2022/06/29 13:59:43 - mmengine - INFO - load model from: torchvision://resnet50 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.1.non_local_block.g.0 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.1.non_local_block.g.0 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.1.non_local_block.conv_out 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.1.non_local_block.bn_out 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.1.non_local_block.theta 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.1.non_local_block.theta 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.1.non_local_block.phi.0 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.1.non_local_block.phi.0 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.3.non_local_block.g.0 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.3.non_local_block.g.0 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.3.non_local_block.conv_out 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.3.non_local_block.bn_out 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.3.non_local_block.theta 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.3.non_local_block.theta 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.3.non_local_block.phi.0 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.3.non_local_block.phi.0 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.1.non_local_block.g.0 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.1.non_local_block.g.0 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.1.non_local_block.conv_out 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.1.non_local_block.bn_out 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.1.non_local_block.theta 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.1.non_local_block.theta 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.1.non_local_block.phi.0 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.1.non_local_block.phi.0 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.3.non_local_block.g.0 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.3.non_local_block.g.0 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.3.non_local_block.conv_out 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.3.non_local_block.bn_out 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.3.non_local_block.theta 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.3.non_local_block.theta 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.3.non_local_block.phi.0 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.3.non_local_block.phi.0 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.5.non_local_block.g.0 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.5.non_local_block.g.0 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.5.non_local_block.conv_out 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.5.non_local_block.bn_out 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.5.non_local_block.theta 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.5.non_local_block.theta 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.5.non_local_block.phi.0 2022/06/29 13:59:52 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.5.non_local_block.phi.0 2022/06/29 13:59:52 - mmengine - INFO - These parameters in the 2d checkpoint are not loaded: {'fc.bias', 'fc.weight'} 2022/06/29 13:59:57 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/hukai/action/work_dirs/i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb by HardDiskBackend. 2022/06/29 14:00:24 - mmengine - INFO - Epoch(train) [1][20/3757] lr: 1.000e-02 eta: 5 days, 21:52:53 time: 0.242 data_time: 0.009 memory: 43554 grad_norm: 5.4278 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 6.1115 loss: 6.1115 2022/06/29 14:00:30 - mmengine - INFO - Epoch(train) [1][40/3757] lr: 1.000e-02 eta: 3 days, 12:35:50 time: 0.268 data_time: 0.009 memory: 6415 grad_norm: 5.3700 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 6.1283 loss: 6.1283 2022/06/29 14:00:35 - mmengine - INFO - Epoch(train) [1][60/3757] lr: 1.000e-02 eta: 2 days, 17:18:00 time: 0.240 data_time: 0.007 memory: 6415 grad_norm: 5.3115 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.8595 loss: 5.8595 2022/06/29 14:00:40 - mmengine - INFO - Epoch(train) [1][80/3757] lr: 1.000e-02 eta: 2 days, 8:03:43 time: 0.254 data_time: 0.007 memory: 6415 grad_norm: 5.4300 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.7502 loss: 5.7502 2022/06/29 14:00:46 - mmengine - INFO - Epoch(train) [1][100/3757] lr: 1.000e-02 eta: 2 days, 2:31:21 time: 0.252 data_time: 0.011 memory: 6415 grad_norm: 5.6068 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.6906 loss: 5.6906 2022/06/29 14:00:51 - mmengine - INFO - Epoch(train) [1][120/3757] lr: 1.000e-02 eta: 1 day, 22:45:04 time: 0.244 data_time: 0.017 memory: 6415 grad_norm: 5.6772 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.6367 loss: 5.6367 2022/06/29 14:00:56 - mmengine - INFO - Epoch(train) [1][140/3757] lr: 1.000e-02 eta: 1 day, 20:00:52 time: 0.288 data_time: 0.013 memory: 6415 grad_norm: 5.7821 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.3837 loss: 5.3837 2022/06/29 14:01:01 - mmengine - INFO - Epoch(train) [1][160/3757] lr: 1.000e-02 eta: 1 day, 17:55:46 time: 0.247 data_time: 0.010 memory: 6415 grad_norm: 5.7318 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.4583 loss: 5.4583 2022/06/29 14:01:07 - mmengine - INFO - Epoch(train) [1][180/3757] lr: 1.000e-02 eta: 1 day, 16:27:49 time: 0.248 data_time: 0.012 memory: 6415 grad_norm: 5.8960 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2651 loss: 5.2651 2022/06/29 14:01:12 - mmengine - INFO - Epoch(train) [1][200/3757] lr: 1.000e-02 eta: 1 day, 15:17:16 time: 0.287 data_time: 0.007 memory: 6415 grad_norm: 6.0089 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.3622 loss: 5.3622 2022/06/29 14:01:19 - mmengine - INFO - Epoch(train) [1][220/3757] lr: 1.000e-02 eta: 1 day, 14:47:09 time: 0.247 data_time: 0.012 memory: 6415 grad_norm: 6.0870 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.9905 loss: 4.9905 2022/06/29 14:01:24 - mmengine - INFO - Epoch(train) [1][240/3757] lr: 1.000e-02 eta: 1 day, 13:42:01 time: 0.251 data_time: 0.007 memory: 6415 grad_norm: 6.3136 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.0603 loss: 5.0603 2022/06/29 14:01:29 - mmengine - INFO - Epoch(train) [1][260/3757] lr: 1.000e-02 eta: 1 day, 12:47:43 time: 0.244 data_time: 0.017 memory: 6415 grad_norm: 6.1065 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.8923 loss: 4.8923 2022/06/29 14:01:36 - mmengine - INFO - Epoch(train) [1][280/3757] lr: 1.000e-02 eta: 1 day, 12:58:44 time: 0.242 data_time: 0.019 memory: 6415 grad_norm: 6.2538 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.7188 loss: 4.7188 2022/06/29 14:01:41 - mmengine - INFO - Epoch(train) [1][300/3757] lr: 1.000e-02 eta: 1 day, 12:15:36 time: 0.245 data_time: 0.007 memory: 6415 grad_norm: 6.1665 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.9980 loss: 4.9980 2022/06/29 14:01:46 - mmengine - INFO - Epoch(train) [1][320/3757] lr: 1.000e-02 eta: 1 day, 11:37:22 time: 0.253 data_time: 0.011 memory: 6415 grad_norm: 6.1544 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.5240 loss: 4.5240 2022/06/29 14:01:52 - mmengine - INFO - Epoch(train) [1][340/3757] lr: 1.000e-02 eta: 1 day, 11:04:23 time: 0.249 data_time: 0.013 memory: 6415 grad_norm: 6.5567 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.0759 loss: 5.0759 2022/06/29 14:01:56 - mmengine - INFO - Epoch(train) [1][360/3757] lr: 1.000e-02 eta: 1 day, 10:33:49 time: 0.252 data_time: 0.006 memory: 6415 grad_norm: 6.8707 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.7438 loss: 4.7438 2022/06/29 14:02:02 - mmengine - INFO - Epoch(train) [1][380/3757] lr: 1.000e-02 eta: 1 day, 10:08:52 time: 0.247 data_time: 0.011 memory: 6415 grad_norm: 6.3961 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.5852 loss: 4.5852 2022/06/29 14:02:08 - mmengine - INFO - Epoch(train) [1][400/3757] lr: 1.000e-02 eta: 1 day, 9:54:15 time: 0.242 data_time: 0.016 memory: 6415 grad_norm: 6.3951 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.7785 loss: 4.7785 2022/06/29 14:02:14 - mmengine - INFO - Epoch(train) [1][420/3757] lr: 1.000e-02 eta: 1 day, 10:03:22 time: 0.246 data_time: 0.009 memory: 6415 grad_norm: 6.4610 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.7230 loss: 4.7230 2022/06/29 14:02:20 - mmengine - INFO - Epoch(train) [1][440/3757] lr: 1.000e-02 eta: 1 day, 9:43:51 time: 0.309 data_time: 0.010 memory: 6415 grad_norm: 6.4823 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.7175 loss: 4.7175 2022/06/29 14:02:25 - mmengine - INFO - Epoch(train) [1][460/3757] lr: 1.000e-02 eta: 1 day, 9:24:11 time: 0.246 data_time: 0.020 memory: 6415 grad_norm: 6.5995 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.8083 loss: 4.8083 2022/06/29 14:02:30 - mmengine - INFO - Epoch(train) [1][480/3757] lr: 1.000e-02 eta: 1 day, 9:07:12 time: 0.246 data_time: 0.007 memory: 6415 grad_norm: 6.1841 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.7367 loss: 4.7367 2022/06/29 14:02:36 - mmengine - INFO - Epoch(train) [1][500/3757] lr: 1.000e-02 eta: 1 day, 9:07:12 time: 0.555 data_time: 0.007 memory: 6415 grad_norm: 6.7030 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.4665 loss: 4.4665 2022/06/29 14:02:41 - mmengine - INFO - Epoch(train) [1][520/3757] lr: 1.000e-02 eta: 1 day, 8:52:22 time: 0.253 data_time: 0.022 memory: 6415 grad_norm: 6.4608 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6095 loss: 4.6095 2022/06/29 14:02:47 - mmengine - INFO - Epoch(train) [1][540/3757] lr: 1.000e-02 eta: 1 day, 8:41:50 time: 0.246 data_time: 0.006 memory: 6415 grad_norm: 6.6802 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.1851 loss: 4.1851 2022/06/29 14:02:52 - mmengine - INFO - Epoch(train) [1][560/3757] lr: 1.000e-02 eta: 1 day, 8:28:26 time: 0.252 data_time: 0.012 memory: 6415 grad_norm: 6.7992 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2534 loss: 4.2534 2022/06/29 14:02:58 - mmengine - INFO - Epoch(train) [1][580/3757] lr: 1.000e-02 eta: 1 day, 8:26:18 time: 0.238 data_time: 0.010 memory: 6415 grad_norm: 6.1164 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.4562 loss: 4.4562 2022/06/29 14:03:03 - mmengine - INFO - Epoch(train) [1][600/3757] lr: 1.000e-02 eta: 1 day, 8:17:26 time: 0.249 data_time: 0.009 memory: 6415 grad_norm: 6.8327 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.6170 loss: 4.6170 2022/06/29 14:03:08 - mmengine - INFO - Epoch(train) [1][620/3757] lr: 1.000e-02 eta: 1 day, 8:07:48 time: 0.281 data_time: 0.055 memory: 6415 grad_norm: 6.7640 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.2953 loss: 4.2953 2022/06/29 14:03:14 - mmengine - INFO - Epoch(train) [1][640/3757] lr: 1.000e-02 eta: 1 day, 7:57:48 time: 0.252 data_time: 0.013 memory: 6415 grad_norm: 6.1606 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 4.3743 loss: 4.3743 2022/06/29 14:03:19 - mmengine - INFO - Epoch(train) [1][660/3757] lr: 1.000e-02 eta: 1 day, 7:55:22 time: 0.268 data_time: 0.025 memory: 6415 grad_norm: 7.3938 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.6901 loss: 4.6901 2022/06/29 14:03:25 - mmengine - INFO - Epoch(train) [1][680/3757] lr: 1.000e-02 eta: 1 day, 7:50:17 time: 0.564 data_time: 0.013 memory: 6415 grad_norm: 7.0215 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 4.2626 loss: 4.2626 2022/06/29 14:03:31 - mmengine - INFO - Epoch(train) [1][700/3757] lr: 1.000e-02 eta: 1 day, 7:48:36 time: 0.247 data_time: 0.010 memory: 6415 grad_norm: 6.4400 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.4040 loss: 4.4040 2022/06/29 14:03:36 - mmengine - INFO - Epoch(train) [1][720/3757] lr: 1.000e-02 eta: 1 day, 7:38:59 time: 0.247 data_time: 0.036 memory: 6415 grad_norm: 6.4584 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.2600 loss: 4.2600 2022/06/29 14:03:41 - mmengine - INFO - Epoch(train) [1][740/3757] lr: 1.000e-02 eta: 1 day, 7:33:53 time: 0.373 data_time: 0.011 memory: 6415 grad_norm: 6.4910 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.1914 loss: 4.1914 2022/06/29 14:03:48 - mmengine - INFO - Epoch(train) [1][760/3757] lr: 1.000e-02 eta: 1 day, 7:38:01 time: 0.250 data_time: 0.013 memory: 6415 grad_norm: 6.3944 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.5851 loss: 4.5851 2022/06/29 14:03:53 - mmengine - INFO - Epoch(train) [1][780/3757] lr: 1.000e-02 eta: 1 day, 7:29:44 time: 0.243 data_time: 0.016 memory: 6415 grad_norm: 6.5218 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.3271 loss: 4.3271 2022/06/29 14:03:58 - mmengine - INFO - Epoch(train) [1][800/3757] lr: 1.000e-02 eta: 1 day, 7:23:49 time: 0.244 data_time: 0.005 memory: 6415 grad_norm: 7.2983 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.9021 loss: 3.9021 2022/06/29 14:04:04 - mmengine - INFO - Epoch(train) [1][820/3757] lr: 1.000e-02 eta: 1 day, 7:15:52 time: 0.297 data_time: 0.008 memory: 6415 grad_norm: 6.3295 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.5052 loss: 4.5052 2022/06/29 14:04:09 - mmengine - INFO - Epoch(train) [1][840/3757] lr: 1.000e-02 eta: 1 day, 7:12:17 time: 0.256 data_time: 0.016 memory: 6415 grad_norm: 6.5975 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.6144 loss: 4.6144 2022/06/29 14:04:14 - mmengine - INFO - Epoch(train) [1][860/3757] lr: 1.000e-02 eta: 1 day, 7:06:05 time: 0.371 data_time: 0.013 memory: 6415 grad_norm: 6.4724 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.2084 loss: 4.2084 2022/06/29 14:04:19 - mmengine - INFO - Epoch(train) [1][880/3757] lr: 1.000e-02 eta: 1 day, 7:00:57 time: 0.245 data_time: 0.010 memory: 6415 grad_norm: 6.9210 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.1893 loss: 4.1893 2022/06/29 14:04:26 - mmengine - INFO - Epoch(train) [1][900/3757] lr: 1.000e-02 eta: 1 day, 7:04:11 time: 0.253 data_time: 0.010 memory: 6415 grad_norm: 6.7323 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.2695 loss: 4.2695 2022/06/29 14:04:31 - mmengine - INFO - Epoch(train) [1][920/3757] lr: 1.000e-02 eta: 1 day, 6:57:49 time: 0.269 data_time: 0.022 memory: 6415 grad_norm: 6.8284 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.5644 loss: 4.5644 2022/06/29 14:04:36 - mmengine - INFO - Epoch(train) [1][940/3757] lr: 1.000e-02 eta: 1 day, 6:52:00 time: 0.247 data_time: 0.011 memory: 6415 grad_norm: 6.7451 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.5373 loss: 4.5373 2022/06/29 14:04:42 - mmengine - INFO - Epoch(train) [1][960/3757] lr: 1.000e-02 eta: 1 day, 6:50:06 time: 0.248 data_time: 0.007 memory: 6415 grad_norm: 6.4257 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.7400 loss: 3.7400 2022/06/29 14:04:48 - mmengine - INFO - Epoch(train) [1][980/3757] lr: 1.000e-02 eta: 1 day, 6:53:14 time: 0.248 data_time: 0.007 memory: 6415 grad_norm: 6.9405 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.4778 loss: 4.4778 2022/06/29 14:04:53 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 14:04:53 - mmengine - INFO - Epoch(train) [1][1000/3757] lr: 1.000e-02 eta: 1 day, 6:48:05 time: 0.239 data_time: 0.011 memory: 6415 grad_norm: 6.5865 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 4.1547 loss: 4.1547 2022/06/29 14:04:58 - mmengine - INFO - Epoch(train) [1][1020/3757] lr: 1.000e-02 eta: 1 day, 6:43:32 time: 0.245 data_time: 0.008 memory: 6415 grad_norm: 6.0592 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.9949 loss: 3.9949 2022/06/29 14:05:03 - mmengine - INFO - Epoch(train) [1][1040/3757] lr: 1.000e-02 eta: 1 day, 6:37:32 time: 0.250 data_time: 0.014 memory: 6415 grad_norm: 6.5658 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.2143 loss: 4.2143 2022/06/29 14:05:09 - mmengine - INFO - Epoch(train) [1][1060/3757] lr: 1.000e-02 eta: 1 day, 6:35:52 time: 0.242 data_time: 0.012 memory: 6415 grad_norm: 7.2847 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.7467 loss: 3.7467 2022/06/29 14:05:14 - mmengine - INFO - Epoch(train) [1][1080/3757] lr: 1.000e-02 eta: 1 day, 6:32:29 time: 0.250 data_time: 0.009 memory: 6415 grad_norm: 6.4811 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.3063 loss: 4.3063 2022/06/29 14:05:20 - mmengine - INFO - Epoch(train) [1][1100/3757] lr: 1.000e-02 eta: 1 day, 6:29:45 time: 0.251 data_time: 0.007 memory: 6415 grad_norm: 6.4985 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 4.1158 loss: 4.1158 2022/06/29 14:05:28 - mmengine - INFO - Epoch(train) [1][1120/3757] lr: 1.000e-02 eta: 1 day, 6:46:35 time: 0.254 data_time: 0.011 memory: 6415 grad_norm: 6.7057 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.1184 loss: 4.1184 2022/06/29 14:05:34 - mmengine - INFO - Epoch(train) [1][1140/3757] lr: 1.000e-02 eta: 1 day, 6:46:08 time: 0.249 data_time: 0.008 memory: 6415 grad_norm: 6.9245 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.3268 loss: 4.3268 2022/06/29 14:05:39 - mmengine - INFO - Epoch(train) [1][1160/3757] lr: 1.000e-02 eta: 1 day, 6:40:56 time: 0.240 data_time: 0.009 memory: 6415 grad_norm: 6.4788 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.6443 loss: 4.6443 2022/06/29 14:05:44 - mmengine - INFO - Epoch(train) [1][1180/3757] lr: 1.000e-02 eta: 1 day, 6:36:30 time: 0.246 data_time: 0.013 memory: 6415 grad_norm: 6.4246 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.1399 loss: 4.1399 2022/06/29 14:05:49 - mmengine - INFO - Epoch(train) [1][1200/3757] lr: 1.000e-02 eta: 1 day, 6:31:52 time: 0.259 data_time: 0.008 memory: 6415 grad_norm: 6.3865 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 4.0559 loss: 4.0559 2022/06/29 14:05:54 - mmengine - INFO - Epoch(train) [1][1220/3757] lr: 1.000e-02 eta: 1 day, 6:27:09 time: 0.239 data_time: 0.006 memory: 6415 grad_norm: 6.6865 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4839 loss: 3.4839 2022/06/29 14:06:00 - mmengine - INFO - Epoch(train) [1][1240/3757] lr: 1.000e-02 eta: 1 day, 6:23:49 time: 0.243 data_time: 0.015 memory: 6415 grad_norm: 6.8661 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9565 loss: 3.9565 2022/06/29 14:06:05 - mmengine - INFO - Epoch(train) [1][1260/3757] lr: 1.000e-02 eta: 1 day, 6:23:08 time: 0.253 data_time: 0.010 memory: 6415 grad_norm: 6.4912 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.1885 loss: 4.1885 2022/06/29 14:06:11 - mmengine - INFO - Epoch(train) [1][1280/3757] lr: 1.000e-02 eta: 1 day, 6:21:35 time: 0.247 data_time: 0.010 memory: 6415 grad_norm: 7.1242 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9376 loss: 3.9376 2022/06/29 14:06:19 - mmengine - INFO - Epoch(train) [1][1300/3757] lr: 1.000e-02 eta: 1 day, 6:31:08 time: 0.236 data_time: 0.009 memory: 6415 grad_norm: 6.5597 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.1193 loss: 4.1193 2022/06/29 14:06:24 - mmengine - INFO - Epoch(train) [1][1320/3757] lr: 1.000e-02 eta: 1 day, 6:30:12 time: 0.240 data_time: 0.009 memory: 6415 grad_norm: 6.2667 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.7396 loss: 3.7396 2022/06/29 14:06:30 - mmengine - INFO - Epoch(train) [1][1340/3757] lr: 1.000e-02 eta: 1 day, 6:26:52 time: 0.250 data_time: 0.010 memory: 6415 grad_norm: 6.4971 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 4.0136 loss: 4.0136 2022/06/29 14:06:35 - mmengine - INFO - Epoch(train) [1][1360/3757] lr: 1.000e-02 eta: 1 day, 6:24:05 time: 0.245 data_time: 0.013 memory: 6415 grad_norm: 6.0655 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.0897 loss: 4.0897 2022/06/29 14:06:40 - mmengine - INFO - Epoch(train) [1][1380/3757] lr: 1.000e-02 eta: 1 day, 6:21:57 time: 0.243 data_time: 0.008 memory: 6415 grad_norm: 6.1683 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3638 loss: 4.3638 2022/06/29 14:06:45 - mmengine - INFO - Epoch(train) [1][1400/3757] lr: 1.000e-02 eta: 1 day, 6:19:23 time: 0.246 data_time: 0.008 memory: 6415 grad_norm: 6.2854 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.4524 loss: 4.4524 2022/06/29 14:06:52 - mmengine - INFO - Epoch(train) [1][1420/3757] lr: 1.000e-02 eta: 1 day, 6:21:16 time: 0.252 data_time: 0.016 memory: 6415 grad_norm: 6.5285 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.3011 loss: 4.3011 2022/06/29 14:06:57 - mmengine - INFO - Epoch(train) [1][1440/3757] lr: 1.000e-02 eta: 1 day, 6:19:16 time: 0.249 data_time: 0.007 memory: 6415 grad_norm: 6.4408 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.0270 loss: 4.0270 2022/06/29 14:07:02 - mmengine - INFO - Epoch(train) [1][1460/3757] lr: 1.000e-02 eta: 1 day, 6:15:58 time: 0.240 data_time: 0.010 memory: 6415 grad_norm: 5.9766 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.0227 loss: 4.0227 2022/06/29 14:07:08 - mmengine - INFO - Epoch(train) [1][1480/3757] lr: 1.000e-02 eta: 1 day, 6:14:36 time: 0.237 data_time: 0.011 memory: 6415 grad_norm: 6.4496 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 4.0651 loss: 4.0651 2022/06/29 14:07:14 - mmengine - INFO - Epoch(train) [1][1500/3757] lr: 1.000e-02 eta: 1 day, 6:16:19 time: 0.247 data_time: 0.008 memory: 6415 grad_norm: 6.3023 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 4.0782 loss: 4.0782 2022/06/29 14:07:19 - mmengine - INFO - Epoch(train) [1][1520/3757] lr: 1.000e-02 eta: 1 day, 6:14:00 time: 0.249 data_time: 0.007 memory: 6415 grad_norm: 6.3675 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.5575 loss: 4.5575 2022/06/29 14:07:24 - mmengine - INFO - Epoch(train) [1][1540/3757] lr: 1.000e-02 eta: 1 day, 6:10:49 time: 0.248 data_time: 0.015 memory: 6415 grad_norm: 6.2501 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8818 loss: 3.8818 2022/06/29 14:07:30 - mmengine - INFO - Epoch(train) [1][1560/3757] lr: 1.000e-02 eta: 1 day, 6:10:05 time: 0.246 data_time: 0.009 memory: 6415 grad_norm: 7.0404 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.8688 loss: 3.8688 2022/06/29 14:07:35 - mmengine - INFO - Epoch(train) [1][1580/3757] lr: 1.000e-02 eta: 1 day, 6:06:53 time: 0.238 data_time: 0.015 memory: 6415 grad_norm: 6.5638 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.9465 loss: 3.9465 2022/06/29 14:07:40 - mmengine - INFO - Epoch(train) [1][1600/3757] lr: 1.000e-02 eta: 1 day, 6:04:53 time: 0.241 data_time: 0.015 memory: 6415 grad_norm: 6.6745 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.5185 loss: 3.5185 2022/06/29 14:07:46 - mmengine - INFO - Epoch(train) [1][1620/3757] lr: 1.000e-02 eta: 1 day, 6:02:54 time: 0.449 data_time: 0.010 memory: 6415 grad_norm: 6.7589 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 4.1353 loss: 4.1353 2022/06/29 14:07:51 - mmengine - INFO - Epoch(train) [1][1640/3757] lr: 1.000e-02 eta: 1 day, 6:01:43 time: 0.246 data_time: 0.006 memory: 6415 grad_norm: 5.9809 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.8555 loss: 3.8555 2022/06/29 14:07:58 - mmengine - INFO - Epoch(train) [1][1660/3757] lr: 1.000e-02 eta: 1 day, 6:04:02 time: 0.239 data_time: 0.020 memory: 6415 grad_norm: 6.2786 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9678 loss: 3.9678 2022/06/29 14:08:03 - mmengine - INFO - Epoch(train) [1][1680/3757] lr: 1.000e-02 eta: 1 day, 6:03:02 time: 0.253 data_time: 0.008 memory: 6415 grad_norm: 6.6237 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.0224 loss: 4.0224 2022/06/29 14:08:09 - mmengine - INFO - Epoch(train) [1][1700/3757] lr: 1.000e-02 eta: 1 day, 6:02:40 time: 0.236 data_time: 0.008 memory: 6415 grad_norm: 6.2745 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.9440 loss: 3.9440 2022/06/29 14:08:14 - mmengine - INFO - Epoch(train) [1][1720/3757] lr: 1.000e-02 eta: 1 day, 6:01:01 time: 0.249 data_time: 0.018 memory: 6415 grad_norm: 6.3058 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6962 loss: 3.6962 2022/06/29 14:08:20 - mmengine - INFO - Epoch(train) [1][1740/3757] lr: 1.000e-02 eta: 1 day, 6:01:51 time: 0.246 data_time: 0.007 memory: 6415 grad_norm: 6.5226 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.9270 loss: 3.9270 2022/06/29 14:08:25 - mmengine - INFO - Epoch(train) [1][1760/3757] lr: 1.000e-02 eta: 1 day, 5:59:09 time: 0.265 data_time: 0.007 memory: 6415 grad_norm: 6.7149 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 4.0664 loss: 4.0664 2022/06/29 14:08:30 - mmengine - INFO - Epoch(train) [1][1780/3757] lr: 1.000e-02 eta: 1 day, 5:56:19 time: 0.237 data_time: 0.006 memory: 6415 grad_norm: 6.8267 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.7847 loss: 3.7847 2022/06/29 14:08:36 - mmengine - INFO - Epoch(train) [1][1800/3757] lr: 1.000e-02 eta: 1 day, 5:55:20 time: 0.248 data_time: 0.008 memory: 6415 grad_norm: 6.6464 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.9237 loss: 3.9237 2022/06/29 14:08:42 - mmengine - INFO - Epoch(train) [1][1820/3757] lr: 1.000e-02 eta: 1 day, 5:55:27 time: 0.244 data_time: 0.014 memory: 6415 grad_norm: 6.8095 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 4.2442 loss: 4.2442 2022/06/29 14:08:47 - mmengine - INFO - Epoch(train) [1][1840/3757] lr: 1.000e-02 eta: 1 day, 5:54:30 time: 0.244 data_time: 0.006 memory: 6415 grad_norm: 7.1123 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.8884 loss: 3.8884 2022/06/29 14:08:52 - mmengine - INFO - Epoch(train) [1][1860/3757] lr: 1.000e-02 eta: 1 day, 5:51:44 time: 0.244 data_time: 0.014 memory: 6415 grad_norm: 6.2123 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.9063 loss: 3.9063 2022/06/29 14:08:59 - mmengine - INFO - Epoch(train) [1][1880/3757] lr: 1.000e-02 eta: 1 day, 5:54:44 time: 0.248 data_time: 0.007 memory: 6415 grad_norm: 6.4076 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.0592 loss: 4.0592 2022/06/29 14:09:04 - mmengine - INFO - Epoch(train) [1][1900/3757] lr: 1.000e-02 eta: 1 day, 5:52:23 time: 0.257 data_time: 0.006 memory: 6415 grad_norm: 6.6400 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 4.0490 loss: 4.0490 2022/06/29 14:09:09 - mmengine - INFO - Epoch(train) [1][1920/3757] lr: 1.000e-02 eta: 1 day, 5:50:32 time: 0.240 data_time: 0.022 memory: 6415 grad_norm: 6.5004 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.8878 loss: 3.8878 2022/06/29 14:09:14 - mmengine - INFO - Epoch(train) [1][1940/3757] lr: 1.000e-02 eta: 1 day, 5:48:35 time: 0.243 data_time: 0.022 memory: 6415 grad_norm: 6.6163 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0711 loss: 4.0711 2022/06/29 14:09:20 - mmengine - INFO - Epoch(train) [1][1960/3757] lr: 1.000e-02 eta: 1 day, 5:48:47 time: 0.252 data_time: 0.025 memory: 6415 grad_norm: 6.8900 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2940 loss: 4.2940 2022/06/29 14:09:25 - mmengine - INFO - Epoch(train) [1][1980/3757] lr: 1.000e-02 eta: 1 day, 5:46:27 time: 0.239 data_time: 0.010 memory: 6415 grad_norm: 6.6188 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.7034 loss: 3.7034 2022/06/29 14:09:30 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 14:09:30 - mmengine - INFO - Epoch(train) [1][2000/3757] lr: 1.000e-02 eta: 1 day, 5:44:41 time: 0.244 data_time: 0.008 memory: 6415 grad_norm: 6.5192 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.3107 loss: 3.3107 2022/06/29 14:09:36 - mmengine - INFO - Epoch(train) [1][2020/3757] lr: 1.000e-02 eta: 1 day, 5:46:05 time: 0.251 data_time: 0.011 memory: 6415 grad_norm: 6.9615 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.5540 loss: 3.5540 2022/06/29 14:09:42 - mmengine - INFO - Epoch(train) [1][2040/3757] lr: 1.000e-02 eta: 1 day, 5:43:50 time: 0.246 data_time: 0.009 memory: 6415 grad_norm: 6.2648 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3278 loss: 3.3278 2022/06/29 14:09:47 - mmengine - INFO - Epoch(train) [1][2060/3757] lr: 1.000e-02 eta: 1 day, 5:42:26 time: 0.251 data_time: 0.011 memory: 6415 grad_norm: 6.5730 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9278 loss: 3.9278 2022/06/29 14:09:52 - mmengine - INFO - Epoch(train) [1][2080/3757] lr: 1.000e-02 eta: 1 day, 5:41:53 time: 0.247 data_time: 0.012 memory: 6415 grad_norm: 6.6285 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8362 loss: 3.8362 2022/06/29 14:09:59 - mmengine - INFO - Epoch(train) [1][2100/3757] lr: 1.000e-02 eta: 1 day, 5:43:03 time: 0.241 data_time: 0.022 memory: 6415 grad_norm: 5.9315 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6043 loss: 3.6043 2022/06/29 14:10:03 - mmengine - INFO - Epoch(train) [1][2120/3757] lr: 1.000e-02 eta: 1 day, 5:40:43 time: 0.241 data_time: 0.011 memory: 6415 grad_norm: 6.2541 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.0279 loss: 4.0279 2022/06/29 14:10:09 - mmengine - INFO - Epoch(train) [1][2140/3757] lr: 1.000e-02 eta: 1 day, 5:39:17 time: 0.251 data_time: 0.008 memory: 6415 grad_norm: 5.9570 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.7412 loss: 3.7412 2022/06/29 14:10:15 - mmengine - INFO - Epoch(train) [1][2160/3757] lr: 1.000e-02 eta: 1 day, 5:40:19 time: 0.245 data_time: 0.007 memory: 6415 grad_norm: 6.3519 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.1831 loss: 4.1831 2022/06/29 14:10:20 - mmengine - INFO - Epoch(train) [1][2180/3757] lr: 1.000e-02 eta: 1 day, 5:38:22 time: 0.244 data_time: 0.007 memory: 6415 grad_norm: 6.7187 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.4649 loss: 3.4649 2022/06/29 14:10:25 - mmengine - INFO - Epoch(train) [1][2200/3757] lr: 1.000e-02 eta: 1 day, 5:37:31 time: 0.252 data_time: 0.022 memory: 6415 grad_norm: 6.5007 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.6360 loss: 3.6360 2022/06/29 14:10:31 - mmengine - INFO - Epoch(train) [1][2220/3757] lr: 1.000e-02 eta: 1 day, 5:36:49 time: 0.246 data_time: 0.009 memory: 6415 grad_norm: 6.9531 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.7322 loss: 3.7322 2022/06/29 14:10:37 - mmengine - INFO - Epoch(train) [1][2240/3757] lr: 1.000e-02 eta: 1 day, 5:37:23 time: 0.245 data_time: 0.043 memory: 6415 grad_norm: 6.5878 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.0778 loss: 4.0778 2022/06/29 14:10:42 - mmengine - INFO - Epoch(train) [1][2260/3757] lr: 1.000e-02 eta: 1 day, 5:35:56 time: 0.250 data_time: 0.013 memory: 6415 grad_norm: 6.4354 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4362 loss: 3.4362 2022/06/29 14:10:48 - mmengine - INFO - Epoch(train) [1][2280/3757] lr: 1.000e-02 eta: 1 day, 5:35:21 time: 0.248 data_time: 0.008 memory: 6415 grad_norm: 6.9659 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6669 loss: 3.6669 2022/06/29 14:10:54 - mmengine - INFO - Epoch(train) [1][2300/3757] lr: 1.000e-02 eta: 1 day, 5:36:41 time: 0.248 data_time: 0.008 memory: 6415 grad_norm: 6.2027 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.7625 loss: 3.7625 2022/06/29 14:10:59 - mmengine - INFO - Epoch(train) [1][2320/3757] lr: 1.000e-02 eta: 1 day, 5:34:50 time: 0.240 data_time: 0.010 memory: 6415 grad_norm: 6.3068 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.0294 loss: 4.0294 2022/06/29 14:11:04 - mmengine - INFO - Epoch(train) [1][2340/3757] lr: 1.000e-02 eta: 1 day, 5:33:24 time: 0.270 data_time: 0.013 memory: 6415 grad_norm: 6.4954 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4017 loss: 3.4017 2022/06/29 14:11:09 - mmengine - INFO - Epoch(train) [1][2360/3757] lr: 1.000e-02 eta: 1 day, 5:32:14 time: 0.249 data_time: 0.013 memory: 6415 grad_norm: 6.1868 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.2153 loss: 4.2153 2022/06/29 14:11:15 - mmengine - INFO - Epoch(train) [1][2380/3757] lr: 1.000e-02 eta: 1 day, 5:32:07 time: 0.243 data_time: 0.006 memory: 6415 grad_norm: 6.6920 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.9833 loss: 3.9833 2022/06/29 14:11:20 - mmengine - INFO - Epoch(train) [1][2400/3757] lr: 1.000e-02 eta: 1 day, 5:30:18 time: 0.242 data_time: 0.019 memory: 6415 grad_norm: 6.5315 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.8616 loss: 3.8616 2022/06/29 14:11:26 - mmengine - INFO - Epoch(train) [1][2420/3757] lr: 1.000e-02 eta: 1 day, 5:29:38 time: 0.250 data_time: 0.013 memory: 6415 grad_norm: 6.7600 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.5698 loss: 3.5698 2022/06/29 14:11:31 - mmengine - INFO - Epoch(train) [1][2440/3757] lr: 1.000e-02 eta: 1 day, 5:27:42 time: 0.242 data_time: 0.006 memory: 6415 grad_norm: 5.7722 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9764 loss: 3.9764 2022/06/29 14:11:36 - mmengine - INFO - Epoch(train) [1][2460/3757] lr: 1.000e-02 eta: 1 day, 5:26:33 time: 0.254 data_time: 0.008 memory: 6415 grad_norm: 6.9284 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5304 loss: 3.5304 2022/06/29 14:11:41 - mmengine - INFO - Epoch(train) [1][2480/3757] lr: 1.000e-02 eta: 1 day, 5:25:12 time: 0.247 data_time: 0.015 memory: 6415 grad_norm: 6.2100 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0288 loss: 3.0288 2022/06/29 14:11:47 - mmengine - INFO - Epoch(train) [1][2500/3757] lr: 1.000e-02 eta: 1 day, 5:25:47 time: 0.249 data_time: 0.007 memory: 6415 grad_norm: 6.4228 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7163 loss: 3.7163 2022/06/29 14:11:52 - mmengine - INFO - Epoch(train) [1][2520/3757] lr: 1.000e-02 eta: 1 day, 5:24:43 time: 0.248 data_time: 0.008 memory: 6415 grad_norm: 6.4155 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.7172 loss: 3.7172 2022/06/29 14:11:58 - mmengine - INFO - Epoch(train) [1][2540/3757] lr: 1.000e-02 eta: 1 day, 5:24:21 time: 0.429 data_time: 0.014 memory: 6415 grad_norm: 6.3969 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7355 loss: 3.7355 2022/06/29 14:12:03 - mmengine - INFO - Epoch(train) [1][2560/3757] lr: 1.000e-02 eta: 1 day, 5:24:09 time: 0.246 data_time: 0.006 memory: 6415 grad_norm: 5.8621 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6505 loss: 3.6505 2022/06/29 14:12:09 - mmengine - INFO - Epoch(train) [1][2580/3757] lr: 1.000e-02 eta: 1 day, 5:23:46 time: 0.240 data_time: 0.007 memory: 6415 grad_norm: 6.8233 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6604 loss: 3.6604 2022/06/29 14:12:15 - mmengine - INFO - Epoch(train) [1][2600/3757] lr: 1.000e-02 eta: 1 day, 5:24:08 time: 1.080 data_time: 0.007 memory: 6415 grad_norm: 6.4177 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4587 loss: 3.4587 2022/06/29 14:12:20 - mmengine - INFO - Epoch(train) [1][2620/3757] lr: 1.000e-02 eta: 1 day, 5:22:23 time: 0.246 data_time: 0.006 memory: 6415 grad_norm: 6.2265 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6377 loss: 3.6377 2022/06/29 14:12:25 - mmengine - INFO - Epoch(train) [1][2640/3757] lr: 1.000e-02 eta: 1 day, 5:21:36 time: 0.506 data_time: 0.010 memory: 6415 grad_norm: 5.8251 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.6630 loss: 3.6630 2022/06/29 14:12:30 - mmengine - INFO - Epoch(train) [1][2660/3757] lr: 1.000e-02 eta: 1 day, 5:20:41 time: 0.354 data_time: 0.014 memory: 6415 grad_norm: 6.2495 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.0077 loss: 4.0077 2022/06/29 14:12:36 - mmengine - INFO - Epoch(train) [1][2680/3757] lr: 1.000e-02 eta: 1 day, 5:20:38 time: 0.248 data_time: 0.007 memory: 6415 grad_norm: 6.0742 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4729 loss: 3.4729 2022/06/29 14:12:41 - mmengine - INFO - Epoch(train) [1][2700/3757] lr: 1.000e-02 eta: 1 day, 5:19:32 time: 0.237 data_time: 0.009 memory: 6415 grad_norm: 6.6397 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.7537 loss: 3.7537 2022/06/29 14:12:47 - mmengine - INFO - Epoch(train) [1][2720/3757] lr: 1.000e-02 eta: 1 day, 5:19:17 time: 0.253 data_time: 0.010 memory: 6415 grad_norm: 6.5802 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.8005 loss: 3.8005 2022/06/29 14:12:53 - mmengine - INFO - Epoch(train) [1][2740/3757] lr: 1.000e-02 eta: 1 day, 5:19:12 time: 0.243 data_time: 0.007 memory: 6415 grad_norm: 6.0295 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3214 loss: 3.3214 2022/06/29 14:12:59 - mmengine - INFO - Epoch(train) [1][2760/3757] lr: 1.000e-02 eta: 1 day, 5:19:35 time: 0.245 data_time: 0.008 memory: 6415 grad_norm: 7.0036 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5925 loss: 3.5925 2022/06/29 14:13:04 - mmengine - INFO - Epoch(train) [1][2780/3757] lr: 1.000e-02 eta: 1 day, 5:18:16 time: 0.251 data_time: 0.011 memory: 6415 grad_norm: 6.2694 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6334 loss: 3.6334 2022/06/29 14:13:10 - mmengine - INFO - Epoch(train) [1][2800/3757] lr: 1.000e-02 eta: 1 day, 5:19:11 time: 0.240 data_time: 0.007 memory: 6415 grad_norm: 6.2851 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.7075 loss: 3.7075 2022/06/29 14:13:15 - mmengine - INFO - Epoch(train) [1][2820/3757] lr: 1.000e-02 eta: 1 day, 5:17:40 time: 0.250 data_time: 0.012 memory: 6415 grad_norm: 6.5477 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4201 loss: 3.4201 2022/06/29 14:13:20 - mmengine - INFO - Epoch(train) [1][2840/3757] lr: 1.000e-02 eta: 1 day, 5:16:37 time: 0.246 data_time: 0.011 memory: 6415 grad_norm: 6.4393 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5794 loss: 3.5794 2022/06/29 14:13:25 - mmengine - INFO - Epoch(train) [1][2860/3757] lr: 1.000e-02 eta: 1 day, 5:16:09 time: 0.246 data_time: 0.006 memory: 6415 grad_norm: 6.3243 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.7350 loss: 3.7350 2022/06/29 14:13:31 - mmengine - INFO - Epoch(train) [1][2880/3757] lr: 1.000e-02 eta: 1 day, 5:14:58 time: 0.249 data_time: 0.011 memory: 6415 grad_norm: 6.1771 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7342 loss: 3.7342 2022/06/29 14:13:36 - mmengine - INFO - Epoch(train) [1][2900/3757] lr: 1.000e-02 eta: 1 day, 5:13:44 time: 0.241 data_time: 0.006 memory: 6415 grad_norm: 6.3120 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.9724 loss: 3.9724 2022/06/29 14:13:41 - mmengine - INFO - Epoch(train) [1][2920/3757] lr: 1.000e-02 eta: 1 day, 5:13:06 time: 0.253 data_time: 0.006 memory: 6415 grad_norm: 6.2296 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6176 loss: 3.6176 2022/06/29 14:13:47 - mmengine - INFO - Epoch(train) [1][2940/3757] lr: 1.000e-02 eta: 1 day, 5:13:19 time: 0.256 data_time: 0.007 memory: 6415 grad_norm: 5.9994 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3233 loss: 3.3233 2022/06/29 14:13:52 - mmengine - INFO - Epoch(train) [1][2960/3757] lr: 1.000e-02 eta: 1 day, 5:12:59 time: 0.242 data_time: 0.007 memory: 6415 grad_norm: 6.1114 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 3.7346 loss: 3.7346 2022/06/29 14:13:58 - mmengine - INFO - Epoch(train) [1][2980/3757] lr: 1.000e-02 eta: 1 day, 5:13:22 time: 0.246 data_time: 0.011 memory: 6415 grad_norm: 6.7926 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2406 loss: 3.2406 2022/06/29 14:14:04 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 14:14:04 - mmengine - INFO - Epoch(train) [1][3000/3757] lr: 1.000e-02 eta: 1 day, 5:12:31 time: 0.245 data_time: 0.008 memory: 6415 grad_norm: 5.8792 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.8917 loss: 3.8917 2022/06/29 14:14:09 - mmengine - INFO - Epoch(train) [1][3020/3757] lr: 1.000e-02 eta: 1 day, 5:12:46 time: 0.247 data_time: 0.007 memory: 6415 grad_norm: 6.5788 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.6969 loss: 3.6969 2022/06/29 14:14:15 - mmengine - INFO - Epoch(train) [1][3040/3757] lr: 1.000e-02 eta: 1 day, 5:11:44 time: 0.324 data_time: 0.008 memory: 6415 grad_norm: 6.4111 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.8174 loss: 3.8174 2022/06/29 14:14:20 - mmengine - INFO - Epoch(train) [1][3060/3757] lr: 1.000e-02 eta: 1 day, 5:10:56 time: 0.241 data_time: 0.006 memory: 6415 grad_norm: 6.4671 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.7592 loss: 3.7592 2022/06/29 14:14:26 - mmengine - INFO - Epoch(train) [1][3080/3757] lr: 1.000e-02 eta: 1 day, 5:11:21 time: 0.245 data_time: 0.007 memory: 6415 grad_norm: 6.6650 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.7430 loss: 3.7430 2022/06/29 14:14:31 - mmengine - INFO - Epoch(train) [1][3100/3757] lr: 1.000e-02 eta: 1 day, 5:11:22 time: 0.249 data_time: 0.008 memory: 6415 grad_norm: 5.9437 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1029 loss: 3.1029 2022/06/29 14:14:37 - mmengine - INFO - Epoch(train) [1][3120/3757] lr: 1.000e-02 eta: 1 day, 5:10:40 time: 0.245 data_time: 0.006 memory: 6415 grad_norm: 6.7992 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7382 loss: 3.7382 2022/06/29 14:14:42 - mmengine - INFO - Epoch(train) [1][3140/3757] lr: 1.000e-02 eta: 1 day, 5:10:02 time: 0.242 data_time: 0.013 memory: 6415 grad_norm: 6.2231 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7536 loss: 3.7536 2022/06/29 14:14:47 - mmengine - INFO - Epoch(train) [1][3160/3757] lr: 1.000e-02 eta: 1 day, 5:09:08 time: 0.250 data_time: 0.012 memory: 6415 grad_norm: 6.5362 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7381 loss: 3.7381 2022/06/29 14:14:53 - mmengine - INFO - Epoch(train) [1][3180/3757] lr: 1.000e-02 eta: 1 day, 5:08:25 time: 0.251 data_time: 0.006 memory: 6415 grad_norm: 6.0122 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3360 loss: 3.3360 2022/06/29 14:14:59 - mmengine - INFO - Epoch(train) [1][3200/3757] lr: 1.000e-02 eta: 1 day, 5:10:28 time: 0.243 data_time: 0.006 memory: 6415 grad_norm: 6.5339 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.4797 loss: 3.4797 2022/06/29 14:15:04 - mmengine - INFO - Epoch(train) [1][3220/3757] lr: 1.000e-02 eta: 1 day, 5:09:06 time: 0.249 data_time: 0.012 memory: 6415 grad_norm: 6.0403 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9836 loss: 3.9836 2022/06/29 14:15:09 - mmengine - INFO - Epoch(train) [1][3240/3757] lr: 1.000e-02 eta: 1 day, 5:07:51 time: 0.252 data_time: 0.013 memory: 6415 grad_norm: 6.4613 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.7322 loss: 3.7322 2022/06/29 14:15:15 - mmengine - INFO - Epoch(train) [1][3260/3757] lr: 1.000e-02 eta: 1 day, 5:08:18 time: 1.252 data_time: 0.017 memory: 6415 grad_norm: 6.7684 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.5134 loss: 3.5134 2022/06/29 14:15:21 - mmengine - INFO - Epoch(train) [1][3280/3757] lr: 1.000e-02 eta: 1 day, 5:07:47 time: 0.237 data_time: 0.006 memory: 6415 grad_norm: 6.8324 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6619 loss: 3.6619 2022/06/29 14:15:26 - mmengine - INFO - Epoch(train) [1][3300/3757] lr: 1.000e-02 eta: 1 day, 5:07:20 time: 0.243 data_time: 0.013 memory: 6415 grad_norm: 5.9511 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4264 loss: 3.4264 2022/06/29 14:15:32 - mmengine - INFO - Epoch(train) [1][3320/3757] lr: 1.000e-02 eta: 1 day, 5:07:06 time: 0.248 data_time: 0.018 memory: 6415 grad_norm: 6.3460 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6453 loss: 3.6453 2022/06/29 14:15:37 - mmengine - INFO - Epoch(train) [1][3340/3757] lr: 1.000e-02 eta: 1 day, 5:06:59 time: 0.246 data_time: 0.007 memory: 6415 grad_norm: 6.6853 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.4169 loss: 3.4169 2022/06/29 14:15:42 - mmengine - INFO - Epoch(train) [1][3360/3757] lr: 1.000e-02 eta: 1 day, 5:05:44 time: 0.247 data_time: 0.011 memory: 6415 grad_norm: 6.4756 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.6027 loss: 3.6027 2022/06/29 14:15:48 - mmengine - INFO - Epoch(train) [1][3380/3757] lr: 1.000e-02 eta: 1 day, 5:05:12 time: 0.361 data_time: 0.011 memory: 6415 grad_norm: 6.9928 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4937 loss: 3.4937 2022/06/29 14:15:54 - mmengine - INFO - Epoch(train) [1][3400/3757] lr: 1.000e-02 eta: 1 day, 5:05:38 time: 0.244 data_time: 0.008 memory: 6415 grad_norm: 6.8564 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.4511 loss: 3.4511 2022/06/29 14:16:07 - mmengine - INFO - Epoch(train) [1][3420/3757] lr: 1.000e-02 eta: 1 day, 5:19:14 time: 0.243 data_time: 0.010 memory: 6415 grad_norm: 6.6671 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4431 loss: 3.4431 2022/06/29 14:16:12 - mmengine - INFO - Epoch(train) [1][3440/3757] lr: 1.000e-02 eta: 1 day, 5:18:15 time: 0.262 data_time: 0.013 memory: 6415 grad_norm: 5.9812 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4686 loss: 3.4686 2022/06/29 14:16:17 - mmengine - INFO - Epoch(train) [1][3460/3757] lr: 1.000e-02 eta: 1 day, 5:17:07 time: 0.237 data_time: 0.014 memory: 6415 grad_norm: 6.3111 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2936 loss: 3.2936 2022/06/29 14:16:22 - mmengine - INFO - Epoch(train) [1][3480/3757] lr: 1.000e-02 eta: 1 day, 5:15:58 time: 0.245 data_time: 0.008 memory: 6415 grad_norm: 6.5305 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1767 loss: 3.1767 2022/06/29 14:16:27 - mmengine - INFO - Epoch(train) [1][3500/3757] lr: 1.000e-02 eta: 1 day, 5:14:44 time: 0.244 data_time: 0.016 memory: 6415 grad_norm: 6.7379 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3913 loss: 3.3913 2022/06/29 14:16:32 - mmengine - INFO - Epoch(train) [1][3520/3757] lr: 1.000e-02 eta: 1 day, 5:13:31 time: 0.247 data_time: 0.007 memory: 6415 grad_norm: 6.5213 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.4009 loss: 3.4009 2022/06/29 14:16:38 - mmengine - INFO - Epoch(train) [1][3540/3757] lr: 1.000e-02 eta: 1 day, 5:13:00 time: 0.245 data_time: 0.006 memory: 6415 grad_norm: 6.6404 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4870 loss: 3.4870 2022/06/29 14:16:43 - mmengine - INFO - Epoch(train) [1][3560/3757] lr: 1.000e-02 eta: 1 day, 5:12:13 time: 0.248 data_time: 0.013 memory: 6415 grad_norm: 6.9351 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.5824 loss: 3.5824 2022/06/29 14:16:49 - mmengine - INFO - Epoch(train) [1][3580/3757] lr: 1.000e-02 eta: 1 day, 5:13:05 time: 0.238 data_time: 0.008 memory: 6415 grad_norm: 6.1960 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2995 loss: 3.2995 2022/06/29 14:16:56 - mmengine - INFO - Epoch(train) [1][3600/3757] lr: 1.000e-02 eta: 1 day, 5:14:17 time: 0.255 data_time: 0.010 memory: 6415 grad_norm: 6.1067 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4148 loss: 3.4148 2022/06/29 14:17:01 - mmengine - INFO - Epoch(train) [1][3620/3757] lr: 1.000e-02 eta: 1 day, 5:12:59 time: 0.247 data_time: 0.010 memory: 6415 grad_norm: 6.2161 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8006 loss: 3.8006 2022/06/29 14:17:06 - mmengine - INFO - Epoch(train) [1][3640/3757] lr: 1.000e-02 eta: 1 day, 5:12:44 time: 0.250 data_time: 0.007 memory: 6415 grad_norm: 6.2743 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5023 loss: 3.5023 2022/06/29 14:17:12 - mmengine - INFO - Epoch(train) [1][3660/3757] lr: 1.000e-02 eta: 1 day, 5:12:21 time: 0.252 data_time: 0.011 memory: 6415 grad_norm: 6.1009 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1567 loss: 3.1567 2022/06/29 14:17:17 - mmengine - INFO - Epoch(train) [1][3680/3757] lr: 1.000e-02 eta: 1 day, 5:11:18 time: 0.248 data_time: 0.012 memory: 6415 grad_norm: 6.4859 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4142 loss: 3.4142 2022/06/29 14:17:22 - mmengine - INFO - Epoch(train) [1][3700/3757] lr: 1.000e-02 eta: 1 day, 5:10:24 time: 0.241 data_time: 0.007 memory: 6415 grad_norm: 6.6271 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9670 loss: 2.9670 2022/06/29 14:17:28 - mmengine - INFO - Epoch(train) [1][3720/3757] lr: 1.000e-02 eta: 1 day, 5:10:56 time: 0.256 data_time: 0.060 memory: 6415 grad_norm: 6.5068 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2778 loss: 3.2778 2022/06/29 14:17:34 - mmengine - INFO - Epoch(train) [1][3740/3757] lr: 1.000e-02 eta: 1 day, 5:12:05 time: 0.230 data_time: 0.011 memory: 6415 grad_norm: 5.8241 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.7229 loss: 3.7229 2022/06/29 14:18:20 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 14:18:29 - mmengine - INFO - Epoch(val) [1][20/310] eta: 0:01:27 time: 0.080 data_time: 0.005 memory: 43022 2022/06/29 14:18:35 - mmengine - INFO - Epoch(val) [1][40/310] eta: 0:01:23 time: 0.255 data_time: 0.164 memory: 1479 2022/06/29 14:18:39 - mmengine - INFO - Epoch(val) [1][60/310] eta: 0:00:22 time: 0.103 data_time: 0.009 memory: 1479 2022/06/29 14:18:45 - mmengine - INFO - Epoch(val) [1][80/310] eta: 0:01:09 time: 0.094 data_time: 0.004 memory: 1479 2022/06/29 14:18:51 - mmengine - INFO - Epoch(val) [1][100/310] eta: 0:01:03 time: 0.618 data_time: 0.537 memory: 1479 2022/06/29 14:18:55 - mmengine - INFO - Epoch(val) [1][120/310] eta: 0:00:29 time: 0.101 data_time: 0.006 memory: 1479 2022/06/29 14:19:01 - mmengine - INFO - Epoch(val) [1][140/310] eta: 0:00:52 time: 0.079 data_time: 0.004 memory: 1479 2022/06/29 14:19:07 - mmengine - INFO - Epoch(val) [1][160/310] eta: 0:00:43 time: 1.133 data_time: 1.045 memory: 1479 2022/06/29 14:19:11 - mmengine - INFO - Epoch(val) [1][180/310] eta: 0:00:27 time: 0.079 data_time: 0.006 memory: 1479 2022/06/29 14:19:17 - mmengine - INFO - Epoch(val) [1][200/310] eta: 0:00:33 time: 0.087 data_time: 0.005 memory: 1479 2022/06/29 14:19:23 - mmengine - INFO - Epoch(val) [1][220/310] eta: 0:00:25 time: 0.334 data_time: 0.261 memory: 1479 2022/06/29 14:19:27 - mmengine - INFO - Epoch(val) [1][240/310] eta: 0:00:20 time: 0.080 data_time: 0.006 memory: 1479 2022/06/29 14:19:33 - mmengine - INFO - Epoch(val) [1][260/310] eta: 0:00:15 time: 0.082 data_time: 0.005 memory: 1479 2022/06/29 14:19:39 - mmengine - INFO - Epoch(val) [1][280/310] eta: 0:00:08 time: 0.574 data_time: 0.486 memory: 1479 2022/06/29 14:19:43 - mmengine - INFO - Epoch(val) [1][300/310] eta: 0:00:02 time: 0.082 data_time: 0.007 memory: 1479 2022/06/29 14:19:57 - mmengine - INFO - Epoch(val) [1][310/310] acc/top1: 0.2816 acc/top5: 0.5534 acc/mean1: 0.2815 2022/06/29 14:20:06 - mmengine - INFO - Epoch(train) [2][20/3757] lr: 1.000e-02 eta: 1 day, 5:13:02 time: 0.244 data_time: 0.008 memory: 37698 grad_norm: 6.1452 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.5040 loss: 3.5040 2022/06/29 14:20:12 - mmengine - INFO - Epoch(train) [2][40/3757] lr: 1.000e-02 eta: 1 day, 5:13:01 time: 0.240 data_time: 0.007 memory: 6404 grad_norm: 5.7556 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6522 loss: 3.6522 2022/06/29 14:20:17 - mmengine - INFO - Epoch(train) [2][60/3757] lr: 1.000e-02 eta: 1 day, 5:13:13 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 6.1023 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3934 loss: 3.3934 2022/06/29 14:20:23 - mmengine - INFO - Epoch(train) [2][80/3757] lr: 1.000e-02 eta: 1 day, 5:13:24 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 6.3312 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3627 loss: 3.3627 2022/06/29 14:20:29 - mmengine - INFO - Epoch(train) [2][100/3757] lr: 1.000e-02 eta: 1 day, 5:13:29 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.1996 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1391 loss: 3.1391 2022/06/29 14:20:34 - mmengine - INFO - Epoch(train) [2][120/3757] lr: 1.000e-02 eta: 1 day, 5:12:35 time: 0.244 data_time: 0.005 memory: 6404 grad_norm: 6.3863 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2796 loss: 3.2796 2022/06/29 14:20:40 - mmengine - INFO - Epoch(train) [2][140/3757] lr: 1.000e-02 eta: 1 day, 5:12:17 time: 0.245 data_time: 0.009 memory: 6404 grad_norm: 6.4653 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0797 loss: 3.0797 2022/06/29 14:20:45 - mmengine - INFO - Epoch(train) [2][160/3757] lr: 1.000e-02 eta: 1 day, 5:12:15 time: 0.245 data_time: 0.005 memory: 6404 grad_norm: 6.1683 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.5309 loss: 3.5309 2022/06/29 14:20:50 - mmengine - INFO - Epoch(train) [2][180/3757] lr: 1.000e-02 eta: 1 day, 5:11:11 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 6.6222 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2953 loss: 3.2953 2022/06/29 14:20:56 - mmengine - INFO - Epoch(train) [2][200/3757] lr: 1.000e-02 eta: 1 day, 5:11:23 time: 0.244 data_time: 0.009 memory: 6404 grad_norm: 6.6227 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7433 loss: 3.7433 2022/06/29 14:21:02 - mmengine - INFO - Epoch(train) [2][220/3757] lr: 1.000e-02 eta: 1 day, 5:11:34 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.3325 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3871 loss: 3.3871 2022/06/29 14:21:08 - mmengine - INFO - Epoch(train) [2][240/3757] lr: 1.000e-02 eta: 1 day, 5:11:56 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 6.1725 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2237 loss: 3.2237 2022/06/29 14:21:09 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 14:21:13 - mmengine - INFO - Epoch(train) [2][260/3757] lr: 1.000e-02 eta: 1 day, 5:10:46 time: 0.237 data_time: 0.007 memory: 6404 grad_norm: 6.2968 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6864 loss: 3.6864 2022/06/29 14:21:18 - mmengine - INFO - Epoch(train) [2][280/3757] lr: 1.000e-02 eta: 1 day, 5:09:49 time: 0.251 data_time: 0.018 memory: 6404 grad_norm: 7.0305 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9244 loss: 2.9244 2022/06/29 14:21:24 - mmengine - INFO - Epoch(train) [2][300/3757] lr: 1.000e-02 eta: 1 day, 5:09:26 time: 0.281 data_time: 0.006 memory: 6404 grad_norm: 6.8167 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7096 loss: 3.7096 2022/06/29 14:21:29 - mmengine - INFO - Epoch(train) [2][320/3757] lr: 1.000e-02 eta: 1 day, 5:09:43 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 6.4087 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5211 loss: 3.5211 2022/06/29 14:21:35 - mmengine - INFO - Epoch(train) [2][340/3757] lr: 1.000e-02 eta: 1 day, 5:09:11 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.8276 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.6630 loss: 3.6630 2022/06/29 14:21:40 - mmengine - INFO - Epoch(train) [2][360/3757] lr: 1.000e-02 eta: 1 day, 5:09:00 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 6.0924 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.4530 loss: 3.4530 2022/06/29 14:21:46 - mmengine - INFO - Epoch(train) [2][380/3757] lr: 1.000e-02 eta: 1 day, 5:08:40 time: 0.252 data_time: 0.020 memory: 6404 grad_norm: 6.3127 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2838 loss: 3.2838 2022/06/29 14:21:51 - mmengine - INFO - Epoch(train) [2][400/3757] lr: 1.000e-02 eta: 1 day, 5:08:05 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.0008 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.5928 loss: 3.5928 2022/06/29 14:21:57 - mmengine - INFO - Epoch(train) [2][420/3757] lr: 1.000e-02 eta: 1 day, 5:07:58 time: 0.235 data_time: 0.006 memory: 6404 grad_norm: 6.1873 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3438 loss: 3.3438 2022/06/29 14:22:02 - mmengine - INFO - Epoch(train) [2][440/3757] lr: 1.000e-02 eta: 1 day, 5:07:39 time: 0.243 data_time: 0.013 memory: 6404 grad_norm: 6.1007 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5176 loss: 3.5176 2022/06/29 14:22:08 - mmengine - INFO - Epoch(train) [2][460/3757] lr: 1.000e-02 eta: 1 day, 5:07:26 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.7203 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.4435 loss: 3.4435 2022/06/29 14:22:14 - mmengine - INFO - Epoch(train) [2][480/3757] lr: 1.000e-02 eta: 1 day, 5:08:07 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 6.2347 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2536 loss: 3.2536 2022/06/29 14:22:19 - mmengine - INFO - Epoch(train) [2][500/3757] lr: 1.000e-02 eta: 1 day, 5:07:13 time: 0.237 data_time: 0.019 memory: 6404 grad_norm: 6.3159 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2568 loss: 3.2568 2022/06/29 14:22:25 - mmengine - INFO - Epoch(train) [2][520/3757] lr: 1.000e-02 eta: 1 day, 5:06:38 time: 0.236 data_time: 0.013 memory: 6404 grad_norm: 5.9494 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2386 loss: 3.2386 2022/06/29 14:22:30 - mmengine - INFO - Epoch(train) [2][540/3757] lr: 1.000e-02 eta: 1 day, 5:06:08 time: 0.241 data_time: 0.006 memory: 6404 grad_norm: 6.3975 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2973 loss: 3.2973 2022/06/29 14:22:36 - mmengine - INFO - Epoch(train) [2][560/3757] lr: 1.000e-02 eta: 1 day, 5:06:07 time: 0.406 data_time: 0.200 memory: 6404 grad_norm: 5.7545 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3287 loss: 3.3287 2022/06/29 14:22:41 - mmengine - INFO - Epoch(train) [2][580/3757] lr: 1.000e-02 eta: 1 day, 5:05:38 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 6.3081 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5398 loss: 3.5398 2022/06/29 14:22:46 - mmengine - INFO - Epoch(train) [2][600/3757] lr: 1.000e-02 eta: 1 day, 5:05:05 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 6.2474 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3183 loss: 3.3183 2022/06/29 14:22:53 - mmengine - INFO - Epoch(train) [2][620/3757] lr: 1.000e-02 eta: 1 day, 5:06:01 time: 0.240 data_time: 0.013 memory: 6404 grad_norm: 6.5262 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9523 loss: 2.9523 2022/06/29 14:22:58 - mmengine - INFO - Epoch(train) [2][640/3757] lr: 1.000e-02 eta: 1 day, 5:05:18 time: 0.246 data_time: 0.005 memory: 6404 grad_norm: 6.5680 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1643 loss: 3.1643 2022/06/29 14:23:03 - mmengine - INFO - Epoch(train) [2][660/3757] lr: 1.000e-02 eta: 1 day, 5:04:17 time: 0.239 data_time: 0.010 memory: 6404 grad_norm: 6.5585 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.7243 loss: 3.7243 2022/06/29 14:23:08 - mmengine - INFO - Epoch(train) [2][680/3757] lr: 1.000e-02 eta: 1 day, 5:03:59 time: 0.239 data_time: 0.015 memory: 6404 grad_norm: 7.0073 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.4857 loss: 3.4857 2022/06/29 14:23:14 - mmengine - INFO - Epoch(train) [2][700/3757] lr: 1.000e-02 eta: 1 day, 5:03:56 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 6.2923 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2141 loss: 3.2141 2022/06/29 14:23:19 - mmengine - INFO - Epoch(train) [2][720/3757] lr: 1.000e-02 eta: 1 day, 5:03:40 time: 0.235 data_time: 0.005 memory: 6404 grad_norm: 6.4852 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1726 loss: 3.1726 2022/06/29 14:23:25 - mmengine - INFO - Epoch(train) [2][740/3757] lr: 1.000e-02 eta: 1 day, 5:03:42 time: 0.267 data_time: 0.006 memory: 6404 grad_norm: 6.0952 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.4217 loss: 3.4217 2022/06/29 14:23:31 - mmengine - INFO - Epoch(train) [2][760/3757] lr: 1.000e-02 eta: 1 day, 5:03:56 time: 0.245 data_time: 0.015 memory: 6404 grad_norm: 6.3071 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0996 loss: 3.0996 2022/06/29 14:23:37 - mmengine - INFO - Epoch(train) [2][780/3757] lr: 1.000e-02 eta: 1 day, 5:04:12 time: 0.236 data_time: 0.006 memory: 6404 grad_norm: 6.6456 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8116 loss: 2.8116 2022/06/29 14:23:42 - mmengine - INFO - Epoch(train) [2][800/3757] lr: 1.000e-02 eta: 1 day, 5:03:26 time: 0.246 data_time: 0.014 memory: 6404 grad_norm: 6.3015 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6274 loss: 3.6274 2022/06/29 14:23:47 - mmengine - INFO - Epoch(train) [2][820/3757] lr: 1.000e-02 eta: 1 day, 5:02:31 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 6.9148 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3625 loss: 3.3625 2022/06/29 14:23:54 - mmengine - INFO - Epoch(train) [2][840/3757] lr: 1.000e-02 eta: 1 day, 5:04:01 time: 0.273 data_time: 0.018 memory: 6404 grad_norm: 6.2247 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.4322 loss: 3.4322 2022/06/29 14:24:00 - mmengine - INFO - Epoch(train) [2][860/3757] lr: 1.000e-02 eta: 1 day, 5:04:19 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 6.5924 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.4451 loss: 3.4451 2022/06/29 14:24:05 - mmengine - INFO - Epoch(train) [2][880/3757] lr: 1.000e-02 eta: 1 day, 5:03:22 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 6.5694 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1218 loss: 3.1218 2022/06/29 14:24:10 - mmengine - INFO - Epoch(train) [2][900/3757] lr: 1.000e-02 eta: 1 day, 5:02:31 time: 0.290 data_time: 0.012 memory: 6404 grad_norm: 6.4498 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1541 loss: 3.1541 2022/06/29 14:24:15 - mmengine - INFO - Epoch(train) [2][920/3757] lr: 1.000e-02 eta: 1 day, 5:02:04 time: 0.481 data_time: 0.006 memory: 6404 grad_norm: 6.5817 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3501 loss: 3.3501 2022/06/29 14:24:21 - mmengine - INFO - Epoch(train) [2][940/3757] lr: 1.000e-02 eta: 1 day, 5:02:16 time: 0.702 data_time: 0.010 memory: 6404 grad_norm: 6.6903 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3075 loss: 3.3075 2022/06/29 14:24:27 - mmengine - INFO - Epoch(train) [2][960/3757] lr: 1.000e-02 eta: 1 day, 5:02:01 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 6.8602 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7411 loss: 2.7411 2022/06/29 14:24:32 - mmengine - INFO - Epoch(train) [2][980/3757] lr: 1.000e-02 eta: 1 day, 5:01:34 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 6.2149 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1359 loss: 3.1359 2022/06/29 14:24:37 - mmengine - INFO - Epoch(train) [2][1000/3757] lr: 1.000e-02 eta: 1 day, 5:01:09 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 6.8525 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.2353 loss: 3.2353 2022/06/29 14:24:43 - mmengine - INFO - Epoch(train) [2][1020/3757] lr: 1.000e-02 eta: 1 day, 5:01:26 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 6.0382 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5285 loss: 3.5285 2022/06/29 14:24:49 - mmengine - INFO - Epoch(train) [2][1040/3757] lr: 1.000e-02 eta: 1 day, 5:00:37 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 6.4502 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2378 loss: 3.2378 2022/06/29 14:24:54 - mmengine - INFO - Epoch(train) [2][1060/3757] lr: 1.000e-02 eta: 1 day, 4:59:49 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 6.5586 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2240 loss: 3.2240 2022/06/29 14:24:59 - mmengine - INFO - Epoch(train) [2][1080/3757] lr: 1.000e-02 eta: 1 day, 4:59:40 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 6.3852 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.6929 loss: 3.6929 2022/06/29 14:25:05 - mmengine - INFO - Epoch(train) [2][1100/3757] lr: 1.000e-02 eta: 1 day, 4:59:15 time: 0.386 data_time: 0.020 memory: 6404 grad_norm: 5.5831 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9925 loss: 2.9925 2022/06/29 14:25:10 - mmengine - INFO - Epoch(train) [2][1120/3757] lr: 1.000e-02 eta: 1 day, 4:59:00 time: 0.267 data_time: 0.022 memory: 6404 grad_norm: 6.3722 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.4001 loss: 3.4001 2022/06/29 14:25:16 - mmengine - INFO - Epoch(train) [2][1140/3757] lr: 1.000e-02 eta: 1 day, 4:59:25 time: 0.277 data_time: 0.007 memory: 6404 grad_norm: 6.5941 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.4317 loss: 3.4317 2022/06/29 14:25:21 - mmengine - INFO - Epoch(train) [2][1160/3757] lr: 1.000e-02 eta: 1 day, 4:58:53 time: 0.264 data_time: 0.025 memory: 6404 grad_norm: 6.2217 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4177 loss: 3.4177 2022/06/29 14:25:27 - mmengine - INFO - Epoch(train) [2][1180/3757] lr: 1.000e-02 eta: 1 day, 4:58:38 time: 0.268 data_time: 0.012 memory: 6404 grad_norm: 5.9494 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1614 loss: 3.1614 2022/06/29 14:25:32 - mmengine - INFO - Epoch(train) [2][1200/3757] lr: 1.000e-02 eta: 1 day, 4:57:47 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 5.6106 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.0381 loss: 3.0381 2022/06/29 14:25:38 - mmengine - INFO - Epoch(train) [2][1220/3757] lr: 1.000e-02 eta: 1 day, 4:58:18 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 5.9900 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2196 loss: 3.2196 2022/06/29 14:25:44 - mmengine - INFO - Epoch(train) [2][1240/3757] lr: 1.000e-02 eta: 1 day, 4:58:05 time: 0.437 data_time: 0.012 memory: 6404 grad_norm: 6.7596 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4000 loss: 3.4000 2022/06/29 14:25:44 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 14:25:49 - mmengine - INFO - Epoch(train) [2][1260/3757] lr: 1.000e-02 eta: 1 day, 4:58:09 time: 0.297 data_time: 0.007 memory: 6404 grad_norm: 7.1029 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.5382 loss: 3.5382 2022/06/29 14:25:55 - mmengine - INFO - Epoch(train) [2][1280/3757] lr: 1.000e-02 eta: 1 day, 4:57:42 time: 0.248 data_time: 0.016 memory: 6404 grad_norm: 6.2302 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1426 loss: 3.1426 2022/06/29 14:26:00 - mmengine - INFO - Epoch(train) [2][1300/3757] lr: 1.000e-02 eta: 1 day, 4:57:32 time: 0.462 data_time: 0.013 memory: 6404 grad_norm: 5.8863 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8887 loss: 2.8887 2022/06/29 14:26:05 - mmengine - INFO - Epoch(train) [2][1320/3757] lr: 1.000e-02 eta: 1 day, 4:56:47 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 6.0717 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0055 loss: 3.0055 2022/06/29 14:26:11 - mmengine - INFO - Epoch(train) [2][1340/3757] lr: 1.000e-02 eta: 1 day, 4:56:27 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 6.3014 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5850 loss: 3.5850 2022/06/29 14:26:16 - mmengine - INFO - Epoch(train) [2][1360/3757] lr: 1.000e-02 eta: 1 day, 4:56:35 time: 0.779 data_time: 0.019 memory: 6404 grad_norm: 6.0803 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8582 loss: 2.8582 2022/06/29 14:26:22 - mmengine - INFO - Epoch(train) [2][1380/3757] lr: 1.000e-02 eta: 1 day, 4:55:47 time: 0.241 data_time: 0.006 memory: 6404 grad_norm: 6.7374 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3516 loss: 3.3516 2022/06/29 14:26:27 - mmengine - INFO - Epoch(train) [2][1400/3757] lr: 1.000e-02 eta: 1 day, 4:55:28 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 5.8887 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1905 loss: 3.1905 2022/06/29 14:26:33 - mmengine - INFO - Epoch(train) [2][1420/3757] lr: 1.000e-02 eta: 1 day, 4:55:39 time: 0.271 data_time: 0.015 memory: 6404 grad_norm: 6.5542 top1_acc: 0.1250 top5_acc: 1.0000 loss_cls: 3.4574 loss: 3.4574 2022/06/29 14:26:38 - mmengine - INFO - Epoch(train) [2][1440/3757] lr: 1.000e-02 eta: 1 day, 4:55:30 time: 0.290 data_time: 0.006 memory: 6404 grad_norm: 6.0445 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3466 loss: 3.3466 2022/06/29 14:26:44 - mmengine - INFO - Epoch(train) [2][1460/3757] lr: 1.000e-02 eta: 1 day, 4:55:03 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 6.5187 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1562 loss: 3.1562 2022/06/29 14:26:49 - mmengine - INFO - Epoch(train) [2][1480/3757] lr: 1.000e-02 eta: 1 day, 4:55:01 time: 0.530 data_time: 0.013 memory: 6404 grad_norm: 5.5865 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1156 loss: 3.1156 2022/06/29 14:26:55 - mmengine - INFO - Epoch(train) [2][1500/3757] lr: 1.000e-02 eta: 1 day, 4:55:12 time: 0.245 data_time: 0.005 memory: 6404 grad_norm: 6.0780 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0482 loss: 3.0482 2022/06/29 14:27:01 - mmengine - INFO - Epoch(train) [2][1520/3757] lr: 1.000e-02 eta: 1 day, 4:55:09 time: 0.240 data_time: 0.025 memory: 6404 grad_norm: 5.7663 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.3850 loss: 3.3850 2022/06/29 14:27:06 - mmengine - INFO - Epoch(train) [2][1540/3757] lr: 1.000e-02 eta: 1 day, 4:54:31 time: 0.240 data_time: 0.005 memory: 6404 grad_norm: 6.5812 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.2414 loss: 3.2414 2022/06/29 14:27:12 - mmengine - INFO - Epoch(train) [2][1560/3757] lr: 1.000e-02 eta: 1 day, 4:54:20 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 6.6711 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3915 loss: 3.3915 2022/06/29 14:27:18 - mmengine - INFO - Epoch(train) [2][1580/3757] lr: 1.000e-02 eta: 1 day, 4:55:06 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 6.1411 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.2502 loss: 3.2502 2022/06/29 14:27:23 - mmengine - INFO - Epoch(train) [2][1600/3757] lr: 1.000e-02 eta: 1 day, 4:54:18 time: 0.245 data_time: 0.016 memory: 6404 grad_norm: 5.9776 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1617 loss: 3.1617 2022/06/29 14:27:28 - mmengine - INFO - Epoch(train) [2][1620/3757] lr: 1.000e-02 eta: 1 day, 4:53:34 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 6.6065 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4813 loss: 3.4813 2022/06/29 14:27:33 - mmengine - INFO - Epoch(train) [2][1640/3757] lr: 1.000e-02 eta: 1 day, 4:52:48 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 6.2846 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8021 loss: 2.8021 2022/06/29 14:27:39 - mmengine - INFO - Epoch(train) [2][1660/3757] lr: 1.000e-02 eta: 1 day, 4:52:46 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.1717 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9980 loss: 2.9980 2022/06/29 14:27:45 - mmengine - INFO - Epoch(train) [2][1680/3757] lr: 1.000e-02 eta: 1 day, 4:53:00 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 6.2194 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1927 loss: 3.1927 2022/06/29 14:27:50 - mmengine - INFO - Epoch(train) [2][1700/3757] lr: 1.000e-02 eta: 1 day, 4:52:57 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 6.3783 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2012 loss: 3.2012 2022/06/29 14:27:55 - mmengine - INFO - Epoch(train) [2][1720/3757] lr: 1.000e-02 eta: 1 day, 4:52:15 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 6.1964 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2930 loss: 3.2930 2022/06/29 14:28:01 - mmengine - INFO - Epoch(train) [2][1740/3757] lr: 1.000e-02 eta: 1 day, 4:52:31 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 5.8364 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 3.2270 loss: 3.2270 2022/06/29 14:28:06 - mmengine - INFO - Epoch(train) [2][1760/3757] lr: 1.000e-02 eta: 1 day, 4:51:50 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.9808 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1256 loss: 3.1256 2022/06/29 14:28:11 - mmengine - INFO - Epoch(train) [2][1780/3757] lr: 1.000e-02 eta: 1 day, 4:51:06 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.9551 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1376 loss: 3.1376 2022/06/29 14:28:17 - mmengine - INFO - Epoch(train) [2][1800/3757] lr: 1.000e-02 eta: 1 day, 4:50:53 time: 0.241 data_time: 0.010 memory: 6404 grad_norm: 5.6538 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2055 loss: 3.2055 2022/06/29 14:28:23 - mmengine - INFO - Epoch(train) [2][1820/3757] lr: 1.000e-02 eta: 1 day, 4:51:10 time: 0.242 data_time: 0.009 memory: 6404 grad_norm: 6.0842 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.6820 loss: 3.6820 2022/06/29 14:28:29 - mmengine - INFO - Epoch(train) [2][1840/3757] lr: 1.000e-02 eta: 1 day, 4:51:37 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 6.4431 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1902 loss: 3.1902 2022/06/29 14:28:34 - mmengine - INFO - Epoch(train) [2][1860/3757] lr: 1.000e-02 eta: 1 day, 4:50:55 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 6.4293 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8182 loss: 2.8182 2022/06/29 14:28:39 - mmengine - INFO - Epoch(train) [2][1880/3757] lr: 1.000e-02 eta: 1 day, 4:50:14 time: 0.251 data_time: 0.063 memory: 6404 grad_norm: 6.4447 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1963 loss: 3.1963 2022/06/29 14:28:44 - mmengine - INFO - Epoch(train) [2][1900/3757] lr: 1.000e-02 eta: 1 day, 4:49:35 time: 0.244 data_time: 0.009 memory: 6404 grad_norm: 6.9514 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0322 loss: 3.0322 2022/06/29 14:28:50 - mmengine - INFO - Epoch(train) [2][1920/3757] lr: 1.000e-02 eta: 1 day, 4:49:07 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 6.9312 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3630 loss: 3.3630 2022/06/29 14:28:55 - mmengine - INFO - Epoch(train) [2][1940/3757] lr: 1.000e-02 eta: 1 day, 4:48:23 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 6.6387 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8195 loss: 2.8195 2022/06/29 14:29:00 - mmengine - INFO - Epoch(train) [2][1960/3757] lr: 1.000e-02 eta: 1 day, 4:47:58 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 6.3978 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1470 loss: 3.1470 2022/06/29 14:29:06 - mmengine - INFO - Epoch(train) [2][1980/3757] lr: 1.000e-02 eta: 1 day, 4:48:10 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 6.1281 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8152 loss: 2.8152 2022/06/29 14:29:11 - mmengine - INFO - Epoch(train) [2][2000/3757] lr: 1.000e-02 eta: 1 day, 4:48:11 time: 0.243 data_time: 0.015 memory: 6404 grad_norm: 6.1288 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.3308 loss: 3.3308 2022/06/29 14:29:17 - mmengine - INFO - Epoch(train) [2][2020/3757] lr: 1.000e-02 eta: 1 day, 4:47:53 time: 0.255 data_time: 0.012 memory: 6404 grad_norm: 6.4427 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.4724 loss: 3.4724 2022/06/29 14:29:23 - mmengine - INFO - Epoch(train) [2][2040/3757] lr: 1.000e-02 eta: 1 day, 4:48:00 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 6.1244 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3652 loss: 3.3652 2022/06/29 14:29:28 - mmengine - INFO - Epoch(train) [2][2060/3757] lr: 1.000e-02 eta: 1 day, 4:47:53 time: 0.253 data_time: 0.015 memory: 6404 grad_norm: 5.7285 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6358 loss: 3.6358 2022/06/29 14:29:33 - mmengine - INFO - Epoch(train) [2][2080/3757] lr: 1.000e-02 eta: 1 day, 4:47:26 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 6.1049 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0669 loss: 3.0669 2022/06/29 14:29:40 - mmengine - INFO - Epoch(train) [2][2100/3757] lr: 1.000e-02 eta: 1 day, 4:47:55 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 5.9930 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2000 loss: 3.2000 2022/06/29 14:29:45 - mmengine - INFO - Epoch(train) [2][2120/3757] lr: 1.000e-02 eta: 1 day, 4:47:33 time: 0.247 data_time: 0.017 memory: 6404 grad_norm: 6.8617 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1495 loss: 3.1495 2022/06/29 14:29:50 - mmengine - INFO - Epoch(train) [2][2140/3757] lr: 1.000e-02 eta: 1 day, 4:46:55 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.2610 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4675 loss: 3.4675 2022/06/29 14:29:56 - mmengine - INFO - Epoch(train) [2][2160/3757] lr: 1.000e-02 eta: 1 day, 4:47:20 time: 0.370 data_time: 0.010 memory: 6404 grad_norm: 6.3352 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0293 loss: 3.0293 2022/06/29 14:30:01 - mmengine - INFO - Epoch(train) [2][2180/3757] lr: 1.000e-02 eta: 1 day, 4:46:49 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 6.2440 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3059 loss: 3.3059 2022/06/29 14:30:07 - mmengine - INFO - Epoch(train) [2][2200/3757] lr: 1.000e-02 eta: 1 day, 4:46:29 time: 0.243 data_time: 0.005 memory: 6404 grad_norm: 6.1026 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9876 loss: 2.9876 2022/06/29 14:30:12 - mmengine - INFO - Epoch(train) [2][2220/3757] lr: 1.000e-02 eta: 1 day, 4:46:12 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 5.9734 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9212 loss: 2.9212 2022/06/29 14:30:18 - mmengine - INFO - Epoch(train) [2][2240/3757] lr: 1.000e-02 eta: 1 day, 4:45:55 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 5.4627 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.4308 loss: 3.4308 2022/06/29 14:30:18 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 14:30:23 - mmengine - INFO - Epoch(train) [2][2260/3757] lr: 1.000e-02 eta: 1 day, 4:45:20 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.2425 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4401 loss: 3.4401 2022/06/29 14:30:28 - mmengine - INFO - Epoch(train) [2][2280/3757] lr: 1.000e-02 eta: 1 day, 4:45:01 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 5.9403 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2830 loss: 3.2830 2022/06/29 14:30:33 - mmengine - INFO - Epoch(train) [2][2300/3757] lr: 1.000e-02 eta: 1 day, 4:44:26 time: 0.242 data_time: 0.011 memory: 6404 grad_norm: 5.7573 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0212 loss: 3.0212 2022/06/29 14:30:39 - mmengine - INFO - Epoch(train) [2][2320/3757] lr: 1.000e-02 eta: 1 day, 4:44:26 time: 0.241 data_time: 0.006 memory: 6404 grad_norm: 6.6844 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2973 loss: 3.2973 2022/06/29 14:30:45 - mmengine - INFO - Epoch(train) [2][2340/3757] lr: 1.000e-02 eta: 1 day, 4:44:41 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 6.0598 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.6855 loss: 3.6855 2022/06/29 14:30:51 - mmengine - INFO - Epoch(train) [2][2360/3757] lr: 1.000e-02 eta: 1 day, 4:44:55 time: 0.236 data_time: 0.017 memory: 6404 grad_norm: 6.1562 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.1084 loss: 3.1084 2022/06/29 14:30:56 - mmengine - INFO - Epoch(train) [2][2380/3757] lr: 1.000e-02 eta: 1 day, 4:44:43 time: 0.450 data_time: 0.006 memory: 6404 grad_norm: 5.9914 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0862 loss: 3.0862 2022/06/29 14:31:02 - mmengine - INFO - Epoch(train) [2][2400/3757] lr: 1.000e-02 eta: 1 day, 4:44:21 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 5.5069 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9029 loss: 2.9029 2022/06/29 14:31:07 - mmengine - INFO - Epoch(train) [2][2420/3757] lr: 1.000e-02 eta: 1 day, 4:43:53 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 6.3732 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8439 loss: 2.8439 2022/06/29 14:31:12 - mmengine - INFO - Epoch(train) [2][2440/3757] lr: 1.000e-02 eta: 1 day, 4:43:42 time: 0.246 data_time: 0.012 memory: 6404 grad_norm: 6.3802 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0169 loss: 3.0169 2022/06/29 14:31:18 - mmengine - INFO - Epoch(train) [2][2460/3757] lr: 1.000e-02 eta: 1 day, 4:43:34 time: 0.244 data_time: 0.005 memory: 6404 grad_norm: 5.6714 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9990 loss: 2.9990 2022/06/29 14:31:23 - mmengine - INFO - Epoch(train) [2][2480/3757] lr: 1.000e-02 eta: 1 day, 4:42:53 time: 0.239 data_time: 0.019 memory: 6404 grad_norm: 6.4742 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9522 loss: 2.9522 2022/06/29 14:31:28 - mmengine - INFO - Epoch(train) [2][2500/3757] lr: 1.000e-02 eta: 1 day, 4:42:39 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.6436 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7280 loss: 2.7280 2022/06/29 14:31:34 - mmengine - INFO - Epoch(train) [2][2520/3757] lr: 1.000e-02 eta: 1 day, 4:42:19 time: 0.243 data_time: 0.006 memory: 6404 grad_norm: 6.7512 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4248 loss: 3.4248 2022/06/29 14:31:40 - mmengine - INFO - Epoch(train) [2][2540/3757] lr: 1.000e-02 eta: 1 day, 4:42:53 time: 0.242 data_time: 0.012 memory: 6404 grad_norm: 5.4993 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3148 loss: 3.3148 2022/06/29 14:31:45 - mmengine - INFO - Epoch(train) [2][2560/3757] lr: 1.000e-02 eta: 1 day, 4:42:21 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 6.0848 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3376 loss: 3.3376 2022/06/29 14:31:51 - mmengine - INFO - Epoch(train) [2][2580/3757] lr: 1.000e-02 eta: 1 day, 4:42:06 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 6.0180 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7649 loss: 2.7649 2022/06/29 14:31:56 - mmengine - INFO - Epoch(train) [2][2600/3757] lr: 1.000e-02 eta: 1 day, 4:41:48 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 6.2192 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4813 loss: 3.4813 2022/06/29 14:32:01 - mmengine - INFO - Epoch(train) [2][2620/3757] lr: 1.000e-02 eta: 1 day, 4:41:32 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 6.2525 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3980 loss: 3.3980 2022/06/29 14:32:07 - mmengine - INFO - Epoch(train) [2][2640/3757] lr: 1.000e-02 eta: 1 day, 4:41:21 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 6.1426 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.0613 loss: 3.0613 2022/06/29 14:32:12 - mmengine - INFO - Epoch(train) [2][2660/3757] lr: 1.000e-02 eta: 1 day, 4:40:54 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.1532 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0210 loss: 3.0210 2022/06/29 14:32:18 - mmengine - INFO - Epoch(train) [2][2680/3757] lr: 1.000e-02 eta: 1 day, 4:41:06 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 5.4998 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0040 loss: 3.0040 2022/06/29 14:32:23 - mmengine - INFO - Epoch(train) [2][2700/3757] lr: 1.000e-02 eta: 1 day, 4:40:54 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 6.8914 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.4570 loss: 3.4570 2022/06/29 14:32:31 - mmengine - INFO - Epoch(train) [2][2720/3757] lr: 1.000e-02 eta: 1 day, 4:42:46 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.7461 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2338 loss: 3.2338 2022/06/29 14:32:36 - mmengine - INFO - Epoch(train) [2][2740/3757] lr: 1.000e-02 eta: 1 day, 4:42:14 time: 0.325 data_time: 0.015 memory: 6404 grad_norm: 6.2206 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.2750 loss: 3.2750 2022/06/29 14:32:41 - mmengine - INFO - Epoch(train) [2][2760/3757] lr: 1.000e-02 eta: 1 day, 4:41:38 time: 0.281 data_time: 0.009 memory: 6404 grad_norm: 6.4855 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0780 loss: 3.0780 2022/06/29 14:32:46 - mmengine - INFO - Epoch(train) [2][2780/3757] lr: 1.000e-02 eta: 1 day, 4:41:05 time: 0.257 data_time: 0.025 memory: 6404 grad_norm: 6.3101 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1025 loss: 3.1025 2022/06/29 14:32:51 - mmengine - INFO - Epoch(train) [2][2800/3757] lr: 1.000e-02 eta: 1 day, 4:40:24 time: 0.241 data_time: 0.007 memory: 6404 grad_norm: 6.3400 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.3688 loss: 3.3688 2022/06/29 14:32:56 - mmengine - INFO - Epoch(train) [2][2820/3757] lr: 1.000e-02 eta: 1 day, 4:39:48 time: 0.273 data_time: 0.007 memory: 6404 grad_norm: 5.9697 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1133 loss: 3.1133 2022/06/29 14:33:02 - mmengine - INFO - Epoch(train) [2][2840/3757] lr: 1.000e-02 eta: 1 day, 4:39:28 time: 0.248 data_time: 0.024 memory: 6404 grad_norm: 5.8960 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9028 loss: 2.9028 2022/06/29 14:33:08 - mmengine - INFO - Epoch(train) [2][2860/3757] lr: 1.000e-02 eta: 1 day, 4:40:22 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 5.9220 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.4590 loss: 3.4590 2022/06/29 14:33:16 - mmengine - INFO - Epoch(train) [2][2880/3757] lr: 1.000e-02 eta: 1 day, 4:41:42 time: 0.250 data_time: 0.005 memory: 6404 grad_norm: 6.3067 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2998 loss: 3.2998 2022/06/29 14:33:21 - mmengine - INFO - Epoch(train) [2][2900/3757] lr: 1.000e-02 eta: 1 day, 4:41:55 time: 0.253 data_time: 0.017 memory: 6404 grad_norm: 6.5711 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2435 loss: 3.2435 2022/06/29 14:33:27 - mmengine - INFO - Epoch(train) [2][2920/3757] lr: 1.000e-02 eta: 1 day, 4:41:19 time: 0.315 data_time: 0.006 memory: 6404 grad_norm: 6.8660 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1473 loss: 3.1473 2022/06/29 14:33:32 - mmengine - INFO - Epoch(train) [2][2940/3757] lr: 1.000e-02 eta: 1 day, 4:41:07 time: 0.260 data_time: 0.006 memory: 6404 grad_norm: 6.2647 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0913 loss: 3.0913 2022/06/29 14:33:38 - mmengine - INFO - Epoch(train) [2][2960/3757] lr: 1.000e-02 eta: 1 day, 4:41:08 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 6.2450 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2649 loss: 3.2649 2022/06/29 14:33:43 - mmengine - INFO - Epoch(train) [2][2980/3757] lr: 1.000e-02 eta: 1 day, 4:40:45 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.8041 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0526 loss: 3.0526 2022/06/29 14:33:50 - mmengine - INFO - Epoch(train) [2][3000/3757] lr: 1.000e-02 eta: 1 day, 4:41:48 time: 0.280 data_time: 0.086 memory: 6404 grad_norm: 6.1679 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4942 loss: 3.4942 2022/06/29 14:33:55 - mmengine - INFO - Epoch(train) [2][3020/3757] lr: 1.000e-02 eta: 1 day, 4:41:11 time: 0.241 data_time: 0.015 memory: 6404 grad_norm: 6.1929 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7402 loss: 2.7402 2022/06/29 14:34:00 - mmengine - INFO - Epoch(train) [2][3040/3757] lr: 1.000e-02 eta: 1 day, 4:40:58 time: 0.549 data_time: 0.006 memory: 6404 grad_norm: 6.2304 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.7575 loss: 2.7575 2022/06/29 14:34:05 - mmengine - INFO - Epoch(train) [2][3060/3757] lr: 1.000e-02 eta: 1 day, 4:40:22 time: 0.241 data_time: 0.011 memory: 6404 grad_norm: 6.2801 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3630 loss: 3.3630 2022/06/29 14:34:11 - mmengine - INFO - Epoch(train) [2][3080/3757] lr: 1.000e-02 eta: 1 day, 4:40:42 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.5856 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8939 loss: 2.8939 2022/06/29 14:34:17 - mmengine - INFO - Epoch(train) [2][3100/3757] lr: 1.000e-02 eta: 1 day, 4:40:10 time: 0.313 data_time: 0.079 memory: 6404 grad_norm: 6.6658 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5457 loss: 3.5457 2022/06/29 14:34:22 - mmengine - INFO - Epoch(train) [2][3120/3757] lr: 1.000e-02 eta: 1 day, 4:39:31 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.6922 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9637 loss: 2.9637 2022/06/29 14:34:27 - mmengine - INFO - Epoch(train) [2][3140/3757] lr: 1.000e-02 eta: 1 day, 4:39:05 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 5.7374 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0978 loss: 3.0978 2022/06/29 14:34:32 - mmengine - INFO - Epoch(train) [2][3160/3757] lr: 1.000e-02 eta: 1 day, 4:38:43 time: 0.315 data_time: 0.011 memory: 6404 grad_norm: 6.4646 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9236 loss: 2.9236 2022/06/29 14:34:38 - mmengine - INFO - Epoch(train) [2][3180/3757] lr: 1.000e-02 eta: 1 day, 4:38:41 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.4914 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7691 loss: 2.7691 2022/06/29 14:34:44 - mmengine - INFO - Epoch(train) [2][3200/3757] lr: 1.000e-02 eta: 1 day, 4:38:48 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 5.9711 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.6553 loss: 3.6553 2022/06/29 14:34:49 - mmengine - INFO - Epoch(train) [2][3220/3757] lr: 1.000e-02 eta: 1 day, 4:38:55 time: 0.260 data_time: 0.014 memory: 6404 grad_norm: 5.8733 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9678 loss: 2.9678 2022/06/29 14:34:55 - mmengine - INFO - Epoch(train) [2][3240/3757] lr: 1.000e-02 eta: 1 day, 4:38:38 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 6.1374 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5534 loss: 3.5534 2022/06/29 14:34:56 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 14:35:00 - mmengine - INFO - Epoch(train) [2][3260/3757] lr: 1.000e-02 eta: 1 day, 4:38:13 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.7116 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.0254 loss: 3.0254 2022/06/29 14:35:10 - mmengine - INFO - Epoch(train) [2][3280/3757] lr: 1.000e-02 eta: 1 day, 4:41:47 time: 0.245 data_time: 0.023 memory: 6404 grad_norm: 5.5218 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2531 loss: 3.2531 2022/06/29 14:35:15 - mmengine - INFO - Epoch(train) [2][3300/3757] lr: 1.000e-02 eta: 1 day, 4:41:09 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 6.3787 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0096 loss: 3.0096 2022/06/29 14:35:20 - mmengine - INFO - Epoch(train) [2][3320/3757] lr: 1.000e-02 eta: 1 day, 4:40:32 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 6.2349 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 3.0003 loss: 3.0003 2022/06/29 14:35:25 - mmengine - INFO - Epoch(train) [2][3340/3757] lr: 1.000e-02 eta: 1 day, 4:39:57 time: 0.255 data_time: 0.063 memory: 6404 grad_norm: 5.8380 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9847 loss: 2.9847 2022/06/29 14:35:30 - mmengine - INFO - Epoch(train) [2][3360/3757] lr: 1.000e-02 eta: 1 day, 4:39:28 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 5.9761 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2587 loss: 3.2587 2022/06/29 14:35:35 - mmengine - INFO - Epoch(train) [2][3380/3757] lr: 1.000e-02 eta: 1 day, 4:38:50 time: 0.239 data_time: 0.006 memory: 6404 grad_norm: 6.5186 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.5186 loss: 2.5186 2022/06/29 14:35:42 - mmengine - INFO - Epoch(train) [2][3400/3757] lr: 1.000e-02 eta: 1 day, 4:39:45 time: 0.247 data_time: 0.033 memory: 6404 grad_norm: 6.3255 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.1777 loss: 3.1777 2022/06/29 14:35:47 - mmengine - INFO - Epoch(train) [2][3420/3757] lr: 1.000e-02 eta: 1 day, 4:39:21 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 6.6456 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8960 loss: 2.8960 2022/06/29 14:35:52 - mmengine - INFO - Epoch(train) [2][3440/3757] lr: 1.000e-02 eta: 1 day, 4:38:46 time: 0.249 data_time: 0.014 memory: 6404 grad_norm: 6.5018 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9523 loss: 2.9523 2022/06/29 14:35:58 - mmengine - INFO - Epoch(train) [2][3460/3757] lr: 1.000e-02 eta: 1 day, 4:38:46 time: 0.249 data_time: 0.018 memory: 6404 grad_norm: 6.2503 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8335 loss: 2.8335 2022/06/29 14:36:03 - mmengine - INFO - Epoch(train) [2][3480/3757] lr: 1.000e-02 eta: 1 day, 4:38:15 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 6.2322 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1068 loss: 3.1068 2022/06/29 14:36:08 - mmengine - INFO - Epoch(train) [2][3500/3757] lr: 1.000e-02 eta: 1 day, 4:37:57 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.6465 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6885 loss: 3.6885 2022/06/29 14:36:14 - mmengine - INFO - Epoch(train) [2][3520/3757] lr: 1.000e-02 eta: 1 day, 4:37:49 time: 0.263 data_time: 0.013 memory: 6404 grad_norm: 6.1935 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0843 loss: 3.0843 2022/06/29 14:36:19 - mmengine - INFO - Epoch(train) [2][3540/3757] lr: 1.000e-02 eta: 1 day, 4:37:49 time: 0.241 data_time: 0.014 memory: 6404 grad_norm: 5.3981 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7965 loss: 2.7965 2022/06/29 14:36:25 - mmengine - INFO - Epoch(train) [2][3560/3757] lr: 1.000e-02 eta: 1 day, 4:37:34 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.8518 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9119 loss: 2.9119 2022/06/29 14:36:30 - mmengine - INFO - Epoch(train) [2][3580/3757] lr: 1.000e-02 eta: 1 day, 4:37:30 time: 0.416 data_time: 0.016 memory: 6404 grad_norm: 6.3774 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.1658 loss: 3.1658 2022/06/29 14:36:36 - mmengine - INFO - Epoch(train) [2][3600/3757] lr: 1.000e-02 eta: 1 day, 4:37:03 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 6.3662 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7340 loss: 2.7340 2022/06/29 14:36:41 - mmengine - INFO - Epoch(train) [2][3620/3757] lr: 1.000e-02 eta: 1 day, 4:36:49 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.9385 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.2059 loss: 3.2059 2022/06/29 14:36:48 - mmengine - INFO - Epoch(train) [2][3640/3757] lr: 1.000e-02 eta: 1 day, 4:38:08 time: 0.282 data_time: 0.006 memory: 6404 grad_norm: 5.8292 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2392 loss: 3.2392 2022/06/29 14:36:53 - mmengine - INFO - Epoch(train) [2][3660/3757] lr: 1.000e-02 eta: 1 day, 4:37:32 time: 0.241 data_time: 0.009 memory: 6404 grad_norm: 5.4485 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0436 loss: 3.0436 2022/06/29 14:36:59 - mmengine - INFO - Epoch(train) [2][3680/3757] lr: 1.000e-02 eta: 1 day, 4:37:13 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 6.1988 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9825 loss: 2.9825 2022/06/29 14:37:04 - mmengine - INFO - Epoch(train) [2][3700/3757] lr: 1.000e-02 eta: 1 day, 4:36:39 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 5.6553 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1504 loss: 3.1504 2022/06/29 14:37:09 - mmengine - INFO - Epoch(train) [2][3720/3757] lr: 1.000e-02 eta: 1 day, 4:36:06 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 6.0657 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2914 loss: 3.2914 2022/06/29 14:37:14 - mmengine - INFO - Epoch(train) [2][3740/3757] lr: 1.000e-02 eta: 1 day, 4:35:28 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.2762 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 3.4251 loss: 3.4251 2022/06/29 14:37:18 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 14:37:24 - mmengine - INFO - Epoch(val) [2][20/310] eta: 0:01:22 time: 0.107 data_time: 0.012 memory: 6404 2022/06/29 14:37:30 - mmengine - INFO - Epoch(val) [2][40/310] eta: 0:01:20 time: 0.091 data_time: 0.006 memory: 1479 2022/06/29 14:37:35 - mmengine - INFO - Epoch(val) [2][60/310] eta: 0:00:35 time: 0.295 data_time: 0.203 memory: 1479 2022/06/29 14:37:41 - mmengine - INFO - Epoch(val) [2][80/310] eta: 0:01:06 time: 0.084 data_time: 0.008 memory: 1479 2022/06/29 14:37:47 - mmengine - INFO - Epoch(val) [2][100/310] eta: 0:01:12 time: 0.931 data_time: 0.854 memory: 1479 2022/06/29 14:37:51 - mmengine - INFO - Epoch(val) [2][120/310] eta: 0:00:35 time: 0.084 data_time: 0.008 memory: 1479 2022/06/29 14:37:58 - mmengine - INFO - Epoch(val) [2][140/310] eta: 0:00:59 time: 0.079 data_time: 0.005 memory: 1479 2022/06/29 14:38:04 - mmengine - INFO - Epoch(val) [2][160/310] eta: 0:00:46 time: 2.263 data_time: 2.180 memory: 1479 2022/06/29 14:38:08 - mmengine - INFO - Epoch(val) [2][180/310] eta: 0:00:42 time: 0.091 data_time: 0.008 memory: 1479 2022/06/29 14:38:14 - mmengine - INFO - Epoch(val) [2][200/310] eta: 0:00:34 time: 0.088 data_time: 0.009 memory: 1479 2022/06/29 14:38:19 - mmengine - INFO - Epoch(val) [2][220/310] eta: 0:00:25 time: 1.730 data_time: 1.648 memory: 1479 2022/06/29 14:38:23 - mmengine - INFO - Epoch(val) [2][240/310] eta: 0:00:21 time: 0.094 data_time: 0.010 memory: 1479 2022/06/29 14:38:30 - mmengine - INFO - Epoch(val) [2][260/310] eta: 0:00:17 time: 0.087 data_time: 0.005 memory: 1479 2022/06/29 14:38:36 - mmengine - INFO - Epoch(val) [2][280/310] eta: 0:00:09 time: 2.234 data_time: 2.149 memory: 1479 2022/06/29 14:38:39 - mmengine - INFO - Epoch(val) [2][300/310] eta: 0:00:02 time: 0.077 data_time: 0.005 memory: 1479 2022/06/29 14:38:41 - mmengine - INFO - Epoch(val) [2][310/310] acc/top1: 0.3669 acc/top5: 0.6575 acc/mean1: 0.3667 2022/06/29 14:38:50 - mmengine - INFO - Epoch(train) [3][20/3757] lr: 1.000e-02 eta: 1 day, 4:36:02 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 6.0747 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0358 loss: 3.0358 2022/06/29 14:38:56 - mmengine - INFO - Epoch(train) [3][40/3757] lr: 1.000e-02 eta: 1 day, 4:36:03 time: 0.238 data_time: 0.009 memory: 6404 grad_norm: 6.0762 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.0462 loss: 3.0462 2022/06/29 14:39:01 - mmengine - INFO - Epoch(train) [3][60/3757] lr: 1.000e-02 eta: 1 day, 4:35:43 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 6.1100 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0722 loss: 3.0722 2022/06/29 14:39:07 - mmengine - INFO - Epoch(train) [3][80/3757] lr: 1.000e-02 eta: 1 day, 4:35:42 time: 0.242 data_time: 0.011 memory: 6404 grad_norm: 6.4456 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5583 loss: 3.5583 2022/06/29 14:39:13 - mmengine - INFO - Epoch(train) [3][100/3757] lr: 1.000e-02 eta: 1 day, 4:35:39 time: 0.241 data_time: 0.008 memory: 6404 grad_norm: 5.9454 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8807 loss: 2.8807 2022/06/29 14:39:18 - mmengine - INFO - Epoch(train) [3][120/3757] lr: 1.000e-02 eta: 1 day, 4:35:37 time: 0.285 data_time: 0.006 memory: 6404 grad_norm: 5.4870 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6241 loss: 2.6241 2022/06/29 14:39:24 - mmengine - INFO - Epoch(train) [3][140/3757] lr: 1.000e-02 eta: 1 day, 4:35:36 time: 0.245 data_time: 0.012 memory: 6404 grad_norm: 6.1636 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0116 loss: 3.0116 2022/06/29 14:39:29 - mmengine - INFO - Epoch(train) [3][160/3757] lr: 1.000e-02 eta: 1 day, 4:35:21 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.5257 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2268 loss: 3.2268 2022/06/29 14:39:34 - mmengine - INFO - Epoch(train) [3][180/3757] lr: 1.000e-02 eta: 1 day, 4:34:53 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 5.7915 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.1143 loss: 3.1143 2022/06/29 14:39:41 - mmengine - INFO - Epoch(train) [3][200/3757] lr: 1.000e-02 eta: 1 day, 4:35:12 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 6.3162 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1305 loss: 3.1305 2022/06/29 14:39:46 - mmengine - INFO - Epoch(train) [3][220/3757] lr: 1.000e-02 eta: 1 day, 4:34:45 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.5323 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7958 loss: 2.7958 2022/06/29 14:39:51 - mmengine - INFO - Epoch(train) [3][240/3757] lr: 1.000e-02 eta: 1 day, 4:34:16 time: 0.244 data_time: 0.013 memory: 6404 grad_norm: 6.3148 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1125 loss: 3.1125 2022/06/29 14:39:56 - mmengine - INFO - Epoch(train) [3][260/3757] lr: 1.000e-02 eta: 1 day, 4:34:08 time: 0.253 data_time: 0.020 memory: 6404 grad_norm: 6.1392 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0235 loss: 3.0235 2022/06/29 14:40:02 - mmengine - INFO - Epoch(train) [3][280/3757] lr: 1.000e-02 eta: 1 day, 4:33:52 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 6.1159 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7721 loss: 2.7721 2022/06/29 14:40:08 - mmengine - INFO - Epoch(train) [3][300/3757] lr: 1.000e-02 eta: 1 day, 4:33:55 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.6680 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.3691 loss: 3.3691 2022/06/29 14:40:13 - mmengine - INFO - Epoch(train) [3][320/3757] lr: 1.000e-02 eta: 1 day, 4:33:41 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 6.2574 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1755 loss: 3.1755 2022/06/29 14:40:18 - mmengine - INFO - Epoch(train) [3][340/3757] lr: 1.000e-02 eta: 1 day, 4:33:18 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 6.5286 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0142 loss: 3.0142 2022/06/29 14:40:24 - mmengine - INFO - Epoch(train) [3][360/3757] lr: 1.000e-02 eta: 1 day, 4:33:01 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.4842 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1063 loss: 3.1063 2022/06/29 14:40:30 - mmengine - INFO - Epoch(train) [3][380/3757] lr: 1.000e-02 eta: 1 day, 4:33:21 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 5.3286 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8820 loss: 2.8820 2022/06/29 14:40:35 - mmengine - INFO - Epoch(train) [3][400/3757] lr: 1.000e-02 eta: 1 day, 4:33:07 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.9292 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7211 loss: 2.7211 2022/06/29 14:40:40 - mmengine - INFO - Epoch(train) [3][420/3757] lr: 1.000e-02 eta: 1 day, 4:32:48 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 6.5891 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9200 loss: 2.9200 2022/06/29 14:40:46 - mmengine - INFO - Epoch(train) [3][440/3757] lr: 1.000e-02 eta: 1 day, 4:32:22 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.8723 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7443 loss: 2.7443 2022/06/29 14:40:51 - mmengine - INFO - Epoch(train) [3][460/3757] lr: 1.000e-02 eta: 1 day, 4:32:25 time: 0.262 data_time: 0.005 memory: 6404 grad_norm: 6.2028 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6969 loss: 2.6969 2022/06/29 14:40:57 - mmengine - INFO - Epoch(train) [3][480/3757] lr: 1.000e-02 eta: 1 day, 4:32:15 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.8264 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2011 loss: 2.2011 2022/06/29 14:40:59 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 14:41:02 - mmengine - INFO - Epoch(train) [3][500/3757] lr: 1.000e-02 eta: 1 day, 4:31:59 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.7931 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8895 loss: 2.8895 2022/06/29 14:41:08 - mmengine - INFO - Epoch(train) [3][520/3757] lr: 1.000e-02 eta: 1 day, 4:31:42 time: 0.260 data_time: 0.006 memory: 6404 grad_norm: 6.3101 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8029 loss: 2.8029 2022/06/29 14:41:13 - mmengine - INFO - Epoch(train) [3][540/3757] lr: 1.000e-02 eta: 1 day, 4:31:16 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.0162 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0885 loss: 3.0885 2022/06/29 14:41:20 - mmengine - INFO - Epoch(train) [3][560/3757] lr: 1.000e-02 eta: 1 day, 4:32:54 time: 0.241 data_time: 0.008 memory: 6404 grad_norm: 5.8905 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0139 loss: 3.0139 2022/06/29 14:41:25 - mmengine - INFO - Epoch(train) [3][580/3757] lr: 1.000e-02 eta: 1 day, 4:32:21 time: 0.275 data_time: 0.011 memory: 6404 grad_norm: 5.9105 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.2874 loss: 3.2874 2022/06/29 14:41:33 - mmengine - INFO - Epoch(train) [3][600/3757] lr: 1.000e-02 eta: 1 day, 4:33:27 time: 0.245 data_time: 0.005 memory: 6404 grad_norm: 6.1592 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5032 loss: 2.5032 2022/06/29 14:41:38 - mmengine - INFO - Epoch(train) [3][620/3757] lr: 1.000e-02 eta: 1 day, 4:33:08 time: 0.249 data_time: 0.018 memory: 6404 grad_norm: 5.8203 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.8000 loss: 2.8000 2022/06/29 14:41:43 - mmengine - INFO - Epoch(train) [3][640/3757] lr: 1.000e-02 eta: 1 day, 4:32:45 time: 0.260 data_time: 0.067 memory: 6404 grad_norm: 5.8364 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5841 loss: 2.5841 2022/06/29 14:41:49 - mmengine - INFO - Epoch(train) [3][660/3757] lr: 1.000e-02 eta: 1 day, 4:32:36 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.1781 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9384 loss: 2.9384 2022/06/29 14:41:54 - mmengine - INFO - Epoch(train) [3][680/3757] lr: 1.000e-02 eta: 1 day, 4:32:13 time: 0.249 data_time: 0.005 memory: 6404 grad_norm: 6.0244 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3514 loss: 3.3514 2022/06/29 14:41:59 - mmengine - INFO - Epoch(train) [3][700/3757] lr: 1.000e-02 eta: 1 day, 4:31:43 time: 0.274 data_time: 0.082 memory: 6404 grad_norm: 6.1463 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2699 loss: 3.2699 2022/06/29 14:42:04 - mmengine - INFO - Epoch(train) [3][720/3757] lr: 1.000e-02 eta: 1 day, 4:31:23 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.3516 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2147 loss: 3.2147 2022/06/29 14:42:10 - mmengine - INFO - Epoch(train) [3][740/3757] lr: 1.000e-02 eta: 1 day, 4:31:17 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 6.4426 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5345 loss: 3.5345 2022/06/29 14:42:15 - mmengine - INFO - Epoch(train) [3][760/3757] lr: 1.000e-02 eta: 1 day, 4:31:06 time: 0.585 data_time: 0.396 memory: 6404 grad_norm: 5.6013 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9132 loss: 2.9132 2022/06/29 14:42:20 - mmengine - INFO - Epoch(train) [3][780/3757] lr: 1.000e-02 eta: 1 day, 4:30:46 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 5.7467 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1048 loss: 3.1048 2022/06/29 14:42:26 - mmengine - INFO - Epoch(train) [3][800/3757] lr: 1.000e-02 eta: 1 day, 4:30:46 time: 0.321 data_time: 0.006 memory: 6404 grad_norm: 6.0704 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9974 loss: 2.9974 2022/06/29 14:42:32 - mmengine - INFO - Epoch(train) [3][820/3757] lr: 1.000e-02 eta: 1 day, 4:30:28 time: 0.373 data_time: 0.192 memory: 6404 grad_norm: 5.7988 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0746 loss: 3.0746 2022/06/29 14:42:37 - mmengine - INFO - Epoch(train) [3][840/3757] lr: 1.000e-02 eta: 1 day, 4:30:06 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 5.8014 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2522 loss: 3.2522 2022/06/29 14:42:42 - mmengine - INFO - Epoch(train) [3][860/3757] lr: 1.000e-02 eta: 1 day, 4:29:55 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 5.7698 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0739 loss: 3.0739 2022/06/29 14:42:48 - mmengine - INFO - Epoch(train) [3][880/3757] lr: 1.000e-02 eta: 1 day, 4:30:04 time: 0.900 data_time: 0.715 memory: 6404 grad_norm: 7.1203 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9049 loss: 2.9049 2022/06/29 14:42:53 - mmengine - INFO - Epoch(train) [3][900/3757] lr: 1.000e-02 eta: 1 day, 4:29:37 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.4524 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9599 loss: 2.9599 2022/06/29 14:42:59 - mmengine - INFO - Epoch(train) [3][920/3757] lr: 1.000e-02 eta: 1 day, 4:29:28 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 5.7280 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8997 loss: 2.8997 2022/06/29 14:43:04 - mmengine - INFO - Epoch(train) [3][940/3757] lr: 1.000e-02 eta: 1 day, 4:29:24 time: 0.626 data_time: 0.444 memory: 6404 grad_norm: 5.8325 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1804 loss: 3.1804 2022/06/29 14:43:10 - mmengine - INFO - Epoch(train) [3][960/3757] lr: 1.000e-02 eta: 1 day, 4:29:12 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 6.9237 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9706 loss: 2.9706 2022/06/29 14:43:15 - mmengine - INFO - Epoch(train) [3][980/3757] lr: 1.000e-02 eta: 1 day, 4:28:58 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.7644 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8417 loss: 2.8417 2022/06/29 14:43:20 - mmengine - INFO - Epoch(train) [3][1000/3757] lr: 1.000e-02 eta: 1 day, 4:28:41 time: 0.239 data_time: 0.042 memory: 6404 grad_norm: 6.6675 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.5709 loss: 3.5709 2022/06/29 14:43:26 - mmengine - INFO - Epoch(train) [3][1020/3757] lr: 1.000e-02 eta: 1 day, 4:28:38 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 5.6682 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8518 loss: 2.8518 2022/06/29 14:43:32 - mmengine - INFO - Epoch(train) [3][1040/3757] lr: 1.000e-02 eta: 1 day, 4:28:39 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 5.8510 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7533 loss: 2.7533 2022/06/29 14:43:37 - mmengine - INFO - Epoch(train) [3][1060/3757] lr: 1.000e-02 eta: 1 day, 4:28:25 time: 0.478 data_time: 0.027 memory: 6404 grad_norm: 5.5366 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4809 loss: 2.4809 2022/06/29 14:43:43 - mmengine - INFO - Epoch(train) [3][1080/3757] lr: 1.000e-02 eta: 1 day, 4:28:05 time: 0.316 data_time: 0.011 memory: 6404 grad_norm: 5.8668 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9525 loss: 2.9525 2022/06/29 14:43:48 - mmengine - INFO - Epoch(train) [3][1100/3757] lr: 1.000e-02 eta: 1 day, 4:27:49 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.7662 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8824 loss: 2.8824 2022/06/29 14:43:54 - mmengine - INFO - Epoch(train) [3][1120/3757] lr: 1.000e-02 eta: 1 day, 4:27:52 time: 0.248 data_time: 0.022 memory: 6404 grad_norm: 5.9862 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0232 loss: 3.0232 2022/06/29 14:43:59 - mmengine - INFO - Epoch(train) [3][1140/3757] lr: 1.000e-02 eta: 1 day, 4:27:55 time: 0.269 data_time: 0.013 memory: 6404 grad_norm: 6.8022 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6610 loss: 2.6610 2022/06/29 14:44:05 - mmengine - INFO - Epoch(train) [3][1160/3757] lr: 1.000e-02 eta: 1 day, 4:27:33 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 5.4173 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9933 loss: 2.9933 2022/06/29 14:44:10 - mmengine - INFO - Epoch(train) [3][1180/3757] lr: 1.000e-02 eta: 1 day, 4:27:22 time: 0.267 data_time: 0.081 memory: 6404 grad_norm: 6.0238 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5409 loss: 3.5409 2022/06/29 14:44:16 - mmengine - INFO - Epoch(train) [3][1200/3757] lr: 1.000e-02 eta: 1 day, 4:27:13 time: 0.270 data_time: 0.006 memory: 6404 grad_norm: 6.7380 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.1174 loss: 3.1174 2022/06/29 14:44:21 - mmengine - INFO - Epoch(train) [3][1220/3757] lr: 1.000e-02 eta: 1 day, 4:27:06 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 5.6882 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7851 loss: 2.7851 2022/06/29 14:44:27 - mmengine - INFO - Epoch(train) [3][1240/3757] lr: 1.000e-02 eta: 1 day, 4:26:54 time: 0.240 data_time: 0.052 memory: 6404 grad_norm: 5.9301 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0198 loss: 3.0198 2022/06/29 14:44:32 - mmengine - INFO - Epoch(train) [3][1260/3757] lr: 1.000e-02 eta: 1 day, 4:26:43 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 5.6901 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5816 loss: 2.5816 2022/06/29 14:44:38 - mmengine - INFO - Epoch(train) [3][1280/3757] lr: 1.000e-02 eta: 1 day, 4:27:12 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.8875 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9398 loss: 2.9398 2022/06/29 14:44:44 - mmengine - INFO - Epoch(train) [3][1300/3757] lr: 1.000e-02 eta: 1 day, 4:26:50 time: 0.247 data_time: 0.013 memory: 6404 grad_norm: 5.9111 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0172 loss: 3.0172 2022/06/29 14:44:49 - mmengine - INFO - Epoch(train) [3][1320/3757] lr: 1.000e-02 eta: 1 day, 4:26:24 time: 0.261 data_time: 0.009 memory: 6404 grad_norm: 5.8978 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0362 loss: 3.0362 2022/06/29 14:44:54 - mmengine - INFO - Epoch(train) [3][1340/3757] lr: 1.000e-02 eta: 1 day, 4:26:03 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 6.2494 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1236 loss: 3.1236 2022/06/29 14:44:59 - mmengine - INFO - Epoch(train) [3][1360/3757] lr: 1.000e-02 eta: 1 day, 4:25:36 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 6.4537 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8723 loss: 2.8723 2022/06/29 14:45:04 - mmengine - INFO - Epoch(train) [3][1380/3757] lr: 1.000e-02 eta: 1 day, 4:25:06 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 6.1691 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9149 loss: 2.9149 2022/06/29 14:45:09 - mmengine - INFO - Epoch(train) [3][1400/3757] lr: 1.000e-02 eta: 1 day, 4:24:46 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.5911 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3760 loss: 3.3760 2022/06/29 14:45:15 - mmengine - INFO - Epoch(train) [3][1420/3757] lr: 1.000e-02 eta: 1 day, 4:24:44 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 5.6991 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4811 loss: 2.4811 2022/06/29 14:45:21 - mmengine - INFO - Epoch(train) [3][1440/3757] lr: 1.000e-02 eta: 1 day, 4:25:06 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 6.3702 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6517 loss: 2.6517 2022/06/29 14:45:27 - mmengine - INFO - Epoch(train) [3][1460/3757] lr: 1.000e-02 eta: 1 day, 4:25:23 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 5.8613 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3248 loss: 3.3248 2022/06/29 14:45:32 - mmengine - INFO - Epoch(train) [3][1480/3757] lr: 1.000e-02 eta: 1 day, 4:24:55 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 6.0521 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8957 loss: 2.8957 2022/06/29 14:45:34 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 14:45:38 - mmengine - INFO - Epoch(train) [3][1500/3757] lr: 1.000e-02 eta: 1 day, 4:25:04 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.5970 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6031 loss: 2.6031 2022/06/29 14:45:43 - mmengine - INFO - Epoch(train) [3][1520/3757] lr: 1.000e-02 eta: 1 day, 4:24:40 time: 0.271 data_time: 0.008 memory: 6404 grad_norm: 6.3183 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4349 loss: 3.4349 2022/06/29 14:45:49 - mmengine - INFO - Epoch(train) [3][1540/3757] lr: 1.000e-02 eta: 1 day, 4:24:35 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 6.3247 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.2373 loss: 3.2373 2022/06/29 14:45:54 - mmengine - INFO - Epoch(train) [3][1560/3757] lr: 1.000e-02 eta: 1 day, 4:24:27 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.7412 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6331 loss: 2.6331 2022/06/29 14:46:00 - mmengine - INFO - Epoch(train) [3][1580/3757] lr: 1.000e-02 eta: 1 day, 4:24:21 time: 0.270 data_time: 0.008 memory: 6404 grad_norm: 6.5492 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6768 loss: 2.6768 2022/06/29 14:46:05 - mmengine - INFO - Epoch(train) [3][1600/3757] lr: 1.000e-02 eta: 1 day, 4:24:04 time: 0.247 data_time: 0.015 memory: 6404 grad_norm: 6.3233 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3214 loss: 3.3214 2022/06/29 14:46:11 - mmengine - INFO - Epoch(train) [3][1620/3757] lr: 1.000e-02 eta: 1 day, 4:23:59 time: 0.241 data_time: 0.008 memory: 6404 grad_norm: 5.9283 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0950 loss: 3.0950 2022/06/29 14:46:16 - mmengine - INFO - Epoch(train) [3][1640/3757] lr: 1.000e-02 eta: 1 day, 4:23:46 time: 0.354 data_time: 0.012 memory: 6404 grad_norm: 5.4665 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.4802 loss: 3.4802 2022/06/29 14:46:21 - mmengine - INFO - Epoch(train) [3][1660/3757] lr: 1.000e-02 eta: 1 day, 4:23:25 time: 0.241 data_time: 0.010 memory: 6404 grad_norm: 5.8961 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.7180 loss: 2.7180 2022/06/29 14:46:27 - mmengine - INFO - Epoch(train) [3][1680/3757] lr: 1.000e-02 eta: 1 day, 4:23:26 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 5.8019 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9632 loss: 2.9632 2022/06/29 14:46:32 - mmengine - INFO - Epoch(train) [3][1700/3757] lr: 1.000e-02 eta: 1 day, 4:22:59 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 6.0581 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1051 loss: 3.1051 2022/06/29 14:46:38 - mmengine - INFO - Epoch(train) [3][1720/3757] lr: 1.000e-02 eta: 1 day, 4:22:58 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 5.7443 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5623 loss: 2.5623 2022/06/29 14:46:43 - mmengine - INFO - Epoch(train) [3][1740/3757] lr: 1.000e-02 eta: 1 day, 4:22:33 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.9496 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3077 loss: 3.3077 2022/06/29 14:46:49 - mmengine - INFO - Epoch(train) [3][1760/3757] lr: 1.000e-02 eta: 1 day, 4:22:36 time: 0.241 data_time: 0.007 memory: 6404 grad_norm: 6.4746 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1749 loss: 3.1749 2022/06/29 14:46:54 - mmengine - INFO - Epoch(train) [3][1780/3757] lr: 1.000e-02 eta: 1 day, 4:22:33 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.7771 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8423 loss: 2.8423 2022/06/29 14:47:00 - mmengine - INFO - Epoch(train) [3][1800/3757] lr: 1.000e-02 eta: 1 day, 4:22:21 time: 0.268 data_time: 0.008 memory: 6404 grad_norm: 5.8186 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3991 loss: 3.3991 2022/06/29 14:47:05 - mmengine - INFO - Epoch(train) [3][1820/3757] lr: 1.000e-02 eta: 1 day, 4:21:53 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.6111 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.0461 loss: 3.0461 2022/06/29 14:47:11 - mmengine - INFO - Epoch(train) [3][1840/3757] lr: 1.000e-02 eta: 1 day, 4:22:14 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.5012 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9354 loss: 2.9354 2022/06/29 14:47:16 - mmengine - INFO - Epoch(train) [3][1860/3757] lr: 1.000e-02 eta: 1 day, 4:21:58 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 5.6277 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6074 loss: 2.6074 2022/06/29 14:47:22 - mmengine - INFO - Epoch(train) [3][1880/3757] lr: 1.000e-02 eta: 1 day, 4:21:42 time: 0.252 data_time: 0.005 memory: 6404 grad_norm: 5.7462 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2157 loss: 3.2157 2022/06/29 14:47:27 - mmengine - INFO - Epoch(train) [3][1900/3757] lr: 1.000e-02 eta: 1 day, 4:21:18 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.7452 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0064 loss: 3.0064 2022/06/29 14:47:32 - mmengine - INFO - Epoch(train) [3][1920/3757] lr: 1.000e-02 eta: 1 day, 4:21:03 time: 0.273 data_time: 0.011 memory: 6404 grad_norm: 6.5312 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1333 loss: 3.1333 2022/06/29 14:47:38 - mmengine - INFO - Epoch(train) [3][1940/3757] lr: 1.000e-02 eta: 1 day, 4:21:01 time: 0.361 data_time: 0.009 memory: 6404 grad_norm: 5.8697 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2252 loss: 3.2252 2022/06/29 14:47:44 - mmengine - INFO - Epoch(train) [3][1960/3757] lr: 1.000e-02 eta: 1 day, 4:20:58 time: 0.248 data_time: 0.013 memory: 6404 grad_norm: 5.9689 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3571 loss: 3.3571 2022/06/29 14:47:49 - mmengine - INFO - Epoch(train) [3][1980/3757] lr: 1.000e-02 eta: 1 day, 4:20:33 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 6.0582 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1945 loss: 3.1945 2022/06/29 14:47:54 - mmengine - INFO - Epoch(train) [3][2000/3757] lr: 1.000e-02 eta: 1 day, 4:20:28 time: 0.237 data_time: 0.013 memory: 6404 grad_norm: 5.9060 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0622 loss: 3.0622 2022/06/29 14:48:00 - mmengine - INFO - Epoch(train) [3][2020/3757] lr: 1.000e-02 eta: 1 day, 4:20:21 time: 0.268 data_time: 0.017 memory: 6404 grad_norm: 6.0002 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8770 loss: 2.8770 2022/06/29 14:48:05 - mmengine - INFO - Epoch(train) [3][2040/3757] lr: 1.000e-02 eta: 1 day, 4:20:09 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 6.0237 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7504 loss: 2.7504 2022/06/29 14:48:11 - mmengine - INFO - Epoch(train) [3][2060/3757] lr: 1.000e-02 eta: 1 day, 4:20:14 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 5.8245 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9792 loss: 2.9792 2022/06/29 14:48:17 - mmengine - INFO - Epoch(train) [3][2080/3757] lr: 1.000e-02 eta: 1 day, 4:20:19 time: 0.268 data_time: 0.010 memory: 6404 grad_norm: 5.6230 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0615 loss: 3.0615 2022/06/29 14:48:22 - mmengine - INFO - Epoch(train) [3][2100/3757] lr: 1.000e-02 eta: 1 day, 4:19:56 time: 0.263 data_time: 0.014 memory: 6404 grad_norm: 6.3890 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0815 loss: 3.0815 2022/06/29 14:48:27 - mmengine - INFO - Epoch(train) [3][2120/3757] lr: 1.000e-02 eta: 1 day, 4:19:30 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 5.3955 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4763 loss: 3.4763 2022/06/29 14:48:33 - mmengine - INFO - Epoch(train) [3][2140/3757] lr: 1.000e-02 eta: 1 day, 4:19:43 time: 0.287 data_time: 0.019 memory: 6404 grad_norm: 5.7434 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0007 loss: 3.0007 2022/06/29 14:48:38 - mmengine - INFO - Epoch(train) [3][2160/3757] lr: 1.000e-02 eta: 1 day, 4:19:29 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.9021 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.6595 loss: 2.6595 2022/06/29 14:48:44 - mmengine - INFO - Epoch(train) [3][2180/3757] lr: 1.000e-02 eta: 1 day, 4:19:13 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.3126 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8823 loss: 2.8823 2022/06/29 14:48:49 - mmengine - INFO - Epoch(train) [3][2200/3757] lr: 1.000e-02 eta: 1 day, 4:18:57 time: 0.242 data_time: 0.019 memory: 6404 grad_norm: 5.4719 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8660 loss: 2.8660 2022/06/29 14:48:55 - mmengine - INFO - Epoch(train) [3][2220/3757] lr: 1.000e-02 eta: 1 day, 4:18:59 time: 0.401 data_time: 0.012 memory: 6404 grad_norm: 6.9311 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.8990 loss: 2.8990 2022/06/29 14:49:00 - mmengine - INFO - Epoch(train) [3][2240/3757] lr: 1.000e-02 eta: 1 day, 4:18:47 time: 0.292 data_time: 0.009 memory: 6404 grad_norm: 6.0195 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1771 loss: 3.1771 2022/06/29 14:49:06 - mmengine - INFO - Epoch(train) [3][2260/3757] lr: 1.000e-02 eta: 1 day, 4:18:40 time: 0.246 data_time: 0.016 memory: 6404 grad_norm: 5.6364 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3488 loss: 3.3488 2022/06/29 14:49:11 - mmengine - INFO - Epoch(train) [3][2280/3757] lr: 1.000e-02 eta: 1 day, 4:18:19 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 5.9280 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6603 loss: 2.6603 2022/06/29 14:49:17 - mmengine - INFO - Epoch(train) [3][2300/3757] lr: 1.000e-02 eta: 1 day, 4:18:23 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 5.7403 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8624 loss: 2.8624 2022/06/29 14:49:23 - mmengine - INFO - Epoch(train) [3][2320/3757] lr: 1.000e-02 eta: 1 day, 4:18:39 time: 0.248 data_time: 0.018 memory: 6404 grad_norm: 5.1924 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.9685 loss: 2.9685 2022/06/29 14:49:28 - mmengine - INFO - Epoch(train) [3][2340/3757] lr: 1.000e-02 eta: 1 day, 4:18:12 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.6862 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9171 loss: 2.9171 2022/06/29 14:49:33 - mmengine - INFO - Epoch(train) [3][2360/3757] lr: 1.000e-02 eta: 1 day, 4:17:46 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.9421 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6943 loss: 2.6943 2022/06/29 14:49:38 - mmengine - INFO - Epoch(train) [3][2380/3757] lr: 1.000e-02 eta: 1 day, 4:17:27 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.0792 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.7641 loss: 2.7641 2022/06/29 14:49:45 - mmengine - INFO - Epoch(train) [3][2400/3757] lr: 1.000e-02 eta: 1 day, 4:18:16 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 5.6577 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.0998 loss: 3.0998 2022/06/29 14:49:50 - mmengine - INFO - Epoch(train) [3][2420/3757] lr: 1.000e-02 eta: 1 day, 4:17:55 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 6.4620 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1437 loss: 3.1437 2022/06/29 14:49:55 - mmengine - INFO - Epoch(train) [3][2440/3757] lr: 1.000e-02 eta: 1 day, 4:17:31 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 6.0771 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7858 loss: 2.7858 2022/06/29 14:50:00 - mmengine - INFO - Epoch(train) [3][2460/3757] lr: 1.000e-02 eta: 1 day, 4:17:05 time: 0.241 data_time: 0.007 memory: 6404 grad_norm: 6.5160 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1253 loss: 3.1253 2022/06/29 14:50:05 - mmengine - INFO - Epoch(train) [3][2480/3757] lr: 1.000e-02 eta: 1 day, 4:16:37 time: 0.245 data_time: 0.016 memory: 6404 grad_norm: 6.2043 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8629 loss: 2.8629 2022/06/29 14:50:07 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 14:50:11 - mmengine - INFO - Epoch(train) [3][2500/3757] lr: 1.000e-02 eta: 1 day, 4:16:36 time: 0.245 data_time: 0.017 memory: 6404 grad_norm: 6.2237 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8187 loss: 2.8187 2022/06/29 14:50:16 - mmengine - INFO - Epoch(train) [3][2520/3757] lr: 1.000e-02 eta: 1 day, 4:16:23 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 5.9439 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6266 loss: 3.6266 2022/06/29 14:50:22 - mmengine - INFO - Epoch(train) [3][2540/3757] lr: 1.000e-02 eta: 1 day, 4:16:19 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 5.4018 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0930 loss: 3.0930 2022/06/29 14:50:27 - mmengine - INFO - Epoch(train) [3][2560/3757] lr: 1.000e-02 eta: 1 day, 4:16:00 time: 0.249 data_time: 0.014 memory: 6404 grad_norm: 6.1151 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9225 loss: 2.9225 2022/06/29 14:50:33 - mmengine - INFO - Epoch(train) [3][2580/3757] lr: 1.000e-02 eta: 1 day, 4:15:59 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.6975 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8354 loss: 2.8354 2022/06/29 14:50:38 - mmengine - INFO - Epoch(train) [3][2600/3757] lr: 1.000e-02 eta: 1 day, 4:15:54 time: 0.351 data_time: 0.011 memory: 6404 grad_norm: 6.5123 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7676 loss: 2.7676 2022/06/29 14:50:44 - mmengine - INFO - Epoch(train) [3][2620/3757] lr: 1.000e-02 eta: 1 day, 4:15:42 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 6.1642 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4980 loss: 2.4980 2022/06/29 14:50:49 - mmengine - INFO - Epoch(train) [3][2640/3757] lr: 1.000e-02 eta: 1 day, 4:15:38 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 5.7751 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3365 loss: 3.3365 2022/06/29 14:50:55 - mmengine - INFO - Epoch(train) [3][2660/3757] lr: 1.000e-02 eta: 1 day, 4:15:36 time: 0.245 data_time: 0.013 memory: 6404 grad_norm: 5.6862 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8133 loss: 2.8133 2022/06/29 14:51:01 - mmengine - INFO - Epoch(train) [3][2680/3757] lr: 1.000e-02 eta: 1 day, 4:15:28 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 5.9824 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8947 loss: 2.8947 2022/06/29 14:51:06 - mmengine - INFO - Epoch(train) [3][2700/3757] lr: 1.000e-02 eta: 1 day, 4:15:14 time: 0.240 data_time: 0.008 memory: 6404 grad_norm: 5.8223 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9739 loss: 2.9739 2022/06/29 14:51:11 - mmengine - INFO - Epoch(train) [3][2720/3757] lr: 1.000e-02 eta: 1 day, 4:14:59 time: 0.255 data_time: 0.018 memory: 6404 grad_norm: 6.1648 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8024 loss: 2.8024 2022/06/29 14:51:16 - mmengine - INFO - Epoch(train) [3][2740/3757] lr: 1.000e-02 eta: 1 day, 4:14:42 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.2597 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9686 loss: 2.9686 2022/06/29 14:51:22 - mmengine - INFO - Epoch(train) [3][2760/3757] lr: 1.000e-02 eta: 1 day, 4:14:31 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 6.0563 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6943 loss: 2.6943 2022/06/29 14:51:27 - mmengine - INFO - Epoch(train) [3][2780/3757] lr: 1.000e-02 eta: 1 day, 4:14:17 time: 0.258 data_time: 0.025 memory: 6404 grad_norm: 6.1894 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7355 loss: 2.7355 2022/06/29 14:51:35 - mmengine - INFO - Epoch(train) [3][2800/3757] lr: 1.000e-02 eta: 1 day, 4:15:25 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 6.0659 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8585 loss: 2.8585 2022/06/29 14:51:40 - mmengine - INFO - Epoch(train) [3][2820/3757] lr: 1.000e-02 eta: 1 day, 4:15:01 time: 0.241 data_time: 0.005 memory: 6404 grad_norm: 6.3137 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5732 loss: 2.5732 2022/06/29 14:51:45 - mmengine - INFO - Epoch(train) [3][2840/3757] lr: 1.000e-02 eta: 1 day, 4:14:38 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 6.0345 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.5316 loss: 2.5316 2022/06/29 14:51:50 - mmengine - INFO - Epoch(train) [3][2860/3757] lr: 1.000e-02 eta: 1 day, 4:14:29 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 5.7433 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9090 loss: 2.9090 2022/06/29 14:51:56 - mmengine - INFO - Epoch(train) [3][2880/3757] lr: 1.000e-02 eta: 1 day, 4:14:07 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 5.9320 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7645 loss: 2.7645 2022/06/29 14:52:01 - mmengine - INFO - Epoch(train) [3][2900/3757] lr: 1.000e-02 eta: 1 day, 4:14:08 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.6352 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7895 loss: 2.7895 2022/06/29 14:52:07 - mmengine - INFO - Epoch(train) [3][2920/3757] lr: 1.000e-02 eta: 1 day, 4:13:50 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.2027 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4171 loss: 3.4171 2022/06/29 14:52:12 - mmengine - INFO - Epoch(train) [3][2940/3757] lr: 1.000e-02 eta: 1 day, 4:13:28 time: 0.335 data_time: 0.007 memory: 6404 grad_norm: 5.7437 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5396 loss: 2.5396 2022/06/29 14:52:18 - mmengine - INFO - Epoch(train) [3][2960/3757] lr: 1.000e-02 eta: 1 day, 4:13:52 time: 0.269 data_time: 0.008 memory: 6404 grad_norm: 6.4990 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6624 loss: 2.6624 2022/06/29 14:52:23 - mmengine - INFO - Epoch(train) [3][2980/3757] lr: 1.000e-02 eta: 1 day, 4:13:37 time: 0.269 data_time: 0.009 memory: 6404 grad_norm: 5.4779 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9621 loss: 2.9621 2022/06/29 14:52:29 - mmengine - INFO - Epoch(train) [3][3000/3757] lr: 1.000e-02 eta: 1 day, 4:13:18 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.8240 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9343 loss: 2.9343 2022/06/29 14:52:34 - mmengine - INFO - Epoch(train) [3][3020/3757] lr: 1.000e-02 eta: 1 day, 4:13:14 time: 0.243 data_time: 0.009 memory: 6404 grad_norm: 6.0218 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4869 loss: 2.4869 2022/06/29 14:52:40 - mmengine - INFO - Epoch(train) [3][3040/3757] lr: 1.000e-02 eta: 1 day, 4:13:15 time: 0.255 data_time: 0.034 memory: 6404 grad_norm: 6.2258 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6817 loss: 2.6817 2022/06/29 14:52:45 - mmengine - INFO - Epoch(train) [3][3060/3757] lr: 1.000e-02 eta: 1 day, 4:12:50 time: 0.249 data_time: 0.014 memory: 6404 grad_norm: 5.8378 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1273 loss: 3.1273 2022/06/29 14:52:50 - mmengine - INFO - Epoch(train) [3][3080/3757] lr: 1.000e-02 eta: 1 day, 4:12:40 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.8147 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8972 loss: 2.8972 2022/06/29 14:52:56 - mmengine - INFO - Epoch(train) [3][3100/3757] lr: 1.000e-02 eta: 1 day, 4:12:35 time: 0.253 data_time: 0.019 memory: 6404 grad_norm: 6.0471 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9011 loss: 2.9011 2022/06/29 14:53:01 - mmengine - INFO - Epoch(train) [3][3120/3757] lr: 1.000e-02 eta: 1 day, 4:12:17 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 5.8497 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1230 loss: 3.1230 2022/06/29 14:53:06 - mmengine - INFO - Epoch(train) [3][3140/3757] lr: 1.000e-02 eta: 1 day, 4:11:57 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 6.8810 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0554 loss: 3.0554 2022/06/29 14:53:12 - mmengine - INFO - Epoch(train) [3][3160/3757] lr: 1.000e-02 eta: 1 day, 4:11:47 time: 0.241 data_time: 0.014 memory: 6404 grad_norm: 6.2628 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1196 loss: 3.1196 2022/06/29 14:53:17 - mmengine - INFO - Epoch(train) [3][3180/3757] lr: 1.000e-02 eta: 1 day, 4:11:39 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.6138 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2595 loss: 3.2595 2022/06/29 14:53:23 - mmengine - INFO - Epoch(train) [3][3200/3757] lr: 1.000e-02 eta: 1 day, 4:11:33 time: 0.243 data_time: 0.009 memory: 6404 grad_norm: 5.8793 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0230 loss: 3.0230 2022/06/29 14:53:32 - mmengine - INFO - Epoch(train) [3][3220/3757] lr: 1.000e-02 eta: 1 day, 4:13:34 time: 0.235 data_time: 0.006 memory: 6404 grad_norm: 6.0933 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8412 loss: 2.8412 2022/06/29 14:53:37 - mmengine - INFO - Epoch(train) [3][3240/3757] lr: 1.000e-02 eta: 1 day, 4:13:17 time: 0.241 data_time: 0.022 memory: 6404 grad_norm: 6.2370 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9271 loss: 2.9271 2022/06/29 14:53:42 - mmengine - INFO - Epoch(train) [3][3260/3757] lr: 1.000e-02 eta: 1 day, 4:12:53 time: 0.272 data_time: 0.008 memory: 6404 grad_norm: 5.6512 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6952 loss: 2.6952 2022/06/29 14:53:47 - mmengine - INFO - Epoch(train) [3][3280/3757] lr: 1.000e-02 eta: 1 day, 4:12:30 time: 0.240 data_time: 0.020 memory: 6404 grad_norm: 6.1009 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7696 loss: 2.7696 2022/06/29 14:53:52 - mmengine - INFO - Epoch(train) [3][3300/3757] lr: 1.000e-02 eta: 1 day, 4:12:12 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 6.2045 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8147 loss: 2.8147 2022/06/29 14:53:58 - mmengine - INFO - Epoch(train) [3][3320/3757] lr: 1.000e-02 eta: 1 day, 4:11:54 time: 0.340 data_time: 0.011 memory: 6404 grad_norm: 6.2050 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9706 loss: 2.9706 2022/06/29 14:54:04 - mmengine - INFO - Epoch(train) [3][3340/3757] lr: 1.000e-02 eta: 1 day, 4:12:23 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 6.2691 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7891 loss: 2.7891 2022/06/29 14:54:09 - mmengine - INFO - Epoch(train) [3][3360/3757] lr: 1.000e-02 eta: 1 day, 4:12:01 time: 0.244 data_time: 0.005 memory: 6404 grad_norm: 5.6191 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6398 loss: 2.6398 2022/06/29 14:54:14 - mmengine - INFO - Epoch(train) [3][3380/3757] lr: 1.000e-02 eta: 1 day, 4:11:35 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 6.1109 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6629 loss: 2.6629 2022/06/29 14:54:19 - mmengine - INFO - Epoch(train) [3][3400/3757] lr: 1.000e-02 eta: 1 day, 4:11:12 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 5.7925 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1629 loss: 3.1629 2022/06/29 14:54:24 - mmengine - INFO - Epoch(train) [3][3420/3757] lr: 1.000e-02 eta: 1 day, 4:10:48 time: 0.239 data_time: 0.015 memory: 6404 grad_norm: 5.7340 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0286 loss: 3.0286 2022/06/29 14:54:31 - mmengine - INFO - Epoch(train) [3][3440/3757] lr: 1.000e-02 eta: 1 day, 4:11:01 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.5994 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5723 loss: 2.5723 2022/06/29 14:54:36 - mmengine - INFO - Epoch(train) [3][3460/3757] lr: 1.000e-02 eta: 1 day, 4:10:42 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.2449 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6650 loss: 2.6650 2022/06/29 14:54:41 - mmengine - INFO - Epoch(train) [3][3480/3757] lr: 1.000e-02 eta: 1 day, 4:10:23 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.3500 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8940 loss: 2.8940 2022/06/29 14:54:43 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 14:54:47 - mmengine - INFO - Epoch(train) [3][3500/3757] lr: 1.000e-02 eta: 1 day, 4:10:25 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 5.9499 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7961 loss: 2.7961 2022/06/29 14:54:52 - mmengine - INFO - Epoch(train) [3][3520/3757] lr: 1.000e-02 eta: 1 day, 4:10:25 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 6.5456 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0441 loss: 3.0441 2022/06/29 14:54:58 - mmengine - INFO - Epoch(train) [3][3540/3757] lr: 1.000e-02 eta: 1 day, 4:10:26 time: 0.244 data_time: 0.012 memory: 6404 grad_norm: 6.2351 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8117 loss: 2.8117 2022/06/29 14:55:04 - mmengine - INFO - Epoch(train) [3][3560/3757] lr: 1.000e-02 eta: 1 day, 4:10:24 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.9415 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2163 loss: 3.2163 2022/06/29 14:55:09 - mmengine - INFO - Epoch(train) [3][3580/3757] lr: 1.000e-02 eta: 1 day, 4:10:21 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 5.7140 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0901 loss: 3.0901 2022/06/29 14:55:14 - mmengine - INFO - Epoch(train) [3][3600/3757] lr: 1.000e-02 eta: 1 day, 4:10:00 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.7939 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9484 loss: 2.9484 2022/06/29 14:55:20 - mmengine - INFO - Epoch(train) [3][3620/3757] lr: 1.000e-02 eta: 1 day, 4:09:58 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.5192 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4575 loss: 2.4575 2022/06/29 14:55:26 - mmengine - INFO - Epoch(train) [3][3640/3757] lr: 1.000e-02 eta: 1 day, 4:09:50 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 6.4847 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8246 loss: 2.8246 2022/06/29 14:55:31 - mmengine - INFO - Epoch(train) [3][3660/3757] lr: 1.000e-02 eta: 1 day, 4:09:34 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 6.4670 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8513 loss: 2.8513 2022/06/29 14:55:37 - mmengine - INFO - Epoch(train) [3][3680/3757] lr: 1.000e-02 eta: 1 day, 4:09:38 time: 0.267 data_time: 0.009 memory: 6404 grad_norm: 5.9162 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.7633 loss: 2.7633 2022/06/29 14:55:42 - mmengine - INFO - Epoch(train) [3][3700/3757] lr: 1.000e-02 eta: 1 day, 4:09:27 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.6421 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7912 loss: 2.7912 2022/06/29 14:55:47 - mmengine - INFO - Epoch(train) [3][3720/3757] lr: 1.000e-02 eta: 1 day, 4:09:11 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.2476 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 2.9116 loss: 2.9116 2022/06/29 14:55:53 - mmengine - INFO - Epoch(train) [3][3740/3757] lr: 1.000e-02 eta: 1 day, 4:09:01 time: 0.285 data_time: 0.008 memory: 6404 grad_norm: 5.1818 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5747 loss: 2.5747 2022/06/29 14:55:57 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 14:56:04 - mmengine - INFO - Epoch(val) [3][20/310] eta: 0:01:26 time: 0.115 data_time: 0.023 memory: 6404 2022/06/29 14:56:10 - mmengine - INFO - Epoch(val) [3][40/310] eta: 0:01:18 time: 0.193 data_time: 0.117 memory: 1479 2022/06/29 14:56:14 - mmengine - INFO - Epoch(val) [3][60/310] eta: 0:00:27 time: 0.088 data_time: 0.012 memory: 1479 2022/06/29 14:56:20 - mmengine - INFO - Epoch(val) [3][80/310] eta: 0:01:06 time: 0.102 data_time: 0.005 memory: 1479 2022/06/29 14:56:26 - mmengine - INFO - Epoch(val) [3][100/310] eta: 0:01:03 time: 0.603 data_time: 0.516 memory: 1479 2022/06/29 14:56:29 - mmengine - INFO - Epoch(val) [3][120/310] eta: 0:00:26 time: 0.090 data_time: 0.013 memory: 1479 2022/06/29 14:56:36 - mmengine - INFO - Epoch(val) [3][140/310] eta: 0:00:56 time: 0.103 data_time: 0.007 memory: 1479 2022/06/29 14:56:42 - mmengine - INFO - Epoch(val) [3][160/310] eta: 0:00:48 time: 0.975 data_time: 0.891 memory: 1479 2022/06/29 14:56:46 - mmengine - INFO - Epoch(val) [3][180/310] eta: 0:00:16 time: 0.078 data_time: 0.005 memory: 1479 2022/06/29 14:56:52 - mmengine - INFO - Epoch(val) [3][200/310] eta: 0:00:32 time: 0.093 data_time: 0.009 memory: 1479 2022/06/29 14:56:57 - mmengine - INFO - Epoch(val) [3][220/310] eta: 0:00:29 time: 0.089 data_time: 0.010 memory: 1479 2022/06/29 14:57:01 - mmengine - INFO - Epoch(val) [3][240/310] eta: 0:00:11 time: 0.087 data_time: 0.007 memory: 1479 2022/06/29 14:57:07 - mmengine - INFO - Epoch(val) [3][260/310] eta: 0:00:14 time: 0.086 data_time: 0.009 memory: 1479 2022/06/29 14:57:13 - mmengine - INFO - Epoch(val) [3][280/310] eta: 0:00:09 time: 0.087 data_time: 0.008 memory: 1479 2022/06/29 14:57:16 - mmengine - INFO - Epoch(val) [3][300/310] eta: 0:00:01 time: 0.094 data_time: 0.005 memory: 1479 2022/06/29 14:57:20 - mmengine - INFO - Epoch(val) [3][310/310] acc/top1: 0.4097 acc/top5: 0.6931 acc/mean1: 0.4095 2022/06/29 14:57:29 - mmengine - INFO - Epoch(train) [4][20/3757] lr: 1.000e-02 eta: 1 day, 4:09:14 time: 0.242 data_time: 0.008 memory: 6404 grad_norm: 5.5547 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.6119 loss: 2.6119 2022/06/29 14:57:35 - mmengine - INFO - Epoch(train) [4][40/3757] lr: 1.000e-02 eta: 1 day, 4:09:20 time: 0.233 data_time: 0.005 memory: 6404 grad_norm: 5.9631 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7857 loss: 2.7857 2022/06/29 14:57:40 - mmengine - INFO - Epoch(train) [4][60/3757] lr: 1.000e-02 eta: 1 day, 4:09:06 time: 0.246 data_time: 0.005 memory: 6404 grad_norm: 5.7594 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0148 loss: 3.0148 2022/06/29 14:57:46 - mmengine - INFO - Epoch(train) [4][80/3757] lr: 1.000e-02 eta: 1 day, 4:09:06 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.8151 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8593 loss: 2.8593 2022/06/29 14:57:53 - mmengine - INFO - Epoch(train) [4][100/3757] lr: 1.000e-02 eta: 1 day, 4:09:47 time: 1.776 data_time: 0.007 memory: 6404 grad_norm: 5.5546 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5830 loss: 2.5830 2022/06/29 14:57:58 - mmengine - INFO - Epoch(train) [4][120/3757] lr: 1.000e-02 eta: 1 day, 4:09:23 time: 0.252 data_time: 0.005 memory: 6404 grad_norm: 5.1202 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5728 loss: 2.5728 2022/06/29 14:58:05 - mmengine - INFO - Epoch(train) [4][140/3757] lr: 1.000e-02 eta: 1 day, 4:10:06 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 6.1780 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9866 loss: 2.9866 2022/06/29 14:58:11 - mmengine - INFO - Epoch(train) [4][160/3757] lr: 1.000e-02 eta: 1 day, 4:09:48 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 6.0734 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7812 loss: 2.7812 2022/06/29 14:58:16 - mmengine - INFO - Epoch(train) [4][180/3757] lr: 1.000e-02 eta: 1 day, 4:09:24 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 5.7231 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4482 loss: 2.4482 2022/06/29 14:58:21 - mmengine - INFO - Epoch(train) [4][200/3757] lr: 1.000e-02 eta: 1 day, 4:09:01 time: 0.243 data_time: 0.009 memory: 6404 grad_norm: 6.2446 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.8963 loss: 2.8963 2022/06/29 14:58:25 - mmengine - INFO - Epoch(train) [4][220/3757] lr: 1.000e-02 eta: 1 day, 4:08:37 time: 0.254 data_time: 0.057 memory: 6404 grad_norm: 5.8617 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1407 loss: 3.1407 2022/06/29 14:58:31 - mmengine - INFO - Epoch(train) [4][240/3757] lr: 1.000e-02 eta: 1 day, 4:08:18 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 5.5236 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6543 loss: 2.6543 2022/06/29 14:58:37 - mmengine - INFO - Epoch(train) [4][260/3757] lr: 1.000e-02 eta: 1 day, 4:08:38 time: 1.298 data_time: 0.006 memory: 6404 grad_norm: 6.5584 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7969 loss: 2.7969 2022/06/29 14:58:43 - mmengine - INFO - Epoch(train) [4][280/3757] lr: 1.000e-02 eta: 1 day, 4:08:36 time: 0.246 data_time: 0.048 memory: 6404 grad_norm: 5.8156 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8924 loss: 2.8924 2022/06/29 14:58:48 - mmengine - INFO - Epoch(train) [4][300/3757] lr: 1.000e-02 eta: 1 day, 4:08:18 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.7479 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2091 loss: 3.2091 2022/06/29 14:58:54 - mmengine - INFO - Epoch(train) [4][320/3757] lr: 1.000e-02 eta: 1 day, 4:08:16 time: 0.650 data_time: 0.005 memory: 6404 grad_norm: 6.1576 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2211 loss: 3.2211 2022/06/29 14:58:59 - mmengine - INFO - Epoch(train) [4][340/3757] lr: 1.000e-02 eta: 1 day, 4:08:10 time: 0.255 data_time: 0.053 memory: 6404 grad_norm: 5.8910 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9785 loss: 2.9785 2022/06/29 14:59:04 - mmengine - INFO - Epoch(train) [4][360/3757] lr: 1.000e-02 eta: 1 day, 4:07:46 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 5.8005 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6950 loss: 2.6950 2022/06/29 14:59:10 - mmengine - INFO - Epoch(train) [4][380/3757] lr: 1.000e-02 eta: 1 day, 4:07:36 time: 0.437 data_time: 0.006 memory: 6404 grad_norm: 5.6055 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7880 loss: 2.7880 2022/06/29 14:59:15 - mmengine - INFO - Epoch(train) [4][400/3757] lr: 1.000e-02 eta: 1 day, 4:07:15 time: 0.242 data_time: 0.039 memory: 6404 grad_norm: 5.9581 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4671 loss: 2.4671 2022/06/29 14:59:20 - mmengine - INFO - Epoch(train) [4][420/3757] lr: 1.000e-02 eta: 1 day, 4:07:17 time: 0.243 data_time: 0.006 memory: 6404 grad_norm: 5.1123 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9486 loss: 2.9486 2022/06/29 14:59:26 - mmengine - INFO - Epoch(train) [4][440/3757] lr: 1.000e-02 eta: 1 day, 4:07:17 time: 0.467 data_time: 0.006 memory: 6404 grad_norm: 5.4625 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1281 loss: 3.1281 2022/06/29 14:59:32 - mmengine - INFO - Epoch(train) [4][460/3757] lr: 1.000e-02 eta: 1 day, 4:07:14 time: 0.243 data_time: 0.033 memory: 6404 grad_norm: 5.9811 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6328 loss: 2.6328 2022/06/29 14:59:38 - mmengine - INFO - Epoch(train) [4][480/3757] lr: 1.000e-02 eta: 1 day, 4:07:19 time: 0.243 data_time: 0.006 memory: 6404 grad_norm: 6.1892 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5500 loss: 2.5500 2022/06/29 14:59:43 - mmengine - INFO - Epoch(train) [4][500/3757] lr: 1.000e-02 eta: 1 day, 4:07:03 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 5.8016 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7873 loss: 2.7873 2022/06/29 14:59:48 - mmengine - INFO - Epoch(train) [4][520/3757] lr: 1.000e-02 eta: 1 day, 4:06:54 time: 0.238 data_time: 0.006 memory: 6404 grad_norm: 6.3768 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0526 loss: 3.0526 2022/06/29 14:59:54 - mmengine - INFO - Epoch(train) [4][540/3757] lr: 1.000e-02 eta: 1 day, 4:06:53 time: 0.244 data_time: 0.005 memory: 6404 grad_norm: 5.7119 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8900 loss: 2.8900 2022/06/29 14:59:59 - mmengine - INFO - Epoch(train) [4][560/3757] lr: 1.000e-02 eta: 1 day, 4:06:39 time: 0.260 data_time: 0.006 memory: 6404 grad_norm: 5.8549 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9196 loss: 2.9196 2022/06/29 15:00:06 - mmengine - INFO - Epoch(train) [4][580/3757] lr: 1.000e-02 eta: 1 day, 4:06:56 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.2492 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8618 loss: 2.8618 2022/06/29 15:00:11 - mmengine - INFO - Epoch(train) [4][600/3757] lr: 1.000e-02 eta: 1 day, 4:06:51 time: 0.266 data_time: 0.009 memory: 6404 grad_norm: 6.0027 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6118 loss: 2.6118 2022/06/29 15:00:16 - mmengine - INFO - Epoch(train) [4][620/3757] lr: 1.000e-02 eta: 1 day, 4:06:31 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 6.0130 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0738 loss: 3.0738 2022/06/29 15:00:21 - mmengine - INFO - Epoch(train) [4][640/3757] lr: 1.000e-02 eta: 1 day, 4:06:13 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 6.2042 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1380 loss: 3.1380 2022/06/29 15:00:27 - mmengine - INFO - Epoch(train) [4][660/3757] lr: 1.000e-02 eta: 1 day, 4:06:05 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.8183 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1368 loss: 3.1368 2022/06/29 15:00:33 - mmengine - INFO - Epoch(train) [4][680/3757] lr: 1.000e-02 eta: 1 day, 4:06:01 time: 0.246 data_time: 0.012 memory: 6404 grad_norm: 5.8838 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6777 loss: 2.6777 2022/06/29 15:00:38 - mmengine - INFO - Epoch(train) [4][700/3757] lr: 1.000e-02 eta: 1 day, 4:05:50 time: 0.246 data_time: 0.013 memory: 6404 grad_norm: 6.3276 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.0612 loss: 3.0612 2022/06/29 15:00:43 - mmengine - INFO - Epoch(train) [4][720/3757] lr: 1.000e-02 eta: 1 day, 4:05:36 time: 0.246 data_time: 0.015 memory: 6404 grad_norm: 6.5764 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5203 loss: 2.5203 2022/06/29 15:00:46 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 15:00:49 - mmengine - INFO - Epoch(train) [4][740/3757] lr: 1.000e-02 eta: 1 day, 4:05:25 time: 0.239 data_time: 0.020 memory: 6404 grad_norm: 5.6729 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4556 loss: 2.4556 2022/06/29 15:00:54 - mmengine - INFO - Epoch(train) [4][760/3757] lr: 1.000e-02 eta: 1 day, 4:05:22 time: 0.265 data_time: 0.023 memory: 6404 grad_norm: 5.4165 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7226 loss: 2.7226 2022/06/29 15:01:00 - mmengine - INFO - Epoch(train) [4][780/3757] lr: 1.000e-02 eta: 1 day, 4:05:20 time: 0.320 data_time: 0.012 memory: 6404 grad_norm: 5.5583 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6100 loss: 2.6100 2022/06/29 15:01:06 - mmengine - INFO - Epoch(train) [4][800/3757] lr: 1.000e-02 eta: 1 day, 4:05:30 time: 0.247 data_time: 0.060 memory: 6404 grad_norm: 6.1800 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6914 loss: 2.6914 2022/06/29 15:01:12 - mmengine - INFO - Epoch(train) [4][820/3757] lr: 1.000e-02 eta: 1 day, 4:05:46 time: 0.244 data_time: 0.012 memory: 6404 grad_norm: 6.4008 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7187 loss: 2.7187 2022/06/29 15:01:17 - mmengine - INFO - Epoch(train) [4][840/3757] lr: 1.000e-02 eta: 1 day, 4:05:24 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 5.2607 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1734 loss: 3.1734 2022/06/29 15:01:22 - mmengine - INFO - Epoch(train) [4][860/3757] lr: 1.000e-02 eta: 1 day, 4:05:05 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 6.0348 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8389 loss: 2.8389 2022/06/29 15:01:27 - mmengine - INFO - Epoch(train) [4][880/3757] lr: 1.000e-02 eta: 1 day, 4:04:42 time: 0.245 data_time: 0.009 memory: 6404 grad_norm: 5.9080 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.2656 loss: 3.2656 2022/06/29 15:01:32 - mmengine - INFO - Epoch(train) [4][900/3757] lr: 1.000e-02 eta: 1 day, 4:04:19 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.0314 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7080 loss: 2.7080 2022/06/29 15:01:38 - mmengine - INFO - Epoch(train) [4][920/3757] lr: 1.000e-02 eta: 1 day, 4:04:02 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.7647 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7149 loss: 2.7149 2022/06/29 15:01:43 - mmengine - INFO - Epoch(train) [4][940/3757] lr: 1.000e-02 eta: 1 day, 4:04:02 time: 0.235 data_time: 0.005 memory: 6404 grad_norm: 5.5095 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8248 loss: 2.8248 2022/06/29 15:01:49 - mmengine - INFO - Epoch(train) [4][960/3757] lr: 1.000e-02 eta: 1 day, 4:04:09 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 6.0294 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1090 loss: 3.1090 2022/06/29 15:01:55 - mmengine - INFO - Epoch(train) [4][980/3757] lr: 1.000e-02 eta: 1 day, 4:03:55 time: 0.467 data_time: 0.007 memory: 6404 grad_norm: 6.1999 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9424 loss: 2.9424 2022/06/29 15:02:00 - mmengine - INFO - Epoch(train) [4][1000/3757] lr: 1.000e-02 eta: 1 day, 4:03:57 time: 0.234 data_time: 0.011 memory: 6404 grad_norm: 5.9162 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5257 loss: 2.5257 2022/06/29 15:02:06 - mmengine - INFO - Epoch(train) [4][1020/3757] lr: 1.000e-02 eta: 1 day, 4:03:52 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.6919 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8815 loss: 2.8815 2022/06/29 15:02:12 - mmengine - INFO - Epoch(train) [4][1040/3757] lr: 1.000e-02 eta: 1 day, 4:04:13 time: 1.302 data_time: 0.007 memory: 6404 grad_norm: 5.3245 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6209 loss: 2.6209 2022/06/29 15:02:17 - mmengine - INFO - Epoch(train) [4][1060/3757] lr: 1.000e-02 eta: 1 day, 4:03:51 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 5.7730 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5306 loss: 2.5306 2022/06/29 15:02:23 - mmengine - INFO - Epoch(train) [4][1080/3757] lr: 1.000e-02 eta: 1 day, 4:03:32 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 6.2646 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5958 loss: 2.5958 2022/06/29 15:02:28 - mmengine - INFO - Epoch(train) [4][1100/3757] lr: 1.000e-02 eta: 1 day, 4:03:30 time: 0.499 data_time: 0.006 memory: 6404 grad_norm: 5.5598 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6926 loss: 2.6926 2022/06/29 15:02:34 - mmengine - INFO - Epoch(train) [4][1120/3757] lr: 1.000e-02 eta: 1 day, 4:03:21 time: 0.242 data_time: 0.010 memory: 6404 grad_norm: 5.8769 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5695 loss: 2.5695 2022/06/29 15:02:39 - mmengine - INFO - Epoch(train) [4][1140/3757] lr: 1.000e-02 eta: 1 day, 4:03:09 time: 0.241 data_time: 0.006 memory: 6404 grad_norm: 5.5706 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8817 loss: 2.8817 2022/06/29 15:02:45 - mmengine - INFO - Epoch(train) [4][1160/3757] lr: 1.000e-02 eta: 1 day, 4:03:05 time: 0.830 data_time: 0.022 memory: 6404 grad_norm: 5.5935 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3447 loss: 2.3447 2022/06/29 15:02:50 - mmengine - INFO - Epoch(train) [4][1180/3757] lr: 1.000e-02 eta: 1 day, 4:02:55 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 6.6406 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5779 loss: 2.5779 2022/06/29 15:02:56 - mmengine - INFO - Epoch(train) [4][1200/3757] lr: 1.000e-02 eta: 1 day, 4:02:52 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 6.0914 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.9883 loss: 2.9883 2022/06/29 15:03:01 - mmengine - INFO - Epoch(train) [4][1220/3757] lr: 1.000e-02 eta: 1 day, 4:02:49 time: 0.263 data_time: 0.031 memory: 6404 grad_norm: 5.9527 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7039 loss: 2.7039 2022/06/29 15:03:06 - mmengine - INFO - Epoch(train) [4][1240/3757] lr: 1.000e-02 eta: 1 day, 4:02:28 time: 0.248 data_time: 0.023 memory: 6404 grad_norm: 6.2080 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6465 loss: 2.6465 2022/06/29 15:03:12 - mmengine - INFO - Epoch(train) [4][1260/3757] lr: 1.000e-02 eta: 1 day, 4:02:22 time: 0.263 data_time: 0.006 memory: 6404 grad_norm: 5.7507 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7014 loss: 2.7014 2022/06/29 15:03:18 - mmengine - INFO - Epoch(train) [4][1280/3757] lr: 1.000e-02 eta: 1 day, 4:02:26 time: 0.256 data_time: 0.022 memory: 6404 grad_norm: 5.5578 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0358 loss: 2.0358 2022/06/29 15:03:23 - mmengine - INFO - Epoch(train) [4][1300/3757] lr: 1.000e-02 eta: 1 day, 4:02:05 time: 0.248 data_time: 0.018 memory: 6404 grad_norm: 5.8564 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2784 loss: 3.2784 2022/06/29 15:03:28 - mmengine - INFO - Epoch(train) [4][1320/3757] lr: 1.000e-02 eta: 1 day, 4:01:55 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 6.5727 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4409 loss: 2.4409 2022/06/29 15:03:34 - mmengine - INFO - Epoch(train) [4][1340/3757] lr: 1.000e-02 eta: 1 day, 4:01:50 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 5.9613 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6412 loss: 2.6412 2022/06/29 15:03:39 - mmengine - INFO - Epoch(train) [4][1360/3757] lr: 1.000e-02 eta: 1 day, 4:01:30 time: 0.249 data_time: 0.061 memory: 6404 grad_norm: 5.4148 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8749 loss: 2.8749 2022/06/29 15:03:44 - mmengine - INFO - Epoch(train) [4][1380/3757] lr: 1.000e-02 eta: 1 day, 4:01:10 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 5.6034 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6679 loss: 2.6679 2022/06/29 15:03:50 - mmengine - INFO - Epoch(train) [4][1400/3757] lr: 1.000e-02 eta: 1 day, 4:01:07 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.3274 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.9687 loss: 2.9687 2022/06/29 15:03:55 - mmengine - INFO - Epoch(train) [4][1420/3757] lr: 1.000e-02 eta: 1 day, 4:01:03 time: 0.252 data_time: 0.056 memory: 6404 grad_norm: 6.1512 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7244 loss: 2.7244 2022/06/29 15:04:01 - mmengine - INFO - Epoch(train) [4][1440/3757] lr: 1.000e-02 eta: 1 day, 4:00:59 time: 0.240 data_time: 0.006 memory: 6404 grad_norm: 5.8222 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0334 loss: 3.0334 2022/06/29 15:04:06 - mmengine - INFO - Epoch(train) [4][1460/3757] lr: 1.000e-02 eta: 1 day, 4:00:52 time: 0.265 data_time: 0.006 memory: 6404 grad_norm: 5.8130 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7594 loss: 2.7594 2022/06/29 15:04:12 - mmengine - INFO - Epoch(train) [4][1480/3757] lr: 1.000e-02 eta: 1 day, 4:00:44 time: 0.291 data_time: 0.096 memory: 6404 grad_norm: 5.5186 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.9639 loss: 2.9639 2022/06/29 15:04:17 - mmengine - INFO - Epoch(train) [4][1500/3757] lr: 1.000e-02 eta: 1 day, 4:00:43 time: 0.240 data_time: 0.006 memory: 6404 grad_norm: 6.1164 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7911 loss: 2.7911 2022/06/29 15:04:23 - mmengine - INFO - Epoch(train) [4][1520/3757] lr: 1.000e-02 eta: 1 day, 4:00:25 time: 0.261 data_time: 0.006 memory: 6404 grad_norm: 5.5563 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5001 loss: 2.5001 2022/06/29 15:04:28 - mmengine - INFO - Epoch(train) [4][1540/3757] lr: 1.000e-02 eta: 1 day, 4:00:21 time: 0.252 data_time: 0.062 memory: 6404 grad_norm: 5.9629 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0295 loss: 3.0295 2022/06/29 15:04:35 - mmengine - INFO - Epoch(train) [4][1560/3757] lr: 1.000e-02 eta: 1 day, 4:00:36 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.8176 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4676 loss: 2.4676 2022/06/29 15:04:40 - mmengine - INFO - Epoch(train) [4][1580/3757] lr: 1.000e-02 eta: 1 day, 4:00:19 time: 0.270 data_time: 0.014 memory: 6404 grad_norm: 5.1099 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2419 loss: 3.2419 2022/06/29 15:04:45 - mmengine - INFO - Epoch(train) [4][1600/3757] lr: 1.000e-02 eta: 1 day, 3:59:58 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 6.1054 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6407 loss: 2.6407 2022/06/29 15:04:50 - mmengine - INFO - Epoch(train) [4][1620/3757] lr: 1.000e-02 eta: 1 day, 3:59:53 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 5.7131 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.9334 loss: 2.9334 2022/06/29 15:04:55 - mmengine - INFO - Epoch(train) [4][1640/3757] lr: 1.000e-02 eta: 1 day, 3:59:33 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 5.7020 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7542 loss: 2.7542 2022/06/29 15:05:01 - mmengine - INFO - Epoch(train) [4][1660/3757] lr: 1.000e-02 eta: 1 day, 3:59:34 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 5.9359 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2982 loss: 2.2982 2022/06/29 15:05:07 - mmengine - INFO - Epoch(train) [4][1680/3757] lr: 1.000e-02 eta: 1 day, 3:59:35 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.6268 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1764 loss: 3.1764 2022/06/29 15:05:13 - mmengine - INFO - Epoch(train) [4][1700/3757] lr: 1.000e-02 eta: 1 day, 3:59:31 time: 0.422 data_time: 0.007 memory: 6404 grad_norm: 6.5111 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2919 loss: 2.2919 2022/06/29 15:05:18 - mmengine - INFO - Epoch(train) [4][1720/3757] lr: 1.000e-02 eta: 1 day, 3:59:16 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 6.4920 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5813 loss: 2.5813 2022/06/29 15:05:20 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 15:05:23 - mmengine - INFO - Epoch(train) [4][1740/3757] lr: 1.000e-02 eta: 1 day, 3:59:00 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.7527 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0050 loss: 3.0050 2022/06/29 15:05:29 - mmengine - INFO - Epoch(train) [4][1760/3757] lr: 1.000e-02 eta: 1 day, 3:59:01 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 5.6673 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9293 loss: 2.9293 2022/06/29 15:05:34 - mmengine - INFO - Epoch(train) [4][1780/3757] lr: 1.000e-02 eta: 1 day, 3:58:48 time: 0.241 data_time: 0.008 memory: 6404 grad_norm: 5.5154 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5382 loss: 2.5382 2022/06/29 15:05:40 - mmengine - INFO - Epoch(train) [4][1800/3757] lr: 1.000e-02 eta: 1 day, 3:58:42 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 5.2703 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8471 loss: 2.8471 2022/06/29 15:05:46 - mmengine - INFO - Epoch(train) [4][1820/3757] lr: 1.000e-02 eta: 1 day, 3:58:49 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 5.7615 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2678 loss: 3.2678 2022/06/29 15:05:51 - mmengine - INFO - Epoch(train) [4][1840/3757] lr: 1.000e-02 eta: 1 day, 3:58:32 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.2521 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6756 loss: 2.6756 2022/06/29 15:05:56 - mmengine - INFO - Epoch(train) [4][1860/3757] lr: 1.000e-02 eta: 1 day, 3:58:31 time: 0.250 data_time: 0.014 memory: 6404 grad_norm: 5.5957 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8158 loss: 2.8158 2022/06/29 15:06:02 - mmengine - INFO - Epoch(train) [4][1880/3757] lr: 1.000e-02 eta: 1 day, 3:58:28 time: 0.270 data_time: 0.007 memory: 6404 grad_norm: 5.8058 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2425 loss: 2.2425 2022/06/29 15:06:07 - mmengine - INFO - Epoch(train) [4][1900/3757] lr: 1.000e-02 eta: 1 day, 3:58:17 time: 0.241 data_time: 0.012 memory: 6404 grad_norm: 5.6142 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0706 loss: 3.0706 2022/06/29 15:06:13 - mmengine - INFO - Epoch(train) [4][1920/3757] lr: 1.000e-02 eta: 1 day, 3:58:06 time: 0.244 data_time: 0.009 memory: 6404 grad_norm: 5.7545 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2372 loss: 2.2372 2022/06/29 15:06:19 - mmengine - INFO - Epoch(train) [4][1940/3757] lr: 1.000e-02 eta: 1 day, 3:58:13 time: 0.248 data_time: 0.005 memory: 6404 grad_norm: 5.9626 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1414 loss: 3.1414 2022/06/29 15:06:25 - mmengine - INFO - Epoch(train) [4][1960/3757] lr: 1.000e-02 eta: 1 day, 3:58:14 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.3180 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5506 loss: 2.5506 2022/06/29 15:06:30 - mmengine - INFO - Epoch(train) [4][1980/3757] lr: 1.000e-02 eta: 1 day, 3:58:18 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.7553 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1194 loss: 3.1194 2022/06/29 15:06:36 - mmengine - INFO - Epoch(train) [4][2000/3757] lr: 1.000e-02 eta: 1 day, 3:57:58 time: 0.264 data_time: 0.009 memory: 6404 grad_norm: 5.5879 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0611 loss: 3.0611 2022/06/29 15:06:41 - mmengine - INFO - Epoch(train) [4][2020/3757] lr: 1.000e-02 eta: 1 day, 3:57:38 time: 0.245 data_time: 0.005 memory: 6404 grad_norm: 5.4331 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9335 loss: 2.9335 2022/06/29 15:06:45 - mmengine - INFO - Epoch(train) [4][2040/3757] lr: 1.000e-02 eta: 1 day, 3:57:13 time: 0.239 data_time: 0.010 memory: 6404 grad_norm: 5.6024 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6907 loss: 2.6907 2022/06/29 15:06:55 - mmengine - INFO - Epoch(train) [4][2060/3757] lr: 1.000e-02 eta: 1 day, 3:58:48 time: 0.630 data_time: 0.011 memory: 6404 grad_norm: 5.7403 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9447 loss: 2.9447 2022/06/29 15:07:00 - mmengine - INFO - Epoch(train) [4][2080/3757] lr: 1.000e-02 eta: 1 day, 3:58:31 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.3992 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6203 loss: 2.6203 2022/06/29 15:07:05 - mmengine - INFO - Epoch(train) [4][2100/3757] lr: 1.000e-02 eta: 1 day, 3:58:12 time: 0.237 data_time: 0.006 memory: 6404 grad_norm: 5.5566 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5331 loss: 2.5331 2022/06/29 15:07:10 - mmengine - INFO - Epoch(train) [4][2120/3757] lr: 1.000e-02 eta: 1 day, 3:58:03 time: 0.284 data_time: 0.011 memory: 6404 grad_norm: 5.6144 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3092 loss: 2.3092 2022/06/29 15:07:16 - mmengine - INFO - Epoch(train) [4][2140/3757] lr: 1.000e-02 eta: 1 day, 3:57:49 time: 0.244 data_time: 0.009 memory: 6404 grad_norm: 4.9793 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1547 loss: 3.1547 2022/06/29 15:07:22 - mmengine - INFO - Epoch(train) [4][2160/3757] lr: 1.000e-02 eta: 1 day, 3:57:57 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 5.8519 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0940 loss: 3.0940 2022/06/29 15:07:28 - mmengine - INFO - Epoch(train) [4][2180/3757] lr: 1.000e-02 eta: 1 day, 3:58:08 time: 0.268 data_time: 0.020 memory: 6404 grad_norm: 5.2760 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5204 loss: 2.5204 2022/06/29 15:07:33 - mmengine - INFO - Epoch(train) [4][2200/3757] lr: 1.000e-02 eta: 1 day, 3:57:58 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.2104 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7723 loss: 2.7723 2022/06/29 15:07:39 - mmengine - INFO - Epoch(train) [4][2220/3757] lr: 1.000e-02 eta: 1 day, 3:57:50 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 6.1770 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9199 loss: 2.9199 2022/06/29 15:07:44 - mmengine - INFO - Epoch(train) [4][2240/3757] lr: 1.000e-02 eta: 1 day, 3:57:43 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 5.8314 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5702 loss: 2.5702 2022/06/29 15:07:50 - mmengine - INFO - Epoch(train) [4][2260/3757] lr: 1.000e-02 eta: 1 day, 3:57:40 time: 0.283 data_time: 0.011 memory: 6404 grad_norm: 6.6554 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7826 loss: 2.7826 2022/06/29 15:07:55 - mmengine - INFO - Epoch(train) [4][2280/3757] lr: 1.000e-02 eta: 1 day, 3:57:28 time: 0.249 data_time: 0.019 memory: 6404 grad_norm: 5.6569 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4629 loss: 2.4629 2022/06/29 15:08:00 - mmengine - INFO - Epoch(train) [4][2300/3757] lr: 1.000e-02 eta: 1 day, 3:57:09 time: 0.276 data_time: 0.015 memory: 6404 grad_norm: 5.3527 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5149 loss: 2.5149 2022/06/29 15:08:05 - mmengine - INFO - Epoch(train) [4][2320/3757] lr: 1.000e-02 eta: 1 day, 3:56:49 time: 0.240 data_time: 0.006 memory: 6404 grad_norm: 5.2080 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6990 loss: 2.6990 2022/06/29 15:08:11 - mmengine - INFO - Epoch(train) [4][2340/3757] lr: 1.000e-02 eta: 1 day, 3:56:40 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 6.0507 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6824 loss: 2.6824 2022/06/29 15:08:17 - mmengine - INFO - Epoch(train) [4][2360/3757] lr: 1.000e-02 eta: 1 day, 3:56:47 time: 0.248 data_time: 0.019 memory: 6404 grad_norm: 5.6212 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7888 loss: 2.7888 2022/06/29 15:08:22 - mmengine - INFO - Epoch(train) [4][2380/3757] lr: 1.000e-02 eta: 1 day, 3:56:39 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.5654 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8281 loss: 2.8281 2022/06/29 15:08:30 - mmengine - INFO - Epoch(train) [4][2400/3757] lr: 1.000e-02 eta: 1 day, 3:57:24 time: 0.291 data_time: 0.005 memory: 6404 grad_norm: 5.6331 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9240 loss: 2.9240 2022/06/29 15:08:35 - mmengine - INFO - Epoch(train) [4][2420/3757] lr: 1.000e-02 eta: 1 day, 3:57:04 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 6.0538 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8198 loss: 2.8198 2022/06/29 15:08:40 - mmengine - INFO - Epoch(train) [4][2440/3757] lr: 1.000e-02 eta: 1 day, 3:56:47 time: 0.320 data_time: 0.071 memory: 6404 grad_norm: 6.8853 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8913 loss: 2.8913 2022/06/29 15:08:45 - mmengine - INFO - Epoch(train) [4][2460/3757] lr: 1.000e-02 eta: 1 day, 3:56:27 time: 0.244 data_time: 0.013 memory: 6404 grad_norm: 5.9209 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.7196 loss: 2.7196 2022/06/29 15:08:50 - mmengine - INFO - Epoch(train) [4][2480/3757] lr: 1.000e-02 eta: 1 day, 3:56:09 time: 0.293 data_time: 0.029 memory: 6404 grad_norm: 6.0162 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1217 loss: 3.1217 2022/06/29 15:08:55 - mmengine - INFO - Epoch(train) [4][2500/3757] lr: 1.000e-02 eta: 1 day, 3:55:49 time: 0.262 data_time: 0.010 memory: 6404 grad_norm: 5.5273 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5969 loss: 2.5969 2022/06/29 15:09:00 - mmengine - INFO - Epoch(train) [4][2520/3757] lr: 1.000e-02 eta: 1 day, 3:55:37 time: 0.239 data_time: 0.006 memory: 6404 grad_norm: 5.9983 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7431 loss: 2.7431 2022/06/29 15:09:06 - mmengine - INFO - Epoch(train) [4][2540/3757] lr: 1.000e-02 eta: 1 day, 3:55:32 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 6.3583 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0775 loss: 3.0775 2022/06/29 15:09:11 - mmengine - INFO - Epoch(train) [4][2560/3757] lr: 1.000e-02 eta: 1 day, 3:55:26 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 6.1064 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4730 loss: 2.4730 2022/06/29 15:09:16 - mmengine - INFO - Epoch(train) [4][2580/3757] lr: 1.000e-02 eta: 1 day, 3:55:11 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 6.1488 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6163 loss: 2.6163 2022/06/29 15:09:23 - mmengine - INFO - Epoch(train) [4][2600/3757] lr: 1.000e-02 eta: 1 day, 3:55:24 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 5.4222 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.5883 loss: 2.5883 2022/06/29 15:09:30 - mmengine - INFO - Epoch(train) [4][2620/3757] lr: 1.000e-02 eta: 1 day, 3:56:08 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 5.9263 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6350 loss: 2.6350 2022/06/29 15:09:35 - mmengine - INFO - Epoch(train) [4][2640/3757] lr: 1.000e-02 eta: 1 day, 3:55:48 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 5.5785 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1537 loss: 3.1537 2022/06/29 15:09:40 - mmengine - INFO - Epoch(train) [4][2660/3757] lr: 1.000e-02 eta: 1 day, 3:55:31 time: 0.252 data_time: 0.018 memory: 6404 grad_norm: 6.4844 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8722 loss: 2.8722 2022/06/29 15:09:45 - mmengine - INFO - Epoch(train) [4][2680/3757] lr: 1.000e-02 eta: 1 day, 3:55:12 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 5.9253 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5575 loss: 2.5575 2022/06/29 15:09:50 - mmengine - INFO - Epoch(train) [4][2700/3757] lr: 1.000e-02 eta: 1 day, 3:54:54 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 6.1449 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8363 loss: 2.8363 2022/06/29 15:09:56 - mmengine - INFO - Epoch(train) [4][2720/3757] lr: 1.000e-02 eta: 1 day, 3:54:48 time: 0.272 data_time: 0.057 memory: 6404 grad_norm: 6.3562 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6767 loss: 2.6767 2022/06/29 15:09:58 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 15:10:02 - mmengine - INFO - Epoch(train) [4][2740/3757] lr: 1.000e-02 eta: 1 day, 3:54:54 time: 0.958 data_time: 0.006 memory: 6404 grad_norm: 6.2520 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6415 loss: 2.6415 2022/06/29 15:10:07 - mmengine - INFO - Epoch(train) [4][2760/3757] lr: 1.000e-02 eta: 1 day, 3:54:42 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.3783 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.7441 loss: 2.7441 2022/06/29 15:10:13 - mmengine - INFO - Epoch(train) [4][2780/3757] lr: 1.000e-02 eta: 1 day, 3:54:34 time: 0.403 data_time: 0.221 memory: 6404 grad_norm: 6.0537 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7379 loss: 2.7379 2022/06/29 15:10:18 - mmengine - INFO - Epoch(train) [4][2800/3757] lr: 1.000e-02 eta: 1 day, 3:54:26 time: 0.272 data_time: 0.008 memory: 6404 grad_norm: 5.8900 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7496 loss: 2.7496 2022/06/29 15:10:24 - mmengine - INFO - Epoch(train) [4][2820/3757] lr: 1.000e-02 eta: 1 day, 3:54:15 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.4314 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3384 loss: 3.3384 2022/06/29 15:10:29 - mmengine - INFO - Epoch(train) [4][2840/3757] lr: 1.000e-02 eta: 1 day, 3:54:14 time: 0.391 data_time: 0.204 memory: 6404 grad_norm: 5.2481 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9994 loss: 2.9994 2022/06/29 15:10:36 - mmengine - INFO - Epoch(train) [4][2860/3757] lr: 1.000e-02 eta: 1 day, 3:54:42 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.9504 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4354 loss: 2.4354 2022/06/29 15:10:42 - mmengine - INFO - Epoch(train) [4][2880/3757] lr: 1.000e-02 eta: 1 day, 3:54:32 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 6.2525 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7291 loss: 2.7291 2022/06/29 15:10:47 - mmengine - INFO - Epoch(train) [4][2900/3757] lr: 1.000e-02 eta: 1 day, 3:54:23 time: 0.255 data_time: 0.061 memory: 6404 grad_norm: 5.8178 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7999 loss: 2.7999 2022/06/29 15:10:53 - mmengine - INFO - Epoch(train) [4][2920/3757] lr: 1.000e-02 eta: 1 day, 3:54:22 time: 0.281 data_time: 0.010 memory: 6404 grad_norm: 6.0984 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5699 loss: 2.5699 2022/06/29 15:10:58 - mmengine - INFO - Epoch(train) [4][2940/3757] lr: 1.000e-02 eta: 1 day, 3:54:03 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.7766 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9874 loss: 2.9874 2022/06/29 15:11:04 - mmengine - INFO - Epoch(train) [4][2960/3757] lr: 1.000e-02 eta: 1 day, 3:54:04 time: 0.244 data_time: 0.024 memory: 6404 grad_norm: 6.3011 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9545 loss: 2.9545 2022/06/29 15:11:09 - mmengine - INFO - Epoch(train) [4][2980/3757] lr: 1.000e-02 eta: 1 day, 3:53:48 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.5057 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6580 loss: 2.6580 2022/06/29 15:11:14 - mmengine - INFO - Epoch(train) [4][3000/3757] lr: 1.000e-02 eta: 1 day, 3:53:44 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 5.3851 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0961 loss: 2.0961 2022/06/29 15:11:20 - mmengine - INFO - Epoch(train) [4][3020/3757] lr: 1.000e-02 eta: 1 day, 3:53:45 time: 0.251 data_time: 0.016 memory: 6404 grad_norm: 5.5151 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7288 loss: 2.7288 2022/06/29 15:11:25 - mmengine - INFO - Epoch(train) [4][3040/3757] lr: 1.000e-02 eta: 1 day, 3:53:29 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 4.9477 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9430 loss: 2.9430 2022/06/29 15:11:30 - mmengine - INFO - Epoch(train) [4][3060/3757] lr: 1.000e-02 eta: 1 day, 3:53:13 time: 0.245 data_time: 0.005 memory: 6404 grad_norm: 5.7830 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9685 loss: 2.9685 2022/06/29 15:11:35 - mmengine - INFO - Epoch(train) [4][3080/3757] lr: 1.000e-02 eta: 1 day, 3:52:54 time: 0.251 data_time: 0.035 memory: 6404 grad_norm: 5.7763 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7884 loss: 2.7884 2022/06/29 15:11:41 - mmengine - INFO - Epoch(train) [4][3100/3757] lr: 1.000e-02 eta: 1 day, 3:52:53 time: 0.241 data_time: 0.012 memory: 6404 grad_norm: 5.4710 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0917 loss: 3.0917 2022/06/29 15:11:46 - mmengine - INFO - Epoch(train) [4][3120/3757] lr: 1.000e-02 eta: 1 day, 3:52:38 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.5633 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8884 loss: 2.8884 2022/06/29 15:11:53 - mmengine - INFO - Epoch(train) [4][3140/3757] lr: 1.000e-02 eta: 1 day, 3:52:55 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 6.4246 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8751 loss: 2.8751 2022/06/29 15:11:58 - mmengine - INFO - Epoch(train) [4][3160/3757] lr: 1.000e-02 eta: 1 day, 3:52:52 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 6.7090 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8590 loss: 2.8590 2022/06/29 15:12:04 - mmengine - INFO - Epoch(train) [4][3180/3757] lr: 1.000e-02 eta: 1 day, 3:52:36 time: 0.245 data_time: 0.017 memory: 6404 grad_norm: 5.8792 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5456 loss: 2.5456 2022/06/29 15:12:09 - mmengine - INFO - Epoch(train) [4][3200/3757] lr: 1.000e-02 eta: 1 day, 3:52:26 time: 0.250 data_time: 0.005 memory: 6404 grad_norm: 5.5215 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5379 loss: 2.5379 2022/06/29 15:12:14 - mmengine - INFO - Epoch(train) [4][3220/3757] lr: 1.000e-02 eta: 1 day, 3:52:08 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 6.2091 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6902 loss: 2.6902 2022/06/29 15:12:20 - mmengine - INFO - Epoch(train) [4][3240/3757] lr: 1.000e-02 eta: 1 day, 3:52:06 time: 0.241 data_time: 0.009 memory: 6404 grad_norm: 5.6756 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7412 loss: 2.7412 2022/06/29 15:12:25 - mmengine - INFO - Epoch(train) [4][3260/3757] lr: 1.000e-02 eta: 1 day, 3:51:50 time: 0.369 data_time: 0.007 memory: 6404 grad_norm: 6.7316 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9168 loss: 2.9168 2022/06/29 15:12:30 - mmengine - INFO - Epoch(train) [4][3280/3757] lr: 1.000e-02 eta: 1 day, 3:51:42 time: 0.254 data_time: 0.027 memory: 6404 grad_norm: 6.1428 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6163 loss: 2.6163 2022/06/29 15:12:36 - mmengine - INFO - Epoch(train) [4][3300/3757] lr: 1.000e-02 eta: 1 day, 3:51:35 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 5.9878 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5893 loss: 2.5893 2022/06/29 15:12:42 - mmengine - INFO - Epoch(train) [4][3320/3757] lr: 1.000e-02 eta: 1 day, 3:51:54 time: 1.399 data_time: 0.008 memory: 6404 grad_norm: 5.5296 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3558 loss: 2.3558 2022/06/29 15:12:47 - mmengine - INFO - Epoch(train) [4][3340/3757] lr: 1.000e-02 eta: 1 day, 3:51:34 time: 0.247 data_time: 0.051 memory: 6404 grad_norm: 6.1040 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.7512 loss: 2.7512 2022/06/29 15:12:53 - mmengine - INFO - Epoch(train) [4][3360/3757] lr: 1.000e-02 eta: 1 day, 3:51:21 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 6.0650 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8044 loss: 2.8044 2022/06/29 15:13:00 - mmengine - INFO - Epoch(train) [4][3380/3757] lr: 1.000e-02 eta: 1 day, 3:51:51 time: 1.442 data_time: 0.006 memory: 6404 grad_norm: 5.8009 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6301 loss: 2.6301 2022/06/29 15:13:05 - mmengine - INFO - Epoch(train) [4][3400/3757] lr: 1.000e-02 eta: 1 day, 3:51:33 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.1492 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5777 loss: 2.5777 2022/06/29 15:13:10 - mmengine - INFO - Epoch(train) [4][3420/3757] lr: 1.000e-02 eta: 1 day, 3:51:17 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 6.0287 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7069 loss: 2.7069 2022/06/29 15:13:15 - mmengine - INFO - Epoch(train) [4][3440/3757] lr: 1.000e-02 eta: 1 day, 3:51:01 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.8645 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7465 loss: 2.7465 2022/06/29 15:13:20 - mmengine - INFO - Epoch(train) [4][3460/3757] lr: 1.000e-02 eta: 1 day, 3:50:43 time: 0.287 data_time: 0.009 memory: 6404 grad_norm: 6.0827 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9042 loss: 2.9042 2022/06/29 15:13:25 - mmengine - INFO - Epoch(train) [4][3480/3757] lr: 1.000e-02 eta: 1 day, 3:50:29 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 6.1097 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.7692 loss: 2.7692 2022/06/29 15:13:31 - mmengine - INFO - Epoch(train) [4][3500/3757] lr: 1.000e-02 eta: 1 day, 3:50:25 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.3702 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0322 loss: 3.0322 2022/06/29 15:13:36 - mmengine - INFO - Epoch(train) [4][3520/3757] lr: 1.000e-02 eta: 1 day, 3:50:19 time: 0.238 data_time: 0.011 memory: 6404 grad_norm: 6.2519 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9994 loss: 2.9994 2022/06/29 15:13:42 - mmengine - INFO - Epoch(train) [4][3540/3757] lr: 1.000e-02 eta: 1 day, 3:50:09 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 5.7816 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7356 loss: 2.7356 2022/06/29 15:13:47 - mmengine - INFO - Epoch(train) [4][3560/3757] lr: 1.000e-02 eta: 1 day, 3:50:01 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 6.4277 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9931 loss: 2.9931 2022/06/29 15:13:53 - mmengine - INFO - Epoch(train) [4][3580/3757] lr: 1.000e-02 eta: 1 day, 3:50:02 time: 0.246 data_time: 0.005 memory: 6404 grad_norm: 4.9564 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8658 loss: 2.8658 2022/06/29 15:13:58 - mmengine - INFO - Epoch(train) [4][3600/3757] lr: 1.000e-02 eta: 1 day, 3:49:52 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 5.6454 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.9345 loss: 2.9345 2022/06/29 15:14:04 - mmengine - INFO - Epoch(train) [4][3620/3757] lr: 1.000e-02 eta: 1 day, 3:49:41 time: 0.241 data_time: 0.008 memory: 6404 grad_norm: 5.8929 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8918 loss: 2.8918 2022/06/29 15:14:09 - mmengine - INFO - Epoch(train) [4][3640/3757] lr: 1.000e-02 eta: 1 day, 3:49:27 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.3828 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4519 loss: 2.4519 2022/06/29 15:14:15 - mmengine - INFO - Epoch(train) [4][3660/3757] lr: 1.000e-02 eta: 1 day, 3:49:25 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 5.4866 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9010 loss: 2.9010 2022/06/29 15:14:21 - mmengine - INFO - Epoch(train) [4][3680/3757] lr: 1.000e-02 eta: 1 day, 3:49:28 time: 0.412 data_time: 0.012 memory: 6404 grad_norm: 5.5548 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9631 loss: 1.9631 2022/06/29 15:14:28 - mmengine - INFO - Epoch(train) [4][3700/3757] lr: 1.000e-02 eta: 1 day, 3:49:59 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.8005 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7139 loss: 2.7139 2022/06/29 15:14:33 - mmengine - INFO - Epoch(train) [4][3720/3757] lr: 1.000e-02 eta: 1 day, 3:49:44 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.8484 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0715 loss: 3.0715 2022/06/29 15:14:35 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 15:14:38 - mmengine - INFO - Epoch(train) [4][3740/3757] lr: 1.000e-02 eta: 1 day, 3:49:26 time: 0.235 data_time: 0.010 memory: 6404 grad_norm: 5.7093 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0209 loss: 3.0209 2022/06/29 15:14:42 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 15:14:49 - mmengine - INFO - Epoch(val) [4][20/310] eta: 0:01:22 time: 0.097 data_time: 0.017 memory: 6404 2022/06/29 15:14:56 - mmengine - INFO - Epoch(val) [4][40/310] eta: 0:01:29 time: 1.303 data_time: 1.224 memory: 1479 2022/06/29 15:15:00 - mmengine - INFO - Epoch(val) [4][60/310] eta: 0:00:50 time: 0.077 data_time: 0.005 memory: 1479 2022/06/29 15:15:06 - mmengine - INFO - Epoch(val) [4][80/310] eta: 0:01:09 time: 0.082 data_time: 0.005 memory: 1479 2022/06/29 15:15:12 - mmengine - INFO - Epoch(val) [4][100/310] eta: 0:00:56 time: 1.816 data_time: 1.738 memory: 1479 2022/06/29 15:15:16 - mmengine - INFO - Epoch(val) [4][120/310] eta: 0:00:43 time: 0.087 data_time: 0.008 memory: 1479 2022/06/29 15:15:22 - mmengine - INFO - Epoch(val) [4][140/310] eta: 0:00:50 time: 0.080 data_time: 0.006 memory: 1479 2022/06/29 15:15:28 - mmengine - INFO - Epoch(val) [4][160/310] eta: 0:00:48 time: 2.388 data_time: 2.299 memory: 1479 2022/06/29 15:15:32 - mmengine - INFO - Epoch(val) [4][180/310] eta: 0:00:36 time: 0.082 data_time: 0.005 memory: 1479 2022/06/29 15:15:37 - mmengine - INFO - Epoch(val) [4][200/310] eta: 0:00:34 time: 0.081 data_time: 0.005 memory: 1479 2022/06/29 15:15:43 - mmengine - INFO - Epoch(val) [4][220/310] eta: 0:00:26 time: 1.039 data_time: 0.948 memory: 1479 2022/06/29 15:15:47 - mmengine - INFO - Epoch(val) [4][240/310] eta: 0:00:20 time: 0.100 data_time: 0.010 memory: 1479 2022/06/29 15:15:53 - mmengine - INFO - Epoch(val) [4][260/310] eta: 0:00:17 time: 0.084 data_time: 0.009 memory: 1479 2022/06/29 15:16:00 - mmengine - INFO - Epoch(val) [4][280/310] eta: 0:00:08 time: 1.896 data_time: 1.802 memory: 1479 2022/06/29 15:16:03 - mmengine - INFO - Epoch(val) [4][300/310] eta: 0:00:02 time: 0.077 data_time: 0.005 memory: 1479 2022/06/29 15:16:05 - mmengine - INFO - Epoch(val) [4][310/310] acc/top1: 0.4322 acc/top5: 0.7054 acc/mean1: 0.4320 2022/06/29 15:16:15 - mmengine - INFO - Epoch(train) [5][20/3757] lr: 1.000e-02 eta: 1 day, 3:50:09 time: 0.239 data_time: 0.015 memory: 6404 grad_norm: 5.3151 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7122 loss: 2.7122 2022/06/29 15:16:21 - mmengine - INFO - Epoch(train) [5][40/3757] lr: 1.000e-02 eta: 1 day, 3:49:56 time: 0.399 data_time: 0.009 memory: 6404 grad_norm: 5.8132 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0850 loss: 2.0850 2022/06/29 15:16:26 - mmengine - INFO - Epoch(train) [5][60/3757] lr: 1.000e-02 eta: 1 day, 3:49:38 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 5.5545 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8138 loss: 2.8138 2022/06/29 15:16:31 - mmengine - INFO - Epoch(train) [5][80/3757] lr: 1.000e-02 eta: 1 day, 3:49:19 time: 0.247 data_time: 0.014 memory: 6404 grad_norm: 5.4240 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8802 loss: 2.8802 2022/06/29 15:16:36 - mmengine - INFO - Epoch(train) [5][100/3757] lr: 1.000e-02 eta: 1 day, 3:49:06 time: 0.242 data_time: 0.015 memory: 6404 grad_norm: 6.3153 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4773 loss: 2.4773 2022/06/29 15:16:42 - mmengine - INFO - Epoch(train) [5][120/3757] lr: 1.000e-02 eta: 1 day, 3:49:03 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 5.5795 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5540 loss: 2.5540 2022/06/29 15:16:47 - mmengine - INFO - Epoch(train) [5][140/3757] lr: 1.000e-02 eta: 1 day, 3:48:59 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.4249 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1094 loss: 2.1094 2022/06/29 15:16:54 - mmengine - INFO - Epoch(train) [5][160/3757] lr: 1.000e-02 eta: 1 day, 3:49:19 time: 0.236 data_time: 0.016 memory: 6404 grad_norm: 6.0767 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5234 loss: 2.5234 2022/06/29 15:16:59 - mmengine - INFO - Epoch(train) [5][180/3757] lr: 1.000e-02 eta: 1 day, 3:49:02 time: 0.241 data_time: 0.010 memory: 6404 grad_norm: 6.0696 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0085 loss: 3.0085 2022/06/29 15:17:07 - mmengine - INFO - Epoch(train) [5][200/3757] lr: 1.000e-02 eta: 1 day, 3:50:02 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 5.6095 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6056 loss: 2.6056 2022/06/29 15:17:12 - mmengine - INFO - Epoch(train) [5][220/3757] lr: 1.000e-02 eta: 1 day, 3:49:46 time: 0.252 data_time: 0.016 memory: 6404 grad_norm: 6.0049 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2325 loss: 3.2325 2022/06/29 15:17:17 - mmengine - INFO - Epoch(train) [5][240/3757] lr: 1.000e-02 eta: 1 day, 3:49:28 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.5942 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4105 loss: 2.4105 2022/06/29 15:17:23 - mmengine - INFO - Epoch(train) [5][260/3757] lr: 1.000e-02 eta: 1 day, 3:49:10 time: 0.245 data_time: 0.016 memory: 6404 grad_norm: 5.3759 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0539 loss: 3.0539 2022/06/29 15:17:28 - mmengine - INFO - Epoch(train) [5][280/3757] lr: 1.000e-02 eta: 1 day, 3:48:51 time: 0.249 data_time: 0.014 memory: 6404 grad_norm: 5.6540 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8286 loss: 2.8286 2022/06/29 15:17:33 - mmengine - INFO - Epoch(train) [5][300/3757] lr: 1.000e-02 eta: 1 day, 3:48:33 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 6.0846 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6892 loss: 2.6892 2022/06/29 15:17:38 - mmengine - INFO - Epoch(train) [5][320/3757] lr: 1.000e-02 eta: 1 day, 3:48:25 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 6.2104 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5226 loss: 2.5226 2022/06/29 15:17:48 - mmengine - INFO - Epoch(train) [5][340/3757] lr: 1.000e-02 eta: 1 day, 3:50:09 time: 0.260 data_time: 0.009 memory: 6404 grad_norm: 5.6780 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3699 loss: 2.3699 2022/06/29 15:17:53 - mmengine - INFO - Epoch(train) [5][360/3757] lr: 1.000e-02 eta: 1 day, 3:49:51 time: 0.245 data_time: 0.013 memory: 6404 grad_norm: 5.5486 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5146 loss: 2.5146 2022/06/29 15:17:58 - mmengine - INFO - Epoch(train) [5][380/3757] lr: 1.000e-02 eta: 1 day, 3:49:36 time: 0.242 data_time: 0.015 memory: 6404 grad_norm: 5.1865 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3585 loss: 2.3585 2022/06/29 15:18:04 - mmengine - INFO - Epoch(train) [5][400/3757] lr: 1.000e-02 eta: 1 day, 3:49:22 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.9140 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0908 loss: 3.0908 2022/06/29 15:18:09 - mmengine - INFO - Epoch(train) [5][420/3757] lr: 1.000e-02 eta: 1 day, 3:49:02 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 5.2936 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5853 loss: 2.5853 2022/06/29 15:18:14 - mmengine - INFO - Epoch(train) [5][440/3757] lr: 1.000e-02 eta: 1 day, 3:48:44 time: 0.267 data_time: 0.019 memory: 6404 grad_norm: 5.7565 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4026 loss: 2.4026 2022/06/29 15:18:20 - mmengine - INFO - Epoch(train) [5][460/3757] lr: 1.000e-02 eta: 1 day, 3:48:54 time: 1.323 data_time: 1.133 memory: 6404 grad_norm: 6.0553 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6322 loss: 2.6322 2022/06/29 15:18:25 - mmengine - INFO - Epoch(train) [5][480/3757] lr: 1.000e-02 eta: 1 day, 3:48:49 time: 0.241 data_time: 0.006 memory: 6404 grad_norm: 5.3456 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1580 loss: 3.1580 2022/06/29 15:18:31 - mmengine - INFO - Epoch(train) [5][500/3757] lr: 1.000e-02 eta: 1 day, 3:48:44 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.2990 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5115 loss: 2.5115 2022/06/29 15:18:36 - mmengine - INFO - Epoch(train) [5][520/3757] lr: 1.000e-02 eta: 1 day, 3:48:37 time: 0.261 data_time: 0.073 memory: 6404 grad_norm: 5.0765 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8196 loss: 2.8196 2022/06/29 15:18:42 - mmengine - INFO - Epoch(train) [5][540/3757] lr: 1.000e-02 eta: 1 day, 3:48:23 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 5.7974 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4913 loss: 2.4913 2022/06/29 15:18:47 - mmengine - INFO - Epoch(train) [5][560/3757] lr: 1.000e-02 eta: 1 day, 3:48:15 time: 0.243 data_time: 0.009 memory: 6404 grad_norm: 5.3808 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5811 loss: 2.5811 2022/06/29 15:18:53 - mmengine - INFO - Epoch(train) [5][580/3757] lr: 1.000e-02 eta: 1 day, 3:48:17 time: 0.526 data_time: 0.339 memory: 6404 grad_norm: 5.8484 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6293 loss: 2.6293 2022/06/29 15:18:58 - mmengine - INFO - Epoch(train) [5][600/3757] lr: 1.000e-02 eta: 1 day, 3:48:09 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 6.3145 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7685 loss: 2.7685 2022/06/29 15:19:04 - mmengine - INFO - Epoch(train) [5][620/3757] lr: 1.000e-02 eta: 1 day, 3:47:53 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 5.7620 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5470 loss: 2.5470 2022/06/29 15:19:09 - mmengine - INFO - Epoch(train) [5][640/3757] lr: 1.000e-02 eta: 1 day, 3:47:47 time: 0.283 data_time: 0.030 memory: 6404 grad_norm: 5.7270 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7175 loss: 2.7175 2022/06/29 15:19:15 - mmengine - INFO - Epoch(train) [5][660/3757] lr: 1.000e-02 eta: 1 day, 3:47:39 time: 0.254 data_time: 0.050 memory: 6404 grad_norm: 5.5147 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.6428 loss: 2.6428 2022/06/29 15:19:20 - mmengine - INFO - Epoch(train) [5][680/3757] lr: 1.000e-02 eta: 1 day, 3:47:37 time: 0.260 data_time: 0.006 memory: 6404 grad_norm: 5.5829 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7037 loss: 2.7037 2022/06/29 15:19:25 - mmengine - INFO - Epoch(train) [5][700/3757] lr: 1.000e-02 eta: 1 day, 3:47:21 time: 0.250 data_time: 0.045 memory: 6404 grad_norm: 5.1222 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9851 loss: 2.9851 2022/06/29 15:19:31 - mmengine - INFO - Epoch(train) [5][720/3757] lr: 1.000e-02 eta: 1 day, 3:47:14 time: 0.248 data_time: 0.025 memory: 6404 grad_norm: 5.8621 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0736 loss: 3.0736 2022/06/29 15:19:37 - mmengine - INFO - Epoch(train) [5][740/3757] lr: 1.000e-02 eta: 1 day, 3:47:11 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 5.9827 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5147 loss: 2.5147 2022/06/29 15:19:42 - mmengine - INFO - Epoch(train) [5][760/3757] lr: 1.000e-02 eta: 1 day, 3:46:54 time: 0.258 data_time: 0.028 memory: 6404 grad_norm: 6.4122 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8429 loss: 2.8429 2022/06/29 15:19:48 - mmengine - INFO - Epoch(train) [5][780/3757] lr: 1.000e-02 eta: 1 day, 3:46:56 time: 0.245 data_time: 0.020 memory: 6404 grad_norm: 6.2938 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7013 loss: 2.7013 2022/06/29 15:19:53 - mmengine - INFO - Epoch(train) [5][800/3757] lr: 1.000e-02 eta: 1 day, 3:46:45 time: 0.266 data_time: 0.011 memory: 6404 grad_norm: 6.7034 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5378 loss: 2.5378 2022/06/29 15:19:58 - mmengine - INFO - Epoch(train) [5][820/3757] lr: 1.000e-02 eta: 1 day, 3:46:35 time: 0.467 data_time: 0.016 memory: 6404 grad_norm: 6.0827 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5500 loss: 2.5500 2022/06/29 15:20:04 - mmengine - INFO - Epoch(train) [5][840/3757] lr: 1.000e-02 eta: 1 day, 3:46:29 time: 0.242 data_time: 0.005 memory: 6404 grad_norm: 6.4126 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8836 loss: 2.8836 2022/06/29 15:20:09 - mmengine - INFO - Epoch(train) [5][860/3757] lr: 1.000e-02 eta: 1 day, 3:46:25 time: 0.273 data_time: 0.009 memory: 6404 grad_norm: 6.0266 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1571 loss: 3.1571 2022/06/29 15:20:16 - mmengine - INFO - Epoch(train) [5][880/3757] lr: 1.000e-02 eta: 1 day, 3:46:40 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.5323 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8232 loss: 2.8232 2022/06/29 15:20:21 - mmengine - INFO - Epoch(train) [5][900/3757] lr: 1.000e-02 eta: 1 day, 3:46:23 time: 0.309 data_time: 0.018 memory: 6404 grad_norm: 6.0166 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6334 loss: 2.6334 2022/06/29 15:20:26 - mmengine - INFO - Epoch(train) [5][920/3757] lr: 1.000e-02 eta: 1 day, 3:46:07 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 6.0552 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9439 loss: 2.9439 2022/06/29 15:20:31 - mmengine - INFO - Epoch(train) [5][940/3757] lr: 1.000e-02 eta: 1 day, 3:45:50 time: 0.261 data_time: 0.028 memory: 6404 grad_norm: 5.9224 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7849 loss: 2.7849 2022/06/29 15:20:36 - mmengine - INFO - Epoch(train) [5][960/3757] lr: 1.000e-02 eta: 1 day, 3:45:40 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.2657 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6419 loss: 2.6419 2022/06/29 15:20:39 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 15:20:42 - mmengine - INFO - Epoch(train) [5][980/3757] lr: 1.000e-02 eta: 1 day, 3:45:44 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.7485 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6920 loss: 2.6920 2022/06/29 15:20:48 - mmengine - INFO - Epoch(train) [5][1000/3757] lr: 1.000e-02 eta: 1 day, 3:45:40 time: 0.300 data_time: 0.006 memory: 6404 grad_norm: 6.1457 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6360 loss: 2.6360 2022/06/29 15:20:54 - mmengine - INFO - Epoch(train) [5][1020/3757] lr: 1.000e-02 eta: 1 day, 3:45:39 time: 0.259 data_time: 0.015 memory: 6404 grad_norm: 6.1716 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0470 loss: 3.0470 2022/06/29 15:21:00 - mmengine - INFO - Epoch(train) [5][1040/3757] lr: 1.000e-02 eta: 1 day, 3:45:47 time: 0.259 data_time: 0.012 memory: 6404 grad_norm: 6.2823 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7210 loss: 2.7210 2022/06/29 15:21:05 - mmengine - INFO - Epoch(train) [5][1060/3757] lr: 1.000e-02 eta: 1 day, 3:45:35 time: 0.277 data_time: 0.007 memory: 6404 grad_norm: 5.5946 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.8078 loss: 2.8078 2022/06/29 15:21:10 - mmengine - INFO - Epoch(train) [5][1080/3757] lr: 1.000e-02 eta: 1 day, 3:45:22 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.7967 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6904 loss: 2.6904 2022/06/29 15:21:16 - mmengine - INFO - Epoch(train) [5][1100/3757] lr: 1.000e-02 eta: 1 day, 3:45:06 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 6.2234 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5644 loss: 2.5644 2022/06/29 15:21:21 - mmengine - INFO - Epoch(train) [5][1120/3757] lr: 1.000e-02 eta: 1 day, 3:44:49 time: 0.261 data_time: 0.011 memory: 6404 grad_norm: 5.5264 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7511 loss: 2.7511 2022/06/29 15:21:27 - mmengine - INFO - Epoch(train) [5][1140/3757] lr: 1.000e-02 eta: 1 day, 3:44:53 time: 0.266 data_time: 0.006 memory: 6404 grad_norm: 5.4387 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6491 loss: 2.6491 2022/06/29 15:21:32 - mmengine - INFO - Epoch(train) [5][1160/3757] lr: 1.000e-02 eta: 1 day, 3:44:44 time: 0.243 data_time: 0.012 memory: 6404 grad_norm: 5.2468 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6805 loss: 2.6805 2022/06/29 15:21:37 - mmengine - INFO - Epoch(train) [5][1180/3757] lr: 1.000e-02 eta: 1 day, 3:44:32 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.9534 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4441 loss: 2.4441 2022/06/29 15:21:43 - mmengine - INFO - Epoch(train) [5][1200/3757] lr: 1.000e-02 eta: 1 day, 3:44:32 time: 0.295 data_time: 0.008 memory: 6404 grad_norm: 5.7458 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1844 loss: 3.1844 2022/06/29 15:21:48 - mmengine - INFO - Epoch(train) [5][1220/3757] lr: 1.000e-02 eta: 1 day, 3:44:17 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 6.4177 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.3248 loss: 2.3248 2022/06/29 15:21:54 - mmengine - INFO - Epoch(train) [5][1240/3757] lr: 1.000e-02 eta: 1 day, 3:44:26 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.1087 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0478 loss: 3.0478 2022/06/29 15:22:00 - mmengine - INFO - Epoch(train) [5][1260/3757] lr: 1.000e-02 eta: 1 day, 3:44:17 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 5.7094 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6820 loss: 2.6820 2022/06/29 15:22:05 - mmengine - INFO - Epoch(train) [5][1280/3757] lr: 1.000e-02 eta: 1 day, 3:44:10 time: 0.242 data_time: 0.009 memory: 6404 grad_norm: 5.5018 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9634 loss: 2.9634 2022/06/29 15:22:11 - mmengine - INFO - Epoch(train) [5][1300/3757] lr: 1.000e-02 eta: 1 day, 3:44:07 time: 0.241 data_time: 0.007 memory: 6404 grad_norm: 5.7799 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7117 loss: 2.7117 2022/06/29 15:22:16 - mmengine - INFO - Epoch(train) [5][1320/3757] lr: 1.000e-02 eta: 1 day, 3:43:52 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 5.3600 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7570 loss: 2.7570 2022/06/29 15:22:22 - mmengine - INFO - Epoch(train) [5][1340/3757] lr: 1.000e-02 eta: 1 day, 3:43:50 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.7661 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6265 loss: 2.6265 2022/06/29 15:22:27 - mmengine - INFO - Epoch(train) [5][1360/3757] lr: 1.000e-02 eta: 1 day, 3:43:45 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.4100 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5922 loss: 2.5922 2022/06/29 15:22:33 - mmengine - INFO - Epoch(train) [5][1380/3757] lr: 1.000e-02 eta: 1 day, 3:43:36 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.5818 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9857 loss: 2.9857 2022/06/29 15:22:39 - mmengine - INFO - Epoch(train) [5][1400/3757] lr: 1.000e-02 eta: 1 day, 3:43:44 time: 0.236 data_time: 0.010 memory: 6404 grad_norm: 5.5771 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9407 loss: 2.9407 2022/06/29 15:22:44 - mmengine - INFO - Epoch(train) [5][1420/3757] lr: 1.000e-02 eta: 1 day, 3:43:31 time: 0.255 data_time: 0.017 memory: 6404 grad_norm: 5.3440 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7059 loss: 2.7059 2022/06/29 15:22:50 - mmengine - INFO - Epoch(train) [5][1440/3757] lr: 1.000e-02 eta: 1 day, 3:43:26 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 6.3284 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9150 loss: 2.9150 2022/06/29 15:22:56 - mmengine - INFO - Epoch(train) [5][1460/3757] lr: 1.000e-02 eta: 1 day, 3:43:27 time: 0.271 data_time: 0.012 memory: 6404 grad_norm: 6.0013 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7428 loss: 2.7428 2022/06/29 15:23:01 - mmengine - INFO - Epoch(train) [5][1480/3757] lr: 1.000e-02 eta: 1 day, 3:43:13 time: 0.248 data_time: 0.063 memory: 6404 grad_norm: 5.8550 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3218 loss: 2.3218 2022/06/29 15:23:06 - mmengine - INFO - Epoch(train) [5][1500/3757] lr: 1.000e-02 eta: 1 day, 3:42:59 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 6.1399 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1063 loss: 3.1063 2022/06/29 15:23:11 - mmengine - INFO - Epoch(train) [5][1520/3757] lr: 1.000e-02 eta: 1 day, 3:42:51 time: 0.388 data_time: 0.006 memory: 6404 grad_norm: 5.0913 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.5103 loss: 2.5103 2022/06/29 15:23:16 - mmengine - INFO - Epoch(train) [5][1540/3757] lr: 1.000e-02 eta: 1 day, 3:42:35 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 5.7072 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.4854 loss: 2.4854 2022/06/29 15:23:23 - mmengine - INFO - Epoch(train) [5][1560/3757] lr: 1.000e-02 eta: 1 day, 3:42:41 time: 0.257 data_time: 0.015 memory: 6404 grad_norm: 5.4686 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5807 loss: 2.5807 2022/06/29 15:23:28 - mmengine - INFO - Epoch(train) [5][1580/3757] lr: 1.000e-02 eta: 1 day, 3:42:25 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.6788 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0668 loss: 3.0668 2022/06/29 15:23:33 - mmengine - INFO - Epoch(train) [5][1600/3757] lr: 1.000e-02 eta: 1 day, 3:42:08 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 6.0728 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8785 loss: 2.8785 2022/06/29 15:23:41 - mmengine - INFO - Epoch(train) [5][1620/3757] lr: 1.000e-02 eta: 1 day, 3:42:54 time: 0.279 data_time: 0.005 memory: 6404 grad_norm: 5.2458 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5744 loss: 2.5744 2022/06/29 15:23:46 - mmengine - INFO - Epoch(train) [5][1640/3757] lr: 1.000e-02 eta: 1 day, 3:42:36 time: 0.241 data_time: 0.010 memory: 6404 grad_norm: 6.1185 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8806 loss: 2.8806 2022/06/29 15:23:51 - mmengine - INFO - Epoch(train) [5][1660/3757] lr: 1.000e-02 eta: 1 day, 3:42:20 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 5.9616 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4723 loss: 2.4723 2022/06/29 15:23:56 - mmengine - INFO - Epoch(train) [5][1680/3757] lr: 1.000e-02 eta: 1 day, 3:42:02 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.1507 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0190 loss: 3.0190 2022/06/29 15:24:01 - mmengine - INFO - Epoch(train) [5][1700/3757] lr: 1.000e-02 eta: 1 day, 3:41:44 time: 0.241 data_time: 0.014 memory: 6404 grad_norm: 5.8361 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6394 loss: 2.6394 2022/06/29 15:24:06 - mmengine - INFO - Epoch(train) [5][1720/3757] lr: 1.000e-02 eta: 1 day, 3:41:42 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.0227 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8788 loss: 2.8788 2022/06/29 15:24:12 - mmengine - INFO - Epoch(train) [5][1740/3757] lr: 1.000e-02 eta: 1 day, 3:41:38 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 6.1091 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3608 loss: 2.3608 2022/06/29 15:24:18 - mmengine - INFO - Epoch(train) [5][1760/3757] lr: 1.000e-02 eta: 1 day, 3:41:34 time: 0.268 data_time: 0.032 memory: 6404 grad_norm: 5.6466 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3681 loss: 2.3681 2022/06/29 15:24:23 - mmengine - INFO - Epoch(train) [5][1780/3757] lr: 1.000e-02 eta: 1 day, 3:41:25 time: 0.237 data_time: 0.010 memory: 6404 grad_norm: 5.7852 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7668 loss: 2.7668 2022/06/29 15:24:28 - mmengine - INFO - Epoch(train) [5][1800/3757] lr: 1.000e-02 eta: 1 day, 3:41:17 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.1792 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0609 loss: 2.0609 2022/06/29 15:24:34 - mmengine - INFO - Epoch(train) [5][1820/3757] lr: 1.000e-02 eta: 1 day, 3:41:14 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 6.2625 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6285 loss: 2.6285 2022/06/29 15:24:40 - mmengine - INFO - Epoch(train) [5][1840/3757] lr: 1.000e-02 eta: 1 day, 3:41:06 time: 0.241 data_time: 0.011 memory: 6404 grad_norm: 5.5593 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5535 loss: 2.5535 2022/06/29 15:24:46 - mmengine - INFO - Epoch(train) [5][1860/3757] lr: 1.000e-02 eta: 1 day, 3:41:19 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 6.1612 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0414 loss: 3.0414 2022/06/29 15:24:51 - mmengine - INFO - Epoch(train) [5][1880/3757] lr: 1.000e-02 eta: 1 day, 3:41:06 time: 0.318 data_time: 0.013 memory: 6404 grad_norm: 5.8106 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4282 loss: 2.4282 2022/06/29 15:24:57 - mmengine - INFO - Epoch(train) [5][1900/3757] lr: 1.000e-02 eta: 1 day, 3:40:59 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 5.9067 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9015 loss: 2.9015 2022/06/29 15:25:02 - mmengine - INFO - Epoch(train) [5][1920/3757] lr: 1.000e-02 eta: 1 day, 3:40:42 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 6.0459 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3978 loss: 2.3978 2022/06/29 15:25:10 - mmengine - INFO - Epoch(train) [5][1940/3757] lr: 1.000e-02 eta: 1 day, 3:41:25 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.7806 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8877 loss: 2.8877 2022/06/29 15:25:15 - mmengine - INFO - Epoch(train) [5][1960/3757] lr: 1.000e-02 eta: 1 day, 3:41:10 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 5.7615 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9263 loss: 2.9263 2022/06/29 15:25:18 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 15:25:20 - mmengine - INFO - Epoch(train) [5][1980/3757] lr: 1.000e-02 eta: 1 day, 3:40:58 time: 0.249 data_time: 0.005 memory: 6404 grad_norm: 5.4575 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6233 loss: 2.6233 2022/06/29 15:25:27 - mmengine - INFO - Epoch(train) [5][2000/3757] lr: 1.000e-02 eta: 1 day, 3:41:11 time: 0.332 data_time: 0.007 memory: 6404 grad_norm: 5.5123 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4192 loss: 2.4192 2022/06/29 15:25:32 - mmengine - INFO - Epoch(train) [5][2020/3757] lr: 1.000e-02 eta: 1 day, 3:40:58 time: 0.260 data_time: 0.024 memory: 6404 grad_norm: 5.6179 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4902 loss: 2.4902 2022/06/29 15:25:37 - mmengine - INFO - Epoch(train) [5][2040/3757] lr: 1.000e-02 eta: 1 day, 3:40:41 time: 0.275 data_time: 0.011 memory: 6404 grad_norm: 5.8454 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6652 loss: 2.6652 2022/06/29 15:25:42 - mmengine - INFO - Epoch(train) [5][2060/3757] lr: 1.000e-02 eta: 1 day, 3:40:24 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 5.8031 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4617 loss: 2.4617 2022/06/29 15:25:47 - mmengine - INFO - Epoch(train) [5][2080/3757] lr: 1.000e-02 eta: 1 day, 3:40:07 time: 0.289 data_time: 0.008 memory: 6404 grad_norm: 6.4869 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2969 loss: 2.2969 2022/06/29 15:25:52 - mmengine - INFO - Epoch(train) [5][2100/3757] lr: 1.000e-02 eta: 1 day, 3:39:54 time: 0.239 data_time: 0.006 memory: 6404 grad_norm: 6.0168 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4369 loss: 2.4369 2022/06/29 15:26:00 - mmengine - INFO - Epoch(train) [5][2120/3757] lr: 1.000e-02 eta: 1 day, 3:40:52 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 6.7480 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5354 loss: 2.5354 2022/06/29 15:26:05 - mmengine - INFO - Epoch(train) [5][2140/3757] lr: 1.000e-02 eta: 1 day, 3:40:36 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.9525 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.0918 loss: 3.0918 2022/06/29 15:26:10 - mmengine - INFO - Epoch(train) [5][2160/3757] lr: 1.000e-02 eta: 1 day, 3:40:17 time: 0.232 data_time: 0.008 memory: 6404 grad_norm: 6.3701 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6753 loss: 2.6753 2022/06/29 15:26:15 - mmengine - INFO - Epoch(train) [5][2180/3757] lr: 1.000e-02 eta: 1 day, 3:40:01 time: 0.263 data_time: 0.008 memory: 6404 grad_norm: 6.6104 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6811 loss: 2.6811 2022/06/29 15:26:21 - mmengine - INFO - Epoch(train) [5][2200/3757] lr: 1.000e-02 eta: 1 day, 3:40:04 time: 0.280 data_time: 0.006 memory: 6404 grad_norm: 6.0457 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6392 loss: 2.6392 2022/06/29 15:26:27 - mmengine - INFO - Epoch(train) [5][2220/3757] lr: 1.000e-02 eta: 1 day, 3:39:57 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 4.9733 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7725 loss: 2.7725 2022/06/29 15:26:32 - mmengine - INFO - Epoch(train) [5][2240/3757] lr: 1.000e-02 eta: 1 day, 3:39:48 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 6.1583 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8772 loss: 2.8772 2022/06/29 15:26:37 - mmengine - INFO - Epoch(train) [5][2260/3757] lr: 1.000e-02 eta: 1 day, 3:39:33 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 6.0577 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8510 loss: 2.8510 2022/06/29 15:26:44 - mmengine - INFO - Epoch(train) [5][2280/3757] lr: 1.000e-02 eta: 1 day, 3:39:46 time: 0.280 data_time: 0.007 memory: 6404 grad_norm: 6.4868 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6970 loss: 2.6970 2022/06/29 15:26:49 - mmengine - INFO - Epoch(train) [5][2300/3757] lr: 1.000e-02 eta: 1 day, 3:39:36 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.3543 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4196 loss: 2.4196 2022/06/29 15:26:55 - mmengine - INFO - Epoch(train) [5][2320/3757] lr: 1.000e-02 eta: 1 day, 3:39:34 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 5.6927 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6955 loss: 2.6955 2022/06/29 15:27:00 - mmengine - INFO - Epoch(train) [5][2340/3757] lr: 1.000e-02 eta: 1 day, 3:39:19 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.4079 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9018 loss: 2.9018 2022/06/29 15:27:05 - mmengine - INFO - Epoch(train) [5][2360/3757] lr: 1.000e-02 eta: 1 day, 3:39:02 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.2500 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4199 loss: 2.4199 2022/06/29 15:27:11 - mmengine - INFO - Epoch(train) [5][2380/3757] lr: 1.000e-02 eta: 1 day, 3:38:59 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.8322 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1357 loss: 2.1357 2022/06/29 15:27:16 - mmengine - INFO - Epoch(train) [5][2400/3757] lr: 1.000e-02 eta: 1 day, 3:38:49 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.4775 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6311 loss: 2.6311 2022/06/29 15:27:22 - mmengine - INFO - Epoch(train) [5][2420/3757] lr: 1.000e-02 eta: 1 day, 3:38:47 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 5.7778 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 2.4527 loss: 2.4527 2022/06/29 15:27:28 - mmengine - INFO - Epoch(train) [5][2440/3757] lr: 1.000e-02 eta: 1 day, 3:38:46 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.3027 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1813 loss: 2.1813 2022/06/29 15:27:33 - mmengine - INFO - Epoch(train) [5][2460/3757] lr: 1.000e-02 eta: 1 day, 3:38:35 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.9501 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7252 loss: 2.7252 2022/06/29 15:27:38 - mmengine - INFO - Epoch(train) [5][2480/3757] lr: 1.000e-02 eta: 1 day, 3:38:27 time: 0.246 data_time: 0.014 memory: 6404 grad_norm: 5.6463 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6585 loss: 2.6585 2022/06/29 15:27:44 - mmengine - INFO - Epoch(train) [5][2500/3757] lr: 1.000e-02 eta: 1 day, 3:38:18 time: 0.279 data_time: 0.008 memory: 6404 grad_norm: 5.8013 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7450 loss: 2.7450 2022/06/29 15:27:49 - mmengine - INFO - Epoch(train) [5][2520/3757] lr: 1.000e-02 eta: 1 day, 3:38:07 time: 0.240 data_time: 0.007 memory: 6404 grad_norm: 5.8836 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4246 loss: 2.4246 2022/06/29 15:27:55 - mmengine - INFO - Epoch(train) [5][2540/3757] lr: 1.000e-02 eta: 1 day, 3:38:11 time: 0.249 data_time: 0.018 memory: 6404 grad_norm: 5.5110 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3432 loss: 2.3432 2022/06/29 15:28:00 - mmengine - INFO - Epoch(train) [5][2560/3757] lr: 1.000e-02 eta: 1 day, 3:37:56 time: 0.242 data_time: 0.011 memory: 6404 grad_norm: 5.5527 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2637 loss: 2.2637 2022/06/29 15:28:06 - mmengine - INFO - Epoch(train) [5][2580/3757] lr: 1.000e-02 eta: 1 day, 3:37:52 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.4586 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9080 loss: 2.9080 2022/06/29 15:28:11 - mmengine - INFO - Epoch(train) [5][2600/3757] lr: 1.000e-02 eta: 1 day, 3:37:39 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 6.1321 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5429 loss: 2.5429 2022/06/29 15:28:17 - mmengine - INFO - Epoch(train) [5][2620/3757] lr: 1.000e-02 eta: 1 day, 3:37:35 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.6332 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5462 loss: 2.5462 2022/06/29 15:28:22 - mmengine - INFO - Epoch(train) [5][2640/3757] lr: 1.000e-02 eta: 1 day, 3:37:21 time: 0.260 data_time: 0.006 memory: 6404 grad_norm: 5.5195 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6644 loss: 2.6644 2022/06/29 15:28:27 - mmengine - INFO - Epoch(train) [5][2660/3757] lr: 1.000e-02 eta: 1 day, 3:37:14 time: 0.241 data_time: 0.016 memory: 6404 grad_norm: 5.3603 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9318 loss: 2.9318 2022/06/29 15:28:33 - mmengine - INFO - Epoch(train) [5][2680/3757] lr: 1.000e-02 eta: 1 day, 3:37:19 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.9865 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3793 loss: 2.3793 2022/06/29 15:28:38 - mmengine - INFO - Epoch(train) [5][2700/3757] lr: 1.000e-02 eta: 1 day, 3:37:04 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.1704 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1547 loss: 2.1547 2022/06/29 15:28:44 - mmengine - INFO - Epoch(train) [5][2720/3757] lr: 1.000e-02 eta: 1 day, 3:36:56 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 5.7944 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0233 loss: 3.0233 2022/06/29 15:28:51 - mmengine - INFO - Epoch(train) [5][2740/3757] lr: 1.000e-02 eta: 1 day, 3:37:29 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.4156 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8773 loss: 2.8773 2022/06/29 15:28:56 - mmengine - INFO - Epoch(train) [5][2760/3757] lr: 1.000e-02 eta: 1 day, 3:37:12 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.2661 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1090 loss: 2.1090 2022/06/29 15:29:01 - mmengine - INFO - Epoch(train) [5][2780/3757] lr: 1.000e-02 eta: 1 day, 3:36:56 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 6.0585 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9522 loss: 2.9522 2022/06/29 15:29:06 - mmengine - INFO - Epoch(train) [5][2800/3757] lr: 1.000e-02 eta: 1 day, 3:36:41 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 6.0811 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3063 loss: 2.3063 2022/06/29 15:29:13 - mmengine - INFO - Epoch(train) [5][2820/3757] lr: 1.000e-02 eta: 1 day, 3:37:04 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 6.2391 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5821 loss: 2.5821 2022/06/29 15:29:18 - mmengine - INFO - Epoch(train) [5][2840/3757] lr: 1.000e-02 eta: 1 day, 3:36:49 time: 0.248 data_time: 0.057 memory: 6404 grad_norm: 5.7600 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2031 loss: 2.2031 2022/06/29 15:29:24 - mmengine - INFO - Epoch(train) [5][2860/3757] lr: 1.000e-02 eta: 1 day, 3:36:35 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 6.0599 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0166 loss: 3.0166 2022/06/29 15:29:29 - mmengine - INFO - Epoch(train) [5][2880/3757] lr: 1.000e-02 eta: 1 day, 3:36:18 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.7424 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6152 loss: 2.6152 2022/06/29 15:29:34 - mmengine - INFO - Epoch(train) [5][2900/3757] lr: 1.000e-02 eta: 1 day, 3:36:01 time: 0.251 data_time: 0.020 memory: 6404 grad_norm: 5.8817 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6574 loss: 2.6574 2022/06/29 15:29:39 - mmengine - INFO - Epoch(train) [5][2920/3757] lr: 1.000e-02 eta: 1 day, 3:35:45 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 5.4356 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6324 loss: 2.6324 2022/06/29 15:29:44 - mmengine - INFO - Epoch(train) [5][2940/3757] lr: 1.000e-02 eta: 1 day, 3:35:45 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 5.6838 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5665 loss: 2.5665 2022/06/29 15:29:50 - mmengine - INFO - Epoch(train) [5][2960/3757] lr: 1.000e-02 eta: 1 day, 3:35:38 time: 0.248 data_time: 0.044 memory: 6404 grad_norm: 5.4842 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.6806 loss: 2.6806 2022/06/29 15:29:53 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 15:29:55 - mmengine - INFO - Epoch(train) [5][2980/3757] lr: 1.000e-02 eta: 1 day, 3:35:31 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 5.7418 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5665 loss: 2.5665 2022/06/29 15:30:01 - mmengine - INFO - Epoch(train) [5][3000/3757] lr: 1.000e-02 eta: 1 day, 3:35:30 time: 0.260 data_time: 0.006 memory: 6404 grad_norm: 6.2282 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9263 loss: 2.9263 2022/06/29 15:30:09 - mmengine - INFO - Epoch(train) [5][3020/3757] lr: 1.000e-02 eta: 1 day, 3:36:13 time: 0.255 data_time: 0.018 memory: 6404 grad_norm: 6.1135 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7685 loss: 2.7685 2022/06/29 15:30:15 - mmengine - INFO - Epoch(train) [5][3040/3757] lr: 1.000e-02 eta: 1 day, 3:36:08 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 5.2648 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7567 loss: 2.7567 2022/06/29 15:30:20 - mmengine - INFO - Epoch(train) [5][3060/3757] lr: 1.000e-02 eta: 1 day, 3:36:04 time: 0.487 data_time: 0.008 memory: 6404 grad_norm: 6.0544 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3952 loss: 2.3952 2022/06/29 15:30:26 - mmengine - INFO - Epoch(train) [5][3080/3757] lr: 1.000e-02 eta: 1 day, 3:35:57 time: 0.243 data_time: 0.024 memory: 6404 grad_norm: 5.0425 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9459 loss: 2.9459 2022/06/29 15:30:31 - mmengine - INFO - Epoch(train) [5][3100/3757] lr: 1.000e-02 eta: 1 day, 3:35:43 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 5.1492 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5740 loss: 2.5740 2022/06/29 15:30:37 - mmengine - INFO - Epoch(train) [5][3120/3757] lr: 1.000e-02 eta: 1 day, 3:35:41 time: 0.266 data_time: 0.010 memory: 6404 grad_norm: 5.8099 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8883 loss: 2.8883 2022/06/29 15:30:42 - mmengine - INFO - Epoch(train) [5][3140/3757] lr: 1.000e-02 eta: 1 day, 3:35:38 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 6.1406 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4924 loss: 2.4924 2022/06/29 15:30:48 - mmengine - INFO - Epoch(train) [5][3160/3757] lr: 1.000e-02 eta: 1 day, 3:35:23 time: 0.241 data_time: 0.006 memory: 6404 grad_norm: 5.8865 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5585 loss: 2.5585 2022/06/29 15:30:54 - mmengine - INFO - Epoch(train) [5][3180/3757] lr: 1.000e-02 eta: 1 day, 3:35:34 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 5.5808 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1715 loss: 2.1715 2022/06/29 15:30:59 - mmengine - INFO - Epoch(train) [5][3200/3757] lr: 1.000e-02 eta: 1 day, 3:35:20 time: 0.289 data_time: 0.007 memory: 6404 grad_norm: 6.0043 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9483 loss: 2.9483 2022/06/29 15:31:04 - mmengine - INFO - Epoch(train) [5][3220/3757] lr: 1.000e-02 eta: 1 day, 3:35:08 time: 0.273 data_time: 0.006 memory: 6404 grad_norm: 5.5312 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3050 loss: 2.3050 2022/06/29 15:31:09 - mmengine - INFO - Epoch(train) [5][3240/3757] lr: 1.000e-02 eta: 1 day, 3:34:52 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.2328 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6951 loss: 2.6951 2022/06/29 15:31:14 - mmengine - INFO - Epoch(train) [5][3260/3757] lr: 1.000e-02 eta: 1 day, 3:34:35 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 5.5128 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7122 loss: 2.7122 2022/06/29 15:31:19 - mmengine - INFO - Epoch(train) [5][3280/3757] lr: 1.000e-02 eta: 1 day, 3:34:23 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.2641 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7116 loss: 2.7116 2022/06/29 15:31:25 - mmengine - INFO - Epoch(train) [5][3300/3757] lr: 1.000e-02 eta: 1 day, 3:34:09 time: 0.240 data_time: 0.007 memory: 6404 grad_norm: 5.3169 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7178 loss: 2.7178 2022/06/29 15:31:30 - mmengine - INFO - Epoch(train) [5][3320/3757] lr: 1.000e-02 eta: 1 day, 3:33:59 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.5795 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1038 loss: 3.1038 2022/06/29 15:31:36 - mmengine - INFO - Epoch(train) [5][3340/3757] lr: 1.000e-02 eta: 1 day, 3:34:04 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.7683 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.6760 loss: 2.6760 2022/06/29 15:31:42 - mmengine - INFO - Epoch(train) [5][3360/3757] lr: 1.000e-02 eta: 1 day, 3:34:01 time: 0.245 data_time: 0.009 memory: 6404 grad_norm: 5.0658 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6874 loss: 2.6874 2022/06/29 15:31:47 - mmengine - INFO - Epoch(train) [5][3380/3757] lr: 1.000e-02 eta: 1 day, 3:33:45 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.6608 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9964 loss: 1.9964 2022/06/29 15:31:54 - mmengine - INFO - Epoch(train) [5][3400/3757] lr: 1.000e-02 eta: 1 day, 3:34:08 time: 0.249 data_time: 0.005 memory: 6404 grad_norm: 5.7730 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5555 loss: 2.5555 2022/06/29 15:31:59 - mmengine - INFO - Epoch(train) [5][3420/3757] lr: 1.000e-02 eta: 1 day, 3:33:53 time: 0.246 data_time: 0.020 memory: 6404 grad_norm: 6.0169 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5295 loss: 2.5295 2022/06/29 15:32:04 - mmengine - INFO - Epoch(train) [5][3440/3757] lr: 1.000e-02 eta: 1 day, 3:33:47 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 5.2186 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1292 loss: 3.1292 2022/06/29 15:32:09 - mmengine - INFO - Epoch(train) [5][3460/3757] lr: 1.000e-02 eta: 1 day, 3:33:31 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.2455 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5612 loss: 2.5612 2022/06/29 15:32:15 - mmengine - INFO - Epoch(train) [5][3480/3757] lr: 1.000e-02 eta: 1 day, 3:33:21 time: 0.248 data_time: 0.015 memory: 6404 grad_norm: 6.5850 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8593 loss: 2.8593 2022/06/29 15:32:22 - mmengine - INFO - Epoch(train) [5][3500/3757] lr: 1.000e-02 eta: 1 day, 3:33:52 time: 0.547 data_time: 0.011 memory: 6404 grad_norm: 5.8906 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6750 loss: 2.6750 2022/06/29 15:32:27 - mmengine - INFO - Epoch(train) [5][3520/3757] lr: 1.000e-02 eta: 1 day, 3:33:37 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.2167 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2094 loss: 2.2094 2022/06/29 15:32:32 - mmengine - INFO - Epoch(train) [5][3540/3757] lr: 1.000e-02 eta: 1 day, 3:33:22 time: 0.269 data_time: 0.077 memory: 6404 grad_norm: 5.7101 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3867 loss: 2.3867 2022/06/29 15:32:37 - mmengine - INFO - Epoch(train) [5][3560/3757] lr: 1.000e-02 eta: 1 day, 3:33:07 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 6.2636 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2582 loss: 2.2582 2022/06/29 15:32:43 - mmengine - INFO - Epoch(train) [5][3580/3757] lr: 1.000e-02 eta: 1 day, 3:32:53 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 5.7338 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4759 loss: 2.4759 2022/06/29 15:32:48 - mmengine - INFO - Epoch(train) [5][3600/3757] lr: 1.000e-02 eta: 1 day, 3:32:43 time: 0.248 data_time: 0.039 memory: 6404 grad_norm: 5.3820 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5528 loss: 2.5528 2022/06/29 15:32:53 - mmengine - INFO - Epoch(train) [5][3620/3757] lr: 1.000e-02 eta: 1 day, 3:32:37 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.5274 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7700 loss: 2.7700 2022/06/29 15:32:59 - mmengine - INFO - Epoch(train) [5][3640/3757] lr: 1.000e-02 eta: 1 day, 3:32:39 time: 0.240 data_time: 0.007 memory: 6404 grad_norm: 6.2680 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4976 loss: 2.4976 2022/06/29 15:33:05 - mmengine - INFO - Epoch(train) [5][3660/3757] lr: 1.000e-02 eta: 1 day, 3:32:32 time: 0.306 data_time: 0.039 memory: 6404 grad_norm: 5.6207 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8043 loss: 2.8043 2022/06/29 15:33:10 - mmengine - INFO - Epoch(train) [5][3680/3757] lr: 1.000e-02 eta: 1 day, 3:32:23 time: 0.270 data_time: 0.010 memory: 6404 grad_norm: 5.1458 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3343 loss: 2.3343 2022/06/29 15:33:16 - mmengine - INFO - Epoch(train) [5][3700/3757] lr: 1.000e-02 eta: 1 day, 3:32:17 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.2457 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3233 loss: 2.3233 2022/06/29 15:33:22 - mmengine - INFO - Epoch(train) [5][3720/3757] lr: 1.000e-02 eta: 1 day, 3:32:29 time: 1.365 data_time: 1.178 memory: 6404 grad_norm: 5.0862 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5712 loss: 2.5712 2022/06/29 15:33:28 - mmengine - INFO - Epoch(train) [5][3740/3757] lr: 1.000e-02 eta: 1 day, 3:32:21 time: 0.229 data_time: 0.007 memory: 6404 grad_norm: 5.9444 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5735 loss: 2.5735 2022/06/29 15:33:32 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 15:33:32 - mmengine - INFO - Saving checkpoint at 5 epochs 2022/06/29 15:33:43 - mmengine - INFO - Epoch(val) [5][20/310] eta: 0:01:26 time: 0.081 data_time: 0.006 memory: 6404 2022/06/29 15:33:49 - mmengine - INFO - Epoch(val) [5][40/310] eta: 0:01:21 time: 0.218 data_time: 0.133 memory: 1479 2022/06/29 15:33:52 - mmengine - INFO - Epoch(val) [5][60/310] eta: 0:00:27 time: 0.080 data_time: 0.005 memory: 1479 2022/06/29 15:34:00 - mmengine - INFO - Epoch(val) [5][80/310] eta: 0:01:41 time: 0.082 data_time: 0.007 memory: 1479 2022/06/29 15:34:06 - mmengine - INFO - Epoch(val) [5][100/310] eta: 0:01:00 time: 0.090 data_time: 0.012 memory: 1479 2022/06/29 15:34:09 - mmengine - INFO - Epoch(val) [5][120/310] eta: 0:00:15 time: 0.080 data_time: 0.005 memory: 1479 2022/06/29 15:34:15 - mmengine - INFO - Epoch(val) [5][140/310] eta: 0:00:49 time: 0.086 data_time: 0.008 memory: 1479 2022/06/29 15:34:21 - mmengine - INFO - Epoch(val) [5][160/310] eta: 0:00:43 time: 1.018 data_time: 0.937 memory: 1479 2022/06/29 15:34:25 - mmengine - INFO - Epoch(val) [5][180/310] eta: 0:00:26 time: 0.087 data_time: 0.009 memory: 1479 2022/06/29 15:34:31 - mmengine - INFO - Epoch(val) [5][200/310] eta: 0:00:31 time: 0.091 data_time: 0.007 memory: 1479 2022/06/29 15:34:36 - mmengine - INFO - Epoch(val) [5][220/310] eta: 0:00:25 time: 0.929 data_time: 0.852 memory: 1479 2022/06/29 15:34:40 - mmengine - INFO - Epoch(val) [5][240/310] eta: 0:00:13 time: 0.080 data_time: 0.005 memory: 1479 2022/06/29 15:34:46 - mmengine - INFO - Epoch(val) [5][260/310] eta: 0:00:15 time: 0.082 data_time: 0.007 memory: 1479 2022/06/29 15:34:51 - mmengine - INFO - Epoch(val) [5][280/310] eta: 0:00:07 time: 0.230 data_time: 0.154 memory: 1479 2022/06/29 15:34:53 - mmengine - INFO - Epoch(val) [5][300/310] eta: 0:00:01 time: 0.076 data_time: 0.005 memory: 1479 2022/06/29 15:34:59 - mmengine - INFO - Epoch(val) [5][310/310] acc/top1: 0.4575 acc/top5: 0.7248 acc/mean1: 0.4575 2022/06/29 15:35:09 - mmengine - INFO - Epoch(train) [6][20/3757] lr: 1.000e-02 eta: 1 day, 3:32:43 time: 0.241 data_time: 0.008 memory: 6404 grad_norm: 5.5256 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8552 loss: 2.8552 2022/06/29 15:35:15 - mmengine - INFO - Epoch(train) [6][40/3757] lr: 1.000e-02 eta: 1 day, 3:32:39 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 6.6435 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5974 loss: 2.5974 2022/06/29 15:35:20 - mmengine - INFO - Epoch(train) [6][60/3757] lr: 1.000e-02 eta: 1 day, 3:32:27 time: 0.239 data_time: 0.009 memory: 6404 grad_norm: 5.9027 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5803 loss: 2.5803 2022/06/29 15:35:26 - mmengine - INFO - Epoch(train) [6][80/3757] lr: 1.000e-02 eta: 1 day, 3:32:24 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 5.8327 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5285 loss: 2.5285 2022/06/29 15:35:31 - mmengine - INFO - Epoch(train) [6][100/3757] lr: 1.000e-02 eta: 1 day, 3:32:11 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 6.5106 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6055 loss: 2.6055 2022/06/29 15:35:36 - mmengine - INFO - Epoch(train) [6][120/3757] lr: 1.000e-02 eta: 1 day, 3:31:59 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 5.4968 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9271 loss: 2.9271 2022/06/29 15:35:42 - mmengine - INFO - Epoch(train) [6][140/3757] lr: 1.000e-02 eta: 1 day, 3:32:01 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 5.9749 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4307 loss: 2.4307 2022/06/29 15:35:47 - mmengine - INFO - Epoch(train) [6][160/3757] lr: 1.000e-02 eta: 1 day, 3:31:45 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 6.5137 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6863 loss: 2.6863 2022/06/29 15:35:53 - mmengine - INFO - Epoch(train) [6][180/3757] lr: 1.000e-02 eta: 1 day, 3:31:39 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.1570 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2114 loss: 2.2114 2022/06/29 15:35:59 - mmengine - INFO - Epoch(train) [6][200/3757] lr: 1.000e-02 eta: 1 day, 3:31:52 time: 0.241 data_time: 0.006 memory: 6404 grad_norm: 6.0956 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5880 loss: 2.5880 2022/06/29 15:36:03 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 15:36:04 - mmengine - INFO - Epoch(train) [6][220/3757] lr: 1.000e-02 eta: 1 day, 3:31:37 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.6016 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1345 loss: 2.1345 2022/06/29 15:36:10 - mmengine - INFO - Epoch(train) [6][240/3757] lr: 1.000e-02 eta: 1 day, 3:31:28 time: 0.241 data_time: 0.007 memory: 6404 grad_norm: 5.9934 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6885 loss: 2.6885 2022/06/29 15:36:15 - mmengine - INFO - Epoch(train) [6][260/3757] lr: 1.000e-02 eta: 1 day, 3:31:17 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.3476 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4365 loss: 2.4365 2022/06/29 15:36:21 - mmengine - INFO - Epoch(train) [6][280/3757] lr: 1.000e-02 eta: 1 day, 3:31:24 time: 0.264 data_time: 0.006 memory: 6404 grad_norm: 5.7441 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9114 loss: 2.9114 2022/06/29 15:36:26 - mmengine - INFO - Epoch(train) [6][300/3757] lr: 1.000e-02 eta: 1 day, 3:31:09 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 5.2975 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3782 loss: 2.3782 2022/06/29 15:36:33 - mmengine - INFO - Epoch(train) [6][320/3757] lr: 1.000e-02 eta: 1 day, 3:31:32 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 5.4466 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5281 loss: 2.5281 2022/06/29 15:36:38 - mmengine - INFO - Epoch(train) [6][340/3757] lr: 1.000e-02 eta: 1 day, 3:31:17 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.5380 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2036 loss: 2.2036 2022/06/29 15:36:44 - mmengine - INFO - Epoch(train) [6][360/3757] lr: 1.000e-02 eta: 1 day, 3:31:04 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 6.0963 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6136 loss: 2.6136 2022/06/29 15:36:49 - mmengine - INFO - Epoch(train) [6][380/3757] lr: 1.000e-02 eta: 1 day, 3:30:55 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 4.9081 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7586 loss: 2.7586 2022/06/29 15:36:58 - mmengine - INFO - Epoch(train) [6][400/3757] lr: 1.000e-02 eta: 1 day, 3:31:56 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 5.3882 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2556 loss: 2.2556 2022/06/29 15:37:03 - mmengine - INFO - Epoch(train) [6][420/3757] lr: 1.000e-02 eta: 1 day, 3:31:41 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 6.1064 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1682 loss: 3.1682 2022/06/29 15:37:08 - mmengine - INFO - Epoch(train) [6][440/3757] lr: 1.000e-02 eta: 1 day, 3:31:27 time: 0.237 data_time: 0.014 memory: 6404 grad_norm: 5.6347 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2780 loss: 2.2780 2022/06/29 15:37:16 - mmengine - INFO - Epoch(train) [6][460/3757] lr: 1.000e-02 eta: 1 day, 3:31:54 time: 0.247 data_time: 0.016 memory: 6404 grad_norm: 5.9091 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5706 loss: 2.5706 2022/06/29 15:37:21 - mmengine - INFO - Epoch(train) [6][480/3757] lr: 1.000e-02 eta: 1 day, 3:31:38 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.3942 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8891 loss: 2.8891 2022/06/29 15:37:26 - mmengine - INFO - Epoch(train) [6][500/3757] lr: 1.000e-02 eta: 1 day, 3:31:24 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.7287 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4244 loss: 2.4244 2022/06/29 15:37:31 - mmengine - INFO - Epoch(train) [6][520/3757] lr: 1.000e-02 eta: 1 day, 3:31:07 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 5.9986 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2661 loss: 2.2661 2022/06/29 15:37:36 - mmengine - INFO - Epoch(train) [6][540/3757] lr: 1.000e-02 eta: 1 day, 3:30:54 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 5.4462 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1476 loss: 2.1476 2022/06/29 15:37:42 - mmengine - INFO - Epoch(train) [6][560/3757] lr: 1.000e-02 eta: 1 day, 3:30:52 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 5.0836 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7492 loss: 2.7492 2022/06/29 15:37:48 - mmengine - INFO - Epoch(train) [6][580/3757] lr: 1.000e-02 eta: 1 day, 3:30:54 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 5.1265 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5063 loss: 2.5063 2022/06/29 15:37:53 - mmengine - INFO - Epoch(train) [6][600/3757] lr: 1.000e-02 eta: 1 day, 3:30:43 time: 0.265 data_time: 0.006 memory: 6404 grad_norm: 6.2566 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9711 loss: 2.9711 2022/06/29 15:37:58 - mmengine - INFO - Epoch(train) [6][620/3757] lr: 1.000e-02 eta: 1 day, 3:30:36 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.8017 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0864 loss: 2.0864 2022/06/29 15:38:04 - mmengine - INFO - Epoch(train) [6][640/3757] lr: 1.000e-02 eta: 1 day, 3:30:32 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.9072 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.5101 loss: 2.5101 2022/06/29 15:38:09 - mmengine - INFO - Epoch(train) [6][660/3757] lr: 1.000e-02 eta: 1 day, 3:30:18 time: 0.262 data_time: 0.006 memory: 6404 grad_norm: 5.7642 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6677 loss: 2.6677 2022/06/29 15:38:14 - mmengine - INFO - Epoch(train) [6][680/3757] lr: 1.000e-02 eta: 1 day, 3:30:05 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.7902 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4675 loss: 2.4675 2022/06/29 15:38:20 - mmengine - INFO - Epoch(train) [6][700/3757] lr: 1.000e-02 eta: 1 day, 3:30:03 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.4915 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3107 loss: 2.3107 2022/06/29 15:38:27 - mmengine - INFO - Epoch(train) [6][720/3757] lr: 1.000e-02 eta: 1 day, 3:30:17 time: 0.267 data_time: 0.006 memory: 6404 grad_norm: 6.1395 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6179 loss: 2.6179 2022/06/29 15:38:32 - mmengine - INFO - Epoch(train) [6][740/3757] lr: 1.000e-02 eta: 1 day, 3:30:01 time: 0.252 data_time: 0.027 memory: 6404 grad_norm: 6.3396 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8885 loss: 2.8885 2022/06/29 15:38:37 - mmengine - INFO - Epoch(train) [6][760/3757] lr: 1.000e-02 eta: 1 day, 3:29:48 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.6338 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0403 loss: 2.0403 2022/06/29 15:38:42 - mmengine - INFO - Epoch(train) [6][780/3757] lr: 1.000e-02 eta: 1 day, 3:29:35 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 5.9122 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9670 loss: 1.9670 2022/06/29 15:38:47 - mmengine - INFO - Epoch(train) [6][800/3757] lr: 1.000e-02 eta: 1 day, 3:29:20 time: 0.243 data_time: 0.009 memory: 6404 grad_norm: 5.8153 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1278 loss: 3.1278 2022/06/29 15:38:52 - mmengine - INFO - Epoch(train) [6][820/3757] lr: 1.000e-02 eta: 1 day, 3:29:05 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.3327 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6670 loss: 2.6670 2022/06/29 15:38:57 - mmengine - INFO - Epoch(train) [6][840/3757] lr: 1.000e-02 eta: 1 day, 3:28:53 time: 0.240 data_time: 0.021 memory: 6404 grad_norm: 5.6038 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.1391 loss: 3.1391 2022/06/29 15:39:03 - mmengine - INFO - Epoch(train) [6][860/3757] lr: 1.000e-02 eta: 1 day, 3:28:49 time: 0.257 data_time: 0.015 memory: 6404 grad_norm: 5.1826 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0723 loss: 2.0723 2022/06/29 15:39:08 - mmengine - INFO - Epoch(train) [6][880/3757] lr: 1.000e-02 eta: 1 day, 3:28:44 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.4501 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2738 loss: 2.2738 2022/06/29 15:39:14 - mmengine - INFO - Epoch(train) [6][900/3757] lr: 1.000e-02 eta: 1 day, 3:28:40 time: 0.245 data_time: 0.021 memory: 6404 grad_norm: 5.8831 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1858 loss: 2.1858 2022/06/29 15:39:19 - mmengine - INFO - Epoch(train) [6][920/3757] lr: 1.000e-02 eta: 1 day, 3:28:31 time: 0.238 data_time: 0.010 memory: 6404 grad_norm: 5.8851 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8979 loss: 2.8979 2022/06/29 15:39:25 - mmengine - INFO - Epoch(train) [6][940/3757] lr: 1.000e-02 eta: 1 day, 3:28:26 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.5970 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0419 loss: 3.0419 2022/06/29 15:39:30 - mmengine - INFO - Epoch(train) [6][960/3757] lr: 1.000e-02 eta: 1 day, 3:28:18 time: 0.245 data_time: 0.019 memory: 6404 grad_norm: 6.4712 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1665 loss: 3.1665 2022/06/29 15:39:38 - mmengine - INFO - Epoch(train) [6][980/3757] lr: 1.000e-02 eta: 1 day, 3:28:54 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.2699 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4410 loss: 2.4410 2022/06/29 15:39:43 - mmengine - INFO - Epoch(train) [6][1000/3757] lr: 1.000e-02 eta: 1 day, 3:28:39 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 5.5341 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5135 loss: 2.5135 2022/06/29 15:39:48 - mmengine - INFO - Epoch(train) [6][1020/3757] lr: 1.000e-02 eta: 1 day, 3:28:25 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 6.2011 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3222 loss: 2.3222 2022/06/29 15:39:53 - mmengine - INFO - Epoch(train) [6][1040/3757] lr: 1.000e-02 eta: 1 day, 3:28:11 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 5.3330 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6990 loss: 2.6990 2022/06/29 15:39:58 - mmengine - INFO - Epoch(train) [6][1060/3757] lr: 1.000e-02 eta: 1 day, 3:27:55 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 6.1144 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4137 loss: 2.4137 2022/06/29 15:40:03 - mmengine - INFO - Epoch(train) [6][1080/3757] lr: 1.000e-02 eta: 1 day, 3:27:39 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 6.0720 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2333 loss: 2.2333 2022/06/29 15:40:09 - mmengine - INFO - Epoch(train) [6][1100/3757] lr: 1.000e-02 eta: 1 day, 3:27:30 time: 0.314 data_time: 0.016 memory: 6404 grad_norm: 5.7722 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4638 loss: 2.4638 2022/06/29 15:40:19 - mmengine - INFO - Epoch(train) [6][1120/3757] lr: 1.000e-02 eta: 1 day, 3:28:45 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 5.0160 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4605 loss: 2.4605 2022/06/29 15:40:24 - mmengine - INFO - Epoch(train) [6][1140/3757] lr: 1.000e-02 eta: 1 day, 3:28:32 time: 0.247 data_time: 0.015 memory: 6404 grad_norm: 5.8167 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8295 loss: 2.8295 2022/06/29 15:40:29 - mmengine - INFO - Epoch(train) [6][1160/3757] lr: 1.000e-02 eta: 1 day, 3:28:19 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.8233 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.6792 loss: 2.6792 2022/06/29 15:40:34 - mmengine - INFO - Epoch(train) [6][1180/3757] lr: 1.000e-02 eta: 1 day, 3:28:04 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.0619 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1923 loss: 2.1923 2022/06/29 15:40:39 - mmengine - INFO - Epoch(train) [6][1200/3757] lr: 1.000e-02 eta: 1 day, 3:27:48 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.7998 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0886 loss: 3.0886 2022/06/29 15:40:44 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 15:40:45 - mmengine - INFO - Epoch(train) [6][1220/3757] lr: 1.000e-02 eta: 1 day, 3:27:46 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 5.1435 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2765 loss: 2.2765 2022/06/29 15:40:51 - mmengine - INFO - Epoch(train) [6][1240/3757] lr: 1.000e-02 eta: 1 day, 3:27:46 time: 0.239 data_time: 0.010 memory: 6404 grad_norm: 5.6349 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0887 loss: 2.0887 2022/06/29 15:40:56 - mmengine - INFO - Epoch(train) [6][1260/3757] lr: 1.000e-02 eta: 1 day, 3:27:34 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 6.2851 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.6733 loss: 2.6733 2022/06/29 15:41:03 - mmengine - INFO - Epoch(train) [6][1280/3757] lr: 1.000e-02 eta: 1 day, 3:27:48 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 5.6317 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4116 loss: 2.4116 2022/06/29 15:41:08 - mmengine - INFO - Epoch(train) [6][1300/3757] lr: 1.000e-02 eta: 1 day, 3:27:33 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 5.9257 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3336 loss: 2.3336 2022/06/29 15:41:13 - mmengine - INFO - Epoch(train) [6][1320/3757] lr: 1.000e-02 eta: 1 day, 3:27:19 time: 0.292 data_time: 0.010 memory: 6404 grad_norm: 5.5607 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9138 loss: 2.9138 2022/06/29 15:41:18 - mmengine - INFO - Epoch(train) [6][1340/3757] lr: 1.000e-02 eta: 1 day, 3:27:05 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.8498 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5950 loss: 2.5950 2022/06/29 15:41:23 - mmengine - INFO - Epoch(train) [6][1360/3757] lr: 1.000e-02 eta: 1 day, 3:26:49 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 5.4835 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0938 loss: 3.0938 2022/06/29 15:41:28 - mmengine - INFO - Epoch(train) [6][1380/3757] lr: 1.000e-02 eta: 1 day, 3:26:37 time: 0.299 data_time: 0.103 memory: 6404 grad_norm: 5.8976 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6426 loss: 2.6426 2022/06/29 15:41:34 - mmengine - INFO - Epoch(train) [6][1400/3757] lr: 1.000e-02 eta: 1 day, 3:26:47 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 5.7230 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.7946 loss: 2.7946 2022/06/29 15:41:40 - mmengine - INFO - Epoch(train) [6][1420/3757] lr: 1.000e-02 eta: 1 day, 3:26:44 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.8040 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7640 loss: 2.7640 2022/06/29 15:41:45 - mmengine - INFO - Epoch(train) [6][1440/3757] lr: 1.000e-02 eta: 1 day, 3:26:30 time: 0.242 data_time: 0.010 memory: 6404 grad_norm: 5.9657 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7237 loss: 2.7237 2022/06/29 15:41:51 - mmengine - INFO - Epoch(train) [6][1460/3757] lr: 1.000e-02 eta: 1 day, 3:26:24 time: 0.249 data_time: 0.019 memory: 6404 grad_norm: 5.6116 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3832 loss: 2.3832 2022/06/29 15:41:56 - mmengine - INFO - Epoch(train) [6][1480/3757] lr: 1.000e-02 eta: 1 day, 3:26:14 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.3164 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3900 loss: 2.3900 2022/06/29 15:42:02 - mmengine - INFO - Epoch(train) [6][1500/3757] lr: 1.000e-02 eta: 1 day, 3:26:22 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.8272 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7995 loss: 2.7995 2022/06/29 15:42:08 - mmengine - INFO - Epoch(train) [6][1520/3757] lr: 1.000e-02 eta: 1 day, 3:26:10 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 6.4669 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3446 loss: 2.3446 2022/06/29 15:42:13 - mmengine - INFO - Epoch(train) [6][1540/3757] lr: 1.000e-02 eta: 1 day, 3:26:01 time: 0.388 data_time: 0.008 memory: 6404 grad_norm: 4.8640 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.9009 loss: 2.9009 2022/06/29 15:42:23 - mmengine - INFO - Epoch(train) [6][1560/3757] lr: 1.000e-02 eta: 1 day, 3:27:15 time: 0.245 data_time: 0.005 memory: 6404 grad_norm: 5.7707 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5839 loss: 2.5839 2022/06/29 15:42:28 - mmengine - INFO - Epoch(train) [6][1580/3757] lr: 1.000e-02 eta: 1 day, 3:27:02 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.5778 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6448 loss: 2.6448 2022/06/29 15:42:34 - mmengine - INFO - Epoch(train) [6][1600/3757] lr: 1.000e-02 eta: 1 day, 3:26:52 time: 0.247 data_time: 0.046 memory: 6404 grad_norm: 5.5898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7875 loss: 2.7875 2022/06/29 15:42:39 - mmengine - INFO - Epoch(train) [6][1620/3757] lr: 1.000e-02 eta: 1 day, 3:26:38 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 5.7264 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3718 loss: 2.3718 2022/06/29 15:42:44 - mmengine - INFO - Epoch(train) [6][1640/3757] lr: 1.000e-02 eta: 1 day, 3:26:22 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.6113 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3638 loss: 2.3638 2022/06/29 15:42:49 - mmengine - INFO - Epoch(train) [6][1660/3757] lr: 1.000e-02 eta: 1 day, 3:26:08 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 5.3490 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8016 loss: 2.8016 2022/06/29 15:42:54 - mmengine - INFO - Epoch(train) [6][1680/3757] lr: 1.000e-02 eta: 1 day, 3:25:57 time: 0.266 data_time: 0.006 memory: 6404 grad_norm: 5.6042 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5301 loss: 2.5301 2022/06/29 15:42:59 - mmengine - INFO - Epoch(train) [6][1700/3757] lr: 1.000e-02 eta: 1 day, 3:25:44 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.7189 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.1193 loss: 2.1193 2022/06/29 15:43:05 - mmengine - INFO - Epoch(train) [6][1720/3757] lr: 1.000e-02 eta: 1 day, 3:25:44 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.3130 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6003 loss: 2.6003 2022/06/29 15:43:11 - mmengine - INFO - Epoch(train) [6][1740/3757] lr: 1.000e-02 eta: 1 day, 3:25:42 time: 0.599 data_time: 0.009 memory: 6404 grad_norm: 5.7228 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9333 loss: 1.9333 2022/06/29 15:43:16 - mmengine - INFO - Epoch(train) [6][1760/3757] lr: 1.000e-02 eta: 1 day, 3:25:39 time: 0.456 data_time: 0.006 memory: 6404 grad_norm: 6.1669 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2272 loss: 2.2272 2022/06/29 15:43:22 - mmengine - INFO - Epoch(train) [6][1780/3757] lr: 1.000e-02 eta: 1 day, 3:25:33 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 6.3209 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5361 loss: 2.5361 2022/06/29 15:43:28 - mmengine - INFO - Epoch(train) [6][1800/3757] lr: 1.000e-02 eta: 1 day, 3:25:28 time: 0.243 data_time: 0.009 memory: 6404 grad_norm: 5.1127 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1247 loss: 2.1247 2022/06/29 15:43:35 - mmengine - INFO - Epoch(train) [6][1820/3757] lr: 1.000e-02 eta: 1 day, 3:26:02 time: 0.279 data_time: 0.007 memory: 6404 grad_norm: 5.1439 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8174 loss: 2.8174 2022/06/29 15:43:41 - mmengine - INFO - Epoch(train) [6][1840/3757] lr: 1.000e-02 eta: 1 day, 3:25:49 time: 0.247 data_time: 0.015 memory: 6404 grad_norm: 5.6291 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6722 loss: 2.6722 2022/06/29 15:43:46 - mmengine - INFO - Epoch(train) [6][1860/3757] lr: 1.000e-02 eta: 1 day, 3:25:35 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.6978 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.3558 loss: 2.3558 2022/06/29 15:43:53 - mmengine - INFO - Epoch(train) [6][1880/3757] lr: 1.000e-02 eta: 1 day, 3:25:56 time: 0.293 data_time: 0.006 memory: 6404 grad_norm: 6.0459 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6455 loss: 2.6455 2022/06/29 15:43:59 - mmengine - INFO - Epoch(train) [6][1900/3757] lr: 1.000e-02 eta: 1 day, 3:25:55 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 5.5533 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2932 loss: 2.2932 2022/06/29 15:44:04 - mmengine - INFO - Epoch(train) [6][1920/3757] lr: 1.000e-02 eta: 1 day, 3:25:40 time: 0.265 data_time: 0.016 memory: 6404 grad_norm: 5.5434 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.7200 loss: 2.7200 2022/06/29 15:44:11 - mmengine - INFO - Epoch(train) [6][1940/3757] lr: 1.000e-02 eta: 1 day, 3:26:10 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.4954 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5641 loss: 2.5641 2022/06/29 15:44:16 - mmengine - INFO - Epoch(train) [6][1960/3757] lr: 1.000e-02 eta: 1 day, 3:25:57 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 5.4557 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.8056 loss: 2.8056 2022/06/29 15:44:21 - mmengine - INFO - Epoch(train) [6][1980/3757] lr: 1.000e-02 eta: 1 day, 3:25:42 time: 0.249 data_time: 0.015 memory: 6404 grad_norm: 5.6212 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2122 loss: 2.2122 2022/06/29 15:44:26 - mmengine - INFO - Epoch(train) [6][2000/3757] lr: 1.000e-02 eta: 1 day, 3:25:29 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 5.2399 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9045 loss: 2.9045 2022/06/29 15:44:32 - mmengine - INFO - Epoch(train) [6][2020/3757] lr: 1.000e-02 eta: 1 day, 3:25:14 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 5.5932 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6981 loss: 2.6981 2022/06/29 15:44:37 - mmengine - INFO - Epoch(train) [6][2040/3757] lr: 1.000e-02 eta: 1 day, 3:25:10 time: 0.283 data_time: 0.007 memory: 6404 grad_norm: 5.9870 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.6385 loss: 2.6385 2022/06/29 15:44:42 - mmengine - INFO - Epoch(train) [6][2060/3757] lr: 1.000e-02 eta: 1 day, 3:24:59 time: 0.262 data_time: 0.012 memory: 6404 grad_norm: 5.1230 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4157 loss: 2.4157 2022/06/29 15:44:48 - mmengine - INFO - Epoch(train) [6][2080/3757] lr: 1.000e-02 eta: 1 day, 3:24:56 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 6.0638 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5105 loss: 2.5105 2022/06/29 15:44:54 - mmengine - INFO - Epoch(train) [6][2100/3757] lr: 1.000e-02 eta: 1 day, 3:24:50 time: 0.530 data_time: 0.007 memory: 6404 grad_norm: 5.4234 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6728 loss: 2.6728 2022/06/29 15:44:59 - mmengine - INFO - Epoch(train) [6][2120/3757] lr: 1.000e-02 eta: 1 day, 3:24:44 time: 0.271 data_time: 0.006 memory: 6404 grad_norm: 5.3898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6533 loss: 2.6533 2022/06/29 15:45:05 - mmengine - INFO - Epoch(train) [6][2140/3757] lr: 1.000e-02 eta: 1 day, 3:24:38 time: 0.243 data_time: 0.006 memory: 6404 grad_norm: 5.6992 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2334 loss: 2.2334 2022/06/29 15:45:10 - mmengine - INFO - Epoch(train) [6][2160/3757] lr: 1.000e-02 eta: 1 day, 3:24:35 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 5.9511 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5643 loss: 2.5643 2022/06/29 15:45:16 - mmengine - INFO - Epoch(train) [6][2180/3757] lr: 1.000e-02 eta: 1 day, 3:24:28 time: 0.290 data_time: 0.006 memory: 6404 grad_norm: 4.8583 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5194 loss: 2.5194 2022/06/29 15:45:21 - mmengine - INFO - Epoch(train) [6][2200/3757] lr: 1.000e-02 eta: 1 day, 3:24:18 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.9372 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0125 loss: 3.0125 2022/06/29 15:45:25 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 15:45:27 - mmengine - INFO - Epoch(train) [6][2220/3757] lr: 1.000e-02 eta: 1 day, 3:24:09 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.0969 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6210 loss: 2.6210 2022/06/29 15:45:32 - mmengine - INFO - Epoch(train) [6][2240/3757] lr: 1.000e-02 eta: 1 day, 3:24:06 time: 0.647 data_time: 0.013 memory: 6404 grad_norm: 5.7354 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0980 loss: 2.0980 2022/06/29 15:45:38 - mmengine - INFO - Epoch(train) [6][2260/3757] lr: 1.000e-02 eta: 1 day, 3:23:56 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.8455 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7716 loss: 2.7716 2022/06/29 15:45:43 - mmengine - INFO - Epoch(train) [6][2280/3757] lr: 1.000e-02 eta: 1 day, 3:23:41 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 6.3757 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7166 loss: 2.7166 2022/06/29 15:45:48 - mmengine - INFO - Epoch(train) [6][2300/3757] lr: 1.000e-02 eta: 1 day, 3:23:39 time: 0.769 data_time: 0.006 memory: 6404 grad_norm: 6.1285 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6175 loss: 2.6175 2022/06/29 15:45:54 - mmengine - INFO - Epoch(train) [6][2320/3757] lr: 1.000e-02 eta: 1 day, 3:23:36 time: 0.253 data_time: 0.066 memory: 6404 grad_norm: 5.3742 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4479 loss: 2.4479 2022/06/29 15:46:00 - mmengine - INFO - Epoch(train) [6][2340/3757] lr: 1.000e-02 eta: 1 day, 3:23:30 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 5.5801 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6977 loss: 2.6977 2022/06/29 15:46:05 - mmengine - INFO - Epoch(train) [6][2360/3757] lr: 1.000e-02 eta: 1 day, 3:23:21 time: 0.317 data_time: 0.006 memory: 6404 grad_norm: 5.6479 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9467 loss: 2.9467 2022/06/29 15:46:10 - mmengine - INFO - Epoch(train) [6][2380/3757] lr: 1.000e-02 eta: 1 day, 3:23:10 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 6.0171 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5290 loss: 2.5290 2022/06/29 15:46:16 - mmengine - INFO - Epoch(train) [6][2400/3757] lr: 1.000e-02 eta: 1 day, 3:23:05 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.2940 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7410 loss: 2.7410 2022/06/29 15:46:21 - mmengine - INFO - Epoch(train) [6][2420/3757] lr: 1.000e-02 eta: 1 day, 3:22:55 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 5.0658 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7505 loss: 2.7505 2022/06/29 15:46:26 - mmengine - INFO - Epoch(train) [6][2440/3757] lr: 1.000e-02 eta: 1 day, 3:22:43 time: 0.243 data_time: 0.013 memory: 6404 grad_norm: 4.9989 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8144 loss: 2.8144 2022/06/29 15:46:32 - mmengine - INFO - Epoch(train) [6][2460/3757] lr: 1.000e-02 eta: 1 day, 3:22:31 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.2210 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3692 loss: 2.3692 2022/06/29 15:46:37 - mmengine - INFO - Epoch(train) [6][2480/3757] lr: 1.000e-02 eta: 1 day, 3:22:26 time: 0.368 data_time: 0.007 memory: 6404 grad_norm: 5.1436 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8569 loss: 2.8569 2022/06/29 15:46:43 - mmengine - INFO - Epoch(train) [6][2500/3757] lr: 1.000e-02 eta: 1 day, 3:22:28 time: 0.250 data_time: 0.033 memory: 6404 grad_norm: 5.6474 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6136 loss: 2.6136 2022/06/29 15:46:48 - mmengine - INFO - Epoch(train) [6][2520/3757] lr: 1.000e-02 eta: 1 day, 3:22:17 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 6.1921 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4918 loss: 2.4918 2022/06/29 15:46:57 - mmengine - INFO - Epoch(train) [6][2540/3757] lr: 1.000e-02 eta: 1 day, 3:23:01 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 5.9879 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3164 loss: 2.3164 2022/06/29 15:47:02 - mmengine - INFO - Epoch(train) [6][2560/3757] lr: 1.000e-02 eta: 1 day, 3:22:49 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.0775 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5902 loss: 2.5902 2022/06/29 15:47:08 - mmengine - INFO - Epoch(train) [6][2580/3757] lr: 1.000e-02 eta: 1 day, 3:22:48 time: 0.822 data_time: 0.640 memory: 6404 grad_norm: 5.4299 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3519 loss: 2.3519 2022/06/29 15:47:13 - mmengine - INFO - Epoch(train) [6][2600/3757] lr: 1.000e-02 eta: 1 day, 3:22:34 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 6.4289 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3161 loss: 2.3161 2022/06/29 15:47:18 - mmengine - INFO - Epoch(train) [6][2620/3757] lr: 1.000e-02 eta: 1 day, 3:22:25 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.9643 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0660 loss: 2.0660 2022/06/29 15:47:24 - mmengine - INFO - Epoch(train) [6][2640/3757] lr: 1.000e-02 eta: 1 day, 3:22:18 time: 0.282 data_time: 0.087 memory: 6404 grad_norm: 5.6170 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4073 loss: 2.4073 2022/06/29 15:47:29 - mmengine - INFO - Epoch(train) [6][2660/3757] lr: 1.000e-02 eta: 1 day, 3:22:08 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.5253 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5996 loss: 2.5996 2022/06/29 15:47:35 - mmengine - INFO - Epoch(train) [6][2680/3757] lr: 1.000e-02 eta: 1 day, 3:22:06 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 6.1088 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.1238 loss: 3.1238 2022/06/29 15:47:41 - mmengine - INFO - Epoch(train) [6][2700/3757] lr: 1.000e-02 eta: 1 day, 3:22:07 time: 0.265 data_time: 0.022 memory: 6404 grad_norm: 5.7033 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7717 loss: 2.7717 2022/06/29 15:47:46 - mmengine - INFO - Epoch(train) [6][2720/3757] lr: 1.000e-02 eta: 1 day, 3:21:54 time: 0.244 data_time: 0.023 memory: 6404 grad_norm: 5.4403 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5843 loss: 2.5843 2022/06/29 15:47:51 - mmengine - INFO - Epoch(train) [6][2740/3757] lr: 1.000e-02 eta: 1 day, 3:21:40 time: 0.242 data_time: 0.014 memory: 6404 grad_norm: 5.7511 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4207 loss: 2.4207 2022/06/29 15:47:56 - mmengine - INFO - Epoch(train) [6][2760/3757] lr: 1.000e-02 eta: 1 day, 3:21:33 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 5.2562 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3595 loss: 2.3595 2022/06/29 15:48:02 - mmengine - INFO - Epoch(train) [6][2780/3757] lr: 1.000e-02 eta: 1 day, 3:21:21 time: 0.265 data_time: 0.006 memory: 6404 grad_norm: 5.3141 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6939 loss: 2.6939 2022/06/29 15:48:09 - mmengine - INFO - Epoch(train) [6][2800/3757] lr: 1.000e-02 eta: 1 day, 3:21:46 time: 0.300 data_time: 0.010 memory: 6404 grad_norm: 5.9733 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4442 loss: 2.4442 2022/06/29 15:48:14 - mmengine - INFO - Epoch(train) [6][2820/3757] lr: 1.000e-02 eta: 1 day, 3:21:37 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.1830 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3265 loss: 2.3265 2022/06/29 15:48:19 - mmengine - INFO - Epoch(train) [6][2840/3757] lr: 1.000e-02 eta: 1 day, 3:21:23 time: 0.277 data_time: 0.010 memory: 6404 grad_norm: 5.6916 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6735 loss: 2.6735 2022/06/29 15:48:25 - mmengine - INFO - Epoch(train) [6][2860/3757] lr: 1.000e-02 eta: 1 day, 3:21:10 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 5.8408 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3793 loss: 2.3793 2022/06/29 15:48:31 - mmengine - INFO - Epoch(train) [6][2880/3757] lr: 1.000e-02 eta: 1 day, 3:21:15 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 5.9066 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3878 loss: 2.3878 2022/06/29 15:48:36 - mmengine - INFO - Epoch(train) [6][2900/3757] lr: 1.000e-02 eta: 1 day, 3:21:04 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 5.2148 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5264 loss: 2.5264 2022/06/29 15:48:41 - mmengine - INFO - Epoch(train) [6][2920/3757] lr: 1.000e-02 eta: 1 day, 3:20:52 time: 0.285 data_time: 0.017 memory: 6404 grad_norm: 5.1770 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3632 loss: 2.3632 2022/06/29 15:48:47 - mmengine - INFO - Epoch(train) [6][2940/3757] lr: 1.000e-02 eta: 1 day, 3:20:56 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 5.5240 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0841 loss: 2.0841 2022/06/29 15:48:53 - mmengine - INFO - Epoch(train) [6][2960/3757] lr: 1.000e-02 eta: 1 day, 3:20:44 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 6.1155 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3979 loss: 2.3979 2022/06/29 15:48:58 - mmengine - INFO - Epoch(train) [6][2980/3757] lr: 1.000e-02 eta: 1 day, 3:20:33 time: 0.246 data_time: 0.016 memory: 6404 grad_norm: 5.7723 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0799 loss: 3.0799 2022/06/29 15:49:03 - mmengine - INFO - Epoch(train) [6][3000/3757] lr: 1.000e-02 eta: 1 day, 3:20:18 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.2911 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.4542 loss: 2.4542 2022/06/29 15:49:08 - mmengine - INFO - Epoch(train) [6][3020/3757] lr: 1.000e-02 eta: 1 day, 3:20:04 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 5.8270 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7513 loss: 2.7513 2022/06/29 15:49:13 - mmengine - INFO - Epoch(train) [6][3040/3757] lr: 1.000e-02 eta: 1 day, 3:19:59 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 5.3367 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3758 loss: 2.3758 2022/06/29 15:49:19 - mmengine - INFO - Epoch(train) [6][3060/3757] lr: 1.000e-02 eta: 1 day, 3:19:57 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 5.9579 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6669 loss: 2.6669 2022/06/29 15:49:24 - mmengine - INFO - Epoch(train) [6][3080/3757] lr: 1.000e-02 eta: 1 day, 3:19:43 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.3233 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4062 loss: 2.4062 2022/06/29 15:49:31 - mmengine - INFO - Epoch(train) [6][3100/3757] lr: 1.000e-02 eta: 1 day, 3:19:56 time: 0.240 data_time: 0.011 memory: 6404 grad_norm: 5.8015 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6495 loss: 2.6495 2022/06/29 15:49:36 - mmengine - INFO - Epoch(train) [6][3120/3757] lr: 1.000e-02 eta: 1 day, 3:19:49 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.7165 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9318 loss: 2.9318 2022/06/29 15:49:41 - mmengine - INFO - Epoch(train) [6][3140/3757] lr: 1.000e-02 eta: 1 day, 3:19:35 time: 0.269 data_time: 0.010 memory: 6404 grad_norm: 5.3633 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2715 loss: 2.2715 2022/06/29 15:49:47 - mmengine - INFO - Epoch(train) [6][3160/3757] lr: 1.000e-02 eta: 1 day, 3:19:22 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.0450 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3602 loss: 2.3602 2022/06/29 15:49:52 - mmengine - INFO - Epoch(train) [6][3180/3757] lr: 1.000e-02 eta: 1 day, 3:19:11 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 4.9573 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6785 loss: 2.6785 2022/06/29 15:49:58 - mmengine - INFO - Epoch(train) [6][3200/3757] lr: 1.000e-02 eta: 1 day, 3:19:15 time: 0.260 data_time: 0.009 memory: 6404 grad_norm: 5.6720 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1463 loss: 2.1463 2022/06/29 15:50:02 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 15:50:03 - mmengine - INFO - Epoch(train) [6][3220/3757] lr: 1.000e-02 eta: 1 day, 3:19:02 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.3193 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2907 loss: 2.2907 2022/06/29 15:50:09 - mmengine - INFO - Epoch(train) [6][3240/3757] lr: 1.000e-02 eta: 1 day, 3:19:06 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 5.8974 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5509 loss: 2.5509 2022/06/29 15:50:14 - mmengine - INFO - Epoch(train) [6][3260/3757] lr: 1.000e-02 eta: 1 day, 3:18:56 time: 0.273 data_time: 0.008 memory: 6404 grad_norm: 5.3395 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6337 loss: 2.6337 2022/06/29 15:50:19 - mmengine - INFO - Epoch(train) [6][3280/3757] lr: 1.000e-02 eta: 1 day, 3:18:42 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 5.7606 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.7030 loss: 2.7030 2022/06/29 15:50:25 - mmengine - INFO - Epoch(train) [6][3300/3757] lr: 1.000e-02 eta: 1 day, 3:18:35 time: 0.261 data_time: 0.006 memory: 6404 grad_norm: 5.3442 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1909 loss: 2.1909 2022/06/29 15:50:30 - mmengine - INFO - Epoch(train) [6][3320/3757] lr: 1.000e-02 eta: 1 day, 3:18:21 time: 0.249 data_time: 0.016 memory: 6404 grad_norm: 5.0405 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5617 loss: 2.5617 2022/06/29 15:50:35 - mmengine - INFO - Epoch(train) [6][3340/3757] lr: 1.000e-02 eta: 1 day, 3:18:12 time: 0.245 data_time: 0.015 memory: 6404 grad_norm: 5.8313 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5972 loss: 2.5972 2022/06/29 15:50:42 - mmengine - INFO - Epoch(train) [6][3360/3757] lr: 1.000e-02 eta: 1 day, 3:18:17 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 6.1465 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7553 loss: 2.7553 2022/06/29 15:50:47 - mmengine - INFO - Epoch(train) [6][3380/3757] lr: 1.000e-02 eta: 1 day, 3:18:10 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.5717 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6667 loss: 2.6667 2022/06/29 15:50:53 - mmengine - INFO - Epoch(train) [6][3400/3757] lr: 1.000e-02 eta: 1 day, 3:18:13 time: 0.629 data_time: 0.006 memory: 6404 grad_norm: 5.9385 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7608 loss: 2.7608 2022/06/29 15:50:58 - mmengine - INFO - Epoch(train) [6][3420/3757] lr: 1.000e-02 eta: 1 day, 3:18:01 time: 0.280 data_time: 0.010 memory: 6404 grad_norm: 5.8601 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6160 loss: 2.6160 2022/06/29 15:51:03 - mmengine - INFO - Epoch(train) [6][3440/3757] lr: 1.000e-02 eta: 1 day, 3:17:48 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 5.5509 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1907 loss: 2.1907 2022/06/29 15:51:09 - mmengine - INFO - Epoch(train) [6][3460/3757] lr: 1.000e-02 eta: 1 day, 3:17:37 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 5.3276 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7110 loss: 2.7110 2022/06/29 15:51:14 - mmengine - INFO - Epoch(train) [6][3480/3757] lr: 1.000e-02 eta: 1 day, 3:17:23 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 5.9928 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1455 loss: 2.1455 2022/06/29 15:51:19 - mmengine - INFO - Epoch(train) [6][3500/3757] lr: 1.000e-02 eta: 1 day, 3:17:16 time: 0.251 data_time: 0.017 memory: 6404 grad_norm: 5.6649 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.4855 loss: 2.4855 2022/06/29 15:51:24 - mmengine - INFO - Epoch(train) [6][3520/3757] lr: 1.000e-02 eta: 1 day, 3:17:06 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 5.7076 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6413 loss: 2.6413 2022/06/29 15:51:30 - mmengine - INFO - Epoch(train) [6][3540/3757] lr: 1.000e-02 eta: 1 day, 3:16:59 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.9810 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8434 loss: 2.8434 2022/06/29 15:51:36 - mmengine - INFO - Epoch(train) [6][3560/3757] lr: 1.000e-02 eta: 1 day, 3:16:59 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 5.8076 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3802 loss: 2.3802 2022/06/29 15:51:41 - mmengine - INFO - Epoch(train) [6][3580/3757] lr: 1.000e-02 eta: 1 day, 3:16:45 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 5.3564 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.6263 loss: 2.6263 2022/06/29 15:51:46 - mmengine - INFO - Epoch(train) [6][3600/3757] lr: 1.000e-02 eta: 1 day, 3:16:33 time: 0.242 data_time: 0.010 memory: 6404 grad_norm: 5.3890 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3833 loss: 2.3833 2022/06/29 15:51:52 - mmengine - INFO - Epoch(train) [6][3620/3757] lr: 1.000e-02 eta: 1 day, 3:16:30 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 5.6350 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3736 loss: 2.3736 2022/06/29 15:51:58 - mmengine - INFO - Epoch(train) [6][3640/3757] lr: 1.000e-02 eta: 1 day, 3:16:33 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 6.2224 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3408 loss: 2.3408 2022/06/29 15:52:03 - mmengine - INFO - Epoch(train) [6][3660/3757] lr: 1.000e-02 eta: 1 day, 3:16:22 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.7420 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3522 loss: 2.3522 2022/06/29 15:52:09 - mmengine - INFO - Epoch(train) [6][3680/3757] lr: 1.000e-02 eta: 1 day, 3:16:29 time: 0.254 data_time: 0.005 memory: 6404 grad_norm: 4.9932 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5322 loss: 2.5322 2022/06/29 15:52:15 - mmengine - INFO - Epoch(train) [6][3700/3757] lr: 1.000e-02 eta: 1 day, 3:16:17 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 5.4879 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3677 loss: 2.3677 2022/06/29 15:52:20 - mmengine - INFO - Epoch(train) [6][3720/3757] lr: 1.000e-02 eta: 1 day, 3:16:03 time: 0.242 data_time: 0.010 memory: 6404 grad_norm: 5.8142 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3790 loss: 2.3790 2022/06/29 15:52:26 - mmengine - INFO - Epoch(train) [6][3740/3757] lr: 1.000e-02 eta: 1 day, 3:16:10 time: 0.225 data_time: 0.008 memory: 6404 grad_norm: 5.9833 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4831 loss: 2.4831 2022/06/29 15:52:30 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 15:52:37 - mmengine - INFO - Epoch(val) [6][20/310] eta: 0:01:25 time: 0.090 data_time: 0.010 memory: 6404 2022/06/29 15:52:43 - mmengine - INFO - Epoch(val) [6][40/310] eta: 0:01:18 time: 0.242 data_time: 0.160 memory: 1479 2022/06/29 15:52:46 - mmengine - INFO - Epoch(val) [6][60/310] eta: 0:00:22 time: 0.099 data_time: 0.025 memory: 1479 2022/06/29 15:52:52 - mmengine - INFO - Epoch(val) [6][80/310] eta: 0:01:05 time: 0.085 data_time: 0.007 memory: 1479 2022/06/29 15:52:58 - mmengine - INFO - Epoch(val) [6][100/310] eta: 0:01:02 time: 0.254 data_time: 0.173 memory: 1479 2022/06/29 15:53:02 - mmengine - INFO - Epoch(val) [6][120/310] eta: 0:00:19 time: 0.084 data_time: 0.007 memory: 1479 2022/06/29 15:53:08 - mmengine - INFO - Epoch(val) [6][140/310] eta: 0:00:53 time: 0.089 data_time: 0.011 memory: 1479 2022/06/29 15:53:15 - mmengine - INFO - Epoch(val) [6][160/310] eta: 0:00:48 time: 1.641 data_time: 1.568 memory: 1479 2022/06/29 15:53:19 - mmengine - INFO - Epoch(val) [6][180/310] eta: 0:00:37 time: 0.080 data_time: 0.005 memory: 1479 2022/06/29 15:53:24 - mmengine - INFO - Epoch(val) [6][200/310] eta: 0:00:31 time: 0.105 data_time: 0.008 memory: 1479 2022/06/29 15:53:30 - mmengine - INFO - Epoch(val) [6][220/310] eta: 0:00:26 time: 1.580 data_time: 1.494 memory: 1479 2022/06/29 15:53:34 - mmengine - INFO - Epoch(val) [6][240/310] eta: 0:00:21 time: 0.080 data_time: 0.005 memory: 1479 2022/06/29 15:53:40 - mmengine - INFO - Epoch(val) [6][260/310] eta: 0:00:15 time: 0.084 data_time: 0.006 memory: 1479 2022/06/29 15:53:46 - mmengine - INFO - Epoch(val) [6][280/310] eta: 0:00:08 time: 1.576 data_time: 1.493 memory: 1479 2022/06/29 15:53:50 - mmengine - INFO - Epoch(val) [6][300/310] eta: 0:00:02 time: 0.080 data_time: 0.006 memory: 1479 2022/06/29 15:53:53 - mmengine - INFO - Epoch(val) [6][310/310] acc/top1: 0.4703 acc/top5: 0.7410 acc/mean1: 0.4700 2022/06/29 15:54:02 - mmengine - INFO - Epoch(train) [7][20/3757] lr: 1.000e-02 eta: 1 day, 3:16:10 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.3528 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3523 loss: 2.3523 2022/06/29 15:54:07 - mmengine - INFO - Epoch(train) [7][40/3757] lr: 1.000e-02 eta: 1 day, 3:16:02 time: 0.239 data_time: 0.008 memory: 6404 grad_norm: 5.9311 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6392 loss: 2.6392 2022/06/29 15:54:13 - mmengine - INFO - Epoch(train) [7][60/3757] lr: 1.000e-02 eta: 1 day, 3:15:53 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.0413 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0472 loss: 2.0472 2022/06/29 15:54:19 - mmengine - INFO - Epoch(train) [7][80/3757] lr: 1.000e-02 eta: 1 day, 3:15:54 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 4.9528 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5082 loss: 2.5082 2022/06/29 15:54:24 - mmengine - INFO - Epoch(train) [7][100/3757] lr: 1.000e-02 eta: 1 day, 3:15:48 time: 0.263 data_time: 0.010 memory: 6404 grad_norm: 5.0171 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6577 loss: 2.6577 2022/06/29 15:54:30 - mmengine - INFO - Epoch(train) [7][120/3757] lr: 1.000e-02 eta: 1 day, 3:15:41 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 5.7729 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5777 loss: 2.5777 2022/06/29 15:54:36 - mmengine - INFO - Epoch(train) [7][140/3757] lr: 1.000e-02 eta: 1 day, 3:15:42 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.3212 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6601 loss: 2.6601 2022/06/29 15:54:41 - mmengine - INFO - Epoch(train) [7][160/3757] lr: 1.000e-02 eta: 1 day, 3:15:37 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 5.7515 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6885 loss: 2.6885 2022/06/29 15:54:47 - mmengine - INFO - Epoch(train) [7][180/3757] lr: 1.000e-02 eta: 1 day, 3:15:28 time: 0.241 data_time: 0.007 memory: 6404 grad_norm: 5.8010 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3351 loss: 2.3351 2022/06/29 15:54:52 - mmengine - INFO - Epoch(train) [7][200/3757] lr: 1.000e-02 eta: 1 day, 3:15:26 time: 0.274 data_time: 0.008 memory: 6404 grad_norm: 5.9621 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3058 loss: 2.3058 2022/06/29 15:54:58 - mmengine - INFO - Epoch(train) [7][220/3757] lr: 1.000e-02 eta: 1 day, 3:15:19 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.4747 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2462 loss: 2.2462 2022/06/29 15:55:03 - mmengine - INFO - Epoch(train) [7][240/3757] lr: 1.000e-02 eta: 1 day, 3:15:05 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 5.5337 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4622 loss: 2.4622 2022/06/29 15:55:08 - mmengine - INFO - Epoch(train) [7][260/3757] lr: 1.000e-02 eta: 1 day, 3:14:55 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.3730 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4629 loss: 2.4629 2022/06/29 15:55:14 - mmengine - INFO - Epoch(train) [7][280/3757] lr: 1.000e-02 eta: 1 day, 3:14:59 time: 0.271 data_time: 0.010 memory: 6404 grad_norm: 5.4097 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3658 loss: 2.3658 2022/06/29 15:55:19 - mmengine - INFO - Epoch(train) [7][300/3757] lr: 1.000e-02 eta: 1 day, 3:14:48 time: 0.292 data_time: 0.012 memory: 6404 grad_norm: 5.3395 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3993 loss: 2.3993 2022/06/29 15:55:25 - mmengine - INFO - Epoch(train) [7][320/3757] lr: 1.000e-02 eta: 1 day, 3:14:35 time: 0.297 data_time: 0.007 memory: 6404 grad_norm: 6.1172 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0213 loss: 2.0213 2022/06/29 15:55:30 - mmengine - INFO - Epoch(train) [7][340/3757] lr: 1.000e-02 eta: 1 day, 3:14:27 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.4357 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4897 loss: 2.4897 2022/06/29 15:55:35 - mmengine - INFO - Epoch(train) [7][360/3757] lr: 1.000e-02 eta: 1 day, 3:14:14 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.2468 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3825 loss: 2.3825 2022/06/29 15:55:40 - mmengine - INFO - Epoch(train) [7][380/3757] lr: 1.000e-02 eta: 1 day, 3:14:07 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 6.1303 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5130 loss: 2.5130 2022/06/29 15:55:46 - mmengine - INFO - Epoch(train) [7][400/3757] lr: 1.000e-02 eta: 1 day, 3:14:04 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.7977 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6357 loss: 2.6357 2022/06/29 15:55:52 - mmengine - INFO - Epoch(train) [7][420/3757] lr: 1.000e-02 eta: 1 day, 3:13:55 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.4886 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0185 loss: 3.0185 2022/06/29 15:55:57 - mmengine - INFO - Epoch(train) [7][440/3757] lr: 1.000e-02 eta: 1 day, 3:13:51 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.7676 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5986 loss: 2.5986 2022/06/29 15:56:02 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 15:56:02 - mmengine - INFO - Epoch(train) [7][460/3757] lr: 1.000e-02 eta: 1 day, 3:13:41 time: 0.245 data_time: 0.009 memory: 6404 grad_norm: 5.4121 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6249 loss: 2.6249 2022/06/29 15:56:08 - mmengine - INFO - Epoch(train) [7][480/3757] lr: 1.000e-02 eta: 1 day, 3:13:31 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.3105 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.7480 loss: 2.7480 2022/06/29 15:56:13 - mmengine - INFO - Epoch(train) [7][500/3757] lr: 1.000e-02 eta: 1 day, 3:13:25 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 5.2697 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1681 loss: 2.1681 2022/06/29 15:56:19 - mmengine - INFO - Epoch(train) [7][520/3757] lr: 1.000e-02 eta: 1 day, 3:13:27 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 5.3280 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6038 loss: 2.6038 2022/06/29 15:56:24 - mmengine - INFO - Epoch(train) [7][540/3757] lr: 1.000e-02 eta: 1 day, 3:13:13 time: 0.247 data_time: 0.014 memory: 6404 grad_norm: 5.6384 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3438 loss: 2.3438 2022/06/29 15:56:30 - mmengine - INFO - Epoch(train) [7][560/3757] lr: 1.000e-02 eta: 1 day, 3:13:05 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.2139 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2217 loss: 2.2217 2022/06/29 15:56:35 - mmengine - INFO - Epoch(train) [7][580/3757] lr: 1.000e-02 eta: 1 day, 3:12:58 time: 0.263 data_time: 0.008 memory: 6404 grad_norm: 6.2408 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6319 loss: 2.6319 2022/06/29 15:56:40 - mmengine - INFO - Epoch(train) [7][600/3757] lr: 1.000e-02 eta: 1 day, 3:12:47 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.9173 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5981 loss: 2.5981 2022/06/29 15:56:46 - mmengine - INFO - Epoch(train) [7][620/3757] lr: 1.000e-02 eta: 1 day, 3:12:42 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 5.6505 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5129 loss: 2.5129 2022/06/29 15:56:52 - mmengine - INFO - Epoch(train) [7][640/3757] lr: 1.000e-02 eta: 1 day, 3:12:37 time: 0.254 data_time: 0.017 memory: 6404 grad_norm: 6.0061 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3054 loss: 2.3054 2022/06/29 15:56:57 - mmengine - INFO - Epoch(train) [7][660/3757] lr: 1.000e-02 eta: 1 day, 3:12:35 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.1970 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5325 loss: 2.5325 2022/06/29 15:57:02 - mmengine - INFO - Epoch(train) [7][680/3757] lr: 1.000e-02 eta: 1 day, 3:12:22 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.4726 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6373 loss: 2.6373 2022/06/29 15:57:08 - mmengine - INFO - Epoch(train) [7][700/3757] lr: 1.000e-02 eta: 1 day, 3:12:16 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 5.4206 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5142 loss: 2.5142 2022/06/29 15:57:13 - mmengine - INFO - Epoch(train) [7][720/3757] lr: 1.000e-02 eta: 1 day, 3:12:08 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 5.8382 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3546 loss: 2.3546 2022/06/29 15:57:19 - mmengine - INFO - Epoch(train) [7][740/3757] lr: 1.000e-02 eta: 1 day, 3:12:00 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.0244 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3016 loss: 2.3016 2022/06/29 15:57:24 - mmengine - INFO - Epoch(train) [7][760/3757] lr: 1.000e-02 eta: 1 day, 3:11:53 time: 0.233 data_time: 0.008 memory: 6404 grad_norm: 5.6725 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2667 loss: 2.2667 2022/06/29 15:57:30 - mmengine - INFO - Epoch(train) [7][780/3757] lr: 1.000e-02 eta: 1 day, 3:11:51 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.2316 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3646 loss: 2.3646 2022/06/29 15:57:35 - mmengine - INFO - Epoch(train) [7][800/3757] lr: 1.000e-02 eta: 1 day, 3:11:39 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.4539 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2384 loss: 2.2384 2022/06/29 15:57:40 - mmengine - INFO - Epoch(train) [7][820/3757] lr: 1.000e-02 eta: 1 day, 3:11:27 time: 0.262 data_time: 0.010 memory: 6404 grad_norm: 5.9668 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3564 loss: 2.3564 2022/06/29 15:57:46 - mmengine - INFO - Epoch(train) [7][840/3757] lr: 1.000e-02 eta: 1 day, 3:11:23 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.7470 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3141 loss: 2.3141 2022/06/29 15:57:52 - mmengine - INFO - Epoch(train) [7][860/3757] lr: 1.000e-02 eta: 1 day, 3:11:20 time: 0.273 data_time: 0.006 memory: 6404 grad_norm: 4.9412 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5629 loss: 2.5629 2022/06/29 15:57:57 - mmengine - INFO - Epoch(train) [7][880/3757] lr: 1.000e-02 eta: 1 day, 3:11:12 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 5.9926 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2344 loss: 2.2344 2022/06/29 15:58:02 - mmengine - INFO - Epoch(train) [7][900/3757] lr: 1.000e-02 eta: 1 day, 3:11:02 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 4.9071 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8273 loss: 2.8273 2022/06/29 15:58:08 - mmengine - INFO - Epoch(train) [7][920/3757] lr: 1.000e-02 eta: 1 day, 3:10:54 time: 0.352 data_time: 0.006 memory: 6404 grad_norm: 5.9525 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9182 loss: 2.9182 2022/06/29 15:58:13 - mmengine - INFO - Epoch(train) [7][940/3757] lr: 1.000e-02 eta: 1 day, 3:10:46 time: 0.237 data_time: 0.011 memory: 6404 grad_norm: 5.4927 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5133 loss: 2.5133 2022/06/29 15:58:19 - mmengine - INFO - Epoch(train) [7][960/3757] lr: 1.000e-02 eta: 1 day, 3:10:50 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.7748 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4562 loss: 2.4562 2022/06/29 15:58:25 - mmengine - INFO - Epoch(train) [7][980/3757] lr: 1.000e-02 eta: 1 day, 3:10:38 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.7660 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7720 loss: 2.7720 2022/06/29 15:58:30 - mmengine - INFO - Epoch(train) [7][1000/3757] lr: 1.000e-02 eta: 1 day, 3:10:32 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 4.7617 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1237 loss: 2.1237 2022/06/29 15:58:36 - mmengine - INFO - Epoch(train) [7][1020/3757] lr: 1.000e-02 eta: 1 day, 3:10:28 time: 0.448 data_time: 0.006 memory: 6404 grad_norm: 5.2639 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2137 loss: 2.2137 2022/06/29 15:58:41 - mmengine - INFO - Epoch(train) [7][1040/3757] lr: 1.000e-02 eta: 1 day, 3:10:14 time: 0.261 data_time: 0.006 memory: 6404 grad_norm: 5.6495 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6058 loss: 2.6058 2022/06/29 15:58:46 - mmengine - INFO - Epoch(train) [7][1060/3757] lr: 1.000e-02 eta: 1 day, 3:10:09 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.9654 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6928 loss: 2.6928 2022/06/29 15:58:53 - mmengine - INFO - Epoch(train) [7][1080/3757] lr: 1.000e-02 eta: 1 day, 3:10:16 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.6327 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2643 loss: 2.2643 2022/06/29 15:58:58 - mmengine - INFO - Epoch(train) [7][1100/3757] lr: 1.000e-02 eta: 1 day, 3:10:05 time: 0.256 data_time: 0.013 memory: 6404 grad_norm: 5.7882 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9390 loss: 2.9390 2022/06/29 15:59:03 - mmengine - INFO - Epoch(train) [7][1120/3757] lr: 1.000e-02 eta: 1 day, 3:09:54 time: 0.341 data_time: 0.015 memory: 6404 grad_norm: 5.7754 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2330 loss: 2.2330 2022/06/29 15:59:08 - mmengine - INFO - Epoch(train) [7][1140/3757] lr: 1.000e-02 eta: 1 day, 3:09:45 time: 0.245 data_time: 0.014 memory: 6404 grad_norm: 6.4973 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6159 loss: 2.6159 2022/06/29 15:59:14 - mmengine - INFO - Epoch(train) [7][1160/3757] lr: 1.000e-02 eta: 1 day, 3:09:38 time: 0.242 data_time: 0.018 memory: 6404 grad_norm: 5.2761 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3764 loss: 2.3764 2022/06/29 15:59:20 - mmengine - INFO - Epoch(train) [7][1180/3757] lr: 1.000e-02 eta: 1 day, 3:09:35 time: 0.671 data_time: 0.012 memory: 6404 grad_norm: 5.1841 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1279 loss: 2.1279 2022/06/29 15:59:25 - mmengine - INFO - Epoch(train) [7][1200/3757] lr: 1.000e-02 eta: 1 day, 3:09:23 time: 0.282 data_time: 0.014 memory: 6404 grad_norm: 5.6117 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5775 loss: 2.5775 2022/06/29 15:59:31 - mmengine - INFO - Epoch(train) [7][1220/3757] lr: 1.000e-02 eta: 1 day, 3:09:26 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 5.8935 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7174 loss: 1.7174 2022/06/29 15:59:36 - mmengine - INFO - Epoch(train) [7][1240/3757] lr: 1.000e-02 eta: 1 day, 3:09:14 time: 0.284 data_time: 0.021 memory: 6404 grad_norm: 6.5725 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4704 loss: 2.4704 2022/06/29 15:59:41 - mmengine - INFO - Epoch(train) [7][1260/3757] lr: 1.000e-02 eta: 1 day, 3:09:02 time: 0.250 data_time: 0.018 memory: 6404 grad_norm: 5.0817 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6057 loss: 2.6057 2022/06/29 15:59:47 - mmengine - INFO - Epoch(train) [7][1280/3757] lr: 1.000e-02 eta: 1 day, 3:08:54 time: 0.247 data_time: 0.014 memory: 6404 grad_norm: 5.8091 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9458 loss: 2.9458 2022/06/29 15:59:52 - mmengine - INFO - Epoch(train) [7][1300/3757] lr: 1.000e-02 eta: 1 day, 3:08:53 time: 0.672 data_time: 0.016 memory: 6404 grad_norm: 5.6582 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0349 loss: 2.0349 2022/06/29 15:59:57 - mmengine - INFO - Epoch(train) [7][1320/3757] lr: 1.000e-02 eta: 1 day, 3:08:40 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 5.3197 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6746 loss: 2.6746 2022/06/29 16:00:03 - mmengine - INFO - Epoch(train) [7][1340/3757] lr: 1.000e-02 eta: 1 day, 3:08:29 time: 0.265 data_time: 0.014 memory: 6404 grad_norm: 5.2243 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6523 loss: 2.6523 2022/06/29 16:00:08 - mmengine - INFO - Epoch(train) [7][1360/3757] lr: 1.000e-02 eta: 1 day, 3:08:26 time: 0.289 data_time: 0.008 memory: 6404 grad_norm: 5.4444 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4837 loss: 2.4837 2022/06/29 16:00:14 - mmengine - INFO - Epoch(train) [7][1380/3757] lr: 1.000e-02 eta: 1 day, 3:08:22 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.4234 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.3469 loss: 2.3469 2022/06/29 16:00:20 - mmengine - INFO - Epoch(train) [7][1400/3757] lr: 1.000e-02 eta: 1 day, 3:08:23 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 4.9661 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1746 loss: 2.1746 2022/06/29 16:00:25 - mmengine - INFO - Epoch(train) [7][1420/3757] lr: 1.000e-02 eta: 1 day, 3:08:14 time: 0.260 data_time: 0.006 memory: 6404 grad_norm: 5.3399 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1913 loss: 2.1913 2022/06/29 16:00:30 - mmengine - INFO - Epoch(train) [7][1440/3757] lr: 1.000e-02 eta: 1 day, 3:08:00 time: 0.242 data_time: 0.010 memory: 6404 grad_norm: 5.6896 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3192 loss: 2.3192 2022/06/29 16:00:36 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 16:00:36 - mmengine - INFO - Epoch(train) [7][1460/3757] lr: 1.000e-02 eta: 1 day, 3:08:03 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.2951 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5217 loss: 2.5217 2022/06/29 16:00:42 - mmengine - INFO - Epoch(train) [7][1480/3757] lr: 1.000e-02 eta: 1 day, 3:07:57 time: 0.282 data_time: 0.008 memory: 6404 grad_norm: 6.0198 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4203 loss: 2.4203 2022/06/29 16:00:48 - mmengine - INFO - Epoch(train) [7][1500/3757] lr: 1.000e-02 eta: 1 day, 3:07:52 time: 0.239 data_time: 0.009 memory: 6404 grad_norm: 5.5237 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.5496 loss: 2.5496 2022/06/29 16:00:53 - mmengine - INFO - Epoch(train) [7][1520/3757] lr: 1.000e-02 eta: 1 day, 3:07:39 time: 0.242 data_time: 0.005 memory: 6404 grad_norm: 6.1657 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4856 loss: 2.4856 2022/06/29 16:00:58 - mmengine - INFO - Epoch(train) [7][1540/3757] lr: 1.000e-02 eta: 1 day, 3:07:31 time: 0.280 data_time: 0.016 memory: 6404 grad_norm: 5.0238 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1466 loss: 2.1466 2022/06/29 16:01:03 - mmengine - INFO - Epoch(train) [7][1560/3757] lr: 1.000e-02 eta: 1 day, 3:07:18 time: 0.245 data_time: 0.025 memory: 6404 grad_norm: 5.2804 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3639 loss: 2.3639 2022/06/29 16:01:08 - mmengine - INFO - Epoch(train) [7][1580/3757] lr: 1.000e-02 eta: 1 day, 3:07:08 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.2191 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7611 loss: 2.7611 2022/06/29 16:01:14 - mmengine - INFO - Epoch(train) [7][1600/3757] lr: 1.000e-02 eta: 1 day, 3:07:05 time: 0.241 data_time: 0.014 memory: 6404 grad_norm: 5.5815 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7883 loss: 2.7883 2022/06/29 16:01:20 - mmengine - INFO - Epoch(train) [7][1620/3757] lr: 1.000e-02 eta: 1 day, 3:07:10 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.6153 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3190 loss: 2.3190 2022/06/29 16:01:26 - mmengine - INFO - Epoch(train) [7][1640/3757] lr: 1.000e-02 eta: 1 day, 3:07:02 time: 0.253 data_time: 0.018 memory: 6404 grad_norm: 5.2009 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7267 loss: 2.7267 2022/06/29 16:01:31 - mmengine - INFO - Epoch(train) [7][1660/3757] lr: 1.000e-02 eta: 1 day, 3:06:50 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.4826 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0270 loss: 2.0270 2022/06/29 16:01:36 - mmengine - INFO - Epoch(train) [7][1680/3757] lr: 1.000e-02 eta: 1 day, 3:06:42 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 5.4123 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3145 loss: 2.3145 2022/06/29 16:01:42 - mmengine - INFO - Epoch(train) [7][1700/3757] lr: 1.000e-02 eta: 1 day, 3:06:39 time: 0.259 data_time: 0.028 memory: 6404 grad_norm: 5.4902 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4987 loss: 2.4987 2022/06/29 16:01:47 - mmengine - INFO - Epoch(train) [7][1720/3757] lr: 1.000e-02 eta: 1 day, 3:06:31 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 6.4093 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1333 loss: 2.1333 2022/06/29 16:01:52 - mmengine - INFO - Epoch(train) [7][1740/3757] lr: 1.000e-02 eta: 1 day, 3:06:18 time: 0.246 data_time: 0.052 memory: 6404 grad_norm: 6.3380 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2802 loss: 2.2802 2022/06/29 16:01:57 - mmengine - INFO - Epoch(train) [7][1760/3757] lr: 1.000e-02 eta: 1 day, 3:06:06 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 5.8434 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6211 loss: 2.6211 2022/06/29 16:02:03 - mmengine - INFO - Epoch(train) [7][1780/3757] lr: 1.000e-02 eta: 1 day, 3:05:58 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.9848 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5306 loss: 2.5306 2022/06/29 16:02:08 - mmengine - INFO - Epoch(train) [7][1800/3757] lr: 1.000e-02 eta: 1 day, 3:05:47 time: 0.249 data_time: 0.021 memory: 6404 grad_norm: 5.5434 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3100 loss: 2.3100 2022/06/29 16:02:13 - mmengine - INFO - Epoch(train) [7][1820/3757] lr: 1.000e-02 eta: 1 day, 3:05:39 time: 0.241 data_time: 0.005 memory: 6404 grad_norm: 5.1375 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4288 loss: 2.4288 2022/06/29 16:02:19 - mmengine - INFO - Epoch(train) [7][1840/3757] lr: 1.000e-02 eta: 1 day, 3:05:35 time: 0.245 data_time: 0.009 memory: 6404 grad_norm: 4.9618 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3500 loss: 2.3500 2022/06/29 16:02:24 - mmengine - INFO - Epoch(train) [7][1860/3757] lr: 1.000e-02 eta: 1 day, 3:05:27 time: 0.379 data_time: 0.027 memory: 6404 grad_norm: 5.2702 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2907 loss: 2.2907 2022/06/29 16:02:30 - mmengine - INFO - Epoch(train) [7][1880/3757] lr: 1.000e-02 eta: 1 day, 3:05:20 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.7699 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8748 loss: 2.8748 2022/06/29 16:02:35 - mmengine - INFO - Epoch(train) [7][1900/3757] lr: 1.000e-02 eta: 1 day, 3:05:08 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 6.0611 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5881 loss: 2.5881 2022/06/29 16:02:41 - mmengine - INFO - Epoch(train) [7][1920/3757] lr: 1.000e-02 eta: 1 day, 3:05:11 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 5.5709 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6114 loss: 2.6114 2022/06/29 16:02:47 - mmengine - INFO - Epoch(train) [7][1940/3757] lr: 1.000e-02 eta: 1 day, 3:05:14 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 5.6390 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7029 loss: 2.7029 2022/06/29 16:02:52 - mmengine - INFO - Epoch(train) [7][1960/3757] lr: 1.000e-02 eta: 1 day, 3:05:01 time: 0.243 data_time: 0.034 memory: 6404 grad_norm: 5.7242 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0330 loss: 2.0330 2022/06/29 16:02:57 - mmengine - INFO - Epoch(train) [7][1980/3757] lr: 1.000e-02 eta: 1 day, 3:04:48 time: 0.260 data_time: 0.006 memory: 6404 grad_norm: 6.1539 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6073 loss: 2.6073 2022/06/29 16:03:02 - mmengine - INFO - Epoch(train) [7][2000/3757] lr: 1.000e-02 eta: 1 day, 3:04:34 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.3451 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3524 loss: 2.3524 2022/06/29 16:03:08 - mmengine - INFO - Epoch(train) [7][2020/3757] lr: 1.000e-02 eta: 1 day, 3:04:25 time: 0.240 data_time: 0.048 memory: 6404 grad_norm: 5.1859 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2139 loss: 2.2139 2022/06/29 16:03:13 - mmengine - INFO - Epoch(train) [7][2040/3757] lr: 1.000e-02 eta: 1 day, 3:04:17 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 4.7349 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5729 loss: 2.5729 2022/06/29 16:03:20 - mmengine - INFO - Epoch(train) [7][2060/3757] lr: 1.000e-02 eta: 1 day, 3:04:32 time: 0.241 data_time: 0.012 memory: 6404 grad_norm: 5.9452 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9681 loss: 2.9681 2022/06/29 16:03:25 - mmengine - INFO - Epoch(train) [7][2080/3757] lr: 1.000e-02 eta: 1 day, 3:04:19 time: 0.287 data_time: 0.028 memory: 6404 grad_norm: 5.4408 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8371 loss: 2.8371 2022/06/29 16:03:30 - mmengine - INFO - Epoch(train) [7][2100/3757] lr: 1.000e-02 eta: 1 day, 3:04:06 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.5103 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3797 loss: 2.3797 2022/06/29 16:03:36 - mmengine - INFO - Epoch(train) [7][2120/3757] lr: 1.000e-02 eta: 1 day, 3:04:01 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 5.5703 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5534 loss: 2.5534 2022/06/29 16:03:41 - mmengine - INFO - Epoch(train) [7][2140/3757] lr: 1.000e-02 eta: 1 day, 3:03:53 time: 0.243 data_time: 0.035 memory: 6404 grad_norm: 5.7379 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2884 loss: 2.2884 2022/06/29 16:03:46 - mmengine - INFO - Epoch(train) [7][2160/3757] lr: 1.000e-02 eta: 1 day, 3:03:42 time: 0.238 data_time: 0.011 memory: 6404 grad_norm: 5.2208 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5604 loss: 2.5604 2022/06/29 16:03:52 - mmengine - INFO - Epoch(train) [7][2180/3757] lr: 1.000e-02 eta: 1 day, 3:03:34 time: 0.241 data_time: 0.007 memory: 6404 grad_norm: 5.1244 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0090 loss: 2.0090 2022/06/29 16:03:57 - mmengine - INFO - Epoch(train) [7][2200/3757] lr: 1.000e-02 eta: 1 day, 3:03:26 time: 0.244 data_time: 0.018 memory: 6404 grad_norm: 5.3168 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6963 loss: 2.6963 2022/06/29 16:04:04 - mmengine - INFO - Epoch(train) [7][2220/3757] lr: 1.000e-02 eta: 1 day, 3:03:34 time: 0.239 data_time: 0.007 memory: 6404 grad_norm: 5.5764 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3199 loss: 2.3199 2022/06/29 16:04:12 - mmengine - INFO - Epoch(train) [7][2240/3757] lr: 1.000e-02 eta: 1 day, 3:04:08 time: 0.290 data_time: 0.006 memory: 6404 grad_norm: 5.0839 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5976 loss: 2.5976 2022/06/29 16:04:17 - mmengine - INFO - Epoch(train) [7][2260/3757] lr: 1.000e-02 eta: 1 day, 3:03:55 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 5.7401 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1619 loss: 2.1619 2022/06/29 16:04:22 - mmengine - INFO - Epoch(train) [7][2280/3757] lr: 1.000e-02 eta: 1 day, 3:03:42 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 5.6959 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0744 loss: 2.0744 2022/06/29 16:04:27 - mmengine - INFO - Epoch(train) [7][2300/3757] lr: 1.000e-02 eta: 1 day, 3:03:30 time: 0.259 data_time: 0.006 memory: 6404 grad_norm: 5.6351 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4493 loss: 2.4493 2022/06/29 16:04:32 - mmengine - INFO - Epoch(train) [7][2320/3757] lr: 1.000e-02 eta: 1 day, 3:03:17 time: 0.258 data_time: 0.013 memory: 6404 grad_norm: 5.4234 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4135 loss: 2.4135 2022/06/29 16:04:37 - mmengine - INFO - Epoch(train) [7][2340/3757] lr: 1.000e-02 eta: 1 day, 3:03:08 time: 0.253 data_time: 0.016 memory: 6404 grad_norm: 5.3493 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9414 loss: 1.9414 2022/06/29 16:04:43 - mmengine - INFO - Epoch(train) [7][2360/3757] lr: 1.000e-02 eta: 1 day, 3:03:06 time: 0.615 data_time: 0.018 memory: 6404 grad_norm: 5.6976 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3189 loss: 2.3189 2022/06/29 16:04:49 - mmengine - INFO - Epoch(train) [7][2380/3757] lr: 1.000e-02 eta: 1 day, 3:03:00 time: 0.242 data_time: 0.012 memory: 6404 grad_norm: 6.1743 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8062 loss: 2.8062 2022/06/29 16:04:55 - mmengine - INFO - Epoch(train) [7][2400/3757] lr: 1.000e-02 eta: 1 day, 3:03:04 time: 0.247 data_time: 0.040 memory: 6404 grad_norm: 6.7661 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3893 loss: 2.3893 2022/06/29 16:05:00 - mmengine - INFO - Epoch(train) [7][2420/3757] lr: 1.000e-02 eta: 1 day, 3:02:54 time: 0.253 data_time: 0.020 memory: 6404 grad_norm: 5.0813 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3889 loss: 2.3889 2022/06/29 16:05:06 - mmengine - INFO - Epoch(train) [7][2440/3757] lr: 1.000e-02 eta: 1 day, 3:02:53 time: 0.263 data_time: 0.009 memory: 6404 grad_norm: 5.3939 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9687 loss: 2.9687 2022/06/29 16:05:11 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 16:05:11 - mmengine - INFO - Epoch(train) [7][2460/3757] lr: 1.000e-02 eta: 1 day, 3:02:41 time: 0.253 data_time: 0.021 memory: 6404 grad_norm: 5.7512 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6771 loss: 2.6771 2022/06/29 16:05:17 - mmengine - INFO - Epoch(train) [7][2480/3757] lr: 1.000e-02 eta: 1 day, 3:02:40 time: 0.262 data_time: 0.032 memory: 6404 grad_norm: 5.6417 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.5175 loss: 2.5175 2022/06/29 16:05:23 - mmengine - INFO - Epoch(train) [7][2500/3757] lr: 1.000e-02 eta: 1 day, 3:02:38 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 6.3533 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8319 loss: 2.8319 2022/06/29 16:05:28 - mmengine - INFO - Epoch(train) [7][2520/3757] lr: 1.000e-02 eta: 1 day, 3:02:27 time: 0.245 data_time: 0.021 memory: 6404 grad_norm: 5.7414 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5531 loss: 2.5531 2022/06/29 16:05:33 - mmengine - INFO - Epoch(train) [7][2540/3757] lr: 1.000e-02 eta: 1 day, 3:02:21 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.1332 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3854 loss: 2.3854 2022/06/29 16:05:39 - mmengine - INFO - Epoch(train) [7][2560/3757] lr: 1.000e-02 eta: 1 day, 3:02:11 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 5.4727 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5168 loss: 2.5168 2022/06/29 16:05:44 - mmengine - INFO - Epoch(train) [7][2580/3757] lr: 1.000e-02 eta: 1 day, 3:02:05 time: 0.247 data_time: 0.051 memory: 6404 grad_norm: 5.8541 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8406 loss: 2.8406 2022/06/29 16:05:50 - mmengine - INFO - Epoch(train) [7][2600/3757] lr: 1.000e-02 eta: 1 day, 3:01:57 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.8235 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4826 loss: 2.4826 2022/06/29 16:05:55 - mmengine - INFO - Epoch(train) [7][2620/3757] lr: 1.000e-02 eta: 1 day, 3:01:46 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 5.4614 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6728 loss: 2.6728 2022/06/29 16:06:02 - mmengine - INFO - Epoch(train) [7][2640/3757] lr: 1.000e-02 eta: 1 day, 3:02:10 time: 1.513 data_time: 0.013 memory: 6404 grad_norm: 5.3239 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5188 loss: 2.5188 2022/06/29 16:06:07 - mmengine - INFO - Epoch(train) [7][2660/3757] lr: 1.000e-02 eta: 1 day, 3:01:57 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.6918 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5689 loss: 2.5689 2022/06/29 16:06:13 - mmengine - INFO - Epoch(train) [7][2680/3757] lr: 1.000e-02 eta: 1 day, 3:01:45 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.8666 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6042 loss: 2.6042 2022/06/29 16:06:18 - mmengine - INFO - Epoch(train) [7][2700/3757] lr: 1.000e-02 eta: 1 day, 3:01:33 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.0783 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6682 loss: 2.6682 2022/06/29 16:06:23 - mmengine - INFO - Epoch(train) [7][2720/3757] lr: 1.000e-02 eta: 1 day, 3:01:20 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.1053 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6083 loss: 2.6083 2022/06/29 16:06:33 - mmengine - INFO - Epoch(train) [7][2740/3757] lr: 1.000e-02 eta: 1 day, 3:02:14 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 5.7017 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8123 loss: 2.8123 2022/06/29 16:06:38 - mmengine - INFO - Epoch(train) [7][2760/3757] lr: 1.000e-02 eta: 1 day, 3:02:01 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 5.3508 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7520 loss: 2.7520 2022/06/29 16:06:43 - mmengine - INFO - Epoch(train) [7][2780/3757] lr: 1.000e-02 eta: 1 day, 3:01:58 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.3091 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4916 loss: 2.4916 2022/06/29 16:06:49 - mmengine - INFO - Epoch(train) [7][2800/3757] lr: 1.000e-02 eta: 1 day, 3:01:53 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 5.5036 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4433 loss: 2.4433 2022/06/29 16:06:54 - mmengine - INFO - Epoch(train) [7][2820/3757] lr: 1.000e-02 eta: 1 day, 3:01:40 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 5.5191 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2535 loss: 2.2535 2022/06/29 16:07:00 - mmengine - INFO - Epoch(train) [7][2840/3757] lr: 1.000e-02 eta: 1 day, 3:01:36 time: 0.239 data_time: 0.008 memory: 6404 grad_norm: 5.7681 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1741 loss: 2.1741 2022/06/29 16:07:05 - mmengine - INFO - Epoch(train) [7][2860/3757] lr: 1.000e-02 eta: 1 day, 3:01:32 time: 0.303 data_time: 0.008 memory: 6404 grad_norm: 5.5011 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5613 loss: 2.5613 2022/06/29 16:07:10 - mmengine - INFO - Epoch(train) [7][2880/3757] lr: 1.000e-02 eta: 1 day, 3:01:20 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 5.5083 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4950 loss: 2.4950 2022/06/29 16:07:16 - mmengine - INFO - Epoch(train) [7][2900/3757] lr: 1.000e-02 eta: 1 day, 3:01:11 time: 0.390 data_time: 0.172 memory: 6404 grad_norm: 5.8092 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5386 loss: 2.5386 2022/06/29 16:07:21 - mmengine - INFO - Epoch(train) [7][2920/3757] lr: 1.000e-02 eta: 1 day, 3:00:59 time: 0.246 data_time: 0.013 memory: 6404 grad_norm: 6.1285 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2008 loss: 2.2008 2022/06/29 16:07:26 - mmengine - INFO - Epoch(train) [7][2940/3757] lr: 1.000e-02 eta: 1 day, 3:00:52 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.7129 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9023 loss: 2.9023 2022/06/29 16:07:32 - mmengine - INFO - Epoch(train) [7][2960/3757] lr: 1.000e-02 eta: 1 day, 3:00:48 time: 0.282 data_time: 0.010 memory: 6404 grad_norm: 5.3346 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1727 loss: 2.1727 2022/06/29 16:07:38 - mmengine - INFO - Epoch(train) [7][2980/3757] lr: 1.000e-02 eta: 1 day, 3:00:45 time: 0.266 data_time: 0.021 memory: 6404 grad_norm: 5.1706 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5802 loss: 2.5802 2022/06/29 16:07:43 - mmengine - INFO - Epoch(train) [7][3000/3757] lr: 1.000e-02 eta: 1 day, 3:00:36 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.7069 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4546 loss: 2.4546 2022/06/29 16:07:48 - mmengine - INFO - Epoch(train) [7][3020/3757] lr: 1.000e-02 eta: 1 day, 3:00:30 time: 0.282 data_time: 0.012 memory: 6404 grad_norm: 5.2655 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2978 loss: 2.2978 2022/06/29 16:07:54 - mmengine - INFO - Epoch(train) [7][3040/3757] lr: 1.000e-02 eta: 1 day, 3:00:22 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 6.1145 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7071 loss: 2.7071 2022/06/29 16:08:00 - mmengine - INFO - Epoch(train) [7][3060/3757] lr: 1.000e-02 eta: 1 day, 3:00:19 time: 0.602 data_time: 0.007 memory: 6404 grad_norm: 5.8069 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8092 loss: 1.8092 2022/06/29 16:08:05 - mmengine - INFO - Epoch(train) [7][3080/3757] lr: 1.000e-02 eta: 1 day, 3:00:14 time: 0.311 data_time: 0.009 memory: 6404 grad_norm: 5.0428 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3598 loss: 2.3598 2022/06/29 16:08:11 - mmengine - INFO - Epoch(train) [7][3100/3757] lr: 1.000e-02 eta: 1 day, 3:00:06 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.0985 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2829 loss: 2.2829 2022/06/29 16:08:16 - mmengine - INFO - Epoch(train) [7][3120/3757] lr: 1.000e-02 eta: 1 day, 3:00:06 time: 0.274 data_time: 0.012 memory: 6404 grad_norm: 6.0127 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8230 loss: 2.8230 2022/06/29 16:08:22 - mmengine - INFO - Epoch(train) [7][3140/3757] lr: 1.000e-02 eta: 1 day, 2:59:57 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 5.5614 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4418 loss: 2.4418 2022/06/29 16:08:27 - mmengine - INFO - Epoch(train) [7][3160/3757] lr: 1.000e-02 eta: 1 day, 2:59:48 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 5.3218 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9632 loss: 2.9632 2022/06/29 16:08:32 - mmengine - INFO - Epoch(train) [7][3180/3757] lr: 1.000e-02 eta: 1 day, 2:59:37 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 5.3326 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4606 loss: 2.4606 2022/06/29 16:08:37 - mmengine - INFO - Epoch(train) [7][3200/3757] lr: 1.000e-02 eta: 1 day, 2:59:27 time: 0.246 data_time: 0.028 memory: 6404 grad_norm: 6.5423 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4834 loss: 2.4834 2022/06/29 16:08:43 - mmengine - INFO - Epoch(train) [7][3220/3757] lr: 1.000e-02 eta: 1 day, 2:59:19 time: 0.242 data_time: 0.012 memory: 6404 grad_norm: 5.8932 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9376 loss: 2.9376 2022/06/29 16:08:49 - mmengine - INFO - Epoch(train) [7][3240/3757] lr: 1.000e-02 eta: 1 day, 2:59:20 time: 0.909 data_time: 0.008 memory: 6404 grad_norm: 5.7690 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.4445 loss: 2.4445 2022/06/29 16:08:54 - mmengine - INFO - Epoch(train) [7][3260/3757] lr: 1.000e-02 eta: 1 day, 2:59:09 time: 0.242 data_time: 0.045 memory: 6404 grad_norm: 5.3616 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2579 loss: 2.2579 2022/06/29 16:08:59 - mmengine - INFO - Epoch(train) [7][3280/3757] lr: 1.000e-02 eta: 1 day, 2:58:56 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 4.9154 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5742 loss: 2.5742 2022/06/29 16:09:04 - mmengine - INFO - Epoch(train) [7][3300/3757] lr: 1.000e-02 eta: 1 day, 2:58:46 time: 0.435 data_time: 0.007 memory: 6404 grad_norm: 6.4261 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5511 loss: 2.5511 2022/06/29 16:09:10 - mmengine - INFO - Epoch(train) [7][3320/3757] lr: 1.000e-02 eta: 1 day, 2:58:48 time: 0.233 data_time: 0.024 memory: 6404 grad_norm: 5.2284 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.5427 loss: 2.5427 2022/06/29 16:09:17 - mmengine - INFO - Epoch(train) [7][3340/3757] lr: 1.000e-02 eta: 1 day, 2:58:56 time: 0.264 data_time: 0.009 memory: 6404 grad_norm: 5.6876 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4574 loss: 2.4574 2022/06/29 16:09:22 - mmengine - INFO - Epoch(train) [7][3360/3757] lr: 1.000e-02 eta: 1 day, 2:58:44 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 5.5158 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9682 loss: 2.9682 2022/06/29 16:09:27 - mmengine - INFO - Epoch(train) [7][3380/3757] lr: 1.000e-02 eta: 1 day, 2:58:35 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 5.0298 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4553 loss: 2.4553 2022/06/29 16:09:32 - mmengine - INFO - Epoch(train) [7][3400/3757] lr: 1.000e-02 eta: 1 day, 2:58:23 time: 0.270 data_time: 0.007 memory: 6404 grad_norm: 5.4893 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2889 loss: 2.2889 2022/06/29 16:09:39 - mmengine - INFO - Epoch(train) [7][3420/3757] lr: 1.000e-02 eta: 1 day, 2:58:29 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 5.3704 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3201 loss: 2.3201 2022/06/29 16:09:44 - mmengine - INFO - Epoch(train) [7][3440/3757] lr: 1.000e-02 eta: 1 day, 2:58:17 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 4.8765 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6747 loss: 2.6747 2022/06/29 16:09:49 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 16:09:49 - mmengine - INFO - Epoch(train) [7][3460/3757] lr: 1.000e-02 eta: 1 day, 2:58:09 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.2278 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3641 loss: 2.3641 2022/06/29 16:09:55 - mmengine - INFO - Epoch(train) [7][3480/3757] lr: 1.000e-02 eta: 1 day, 2:58:07 time: 0.274 data_time: 0.008 memory: 6404 grad_norm: 5.4241 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8043 loss: 2.8043 2022/06/29 16:10:01 - mmengine - INFO - Epoch(train) [7][3500/3757] lr: 1.000e-02 eta: 1 day, 2:58:00 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 5.7508 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2160 loss: 2.2160 2022/06/29 16:10:07 - mmengine - INFO - Epoch(train) [7][3520/3757] lr: 1.000e-02 eta: 1 day, 2:58:05 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.3153 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5453 loss: 2.5453 2022/06/29 16:10:12 - mmengine - INFO - Epoch(train) [7][3540/3757] lr: 1.000e-02 eta: 1 day, 2:57:53 time: 0.261 data_time: 0.006 memory: 6404 grad_norm: 5.7655 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9188 loss: 2.9188 2022/06/29 16:10:17 - mmengine - INFO - Epoch(train) [7][3560/3757] lr: 1.000e-02 eta: 1 day, 2:57:39 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.6005 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1219 loss: 2.1219 2022/06/29 16:10:22 - mmengine - INFO - Epoch(train) [7][3580/3757] lr: 1.000e-02 eta: 1 day, 2:57:29 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 5.1896 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3119 loss: 2.3119 2022/06/29 16:10:27 - mmengine - INFO - Epoch(train) [7][3600/3757] lr: 1.000e-02 eta: 1 day, 2:57:19 time: 0.296 data_time: 0.007 memory: 6404 grad_norm: 5.1362 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3540 loss: 2.3540 2022/06/29 16:10:32 - mmengine - INFO - Epoch(train) [7][3620/3757] lr: 1.000e-02 eta: 1 day, 2:57:06 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 5.2128 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5626 loss: 2.5626 2022/06/29 16:10:38 - mmengine - INFO - Epoch(train) [7][3640/3757] lr: 1.000e-02 eta: 1 day, 2:56:58 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 5.4667 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4109 loss: 2.4109 2022/06/29 16:10:44 - mmengine - INFO - Epoch(train) [7][3660/3757] lr: 1.000e-02 eta: 1 day, 2:57:01 time: 0.281 data_time: 0.015 memory: 6404 grad_norm: 5.6175 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4133 loss: 2.4133 2022/06/29 16:10:49 - mmengine - INFO - Epoch(train) [7][3680/3757] lr: 1.000e-02 eta: 1 day, 2:56:55 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 4.7981 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7702 loss: 2.7702 2022/06/29 16:10:54 - mmengine - INFO - Epoch(train) [7][3700/3757] lr: 1.000e-02 eta: 1 day, 2:56:43 time: 0.263 data_time: 0.006 memory: 6404 grad_norm: 5.7651 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6521 loss: 2.6521 2022/06/29 16:11:00 - mmengine - INFO - Epoch(train) [7][3720/3757] lr: 1.000e-02 eta: 1 day, 2:56:43 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.8146 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7668 loss: 2.7668 2022/06/29 16:11:06 - mmengine - INFO - Epoch(train) [7][3740/3757] lr: 1.000e-02 eta: 1 day, 2:56:33 time: 0.289 data_time: 0.008 memory: 6404 grad_norm: 5.3168 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4354 loss: 2.4354 2022/06/29 16:11:10 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 16:11:17 - mmengine - INFO - Epoch(val) [7][20/310] eta: 0:01:31 time: 0.094 data_time: 0.016 memory: 6404 2022/06/29 16:11:23 - mmengine - INFO - Epoch(val) [7][40/310] eta: 0:01:16 time: 0.086 data_time: 0.006 memory: 1479 2022/06/29 16:11:26 - mmengine - INFO - Epoch(val) [7][60/310] eta: 0:00:23 time: 0.099 data_time: 0.020 memory: 1479 2022/06/29 16:11:32 - mmengine - INFO - Epoch(val) [7][80/310] eta: 0:01:11 time: 0.094 data_time: 0.014 memory: 1479 2022/06/29 16:11:38 - mmengine - INFO - Epoch(val) [7][100/310] eta: 0:01:01 time: 0.312 data_time: 0.235 memory: 1479 2022/06/29 16:11:43 - mmengine - INFO - Epoch(val) [7][120/310] eta: 0:00:27 time: 0.089 data_time: 0.009 memory: 1479 2022/06/29 16:11:49 - mmengine - INFO - Epoch(val) [7][140/310] eta: 0:00:50 time: 0.111 data_time: 0.021 memory: 1479 2022/06/29 16:11:54 - mmengine - INFO - Epoch(val) [7][160/310] eta: 0:00:44 time: 0.086 data_time: 0.006 memory: 1479 2022/06/29 16:11:58 - mmengine - INFO - Epoch(val) [7][180/310] eta: 0:00:14 time: 0.086 data_time: 0.008 memory: 1479 2022/06/29 16:12:05 - mmengine - INFO - Epoch(val) [7][200/310] eta: 0:00:28 time: 0.104 data_time: 0.031 memory: 1479 2022/06/29 16:12:10 - mmengine - INFO - Epoch(val) [7][220/310] eta: 0:00:23 time: 0.089 data_time: 0.005 memory: 1479 2022/06/29 16:12:15 - mmengine - INFO - Epoch(val) [7][240/310] eta: 0:00:12 time: 0.079 data_time: 0.006 memory: 1479 2022/06/29 16:12:20 - mmengine - INFO - Epoch(val) [7][260/310] eta: 0:00:14 time: 0.154 data_time: 0.076 memory: 1479 2022/06/29 16:12:26 - mmengine - INFO - Epoch(val) [7][280/310] eta: 0:00:09 time: 0.129 data_time: 0.006 memory: 1479 2022/06/29 16:12:30 - mmengine - INFO - Epoch(val) [7][300/310] eta: 0:00:01 time: 0.081 data_time: 0.008 memory: 1479 2022/06/29 16:12:34 - mmengine - INFO - Epoch(val) [7][310/310] acc/top1: 0.4855 acc/top5: 0.7555 acc/mean1: 0.4853 2022/06/29 16:12:43 - mmengine - INFO - Epoch(train) [8][20/3757] lr: 1.000e-02 eta: 1 day, 2:56:38 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 5.1186 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3727 loss: 2.3727 2022/06/29 16:12:49 - mmengine - INFO - Epoch(train) [8][40/3757] lr: 1.000e-02 eta: 1 day, 2:56:29 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.6414 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2743 loss: 2.2743 2022/06/29 16:12:58 - mmengine - INFO - Epoch(train) [8][60/3757] lr: 1.000e-02 eta: 1 day, 2:57:17 time: 0.310 data_time: 0.010 memory: 6404 grad_norm: 6.2998 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4528 loss: 2.4528 2022/06/29 16:13:05 - mmengine - INFO - Epoch(train) [8][80/3757] lr: 1.000e-02 eta: 1 day, 2:57:25 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.6783 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5605 loss: 2.5605 2022/06/29 16:13:10 - mmengine - INFO - Epoch(train) [8][100/3757] lr: 1.000e-02 eta: 1 day, 2:57:12 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 5.1390 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9477 loss: 2.9477 2022/06/29 16:13:15 - mmengine - INFO - Epoch(train) [8][120/3757] lr: 1.000e-02 eta: 1 day, 2:56:59 time: 0.239 data_time: 0.010 memory: 6404 grad_norm: 6.0879 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2043 loss: 2.2043 2022/06/29 16:13:20 - mmengine - INFO - Epoch(train) [8][140/3757] lr: 1.000e-02 eta: 1 day, 2:56:46 time: 0.243 data_time: 0.006 memory: 6404 grad_norm: 5.7908 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6824 loss: 2.6824 2022/06/29 16:13:25 - mmengine - INFO - Epoch(train) [8][160/3757] lr: 1.000e-02 eta: 1 day, 2:56:34 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.9623 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1350 loss: 2.1350 2022/06/29 16:13:30 - mmengine - INFO - Epoch(train) [8][180/3757] lr: 1.000e-02 eta: 1 day, 2:56:27 time: 0.245 data_time: 0.018 memory: 6404 grad_norm: 4.6008 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3139 loss: 2.3139 2022/06/29 16:13:36 - mmengine - INFO - Epoch(train) [8][200/3757] lr: 1.000e-02 eta: 1 day, 2:56:24 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 6.6695 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3141 loss: 2.3141 2022/06/29 16:13:42 - mmengine - INFO - Epoch(train) [8][220/3757] lr: 1.000e-02 eta: 1 day, 2:56:20 time: 0.244 data_time: 0.009 memory: 6404 grad_norm: 6.1821 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2388 loss: 2.2388 2022/06/29 16:13:47 - mmengine - INFO - Epoch(train) [8][240/3757] lr: 1.000e-02 eta: 1 day, 2:56:08 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 5.0848 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2367 loss: 2.2367 2022/06/29 16:13:53 - mmengine - INFO - Epoch(train) [8][260/3757] lr: 1.000e-02 eta: 1 day, 2:56:05 time: 0.244 data_time: 0.015 memory: 6404 grad_norm: 5.3242 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8228 loss: 2.8228 2022/06/29 16:13:58 - mmengine - INFO - Epoch(train) [8][280/3757] lr: 1.000e-02 eta: 1 day, 2:55:57 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 6.0781 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0215 loss: 2.0215 2022/06/29 16:14:04 - mmengine - INFO - Epoch(train) [8][300/3757] lr: 1.000e-02 eta: 1 day, 2:55:52 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 6.0271 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2811 loss: 2.2811 2022/06/29 16:14:09 - mmengine - INFO - Epoch(train) [8][320/3757] lr: 1.000e-02 eta: 1 day, 2:55:45 time: 0.238 data_time: 0.015 memory: 6404 grad_norm: 5.9248 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4195 loss: 2.4195 2022/06/29 16:14:15 - mmengine - INFO - Epoch(train) [8][340/3757] lr: 1.000e-02 eta: 1 day, 2:55:42 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 6.5836 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4327 loss: 2.4327 2022/06/29 16:14:21 - mmengine - INFO - Epoch(train) [8][360/3757] lr: 1.000e-02 eta: 1 day, 2:55:42 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.9167 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0429 loss: 2.0429 2022/06/29 16:14:26 - mmengine - INFO - Epoch(train) [8][380/3757] lr: 1.000e-02 eta: 1 day, 2:55:31 time: 0.326 data_time: 0.015 memory: 6404 grad_norm: 5.4066 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7585 loss: 2.7585 2022/06/29 16:14:31 - mmengine - INFO - Epoch(train) [8][400/3757] lr: 1.000e-02 eta: 1 day, 2:55:19 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 6.4629 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4651 loss: 2.4651 2022/06/29 16:14:36 - mmengine - INFO - Epoch(train) [8][420/3757] lr: 1.000e-02 eta: 1 day, 2:55:09 time: 0.253 data_time: 0.024 memory: 6404 grad_norm: 5.9537 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4245 loss: 2.4245 2022/06/29 16:14:42 - mmengine - INFO - Epoch(train) [8][440/3757] lr: 1.000e-02 eta: 1 day, 2:55:04 time: 0.241 data_time: 0.018 memory: 6404 grad_norm: 5.8707 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1060 loss: 2.1060 2022/06/29 16:14:47 - mmengine - INFO - Epoch(train) [8][460/3757] lr: 1.000e-02 eta: 1 day, 2:55:00 time: 0.290 data_time: 0.023 memory: 6404 grad_norm: 6.1065 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2959 loss: 2.2959 2022/06/29 16:14:53 - mmengine - INFO - Epoch(train) [8][480/3757] lr: 1.000e-02 eta: 1 day, 2:54:55 time: 0.473 data_time: 0.006 memory: 6404 grad_norm: 5.7441 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6515 loss: 2.6515 2022/06/29 16:14:58 - mmengine - INFO - Epoch(train) [8][500/3757] lr: 1.000e-02 eta: 1 day, 2:54:44 time: 0.250 data_time: 0.014 memory: 6404 grad_norm: 5.9637 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.7354 loss: 2.7354 2022/06/29 16:15:04 - mmengine - INFO - Epoch(train) [8][520/3757] lr: 1.000e-02 eta: 1 day, 2:54:39 time: 0.251 data_time: 0.028 memory: 6404 grad_norm: 5.4541 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2686 loss: 2.2686 2022/06/29 16:15:09 - mmengine - INFO - Epoch(train) [8][540/3757] lr: 1.000e-02 eta: 1 day, 2:54:32 time: 0.258 data_time: 0.019 memory: 6404 grad_norm: 5.0651 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7461 loss: 2.7461 2022/06/29 16:15:14 - mmengine - INFO - Epoch(train) [8][560/3757] lr: 1.000e-02 eta: 1 day, 2:54:20 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.1035 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4579 loss: 2.4579 2022/06/29 16:15:20 - mmengine - INFO - Epoch(train) [8][580/3757] lr: 1.000e-02 eta: 1 day, 2:54:09 time: 0.250 data_time: 0.019 memory: 6404 grad_norm: 5.3810 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3561 loss: 2.3561 2022/06/29 16:15:26 - mmengine - INFO - Epoch(train) [8][600/3757] lr: 1.000e-02 eta: 1 day, 2:54:10 time: 0.258 data_time: 0.018 memory: 6404 grad_norm: 5.1871 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4172 loss: 2.4172 2022/06/29 16:15:32 - mmengine - INFO - Epoch(train) [8][620/3757] lr: 1.000e-02 eta: 1 day, 2:54:13 time: 0.264 data_time: 0.015 memory: 6404 grad_norm: 5.5172 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4881 loss: 2.4881 2022/06/29 16:15:37 - mmengine - INFO - Epoch(train) [8][640/3757] lr: 1.000e-02 eta: 1 day, 2:54:01 time: 0.241 data_time: 0.039 memory: 6404 grad_norm: 5.3765 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3823 loss: 2.3823 2022/06/29 16:15:42 - mmengine - INFO - Epoch(train) [8][660/3757] lr: 1.000e-02 eta: 1 day, 2:53:50 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 5.3572 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1430 loss: 2.1430 2022/06/29 16:15:47 - mmengine - INFO - Epoch(train) [8][680/3757] lr: 1.000e-02 eta: 1 day, 2:53:40 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 5.7619 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1611 loss: 2.1611 2022/06/29 16:15:52 - mmengine - INFO - Epoch(train) [8][700/3757] lr: 1.000e-02 eta: 1 day, 2:53:30 time: 0.257 data_time: 0.037 memory: 6404 grad_norm: 6.3470 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7029 loss: 2.7029 2022/06/29 16:15:53 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 16:15:58 - mmengine - INFO - Epoch(train) [8][720/3757] lr: 1.000e-02 eta: 1 day, 2:53:26 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 6.4442 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8511 loss: 2.8511 2022/06/29 16:16:04 - mmengine - INFO - Epoch(train) [8][740/3757] lr: 1.000e-02 eta: 1 day, 2:53:22 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 5.7793 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5768 loss: 2.5768 2022/06/29 16:16:09 - mmengine - INFO - Epoch(train) [8][760/3757] lr: 1.000e-02 eta: 1 day, 2:53:10 time: 0.242 data_time: 0.013 memory: 6404 grad_norm: 5.4511 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2362 loss: 2.2362 2022/06/29 16:16:14 - mmengine - INFO - Epoch(train) [8][780/3757] lr: 1.000e-02 eta: 1 day, 2:53:05 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.7013 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5845 loss: 2.5845 2022/06/29 16:16:20 - mmengine - INFO - Epoch(train) [8][800/3757] lr: 1.000e-02 eta: 1 day, 2:53:00 time: 0.562 data_time: 0.013 memory: 6404 grad_norm: 5.2559 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2891 loss: 2.2891 2022/06/29 16:16:25 - mmengine - INFO - Epoch(train) [8][820/3757] lr: 1.000e-02 eta: 1 day, 2:52:51 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 5.4998 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3339 loss: 2.3339 2022/06/29 16:16:31 - mmengine - INFO - Epoch(train) [8][840/3757] lr: 1.000e-02 eta: 1 day, 2:52:44 time: 0.242 data_time: 0.009 memory: 6404 grad_norm: 5.4651 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7547 loss: 2.7547 2022/06/29 16:16:36 - mmengine - INFO - Epoch(train) [8][860/3757] lr: 1.000e-02 eta: 1 day, 2:52:41 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 5.7338 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5102 loss: 2.5102 2022/06/29 16:16:42 - mmengine - INFO - Epoch(train) [8][880/3757] lr: 1.000e-02 eta: 1 day, 2:52:36 time: 0.249 data_time: 0.025 memory: 6404 grad_norm: 6.3966 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4519 loss: 2.4519 2022/06/29 16:16:47 - mmengine - INFO - Epoch(train) [8][900/3757] lr: 1.000e-02 eta: 1 day, 2:52:28 time: 0.281 data_time: 0.007 memory: 6404 grad_norm: 5.4815 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2973 loss: 2.2973 2022/06/29 16:16:53 - mmengine - INFO - Epoch(train) [8][920/3757] lr: 1.000e-02 eta: 1 day, 2:52:19 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.3877 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2870 loss: 2.2870 2022/06/29 16:16:58 - mmengine - INFO - Epoch(train) [8][940/3757] lr: 1.000e-02 eta: 1 day, 2:52:16 time: 0.249 data_time: 0.062 memory: 6404 grad_norm: 6.6089 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9907 loss: 1.9907 2022/06/29 16:17:04 - mmengine - INFO - Epoch(train) [8][960/3757] lr: 1.000e-02 eta: 1 day, 2:52:08 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 5.2485 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3700 loss: 2.3700 2022/06/29 16:17:10 - mmengine - INFO - Epoch(train) [8][980/3757] lr: 1.000e-02 eta: 1 day, 2:52:05 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.7515 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1255 loss: 2.1255 2022/06/29 16:17:15 - mmengine - INFO - Epoch(train) [8][1000/3757] lr: 1.000e-02 eta: 1 day, 2:51:52 time: 0.243 data_time: 0.048 memory: 6404 grad_norm: 5.6284 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2862 loss: 2.2862 2022/06/29 16:17:20 - mmengine - INFO - Epoch(train) [8][1020/3757] lr: 1.000e-02 eta: 1 day, 2:51:42 time: 0.249 data_time: 0.019 memory: 6404 grad_norm: 5.1544 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2059 loss: 2.2059 2022/06/29 16:17:25 - mmengine - INFO - Epoch(train) [8][1040/3757] lr: 1.000e-02 eta: 1 day, 2:51:36 time: 0.256 data_time: 0.037 memory: 6404 grad_norm: 6.0117 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5942 loss: 2.5942 2022/06/29 16:17:31 - mmengine - INFO - Epoch(train) [8][1060/3757] lr: 1.000e-02 eta: 1 day, 2:51:30 time: 0.252 data_time: 0.027 memory: 6404 grad_norm: 6.1034 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0869 loss: 2.0869 2022/06/29 16:17:36 - mmengine - INFO - Epoch(train) [8][1080/3757] lr: 1.000e-02 eta: 1 day, 2:51:22 time: 0.271 data_time: 0.010 memory: 6404 grad_norm: 5.3374 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2432 loss: 2.2432 2022/06/29 16:17:42 - mmengine - INFO - Epoch(train) [8][1100/3757] lr: 1.000e-02 eta: 1 day, 2:51:19 time: 0.250 data_time: 0.021 memory: 6404 grad_norm: 5.4632 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5621 loss: 2.5621 2022/06/29 16:17:47 - mmengine - INFO - Epoch(train) [8][1120/3757] lr: 1.000e-02 eta: 1 day, 2:51:09 time: 0.241 data_time: 0.035 memory: 6404 grad_norm: 5.6020 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9667 loss: 1.9667 2022/06/29 16:17:52 - mmengine - INFO - Epoch(train) [8][1140/3757] lr: 1.000e-02 eta: 1 day, 2:51:01 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.1842 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7431 loss: 2.7431 2022/06/29 16:17:58 - mmengine - INFO - Epoch(train) [8][1160/3757] lr: 1.000e-02 eta: 1 day, 2:50:54 time: 0.258 data_time: 0.013 memory: 6404 grad_norm: 5.9557 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7562 loss: 2.7562 2022/06/29 16:18:03 - mmengine - INFO - Epoch(train) [8][1180/3757] lr: 1.000e-02 eta: 1 day, 2:50:42 time: 0.251 data_time: 0.023 memory: 6404 grad_norm: 4.9344 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1036 loss: 2.1036 2022/06/29 16:18:08 - mmengine - INFO - Epoch(train) [8][1200/3757] lr: 1.000e-02 eta: 1 day, 2:50:33 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 5.5913 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4088 loss: 2.4088 2022/06/29 16:18:14 - mmengine - INFO - Epoch(train) [8][1220/3757] lr: 1.000e-02 eta: 1 day, 2:50:34 time: 0.682 data_time: 0.016 memory: 6404 grad_norm: 6.3318 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3432 loss: 2.3432 2022/06/29 16:18:20 - mmengine - INFO - Epoch(train) [8][1240/3757] lr: 1.000e-02 eta: 1 day, 2:50:24 time: 0.241 data_time: 0.018 memory: 6404 grad_norm: 5.2299 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0397 loss: 2.0397 2022/06/29 16:18:25 - mmengine - INFO - Epoch(train) [8][1260/3757] lr: 1.000e-02 eta: 1 day, 2:50:15 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.6936 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6421 loss: 2.6421 2022/06/29 16:18:30 - mmengine - INFO - Epoch(train) [8][1280/3757] lr: 1.000e-02 eta: 1 day, 2:50:06 time: 0.277 data_time: 0.025 memory: 6404 grad_norm: 5.4179 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5303 loss: 2.5303 2022/06/29 16:18:37 - mmengine - INFO - Epoch(train) [8][1300/3757] lr: 1.000e-02 eta: 1 day, 2:50:12 time: 0.262 data_time: 0.020 memory: 6404 grad_norm: 4.8456 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0543 loss: 2.0543 2022/06/29 16:18:42 - mmengine - INFO - Epoch(train) [8][1320/3757] lr: 1.000e-02 eta: 1 day, 2:50:02 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 5.5345 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2525 loss: 2.2525 2022/06/29 16:18:47 - mmengine - INFO - Epoch(train) [8][1340/3757] lr: 1.000e-02 eta: 1 day, 2:49:52 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 4.8485 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4475 loss: 2.4475 2022/06/29 16:18:52 - mmengine - INFO - Epoch(train) [8][1360/3757] lr: 1.000e-02 eta: 1 day, 2:49:44 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 5.6254 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3983 loss: 2.3983 2022/06/29 16:18:58 - mmengine - INFO - Epoch(train) [8][1380/3757] lr: 1.000e-02 eta: 1 day, 2:49:37 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.6789 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.5646 loss: 2.5646 2022/06/29 16:19:03 - mmengine - INFO - Epoch(train) [8][1400/3757] lr: 1.000e-02 eta: 1 day, 2:49:32 time: 0.306 data_time: 0.010 memory: 6404 grad_norm: 5.4943 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3593 loss: 2.3593 2022/06/29 16:19:09 - mmengine - INFO - Epoch(train) [8][1420/3757] lr: 1.000e-02 eta: 1 day, 2:49:22 time: 0.255 data_time: 0.012 memory: 6404 grad_norm: 5.6002 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0978 loss: 2.0978 2022/06/29 16:19:14 - mmengine - INFO - Epoch(train) [8][1440/3757] lr: 1.000e-02 eta: 1 day, 2:49:17 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 5.6488 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5850 loss: 2.5850 2022/06/29 16:19:19 - mmengine - INFO - Epoch(train) [8][1460/3757] lr: 1.000e-02 eta: 1 day, 2:49:09 time: 0.498 data_time: 0.022 memory: 6404 grad_norm: 5.2161 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4382 loss: 2.4382 2022/06/29 16:19:25 - mmengine - INFO - Epoch(train) [8][1480/3757] lr: 1.000e-02 eta: 1 day, 2:48:59 time: 0.246 data_time: 0.016 memory: 6404 grad_norm: 4.7065 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3463 loss: 2.3463 2022/06/29 16:19:31 - mmengine - INFO - Epoch(train) [8][1500/3757] lr: 1.000e-02 eta: 1 day, 2:48:59 time: 0.245 data_time: 0.012 memory: 6404 grad_norm: 5.8117 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3575 loss: 2.3575 2022/06/29 16:19:36 - mmengine - INFO - Epoch(train) [8][1520/3757] lr: 1.000e-02 eta: 1 day, 2:48:54 time: 0.246 data_time: 0.021 memory: 6404 grad_norm: 4.8825 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3510 loss: 2.3510 2022/06/29 16:19:41 - mmengine - INFO - Epoch(train) [8][1540/3757] lr: 1.000e-02 eta: 1 day, 2:48:44 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 5.0905 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7562 loss: 2.7562 2022/06/29 16:19:47 - mmengine - INFO - Epoch(train) [8][1560/3757] lr: 1.000e-02 eta: 1 day, 2:48:41 time: 0.538 data_time: 0.006 memory: 6404 grad_norm: 5.5406 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3165 loss: 2.3165 2022/06/29 16:19:53 - mmengine - INFO - Epoch(train) [8][1580/3757] lr: 1.000e-02 eta: 1 day, 2:48:33 time: 0.269 data_time: 0.019 memory: 6404 grad_norm: 6.3822 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5545 loss: 2.5545 2022/06/29 16:19:58 - mmengine - INFO - Epoch(train) [8][1600/3757] lr: 1.000e-02 eta: 1 day, 2:48:28 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.1240 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2340 loss: 2.2340 2022/06/29 16:20:04 - mmengine - INFO - Epoch(train) [8][1620/3757] lr: 1.000e-02 eta: 1 day, 2:48:30 time: 0.781 data_time: 0.008 memory: 6404 grad_norm: 4.9010 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4189 loss: 2.4189 2022/06/29 16:20:10 - mmengine - INFO - Epoch(train) [8][1640/3757] lr: 1.000e-02 eta: 1 day, 2:48:21 time: 0.276 data_time: 0.023 memory: 6404 grad_norm: 6.0644 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4455 loss: 2.4455 2022/06/29 16:20:15 - mmengine - INFO - Epoch(train) [8][1660/3757] lr: 1.000e-02 eta: 1 day, 2:48:14 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.5850 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4066 loss: 2.4066 2022/06/29 16:20:21 - mmengine - INFO - Epoch(train) [8][1680/3757] lr: 1.000e-02 eta: 1 day, 2:48:10 time: 0.795 data_time: 0.013 memory: 6404 grad_norm: 5.7600 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5981 loss: 2.5981 2022/06/29 16:20:26 - mmengine - INFO - Epoch(train) [8][1700/3757] lr: 1.000e-02 eta: 1 day, 2:48:00 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 5.4088 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3735 loss: 2.3735 2022/06/29 16:20:26 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 16:20:31 - mmengine - INFO - Epoch(train) [8][1720/3757] lr: 1.000e-02 eta: 1 day, 2:47:50 time: 0.243 data_time: 0.016 memory: 6404 grad_norm: 5.9812 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9737 loss: 1.9737 2022/06/29 16:20:37 - mmengine - INFO - Epoch(train) [8][1740/3757] lr: 1.000e-02 eta: 1 day, 2:47:47 time: 0.904 data_time: 0.011 memory: 6404 grad_norm: 5.5652 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3874 loss: 2.3874 2022/06/29 16:20:42 - mmengine - INFO - Epoch(train) [8][1760/3757] lr: 1.000e-02 eta: 1 day, 2:47:36 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 5.6787 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3292 loss: 2.3292 2022/06/29 16:20:47 - mmengine - INFO - Epoch(train) [8][1780/3757] lr: 1.000e-02 eta: 1 day, 2:47:25 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.6006 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5409 loss: 2.5409 2022/06/29 16:20:52 - mmengine - INFO - Epoch(train) [8][1800/3757] lr: 1.000e-02 eta: 1 day, 2:47:15 time: 0.412 data_time: 0.006 memory: 6404 grad_norm: 4.8991 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2301 loss: 2.2301 2022/06/29 16:20:58 - mmengine - INFO - Epoch(train) [8][1820/3757] lr: 1.000e-02 eta: 1 day, 2:47:07 time: 0.261 data_time: 0.009 memory: 6404 grad_norm: 4.8285 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3325 loss: 2.3325 2022/06/29 16:21:03 - mmengine - INFO - Epoch(train) [8][1840/3757] lr: 1.000e-02 eta: 1 day, 2:47:02 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 5.7325 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4349 loss: 2.4349 2022/06/29 16:21:09 - mmengine - INFO - Epoch(train) [8][1860/3757] lr: 1.000e-02 eta: 1 day, 2:47:01 time: 0.447 data_time: 0.006 memory: 6404 grad_norm: 5.3979 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3568 loss: 2.3568 2022/06/29 16:21:14 - mmengine - INFO - Epoch(train) [8][1880/3757] lr: 1.000e-02 eta: 1 day, 2:46:53 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.6467 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4511 loss: 2.4511 2022/06/29 16:21:20 - mmengine - INFO - Epoch(train) [8][1900/3757] lr: 1.000e-02 eta: 1 day, 2:46:51 time: 0.282 data_time: 0.007 memory: 6404 grad_norm: 4.9506 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4610 loss: 2.4610 2022/06/29 16:21:25 - mmengine - INFO - Epoch(train) [8][1920/3757] lr: 1.000e-02 eta: 1 day, 2:46:40 time: 0.287 data_time: 0.009 memory: 6404 grad_norm: 5.6257 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4575 loss: 2.4575 2022/06/29 16:21:31 - mmengine - INFO - Epoch(train) [8][1940/3757] lr: 1.000e-02 eta: 1 day, 2:46:29 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 5.6362 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1565 loss: 2.1565 2022/06/29 16:21:36 - mmengine - INFO - Epoch(train) [8][1960/3757] lr: 1.000e-02 eta: 1 day, 2:46:22 time: 0.241 data_time: 0.008 memory: 6404 grad_norm: 5.4351 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1209 loss: 2.1209 2022/06/29 16:21:42 - mmengine - INFO - Epoch(train) [8][1980/3757] lr: 1.000e-02 eta: 1 day, 2:46:20 time: 0.511 data_time: 0.006 memory: 6404 grad_norm: 5.9385 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4583 loss: 2.4583 2022/06/29 16:21:47 - mmengine - INFO - Epoch(train) [8][2000/3757] lr: 1.000e-02 eta: 1 day, 2:46:12 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 5.9926 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3744 loss: 2.3744 2022/06/29 16:21:52 - mmengine - INFO - Epoch(train) [8][2020/3757] lr: 1.000e-02 eta: 1 day, 2:46:03 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 5.8019 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0288 loss: 2.0288 2022/06/29 16:21:58 - mmengine - INFO - Epoch(train) [8][2040/3757] lr: 1.000e-02 eta: 1 day, 2:45:55 time: 0.263 data_time: 0.011 memory: 6404 grad_norm: 5.5877 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5832 loss: 2.5832 2022/06/29 16:22:03 - mmengine - INFO - Epoch(train) [8][2060/3757] lr: 1.000e-02 eta: 1 day, 2:45:43 time: 0.247 data_time: 0.019 memory: 6404 grad_norm: 5.3002 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6253 loss: 2.6253 2022/06/29 16:22:08 - mmengine - INFO - Epoch(train) [8][2080/3757] lr: 1.000e-02 eta: 1 day, 2:45:37 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 6.3923 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5900 loss: 2.5900 2022/06/29 16:22:14 - mmengine - INFO - Epoch(train) [8][2100/3757] lr: 1.000e-02 eta: 1 day, 2:45:30 time: 0.271 data_time: 0.008 memory: 6404 grad_norm: 5.4372 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1937 loss: 2.1937 2022/06/29 16:22:20 - mmengine - INFO - Epoch(train) [8][2120/3757] lr: 1.000e-02 eta: 1 day, 2:45:33 time: 0.281 data_time: 0.020 memory: 6404 grad_norm: 5.2234 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1373 loss: 2.1373 2022/06/29 16:22:25 - mmengine - INFO - Epoch(train) [8][2140/3757] lr: 1.000e-02 eta: 1 day, 2:45:22 time: 0.240 data_time: 0.007 memory: 6404 grad_norm: 5.7319 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4915 loss: 2.4915 2022/06/29 16:22:30 - mmengine - INFO - Epoch(train) [8][2160/3757] lr: 1.000e-02 eta: 1 day, 2:45:12 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.9058 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1988 loss: 2.1988 2022/06/29 16:22:36 - mmengine - INFO - Epoch(train) [8][2180/3757] lr: 1.000e-02 eta: 1 day, 2:45:05 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 5.4917 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4326 loss: 2.4326 2022/06/29 16:22:41 - mmengine - INFO - Epoch(train) [8][2200/3757] lr: 1.000e-02 eta: 1 day, 2:45:00 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.6123 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6842 loss: 2.6842 2022/06/29 16:22:47 - mmengine - INFO - Epoch(train) [8][2220/3757] lr: 1.000e-02 eta: 1 day, 2:44:50 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 5.0736 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0393 loss: 2.0393 2022/06/29 16:22:52 - mmengine - INFO - Epoch(train) [8][2240/3757] lr: 1.000e-02 eta: 1 day, 2:44:47 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 5.6627 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2267 loss: 2.2267 2022/06/29 16:22:58 - mmengine - INFO - Epoch(train) [8][2260/3757] lr: 1.000e-02 eta: 1 day, 2:44:43 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 5.6792 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0297 loss: 3.0297 2022/06/29 16:23:03 - mmengine - INFO - Epoch(train) [8][2280/3757] lr: 1.000e-02 eta: 1 day, 2:44:34 time: 0.415 data_time: 0.009 memory: 6404 grad_norm: 5.7164 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8130 loss: 2.8130 2022/06/29 16:23:09 - mmengine - INFO - Epoch(train) [8][2300/3757] lr: 1.000e-02 eta: 1 day, 2:44:25 time: 0.262 data_time: 0.006 memory: 6404 grad_norm: 5.5060 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5936 loss: 2.5936 2022/06/29 16:23:14 - mmengine - INFO - Epoch(train) [8][2320/3757] lr: 1.000e-02 eta: 1 day, 2:44:20 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.5445 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2737 loss: 2.2737 2022/06/29 16:23:20 - mmengine - INFO - Epoch(train) [8][2340/3757] lr: 1.000e-02 eta: 1 day, 2:44:13 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 5.3466 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8717 loss: 1.8717 2022/06/29 16:23:25 - mmengine - INFO - Epoch(train) [8][2360/3757] lr: 1.000e-02 eta: 1 day, 2:44:07 time: 0.269 data_time: 0.006 memory: 6404 grad_norm: 5.3825 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5013 loss: 2.5013 2022/06/29 16:23:30 - mmengine - INFO - Epoch(train) [8][2380/3757] lr: 1.000e-02 eta: 1 day, 2:43:57 time: 0.255 data_time: 0.015 memory: 6404 grad_norm: 5.8334 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.9341 loss: 1.9341 2022/06/29 16:23:36 - mmengine - INFO - Epoch(train) [8][2400/3757] lr: 1.000e-02 eta: 1 day, 2:43:53 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.9242 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1916 loss: 2.1916 2022/06/29 16:23:42 - mmengine - INFO - Epoch(train) [8][2420/3757] lr: 1.000e-02 eta: 1 day, 2:43:53 time: 0.921 data_time: 0.006 memory: 6404 grad_norm: 5.6030 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2496 loss: 2.2496 2022/06/29 16:23:47 - mmengine - INFO - Epoch(train) [8][2440/3757] lr: 1.000e-02 eta: 1 day, 2:43:45 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 5.4692 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6646 loss: 2.6646 2022/06/29 16:23:53 - mmengine - INFO - Epoch(train) [8][2460/3757] lr: 1.000e-02 eta: 1 day, 2:43:39 time: 0.242 data_time: 0.014 memory: 6404 grad_norm: 5.2050 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6173 loss: 2.6173 2022/06/29 16:23:59 - mmengine - INFO - Epoch(train) [8][2480/3757] lr: 1.000e-02 eta: 1 day, 2:43:37 time: 0.491 data_time: 0.007 memory: 6404 grad_norm: 5.2311 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1801 loss: 2.1801 2022/06/29 16:24:04 - mmengine - INFO - Epoch(train) [8][2500/3757] lr: 1.000e-02 eta: 1 day, 2:43:29 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 5.5645 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1774 loss: 2.1774 2022/06/29 16:24:10 - mmengine - INFO - Epoch(train) [8][2520/3757] lr: 1.000e-02 eta: 1 day, 2:43:24 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.8862 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4455 loss: 2.4455 2022/06/29 16:24:15 - mmengine - INFO - Epoch(train) [8][2540/3757] lr: 1.000e-02 eta: 1 day, 2:43:15 time: 0.428 data_time: 0.010 memory: 6404 grad_norm: 4.7552 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7340 loss: 1.7340 2022/06/29 16:24:20 - mmengine - INFO - Epoch(train) [8][2560/3757] lr: 1.000e-02 eta: 1 day, 2:43:08 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 6.4136 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 2.4048 loss: 2.4048 2022/06/29 16:24:26 - mmengine - INFO - Epoch(train) [8][2580/3757] lr: 1.000e-02 eta: 1 day, 2:42:59 time: 0.243 data_time: 0.009 memory: 6404 grad_norm: 5.7272 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7155 loss: 2.7155 2022/06/29 16:24:31 - mmengine - INFO - Epoch(train) [8][2600/3757] lr: 1.000e-02 eta: 1 day, 2:42:50 time: 0.307 data_time: 0.023 memory: 6404 grad_norm: 5.8133 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5706 loss: 2.5706 2022/06/29 16:24:36 - mmengine - INFO - Epoch(train) [8][2620/3757] lr: 1.000e-02 eta: 1 day, 2:42:45 time: 0.259 data_time: 0.016 memory: 6404 grad_norm: 5.3325 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4571 loss: 2.4571 2022/06/29 16:24:42 - mmengine - INFO - Epoch(train) [8][2640/3757] lr: 1.000e-02 eta: 1 day, 2:42:36 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.0975 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4961 loss: 2.4961 2022/06/29 16:24:47 - mmengine - INFO - Epoch(train) [8][2660/3757] lr: 1.000e-02 eta: 1 day, 2:42:25 time: 0.250 data_time: 0.022 memory: 6404 grad_norm: 5.4067 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2940 loss: 2.2940 2022/06/29 16:24:52 - mmengine - INFO - Epoch(train) [8][2680/3757] lr: 1.000e-02 eta: 1 day, 2:42:14 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 5.4279 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4239 loss: 2.4239 2022/06/29 16:24:58 - mmengine - INFO - Epoch(train) [8][2700/3757] lr: 1.000e-02 eta: 1 day, 2:42:11 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 5.1856 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7625 loss: 1.7625 2022/06/29 16:24:58 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 16:25:03 - mmengine - INFO - Epoch(train) [8][2720/3757] lr: 1.000e-02 eta: 1 day, 2:42:03 time: 0.245 data_time: 0.009 memory: 6404 grad_norm: 5.7115 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4705 loss: 2.4705 2022/06/29 16:25:09 - mmengine - INFO - Epoch(train) [8][2740/3757] lr: 1.000e-02 eta: 1 day, 2:41:59 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 5.3362 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3539 loss: 2.3539 2022/06/29 16:25:14 - mmengine - INFO - Epoch(train) [8][2760/3757] lr: 1.000e-02 eta: 1 day, 2:41:54 time: 0.239 data_time: 0.012 memory: 6404 grad_norm: 5.1084 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1551 loss: 2.1551 2022/06/29 16:25:20 - mmengine - INFO - Epoch(train) [8][2780/3757] lr: 1.000e-02 eta: 1 day, 2:41:49 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 6.1717 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2760 loss: 2.2760 2022/06/29 16:25:25 - mmengine - INFO - Epoch(train) [8][2800/3757] lr: 1.000e-02 eta: 1 day, 2:41:43 time: 0.243 data_time: 0.018 memory: 6404 grad_norm: 5.4142 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4215 loss: 2.4215 2022/06/29 16:25:31 - mmengine - INFO - Epoch(train) [8][2820/3757] lr: 1.000e-02 eta: 1 day, 2:41:39 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 5.2598 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9718 loss: 2.9718 2022/06/29 16:25:37 - mmengine - INFO - Epoch(train) [8][2840/3757] lr: 1.000e-02 eta: 1 day, 2:41:35 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 5.8948 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4977 loss: 2.4977 2022/06/29 16:25:42 - mmengine - INFO - Epoch(train) [8][2860/3757] lr: 1.000e-02 eta: 1 day, 2:41:26 time: 0.247 data_time: 0.039 memory: 6404 grad_norm: 5.7617 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4340 loss: 2.4340 2022/06/29 16:25:48 - mmengine - INFO - Epoch(train) [8][2880/3757] lr: 1.000e-02 eta: 1 day, 2:41:23 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 5.3920 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2658 loss: 2.2658 2022/06/29 16:25:53 - mmengine - INFO - Epoch(train) [8][2900/3757] lr: 1.000e-02 eta: 1 day, 2:41:12 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.4488 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4701 loss: 2.4701 2022/06/29 16:25:59 - mmengine - INFO - Epoch(train) [8][2920/3757] lr: 1.000e-02 eta: 1 day, 2:41:10 time: 0.262 data_time: 0.076 memory: 6404 grad_norm: 5.7606 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4325 loss: 2.4325 2022/06/29 16:26:04 - mmengine - INFO - Epoch(train) [8][2940/3757] lr: 1.000e-02 eta: 1 day, 2:40:59 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 6.1254 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7026 loss: 2.7026 2022/06/29 16:26:09 - mmengine - INFO - Epoch(train) [8][2960/3757] lr: 1.000e-02 eta: 1 day, 2:40:51 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.4551 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0872 loss: 2.0872 2022/06/29 16:26:15 - mmengine - INFO - Epoch(train) [8][2980/3757] lr: 1.000e-02 eta: 1 day, 2:40:45 time: 0.238 data_time: 0.010 memory: 6404 grad_norm: 5.6833 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2183 loss: 2.2183 2022/06/29 16:26:21 - mmengine - INFO - Epoch(train) [8][3000/3757] lr: 1.000e-02 eta: 1 day, 2:40:47 time: 0.266 data_time: 0.005 memory: 6404 grad_norm: 5.8014 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1879 loss: 2.1879 2022/06/29 16:26:26 - mmengine - INFO - Epoch(train) [8][3020/3757] lr: 1.000e-02 eta: 1 day, 2:40:36 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.7879 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3963 loss: 2.3963 2022/06/29 16:26:31 - mmengine - INFO - Epoch(train) [8][3040/3757] lr: 1.000e-02 eta: 1 day, 2:40:28 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 5.5774 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2964 loss: 2.2964 2022/06/29 16:26:36 - mmengine - INFO - Epoch(train) [8][3060/3757] lr: 1.000e-02 eta: 1 day, 2:40:19 time: 0.372 data_time: 0.013 memory: 6404 grad_norm: 5.5507 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2096 loss: 2.2096 2022/06/29 16:26:42 - mmengine - INFO - Epoch(train) [8][3080/3757] lr: 1.000e-02 eta: 1 day, 2:40:11 time: 0.243 data_time: 0.006 memory: 6404 grad_norm: 5.9150 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1560 loss: 2.1560 2022/06/29 16:26:47 - mmengine - INFO - Epoch(train) [8][3100/3757] lr: 1.000e-02 eta: 1 day, 2:40:06 time: 0.360 data_time: 0.010 memory: 6404 grad_norm: 5.2962 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3419 loss: 2.3419 2022/06/29 16:26:53 - mmengine - INFO - Epoch(train) [8][3120/3757] lr: 1.000e-02 eta: 1 day, 2:40:01 time: 0.320 data_time: 0.006 memory: 6404 grad_norm: 6.0176 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3265 loss: 2.3265 2022/06/29 16:26:59 - mmengine - INFO - Epoch(train) [8][3140/3757] lr: 1.000e-02 eta: 1 day, 2:39:57 time: 0.247 data_time: 0.013 memory: 6404 grad_norm: 5.1664 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1464 loss: 2.1464 2022/06/29 16:27:04 - mmengine - INFO - Epoch(train) [8][3160/3757] lr: 1.000e-02 eta: 1 day, 2:39:50 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.6235 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9206 loss: 2.9206 2022/06/29 16:27:09 - mmengine - INFO - Epoch(train) [8][3180/3757] lr: 1.000e-02 eta: 1 day, 2:39:41 time: 0.281 data_time: 0.007 memory: 6404 grad_norm: 5.5481 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9737 loss: 1.9737 2022/06/29 16:27:15 - mmengine - INFO - Epoch(train) [8][3200/3757] lr: 1.000e-02 eta: 1 day, 2:39:32 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.5967 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2771 loss: 2.2771 2022/06/29 16:27:20 - mmengine - INFO - Epoch(train) [8][3220/3757] lr: 1.000e-02 eta: 1 day, 2:39:30 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.8451 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4243 loss: 2.4243 2022/06/29 16:27:26 - mmengine - INFO - Epoch(train) [8][3240/3757] lr: 1.000e-02 eta: 1 day, 2:39:27 time: 0.885 data_time: 0.010 memory: 6404 grad_norm: 5.1987 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4253 loss: 2.4253 2022/06/29 16:27:31 - mmengine - INFO - Epoch(train) [8][3260/3757] lr: 1.000e-02 eta: 1 day, 2:39:16 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 4.9133 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9718 loss: 2.9718 2022/06/29 16:27:36 - mmengine - INFO - Epoch(train) [8][3280/3757] lr: 1.000e-02 eta: 1 day, 2:39:06 time: 0.242 data_time: 0.014 memory: 6404 grad_norm: 6.0592 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2488 loss: 2.2488 2022/06/29 16:27:42 - mmengine - INFO - Epoch(train) [8][3300/3757] lr: 1.000e-02 eta: 1 day, 2:39:05 time: 0.635 data_time: 0.007 memory: 6404 grad_norm: 5.7010 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2326 loss: 2.2326 2022/06/29 16:27:47 - mmengine - INFO - Epoch(train) [8][3320/3757] lr: 1.000e-02 eta: 1 day, 2:38:54 time: 0.268 data_time: 0.037 memory: 6404 grad_norm: 6.0221 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3821 loss: 2.3821 2022/06/29 16:27:53 - mmengine - INFO - Epoch(train) [8][3340/3757] lr: 1.000e-02 eta: 1 day, 2:38:46 time: 0.240 data_time: 0.013 memory: 6404 grad_norm: 6.3792 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2521 loss: 2.2521 2022/06/29 16:27:58 - mmengine - INFO - Epoch(train) [8][3360/3757] lr: 1.000e-02 eta: 1 day, 2:38:42 time: 0.405 data_time: 0.040 memory: 6404 grad_norm: 5.7491 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7245 loss: 2.7245 2022/06/29 16:28:04 - mmengine - INFO - Epoch(train) [8][3380/3757] lr: 1.000e-02 eta: 1 day, 2:38:32 time: 0.244 data_time: 0.015 memory: 6404 grad_norm: 5.5314 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2940 loss: 2.2940 2022/06/29 16:28:09 - mmengine - INFO - Epoch(train) [8][3400/3757] lr: 1.000e-02 eta: 1 day, 2:38:26 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 5.2717 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1268 loss: 2.1268 2022/06/29 16:28:15 - mmengine - INFO - Epoch(train) [8][3420/3757] lr: 1.000e-02 eta: 1 day, 2:38:22 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.1029 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5593 loss: 2.5593 2022/06/29 16:28:20 - mmengine - INFO - Epoch(train) [8][3440/3757] lr: 1.000e-02 eta: 1 day, 2:38:12 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.9084 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6430 loss: 2.6430 2022/06/29 16:28:26 - mmengine - INFO - Epoch(train) [8][3460/3757] lr: 1.000e-02 eta: 1 day, 2:38:09 time: 0.249 data_time: 0.018 memory: 6404 grad_norm: 6.2201 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.5216 loss: 2.5216 2022/06/29 16:28:31 - mmengine - INFO - Epoch(train) [8][3480/3757] lr: 1.000e-02 eta: 1 day, 2:38:01 time: 0.520 data_time: 0.006 memory: 6404 grad_norm: 5.1444 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8746 loss: 2.8746 2022/06/29 16:28:36 - mmengine - INFO - Epoch(train) [8][3500/3757] lr: 1.000e-02 eta: 1 day, 2:37:50 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 5.7521 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4676 loss: 2.4676 2022/06/29 16:28:42 - mmengine - INFO - Epoch(train) [8][3520/3757] lr: 1.000e-02 eta: 1 day, 2:37:50 time: 0.243 data_time: 0.009 memory: 6404 grad_norm: 6.2325 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7817 loss: 2.7817 2022/06/29 16:28:47 - mmengine - INFO - Epoch(train) [8][3540/3757] lr: 1.000e-02 eta: 1 day, 2:37:40 time: 0.285 data_time: 0.007 memory: 6404 grad_norm: 5.7970 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5350 loss: 2.5350 2022/06/29 16:28:52 - mmengine - INFO - Epoch(train) [8][3560/3757] lr: 1.000e-02 eta: 1 day, 2:37:29 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.1951 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3128 loss: 2.3128 2022/06/29 16:28:58 - mmengine - INFO - Epoch(train) [8][3580/3757] lr: 1.000e-02 eta: 1 day, 2:37:26 time: 0.241 data_time: 0.032 memory: 6404 grad_norm: 5.1623 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1648 loss: 2.1648 2022/06/29 16:29:04 - mmengine - INFO - Epoch(train) [8][3600/3757] lr: 1.000e-02 eta: 1 day, 2:37:26 time: 0.796 data_time: 0.006 memory: 6404 grad_norm: 5.7925 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4149 loss: 2.4149 2022/06/29 16:29:10 - mmengine - INFO - Epoch(train) [8][3620/3757] lr: 1.000e-02 eta: 1 day, 2:37:20 time: 0.241 data_time: 0.006 memory: 6404 grad_norm: 5.6961 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2038 loss: 2.2038 2022/06/29 16:29:15 - mmengine - INFO - Epoch(train) [8][3640/3757] lr: 1.000e-02 eta: 1 day, 2:37:11 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.9850 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9246 loss: 1.9246 2022/06/29 16:29:20 - mmengine - INFO - Epoch(train) [8][3660/3757] lr: 1.000e-02 eta: 1 day, 2:37:02 time: 0.475 data_time: 0.006 memory: 6404 grad_norm: 6.4879 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0617 loss: 2.0617 2022/06/29 16:29:26 - mmengine - INFO - Epoch(train) [8][3680/3757] lr: 1.000e-02 eta: 1 day, 2:36:56 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 5.2582 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5896 loss: 2.5896 2022/06/29 16:29:31 - mmengine - INFO - Epoch(train) [8][3700/3757] lr: 1.000e-02 eta: 1 day, 2:36:53 time: 0.245 data_time: 0.015 memory: 6404 grad_norm: 6.0776 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7162 loss: 2.7162 2022/06/29 16:29:32 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 16:29:37 - mmengine - INFO - Epoch(train) [8][3720/3757] lr: 1.000e-02 eta: 1 day, 2:36:46 time: 0.523 data_time: 0.065 memory: 6404 grad_norm: 5.5367 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4634 loss: 2.4634 2022/06/29 16:29:42 - mmengine - INFO - Epoch(train) [8][3740/3757] lr: 1.000e-02 eta: 1 day, 2:36:36 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.8775 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3566 loss: 2.3566 2022/06/29 16:29:46 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 16:29:53 - mmengine - INFO - Epoch(val) [8][20/310] eta: 0:01:25 time: 0.099 data_time: 0.015 memory: 6404 2022/06/29 16:29:59 - mmengine - INFO - Epoch(val) [8][40/310] eta: 0:01:17 time: 0.089 data_time: 0.013 memory: 1479 2022/06/29 16:30:03 - mmengine - INFO - Epoch(val) [8][60/310] eta: 0:00:23 time: 0.112 data_time: 0.019 memory: 1479 2022/06/29 16:30:09 - mmengine - INFO - Epoch(val) [8][80/310] eta: 0:01:12 time: 0.079 data_time: 0.006 memory: 1479 2022/06/29 16:30:15 - mmengine - INFO - Epoch(val) [8][100/310] eta: 0:01:02 time: 0.644 data_time: 0.570 memory: 1479 2022/06/29 16:30:19 - mmengine - INFO - Epoch(val) [8][120/310] eta: 0:00:27 time: 0.101 data_time: 0.017 memory: 1479 2022/06/29 16:30:25 - mmengine - INFO - Epoch(val) [8][140/310] eta: 0:00:54 time: 0.082 data_time: 0.007 memory: 1479 2022/06/29 16:30:31 - mmengine - INFO - Epoch(val) [8][160/310] eta: 0:00:48 time: 1.482 data_time: 1.404 memory: 1479 2022/06/29 16:30:35 - mmengine - INFO - Epoch(val) [8][180/310] eta: 0:00:35 time: 0.084 data_time: 0.006 memory: 1479 2022/06/29 16:30:41 - mmengine - INFO - Epoch(val) [8][200/310] eta: 0:00:32 time: 0.081 data_time: 0.005 memory: 1479 2022/06/29 16:30:47 - mmengine - INFO - Epoch(val) [8][220/310] eta: 0:00:26 time: 0.826 data_time: 0.739 memory: 1479 2022/06/29 16:30:51 - mmengine - INFO - Epoch(val) [8][240/310] eta: 0:00:20 time: 0.088 data_time: 0.007 memory: 1479 2022/06/29 16:30:56 - mmengine - INFO - Epoch(val) [8][260/310] eta: 0:00:15 time: 0.091 data_time: 0.009 memory: 1479 2022/06/29 16:31:03 - mmengine - INFO - Epoch(val) [8][280/310] eta: 0:00:09 time: 0.799 data_time: 0.718 memory: 1479 2022/06/29 16:31:06 - mmengine - INFO - Epoch(val) [8][300/310] eta: 0:00:02 time: 0.090 data_time: 0.009 memory: 1479 2022/06/29 16:31:10 - mmengine - INFO - Epoch(val) [8][310/310] acc/top1: 0.4927 acc/top5: 0.7567 acc/mean1: 0.4926 2022/06/29 16:31:18 - mmengine - INFO - Epoch(train) [9][20/3757] lr: 1.000e-02 eta: 1 day, 2:36:33 time: 0.246 data_time: 0.012 memory: 6404 grad_norm: 6.1194 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4989 loss: 2.4989 2022/06/29 16:31:24 - mmengine - INFO - Epoch(train) [9][40/3757] lr: 1.000e-02 eta: 1 day, 2:36:33 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 5.7857 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8464 loss: 1.8464 2022/06/29 16:31:30 - mmengine - INFO - Epoch(train) [9][60/3757] lr: 1.000e-02 eta: 1 day, 2:36:28 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 5.5497 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2670 loss: 2.2670 2022/06/29 16:31:36 - mmengine - INFO - Epoch(train) [9][80/3757] lr: 1.000e-02 eta: 1 day, 2:36:25 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 4.9760 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2752 loss: 2.2752 2022/06/29 16:31:41 - mmengine - INFO - Epoch(train) [9][100/3757] lr: 1.000e-02 eta: 1 day, 2:36:20 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 6.0091 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2865 loss: 2.2865 2022/06/29 16:31:46 - mmengine - INFO - Epoch(train) [9][120/3757] lr: 1.000e-02 eta: 1 day, 2:36:11 time: 0.242 data_time: 0.010 memory: 6404 grad_norm: 5.2205 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3500 loss: 2.3500 2022/06/29 16:31:52 - mmengine - INFO - Epoch(train) [9][140/3757] lr: 1.000e-02 eta: 1 day, 2:36:05 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.9793 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0956 loss: 2.0956 2022/06/29 16:31:57 - mmengine - INFO - Epoch(train) [9][160/3757] lr: 1.000e-02 eta: 1 day, 2:35:58 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 5.3622 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.7931 loss: 2.7931 2022/06/29 16:32:03 - mmengine - INFO - Epoch(train) [9][180/3757] lr: 1.000e-02 eta: 1 day, 2:35:49 time: 0.235 data_time: 0.011 memory: 6404 grad_norm: 5.6986 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2461 loss: 2.2461 2022/06/29 16:32:09 - mmengine - INFO - Epoch(train) [9][200/3757] lr: 1.000e-02 eta: 1 day, 2:35:50 time: 0.241 data_time: 0.008 memory: 6404 grad_norm: 5.2944 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5216 loss: 2.5216 2022/06/29 16:32:14 - mmengine - INFO - Epoch(train) [9][220/3757] lr: 1.000e-02 eta: 1 day, 2:35:40 time: 0.243 data_time: 0.012 memory: 6404 grad_norm: 6.1739 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8124 loss: 2.8124 2022/06/29 16:32:19 - mmengine - INFO - Epoch(train) [9][240/3757] lr: 1.000e-02 eta: 1 day, 2:35:29 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 5.5584 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3651 loss: 2.3651 2022/06/29 16:32:25 - mmengine - INFO - Epoch(train) [9][260/3757] lr: 1.000e-02 eta: 1 day, 2:35:27 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.1562 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5470 loss: 2.5470 2022/06/29 16:32:30 - mmengine - INFO - Epoch(train) [9][280/3757] lr: 1.000e-02 eta: 1 day, 2:35:21 time: 0.239 data_time: 0.007 memory: 6404 grad_norm: 5.8082 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4335 loss: 2.4335 2022/06/29 16:32:36 - mmengine - INFO - Epoch(train) [9][300/3757] lr: 1.000e-02 eta: 1 day, 2:35:13 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 5.4899 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6246 loss: 2.6246 2022/06/29 16:32:41 - mmengine - INFO - Epoch(train) [9][320/3757] lr: 1.000e-02 eta: 1 day, 2:35:08 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 6.2447 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4330 loss: 2.4330 2022/06/29 16:32:47 - mmengine - INFO - Epoch(train) [9][340/3757] lr: 1.000e-02 eta: 1 day, 2:35:02 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.0849 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3519 loss: 2.3519 2022/06/29 16:32:52 - mmengine - INFO - Epoch(train) [9][360/3757] lr: 1.000e-02 eta: 1 day, 2:34:53 time: 0.238 data_time: 0.010 memory: 6404 grad_norm: 5.8611 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9971 loss: 1.9971 2022/06/29 16:32:58 - mmengine - INFO - Epoch(train) [9][380/3757] lr: 1.000e-02 eta: 1 day, 2:34:48 time: 0.246 data_time: 0.019 memory: 6404 grad_norm: 6.4226 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4144 loss: 2.4144 2022/06/29 16:33:03 - mmengine - INFO - Epoch(train) [9][400/3757] lr: 1.000e-02 eta: 1 day, 2:34:42 time: 0.281 data_time: 0.008 memory: 6404 grad_norm: 5.5883 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3916 loss: 2.3916 2022/06/29 16:33:09 - mmengine - INFO - Epoch(train) [9][420/3757] lr: 1.000e-02 eta: 1 day, 2:34:35 time: 0.242 data_time: 0.010 memory: 6404 grad_norm: 5.6728 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4497 loss: 2.4497 2022/06/29 16:33:15 - mmengine - INFO - Epoch(train) [9][440/3757] lr: 1.000e-02 eta: 1 day, 2:34:35 time: 0.240 data_time: 0.010 memory: 6404 grad_norm: 4.9902 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2770 loss: 2.2770 2022/06/29 16:33:20 - mmengine - INFO - Epoch(train) [9][460/3757] lr: 1.000e-02 eta: 1 day, 2:34:26 time: 0.443 data_time: 0.007 memory: 6404 grad_norm: 6.1635 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4437 loss: 2.4437 2022/06/29 16:33:25 - mmengine - INFO - Epoch(train) [9][480/3757] lr: 1.000e-02 eta: 1 day, 2:34:20 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.7307 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7999 loss: 2.7999 2022/06/29 16:33:31 - mmengine - INFO - Epoch(train) [9][500/3757] lr: 1.000e-02 eta: 1 day, 2:34:14 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 5.1246 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2619 loss: 2.2619 2022/06/29 16:33:36 - mmengine - INFO - Epoch(train) [9][520/3757] lr: 1.000e-02 eta: 1 day, 2:34:05 time: 0.466 data_time: 0.007 memory: 6404 grad_norm: 5.6491 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2466 loss: 2.2466 2022/06/29 16:33:41 - mmengine - INFO - Epoch(train) [9][540/3757] lr: 1.000e-02 eta: 1 day, 2:33:55 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.4634 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3981 loss: 2.3981 2022/06/29 16:33:47 - mmengine - INFO - Epoch(train) [9][560/3757] lr: 1.000e-02 eta: 1 day, 2:33:47 time: 0.242 data_time: 0.016 memory: 6404 grad_norm: 5.6315 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5231 loss: 2.5231 2022/06/29 16:33:52 - mmengine - INFO - Epoch(train) [9][580/3757] lr: 1.000e-02 eta: 1 day, 2:33:40 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 6.1337 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2308 loss: 2.2308 2022/06/29 16:33:58 - mmengine - INFO - Epoch(train) [9][600/3757] lr: 1.000e-02 eta: 1 day, 2:33:35 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.0604 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1178 loss: 2.1178 2022/06/29 16:34:03 - mmengine - INFO - Epoch(train) [9][620/3757] lr: 1.000e-02 eta: 1 day, 2:33:29 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.6098 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3179 loss: 2.3179 2022/06/29 16:34:08 - mmengine - INFO - Epoch(train) [9][640/3757] lr: 1.000e-02 eta: 1 day, 2:33:19 time: 0.245 data_time: 0.009 memory: 6404 grad_norm: 5.8623 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3015 loss: 2.3015 2022/06/29 16:34:14 - mmengine - INFO - Epoch(train) [9][660/3757] lr: 1.000e-02 eta: 1 day, 2:33:14 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 5.8696 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2561 loss: 2.2561 2022/06/29 16:34:20 - mmengine - INFO - Epoch(train) [9][680/3757] lr: 1.000e-02 eta: 1 day, 2:33:12 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.4278 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5993 loss: 2.5993 2022/06/29 16:34:25 - mmengine - INFO - Epoch(train) [9][700/3757] lr: 1.000e-02 eta: 1 day, 2:33:06 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 4.9386 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4138 loss: 2.4138 2022/06/29 16:34:30 - mmengine - INFO - Epoch(train) [9][720/3757] lr: 1.000e-02 eta: 1 day, 2:32:57 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 5.4620 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3268 loss: 2.3268 2022/06/29 16:34:36 - mmengine - INFO - Epoch(train) [9][740/3757] lr: 1.000e-02 eta: 1 day, 2:32:55 time: 0.235 data_time: 0.009 memory: 6404 grad_norm: 6.0462 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2416 loss: 2.2416 2022/06/29 16:34:42 - mmengine - INFO - Epoch(train) [9][760/3757] lr: 1.000e-02 eta: 1 day, 2:32:51 time: 0.275 data_time: 0.008 memory: 6404 grad_norm: 6.0090 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3168 loss: 2.3168 2022/06/29 16:34:47 - mmengine - INFO - Epoch(train) [9][780/3757] lr: 1.000e-02 eta: 1 day, 2:32:40 time: 0.239 data_time: 0.007 memory: 6404 grad_norm: 5.3174 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1805 loss: 2.1805 2022/06/29 16:34:53 - mmengine - INFO - Epoch(train) [9][800/3757] lr: 1.000e-02 eta: 1 day, 2:32:34 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.1408 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3681 loss: 2.3681 2022/06/29 16:34:58 - mmengine - INFO - Epoch(train) [9][820/3757] lr: 1.000e-02 eta: 1 day, 2:32:26 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.0626 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3233 loss: 2.3233 2022/06/29 16:35:04 - mmengine - INFO - Epoch(train) [9][840/3757] lr: 1.000e-02 eta: 1 day, 2:32:24 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.4918 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4492 loss: 2.4492 2022/06/29 16:35:10 - mmengine - INFO - Epoch(train) [9][860/3757] lr: 1.000e-02 eta: 1 day, 2:32:22 time: 0.240 data_time: 0.008 memory: 6404 grad_norm: 5.4245 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2514 loss: 2.2514 2022/06/29 16:35:15 - mmengine - INFO - Epoch(train) [9][880/3757] lr: 1.000e-02 eta: 1 day, 2:32:13 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 6.0731 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3970 loss: 2.3970 2022/06/29 16:35:20 - mmengine - INFO - Epoch(train) [9][900/3757] lr: 1.000e-02 eta: 1 day, 2:32:04 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 5.2017 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2822 loss: 2.2822 2022/06/29 16:35:25 - mmengine - INFO - Epoch(train) [9][920/3757] lr: 1.000e-02 eta: 1 day, 2:31:57 time: 0.258 data_time: 0.005 memory: 6404 grad_norm: 5.8595 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5263 loss: 2.5263 2022/06/29 16:35:31 - mmengine - INFO - Epoch(train) [9][940/3757] lr: 1.000e-02 eta: 1 day, 2:31:51 time: 0.261 data_time: 0.009 memory: 6404 grad_norm: 5.3880 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4102 loss: 2.4102 2022/06/29 16:35:32 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 16:35:36 - mmengine - INFO - Epoch(train) [9][960/3757] lr: 1.000e-02 eta: 1 day, 2:31:43 time: 0.246 data_time: 0.012 memory: 6404 grad_norm: 4.5948 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3249 loss: 2.3249 2022/06/29 16:35:42 - mmengine - INFO - Epoch(train) [9][980/3757] lr: 1.000e-02 eta: 1 day, 2:31:37 time: 0.241 data_time: 0.011 memory: 6404 grad_norm: 5.5549 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0240 loss: 2.0240 2022/06/29 16:35:47 - mmengine - INFO - Epoch(train) [9][1000/3757] lr: 1.000e-02 eta: 1 day, 2:31:28 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.6737 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3574 loss: 2.3574 2022/06/29 16:35:53 - mmengine - INFO - Epoch(train) [9][1020/3757] lr: 1.000e-02 eta: 1 day, 2:31:26 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 5.6300 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4312 loss: 2.4312 2022/06/29 16:35:58 - mmengine - INFO - Epoch(train) [9][1040/3757] lr: 1.000e-02 eta: 1 day, 2:31:17 time: 0.255 data_time: 0.012 memory: 6404 grad_norm: 5.6495 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4352 loss: 2.4352 2022/06/29 16:36:04 - mmengine - INFO - Epoch(train) [9][1060/3757] lr: 1.000e-02 eta: 1 day, 2:31:10 time: 0.276 data_time: 0.009 memory: 6404 grad_norm: 4.9796 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4662 loss: 2.4662 2022/06/29 16:36:09 - mmengine - INFO - Epoch(train) [9][1080/3757] lr: 1.000e-02 eta: 1 day, 2:31:05 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.3857 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2389 loss: 2.2389 2022/06/29 16:36:14 - mmengine - INFO - Epoch(train) [9][1100/3757] lr: 1.000e-02 eta: 1 day, 2:30:55 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 5.6976 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.9160 loss: 2.9160 2022/06/29 16:36:20 - mmengine - INFO - Epoch(train) [9][1120/3757] lr: 1.000e-02 eta: 1 day, 2:30:48 time: 0.245 data_time: 0.014 memory: 6404 grad_norm: 5.1324 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5899 loss: 1.5899 2022/06/29 16:36:25 - mmengine - INFO - Epoch(train) [9][1140/3757] lr: 1.000e-02 eta: 1 day, 2:30:38 time: 0.245 data_time: 0.018 memory: 6404 grad_norm: 5.9544 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4886 loss: 2.4886 2022/06/29 16:36:30 - mmengine - INFO - Epoch(train) [9][1160/3757] lr: 1.000e-02 eta: 1 day, 2:30:34 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 6.3200 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2933 loss: 2.2933 2022/06/29 16:36:36 - mmengine - INFO - Epoch(train) [9][1180/3757] lr: 1.000e-02 eta: 1 day, 2:30:29 time: 0.241 data_time: 0.012 memory: 6404 grad_norm: 5.6661 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2248 loss: 2.2248 2022/06/29 16:36:41 - mmengine - INFO - Epoch(train) [9][1200/3757] lr: 1.000e-02 eta: 1 day, 2:30:18 time: 0.246 data_time: 0.013 memory: 6404 grad_norm: 5.7330 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1951 loss: 2.1951 2022/06/29 16:36:47 - mmengine - INFO - Epoch(train) [9][1220/3757] lr: 1.000e-02 eta: 1 day, 2:30:15 time: 0.242 data_time: 0.009 memory: 6404 grad_norm: 5.4008 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4824 loss: 2.4824 2022/06/29 16:36:53 - mmengine - INFO - Epoch(train) [9][1240/3757] lr: 1.000e-02 eta: 1 day, 2:30:10 time: 0.409 data_time: 0.018 memory: 6404 grad_norm: 6.1612 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4869 loss: 2.4869 2022/06/29 16:36:58 - mmengine - INFO - Epoch(train) [9][1260/3757] lr: 1.000e-02 eta: 1 day, 2:30:03 time: 0.241 data_time: 0.018 memory: 6404 grad_norm: 5.8487 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4785 loss: 2.4785 2022/06/29 16:37:03 - mmengine - INFO - Epoch(train) [9][1280/3757] lr: 1.000e-02 eta: 1 day, 2:29:56 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 5.7333 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0565 loss: 3.0565 2022/06/29 16:37:09 - mmengine - INFO - Epoch(train) [9][1300/3757] lr: 1.000e-02 eta: 1 day, 2:29:50 time: 0.365 data_time: 0.009 memory: 6404 grad_norm: 5.1788 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4021 loss: 2.4021 2022/06/29 16:37:14 - mmengine - INFO - Epoch(train) [9][1320/3757] lr: 1.000e-02 eta: 1 day, 2:29:41 time: 0.254 data_time: 0.020 memory: 6404 grad_norm: 6.3822 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4056 loss: 2.4056 2022/06/29 16:37:20 - mmengine - INFO - Epoch(train) [9][1340/3757] lr: 1.000e-02 eta: 1 day, 2:29:35 time: 0.329 data_time: 0.012 memory: 6404 grad_norm: 6.7558 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7300 loss: 2.7300 2022/06/29 16:37:25 - mmengine - INFO - Epoch(train) [9][1360/3757] lr: 1.000e-02 eta: 1 day, 2:29:28 time: 0.272 data_time: 0.010 memory: 6404 grad_norm: 5.3121 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2015 loss: 2.2015 2022/06/29 16:37:31 - mmengine - INFO - Epoch(train) [9][1380/3757] lr: 1.000e-02 eta: 1 day, 2:29:24 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 5.7105 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6960 loss: 2.6960 2022/06/29 16:37:36 - mmengine - INFO - Epoch(train) [9][1400/3757] lr: 1.000e-02 eta: 1 day, 2:29:19 time: 0.373 data_time: 0.009 memory: 6404 grad_norm: 5.5625 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1560 loss: 2.1560 2022/06/29 16:37:42 - mmengine - INFO - Epoch(train) [9][1420/3757] lr: 1.000e-02 eta: 1 day, 2:29:14 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 6.0629 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2926 loss: 2.2926 2022/06/29 16:37:47 - mmengine - INFO - Epoch(train) [9][1440/3757] lr: 1.000e-02 eta: 1 day, 2:29:03 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 5.6599 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1051 loss: 2.1051 2022/06/29 16:37:52 - mmengine - INFO - Epoch(train) [9][1460/3757] lr: 1.000e-02 eta: 1 day, 2:28:57 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 5.2633 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3082 loss: 2.3082 2022/06/29 16:37:58 - mmengine - INFO - Epoch(train) [9][1480/3757] lr: 1.000e-02 eta: 1 day, 2:28:52 time: 0.242 data_time: 0.036 memory: 6404 grad_norm: 5.8226 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3415 loss: 2.3415 2022/06/29 16:38:04 - mmengine - INFO - Epoch(train) [9][1500/3757] lr: 1.000e-02 eta: 1 day, 2:28:53 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.9901 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4539 loss: 2.4539 2022/06/29 16:38:09 - mmengine - INFO - Epoch(train) [9][1520/3757] lr: 1.000e-02 eta: 1 day, 2:28:44 time: 0.268 data_time: 0.008 memory: 6404 grad_norm: 5.7025 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7117 loss: 2.7117 2022/06/29 16:38:14 - mmengine - INFO - Epoch(train) [9][1540/3757] lr: 1.000e-02 eta: 1 day, 2:28:34 time: 0.246 data_time: 0.013 memory: 6404 grad_norm: 5.4836 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9570 loss: 2.9570 2022/06/29 16:38:19 - mmengine - INFO - Epoch(train) [9][1560/3757] lr: 1.000e-02 eta: 1 day, 2:28:22 time: 0.244 data_time: 0.019 memory: 6404 grad_norm: 5.0952 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4145 loss: 2.4145 2022/06/29 16:38:25 - mmengine - INFO - Epoch(train) [9][1580/3757] lr: 1.000e-02 eta: 1 day, 2:28:14 time: 0.245 data_time: 0.017 memory: 6404 grad_norm: 6.2129 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2688 loss: 2.2688 2022/06/29 16:38:30 - mmengine - INFO - Epoch(train) [9][1600/3757] lr: 1.000e-02 eta: 1 day, 2:28:08 time: 0.380 data_time: 0.008 memory: 6404 grad_norm: 5.2821 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2409 loss: 2.2409 2022/06/29 16:38:36 - mmengine - INFO - Epoch(train) [9][1620/3757] lr: 1.000e-02 eta: 1 day, 2:28:03 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.2938 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1122 loss: 2.1122 2022/06/29 16:38:41 - mmengine - INFO - Epoch(train) [9][1640/3757] lr: 1.000e-02 eta: 1 day, 2:27:59 time: 0.248 data_time: 0.027 memory: 6404 grad_norm: 5.4765 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1114 loss: 2.1114 2022/06/29 16:38:47 - mmengine - INFO - Epoch(train) [9][1660/3757] lr: 1.000e-02 eta: 1 day, 2:27:55 time: 0.482 data_time: 0.016 memory: 6404 grad_norm: 5.3960 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2636 loss: 2.2636 2022/06/29 16:38:53 - mmengine - INFO - Epoch(train) [9][1680/3757] lr: 1.000e-02 eta: 1 day, 2:27:47 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 6.1352 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3042 loss: 2.3042 2022/06/29 16:38:58 - mmengine - INFO - Epoch(train) [9][1700/3757] lr: 1.000e-02 eta: 1 day, 2:27:41 time: 0.245 data_time: 0.057 memory: 6404 grad_norm: 5.2010 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8975 loss: 1.8975 2022/06/29 16:39:04 - mmengine - INFO - Epoch(train) [9][1720/3757] lr: 1.000e-02 eta: 1 day, 2:27:40 time: 0.447 data_time: 0.008 memory: 6404 grad_norm: 6.0933 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1294 loss: 2.1294 2022/06/29 16:39:10 - mmengine - INFO - Epoch(train) [9][1740/3757] lr: 1.000e-02 eta: 1 day, 2:27:37 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 5.8294 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3534 loss: 2.3534 2022/06/29 16:39:15 - mmengine - INFO - Epoch(train) [9][1760/3757] lr: 1.000e-02 eta: 1 day, 2:27:26 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 5.1164 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1041 loss: 2.1041 2022/06/29 16:39:20 - mmengine - INFO - Epoch(train) [9][1780/3757] lr: 1.000e-02 eta: 1 day, 2:27:22 time: 0.583 data_time: 0.016 memory: 6404 grad_norm: 5.7591 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3704 loss: 2.3704 2022/06/29 16:39:25 - mmengine - INFO - Epoch(train) [9][1800/3757] lr: 1.000e-02 eta: 1 day, 2:27:11 time: 0.249 data_time: 0.017 memory: 6404 grad_norm: 6.3265 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0003 loss: 3.0003 2022/06/29 16:39:31 - mmengine - INFO - Epoch(train) [9][1820/3757] lr: 1.000e-02 eta: 1 day, 2:27:01 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.1275 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3638 loss: 2.3638 2022/06/29 16:39:36 - mmengine - INFO - Epoch(train) [9][1840/3757] lr: 1.000e-02 eta: 1 day, 2:26:56 time: 0.584 data_time: 0.008 memory: 6404 grad_norm: 6.0866 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2746 loss: 2.2746 2022/06/29 16:39:42 - mmengine - INFO - Epoch(train) [9][1860/3757] lr: 1.000e-02 eta: 1 day, 2:26:52 time: 0.243 data_time: 0.006 memory: 6404 grad_norm: 5.4262 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1393 loss: 2.1393 2022/06/29 16:39:47 - mmengine - INFO - Epoch(train) [9][1880/3757] lr: 1.000e-02 eta: 1 day, 2:26:45 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 6.0463 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2322 loss: 2.2322 2022/06/29 16:39:53 - mmengine - INFO - Epoch(train) [9][1900/3757] lr: 1.000e-02 eta: 1 day, 2:26:40 time: 0.457 data_time: 0.008 memory: 6404 grad_norm: 5.4912 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6132 loss: 2.6132 2022/06/29 16:39:58 - mmengine - INFO - Epoch(train) [9][1920/3757] lr: 1.000e-02 eta: 1 day, 2:26:34 time: 0.289 data_time: 0.007 memory: 6404 grad_norm: 5.5797 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4337 loss: 2.4337 2022/06/29 16:40:04 - mmengine - INFO - Epoch(train) [9][1940/3757] lr: 1.000e-02 eta: 1 day, 2:26:24 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.6304 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3734 loss: 2.3734 2022/06/29 16:40:05 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 16:40:09 - mmengine - INFO - Epoch(train) [9][1960/3757] lr: 1.000e-02 eta: 1 day, 2:26:20 time: 0.839 data_time: 0.186 memory: 6404 grad_norm: 5.4565 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7722 loss: 1.7722 2022/06/29 16:40:15 - mmengine - INFO - Epoch(train) [9][1980/3757] lr: 1.000e-02 eta: 1 day, 2:26:14 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 5.9385 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2854 loss: 2.2854 2022/06/29 16:40:20 - mmengine - INFO - Epoch(train) [9][2000/3757] lr: 1.000e-02 eta: 1 day, 2:26:06 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.2738 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1109 loss: 2.1109 2022/06/29 16:40:26 - mmengine - INFO - Epoch(train) [9][2020/3757] lr: 1.000e-02 eta: 1 day, 2:26:05 time: 0.529 data_time: 0.013 memory: 6404 grad_norm: 5.8540 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8640 loss: 1.8640 2022/06/29 16:40:31 - mmengine - INFO - Epoch(train) [9][2040/3757] lr: 1.000e-02 eta: 1 day, 2:25:55 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 5.9882 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5148 loss: 2.5148 2022/06/29 16:40:36 - mmengine - INFO - Epoch(train) [9][2060/3757] lr: 1.000e-02 eta: 1 day, 2:25:44 time: 0.265 data_time: 0.014 memory: 6404 grad_norm: 5.4118 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5715 loss: 2.5715 2022/06/29 16:40:41 - mmengine - INFO - Epoch(train) [9][2080/3757] lr: 1.000e-02 eta: 1 day, 2:25:35 time: 0.381 data_time: 0.014 memory: 6404 grad_norm: 5.2634 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5663 loss: 2.5663 2022/06/29 16:40:47 - mmengine - INFO - Epoch(train) [9][2100/3757] lr: 1.000e-02 eta: 1 day, 2:25:27 time: 0.258 data_time: 0.026 memory: 6404 grad_norm: 5.0673 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1619 loss: 2.1619 2022/06/29 16:40:52 - mmengine - INFO - Epoch(train) [9][2120/3757] lr: 1.000e-02 eta: 1 day, 2:25:22 time: 0.247 data_time: 0.013 memory: 6404 grad_norm: 6.1801 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2324 loss: 2.2324 2022/06/29 16:40:57 - mmengine - INFO - Epoch(train) [9][2140/3757] lr: 1.000e-02 eta: 1 day, 2:25:11 time: 0.288 data_time: 0.012 memory: 6404 grad_norm: 5.9920 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1317 loss: 2.1317 2022/06/29 16:41:02 - mmengine - INFO - Epoch(train) [9][2160/3757] lr: 1.000e-02 eta: 1 day, 2:25:01 time: 0.249 data_time: 0.019 memory: 6404 grad_norm: 5.9126 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0770 loss: 2.0770 2022/06/29 16:41:09 - mmengine - INFO - Epoch(train) [9][2180/3757] lr: 1.000e-02 eta: 1 day, 2:25:02 time: 0.327 data_time: 0.006 memory: 6404 grad_norm: 5.5332 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5781 loss: 2.5781 2022/06/29 16:41:14 - mmengine - INFO - Epoch(train) [9][2200/3757] lr: 1.000e-02 eta: 1 day, 2:24:54 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 5.9285 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5634 loss: 2.5634 2022/06/29 16:41:19 - mmengine - INFO - Epoch(train) [9][2220/3757] lr: 1.000e-02 eta: 1 day, 2:24:46 time: 0.241 data_time: 0.039 memory: 6404 grad_norm: 5.3782 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6137 loss: 2.6137 2022/06/29 16:41:25 - mmengine - INFO - Epoch(train) [9][2240/3757] lr: 1.000e-02 eta: 1 day, 2:24:44 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.4274 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.5029 loss: 2.5029 2022/06/29 16:41:31 - mmengine - INFO - Epoch(train) [9][2260/3757] lr: 1.000e-02 eta: 1 day, 2:24:45 time: 0.284 data_time: 0.011 memory: 6404 grad_norm: 5.2366 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1167 loss: 2.1167 2022/06/29 16:41:36 - mmengine - INFO - Epoch(train) [9][2280/3757] lr: 1.000e-02 eta: 1 day, 2:24:34 time: 0.248 data_time: 0.016 memory: 6404 grad_norm: 6.0610 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.2773 loss: 2.2773 2022/06/29 16:41:41 - mmengine - INFO - Epoch(train) [9][2300/3757] lr: 1.000e-02 eta: 1 day, 2:24:23 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.7966 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1629 loss: 2.1629 2022/06/29 16:41:46 - mmengine - INFO - Epoch(train) [9][2320/3757] lr: 1.000e-02 eta: 1 day, 2:24:12 time: 0.244 data_time: 0.016 memory: 6404 grad_norm: 4.9908 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1982 loss: 2.1982 2022/06/29 16:41:52 - mmengine - INFO - Epoch(train) [9][2340/3757] lr: 1.000e-02 eta: 1 day, 2:24:07 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 5.4658 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8179 loss: 1.8179 2022/06/29 16:41:57 - mmengine - INFO - Epoch(train) [9][2360/3757] lr: 1.000e-02 eta: 1 day, 2:23:58 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.1027 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4306 loss: 2.4306 2022/06/29 16:42:03 - mmengine - INFO - Epoch(train) [9][2380/3757] lr: 1.000e-02 eta: 1 day, 2:23:51 time: 0.245 data_time: 0.014 memory: 6404 grad_norm: 5.9251 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8778 loss: 1.8778 2022/06/29 16:42:08 - mmengine - INFO - Epoch(train) [9][2400/3757] lr: 1.000e-02 eta: 1 day, 2:23:45 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 5.4744 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0459 loss: 2.0459 2022/06/29 16:42:13 - mmengine - INFO - Epoch(train) [9][2420/3757] lr: 1.000e-02 eta: 1 day, 2:23:37 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.9527 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6705 loss: 2.6705 2022/06/29 16:42:19 - mmengine - INFO - Epoch(train) [9][2440/3757] lr: 1.000e-02 eta: 1 day, 2:23:34 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 4.6679 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0076 loss: 2.0076 2022/06/29 16:42:25 - mmengine - INFO - Epoch(train) [9][2460/3757] lr: 1.000e-02 eta: 1 day, 2:23:31 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 5.6199 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7661 loss: 1.7661 2022/06/29 16:42:31 - mmengine - INFO - Epoch(train) [9][2480/3757] lr: 1.000e-02 eta: 1 day, 2:23:27 time: 0.243 data_time: 0.012 memory: 6404 grad_norm: 5.2693 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5273 loss: 2.5273 2022/06/29 16:42:36 - mmengine - INFO - Epoch(train) [9][2500/3757] lr: 1.000e-02 eta: 1 day, 2:23:20 time: 0.243 data_time: 0.012 memory: 6404 grad_norm: 5.2637 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3491 loss: 2.3491 2022/06/29 16:42:42 - mmengine - INFO - Epoch(train) [9][2520/3757] lr: 1.000e-02 eta: 1 day, 2:23:19 time: 0.243 data_time: 0.006 memory: 6404 grad_norm: 5.5044 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2054 loss: 2.2054 2022/06/29 16:42:47 - mmengine - INFO - Epoch(train) [9][2540/3757] lr: 1.000e-02 eta: 1 day, 2:23:08 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 5.6183 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7349 loss: 1.7349 2022/06/29 16:42:52 - mmengine - INFO - Epoch(train) [9][2560/3757] lr: 1.000e-02 eta: 1 day, 2:22:57 time: 0.250 data_time: 0.022 memory: 6404 grad_norm: 5.7193 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1934 loss: 2.1934 2022/06/29 16:42:58 - mmengine - INFO - Epoch(train) [9][2580/3757] lr: 1.000e-02 eta: 1 day, 2:22:54 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.6002 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5810 loss: 2.5810 2022/06/29 16:43:03 - mmengine - INFO - Epoch(train) [9][2600/3757] lr: 1.000e-02 eta: 1 day, 2:22:49 time: 0.246 data_time: 0.012 memory: 6404 grad_norm: 5.7533 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3698 loss: 2.3698 2022/06/29 16:43:09 - mmengine - INFO - Epoch(train) [9][2620/3757] lr: 1.000e-02 eta: 1 day, 2:22:46 time: 0.253 data_time: 0.021 memory: 6404 grad_norm: 5.6370 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3258 loss: 2.3258 2022/06/29 16:43:14 - mmengine - INFO - Epoch(train) [9][2640/3757] lr: 1.000e-02 eta: 1 day, 2:22:36 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.1850 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4374 loss: 2.4374 2022/06/29 16:43:19 - mmengine - INFO - Epoch(train) [9][2660/3757] lr: 1.000e-02 eta: 1 day, 2:22:26 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 5.7788 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5854 loss: 2.5854 2022/06/29 16:43:25 - mmengine - INFO - Epoch(train) [9][2680/3757] lr: 1.000e-02 eta: 1 day, 2:22:22 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 6.5936 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3531 loss: 2.3531 2022/06/29 16:43:30 - mmengine - INFO - Epoch(train) [9][2700/3757] lr: 1.000e-02 eta: 1 day, 2:22:16 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.9355 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0062 loss: 2.0062 2022/06/29 16:43:36 - mmengine - INFO - Epoch(train) [9][2720/3757] lr: 1.000e-02 eta: 1 day, 2:22:09 time: 0.511 data_time: 0.007 memory: 6404 grad_norm: 5.4310 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1752 loss: 2.1752 2022/06/29 16:43:42 - mmengine - INFO - Epoch(train) [9][2740/3757] lr: 1.000e-02 eta: 1 day, 2:22:04 time: 0.248 data_time: 0.020 memory: 6404 grad_norm: 6.0934 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2532 loss: 2.2532 2022/06/29 16:43:48 - mmengine - INFO - Epoch(train) [9][2760/3757] lr: 1.000e-02 eta: 1 day, 2:22:04 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.9164 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4623 loss: 2.4623 2022/06/29 16:43:53 - mmengine - INFO - Epoch(train) [9][2780/3757] lr: 1.000e-02 eta: 1 day, 2:21:57 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 4.9134 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8238 loss: 2.8238 2022/06/29 16:43:58 - mmengine - INFO - Epoch(train) [9][2800/3757] lr: 1.000e-02 eta: 1 day, 2:21:50 time: 0.254 data_time: 0.017 memory: 6404 grad_norm: 5.6846 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3984 loss: 2.3984 2022/06/29 16:44:03 - mmengine - INFO - Epoch(train) [9][2820/3757] lr: 1.000e-02 eta: 1 day, 2:21:40 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 4.9420 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4252 loss: 2.4252 2022/06/29 16:44:09 - mmengine - INFO - Epoch(train) [9][2840/3757] lr: 1.000e-02 eta: 1 day, 2:21:36 time: 0.591 data_time: 0.010 memory: 6404 grad_norm: 6.0983 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2414 loss: 2.2414 2022/06/29 16:44:14 - mmengine - INFO - Epoch(train) [9][2860/3757] lr: 1.000e-02 eta: 1 day, 2:21:26 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 5.4758 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5190 loss: 2.5190 2022/06/29 16:44:20 - mmengine - INFO - Epoch(train) [9][2880/3757] lr: 1.000e-02 eta: 1 day, 2:21:20 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.3919 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4991 loss: 2.4991 2022/06/29 16:44:25 - mmengine - INFO - Epoch(train) [9][2900/3757] lr: 1.000e-02 eta: 1 day, 2:21:14 time: 0.377 data_time: 0.019 memory: 6404 grad_norm: 5.9290 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6811 loss: 2.6811 2022/06/29 16:44:31 - mmengine - INFO - Epoch(train) [9][2920/3757] lr: 1.000e-02 eta: 1 day, 2:21:11 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.5340 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.6976 loss: 2.6976 2022/06/29 16:44:36 - mmengine - INFO - Epoch(train) [9][2940/3757] lr: 1.000e-02 eta: 1 day, 2:21:00 time: 0.247 data_time: 0.017 memory: 6404 grad_norm: 4.8653 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3197 loss: 2.3197 2022/06/29 16:44:37 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 16:44:41 - mmengine - INFO - Epoch(train) [9][2960/3757] lr: 1.000e-02 eta: 1 day, 2:20:51 time: 0.332 data_time: 0.013 memory: 6404 grad_norm: 5.6157 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4974 loss: 2.4974 2022/06/29 16:44:47 - mmengine - INFO - Epoch(train) [9][2980/3757] lr: 1.000e-02 eta: 1 day, 2:20:46 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.2387 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0883 loss: 2.0883 2022/06/29 16:44:53 - mmengine - INFO - Epoch(train) [9][3000/3757] lr: 1.000e-02 eta: 1 day, 2:20:43 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 5.3072 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1548 loss: 2.1548 2022/06/29 16:44:58 - mmengine - INFO - Epoch(train) [9][3020/3757] lr: 1.000e-02 eta: 1 day, 2:20:37 time: 0.487 data_time: 0.011 memory: 6404 grad_norm: 5.3402 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3097 loss: 2.3097 2022/06/29 16:45:04 - mmengine - INFO - Epoch(train) [9][3040/3757] lr: 1.000e-02 eta: 1 day, 2:20:31 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 5.7041 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3794 loss: 2.3794 2022/06/29 16:45:09 - mmengine - INFO - Epoch(train) [9][3060/3757] lr: 1.000e-02 eta: 1 day, 2:20:26 time: 0.274 data_time: 0.008 memory: 6404 grad_norm: 5.2747 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1342 loss: 2.1342 2022/06/29 16:45:15 - mmengine - INFO - Epoch(train) [9][3080/3757] lr: 1.000e-02 eta: 1 day, 2:20:20 time: 0.385 data_time: 0.008 memory: 6404 grad_norm: 6.0470 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8415 loss: 1.8415 2022/06/29 16:45:20 - mmengine - INFO - Epoch(train) [9][3100/3757] lr: 1.000e-02 eta: 1 day, 2:20:12 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 5.1132 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4025 loss: 2.4025 2022/06/29 16:45:26 - mmengine - INFO - Epoch(train) [9][3120/3757] lr: 1.000e-02 eta: 1 day, 2:20:08 time: 0.250 data_time: 0.005 memory: 6404 grad_norm: 6.4666 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4657 loss: 2.4657 2022/06/29 16:45:31 - mmengine - INFO - Epoch(train) [9][3140/3757] lr: 1.000e-02 eta: 1 day, 2:20:01 time: 0.294 data_time: 0.007 memory: 6404 grad_norm: 5.2521 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3825 loss: 2.3825 2022/06/29 16:45:36 - mmengine - INFO - Epoch(train) [9][3160/3757] lr: 1.000e-02 eta: 1 day, 2:19:50 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 5.8307 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2826 loss: 2.2826 2022/06/29 16:45:41 - mmengine - INFO - Epoch(train) [9][3180/3757] lr: 1.000e-02 eta: 1 day, 2:19:40 time: 0.251 data_time: 0.014 memory: 6404 grad_norm: 5.0573 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1736 loss: 2.1736 2022/06/29 16:45:47 - mmengine - INFO - Epoch(train) [9][3200/3757] lr: 1.000e-02 eta: 1 day, 2:19:35 time: 0.497 data_time: 0.023 memory: 6404 grad_norm: 5.9984 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4113 loss: 2.4113 2022/06/29 16:45:52 - mmengine - INFO - Epoch(train) [9][3220/3757] lr: 1.000e-02 eta: 1 day, 2:19:27 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.5377 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3502 loss: 2.3502 2022/06/29 16:45:57 - mmengine - INFO - Epoch(train) [9][3240/3757] lr: 1.000e-02 eta: 1 day, 2:19:16 time: 0.248 data_time: 0.017 memory: 6404 grad_norm: 5.8386 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3928 loss: 2.3928 2022/06/29 16:46:03 - mmengine - INFO - Epoch(train) [9][3260/3757] lr: 1.000e-02 eta: 1 day, 2:19:11 time: 0.441 data_time: 0.026 memory: 6404 grad_norm: 5.9708 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3900 loss: 2.3900 2022/06/29 16:46:08 - mmengine - INFO - Epoch(train) [9][3280/3757] lr: 1.000e-02 eta: 1 day, 2:19:04 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 5.6459 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3435 loss: 2.3435 2022/06/29 16:46:14 - mmengine - INFO - Epoch(train) [9][3300/3757] lr: 1.000e-02 eta: 1 day, 2:19:00 time: 0.240 data_time: 0.009 memory: 6404 grad_norm: 5.6355 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8420 loss: 2.8420 2022/06/29 16:46:20 - mmengine - INFO - Epoch(train) [9][3320/3757] lr: 1.000e-02 eta: 1 day, 2:18:59 time: 0.801 data_time: 0.026 memory: 6404 grad_norm: 5.0080 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3399 loss: 2.3399 2022/06/29 16:46:25 - mmengine - INFO - Epoch(train) [9][3340/3757] lr: 1.000e-02 eta: 1 day, 2:18:55 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 4.8967 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8817 loss: 1.8817 2022/06/29 16:46:31 - mmengine - INFO - Epoch(train) [9][3360/3757] lr: 1.000e-02 eta: 1 day, 2:18:51 time: 0.266 data_time: 0.008 memory: 6404 grad_norm: 5.4884 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3252 loss: 2.3252 2022/06/29 16:46:36 - mmengine - INFO - Epoch(train) [9][3380/3757] lr: 1.000e-02 eta: 1 day, 2:18:43 time: 0.301 data_time: 0.042 memory: 6404 grad_norm: 5.4471 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1082 loss: 2.1082 2022/06/29 16:46:42 - mmengine - INFO - Epoch(train) [9][3400/3757] lr: 1.000e-02 eta: 1 day, 2:18:36 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 5.1497 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6450 loss: 2.6450 2022/06/29 16:46:47 - mmengine - INFO - Epoch(train) [9][3420/3757] lr: 1.000e-02 eta: 1 day, 2:18:27 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.6292 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5036 loss: 2.5036 2022/06/29 16:46:53 - mmengine - INFO - Epoch(train) [9][3440/3757] lr: 1.000e-02 eta: 1 day, 2:18:25 time: 0.416 data_time: 0.024 memory: 6404 grad_norm: 5.9359 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5917 loss: 2.5917 2022/06/29 16:46:59 - mmengine - INFO - Epoch(train) [9][3460/3757] lr: 1.000e-02 eta: 1 day, 2:18:20 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 5.2263 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4470 loss: 2.4470 2022/06/29 16:47:04 - mmengine - INFO - Epoch(train) [9][3480/3757] lr: 1.000e-02 eta: 1 day, 2:18:15 time: 0.241 data_time: 0.018 memory: 6404 grad_norm: 5.6027 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.0170 loss: 2.0170 2022/06/29 16:47:09 - mmengine - INFO - Epoch(train) [9][3500/3757] lr: 1.000e-02 eta: 1 day, 2:18:05 time: 0.334 data_time: 0.011 memory: 6404 grad_norm: 5.1097 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8024 loss: 2.8024 2022/06/29 16:47:14 - mmengine - INFO - Epoch(train) [9][3520/3757] lr: 1.000e-02 eta: 1 day, 2:17:56 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 5.0805 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5726 loss: 2.5726 2022/06/29 16:47:19 - mmengine - INFO - Epoch(train) [9][3540/3757] lr: 1.000e-02 eta: 1 day, 2:17:46 time: 0.251 data_time: 0.014 memory: 6404 grad_norm: 5.3847 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5936 loss: 2.5936 2022/06/29 16:47:25 - mmengine - INFO - Epoch(train) [9][3560/3757] lr: 1.000e-02 eta: 1 day, 2:17:39 time: 0.512 data_time: 0.010 memory: 6404 grad_norm: 5.7109 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1222 loss: 2.1222 2022/06/29 16:47:30 - mmengine - INFO - Epoch(train) [9][3580/3757] lr: 1.000e-02 eta: 1 day, 2:17:31 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 6.4632 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7395 loss: 2.7395 2022/06/29 16:47:35 - mmengine - INFO - Epoch(train) [9][3600/3757] lr: 1.000e-02 eta: 1 day, 2:17:21 time: 0.252 data_time: 0.016 memory: 6404 grad_norm: 5.8992 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3449 loss: 2.3449 2022/06/29 16:47:41 - mmengine - INFO - Epoch(train) [9][3620/3757] lr: 1.000e-02 eta: 1 day, 2:17:19 time: 0.853 data_time: 0.008 memory: 6404 grad_norm: 5.8395 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5547 loss: 2.5547 2022/06/29 16:47:47 - mmengine - INFO - Epoch(train) [9][3640/3757] lr: 1.000e-02 eta: 1 day, 2:17:12 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 5.5192 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9725 loss: 1.9725 2022/06/29 16:47:53 - mmengine - INFO - Epoch(train) [9][3660/3757] lr: 1.000e-02 eta: 1 day, 2:17:12 time: 0.256 data_time: 0.044 memory: 6404 grad_norm: 5.5008 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7817 loss: 2.7817 2022/06/29 16:47:58 - mmengine - INFO - Epoch(train) [9][3680/3757] lr: 1.000e-02 eta: 1 day, 2:17:09 time: 0.280 data_time: 0.007 memory: 6404 grad_norm: 5.7697 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2536 loss: 2.2536 2022/06/29 16:48:04 - mmengine - INFO - Epoch(train) [9][3700/3757] lr: 1.000e-02 eta: 1 day, 2:16:59 time: 0.278 data_time: 0.008 memory: 6404 grad_norm: 5.5082 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4795 loss: 2.4795 2022/06/29 16:48:09 - mmengine - INFO - Epoch(train) [9][3720/3757] lr: 1.000e-02 eta: 1 day, 2:16:54 time: 0.331 data_time: 0.007 memory: 6404 grad_norm: 5.6147 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4775 loss: 2.4775 2022/06/29 16:48:14 - mmengine - INFO - Epoch(train) [9][3740/3757] lr: 1.000e-02 eta: 1 day, 2:16:45 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 5.4367 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2641 loss: 2.2641 2022/06/29 16:48:18 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 16:48:29 - mmengine - INFO - Epoch(val) [9][20/310] eta: 0:00:49 time: 0.078 data_time: 0.005 memory: 6404 2022/06/29 16:48:33 - mmengine - INFO - Epoch(val) [9][40/310] eta: 0:00:57 time: 0.088 data_time: 0.008 memory: 1479 2022/06/29 16:48:38 - mmengine - INFO - Epoch(val) [9][60/310] eta: 0:01:12 time: 0.082 data_time: 0.005 memory: 1479 2022/06/29 16:48:44 - mmengine - INFO - Epoch(val) [9][80/310] eta: 0:01:17 time: 0.079 data_time: 0.005 memory: 1479 2022/06/29 16:48:48 - mmengine - INFO - Epoch(val) [9][100/310] eta: 0:00:58 time: 0.081 data_time: 0.007 memory: 1479 2022/06/29 16:48:54 - mmengine - INFO - Epoch(val) [9][120/310] eta: 0:01:01 time: 0.083 data_time: 0.006 memory: 1479 2022/06/29 16:48:59 - mmengine - INFO - Epoch(val) [9][140/310] eta: 0:00:50 time: 0.087 data_time: 0.006 memory: 1479 2022/06/29 16:49:04 - mmengine - INFO - Epoch(val) [9][160/310] eta: 0:00:47 time: 0.084 data_time: 0.006 memory: 1479 2022/06/29 16:49:10 - mmengine - INFO - Epoch(val) [9][180/310] eta: 0:00:40 time: 0.088 data_time: 0.005 memory: 1479 2022/06/29 16:49:14 - mmengine - INFO - Epoch(val) [9][200/310] eta: 0:00:31 time: 0.081 data_time: 0.005 memory: 1479 2022/06/29 16:49:20 - mmengine - INFO - Epoch(val) [9][220/310] eta: 0:00:24 time: 0.084 data_time: 0.006 memory: 1479 2022/06/29 16:49:26 - mmengine - INFO - Epoch(val) [9][240/310] eta: 0:00:20 time: 0.090 data_time: 0.005 memory: 1479 2022/06/29 16:49:30 - mmengine - INFO - Epoch(val) [9][260/310] eta: 0:00:14 time: 0.088 data_time: 0.010 memory: 1479 2022/06/29 16:49:36 - mmengine - INFO - Epoch(val) [9][280/310] eta: 0:00:09 time: 0.086 data_time: 0.006 memory: 1479 2022/06/29 16:49:41 - mmengine - INFO - Epoch(val) [9][300/310] eta: 0:00:02 time: 0.094 data_time: 0.008 memory: 1479 2022/06/29 16:49:44 - mmengine - INFO - Epoch(val) [9][310/310] acc/top1: 0.5090 acc/top5: 0.7645 acc/mean1: 0.5089 2022/06/29 16:49:53 - mmengine - INFO - Epoch(train) [10][20/3757] lr: 1.000e-02 eta: 1 day, 2:16:42 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.0019 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3536 loss: 2.3536 2022/06/29 16:49:59 - mmengine - INFO - Epoch(train) [10][40/3757] lr: 1.000e-02 eta: 1 day, 2:16:40 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 6.4895 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4661 loss: 2.4661 2022/06/29 16:50:04 - mmengine - INFO - Epoch(train) [10][60/3757] lr: 1.000e-02 eta: 1 day, 2:16:33 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.0320 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9973 loss: 1.9973 2022/06/29 16:50:11 - mmengine - INFO - Epoch(train) [10][80/3757] lr: 1.000e-02 eta: 1 day, 2:16:34 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 4.9634 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3031 loss: 2.3031 2022/06/29 16:50:16 - mmengine - INFO - Epoch(train) [10][100/3757] lr: 1.000e-02 eta: 1 day, 2:16:24 time: 0.260 data_time: 0.012 memory: 6404 grad_norm: 5.5130 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3815 loss: 2.3815 2022/06/29 16:50:21 - mmengine - INFO - Epoch(train) [10][120/3757] lr: 1.000e-02 eta: 1 day, 2:16:14 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 6.0965 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2553 loss: 2.2553 2022/06/29 16:50:27 - mmengine - INFO - Epoch(train) [10][140/3757] lr: 1.000e-02 eta: 1 day, 2:16:12 time: 0.244 data_time: 0.015 memory: 6404 grad_norm: 5.2561 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3745 loss: 2.3745 2022/06/29 16:50:32 - mmengine - INFO - Epoch(train) [10][160/3757] lr: 1.000e-02 eta: 1 day, 2:16:07 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 5.7683 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5291 loss: 2.5291 2022/06/29 16:50:38 - mmengine - INFO - Epoch(train) [10][180/3757] lr: 1.000e-02 eta: 1 day, 2:15:59 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.6991 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2265 loss: 2.2265 2022/06/29 16:50:40 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 16:50:44 - mmengine - INFO - Epoch(train) [10][200/3757] lr: 1.000e-02 eta: 1 day, 2:15:58 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 5.7144 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0090 loss: 2.0090 2022/06/29 16:50:49 - mmengine - INFO - Epoch(train) [10][220/3757] lr: 1.000e-02 eta: 1 day, 2:15:53 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.5804 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8608 loss: 2.8608 2022/06/29 16:50:54 - mmengine - INFO - Epoch(train) [10][240/3757] lr: 1.000e-02 eta: 1 day, 2:15:44 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 5.1372 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4017 loss: 2.4017 2022/06/29 16:51:00 - mmengine - INFO - Epoch(train) [10][260/3757] lr: 1.000e-02 eta: 1 day, 2:15:38 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.0682 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2654 loss: 2.2654 2022/06/29 16:51:06 - mmengine - INFO - Epoch(train) [10][280/3757] lr: 1.000e-02 eta: 1 day, 2:15:34 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.2295 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6315 loss: 2.6315 2022/06/29 16:51:12 - mmengine - INFO - Epoch(train) [10][300/3757] lr: 1.000e-02 eta: 1 day, 2:15:33 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 6.6838 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1162 loss: 2.1162 2022/06/29 16:51:17 - mmengine - INFO - Epoch(train) [10][320/3757] lr: 1.000e-02 eta: 1 day, 2:15:29 time: 0.264 data_time: 0.081 memory: 6404 grad_norm: 5.9328 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9674 loss: 1.9674 2022/06/29 16:51:23 - mmengine - INFO - Epoch(train) [10][340/3757] lr: 1.000e-02 eta: 1 day, 2:15:21 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 5.8244 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 1.5532 loss: 1.5532 2022/06/29 16:51:28 - mmengine - INFO - Epoch(train) [10][360/3757] lr: 1.000e-02 eta: 1 day, 2:15:13 time: 0.246 data_time: 0.012 memory: 6404 grad_norm: 5.1377 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3470 loss: 2.3470 2022/06/29 16:51:34 - mmengine - INFO - Epoch(train) [10][380/3757] lr: 1.000e-02 eta: 1 day, 2:15:09 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 5.6156 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3198 loss: 2.3198 2022/06/29 16:51:39 - mmengine - INFO - Epoch(train) [10][400/3757] lr: 1.000e-02 eta: 1 day, 2:15:06 time: 0.251 data_time: 0.005 memory: 6404 grad_norm: 5.5485 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9711 loss: 1.9711 2022/06/29 16:51:45 - mmengine - INFO - Epoch(train) [10][420/3757] lr: 1.000e-02 eta: 1 day, 2:14:58 time: 0.243 data_time: 0.017 memory: 6404 grad_norm: 5.4149 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4484 loss: 2.4484 2022/06/29 16:51:50 - mmengine - INFO - Epoch(train) [10][440/3757] lr: 1.000e-02 eta: 1 day, 2:14:50 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 6.2642 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2563 loss: 2.2563 2022/06/29 16:51:55 - mmengine - INFO - Epoch(train) [10][460/3757] lr: 1.000e-02 eta: 1 day, 2:14:44 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.7281 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5297 loss: 2.5297 2022/06/29 16:52:00 - mmengine - INFO - Epoch(train) [10][480/3757] lr: 1.000e-02 eta: 1 day, 2:14:33 time: 0.242 data_time: 0.011 memory: 6404 grad_norm: 5.9655 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3006 loss: 2.3006 2022/06/29 16:52:05 - mmengine - INFO - Epoch(train) [10][500/3757] lr: 1.000e-02 eta: 1 day, 2:14:23 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.4204 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3373 loss: 2.3373 2022/06/29 16:52:11 - mmengine - INFO - Epoch(train) [10][520/3757] lr: 1.000e-02 eta: 1 day, 2:14:17 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 4.9870 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2568 loss: 2.2568 2022/06/29 16:52:17 - mmengine - INFO - Epoch(train) [10][540/3757] lr: 1.000e-02 eta: 1 day, 2:14:12 time: 0.245 data_time: 0.012 memory: 6404 grad_norm: 6.0809 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3401 loss: 2.3401 2022/06/29 16:52:22 - mmengine - INFO - Epoch(train) [10][560/3757] lr: 1.000e-02 eta: 1 day, 2:14:07 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 4.9225 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0157 loss: 2.0157 2022/06/29 16:52:28 - mmengine - INFO - Epoch(train) [10][580/3757] lr: 1.000e-02 eta: 1 day, 2:14:05 time: 0.240 data_time: 0.010 memory: 6404 grad_norm: 5.6088 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7477 loss: 2.7477 2022/06/29 16:52:33 - mmengine - INFO - Epoch(train) [10][600/3757] lr: 1.000e-02 eta: 1 day, 2:13:58 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 4.7489 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8391 loss: 1.8391 2022/06/29 16:52:39 - mmengine - INFO - Epoch(train) [10][620/3757] lr: 1.000e-02 eta: 1 day, 2:13:49 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.2348 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6733 loss: 2.6733 2022/06/29 16:52:44 - mmengine - INFO - Epoch(train) [10][640/3757] lr: 1.000e-02 eta: 1 day, 2:13:46 time: 0.255 data_time: 0.018 memory: 6404 grad_norm: 6.1992 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9807 loss: 1.9807 2022/06/29 16:52:50 - mmengine - INFO - Epoch(train) [10][660/3757] lr: 1.000e-02 eta: 1 day, 2:13:42 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 4.9199 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6409 loss: 2.6409 2022/06/29 16:52:55 - mmengine - INFO - Epoch(train) [10][680/3757] lr: 1.000e-02 eta: 1 day, 2:13:33 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 5.3028 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8483 loss: 1.8483 2022/06/29 16:53:01 - mmengine - INFO - Epoch(train) [10][700/3757] lr: 1.000e-02 eta: 1 day, 2:13:33 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 5.8052 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2185 loss: 2.2185 2022/06/29 16:53:07 - mmengine - INFO - Epoch(train) [10][720/3757] lr: 1.000e-02 eta: 1 day, 2:13:31 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.0250 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3310 loss: 2.3310 2022/06/29 16:53:13 - mmengine - INFO - Epoch(train) [10][740/3757] lr: 1.000e-02 eta: 1 day, 2:13:23 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 4.9251 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3255 loss: 2.3255 2022/06/29 16:53:18 - mmengine - INFO - Epoch(train) [10][760/3757] lr: 1.000e-02 eta: 1 day, 2:13:12 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 5.7120 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1596 loss: 2.1596 2022/06/29 16:53:23 - mmengine - INFO - Epoch(train) [10][780/3757] lr: 1.000e-02 eta: 1 day, 2:13:09 time: 0.242 data_time: 0.009 memory: 6404 grad_norm: 6.3176 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0404 loss: 2.0404 2022/06/29 16:53:28 - mmengine - INFO - Epoch(train) [10][800/3757] lr: 1.000e-02 eta: 1 day, 2:12:58 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 4.6077 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1923 loss: 2.1923 2022/06/29 16:53:34 - mmengine - INFO - Epoch(train) [10][820/3757] lr: 1.000e-02 eta: 1 day, 2:12:55 time: 0.263 data_time: 0.009 memory: 6404 grad_norm: 5.9485 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5241 loss: 2.5241 2022/06/29 16:53:40 - mmengine - INFO - Epoch(train) [10][840/3757] lr: 1.000e-02 eta: 1 day, 2:12:54 time: 0.426 data_time: 0.205 memory: 6404 grad_norm: 5.2657 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2636 loss: 2.2636 2022/06/29 16:53:45 - mmengine - INFO - Epoch(train) [10][860/3757] lr: 1.000e-02 eta: 1 day, 2:12:45 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.0635 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4579 loss: 2.4579 2022/06/29 16:53:51 - mmengine - INFO - Epoch(train) [10][880/3757] lr: 1.000e-02 eta: 1 day, 2:12:44 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 6.1542 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1919 loss: 2.1919 2022/06/29 16:53:57 - mmengine - INFO - Epoch(train) [10][900/3757] lr: 1.000e-02 eta: 1 day, 2:12:37 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 5.5124 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3821 loss: 2.3821 2022/06/29 16:54:02 - mmengine - INFO - Epoch(train) [10][920/3757] lr: 1.000e-02 eta: 1 day, 2:12:31 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.4165 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3787 loss: 2.3787 2022/06/29 16:54:08 - mmengine - INFO - Epoch(train) [10][940/3757] lr: 1.000e-02 eta: 1 day, 2:12:25 time: 0.279 data_time: 0.011 memory: 6404 grad_norm: 5.5543 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3114 loss: 2.3114 2022/06/29 16:54:13 - mmengine - INFO - Epoch(train) [10][960/3757] lr: 1.000e-02 eta: 1 day, 2:12:18 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 6.0365 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2309 loss: 2.2309 2022/06/29 16:54:18 - mmengine - INFO - Epoch(train) [10][980/3757] lr: 1.000e-02 eta: 1 day, 2:12:08 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 5.3652 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2884 loss: 2.2884 2022/06/29 16:54:24 - mmengine - INFO - Epoch(train) [10][1000/3757] lr: 1.000e-02 eta: 1 day, 2:12:08 time: 0.243 data_time: 0.006 memory: 6404 grad_norm: 5.2267 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2066 loss: 2.2066 2022/06/29 16:54:30 - mmengine - INFO - Epoch(train) [10][1020/3757] lr: 1.000e-02 eta: 1 day, 2:12:06 time: 0.332 data_time: 0.007 memory: 6404 grad_norm: 5.6520 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2046 loss: 2.2046 2022/06/29 16:54:35 - mmengine - INFO - Epoch(train) [10][1040/3757] lr: 1.000e-02 eta: 1 day, 2:11:57 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 4.9957 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4618 loss: 2.4618 2022/06/29 16:54:41 - mmengine - INFO - Epoch(train) [10][1060/3757] lr: 1.000e-02 eta: 1 day, 2:11:51 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 5.3710 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5510 loss: 2.5510 2022/06/29 16:54:46 - mmengine - INFO - Epoch(train) [10][1080/3757] lr: 1.000e-02 eta: 1 day, 2:11:46 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 5.4148 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6352 loss: 2.6352 2022/06/29 16:54:52 - mmengine - INFO - Epoch(train) [10][1100/3757] lr: 1.000e-02 eta: 1 day, 2:11:38 time: 0.246 data_time: 0.015 memory: 6404 grad_norm: 5.7167 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9542 loss: 1.9542 2022/06/29 16:54:57 - mmengine - INFO - Epoch(train) [10][1120/3757] lr: 1.000e-02 eta: 1 day, 2:11:31 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.4835 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5696 loss: 2.5696 2022/06/29 16:55:02 - mmengine - INFO - Epoch(train) [10][1140/3757] lr: 1.000e-02 eta: 1 day, 2:11:22 time: 0.239 data_time: 0.011 memory: 6404 grad_norm: 5.9541 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6177 loss: 2.6177 2022/06/29 16:55:08 - mmengine - INFO - Epoch(train) [10][1160/3757] lr: 1.000e-02 eta: 1 day, 2:11:21 time: 0.253 data_time: 0.015 memory: 6404 grad_norm: 6.2010 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4548 loss: 2.4548 2022/06/29 16:55:13 - mmengine - INFO - Epoch(train) [10][1180/3757] lr: 1.000e-02 eta: 1 day, 2:11:12 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.6435 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2165 loss: 2.2165 2022/06/29 16:55:15 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 16:55:19 - mmengine - INFO - Epoch(train) [10][1200/3757] lr: 1.000e-02 eta: 1 day, 2:11:04 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.3129 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5969 loss: 2.5969 2022/06/29 16:55:24 - mmengine - INFO - Epoch(train) [10][1220/3757] lr: 1.000e-02 eta: 1 day, 2:10:57 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 6.0445 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1322 loss: 2.1322 2022/06/29 16:55:30 - mmengine - INFO - Epoch(train) [10][1240/3757] lr: 1.000e-02 eta: 1 day, 2:10:58 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 5.3410 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4843 loss: 2.4843 2022/06/29 16:55:35 - mmengine - INFO - Epoch(train) [10][1260/3757] lr: 1.000e-02 eta: 1 day, 2:10:48 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 6.1572 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3517 loss: 2.3517 2022/06/29 16:55:41 - mmengine - INFO - Epoch(train) [10][1280/3757] lr: 1.000e-02 eta: 1 day, 2:10:39 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.3902 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3713 loss: 2.3713 2022/06/29 16:55:46 - mmengine - INFO - Epoch(train) [10][1300/3757] lr: 1.000e-02 eta: 1 day, 2:10:29 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 5.5984 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4561 loss: 2.4561 2022/06/29 16:55:51 - mmengine - INFO - Epoch(train) [10][1320/3757] lr: 1.000e-02 eta: 1 day, 2:10:25 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 4.7754 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2265 loss: 2.2265 2022/06/29 16:55:56 - mmengine - INFO - Epoch(train) [10][1340/3757] lr: 1.000e-02 eta: 1 day, 2:10:14 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 5.2293 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3575 loss: 2.3575 2022/06/29 16:56:02 - mmengine - INFO - Epoch(train) [10][1360/3757] lr: 1.000e-02 eta: 1 day, 2:10:11 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.4767 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9454 loss: 1.9454 2022/06/29 16:56:07 - mmengine - INFO - Epoch(train) [10][1380/3757] lr: 1.000e-02 eta: 1 day, 2:10:03 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 5.5429 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4322 loss: 2.4322 2022/06/29 16:56:13 - mmengine - INFO - Epoch(train) [10][1400/3757] lr: 1.000e-02 eta: 1 day, 2:09:59 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.8753 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9076 loss: 1.9076 2022/06/29 16:56:18 - mmengine - INFO - Epoch(train) [10][1420/3757] lr: 1.000e-02 eta: 1 day, 2:09:50 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.5737 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1363 loss: 2.1363 2022/06/29 16:56:23 - mmengine - INFO - Epoch(train) [10][1440/3757] lr: 1.000e-02 eta: 1 day, 2:09:41 time: 0.250 data_time: 0.014 memory: 6404 grad_norm: 5.2694 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9969 loss: 1.9969 2022/06/29 16:56:30 - mmengine - INFO - Epoch(train) [10][1460/3757] lr: 1.000e-02 eta: 1 day, 2:09:42 time: 0.748 data_time: 0.006 memory: 6404 grad_norm: 5.5366 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3745 loss: 2.3745 2022/06/29 16:56:35 - mmengine - INFO - Epoch(train) [10][1480/3757] lr: 1.000e-02 eta: 1 day, 2:09:33 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 5.8138 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4802 loss: 2.4802 2022/06/29 16:56:41 - mmengine - INFO - Epoch(train) [10][1500/3757] lr: 1.000e-02 eta: 1 day, 2:09:31 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 4.9222 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2383 loss: 2.2383 2022/06/29 16:56:46 - mmengine - INFO - Epoch(train) [10][1520/3757] lr: 1.000e-02 eta: 1 day, 2:09:27 time: 0.272 data_time: 0.006 memory: 6404 grad_norm: 5.7358 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6650 loss: 2.6650 2022/06/29 16:56:52 - mmengine - INFO - Epoch(train) [10][1540/3757] lr: 1.000e-02 eta: 1 day, 2:09:19 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 5.4437 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5933 loss: 2.5933 2022/06/29 16:56:57 - mmengine - INFO - Epoch(train) [10][1560/3757] lr: 1.000e-02 eta: 1 day, 2:09:09 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 4.9458 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1335 loss: 2.1335 2022/06/29 16:57:02 - mmengine - INFO - Epoch(train) [10][1580/3757] lr: 1.000e-02 eta: 1 day, 2:09:04 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 5.3975 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0959 loss: 2.0959 2022/06/29 16:57:08 - mmengine - INFO - Epoch(train) [10][1600/3757] lr: 1.000e-02 eta: 1 day, 2:08:56 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 5.3498 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8852 loss: 2.8852 2022/06/29 16:57:13 - mmengine - INFO - Epoch(train) [10][1620/3757] lr: 1.000e-02 eta: 1 day, 2:08:53 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.7125 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.1882 loss: 2.1882 2022/06/29 16:57:19 - mmengine - INFO - Epoch(train) [10][1640/3757] lr: 1.000e-02 eta: 1 day, 2:08:49 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 5.8571 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3561 loss: 2.3561 2022/06/29 16:57:24 - mmengine - INFO - Epoch(train) [10][1660/3757] lr: 1.000e-02 eta: 1 day, 2:08:42 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.7291 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0846 loss: 2.0846 2022/06/29 16:57:30 - mmengine - INFO - Epoch(train) [10][1680/3757] lr: 1.000e-02 eta: 1 day, 2:08:37 time: 0.312 data_time: 0.008 memory: 6404 grad_norm: 6.3502 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4511 loss: 2.4511 2022/06/29 16:57:35 - mmengine - INFO - Epoch(train) [10][1700/3757] lr: 1.000e-02 eta: 1 day, 2:08:28 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.5794 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2853 loss: 2.2853 2022/06/29 16:57:41 - mmengine - INFO - Epoch(train) [10][1720/3757] lr: 1.000e-02 eta: 1 day, 2:08:24 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.4760 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3283 loss: 2.3283 2022/06/29 16:57:46 - mmengine - INFO - Epoch(train) [10][1740/3757] lr: 1.000e-02 eta: 1 day, 2:08:16 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 6.5196 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3838 loss: 2.3838 2022/06/29 16:57:52 - mmengine - INFO - Epoch(train) [10][1760/3757] lr: 1.000e-02 eta: 1 day, 2:08:13 time: 0.239 data_time: 0.006 memory: 6404 grad_norm: 5.3836 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4051 loss: 2.4051 2022/06/29 16:57:57 - mmengine - INFO - Epoch(train) [10][1780/3757] lr: 1.000e-02 eta: 1 day, 2:08:04 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.4564 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5903 loss: 2.5903 2022/06/29 16:58:03 - mmengine - INFO - Epoch(train) [10][1800/3757] lr: 1.000e-02 eta: 1 day, 2:07:59 time: 0.245 data_time: 0.022 memory: 6404 grad_norm: 5.7629 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4527 loss: 2.4527 2022/06/29 16:58:08 - mmengine - INFO - Epoch(train) [10][1820/3757] lr: 1.000e-02 eta: 1 day, 2:07:52 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.6084 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2211 loss: 2.2211 2022/06/29 16:58:14 - mmengine - INFO - Epoch(train) [10][1840/3757] lr: 1.000e-02 eta: 1 day, 2:07:50 time: 0.269 data_time: 0.011 memory: 6404 grad_norm: 5.4433 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9589 loss: 1.9589 2022/06/29 16:58:19 - mmengine - INFO - Epoch(train) [10][1860/3757] lr: 1.000e-02 eta: 1 day, 2:07:40 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 5.9690 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9189 loss: 1.9189 2022/06/29 16:58:24 - mmengine - INFO - Epoch(train) [10][1880/3757] lr: 1.000e-02 eta: 1 day, 2:07:32 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 6.1682 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.5117 loss: 2.5117 2022/06/29 16:58:30 - mmengine - INFO - Epoch(train) [10][1900/3757] lr: 1.000e-02 eta: 1 day, 2:07:26 time: 0.279 data_time: 0.006 memory: 6404 grad_norm: 5.3980 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7799 loss: 1.7799 2022/06/29 16:58:36 - mmengine - INFO - Epoch(train) [10][1920/3757] lr: 1.000e-02 eta: 1 day, 2:07:24 time: 0.270 data_time: 0.012 memory: 6404 grad_norm: 5.1742 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5064 loss: 2.5064 2022/06/29 16:58:41 - mmengine - INFO - Epoch(train) [10][1940/3757] lr: 1.000e-02 eta: 1 day, 2:07:14 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.3173 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2006 loss: 2.2006 2022/06/29 16:58:46 - mmengine - INFO - Epoch(train) [10][1960/3757] lr: 1.000e-02 eta: 1 day, 2:07:07 time: 0.254 data_time: 0.019 memory: 6404 grad_norm: 6.0364 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5287 loss: 2.5287 2022/06/29 16:58:52 - mmengine - INFO - Epoch(train) [10][1980/3757] lr: 1.000e-02 eta: 1 day, 2:07:01 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 4.7070 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4271 loss: 2.4271 2022/06/29 16:58:57 - mmengine - INFO - Epoch(train) [10][2000/3757] lr: 1.000e-02 eta: 1 day, 2:06:51 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 6.2774 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9016 loss: 1.9016 2022/06/29 16:59:02 - mmengine - INFO - Epoch(train) [10][2020/3757] lr: 1.000e-02 eta: 1 day, 2:06:46 time: 0.377 data_time: 0.039 memory: 6404 grad_norm: 6.0519 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5072 loss: 2.5072 2022/06/29 16:59:08 - mmengine - INFO - Epoch(train) [10][2040/3757] lr: 1.000e-02 eta: 1 day, 2:06:38 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 6.1724 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5614 loss: 2.5614 2022/06/29 16:59:13 - mmengine - INFO - Epoch(train) [10][2060/3757] lr: 1.000e-02 eta: 1 day, 2:06:34 time: 0.238 data_time: 0.009 memory: 6404 grad_norm: 4.9584 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0586 loss: 2.0586 2022/06/29 16:59:19 - mmengine - INFO - Epoch(train) [10][2080/3757] lr: 1.000e-02 eta: 1 day, 2:06:26 time: 0.289 data_time: 0.007 memory: 6404 grad_norm: 5.6263 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1292 loss: 2.1292 2022/06/29 16:59:25 - mmengine - INFO - Epoch(train) [10][2100/3757] lr: 1.000e-02 eta: 1 day, 2:06:26 time: 0.249 data_time: 0.021 memory: 6404 grad_norm: 5.6575 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1865 loss: 2.1865 2022/06/29 16:59:30 - mmengine - INFO - Epoch(train) [10][2120/3757] lr: 1.000e-02 eta: 1 day, 2:06:17 time: 0.242 data_time: 0.010 memory: 6404 grad_norm: 4.9140 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4966 loss: 2.4966 2022/06/29 16:59:36 - mmengine - INFO - Epoch(train) [10][2140/3757] lr: 1.000e-02 eta: 1 day, 2:06:16 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 5.2866 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3890 loss: 2.3890 2022/06/29 16:59:42 - mmengine - INFO - Epoch(train) [10][2160/3757] lr: 1.000e-02 eta: 1 day, 2:06:11 time: 0.249 data_time: 0.023 memory: 6404 grad_norm: 5.4280 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4294 loss: 2.4294 2022/06/29 16:59:47 - mmengine - INFO - Epoch(train) [10][2180/3757] lr: 1.000e-02 eta: 1 day, 2:06:02 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 5.5456 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3925 loss: 2.3925 2022/06/29 16:59:49 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 16:59:52 - mmengine - INFO - Epoch(train) [10][2200/3757] lr: 1.000e-02 eta: 1 day, 2:05:57 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 5.1670 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1695 loss: 2.1695 2022/06/29 16:59:58 - mmengine - INFO - Epoch(train) [10][2220/3757] lr: 1.000e-02 eta: 1 day, 2:05:49 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.6069 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2981 loss: 2.2981 2022/06/29 17:00:03 - mmengine - INFO - Epoch(train) [10][2240/3757] lr: 1.000e-02 eta: 1 day, 2:05:44 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 6.5876 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1923 loss: 2.1923 2022/06/29 17:00:09 - mmengine - INFO - Epoch(train) [10][2260/3757] lr: 1.000e-02 eta: 1 day, 2:05:42 time: 0.270 data_time: 0.011 memory: 6404 grad_norm: 5.2807 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6525 loss: 2.6525 2022/06/29 17:00:15 - mmengine - INFO - Epoch(train) [10][2280/3757] lr: 1.000e-02 eta: 1 day, 2:05:36 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 5.9241 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7486 loss: 2.7486 2022/06/29 17:00:20 - mmengine - INFO - Epoch(train) [10][2300/3757] lr: 1.000e-02 eta: 1 day, 2:05:26 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.8378 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5081 loss: 2.5081 2022/06/29 17:00:25 - mmengine - INFO - Epoch(train) [10][2320/3757] lr: 1.000e-02 eta: 1 day, 2:05:17 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.8058 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2401 loss: 2.2401 2022/06/29 17:00:31 - mmengine - INFO - Epoch(train) [10][2340/3757] lr: 1.000e-02 eta: 1 day, 2:05:13 time: 0.272 data_time: 0.007 memory: 6404 grad_norm: 6.1700 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5862 loss: 2.5862 2022/06/29 17:00:36 - mmengine - INFO - Epoch(train) [10][2360/3757] lr: 1.000e-02 eta: 1 day, 2:05:05 time: 0.288 data_time: 0.007 memory: 6404 grad_norm: 6.3099 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4412 loss: 2.4412 2022/06/29 17:00:41 - mmengine - INFO - Epoch(train) [10][2380/3757] lr: 1.000e-02 eta: 1 day, 2:05:01 time: 0.265 data_time: 0.006 memory: 6404 grad_norm: 5.8646 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4100 loss: 2.4100 2022/06/29 17:00:47 - mmengine - INFO - Epoch(train) [10][2400/3757] lr: 1.000e-02 eta: 1 day, 2:04:56 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 6.1945 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2275 loss: 2.2275 2022/06/29 17:00:52 - mmengine - INFO - Epoch(train) [10][2420/3757] lr: 1.000e-02 eta: 1 day, 2:04:46 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 5.4419 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4153 loss: 2.4153 2022/06/29 17:00:57 - mmengine - INFO - Epoch(train) [10][2440/3757] lr: 1.000e-02 eta: 1 day, 2:04:39 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 6.1404 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4547 loss: 2.4547 2022/06/29 17:01:03 - mmengine - INFO - Epoch(train) [10][2460/3757] lr: 1.000e-02 eta: 1 day, 2:04:33 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 5.4094 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5616 loss: 2.5616 2022/06/29 17:01:08 - mmengine - INFO - Epoch(train) [10][2480/3757] lr: 1.000e-02 eta: 1 day, 2:04:26 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 6.1310 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2071 loss: 2.2071 2022/06/29 17:01:14 - mmengine - INFO - Epoch(train) [10][2500/3757] lr: 1.000e-02 eta: 1 day, 2:04:20 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 4.7318 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2869 loss: 2.2869 2022/06/29 17:01:20 - mmengine - INFO - Epoch(train) [10][2520/3757] lr: 1.000e-02 eta: 1 day, 2:04:17 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 5.1471 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9014 loss: 1.9014 2022/06/29 17:01:25 - mmengine - INFO - Epoch(train) [10][2540/3757] lr: 1.000e-02 eta: 1 day, 2:04:10 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 6.0399 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7646 loss: 2.7646 2022/06/29 17:01:30 - mmengine - INFO - Epoch(train) [10][2560/3757] lr: 1.000e-02 eta: 1 day, 2:04:03 time: 0.278 data_time: 0.008 memory: 6404 grad_norm: 5.1378 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6040 loss: 2.6040 2022/06/29 17:01:36 - mmengine - INFO - Epoch(train) [10][2580/3757] lr: 1.000e-02 eta: 1 day, 2:03:56 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 5.3796 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8781 loss: 1.8781 2022/06/29 17:01:41 - mmengine - INFO - Epoch(train) [10][2600/3757] lr: 1.000e-02 eta: 1 day, 2:03:47 time: 0.270 data_time: 0.009 memory: 6404 grad_norm: 5.1755 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4408 loss: 2.4408 2022/06/29 17:01:46 - mmengine - INFO - Epoch(train) [10][2620/3757] lr: 1.000e-02 eta: 1 day, 2:03:39 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 4.8132 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1551 loss: 2.1551 2022/06/29 17:01:52 - mmengine - INFO - Epoch(train) [10][2640/3757] lr: 1.000e-02 eta: 1 day, 2:03:33 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.2848 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7671 loss: 2.7671 2022/06/29 17:01:57 - mmengine - INFO - Epoch(train) [10][2660/3757] lr: 1.000e-02 eta: 1 day, 2:03:28 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.9371 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4171 loss: 2.4171 2022/06/29 17:02:03 - mmengine - INFO - Epoch(train) [10][2680/3757] lr: 1.000e-02 eta: 1 day, 2:03:22 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.2349 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4444 loss: 2.4444 2022/06/29 17:02:08 - mmengine - INFO - Epoch(train) [10][2700/3757] lr: 1.000e-02 eta: 1 day, 2:03:14 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.3044 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8757 loss: 1.8757 2022/06/29 17:02:14 - mmengine - INFO - Epoch(train) [10][2720/3757] lr: 1.000e-02 eta: 1 day, 2:03:11 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.3060 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2161 loss: 2.2161 2022/06/29 17:02:19 - mmengine - INFO - Epoch(train) [10][2740/3757] lr: 1.000e-02 eta: 1 day, 2:03:04 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 5.2529 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3382 loss: 2.3382 2022/06/29 17:02:25 - mmengine - INFO - Epoch(train) [10][2760/3757] lr: 1.000e-02 eta: 1 day, 2:03:01 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.3689 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3830 loss: 2.3830 2022/06/29 17:02:30 - mmengine - INFO - Epoch(train) [10][2780/3757] lr: 1.000e-02 eta: 1 day, 2:02:53 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.6916 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5945 loss: 2.5945 2022/06/29 17:02:36 - mmengine - INFO - Epoch(train) [10][2800/3757] lr: 1.000e-02 eta: 1 day, 2:02:48 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.8670 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3004 loss: 2.3004 2022/06/29 17:02:41 - mmengine - INFO - Epoch(train) [10][2820/3757] lr: 1.000e-02 eta: 1 day, 2:02:37 time: 0.242 data_time: 0.016 memory: 6404 grad_norm: 5.3290 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2343 loss: 2.2343 2022/06/29 17:02:47 - mmengine - INFO - Epoch(train) [10][2840/3757] lr: 1.000e-02 eta: 1 day, 2:02:35 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.3990 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3414 loss: 2.3414 2022/06/29 17:02:53 - mmengine - INFO - Epoch(train) [10][2860/3757] lr: 1.000e-02 eta: 1 day, 2:02:33 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.9651 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1725 loss: 2.1725 2022/06/29 17:02:58 - mmengine - INFO - Epoch(train) [10][2880/3757] lr: 1.000e-02 eta: 1 day, 2:02:23 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 5.7122 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2611 loss: 2.2611 2022/06/29 17:03:03 - mmengine - INFO - Epoch(train) [10][2900/3757] lr: 1.000e-02 eta: 1 day, 2:02:14 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 5.2717 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2314 loss: 2.2314 2022/06/29 17:03:08 - mmengine - INFO - Epoch(train) [10][2920/3757] lr: 1.000e-02 eta: 1 day, 2:02:06 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 6.1913 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3858 loss: 2.3858 2022/06/29 17:03:14 - mmengine - INFO - Epoch(train) [10][2940/3757] lr: 1.000e-02 eta: 1 day, 2:02:01 time: 0.242 data_time: 0.019 memory: 6404 grad_norm: 5.9005 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6698 loss: 2.6698 2022/06/29 17:03:19 - mmengine - INFO - Epoch(train) [10][2960/3757] lr: 1.000e-02 eta: 1 day, 2:01:53 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.4356 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1508 loss: 2.1508 2022/06/29 17:03:25 - mmengine - INFO - Epoch(train) [10][2980/3757] lr: 1.000e-02 eta: 1 day, 2:01:47 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 5.7799 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6339 loss: 2.6339 2022/06/29 17:03:30 - mmengine - INFO - Epoch(train) [10][3000/3757] lr: 1.000e-02 eta: 1 day, 2:01:40 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.6048 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4699 loss: 2.4699 2022/06/29 17:03:35 - mmengine - INFO - Epoch(train) [10][3020/3757] lr: 1.000e-02 eta: 1 day, 2:01:33 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.4505 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3474 loss: 2.3474 2022/06/29 17:03:41 - mmengine - INFO - Epoch(train) [10][3040/3757] lr: 1.000e-02 eta: 1 day, 2:01:33 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.3883 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5758 loss: 2.5758 2022/06/29 17:03:47 - mmengine - INFO - Epoch(train) [10][3060/3757] lr: 1.000e-02 eta: 1 day, 2:01:26 time: 0.243 data_time: 0.009 memory: 6404 grad_norm: 5.8998 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4986 loss: 2.4986 2022/06/29 17:03:52 - mmengine - INFO - Epoch(train) [10][3080/3757] lr: 1.000e-02 eta: 1 day, 2:01:22 time: 0.281 data_time: 0.012 memory: 6404 grad_norm: 5.6098 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7580 loss: 2.7580 2022/06/29 17:03:58 - mmengine - INFO - Epoch(train) [10][3100/3757] lr: 1.000e-02 eta: 1 day, 2:01:13 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 5.4156 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1136 loss: 2.1136 2022/06/29 17:04:03 - mmengine - INFO - Epoch(train) [10][3120/3757] lr: 1.000e-02 eta: 1 day, 2:01:07 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 6.0115 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.4334 loss: 2.4334 2022/06/29 17:04:09 - mmengine - INFO - Epoch(train) [10][3140/3757] lr: 1.000e-02 eta: 1 day, 2:01:01 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.3819 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4159 loss: 2.4159 2022/06/29 17:04:14 - mmengine - INFO - Epoch(train) [10][3160/3757] lr: 1.000e-02 eta: 1 day, 2:00:57 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 6.6005 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4977 loss: 2.4977 2022/06/29 17:04:20 - mmengine - INFO - Epoch(train) [10][3180/3757] lr: 1.000e-02 eta: 1 day, 2:00:52 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 6.1123 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5642 loss: 2.5642 2022/06/29 17:04:22 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 17:04:25 - mmengine - INFO - Epoch(train) [10][3200/3757] lr: 1.000e-02 eta: 1 day, 2:00:47 time: 0.267 data_time: 0.009 memory: 6404 grad_norm: 5.6174 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5185 loss: 2.5185 2022/06/29 17:04:30 - mmengine - INFO - Epoch(train) [10][3220/3757] lr: 1.000e-02 eta: 1 day, 2:00:37 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 4.9695 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2567 loss: 2.2567 2022/06/29 17:04:36 - mmengine - INFO - Epoch(train) [10][3240/3757] lr: 1.000e-02 eta: 1 day, 2:00:30 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 5.9230 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1111 loss: 2.1111 2022/06/29 17:04:41 - mmengine - INFO - Epoch(train) [10][3260/3757] lr: 1.000e-02 eta: 1 day, 2:00:22 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.9398 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4627 loss: 2.4627 2022/06/29 17:04:47 - mmengine - INFO - Epoch(train) [10][3280/3757] lr: 1.000e-02 eta: 1 day, 2:00:17 time: 0.301 data_time: 0.006 memory: 6404 grad_norm: 4.7783 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0947 loss: 2.0947 2022/06/29 17:04:52 - mmengine - INFO - Epoch(train) [10][3300/3757] lr: 1.000e-02 eta: 1 day, 2:00:12 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.2547 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4332 loss: 2.4332 2022/06/29 17:04:58 - mmengine - INFO - Epoch(train) [10][3320/3757] lr: 1.000e-02 eta: 1 day, 2:00:08 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.3572 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2934 loss: 2.2934 2022/06/29 17:05:04 - mmengine - INFO - Epoch(train) [10][3340/3757] lr: 1.000e-02 eta: 1 day, 2:00:08 time: 0.499 data_time: 0.015 memory: 6404 grad_norm: 4.9058 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1512 loss: 2.1512 2022/06/29 17:05:09 - mmengine - INFO - Epoch(train) [10][3360/3757] lr: 1.000e-02 eta: 1 day, 1:59:58 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.7173 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2149 loss: 2.2149 2022/06/29 17:05:15 - mmengine - INFO - Epoch(train) [10][3380/3757] lr: 1.000e-02 eta: 1 day, 1:59:55 time: 0.270 data_time: 0.013 memory: 6404 grad_norm: 5.0055 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0011 loss: 2.0011 2022/06/29 17:05:20 - mmengine - INFO - Epoch(train) [10][3400/3757] lr: 1.000e-02 eta: 1 day, 1:59:46 time: 0.298 data_time: 0.022 memory: 6404 grad_norm: 5.8413 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2957 loss: 2.2957 2022/06/29 17:05:26 - mmengine - INFO - Epoch(train) [10][3420/3757] lr: 1.000e-02 eta: 1 day, 1:59:39 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 4.9158 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7643 loss: 1.7643 2022/06/29 17:05:32 - mmengine - INFO - Epoch(train) [10][3440/3757] lr: 1.000e-02 eta: 1 day, 1:59:39 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 4.8837 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0223 loss: 2.0223 2022/06/29 17:05:37 - mmengine - INFO - Epoch(train) [10][3460/3757] lr: 1.000e-02 eta: 1 day, 1:59:33 time: 0.324 data_time: 0.006 memory: 6404 grad_norm: 5.0044 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4613 loss: 2.4613 2022/06/29 17:05:42 - mmengine - INFO - Epoch(train) [10][3480/3757] lr: 1.000e-02 eta: 1 day, 1:59:23 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 6.1617 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6816 loss: 2.6816 2022/06/29 17:05:48 - mmengine - INFO - Epoch(train) [10][3500/3757] lr: 1.000e-02 eta: 1 day, 1:59:17 time: 0.242 data_time: 0.010 memory: 6404 grad_norm: 4.8785 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3573 loss: 2.3573 2022/06/29 17:05:53 - mmengine - INFO - Epoch(train) [10][3520/3757] lr: 1.000e-02 eta: 1 day, 1:59:10 time: 0.352 data_time: 0.009 memory: 6404 grad_norm: 5.6670 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2112 loss: 2.2112 2022/06/29 17:05:58 - mmengine - INFO - Epoch(train) [10][3540/3757] lr: 1.000e-02 eta: 1 day, 1:59:02 time: 0.259 data_time: 0.013 memory: 6404 grad_norm: 6.4406 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5080 loss: 2.5080 2022/06/29 17:06:04 - mmengine - INFO - Epoch(train) [10][3560/3757] lr: 1.000e-02 eta: 1 day, 1:58:59 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 5.6074 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1060 loss: 2.1060 2022/06/29 17:06:09 - mmengine - INFO - Epoch(train) [10][3580/3757] lr: 1.000e-02 eta: 1 day, 1:58:49 time: 0.287 data_time: 0.015 memory: 6404 grad_norm: 5.4677 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4596 loss: 2.4596 2022/06/29 17:06:14 - mmengine - INFO - Epoch(train) [10][3600/3757] lr: 1.000e-02 eta: 1 day, 1:58:40 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 5.2249 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3321 loss: 2.3321 2022/06/29 17:06:20 - mmengine - INFO - Epoch(train) [10][3620/3757] lr: 1.000e-02 eta: 1 day, 1:58:32 time: 0.246 data_time: 0.017 memory: 6404 grad_norm: 5.1303 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8792 loss: 2.8792 2022/06/29 17:06:25 - mmengine - INFO - Epoch(train) [10][3640/3757] lr: 1.000e-02 eta: 1 day, 1:58:29 time: 0.533 data_time: 0.010 memory: 6404 grad_norm: 5.6016 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3770 loss: 2.3770 2022/06/29 17:06:31 - mmengine - INFO - Epoch(train) [10][3660/3757] lr: 1.000e-02 eta: 1 day, 1:58:23 time: 0.437 data_time: 0.011 memory: 6404 grad_norm: 5.5807 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5272 loss: 2.5272 2022/06/29 17:06:36 - mmengine - INFO - Epoch(train) [10][3680/3757] lr: 1.000e-02 eta: 1 day, 1:58:17 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 4.5990 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6822 loss: 2.6822 2022/06/29 17:06:42 - mmengine - INFO - Epoch(train) [10][3700/3757] lr: 1.000e-02 eta: 1 day, 1:58:11 time: 0.240 data_time: 0.023 memory: 6404 grad_norm: 5.9809 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2705 loss: 2.2705 2022/06/29 17:06:47 - mmengine - INFO - Epoch(train) [10][3720/3757] lr: 1.000e-02 eta: 1 day, 1:58:04 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 4.7919 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0999 loss: 2.0999 2022/06/29 17:06:53 - mmengine - INFO - Epoch(train) [10][3740/3757] lr: 1.000e-02 eta: 1 day, 1:57:59 time: 0.251 data_time: 0.015 memory: 6404 grad_norm: 4.9769 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0400 loss: 2.0400 2022/06/29 17:06:57 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 17:06:57 - mmengine - INFO - Saving checkpoint at 10 epochs 2022/06/29 17:07:08 - mmengine - INFO - Epoch(val) [10][20/310] eta: 0:01:29 time: 0.077 data_time: 0.005 memory: 6404 2022/06/29 17:07:13 - mmengine - INFO - Epoch(val) [10][40/310] eta: 0:01:18 time: 0.102 data_time: 0.022 memory: 1479 2022/06/29 17:07:17 - mmengine - INFO - Epoch(val) [10][60/310] eta: 0:00:21 time: 0.082 data_time: 0.011 memory: 1479 2022/06/29 17:07:23 - mmengine - INFO - Epoch(val) [10][80/310] eta: 0:01:13 time: 0.077 data_time: 0.005 memory: 1479 2022/06/29 17:07:29 - mmengine - INFO - Epoch(val) [10][100/310] eta: 0:00:58 time: 0.762 data_time: 0.688 memory: 1479 2022/06/29 17:07:33 - mmengine - INFO - Epoch(val) [10][120/310] eta: 0:00:30 time: 0.076 data_time: 0.005 memory: 1479 2022/06/29 17:07:39 - mmengine - INFO - Epoch(val) [10][140/310] eta: 0:00:52 time: 0.078 data_time: 0.005 memory: 1479 2022/06/29 17:07:46 - mmengine - INFO - Epoch(val) [10][160/310] eta: 0:00:49 time: 1.772 data_time: 1.695 memory: 1479 2022/06/29 17:07:50 - mmengine - INFO - Epoch(val) [10][180/310] eta: 0:00:35 time: 0.078 data_time: 0.005 memory: 1479 2022/06/29 17:07:55 - mmengine - INFO - Epoch(val) [10][200/310] eta: 0:00:33 time: 0.082 data_time: 0.005 memory: 1479 2022/06/29 17:08:01 - mmengine - INFO - Epoch(val) [10][220/310] eta: 0:00:25 time: 1.608 data_time: 1.529 memory: 1479 2022/06/29 17:08:05 - mmengine - INFO - Epoch(val) [10][240/310] eta: 0:00:18 time: 0.079 data_time: 0.005 memory: 1479 2022/06/29 17:08:10 - mmengine - INFO - Epoch(val) [10][260/310] eta: 0:00:14 time: 0.082 data_time: 0.006 memory: 1479 2022/06/29 17:08:16 - mmengine - INFO - Epoch(val) [10][280/310] eta: 0:00:08 time: 0.804 data_time: 0.717 memory: 1479 2022/06/29 17:08:18 - mmengine - INFO - Epoch(val) [10][300/310] eta: 0:00:01 time: 0.074 data_time: 0.005 memory: 1479 2022/06/29 17:08:20 - mmengine - INFO - Epoch(val) [10][310/310] acc/top1: 0.5141 acc/top5: 0.7685 acc/mean1: 0.5141 2022/06/29 17:08:29 - mmengine - INFO - Epoch(train) [11][20/3757] lr: 1.000e-02 eta: 1 day, 1:57:57 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 5.6402 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3358 loss: 2.3358 2022/06/29 17:08:35 - mmengine - INFO - Epoch(train) [11][40/3757] lr: 1.000e-02 eta: 1 day, 1:57:57 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 4.8831 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1957 loss: 2.1957 2022/06/29 17:08:40 - mmengine - INFO - Epoch(train) [11][60/3757] lr: 1.000e-02 eta: 1 day, 1:57:47 time: 0.241 data_time: 0.009 memory: 6404 grad_norm: 5.0584 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5491 loss: 2.5491 2022/06/29 17:08:46 - mmengine - INFO - Epoch(train) [11][80/3757] lr: 1.000e-02 eta: 1 day, 1:57:40 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 6.4325 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0460 loss: 2.0460 2022/06/29 17:08:52 - mmengine - INFO - Epoch(train) [11][100/3757] lr: 1.000e-02 eta: 1 day, 1:57:39 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 5.1564 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6932 loss: 2.6932 2022/06/29 17:08:57 - mmengine - INFO - Epoch(train) [11][120/3757] lr: 1.000e-02 eta: 1 day, 1:57:29 time: 0.268 data_time: 0.011 memory: 6404 grad_norm: 5.4762 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3309 loss: 2.3309 2022/06/29 17:09:02 - mmengine - INFO - Epoch(train) [11][140/3757] lr: 1.000e-02 eta: 1 day, 1:57:22 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.1274 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1337 loss: 2.1337 2022/06/29 17:09:08 - mmengine - INFO - Epoch(train) [11][160/3757] lr: 1.000e-02 eta: 1 day, 1:57:16 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 4.8523 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6338 loss: 2.6338 2022/06/29 17:09:13 - mmengine - INFO - Epoch(train) [11][180/3757] lr: 1.000e-02 eta: 1 day, 1:57:10 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 5.2142 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1340 loss: 2.1340 2022/06/29 17:09:19 - mmengine - INFO - Epoch(train) [11][200/3757] lr: 1.000e-02 eta: 1 day, 1:57:07 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.5504 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3070 loss: 2.3070 2022/06/29 17:09:25 - mmengine - INFO - Epoch(train) [11][220/3757] lr: 1.000e-02 eta: 1 day, 1:57:03 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 4.8338 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4151 loss: 2.4151 2022/06/29 17:09:30 - mmengine - INFO - Epoch(train) [11][240/3757] lr: 1.000e-02 eta: 1 day, 1:56:54 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 5.2994 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0496 loss: 2.0496 2022/06/29 17:09:36 - mmengine - INFO - Epoch(train) [11][260/3757] lr: 1.000e-02 eta: 1 day, 1:56:53 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.5076 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8489 loss: 1.8489 2022/06/29 17:09:41 - mmengine - INFO - Epoch(train) [11][280/3757] lr: 1.000e-02 eta: 1 day, 1:56:46 time: 0.302 data_time: 0.008 memory: 6404 grad_norm: 5.2159 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9539 loss: 1.9539 2022/06/29 17:09:47 - mmengine - INFO - Epoch(train) [11][300/3757] lr: 1.000e-02 eta: 1 day, 1:56:38 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 5.0721 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.4894 loss: 2.4894 2022/06/29 17:09:52 - mmengine - INFO - Epoch(train) [11][320/3757] lr: 1.000e-02 eta: 1 day, 1:56:32 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.9192 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1379 loss: 2.1379 2022/06/29 17:09:57 - mmengine - INFO - Epoch(train) [11][340/3757] lr: 1.000e-02 eta: 1 day, 1:56:26 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 6.5728 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.2037 loss: 2.2037 2022/06/29 17:10:03 - mmengine - INFO - Epoch(train) [11][360/3757] lr: 1.000e-02 eta: 1 day, 1:56:16 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 5.1926 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1745 loss: 2.1745 2022/06/29 17:10:08 - mmengine - INFO - Epoch(train) [11][380/3757] lr: 1.000e-02 eta: 1 day, 1:56:13 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.1695 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9659 loss: 1.9659 2022/06/29 17:10:14 - mmengine - INFO - Epoch(train) [11][400/3757] lr: 1.000e-02 eta: 1 day, 1:56:05 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 5.3895 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5693 loss: 2.5693 2022/06/29 17:10:19 - mmengine - INFO - Epoch(train) [11][420/3757] lr: 1.000e-02 eta: 1 day, 1:55:58 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 6.0863 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9061 loss: 1.9061 2022/06/29 17:10:22 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 17:10:24 - mmengine - INFO - Epoch(train) [11][440/3757] lr: 1.000e-02 eta: 1 day, 1:55:49 time: 0.254 data_time: 0.019 memory: 6404 grad_norm: 5.4721 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0733 loss: 2.0733 2022/06/29 17:10:29 - mmengine - INFO - Epoch(train) [11][460/3757] lr: 1.000e-02 eta: 1 day, 1:55:40 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.0656 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3639 loss: 2.3639 2022/06/29 17:10:35 - mmengine - INFO - Epoch(train) [11][480/3757] lr: 1.000e-02 eta: 1 day, 1:55:34 time: 0.251 data_time: 0.018 memory: 6404 grad_norm: 6.1077 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0430 loss: 2.0430 2022/06/29 17:10:40 - mmengine - INFO - Epoch(train) [11][500/3757] lr: 1.000e-02 eta: 1 day, 1:55:28 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.3865 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2579 loss: 2.2579 2022/06/29 17:10:45 - mmengine - INFO - Epoch(train) [11][520/3757] lr: 1.000e-02 eta: 1 day, 1:55:20 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.0655 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7065 loss: 2.7065 2022/06/29 17:10:51 - mmengine - INFO - Epoch(train) [11][540/3757] lr: 1.000e-02 eta: 1 day, 1:55:15 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.3597 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2121 loss: 2.2121 2022/06/29 17:10:57 - mmengine - INFO - Epoch(train) [11][560/3757] lr: 1.000e-02 eta: 1 day, 1:55:11 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.7559 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0241 loss: 2.0241 2022/06/29 17:11:02 - mmengine - INFO - Epoch(train) [11][580/3757] lr: 1.000e-02 eta: 1 day, 1:55:06 time: 0.245 data_time: 0.012 memory: 6404 grad_norm: 5.6611 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4528 loss: 2.4528 2022/06/29 17:11:08 - mmengine - INFO - Epoch(train) [11][600/3757] lr: 1.000e-02 eta: 1 day, 1:54:59 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 5.5754 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3194 loss: 2.3194 2022/06/29 17:11:13 - mmengine - INFO - Epoch(train) [11][620/3757] lr: 1.000e-02 eta: 1 day, 1:54:54 time: 0.246 data_time: 0.015 memory: 6404 grad_norm: 5.7287 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6277 loss: 2.6277 2022/06/29 17:11:19 - mmengine - INFO - Epoch(train) [11][640/3757] lr: 1.000e-02 eta: 1 day, 1:54:50 time: 0.272 data_time: 0.007 memory: 6404 grad_norm: 5.6821 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3692 loss: 2.3692 2022/06/29 17:11:24 - mmengine - INFO - Epoch(train) [11][660/3757] lr: 1.000e-02 eta: 1 day, 1:54:42 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.0344 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2952 loss: 2.2952 2022/06/29 17:11:30 - mmengine - INFO - Epoch(train) [11][680/3757] lr: 1.000e-02 eta: 1 day, 1:54:35 time: 0.259 data_time: 0.017 memory: 6404 grad_norm: 5.4757 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7116 loss: 1.7116 2022/06/29 17:11:35 - mmengine - INFO - Epoch(train) [11][700/3757] lr: 1.000e-02 eta: 1 day, 1:54:32 time: 0.240 data_time: 0.011 memory: 6404 grad_norm: 5.3660 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1296 loss: 2.1296 2022/06/29 17:11:41 - mmengine - INFO - Epoch(train) [11][720/3757] lr: 1.000e-02 eta: 1 day, 1:54:26 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.3458 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4816 loss: 2.4816 2022/06/29 17:11:46 - mmengine - INFO - Epoch(train) [11][740/3757] lr: 1.000e-02 eta: 1 day, 1:54:20 time: 0.244 data_time: 0.017 memory: 6404 grad_norm: 5.8514 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6365 loss: 2.6365 2022/06/29 17:11:52 - mmengine - INFO - Epoch(train) [11][760/3757] lr: 1.000e-02 eta: 1 day, 1:54:16 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 6.4029 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4601 loss: 2.4601 2022/06/29 17:11:58 - mmengine - INFO - Epoch(train) [11][780/3757] lr: 1.000e-02 eta: 1 day, 1:54:12 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.0384 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4200 loss: 2.4200 2022/06/29 17:12:03 - mmengine - INFO - Epoch(train) [11][800/3757] lr: 1.000e-02 eta: 1 day, 1:54:06 time: 0.249 data_time: 0.022 memory: 6404 grad_norm: 5.2378 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3429 loss: 2.3429 2022/06/29 17:12:08 - mmengine - INFO - Epoch(train) [11][820/3757] lr: 1.000e-02 eta: 1 day, 1:53:57 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 4.9593 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2480 loss: 2.2480 2022/06/29 17:12:14 - mmengine - INFO - Epoch(train) [11][840/3757] lr: 1.000e-02 eta: 1 day, 1:53:48 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 6.1234 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.9193 loss: 1.9193 2022/06/29 17:12:19 - mmengine - INFO - Epoch(train) [11][860/3757] lr: 1.000e-02 eta: 1 day, 1:53:42 time: 0.255 data_time: 0.059 memory: 6404 grad_norm: 5.3447 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3199 loss: 2.3199 2022/06/29 17:12:24 - mmengine - INFO - Epoch(train) [11][880/3757] lr: 1.000e-02 eta: 1 day, 1:53:33 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.3646 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1445 loss: 2.1445 2022/06/29 17:12:30 - mmengine - INFO - Epoch(train) [11][900/3757] lr: 1.000e-02 eta: 1 day, 1:53:33 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.0466 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3332 loss: 2.3332 2022/06/29 17:12:36 - mmengine - INFO - Epoch(train) [11][920/3757] lr: 1.000e-02 eta: 1 day, 1:53:26 time: 0.240 data_time: 0.030 memory: 6404 grad_norm: 5.0587 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8450 loss: 1.8450 2022/06/29 17:12:41 - mmengine - INFO - Epoch(train) [11][940/3757] lr: 1.000e-02 eta: 1 day, 1:53:20 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.1219 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0784 loss: 2.0784 2022/06/29 17:12:47 - mmengine - INFO - Epoch(train) [11][960/3757] lr: 1.000e-02 eta: 1 day, 1:53:14 time: 0.244 data_time: 0.009 memory: 6404 grad_norm: 5.6632 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9854 loss: 1.9854 2022/06/29 17:12:52 - mmengine - INFO - Epoch(train) [11][980/3757] lr: 1.000e-02 eta: 1 day, 1:53:08 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 5.7656 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5167 loss: 2.5167 2022/06/29 17:12:58 - mmengine - INFO - Epoch(train) [11][1000/3757] lr: 1.000e-02 eta: 1 day, 1:53:01 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 6.4687 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2214 loss: 2.2214 2022/06/29 17:13:03 - mmengine - INFO - Epoch(train) [11][1020/3757] lr: 1.000e-02 eta: 1 day, 1:52:56 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.1147 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6006 loss: 2.6006 2022/06/29 17:13:08 - mmengine - INFO - Epoch(train) [11][1040/3757] lr: 1.000e-02 eta: 1 day, 1:52:45 time: 0.246 data_time: 0.019 memory: 6404 grad_norm: 5.9642 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2410 loss: 2.2410 2022/06/29 17:13:13 - mmengine - INFO - Epoch(train) [11][1060/3757] lr: 1.000e-02 eta: 1 day, 1:52:35 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.2013 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2308 loss: 2.2308 2022/06/29 17:13:18 - mmengine - INFO - Epoch(train) [11][1080/3757] lr: 1.000e-02 eta: 1 day, 1:52:28 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 4.9236 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2772 loss: 2.2772 2022/06/29 17:13:24 - mmengine - INFO - Epoch(train) [11][1100/3757] lr: 1.000e-02 eta: 1 day, 1:52:23 time: 0.237 data_time: 0.023 memory: 6404 grad_norm: 5.1060 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1901 loss: 2.1901 2022/06/29 17:13:30 - mmengine - INFO - Epoch(train) [11][1120/3757] lr: 1.000e-02 eta: 1 day, 1:52:25 time: 0.251 data_time: 0.020 memory: 6404 grad_norm: 6.2624 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4751 loss: 2.4751 2022/06/29 17:13:36 - mmengine - INFO - Epoch(train) [11][1140/3757] lr: 1.000e-02 eta: 1 day, 1:52:18 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 6.5654 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4877 loss: 2.4877 2022/06/29 17:13:41 - mmengine - INFO - Epoch(train) [11][1160/3757] lr: 1.000e-02 eta: 1 day, 1:52:10 time: 0.244 data_time: 0.030 memory: 6404 grad_norm: 5.6020 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1151 loss: 2.1151 2022/06/29 17:13:46 - mmengine - INFO - Epoch(train) [11][1180/3757] lr: 1.000e-02 eta: 1 day, 1:52:02 time: 0.248 data_time: 0.019 memory: 6404 grad_norm: 5.6943 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4493 loss: 2.4493 2022/06/29 17:13:51 - mmengine - INFO - Epoch(train) [11][1200/3757] lr: 1.000e-02 eta: 1 day, 1:51:52 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 5.5219 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3749 loss: 2.3749 2022/06/29 17:13:57 - mmengine - INFO - Epoch(train) [11][1220/3757] lr: 1.000e-02 eta: 1 day, 1:51:51 time: 0.256 data_time: 0.070 memory: 6404 grad_norm: 5.1793 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0181 loss: 2.0181 2022/06/29 17:14:03 - mmengine - INFO - Epoch(train) [11][1240/3757] lr: 1.000e-02 eta: 1 day, 1:51:46 time: 0.243 data_time: 0.012 memory: 6404 grad_norm: 5.8961 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4202 loss: 2.4202 2022/06/29 17:14:09 - mmengine - INFO - Epoch(train) [11][1260/3757] lr: 1.000e-02 eta: 1 day, 1:51:43 time: 0.243 data_time: 0.006 memory: 6404 grad_norm: 6.0322 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4399 loss: 2.4399 2022/06/29 17:14:14 - mmengine - INFO - Epoch(train) [11][1280/3757] lr: 1.000e-02 eta: 1 day, 1:51:34 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 5.1941 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4871 loss: 2.4871 2022/06/29 17:14:19 - mmengine - INFO - Epoch(train) [11][1300/3757] lr: 1.000e-02 eta: 1 day, 1:51:28 time: 0.283 data_time: 0.017 memory: 6404 grad_norm: 6.1546 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2535 loss: 2.2535 2022/06/29 17:14:25 - mmengine - INFO - Epoch(train) [11][1320/3757] lr: 1.000e-02 eta: 1 day, 1:51:20 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.0192 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0756 loss: 2.0756 2022/06/29 17:14:30 - mmengine - INFO - Epoch(train) [11][1340/3757] lr: 1.000e-02 eta: 1 day, 1:51:15 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.4890 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1192 loss: 2.1192 2022/06/29 17:14:35 - mmengine - INFO - Epoch(train) [11][1360/3757] lr: 1.000e-02 eta: 1 day, 1:51:08 time: 0.243 data_time: 0.012 memory: 6404 grad_norm: 5.7695 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9932 loss: 1.9932 2022/06/29 17:14:41 - mmengine - INFO - Epoch(train) [11][1380/3757] lr: 1.000e-02 eta: 1 day, 1:51:00 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 5.3620 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1876 loss: 2.1876 2022/06/29 17:14:46 - mmengine - INFO - Epoch(train) [11][1400/3757] lr: 1.000e-02 eta: 1 day, 1:50:51 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 6.1477 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0802 loss: 2.0802 2022/06/29 17:14:52 - mmengine - INFO - Epoch(train) [11][1420/3757] lr: 1.000e-02 eta: 1 day, 1:50:48 time: 0.272 data_time: 0.046 memory: 6404 grad_norm: 4.3606 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0535 loss: 2.0535 2022/06/29 17:14:54 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 17:14:57 - mmengine - INFO - Epoch(train) [11][1440/3757] lr: 1.000e-02 eta: 1 day, 1:50:41 time: 0.243 data_time: 0.006 memory: 6404 grad_norm: 5.2741 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2803 loss: 2.2803 2022/06/29 17:15:03 - mmengine - INFO - Epoch(train) [11][1460/3757] lr: 1.000e-02 eta: 1 day, 1:50:36 time: 0.236 data_time: 0.015 memory: 6404 grad_norm: 5.1907 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0995 loss: 2.0995 2022/06/29 17:15:08 - mmengine - INFO - Epoch(train) [11][1480/3757] lr: 1.000e-02 eta: 1 day, 1:50:29 time: 0.247 data_time: 0.016 memory: 6404 grad_norm: 5.2894 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2498 loss: 2.2498 2022/06/29 17:15:13 - mmengine - INFO - Epoch(train) [11][1500/3757] lr: 1.000e-02 eta: 1 day, 1:50:23 time: 0.246 data_time: 0.012 memory: 6404 grad_norm: 5.1857 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0855 loss: 2.0855 2022/06/29 17:15:19 - mmengine - INFO - Epoch(train) [11][1520/3757] lr: 1.000e-02 eta: 1 day, 1:50:18 time: 0.473 data_time: 0.006 memory: 6404 grad_norm: 5.5114 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3176 loss: 2.3176 2022/06/29 17:15:25 - mmengine - INFO - Epoch(train) [11][1540/3757] lr: 1.000e-02 eta: 1 day, 1:50:14 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 5.3771 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9991 loss: 1.9991 2022/06/29 17:15:31 - mmengine - INFO - Epoch(train) [11][1560/3757] lr: 1.000e-02 eta: 1 day, 1:50:11 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.2242 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1625 loss: 2.1625 2022/06/29 17:15:36 - mmengine - INFO - Epoch(train) [11][1580/3757] lr: 1.000e-02 eta: 1 day, 1:50:04 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.8091 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3592 loss: 2.3592 2022/06/29 17:15:41 - mmengine - INFO - Epoch(train) [11][1600/3757] lr: 1.000e-02 eta: 1 day, 1:49:57 time: 0.240 data_time: 0.009 memory: 6404 grad_norm: 5.1772 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9188 loss: 1.9188 2022/06/29 17:15:47 - mmengine - INFO - Epoch(train) [11][1620/3757] lr: 1.000e-02 eta: 1 day, 1:49:50 time: 0.241 data_time: 0.008 memory: 6404 grad_norm: 5.1748 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2504 loss: 2.2504 2022/06/29 17:15:52 - mmengine - INFO - Epoch(train) [11][1640/3757] lr: 1.000e-02 eta: 1 day, 1:49:45 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 6.1490 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4247 loss: 2.4247 2022/06/29 17:15:58 - mmengine - INFO - Epoch(train) [11][1660/3757] lr: 1.000e-02 eta: 1 day, 1:49:38 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 5.0140 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2112 loss: 2.2112 2022/06/29 17:16:04 - mmengine - INFO - Epoch(train) [11][1680/3757] lr: 1.000e-02 eta: 1 day, 1:49:36 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 5.7785 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8186 loss: 2.8186 2022/06/29 17:16:09 - mmengine - INFO - Epoch(train) [11][1700/3757] lr: 1.000e-02 eta: 1 day, 1:49:26 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.9459 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2242 loss: 2.2242 2022/06/29 17:16:14 - mmengine - INFO - Epoch(train) [11][1720/3757] lr: 1.000e-02 eta: 1 day, 1:49:16 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 4.8481 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1336 loss: 2.1336 2022/06/29 17:16:19 - mmengine - INFO - Epoch(train) [11][1740/3757] lr: 1.000e-02 eta: 1 day, 1:49:07 time: 0.249 data_time: 0.021 memory: 6404 grad_norm: 5.6916 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1554 loss: 2.1554 2022/06/29 17:16:24 - mmengine - INFO - Epoch(train) [11][1760/3757] lr: 1.000e-02 eta: 1 day, 1:48:59 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 4.9054 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2748 loss: 2.2748 2022/06/29 17:16:30 - mmengine - INFO - Epoch(train) [11][1780/3757] lr: 1.000e-02 eta: 1 day, 1:48:55 time: 0.643 data_time: 0.011 memory: 6404 grad_norm: 6.1414 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1401 loss: 2.1401 2022/06/29 17:16:35 - mmengine - INFO - Epoch(train) [11][1800/3757] lr: 1.000e-02 eta: 1 day, 1:48:46 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 5.1432 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2290 loss: 2.2290 2022/06/29 17:16:42 - mmengine - INFO - Epoch(train) [11][1820/3757] lr: 1.000e-02 eta: 1 day, 1:48:51 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 5.9730 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1318 loss: 2.1318 2022/06/29 17:16:47 - mmengine - INFO - Epoch(train) [11][1840/3757] lr: 1.000e-02 eta: 1 day, 1:48:42 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.2871 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0642 loss: 2.0642 2022/06/29 17:16:52 - mmengine - INFO - Epoch(train) [11][1860/3757] lr: 1.000e-02 eta: 1 day, 1:48:38 time: 0.263 data_time: 0.035 memory: 6404 grad_norm: 5.8691 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3150 loss: 2.3150 2022/06/29 17:16:58 - mmengine - INFO - Epoch(train) [11][1880/3757] lr: 1.000e-02 eta: 1 day, 1:48:31 time: 0.272 data_time: 0.007 memory: 6404 grad_norm: 6.4481 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4737 loss: 2.4737 2022/06/29 17:17:04 - mmengine - INFO - Epoch(train) [11][1900/3757] lr: 1.000e-02 eta: 1 day, 1:48:30 time: 0.234 data_time: 0.011 memory: 6404 grad_norm: 5.4635 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3603 loss: 2.3603 2022/06/29 17:17:09 - mmengine - INFO - Epoch(train) [11][1920/3757] lr: 1.000e-02 eta: 1 day, 1:48:21 time: 0.244 data_time: 0.026 memory: 6404 grad_norm: 6.0192 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4881 loss: 2.4881 2022/06/29 17:17:14 - mmengine - INFO - Epoch(train) [11][1940/3757] lr: 1.000e-02 eta: 1 day, 1:48:12 time: 0.260 data_time: 0.018 memory: 6404 grad_norm: 5.2917 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1204 loss: 2.1204 2022/06/29 17:17:20 - mmengine - INFO - Epoch(train) [11][1960/3757] lr: 1.000e-02 eta: 1 day, 1:48:07 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.5763 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1273 loss: 2.1273 2022/06/29 17:17:25 - mmengine - INFO - Epoch(train) [11][1980/3757] lr: 1.000e-02 eta: 1 day, 1:48:02 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 4.8673 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2911 loss: 2.2911 2022/06/29 17:17:30 - mmengine - INFO - Epoch(train) [11][2000/3757] lr: 1.000e-02 eta: 1 day, 1:47:53 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.4628 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2798 loss: 2.2798 2022/06/29 17:17:36 - mmengine - INFO - Epoch(train) [11][2020/3757] lr: 1.000e-02 eta: 1 day, 1:47:51 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 5.5171 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1243 loss: 2.1243 2022/06/29 17:17:42 - mmengine - INFO - Epoch(train) [11][2040/3757] lr: 1.000e-02 eta: 1 day, 1:47:43 time: 0.248 data_time: 0.018 memory: 6404 grad_norm: 5.5132 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2124 loss: 2.2124 2022/06/29 17:17:47 - mmengine - INFO - Epoch(train) [11][2060/3757] lr: 1.000e-02 eta: 1 day, 1:47:41 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 6.1789 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2503 loss: 2.2503 2022/06/29 17:17:53 - mmengine - INFO - Epoch(train) [11][2080/3757] lr: 1.000e-02 eta: 1 day, 1:47:38 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 4.9329 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0983 loss: 2.0983 2022/06/29 17:17:58 - mmengine - INFO - Epoch(train) [11][2100/3757] lr: 1.000e-02 eta: 1 day, 1:47:28 time: 0.246 data_time: 0.020 memory: 6404 grad_norm: 5.6157 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3091 loss: 2.3091 2022/06/29 17:18:04 - mmengine - INFO - Epoch(train) [11][2120/3757] lr: 1.000e-02 eta: 1 day, 1:47:26 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 5.6358 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3662 loss: 2.3662 2022/06/29 17:18:10 - mmengine - INFO - Epoch(train) [11][2140/3757] lr: 1.000e-02 eta: 1 day, 1:47:20 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 5.2728 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2098 loss: 2.2098 2022/06/29 17:18:15 - mmengine - INFO - Epoch(train) [11][2160/3757] lr: 1.000e-02 eta: 1 day, 1:47:14 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 5.8962 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9614 loss: 1.9614 2022/06/29 17:18:21 - mmengine - INFO - Epoch(train) [11][2180/3757] lr: 1.000e-02 eta: 1 day, 1:47:10 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.4035 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4421 loss: 2.4421 2022/06/29 17:18:26 - mmengine - INFO - Epoch(train) [11][2200/3757] lr: 1.000e-02 eta: 1 day, 1:47:05 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 5.9944 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0093 loss: 2.0093 2022/06/29 17:18:32 - mmengine - INFO - Epoch(train) [11][2220/3757] lr: 1.000e-02 eta: 1 day, 1:46:59 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 5.6975 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6027 loss: 2.6027 2022/06/29 17:18:37 - mmengine - INFO - Epoch(train) [11][2240/3757] lr: 1.000e-02 eta: 1 day, 1:46:51 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 5.5683 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.4679 loss: 2.4679 2022/06/29 17:18:43 - mmengine - INFO - Epoch(train) [11][2260/3757] lr: 1.000e-02 eta: 1 day, 1:46:47 time: 0.287 data_time: 0.006 memory: 6404 grad_norm: 6.5156 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0183 loss: 2.0183 2022/06/29 17:18:48 - mmengine - INFO - Epoch(train) [11][2280/3757] lr: 1.000e-02 eta: 1 day, 1:46:41 time: 0.244 data_time: 0.012 memory: 6404 grad_norm: 5.1417 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4892 loss: 2.4892 2022/06/29 17:18:55 - mmengine - INFO - Epoch(train) [11][2300/3757] lr: 1.000e-02 eta: 1 day, 1:46:42 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.4736 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3361 loss: 2.3361 2022/06/29 17:19:00 - mmengine - INFO - Epoch(train) [11][2320/3757] lr: 1.000e-02 eta: 1 day, 1:46:33 time: 0.262 data_time: 0.010 memory: 6404 grad_norm: 5.7086 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1404 loss: 2.1404 2022/06/29 17:19:05 - mmengine - INFO - Epoch(train) [11][2340/3757] lr: 1.000e-02 eta: 1 day, 1:46:24 time: 0.248 data_time: 0.025 memory: 6404 grad_norm: 5.7668 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0084 loss: 2.0084 2022/06/29 17:19:10 - mmengine - INFO - Epoch(train) [11][2360/3757] lr: 1.000e-02 eta: 1 day, 1:46:14 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 5.2408 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5845 loss: 2.5845 2022/06/29 17:19:15 - mmengine - INFO - Epoch(train) [11][2380/3757] lr: 1.000e-02 eta: 1 day, 1:46:06 time: 0.250 data_time: 0.019 memory: 6404 grad_norm: 6.2079 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0142 loss: 3.0142 2022/06/29 17:19:20 - mmengine - INFO - Epoch(train) [11][2400/3757] lr: 1.000e-02 eta: 1 day, 1:45:57 time: 0.283 data_time: 0.018 memory: 6404 grad_norm: 5.5065 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4738 loss: 2.4738 2022/06/29 17:19:26 - mmengine - INFO - Epoch(train) [11][2420/3757] lr: 1.000e-02 eta: 1 day, 1:45:54 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.9968 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9873 loss: 1.9873 2022/06/29 17:19:29 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 17:19:32 - mmengine - INFO - Epoch(train) [11][2440/3757] lr: 1.000e-02 eta: 1 day, 1:45:50 time: 0.270 data_time: 0.029 memory: 6404 grad_norm: 5.4816 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1662 loss: 2.1662 2022/06/29 17:19:37 - mmengine - INFO - Epoch(train) [11][2460/3757] lr: 1.000e-02 eta: 1 day, 1:45:43 time: 0.255 data_time: 0.018 memory: 6404 grad_norm: 5.4219 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3753 loss: 2.3753 2022/06/29 17:19:43 - mmengine - INFO - Epoch(train) [11][2480/3757] lr: 1.000e-02 eta: 1 day, 1:45:37 time: 0.281 data_time: 0.008 memory: 6404 grad_norm: 6.4723 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.4004 loss: 2.4004 2022/06/29 17:19:48 - mmengine - INFO - Epoch(train) [11][2500/3757] lr: 1.000e-02 eta: 1 day, 1:45:28 time: 0.292 data_time: 0.017 memory: 6404 grad_norm: 6.4767 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7805 loss: 1.7805 2022/06/29 17:19:53 - mmengine - INFO - Epoch(train) [11][2520/3757] lr: 1.000e-02 eta: 1 day, 1:45:19 time: 0.250 data_time: 0.064 memory: 6404 grad_norm: 4.9950 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0132 loss: 2.0132 2022/06/29 17:19:59 - mmengine - INFO - Epoch(train) [11][2540/3757] lr: 1.000e-02 eta: 1 day, 1:45:22 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 5.6790 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8268 loss: 1.8268 2022/06/29 17:20:05 - mmengine - INFO - Epoch(train) [11][2560/3757] lr: 1.000e-02 eta: 1 day, 1:45:17 time: 0.251 data_time: 0.023 memory: 6404 grad_norm: 6.0975 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7499 loss: 2.7499 2022/06/29 17:20:10 - mmengine - INFO - Epoch(train) [11][2580/3757] lr: 1.000e-02 eta: 1 day, 1:45:08 time: 0.250 data_time: 0.024 memory: 6404 grad_norm: 5.9127 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4716 loss: 2.4716 2022/06/29 17:20:16 - mmengine - INFO - Epoch(train) [11][2600/3757] lr: 1.000e-02 eta: 1 day, 1:45:04 time: 0.239 data_time: 0.006 memory: 6404 grad_norm: 5.4400 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5109 loss: 2.5109 2022/06/29 17:20:22 - mmengine - INFO - Epoch(train) [11][2620/3757] lr: 1.000e-02 eta: 1 day, 1:45:00 time: 0.257 data_time: 0.048 memory: 6404 grad_norm: 4.8545 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0807 loss: 2.0807 2022/06/29 17:20:27 - mmengine - INFO - Epoch(train) [11][2640/3757] lr: 1.000e-02 eta: 1 day, 1:44:52 time: 0.259 data_time: 0.023 memory: 6404 grad_norm: 5.1253 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2718 loss: 2.2718 2022/06/29 17:20:32 - mmengine - INFO - Epoch(train) [11][2660/3757] lr: 1.000e-02 eta: 1 day, 1:44:46 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 4.8546 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3103 loss: 2.3103 2022/06/29 17:20:38 - mmengine - INFO - Epoch(train) [11][2680/3757] lr: 1.000e-02 eta: 1 day, 1:44:43 time: 0.292 data_time: 0.047 memory: 6404 grad_norm: 6.2629 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4572 loss: 2.4572 2022/06/29 17:20:43 - mmengine - INFO - Epoch(train) [11][2700/3757] lr: 1.000e-02 eta: 1 day, 1:44:37 time: 0.236 data_time: 0.016 memory: 6404 grad_norm: 5.6717 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4481 loss: 2.4481 2022/06/29 17:20:49 - mmengine - INFO - Epoch(train) [11][2720/3757] lr: 1.000e-02 eta: 1 day, 1:44:29 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 4.9202 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0332 loss: 2.0332 2022/06/29 17:20:54 - mmengine - INFO - Epoch(train) [11][2740/3757] lr: 1.000e-02 eta: 1 day, 1:44:23 time: 0.251 data_time: 0.021 memory: 6404 grad_norm: 4.7795 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9169 loss: 1.9169 2022/06/29 17:21:00 - mmengine - INFO - Epoch(train) [11][2760/3757] lr: 1.000e-02 eta: 1 day, 1:44:19 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 5.0000 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5933 loss: 2.5933 2022/06/29 17:21:05 - mmengine - INFO - Epoch(train) [11][2780/3757] lr: 1.000e-02 eta: 1 day, 1:44:12 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 6.1273 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8907 loss: 1.8907 2022/06/29 17:21:11 - mmengine - INFO - Epoch(train) [11][2800/3757] lr: 1.000e-02 eta: 1 day, 1:44:04 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 5.2960 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6020 loss: 2.6020 2022/06/29 17:21:16 - mmengine - INFO - Epoch(train) [11][2820/3757] lr: 1.000e-02 eta: 1 day, 1:43:54 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 5.5460 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3483 loss: 2.3483 2022/06/29 17:21:21 - mmengine - INFO - Epoch(train) [11][2840/3757] lr: 1.000e-02 eta: 1 day, 1:43:46 time: 0.240 data_time: 0.011 memory: 6404 grad_norm: 5.8922 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5417 loss: 2.5417 2022/06/29 17:21:27 - mmengine - INFO - Epoch(train) [11][2860/3757] lr: 1.000e-02 eta: 1 day, 1:43:46 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 5.4770 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2262 loss: 2.2262 2022/06/29 17:21:32 - mmengine - INFO - Epoch(train) [11][2880/3757] lr: 1.000e-02 eta: 1 day, 1:43:36 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 5.0304 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3102 loss: 2.3102 2022/06/29 17:21:38 - mmengine - INFO - Epoch(train) [11][2900/3757] lr: 1.000e-02 eta: 1 day, 1:43:32 time: 0.241 data_time: 0.009 memory: 6404 grad_norm: 4.9256 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4725 loss: 2.4725 2022/06/29 17:21:43 - mmengine - INFO - Epoch(train) [11][2920/3757] lr: 1.000e-02 eta: 1 day, 1:43:28 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 5.1701 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4322 loss: 2.4322 2022/06/29 17:21:48 - mmengine - INFO - Epoch(train) [11][2940/3757] lr: 1.000e-02 eta: 1 day, 1:43:18 time: 0.244 data_time: 0.015 memory: 6404 grad_norm: 6.3241 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8172 loss: 2.8172 2022/06/29 17:21:55 - mmengine - INFO - Epoch(train) [11][2960/3757] lr: 1.000e-02 eta: 1 day, 1:43:20 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.2524 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4360 loss: 2.4360 2022/06/29 17:22:00 - mmengine - INFO - Epoch(train) [11][2980/3757] lr: 1.000e-02 eta: 1 day, 1:43:11 time: 0.243 data_time: 0.012 memory: 6404 grad_norm: 5.6853 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3096 loss: 2.3096 2022/06/29 17:22:05 - mmengine - INFO - Epoch(train) [11][3000/3757] lr: 1.000e-02 eta: 1 day, 1:43:03 time: 0.282 data_time: 0.011 memory: 6404 grad_norm: 5.7721 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5869 loss: 2.5869 2022/06/29 17:22:10 - mmengine - INFO - Epoch(train) [11][3020/3757] lr: 1.000e-02 eta: 1 day, 1:42:54 time: 0.247 data_time: 0.015 memory: 6404 grad_norm: 5.7768 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4242 loss: 2.4242 2022/06/29 17:22:15 - mmengine - INFO - Epoch(train) [11][3040/3757] lr: 1.000e-02 eta: 1 day, 1:42:45 time: 0.250 data_time: 0.014 memory: 6404 grad_norm: 5.5747 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5565 loss: 2.5565 2022/06/29 17:22:20 - mmengine - INFO - Epoch(train) [11][3060/3757] lr: 1.000e-02 eta: 1 day, 1:42:36 time: 0.247 data_time: 0.018 memory: 6404 grad_norm: 5.4431 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1049 loss: 2.1049 2022/06/29 17:22:26 - mmengine - INFO - Epoch(train) [11][3080/3757] lr: 1.000e-02 eta: 1 day, 1:42:34 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.3625 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9383 loss: 2.9383 2022/06/29 17:22:32 - mmengine - INFO - Epoch(train) [11][3100/3757] lr: 1.000e-02 eta: 1 day, 1:42:27 time: 0.248 data_time: 0.021 memory: 6404 grad_norm: 5.1043 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4267 loss: 2.4267 2022/06/29 17:22:37 - mmengine - INFO - Epoch(train) [11][3120/3757] lr: 1.000e-02 eta: 1 day, 1:42:21 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 6.3804 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1301 loss: 2.1301 2022/06/29 17:22:43 - mmengine - INFO - Epoch(train) [11][3140/3757] lr: 1.000e-02 eta: 1 day, 1:42:19 time: 0.243 data_time: 0.016 memory: 6404 grad_norm: 4.8536 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2476 loss: 2.2476 2022/06/29 17:22:49 - mmengine - INFO - Epoch(train) [11][3160/3757] lr: 1.000e-02 eta: 1 day, 1:42:14 time: 0.252 data_time: 0.019 memory: 6404 grad_norm: 5.1005 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1560 loss: 2.1560 2022/06/29 17:22:54 - mmengine - INFO - Epoch(train) [11][3180/3757] lr: 1.000e-02 eta: 1 day, 1:42:07 time: 0.238 data_time: 0.014 memory: 6404 grad_norm: 5.5123 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4520 loss: 2.4520 2022/06/29 17:22:59 - mmengine - INFO - Epoch(train) [11][3200/3757] lr: 1.000e-02 eta: 1 day, 1:41:58 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 5.1512 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5090 loss: 2.5090 2022/06/29 17:23:05 - mmengine - INFO - Epoch(train) [11][3220/3757] lr: 1.000e-02 eta: 1 day, 1:41:55 time: 0.245 data_time: 0.017 memory: 6404 grad_norm: 5.2435 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7825 loss: 1.7825 2022/06/29 17:23:11 - mmengine - INFO - Epoch(train) [11][3240/3757] lr: 1.000e-02 eta: 1 day, 1:41:50 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 5.1483 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.6795 loss: 2.6795 2022/06/29 17:23:16 - mmengine - INFO - Epoch(train) [11][3260/3757] lr: 1.000e-02 eta: 1 day, 1:41:40 time: 0.248 data_time: 0.021 memory: 6404 grad_norm: 5.8238 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0773 loss: 2.0773 2022/06/29 17:23:21 - mmengine - INFO - Epoch(train) [11][3280/3757] lr: 1.000e-02 eta: 1 day, 1:41:35 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 5.1458 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3132 loss: 2.3132 2022/06/29 17:23:27 - mmengine - INFO - Epoch(train) [11][3300/3757] lr: 1.000e-02 eta: 1 day, 1:41:30 time: 0.245 data_time: 0.014 memory: 6404 grad_norm: 5.9473 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4762 loss: 2.4762 2022/06/29 17:23:32 - mmengine - INFO - Epoch(train) [11][3320/3757] lr: 1.000e-02 eta: 1 day, 1:41:23 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.3004 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1724 loss: 2.1724 2022/06/29 17:23:37 - mmengine - INFO - Epoch(train) [11][3340/3757] lr: 1.000e-02 eta: 1 day, 1:41:15 time: 0.250 data_time: 0.014 memory: 6404 grad_norm: 5.1199 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1121 loss: 2.1121 2022/06/29 17:23:43 - mmengine - INFO - Epoch(train) [11][3360/3757] lr: 1.000e-02 eta: 1 day, 1:41:12 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 6.1823 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7768 loss: 1.7768 2022/06/29 17:23:48 - mmengine - INFO - Epoch(train) [11][3380/3757] lr: 1.000e-02 eta: 1 day, 1:41:03 time: 0.273 data_time: 0.007 memory: 6404 grad_norm: 5.6572 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3445 loss: 2.3445 2022/06/29 17:23:54 - mmengine - INFO - Epoch(train) [11][3400/3757] lr: 1.000e-02 eta: 1 day, 1:40:59 time: 0.246 data_time: 0.021 memory: 6404 grad_norm: 5.7026 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3370 loss: 2.3370 2022/06/29 17:23:59 - mmengine - INFO - Epoch(train) [11][3420/3757] lr: 1.000e-02 eta: 1 day, 1:40:51 time: 0.241 data_time: 0.011 memory: 6404 grad_norm: 5.7146 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1893 loss: 2.1893 2022/06/29 17:24:02 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 17:24:05 - mmengine - INFO - Epoch(train) [11][3440/3757] lr: 1.000e-02 eta: 1 day, 1:40:44 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.7355 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1172 loss: 2.1172 2022/06/29 17:24:10 - mmengine - INFO - Epoch(train) [11][3460/3757] lr: 1.000e-02 eta: 1 day, 1:40:38 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 5.2143 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9251 loss: 2.9251 2022/06/29 17:24:16 - mmengine - INFO - Epoch(train) [11][3480/3757] lr: 1.000e-02 eta: 1 day, 1:40:33 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 5.4281 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.2121 loss: 2.2121 2022/06/29 17:24:21 - mmengine - INFO - Epoch(train) [11][3500/3757] lr: 1.000e-02 eta: 1 day, 1:40:25 time: 0.248 data_time: 0.013 memory: 6404 grad_norm: 5.4059 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7998 loss: 1.7998 2022/06/29 17:24:26 - mmengine - INFO - Epoch(train) [11][3520/3757] lr: 1.000e-02 eta: 1 day, 1:40:18 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 5.0221 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0481 loss: 2.0481 2022/06/29 17:24:32 - mmengine - INFO - Epoch(train) [11][3540/3757] lr: 1.000e-02 eta: 1 day, 1:40:13 time: 0.411 data_time: 0.009 memory: 6404 grad_norm: 5.9238 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3931 loss: 2.3931 2022/06/29 17:24:37 - mmengine - INFO - Epoch(train) [11][3560/3757] lr: 1.000e-02 eta: 1 day, 1:40:04 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.1121 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4393 loss: 2.4393 2022/06/29 17:24:43 - mmengine - INFO - Epoch(train) [11][3580/3757] lr: 1.000e-02 eta: 1 day, 1:40:02 time: 0.277 data_time: 0.055 memory: 6404 grad_norm: 5.5348 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.3983 loss: 2.3983 2022/06/29 17:24:48 - mmengine - INFO - Epoch(train) [11][3600/3757] lr: 1.000e-02 eta: 1 day, 1:39:56 time: 0.429 data_time: 0.010 memory: 6404 grad_norm: 4.9567 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5846 loss: 2.5846 2022/06/29 17:24:54 - mmengine - INFO - Epoch(train) [11][3620/3757] lr: 1.000e-02 eta: 1 day, 1:39:50 time: 0.276 data_time: 0.010 memory: 6404 grad_norm: 5.3561 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7425 loss: 1.7425 2022/06/29 17:24:59 - mmengine - INFO - Epoch(train) [11][3640/3757] lr: 1.000e-02 eta: 1 day, 1:39:43 time: 0.247 data_time: 0.014 memory: 6404 grad_norm: 6.7058 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6149 loss: 2.6149 2022/06/29 17:25:05 - mmengine - INFO - Epoch(train) [11][3660/3757] lr: 1.000e-02 eta: 1 day, 1:39:41 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.9406 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1464 loss: 2.1464 2022/06/29 17:25:11 - mmengine - INFO - Epoch(train) [11][3680/3757] lr: 1.000e-02 eta: 1 day, 1:39:35 time: 0.268 data_time: 0.013 memory: 6404 grad_norm: 5.6067 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3877 loss: 2.3877 2022/06/29 17:25:17 - mmengine - INFO - Epoch(train) [11][3700/3757] lr: 1.000e-02 eta: 1 day, 1:39:33 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.4248 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2661 loss: 2.2661 2022/06/29 17:25:22 - mmengine - INFO - Epoch(train) [11][3720/3757] lr: 1.000e-02 eta: 1 day, 1:39:24 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 5.5612 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8870 loss: 1.8870 2022/06/29 17:25:28 - mmengine - INFO - Epoch(train) [11][3740/3757] lr: 1.000e-02 eta: 1 day, 1:39:20 time: 0.247 data_time: 0.049 memory: 6404 grad_norm: 5.1404 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4547 loss: 2.4547 2022/06/29 17:25:32 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 17:25:39 - mmengine - INFO - Epoch(val) [11][20/310] eta: 0:01:26 time: 0.101 data_time: 0.009 memory: 6404 2022/06/29 17:25:45 - mmengine - INFO - Epoch(val) [11][40/310] eta: 0:01:25 time: 0.497 data_time: 0.416 memory: 1479 2022/06/29 17:25:48 - mmengine - INFO - Epoch(val) [11][60/310] eta: 0:00:29 time: 0.096 data_time: 0.008 memory: 1479 2022/06/29 17:25:55 - mmengine - INFO - Epoch(val) [11][80/310] eta: 0:01:13 time: 0.091 data_time: 0.008 memory: 1479 2022/06/29 17:26:01 - mmengine - INFO - Epoch(val) [11][100/310] eta: 0:01:00 time: 1.404 data_time: 1.325 memory: 1479 2022/06/29 17:26:04 - mmengine - INFO - Epoch(val) [11][120/310] eta: 0:00:34 time: 0.087 data_time: 0.008 memory: 1479 2022/06/29 17:26:11 - mmengine - INFO - Epoch(val) [11][140/310] eta: 0:00:53 time: 0.197 data_time: 0.121 memory: 1479 2022/06/29 17:26:17 - mmengine - INFO - Epoch(val) [11][160/310] eta: 0:00:48 time: 2.271 data_time: 2.186 memory: 1479 2022/06/29 17:26:21 - mmengine - INFO - Epoch(val) [11][180/310] eta: 0:00:38 time: 0.083 data_time: 0.008 memory: 1479 2022/06/29 17:26:26 - mmengine - INFO - Epoch(val) [11][200/310] eta: 0:00:29 time: 0.086 data_time: 0.011 memory: 1479 2022/06/29 17:26:32 - mmengine - INFO - Epoch(val) [11][220/310] eta: 0:00:27 time: 0.631 data_time: 0.542 memory: 1479 2022/06/29 17:26:36 - mmengine - INFO - Epoch(val) [11][240/310] eta: 0:00:18 time: 0.099 data_time: 0.008 memory: 1479 2022/06/29 17:26:42 - mmengine - INFO - Epoch(val) [11][260/310] eta: 0:00:15 time: 0.086 data_time: 0.009 memory: 1479 2022/06/29 17:26:48 - mmengine - INFO - Epoch(val) [11][280/310] eta: 0:00:08 time: 0.626 data_time: 0.539 memory: 1479 2022/06/29 17:26:52 - mmengine - INFO - Epoch(val) [11][300/310] eta: 0:00:02 time: 0.092 data_time: 0.008 memory: 1479 2022/06/29 17:26:56 - mmengine - INFO - Epoch(val) [11][310/310] acc/top1: 0.5222 acc/top5: 0.7786 acc/mean1: 0.5220 2022/06/29 17:27:05 - mmengine - INFO - Epoch(train) [12][20/3757] lr: 1.000e-02 eta: 1 day, 1:39:19 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.5294 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0994 loss: 2.0994 2022/06/29 17:27:10 - mmengine - INFO - Epoch(train) [12][40/3757] lr: 1.000e-02 eta: 1 day, 1:39:15 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 5.7039 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4600 loss: 2.4600 2022/06/29 17:27:16 - mmengine - INFO - Epoch(train) [12][60/3757] lr: 1.000e-02 eta: 1 day, 1:39:09 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 4.8924 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9920 loss: 1.9920 2022/06/29 17:27:22 - mmengine - INFO - Epoch(train) [12][80/3757] lr: 1.000e-02 eta: 1 day, 1:39:06 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.5905 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0429 loss: 2.0429 2022/06/29 17:27:27 - mmengine - INFO - Epoch(train) [12][100/3757] lr: 1.000e-02 eta: 1 day, 1:39:00 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.3985 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9542 loss: 1.9542 2022/06/29 17:27:33 - mmengine - INFO - Epoch(train) [12][120/3757] lr: 1.000e-02 eta: 1 day, 1:38:54 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 5.8941 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0347 loss: 2.0347 2022/06/29 17:27:38 - mmengine - INFO - Epoch(train) [12][140/3757] lr: 1.000e-02 eta: 1 day, 1:38:48 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 4.8409 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5285 loss: 2.5285 2022/06/29 17:27:43 - mmengine - INFO - Epoch(train) [12][160/3757] lr: 1.000e-02 eta: 1 day, 1:38:42 time: 0.250 data_time: 0.005 memory: 6404 grad_norm: 6.1646 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5640 loss: 2.5640 2022/06/29 17:27:49 - mmengine - INFO - Epoch(train) [12][180/3757] lr: 1.000e-02 eta: 1 day, 1:38:37 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.8164 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.2199 loss: 2.2199 2022/06/29 17:27:55 - mmengine - INFO - Epoch(train) [12][200/3757] lr: 1.000e-02 eta: 1 day, 1:38:32 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 6.0817 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6310 loss: 2.6310 2022/06/29 17:28:00 - mmengine - INFO - Epoch(train) [12][220/3757] lr: 1.000e-02 eta: 1 day, 1:38:28 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 6.1579 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7072 loss: 2.7072 2022/06/29 17:28:06 - mmengine - INFO - Epoch(train) [12][240/3757] lr: 1.000e-02 eta: 1 day, 1:38:22 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 5.9261 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1777 loss: 2.1777 2022/06/29 17:28:11 - mmengine - INFO - Epoch(train) [12][260/3757] lr: 1.000e-02 eta: 1 day, 1:38:16 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.2034 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1278 loss: 2.1278 2022/06/29 17:28:17 - mmengine - INFO - Epoch(train) [12][280/3757] lr: 1.000e-02 eta: 1 day, 1:38:12 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.6792 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1500 loss: 2.1500 2022/06/29 17:28:22 - mmengine - INFO - Epoch(train) [12][300/3757] lr: 1.000e-02 eta: 1 day, 1:38:05 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 5.4361 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1070 loss: 2.1070 2022/06/29 17:28:28 - mmengine - INFO - Epoch(train) [12][320/3757] lr: 1.000e-02 eta: 1 day, 1:38:01 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.8609 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6422 loss: 2.6422 2022/06/29 17:28:34 - mmengine - INFO - Epoch(train) [12][340/3757] lr: 1.000e-02 eta: 1 day, 1:37:56 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.8759 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2748 loss: 2.2748 2022/06/29 17:28:39 - mmengine - INFO - Epoch(train) [12][360/3757] lr: 1.000e-02 eta: 1 day, 1:37:46 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.7537 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0658 loss: 2.0658 2022/06/29 17:28:44 - mmengine - INFO - Epoch(train) [12][380/3757] lr: 1.000e-02 eta: 1 day, 1:37:40 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.2879 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8773 loss: 1.8773 2022/06/29 17:28:49 - mmengine - INFO - Epoch(train) [12][400/3757] lr: 1.000e-02 eta: 1 day, 1:37:32 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 5.9578 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9343 loss: 1.9343 2022/06/29 17:28:55 - mmengine - INFO - Epoch(train) [12][420/3757] lr: 1.000e-02 eta: 1 day, 1:37:24 time: 0.244 data_time: 0.051 memory: 6404 grad_norm: 4.9973 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3240 loss: 2.3240 2022/06/29 17:29:00 - mmengine - INFO - Epoch(train) [12][440/3757] lr: 1.000e-02 eta: 1 day, 1:37:19 time: 0.351 data_time: 0.007 memory: 6404 grad_norm: 6.4211 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4507 loss: 2.4507 2022/06/29 17:29:06 - mmengine - INFO - Epoch(train) [12][460/3757] lr: 1.000e-02 eta: 1 day, 1:37:12 time: 0.239 data_time: 0.006 memory: 6404 grad_norm: 5.6372 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7110 loss: 2.7110 2022/06/29 17:29:11 - mmengine - INFO - Epoch(train) [12][480/3757] lr: 1.000e-02 eta: 1 day, 1:37:08 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.4592 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0494 loss: 2.0494 2022/06/29 17:29:17 - mmengine - INFO - Epoch(train) [12][500/3757] lr: 1.000e-02 eta: 1 day, 1:37:04 time: 0.282 data_time: 0.009 memory: 6404 grad_norm: 5.4551 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5463 loss: 2.5463 2022/06/29 17:29:22 - mmengine - INFO - Epoch(train) [12][520/3757] lr: 1.000e-02 eta: 1 day, 1:36:57 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 5.0847 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3855 loss: 2.3855 2022/06/29 17:29:28 - mmengine - INFO - Epoch(train) [12][540/3757] lr: 1.000e-02 eta: 1 day, 1:36:50 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.5589 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1908 loss: 2.1908 2022/06/29 17:29:34 - mmengine - INFO - Epoch(train) [12][560/3757] lr: 1.000e-02 eta: 1 day, 1:36:49 time: 0.923 data_time: 0.007 memory: 6404 grad_norm: 5.1683 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2982 loss: 2.2982 2022/06/29 17:29:39 - mmengine - INFO - Epoch(train) [12][580/3757] lr: 1.000e-02 eta: 1 day, 1:36:41 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.5493 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0688 loss: 2.0688 2022/06/29 17:29:44 - mmengine - INFO - Epoch(train) [12][600/3757] lr: 1.000e-02 eta: 1 day, 1:36:34 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 6.0550 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0157 loss: 2.0157 2022/06/29 17:29:49 - mmengine - INFO - Epoch(train) [12][620/3757] lr: 1.000e-02 eta: 1 day, 1:36:25 time: 0.289 data_time: 0.007 memory: 6404 grad_norm: 6.1764 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1615 loss: 2.1615 2022/06/29 17:29:55 - mmengine - INFO - Epoch(train) [12][640/3757] lr: 1.000e-02 eta: 1 day, 1:36:18 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 5.0129 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2763 loss: 2.2763 2022/06/29 17:30:00 - mmengine - INFO - Epoch(train) [12][660/3757] lr: 1.000e-02 eta: 1 day, 1:36:14 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.3961 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6396 loss: 2.6396 2022/06/29 17:30:04 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 17:30:06 - mmengine - INFO - Epoch(train) [12][680/3757] lr: 1.000e-02 eta: 1 day, 1:36:10 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 5.3693 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0686 loss: 2.0686 2022/06/29 17:30:12 - mmengine - INFO - Epoch(train) [12][700/3757] lr: 1.000e-02 eta: 1 day, 1:36:06 time: 0.247 data_time: 0.005 memory: 6404 grad_norm: 5.8151 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0976 loss: 2.0976 2022/06/29 17:30:17 - mmengine - INFO - Epoch(train) [12][720/3757] lr: 1.000e-02 eta: 1 day, 1:35:59 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.2664 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4299 loss: 2.4299 2022/06/29 17:30:23 - mmengine - INFO - Epoch(train) [12][740/3757] lr: 1.000e-02 eta: 1 day, 1:35:53 time: 0.301 data_time: 0.013 memory: 6404 grad_norm: 5.6906 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0448 loss: 2.0448 2022/06/29 17:30:28 - mmengine - INFO - Epoch(train) [12][760/3757] lr: 1.000e-02 eta: 1 day, 1:35:47 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.6365 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5526 loss: 2.5526 2022/06/29 17:30:33 - mmengine - INFO - Epoch(train) [12][780/3757] lr: 1.000e-02 eta: 1 day, 1:35:38 time: 0.269 data_time: 0.014 memory: 6404 grad_norm: 5.8557 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0010 loss: 2.0010 2022/06/29 17:30:39 - mmengine - INFO - Epoch(train) [12][800/3757] lr: 1.000e-02 eta: 1 day, 1:35:32 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.9471 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0733 loss: 2.0733 2022/06/29 17:30:44 - mmengine - INFO - Epoch(train) [12][820/3757] lr: 1.000e-02 eta: 1 day, 1:35:23 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.5328 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1417 loss: 2.1417 2022/06/29 17:30:49 - mmengine - INFO - Epoch(train) [12][840/3757] lr: 1.000e-02 eta: 1 day, 1:35:18 time: 0.239 data_time: 0.018 memory: 6404 grad_norm: 6.8829 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1361 loss: 2.1361 2022/06/29 17:30:55 - mmengine - INFO - Epoch(train) [12][860/3757] lr: 1.000e-02 eta: 1 day, 1:35:12 time: 0.325 data_time: 0.007 memory: 6404 grad_norm: 5.1217 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9385 loss: 1.9385 2022/06/29 17:31:01 - mmengine - INFO - Epoch(train) [12][880/3757] lr: 1.000e-02 eta: 1 day, 1:35:13 time: 0.259 data_time: 0.005 memory: 6404 grad_norm: 5.2626 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1176 loss: 2.1176 2022/06/29 17:31:07 - mmengine - INFO - Epoch(train) [12][900/3757] lr: 1.000e-02 eta: 1 day, 1:35:06 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 4.5933 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2418 loss: 2.2418 2022/06/29 17:31:12 - mmengine - INFO - Epoch(train) [12][920/3757] lr: 1.000e-02 eta: 1 day, 1:35:00 time: 0.274 data_time: 0.011 memory: 6404 grad_norm: 5.9629 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0224 loss: 2.0224 2022/06/29 17:31:17 - mmengine - INFO - Epoch(train) [12][940/3757] lr: 1.000e-02 eta: 1 day, 1:34:53 time: 0.269 data_time: 0.006 memory: 6404 grad_norm: 5.4302 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4602 loss: 2.4602 2022/06/29 17:31:23 - mmengine - INFO - Epoch(train) [12][960/3757] lr: 1.000e-02 eta: 1 day, 1:34:50 time: 0.263 data_time: 0.011 memory: 6404 grad_norm: 5.4743 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1594 loss: 2.1594 2022/06/29 17:31:29 - mmengine - INFO - Epoch(train) [12][980/3757] lr: 1.000e-02 eta: 1 day, 1:34:43 time: 0.294 data_time: 0.008 memory: 6404 grad_norm: 6.0601 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5101 loss: 2.5101 2022/06/29 17:31:34 - mmengine - INFO - Epoch(train) [12][1000/3757] lr: 1.000e-02 eta: 1 day, 1:34:38 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 6.0110 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3851 loss: 2.3851 2022/06/29 17:31:39 - mmengine - INFO - Epoch(train) [12][1020/3757] lr: 1.000e-02 eta: 1 day, 1:34:30 time: 0.256 data_time: 0.016 memory: 6404 grad_norm: 5.5847 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7409 loss: 1.7409 2022/06/29 17:31:44 - mmengine - INFO - Epoch(train) [12][1040/3757] lr: 1.000e-02 eta: 1 day, 1:34:20 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 5.8493 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3251 loss: 2.3251 2022/06/29 17:31:49 - mmengine - INFO - Epoch(train) [12][1060/3757] lr: 1.000e-02 eta: 1 day, 1:34:12 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 5.4237 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3149 loss: 2.3149 2022/06/29 17:31:55 - mmengine - INFO - Epoch(train) [12][1080/3757] lr: 1.000e-02 eta: 1 day, 1:34:04 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.5685 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0924 loss: 2.0924 2022/06/29 17:32:00 - mmengine - INFO - Epoch(train) [12][1100/3757] lr: 1.000e-02 eta: 1 day, 1:33:55 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 5.4679 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5590 loss: 2.5590 2022/06/29 17:32:05 - mmengine - INFO - Epoch(train) [12][1120/3757] lr: 1.000e-02 eta: 1 day, 1:33:46 time: 0.239 data_time: 0.010 memory: 6404 grad_norm: 5.3357 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3740 loss: 2.3740 2022/06/29 17:32:11 - mmengine - INFO - Epoch(train) [12][1140/3757] lr: 1.000e-02 eta: 1 day, 1:33:41 time: 0.253 data_time: 0.015 memory: 6404 grad_norm: 5.9365 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0891 loss: 2.0891 2022/06/29 17:32:16 - mmengine - INFO - Epoch(train) [12][1160/3757] lr: 1.000e-02 eta: 1 day, 1:33:39 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 5.0179 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5098 loss: 2.5098 2022/06/29 17:32:22 - mmengine - INFO - Epoch(train) [12][1180/3757] lr: 1.000e-02 eta: 1 day, 1:33:33 time: 0.249 data_time: 0.017 memory: 6404 grad_norm: 5.2957 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0971 loss: 2.0971 2022/06/29 17:32:27 - mmengine - INFO - Epoch(train) [12][1200/3757] lr: 1.000e-02 eta: 1 day, 1:33:26 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.6280 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1859 loss: 2.1859 2022/06/29 17:32:33 - mmengine - INFO - Epoch(train) [12][1220/3757] lr: 1.000e-02 eta: 1 day, 1:33:20 time: 0.259 data_time: 0.006 memory: 6404 grad_norm: 5.4182 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2479 loss: 2.2479 2022/06/29 17:32:38 - mmengine - INFO - Epoch(train) [12][1240/3757] lr: 1.000e-02 eta: 1 day, 1:33:15 time: 0.251 data_time: 0.020 memory: 6404 grad_norm: 6.1080 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2317 loss: 2.2317 2022/06/29 17:32:44 - mmengine - INFO - Epoch(train) [12][1260/3757] lr: 1.000e-02 eta: 1 day, 1:33:11 time: 0.518 data_time: 0.024 memory: 6404 grad_norm: 5.2643 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5076 loss: 2.5076 2022/06/29 17:32:49 - mmengine - INFO - Epoch(train) [12][1280/3757] lr: 1.000e-02 eta: 1 day, 1:33:03 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.9798 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2028 loss: 2.2028 2022/06/29 17:32:55 - mmengine - INFO - Epoch(train) [12][1300/3757] lr: 1.000e-02 eta: 1 day, 1:32:59 time: 0.241 data_time: 0.028 memory: 6404 grad_norm: 5.2065 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3276 loss: 2.3276 2022/06/29 17:33:00 - mmengine - INFO - Epoch(train) [12][1320/3757] lr: 1.000e-02 eta: 1 day, 1:32:53 time: 0.754 data_time: 0.018 memory: 6404 grad_norm: 5.8307 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3280 loss: 2.3280 2022/06/29 17:33:06 - mmengine - INFO - Epoch(train) [12][1340/3757] lr: 1.000e-02 eta: 1 day, 1:32:45 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 4.9692 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9372 loss: 1.9372 2022/06/29 17:33:11 - mmengine - INFO - Epoch(train) [12][1360/3757] lr: 1.000e-02 eta: 1 day, 1:32:39 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 5.9389 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8748 loss: 1.8748 2022/06/29 17:33:17 - mmengine - INFO - Epoch(train) [12][1380/3757] lr: 1.000e-02 eta: 1 day, 1:32:36 time: 0.456 data_time: 0.006 memory: 6404 grad_norm: 5.7900 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2421 loss: 2.2421 2022/06/29 17:33:22 - mmengine - INFO - Epoch(train) [12][1400/3757] lr: 1.000e-02 eta: 1 day, 1:32:28 time: 0.252 data_time: 0.017 memory: 6404 grad_norm: 5.7762 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1649 loss: 2.1649 2022/06/29 17:33:28 - mmengine - INFO - Epoch(train) [12][1420/3757] lr: 1.000e-02 eta: 1 day, 1:32:21 time: 0.242 data_time: 0.013 memory: 6404 grad_norm: 5.1993 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3411 loss: 2.3411 2022/06/29 17:33:33 - mmengine - INFO - Epoch(train) [12][1440/3757] lr: 1.000e-02 eta: 1 day, 1:32:16 time: 0.604 data_time: 0.011 memory: 6404 grad_norm: 6.1173 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9445 loss: 1.9445 2022/06/29 17:33:38 - mmengine - INFO - Epoch(train) [12][1460/3757] lr: 1.000e-02 eta: 1 day, 1:32:08 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 5.3398 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7705 loss: 1.7705 2022/06/29 17:33:45 - mmengine - INFO - Epoch(train) [12][1480/3757] lr: 1.000e-02 eta: 1 day, 1:32:12 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 5.6142 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9908 loss: 1.9908 2022/06/29 17:33:50 - mmengine - INFO - Epoch(train) [12][1500/3757] lr: 1.000e-02 eta: 1 day, 1:32:03 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 5.7689 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4343 loss: 2.4343 2022/06/29 17:33:55 - mmengine - INFO - Epoch(train) [12][1520/3757] lr: 1.000e-02 eta: 1 day, 1:31:55 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 6.1629 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4575 loss: 2.4575 2022/06/29 17:34:01 - mmengine - INFO - Epoch(train) [12][1540/3757] lr: 1.000e-02 eta: 1 day, 1:31:48 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 5.7120 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0308 loss: 2.0308 2022/06/29 17:34:06 - mmengine - INFO - Epoch(train) [12][1560/3757] lr: 1.000e-02 eta: 1 day, 1:31:38 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 4.7432 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8035 loss: 1.8035 2022/06/29 17:34:11 - mmengine - INFO - Epoch(train) [12][1580/3757] lr: 1.000e-02 eta: 1 day, 1:31:31 time: 0.247 data_time: 0.013 memory: 6404 grad_norm: 6.2104 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4886 loss: 2.4886 2022/06/29 17:34:16 - mmengine - INFO - Epoch(train) [12][1600/3757] lr: 1.000e-02 eta: 1 day, 1:31:25 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 5.5014 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2482 loss: 2.2482 2022/06/29 17:34:22 - mmengine - INFO - Epoch(train) [12][1620/3757] lr: 1.000e-02 eta: 1 day, 1:31:20 time: 0.250 data_time: 0.015 memory: 6404 grad_norm: 5.8817 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0550 loss: 2.0550 2022/06/29 17:34:27 - mmengine - INFO - Epoch(train) [12][1640/3757] lr: 1.000e-02 eta: 1 day, 1:31:13 time: 0.248 data_time: 0.016 memory: 6404 grad_norm: 5.4828 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0977 loss: 2.0977 2022/06/29 17:34:33 - mmengine - INFO - Epoch(train) [12][1660/3757] lr: 1.000e-02 eta: 1 day, 1:31:08 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 5.1388 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6611 loss: 2.6611 2022/06/29 17:34:36 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 17:34:38 - mmengine - INFO - Epoch(train) [12][1680/3757] lr: 1.000e-02 eta: 1 day, 1:31:00 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 5.0702 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0591 loss: 2.0591 2022/06/29 17:34:44 - mmengine - INFO - Epoch(train) [12][1700/3757] lr: 1.000e-02 eta: 1 day, 1:30:54 time: 0.246 data_time: 0.013 memory: 6404 grad_norm: 5.3647 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8154 loss: 1.8154 2022/06/29 17:34:49 - mmengine - INFO - Epoch(train) [12][1720/3757] lr: 1.000e-02 eta: 1 day, 1:30:49 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 5.1726 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8734 loss: 1.8734 2022/06/29 17:34:55 - mmengine - INFO - Epoch(train) [12][1740/3757] lr: 1.000e-02 eta: 1 day, 1:30:43 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 6.2141 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5033 loss: 2.5033 2022/06/29 17:35:00 - mmengine - INFO - Epoch(train) [12][1760/3757] lr: 1.000e-02 eta: 1 day, 1:30:37 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.4510 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0135 loss: 2.0135 2022/06/29 17:35:06 - mmengine - INFO - Epoch(train) [12][1780/3757] lr: 1.000e-02 eta: 1 day, 1:30:36 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 5.9349 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9342 loss: 1.9342 2022/06/29 17:35:12 - mmengine - INFO - Epoch(train) [12][1800/3757] lr: 1.000e-02 eta: 1 day, 1:30:30 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 5.8263 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4076 loss: 2.4076 2022/06/29 17:35:17 - mmengine - INFO - Epoch(train) [12][1820/3757] lr: 1.000e-02 eta: 1 day, 1:30:24 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 5.1403 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0855 loss: 2.0855 2022/06/29 17:35:23 - mmengine - INFO - Epoch(train) [12][1840/3757] lr: 1.000e-02 eta: 1 day, 1:30:17 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 4.9526 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4269 loss: 2.4269 2022/06/29 17:35:28 - mmengine - INFO - Epoch(train) [12][1860/3757] lr: 1.000e-02 eta: 1 day, 1:30:11 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 5.4783 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7495 loss: 1.7495 2022/06/29 17:35:34 - mmengine - INFO - Epoch(train) [12][1880/3757] lr: 1.000e-02 eta: 1 day, 1:30:07 time: 0.352 data_time: 0.016 memory: 6404 grad_norm: 5.6553 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2633 loss: 2.2633 2022/06/29 17:35:39 - mmengine - INFO - Epoch(train) [12][1900/3757] lr: 1.000e-02 eta: 1 day, 1:29:59 time: 0.239 data_time: 0.012 memory: 6404 grad_norm: 5.5694 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3445 loss: 2.3445 2022/06/29 17:35:44 - mmengine - INFO - Epoch(train) [12][1920/3757] lr: 1.000e-02 eta: 1 day, 1:29:50 time: 0.272 data_time: 0.010 memory: 6404 grad_norm: 5.0651 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0779 loss: 2.0779 2022/06/29 17:35:49 - mmengine - INFO - Epoch(train) [12][1940/3757] lr: 1.000e-02 eta: 1 day, 1:29:42 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.3287 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0306 loss: 2.0306 2022/06/29 17:35:55 - mmengine - INFO - Epoch(train) [12][1960/3757] lr: 1.000e-02 eta: 1 day, 1:29:38 time: 0.262 data_time: 0.055 memory: 6404 grad_norm: 5.5141 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0151 loss: 2.0151 2022/06/29 17:36:00 - mmengine - INFO - Epoch(train) [12][1980/3757] lr: 1.000e-02 eta: 1 day, 1:29:30 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.4333 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1785 loss: 2.1785 2022/06/29 17:36:06 - mmengine - INFO - Epoch(train) [12][2000/3757] lr: 1.000e-02 eta: 1 day, 1:29:24 time: 0.242 data_time: 0.011 memory: 6404 grad_norm: 6.2810 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9935 loss: 1.9935 2022/06/29 17:36:11 - mmengine - INFO - Epoch(train) [12][2020/3757] lr: 1.000e-02 eta: 1 day, 1:29:17 time: 0.249 data_time: 0.014 memory: 6404 grad_norm: 6.2026 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1849 loss: 2.1849 2022/06/29 17:36:17 - mmengine - INFO - Epoch(train) [12][2040/3757] lr: 1.000e-02 eta: 1 day, 1:29:13 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.5764 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4725 loss: 2.4725 2022/06/29 17:36:22 - mmengine - INFO - Epoch(train) [12][2060/3757] lr: 1.000e-02 eta: 1 day, 1:29:08 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.4049 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3648 loss: 2.3648 2022/06/29 17:36:28 - mmengine - INFO - Epoch(train) [12][2080/3757] lr: 1.000e-02 eta: 1 day, 1:29:05 time: 0.577 data_time: 0.016 memory: 6404 grad_norm: 6.2271 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5763 loss: 2.5763 2022/06/29 17:36:33 - mmengine - INFO - Epoch(train) [12][2100/3757] lr: 1.000e-02 eta: 1 day, 1:28:56 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 5.2991 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4115 loss: 2.4115 2022/06/29 17:36:39 - mmengine - INFO - Epoch(train) [12][2120/3757] lr: 1.000e-02 eta: 1 day, 1:28:52 time: 0.240 data_time: 0.008 memory: 6404 grad_norm: 5.6247 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1144 loss: 2.1144 2022/06/29 17:36:44 - mmengine - INFO - Epoch(train) [12][2140/3757] lr: 1.000e-02 eta: 1 day, 1:28:45 time: 0.252 data_time: 0.017 memory: 6404 grad_norm: 5.9738 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6492 loss: 2.6492 2022/06/29 17:36:50 - mmengine - INFO - Epoch(train) [12][2160/3757] lr: 1.000e-02 eta: 1 day, 1:28:39 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.5536 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1637 loss: 2.1637 2022/06/29 17:36:55 - mmengine - INFO - Epoch(train) [12][2180/3757] lr: 1.000e-02 eta: 1 day, 1:28:35 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.1044 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2841 loss: 2.2841 2022/06/29 17:37:01 - mmengine - INFO - Epoch(train) [12][2200/3757] lr: 1.000e-02 eta: 1 day, 1:28:31 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.6908 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2091 loss: 2.2091 2022/06/29 17:37:07 - mmengine - INFO - Epoch(train) [12][2220/3757] lr: 1.000e-02 eta: 1 day, 1:28:25 time: 0.265 data_time: 0.006 memory: 6404 grad_norm: 5.5265 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4809 loss: 2.4809 2022/06/29 17:37:12 - mmengine - INFO - Epoch(train) [12][2240/3757] lr: 1.000e-02 eta: 1 day, 1:28:17 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.0519 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2279 loss: 2.2279 2022/06/29 17:37:18 - mmengine - INFO - Epoch(train) [12][2260/3757] lr: 1.000e-02 eta: 1 day, 1:28:15 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.6985 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5317 loss: 2.5317 2022/06/29 17:37:23 - mmengine - INFO - Epoch(train) [12][2280/3757] lr: 1.000e-02 eta: 1 day, 1:28:07 time: 0.241 data_time: 0.006 memory: 6404 grad_norm: 5.5550 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4939 loss: 2.4939 2022/06/29 17:37:29 - mmengine - INFO - Epoch(train) [12][2300/3757] lr: 1.000e-02 eta: 1 day, 1:28:05 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.1836 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2508 loss: 2.2508 2022/06/29 17:37:34 - mmengine - INFO - Epoch(train) [12][2320/3757] lr: 1.000e-02 eta: 1 day, 1:27:59 time: 0.425 data_time: 0.225 memory: 6404 grad_norm: 6.0569 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8511 loss: 1.8511 2022/06/29 17:37:40 - mmengine - INFO - Epoch(train) [12][2340/3757] lr: 1.000e-02 eta: 1 day, 1:27:51 time: 0.278 data_time: 0.008 memory: 6404 grad_norm: 5.6994 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8844 loss: 1.8844 2022/06/29 17:37:46 - mmengine - INFO - Epoch(train) [12][2360/3757] lr: 1.000e-02 eta: 1 day, 1:27:51 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.3532 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1932 loss: 2.1932 2022/06/29 17:37:51 - mmengine - INFO - Epoch(train) [12][2380/3757] lr: 1.000e-02 eta: 1 day, 1:27:42 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.6300 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0869 loss: 2.0869 2022/06/29 17:37:56 - mmengine - INFO - Epoch(train) [12][2400/3757] lr: 1.000e-02 eta: 1 day, 1:27:34 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 5.0307 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9471 loss: 1.9471 2022/06/29 17:38:02 - mmengine - INFO - Epoch(train) [12][2420/3757] lr: 1.000e-02 eta: 1 day, 1:27:28 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.2722 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4026 loss: 2.4026 2022/06/29 17:38:07 - mmengine - INFO - Epoch(train) [12][2440/3757] lr: 1.000e-02 eta: 1 day, 1:27:20 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 6.2955 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2715 loss: 2.2715 2022/06/29 17:38:12 - mmengine - INFO - Epoch(train) [12][2460/3757] lr: 1.000e-02 eta: 1 day, 1:27:12 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.1303 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3227 loss: 2.3227 2022/06/29 17:38:17 - mmengine - INFO - Epoch(train) [12][2480/3757] lr: 1.000e-02 eta: 1 day, 1:27:05 time: 0.239 data_time: 0.006 memory: 6404 grad_norm: 5.6484 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1901 loss: 2.1901 2022/06/29 17:38:23 - mmengine - INFO - Epoch(train) [12][2500/3757] lr: 1.000e-02 eta: 1 day, 1:26:59 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.7954 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3126 loss: 2.3126 2022/06/29 17:38:28 - mmengine - INFO - Epoch(train) [12][2520/3757] lr: 1.000e-02 eta: 1 day, 1:26:54 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.0073 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7794 loss: 1.7794 2022/06/29 17:38:34 - mmengine - INFO - Epoch(train) [12][2540/3757] lr: 1.000e-02 eta: 1 day, 1:26:48 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.3335 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5772 loss: 2.5772 2022/06/29 17:38:39 - mmengine - INFO - Epoch(train) [12][2560/3757] lr: 1.000e-02 eta: 1 day, 1:26:42 time: 0.239 data_time: 0.008 memory: 6404 grad_norm: 5.9107 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2318 loss: 2.2318 2022/06/29 17:38:45 - mmengine - INFO - Epoch(train) [12][2580/3757] lr: 1.000e-02 eta: 1 day, 1:26:38 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 4.7523 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3887 loss: 2.3887 2022/06/29 17:38:50 - mmengine - INFO - Epoch(train) [12][2600/3757] lr: 1.000e-02 eta: 1 day, 1:26:31 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 5.5177 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6351 loss: 2.6351 2022/06/29 17:38:56 - mmengine - INFO - Epoch(train) [12][2620/3757] lr: 1.000e-02 eta: 1 day, 1:26:26 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 5.4253 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1128 loss: 2.1128 2022/06/29 17:39:01 - mmengine - INFO - Epoch(train) [12][2640/3757] lr: 1.000e-02 eta: 1 day, 1:26:20 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 5.2863 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3297 loss: 2.3297 2022/06/29 17:39:07 - mmengine - INFO - Epoch(train) [12][2660/3757] lr: 1.000e-02 eta: 1 day, 1:26:18 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 5.8076 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4028 loss: 2.4028 2022/06/29 17:39:11 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 17:39:13 - mmengine - INFO - Epoch(train) [12][2680/3757] lr: 1.000e-02 eta: 1 day, 1:26:12 time: 0.259 data_time: 0.006 memory: 6404 grad_norm: 5.6052 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3987 loss: 2.3987 2022/06/29 17:39:18 - mmengine - INFO - Epoch(train) [12][2700/3757] lr: 1.000e-02 eta: 1 day, 1:26:05 time: 0.273 data_time: 0.007 memory: 6404 grad_norm: 5.4209 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4339 loss: 2.4339 2022/06/29 17:39:23 - mmengine - INFO - Epoch(train) [12][2720/3757] lr: 1.000e-02 eta: 1 day, 1:25:56 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 6.0291 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1688 loss: 2.1688 2022/06/29 17:39:28 - mmengine - INFO - Epoch(train) [12][2740/3757] lr: 1.000e-02 eta: 1 day, 1:25:47 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.3699 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5588 loss: 2.5588 2022/06/29 17:39:34 - mmengine - INFO - Epoch(train) [12][2760/3757] lr: 1.000e-02 eta: 1 day, 1:25:46 time: 0.270 data_time: 0.008 memory: 6404 grad_norm: 5.5707 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3142 loss: 2.3142 2022/06/29 17:39:40 - mmengine - INFO - Epoch(train) [12][2780/3757] lr: 1.000e-02 eta: 1 day, 1:25:39 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.3810 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0302 loss: 2.0302 2022/06/29 17:39:45 - mmengine - INFO - Epoch(train) [12][2800/3757] lr: 1.000e-02 eta: 1 day, 1:25:31 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 4.7520 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1320 loss: 2.1320 2022/06/29 17:39:50 - mmengine - INFO - Epoch(train) [12][2820/3757] lr: 1.000e-02 eta: 1 day, 1:25:24 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 6.3978 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3149 loss: 2.3149 2022/06/29 17:39:56 - mmengine - INFO - Epoch(train) [12][2840/3757] lr: 1.000e-02 eta: 1 day, 1:25:20 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.0530 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6534 loss: 2.6534 2022/06/29 17:40:01 - mmengine - INFO - Epoch(train) [12][2860/3757] lr: 1.000e-02 eta: 1 day, 1:25:11 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.0340 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.1354 loss: 2.1354 2022/06/29 17:40:07 - mmengine - INFO - Epoch(train) [12][2880/3757] lr: 1.000e-02 eta: 1 day, 1:25:05 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.3229 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3074 loss: 2.3074 2022/06/29 17:40:13 - mmengine - INFO - Epoch(train) [12][2900/3757] lr: 1.000e-02 eta: 1 day, 1:25:04 time: 0.279 data_time: 0.008 memory: 6404 grad_norm: 5.1828 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1890 loss: 2.1890 2022/06/29 17:40:18 - mmengine - INFO - Epoch(train) [12][2920/3757] lr: 1.000e-02 eta: 1 day, 1:24:57 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 4.8846 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1177 loss: 2.1177 2022/06/29 17:40:23 - mmengine - INFO - Epoch(train) [12][2940/3757] lr: 1.000e-02 eta: 1 day, 1:24:48 time: 0.263 data_time: 0.006 memory: 6404 grad_norm: 4.8910 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3487 loss: 2.3487 2022/06/29 17:40:29 - mmengine - INFO - Epoch(train) [12][2960/3757] lr: 1.000e-02 eta: 1 day, 1:24:41 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 4.5957 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3191 loss: 2.3191 2022/06/29 17:40:34 - mmengine - INFO - Epoch(train) [12][2980/3757] lr: 1.000e-02 eta: 1 day, 1:24:34 time: 0.246 data_time: 0.018 memory: 6404 grad_norm: 6.3994 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4181 loss: 2.4181 2022/06/29 17:40:40 - mmengine - INFO - Epoch(train) [12][3000/3757] lr: 1.000e-02 eta: 1 day, 1:24:33 time: 0.243 data_time: 0.009 memory: 6404 grad_norm: 5.7076 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.3142 loss: 2.3142 2022/06/29 17:40:45 - mmengine - INFO - Epoch(train) [12][3020/3757] lr: 1.000e-02 eta: 1 day, 1:24:26 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.1703 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8162 loss: 1.8162 2022/06/29 17:40:50 - mmengine - INFO - Epoch(train) [12][3040/3757] lr: 1.000e-02 eta: 1 day, 1:24:19 time: 0.248 data_time: 0.016 memory: 6404 grad_norm: 5.7558 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2109 loss: 2.2109 2022/06/29 17:40:56 - mmengine - INFO - Epoch(train) [12][3060/3757] lr: 1.000e-02 eta: 1 day, 1:24:10 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 4.7754 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1115 loss: 2.1115 2022/06/29 17:41:01 - mmengine - INFO - Epoch(train) [12][3080/3757] lr: 1.000e-02 eta: 1 day, 1:24:02 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 5.5225 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2179 loss: 2.2179 2022/06/29 17:41:06 - mmengine - INFO - Epoch(train) [12][3100/3757] lr: 1.000e-02 eta: 1 day, 1:23:55 time: 0.274 data_time: 0.014 memory: 6404 grad_norm: 4.7530 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1213 loss: 2.1213 2022/06/29 17:41:12 - mmengine - INFO - Epoch(train) [12][3120/3757] lr: 1.000e-02 eta: 1 day, 1:23:49 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 6.0111 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2942 loss: 2.2942 2022/06/29 17:41:18 - mmengine - INFO - Epoch(train) [12][3140/3757] lr: 1.000e-02 eta: 1 day, 1:23:48 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 5.9843 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3946 loss: 2.3946 2022/06/29 17:41:23 - mmengine - INFO - Epoch(train) [12][3160/3757] lr: 1.000e-02 eta: 1 day, 1:23:43 time: 0.677 data_time: 0.007 memory: 6404 grad_norm: 5.8745 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3648 loss: 2.3648 2022/06/29 17:41:29 - mmengine - INFO - Epoch(train) [12][3180/3757] lr: 1.000e-02 eta: 1 day, 1:23:36 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 4.7324 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3043 loss: 2.3043 2022/06/29 17:41:35 - mmengine - INFO - Epoch(train) [12][3200/3757] lr: 1.000e-02 eta: 1 day, 1:23:37 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 5.7851 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4702 loss: 2.4702 2022/06/29 17:41:40 - mmengine - INFO - Epoch(train) [12][3220/3757] lr: 1.000e-02 eta: 1 day, 1:23:29 time: 0.274 data_time: 0.009 memory: 6404 grad_norm: 5.5757 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6078 loss: 2.6078 2022/06/29 17:41:46 - mmengine - INFO - Epoch(train) [12][3240/3757] lr: 1.000e-02 eta: 1 day, 1:23:20 time: 0.270 data_time: 0.015 memory: 6404 grad_norm: 5.9649 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9616 loss: 1.9616 2022/06/29 17:41:51 - mmengine - INFO - Epoch(train) [12][3260/3757] lr: 1.000e-02 eta: 1 day, 1:23:14 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 5.6150 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4029 loss: 2.4029 2022/06/29 17:41:56 - mmengine - INFO - Epoch(train) [12][3280/3757] lr: 1.000e-02 eta: 1 day, 1:23:05 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.0985 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7085 loss: 1.7085 2022/06/29 17:42:01 - mmengine - INFO - Epoch(train) [12][3300/3757] lr: 1.000e-02 eta: 1 day, 1:22:58 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 5.8036 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2309 loss: 2.2309 2022/06/29 17:42:06 - mmengine - INFO - Epoch(train) [12][3320/3757] lr: 1.000e-02 eta: 1 day, 1:22:49 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.3636 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4671 loss: 2.4671 2022/06/29 17:42:11 - mmengine - INFO - Epoch(train) [12][3340/3757] lr: 1.000e-02 eta: 1 day, 1:22:41 time: 0.417 data_time: 0.010 memory: 6404 grad_norm: 6.0651 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.1927 loss: 2.1927 2022/06/29 17:42:17 - mmengine - INFO - Epoch(train) [12][3360/3757] lr: 1.000e-02 eta: 1 day, 1:22:37 time: 0.274 data_time: 0.007 memory: 6404 grad_norm: 5.4936 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0082 loss: 2.0082 2022/06/29 17:42:23 - mmengine - INFO - Epoch(train) [12][3380/3757] lr: 1.000e-02 eta: 1 day, 1:22:31 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 4.7424 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2593 loss: 2.2593 2022/06/29 17:42:28 - mmengine - INFO - Epoch(train) [12][3400/3757] lr: 1.000e-02 eta: 1 day, 1:22:27 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.8749 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5758 loss: 2.5758 2022/06/29 17:42:34 - mmengine - INFO - Epoch(train) [12][3420/3757] lr: 1.000e-02 eta: 1 day, 1:22:21 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 6.5296 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0594 loss: 2.0594 2022/06/29 17:42:39 - mmengine - INFO - Epoch(train) [12][3440/3757] lr: 1.000e-02 eta: 1 day, 1:22:15 time: 0.243 data_time: 0.012 memory: 6404 grad_norm: 6.2513 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0846 loss: 2.0846 2022/06/29 17:42:44 - mmengine - INFO - Epoch(train) [12][3460/3757] lr: 1.000e-02 eta: 1 day, 1:22:08 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 5.0242 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7256 loss: 2.7256 2022/06/29 17:42:50 - mmengine - INFO - Epoch(train) [12][3480/3757] lr: 1.000e-02 eta: 1 day, 1:22:03 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 5.6260 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3652 loss: 2.3652 2022/06/29 17:42:56 - mmengine - INFO - Epoch(train) [12][3500/3757] lr: 1.000e-02 eta: 1 day, 1:21:57 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 5.7653 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1445 loss: 2.1445 2022/06/29 17:43:01 - mmengine - INFO - Epoch(train) [12][3520/3757] lr: 1.000e-02 eta: 1 day, 1:21:48 time: 0.238 data_time: 0.006 memory: 6404 grad_norm: 5.8044 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2946 loss: 2.2946 2022/06/29 17:43:06 - mmengine - INFO - Epoch(train) [12][3540/3757] lr: 1.000e-02 eta: 1 day, 1:21:42 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.6204 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3880 loss: 2.3880 2022/06/29 17:43:12 - mmengine - INFO - Epoch(train) [12][3560/3757] lr: 1.000e-02 eta: 1 day, 1:21:37 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.6403 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3703 loss: 2.3703 2022/06/29 17:43:18 - mmengine - INFO - Epoch(train) [12][3580/3757] lr: 1.000e-02 eta: 1 day, 1:21:36 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.1799 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0333 loss: 2.0333 2022/06/29 17:43:23 - mmengine - INFO - Epoch(train) [12][3600/3757] lr: 1.000e-02 eta: 1 day, 1:21:31 time: 0.270 data_time: 0.006 memory: 6404 grad_norm: 5.1319 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9976 loss: 1.9976 2022/06/29 17:43:29 - mmengine - INFO - Epoch(train) [12][3620/3757] lr: 1.000e-02 eta: 1 day, 1:21:23 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.1877 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4471 loss: 2.4471 2022/06/29 17:43:34 - mmengine - INFO - Epoch(train) [12][3640/3757] lr: 1.000e-02 eta: 1 day, 1:21:17 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 6.0516 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6958 loss: 1.6958 2022/06/29 17:43:40 - mmengine - INFO - Epoch(train) [12][3660/3757] lr: 1.000e-02 eta: 1 day, 1:21:16 time: 0.239 data_time: 0.006 memory: 6404 grad_norm: 5.2350 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.3321 loss: 2.3321 2022/06/29 17:43:44 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 17:43:46 - mmengine - INFO - Epoch(train) [12][3680/3757] lr: 1.000e-02 eta: 1 day, 1:21:09 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 5.7062 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4602 loss: 2.4602 2022/06/29 17:43:51 - mmengine - INFO - Epoch(train) [12][3700/3757] lr: 1.000e-02 eta: 1 day, 1:21:00 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.1633 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0915 loss: 2.0915 2022/06/29 17:43:57 - mmengine - INFO - Epoch(train) [12][3720/3757] lr: 1.000e-02 eta: 1 day, 1:20:58 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 5.5833 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1080 loss: 2.1080 2022/06/29 17:44:02 - mmengine - INFO - Epoch(train) [12][3740/3757] lr: 1.000e-02 eta: 1 day, 1:20:50 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 4.5933 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2072 loss: 2.2072 2022/06/29 17:44:06 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 17:44:13 - mmengine - INFO - Epoch(val) [12][20/310] eta: 0:01:32 time: 0.111 data_time: 0.008 memory: 6404 2022/06/29 17:44:19 - mmengine - INFO - Epoch(val) [12][40/310] eta: 0:01:17 time: 0.092 data_time: 0.008 memory: 1479 2022/06/29 17:44:23 - mmengine - INFO - Epoch(val) [12][60/310] eta: 0:00:27 time: 0.087 data_time: 0.008 memory: 1479 2022/06/29 17:44:29 - mmengine - INFO - Epoch(val) [12][80/310] eta: 0:01:18 time: 0.090 data_time: 0.006 memory: 1479 2022/06/29 17:44:35 - mmengine - INFO - Epoch(val) [12][100/310] eta: 0:01:01 time: 0.485 data_time: 0.373 memory: 1479 2022/06/29 17:44:39 - mmengine - INFO - Epoch(val) [12][120/310] eta: 0:00:32 time: 0.109 data_time: 0.017 memory: 1479 2022/06/29 17:44:45 - mmengine - INFO - Epoch(val) [12][140/310] eta: 0:00:53 time: 0.082 data_time: 0.007 memory: 1479 2022/06/29 17:44:51 - mmengine - INFO - Epoch(val) [12][160/310] eta: 0:00:47 time: 1.343 data_time: 1.263 memory: 1479 2022/06/29 17:44:55 - mmengine - INFO - Epoch(val) [12][180/310] eta: 0:00:36 time: 0.083 data_time: 0.009 memory: 1479 2022/06/29 17:45:01 - mmengine - INFO - Epoch(val) [12][200/310] eta: 0:00:32 time: 0.108 data_time: 0.018 memory: 1479 2022/06/29 17:45:07 - mmengine - INFO - Epoch(val) [12][220/310] eta: 0:00:26 time: 0.269 data_time: 0.178 memory: 1479 2022/06/29 17:45:11 - mmengine - INFO - Epoch(val) [12][240/310] eta: 0:00:20 time: 0.083 data_time: 0.010 memory: 1479 2022/06/29 17:45:17 - mmengine - INFO - Epoch(val) [12][260/310] eta: 0:00:15 time: 0.082 data_time: 0.006 memory: 1479 2022/06/29 17:45:23 - mmengine - INFO - Epoch(val) [12][280/310] eta: 0:00:08 time: 0.160 data_time: 0.069 memory: 1479 2022/06/29 17:45:26 - mmengine - INFO - Epoch(val) [12][300/310] eta: 0:00:02 time: 0.081 data_time: 0.005 memory: 1479 2022/06/29 17:45:29 - mmengine - INFO - Epoch(val) [12][310/310] acc/top1: 0.5317 acc/top5: 0.7873 acc/mean1: 0.5314 2022/06/29 17:45:38 - mmengine - INFO - Epoch(train) [13][20/3757] lr: 1.000e-02 eta: 1 day, 1:20:44 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 5.0720 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9442 loss: 1.9442 2022/06/29 17:45:44 - mmengine - INFO - Epoch(train) [13][40/3757] lr: 1.000e-02 eta: 1 day, 1:20:39 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.7042 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5616 loss: 2.5616 2022/06/29 17:45:49 - mmengine - INFO - Epoch(train) [13][60/3757] lr: 1.000e-02 eta: 1 day, 1:20:31 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.7244 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9049 loss: 1.9049 2022/06/29 17:45:55 - mmengine - INFO - Epoch(train) [13][80/3757] lr: 1.000e-02 eta: 1 day, 1:20:28 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.7734 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0128 loss: 2.0128 2022/06/29 17:46:01 - mmengine - INFO - Epoch(train) [13][100/3757] lr: 1.000e-02 eta: 1 day, 1:20:25 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.6377 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1985 loss: 2.1985 2022/06/29 17:46:06 - mmengine - INFO - Epoch(train) [13][120/3757] lr: 1.000e-02 eta: 1 day, 1:20:17 time: 0.243 data_time: 0.009 memory: 6404 grad_norm: 6.0282 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4039 loss: 2.4039 2022/06/29 17:46:12 - mmengine - INFO - Epoch(train) [13][140/3757] lr: 1.000e-02 eta: 1 day, 1:20:13 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.9400 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4138 loss: 2.4138 2022/06/29 17:46:17 - mmengine - INFO - Epoch(train) [13][160/3757] lr: 1.000e-02 eta: 1 day, 1:20:08 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.4023 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9462 loss: 1.9462 2022/06/29 17:46:22 - mmengine - INFO - Epoch(train) [13][180/3757] lr: 1.000e-02 eta: 1 day, 1:20:00 time: 0.236 data_time: 0.012 memory: 6404 grad_norm: 5.3033 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9839 loss: 1.9839 2022/06/29 17:46:29 - mmengine - INFO - Epoch(train) [13][200/3757] lr: 1.000e-02 eta: 1 day, 1:20:03 time: 0.238 data_time: 0.010 memory: 6404 grad_norm: 4.9410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3592 loss: 2.3592 2022/06/29 17:46:34 - mmengine - INFO - Epoch(train) [13][220/3757] lr: 1.000e-02 eta: 1 day, 1:19:54 time: 0.240 data_time: 0.007 memory: 6404 grad_norm: 5.9078 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9220 loss: 1.9220 2022/06/29 17:46:40 - mmengine - INFO - Epoch(train) [13][240/3757] lr: 1.000e-02 eta: 1 day, 1:19:46 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 5.5138 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2781 loss: 2.2781 2022/06/29 17:46:45 - mmengine - INFO - Epoch(train) [13][260/3757] lr: 1.000e-02 eta: 1 day, 1:19:39 time: 0.273 data_time: 0.013 memory: 6404 grad_norm: 5.2475 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0363 loss: 2.0363 2022/06/29 17:46:51 - mmengine - INFO - Epoch(train) [13][280/3757] lr: 1.000e-02 eta: 1 day, 1:19:37 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.1229 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3110 loss: 2.3110 2022/06/29 17:46:56 - mmengine - INFO - Epoch(train) [13][300/3757] lr: 1.000e-02 eta: 1 day, 1:19:30 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 5.1550 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2939 loss: 2.2939 2022/06/29 17:47:01 - mmengine - INFO - Epoch(train) [13][320/3757] lr: 1.000e-02 eta: 1 day, 1:19:21 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.8758 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0849 loss: 2.0849 2022/06/29 17:47:07 - mmengine - INFO - Epoch(train) [13][340/3757] lr: 1.000e-02 eta: 1 day, 1:19:17 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 5.9151 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0029 loss: 2.0029 2022/06/29 17:47:12 - mmengine - INFO - Epoch(train) [13][360/3757] lr: 1.000e-02 eta: 1 day, 1:19:08 time: 0.246 data_time: 0.017 memory: 6404 grad_norm: 5.1167 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4647 loss: 2.4647 2022/06/29 17:47:18 - mmengine - INFO - Epoch(train) [13][380/3757] lr: 1.000e-02 eta: 1 day, 1:19:04 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.3105 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9237 loss: 1.9237 2022/06/29 17:47:23 - mmengine - INFO - Epoch(train) [13][400/3757] lr: 1.000e-02 eta: 1 day, 1:19:01 time: 0.544 data_time: 0.008 memory: 6404 grad_norm: 6.0730 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9753 loss: 1.9753 2022/06/29 17:47:29 - mmengine - INFO - Epoch(train) [13][420/3757] lr: 1.000e-02 eta: 1 day, 1:18:52 time: 0.271 data_time: 0.082 memory: 6404 grad_norm: 5.8659 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2327 loss: 2.2327 2022/06/29 17:47:34 - mmengine - INFO - Epoch(train) [13][440/3757] lr: 1.000e-02 eta: 1 day, 1:18:48 time: 0.259 data_time: 0.005 memory: 6404 grad_norm: 5.7243 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3175 loss: 2.3175 2022/06/29 17:47:40 - mmengine - INFO - Epoch(train) [13][460/3757] lr: 1.000e-02 eta: 1 day, 1:18:42 time: 0.393 data_time: 0.009 memory: 6404 grad_norm: 5.4150 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3455 loss: 2.3455 2022/06/29 17:47:45 - mmengine - INFO - Epoch(train) [13][480/3757] lr: 1.000e-02 eta: 1 day, 1:18:37 time: 0.244 data_time: 0.016 memory: 6404 grad_norm: 5.6523 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4728 loss: 2.4728 2022/06/29 17:47:52 - mmengine - INFO - Epoch(train) [13][500/3757] lr: 1.000e-02 eta: 1 day, 1:18:37 time: 0.240 data_time: 0.007 memory: 6404 grad_norm: 5.1251 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7239 loss: 1.7239 2022/06/29 17:47:57 - mmengine - INFO - Epoch(train) [13][520/3757] lr: 1.000e-02 eta: 1 day, 1:18:30 time: 0.303 data_time: 0.010 memory: 6404 grad_norm: 6.5231 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1204 loss: 2.1204 2022/06/29 17:48:02 - mmengine - INFO - Epoch(train) [13][540/3757] lr: 1.000e-02 eta: 1 day, 1:18:21 time: 0.245 data_time: 0.012 memory: 6404 grad_norm: 5.5915 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0015 loss: 2.0015 2022/06/29 17:48:07 - mmengine - INFO - Epoch(train) [13][560/3757] lr: 1.000e-02 eta: 1 day, 1:18:12 time: 0.253 data_time: 0.016 memory: 6404 grad_norm: 5.1914 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8375 loss: 1.8375 2022/06/29 17:48:12 - mmengine - INFO - Epoch(train) [13][580/3757] lr: 1.000e-02 eta: 1 day, 1:18:03 time: 0.244 data_time: 0.012 memory: 6404 grad_norm: 5.8056 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7362 loss: 2.7362 2022/06/29 17:48:17 - mmengine - INFO - Epoch(train) [13][600/3757] lr: 1.000e-02 eta: 1 day, 1:17:55 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.6308 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0214 loss: 2.0214 2022/06/29 17:48:22 - mmengine - INFO - Epoch(train) [13][620/3757] lr: 1.000e-02 eta: 1 day, 1:17:46 time: 0.246 data_time: 0.014 memory: 6404 grad_norm: 5.3887 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1006 loss: 2.1006 2022/06/29 17:48:28 - mmengine - INFO - Epoch(train) [13][640/3757] lr: 1.000e-02 eta: 1 day, 1:17:39 time: 0.246 data_time: 0.030 memory: 6404 grad_norm: 5.1679 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4913 loss: 2.4913 2022/06/29 17:48:34 - mmengine - INFO - Epoch(train) [13][660/3757] lr: 1.000e-02 eta: 1 day, 1:17:36 time: 0.637 data_time: 0.007 memory: 6404 grad_norm: 5.5476 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0295 loss: 2.0295 2022/06/29 17:48:39 - mmengine - INFO - Epoch(train) [13][680/3757] lr: 1.000e-02 eta: 1 day, 1:17:29 time: 0.241 data_time: 0.016 memory: 6404 grad_norm: 6.1500 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8504 loss: 1.8504 2022/06/29 17:48:44 - mmengine - INFO - Epoch(train) [13][700/3757] lr: 1.000e-02 eta: 1 day, 1:17:24 time: 0.245 data_time: 0.015 memory: 6404 grad_norm: 4.9304 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9980 loss: 1.9980 2022/06/29 17:48:50 - mmengine - INFO - Epoch(train) [13][720/3757] lr: 1.000e-02 eta: 1 day, 1:17:22 time: 0.409 data_time: 0.007 memory: 6404 grad_norm: 5.8893 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9299 loss: 1.9299 2022/06/29 17:48:56 - mmengine - INFO - Epoch(train) [13][740/3757] lr: 1.000e-02 eta: 1 day, 1:17:15 time: 0.253 data_time: 0.028 memory: 6404 grad_norm: 5.8948 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0759 loss: 2.0759 2022/06/29 17:49:01 - mmengine - INFO - Epoch(train) [13][760/3757] lr: 1.000e-02 eta: 1 day, 1:17:10 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.6726 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2000 loss: 2.2000 2022/06/29 17:49:07 - mmengine - INFO - Epoch(train) [13][780/3757] lr: 1.000e-02 eta: 1 day, 1:17:06 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.2699 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4247 loss: 2.4247 2022/06/29 17:49:12 - mmengine - INFO - Epoch(train) [13][800/3757] lr: 1.000e-02 eta: 1 day, 1:16:58 time: 0.248 data_time: 0.031 memory: 6404 grad_norm: 5.7465 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9984 loss: 1.9984 2022/06/29 17:49:18 - mmengine - INFO - Epoch(train) [13][820/3757] lr: 1.000e-02 eta: 1 day, 1:16:53 time: 0.239 data_time: 0.006 memory: 6404 grad_norm: 5.2953 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3139 loss: 2.3139 2022/06/29 17:49:23 - mmengine - INFO - Epoch(train) [13][840/3757] lr: 1.000e-02 eta: 1 day, 1:16:47 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.0548 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8745 loss: 1.8745 2022/06/29 17:49:29 - mmengine - INFO - Epoch(train) [13][860/3757] lr: 1.000e-02 eta: 1 day, 1:16:42 time: 0.487 data_time: 0.301 memory: 6404 grad_norm: 5.2286 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8177 loss: 1.8177 2022/06/29 17:49:34 - mmengine - INFO - Epoch(train) [13][880/3757] lr: 1.000e-02 eta: 1 day, 1:16:37 time: 0.245 data_time: 0.005 memory: 6404 grad_norm: 5.2493 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1005 loss: 2.1005 2022/06/29 17:49:41 - mmengine - INFO - Epoch(train) [13][900/3757] lr: 1.000e-02 eta: 1 day, 1:16:42 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.1556 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9546 loss: 1.9546 2022/06/29 17:49:46 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 17:49:47 - mmengine - INFO - Epoch(train) [13][920/3757] lr: 1.000e-02 eta: 1 day, 1:16:34 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 5.4004 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9958 loss: 1.9958 2022/06/29 17:49:52 - mmengine - INFO - Epoch(train) [13][940/3757] lr: 1.000e-02 eta: 1 day, 1:16:25 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.6346 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1736 loss: 2.1736 2022/06/29 17:49:57 - mmengine - INFO - Epoch(train) [13][960/3757] lr: 1.000e-02 eta: 1 day, 1:16:16 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.3504 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1466 loss: 2.1466 2022/06/29 17:50:02 - mmengine - INFO - Epoch(train) [13][980/3757] lr: 1.000e-02 eta: 1 day, 1:16:07 time: 0.238 data_time: 0.013 memory: 6404 grad_norm: 5.8865 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9800 loss: 1.9800 2022/06/29 17:50:08 - mmengine - INFO - Epoch(train) [13][1000/3757] lr: 1.000e-02 eta: 1 day, 1:16:05 time: 0.252 data_time: 0.019 memory: 6404 grad_norm: 5.0530 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3603 loss: 2.3603 2022/06/29 17:50:13 - mmengine - INFO - Epoch(train) [13][1020/3757] lr: 1.000e-02 eta: 1 day, 1:16:00 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 5.8305 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8295 loss: 1.8295 2022/06/29 17:50:19 - mmengine - INFO - Epoch(train) [13][1040/3757] lr: 1.000e-02 eta: 1 day, 1:15:54 time: 0.278 data_time: 0.007 memory: 6404 grad_norm: 6.4368 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1637 loss: 2.1637 2022/06/29 17:50:24 - mmengine - INFO - Epoch(train) [13][1060/3757] lr: 1.000e-02 eta: 1 day, 1:15:49 time: 0.254 data_time: 0.016 memory: 6404 grad_norm: 5.5983 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4093 loss: 2.4093 2022/06/29 17:50:30 - mmengine - INFO - Epoch(train) [13][1080/3757] lr: 1.000e-02 eta: 1 day, 1:15:44 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.8869 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3124 loss: 2.3124 2022/06/29 17:50:36 - mmengine - INFO - Epoch(train) [13][1100/3757] lr: 1.000e-02 eta: 1 day, 1:15:38 time: 0.255 data_time: 0.031 memory: 6404 grad_norm: 5.8783 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4243 loss: 2.4243 2022/06/29 17:50:41 - mmengine - INFO - Epoch(train) [13][1120/3757] lr: 1.000e-02 eta: 1 day, 1:15:32 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.9504 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0251 loss: 2.0251 2022/06/29 17:50:47 - mmengine - INFO - Epoch(train) [13][1140/3757] lr: 1.000e-02 eta: 1 day, 1:15:29 time: 0.243 data_time: 0.012 memory: 6404 grad_norm: 5.5052 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2218 loss: 2.2218 2022/06/29 17:50:52 - mmengine - INFO - Epoch(train) [13][1160/3757] lr: 1.000e-02 eta: 1 day, 1:15:22 time: 0.247 data_time: 0.015 memory: 6404 grad_norm: 5.2955 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9295 loss: 1.9295 2022/06/29 17:50:57 - mmengine - INFO - Epoch(train) [13][1180/3757] lr: 1.000e-02 eta: 1 day, 1:15:15 time: 0.241 data_time: 0.014 memory: 6404 grad_norm: 5.9080 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4482 loss: 2.4482 2022/06/29 17:51:03 - mmengine - INFO - Epoch(train) [13][1200/3757] lr: 1.000e-02 eta: 1 day, 1:15:12 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.2203 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0976 loss: 2.0976 2022/06/29 17:51:09 - mmengine - INFO - Epoch(train) [13][1220/3757] lr: 1.000e-02 eta: 1 day, 1:15:06 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.3324 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0693 loss: 2.0693 2022/06/29 17:51:15 - mmengine - INFO - Epoch(train) [13][1240/3757] lr: 1.000e-02 eta: 1 day, 1:15:04 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 5.4060 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3283 loss: 2.3283 2022/06/29 17:51:20 - mmengine - INFO - Epoch(train) [13][1260/3757] lr: 1.000e-02 eta: 1 day, 1:14:56 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 5.2357 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9016 loss: 1.9016 2022/06/29 17:51:25 - mmengine - INFO - Epoch(train) [13][1280/3757] lr: 1.000e-02 eta: 1 day, 1:14:49 time: 0.258 data_time: 0.017 memory: 6404 grad_norm: 5.1249 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1243 loss: 2.1243 2022/06/29 17:51:31 - mmengine - INFO - Epoch(train) [13][1300/3757] lr: 1.000e-02 eta: 1 day, 1:14:45 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.1536 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8238 loss: 1.8238 2022/06/29 17:51:36 - mmengine - INFO - Epoch(train) [13][1320/3757] lr: 1.000e-02 eta: 1 day, 1:14:37 time: 0.245 data_time: 0.012 memory: 6404 grad_norm: 6.0785 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5399 loss: 2.5399 2022/06/29 17:51:41 - mmengine - INFO - Epoch(train) [13][1340/3757] lr: 1.000e-02 eta: 1 day, 1:14:29 time: 0.240 data_time: 0.013 memory: 6404 grad_norm: 5.6184 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2952 loss: 2.2952 2022/06/29 17:51:47 - mmengine - INFO - Epoch(train) [13][1360/3757] lr: 1.000e-02 eta: 1 day, 1:14:25 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 5.4083 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0253 loss: 2.0253 2022/06/29 17:51:53 - mmengine - INFO - Epoch(train) [13][1380/3757] lr: 1.000e-02 eta: 1 day, 1:14:21 time: 0.259 data_time: 0.017 memory: 6404 grad_norm: 5.7661 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6587 loss: 2.6587 2022/06/29 17:51:58 - mmengine - INFO - Epoch(train) [13][1400/3757] lr: 1.000e-02 eta: 1 day, 1:14:15 time: 0.264 data_time: 0.015 memory: 6404 grad_norm: 5.5670 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4420 loss: 2.4420 2022/06/29 17:52:04 - mmengine - INFO - Epoch(train) [13][1420/3757] lr: 1.000e-02 eta: 1 day, 1:14:07 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.4485 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8953 loss: 1.8953 2022/06/29 17:52:09 - mmengine - INFO - Epoch(train) [13][1440/3757] lr: 1.000e-02 eta: 1 day, 1:14:03 time: 0.267 data_time: 0.014 memory: 6404 grad_norm: 5.5519 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7096 loss: 2.7096 2022/06/29 17:52:15 - mmengine - INFO - Epoch(train) [13][1460/3757] lr: 1.000e-02 eta: 1 day, 1:13:56 time: 0.393 data_time: 0.007 memory: 6404 grad_norm: 6.0469 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4730 loss: 2.4730 2022/06/29 17:52:20 - mmengine - INFO - Epoch(train) [13][1480/3757] lr: 1.000e-02 eta: 1 day, 1:13:51 time: 0.255 data_time: 0.015 memory: 6404 grad_norm: 6.1694 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3006 loss: 2.3006 2022/06/29 17:52:26 - mmengine - INFO - Epoch(train) [13][1500/3757] lr: 1.000e-02 eta: 1 day, 1:13:46 time: 0.417 data_time: 0.184 memory: 6404 grad_norm: 5.5473 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.4020 loss: 2.4020 2022/06/29 17:52:31 - mmengine - INFO - Epoch(train) [13][1520/3757] lr: 1.000e-02 eta: 1 day, 1:13:41 time: 0.569 data_time: 0.008 memory: 6404 grad_norm: 6.0092 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1258 loss: 2.1258 2022/06/29 17:52:37 - mmengine - INFO - Epoch(train) [13][1540/3757] lr: 1.000e-02 eta: 1 day, 1:13:35 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.3286 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3217 loss: 2.3217 2022/06/29 17:52:42 - mmengine - INFO - Epoch(train) [13][1560/3757] lr: 1.000e-02 eta: 1 day, 1:13:30 time: 0.264 data_time: 0.016 memory: 6404 grad_norm: 5.9542 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2126 loss: 2.2126 2022/06/29 17:52:48 - mmengine - INFO - Epoch(train) [13][1580/3757] lr: 1.000e-02 eta: 1 day, 1:13:25 time: 0.313 data_time: 0.008 memory: 6404 grad_norm: 5.4561 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3286 loss: 2.3286 2022/06/29 17:52:53 - mmengine - INFO - Epoch(train) [13][1600/3757] lr: 1.000e-02 eta: 1 day, 1:13:17 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 4.9754 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4669 loss: 2.4669 2022/06/29 17:52:59 - mmengine - INFO - Epoch(train) [13][1620/3757] lr: 1.000e-02 eta: 1 day, 1:13:15 time: 0.573 data_time: 0.006 memory: 6404 grad_norm: 5.4599 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9605 loss: 1.9605 2022/06/29 17:53:04 - mmengine - INFO - Epoch(train) [13][1640/3757] lr: 1.000e-02 eta: 1 day, 1:13:08 time: 0.284 data_time: 0.013 memory: 6404 grad_norm: 5.4314 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1914 loss: 2.1914 2022/06/29 17:53:10 - mmengine - INFO - Epoch(train) [13][1660/3757] lr: 1.000e-02 eta: 1 day, 1:13:00 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.2300 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8952 loss: 1.8952 2022/06/29 17:53:15 - mmengine - INFO - Epoch(train) [13][1680/3757] lr: 1.000e-02 eta: 1 day, 1:12:51 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.2074 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9620 loss: 1.9620 2022/06/29 17:53:20 - mmengine - INFO - Epoch(train) [13][1700/3757] lr: 1.000e-02 eta: 1 day, 1:12:44 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.3402 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7190 loss: 2.7190 2022/06/29 17:53:26 - mmengine - INFO - Epoch(train) [13][1720/3757] lr: 1.000e-02 eta: 1 day, 1:12:39 time: 0.500 data_time: 0.007 memory: 6404 grad_norm: 4.7682 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2912 loss: 2.2912 2022/06/29 17:53:31 - mmengine - INFO - Epoch(train) [13][1740/3757] lr: 1.000e-02 eta: 1 day, 1:12:34 time: 0.479 data_time: 0.006 memory: 6404 grad_norm: 5.5877 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1791 loss: 2.1791 2022/06/29 17:53:37 - mmengine - INFO - Epoch(train) [13][1760/3757] lr: 1.000e-02 eta: 1 day, 1:12:27 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 6.2624 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.1732 loss: 2.1732 2022/06/29 17:53:42 - mmengine - INFO - Epoch(train) [13][1780/3757] lr: 1.000e-02 eta: 1 day, 1:12:21 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.7225 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0963 loss: 2.0963 2022/06/29 17:53:48 - mmengine - INFO - Epoch(train) [13][1800/3757] lr: 1.000e-02 eta: 1 day, 1:12:19 time: 0.536 data_time: 0.006 memory: 6404 grad_norm: 5.7202 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9797 loss: 1.9797 2022/06/29 17:53:53 - mmengine - INFO - Epoch(train) [13][1820/3757] lr: 1.000e-02 eta: 1 day, 1:12:12 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.6561 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0950 loss: 2.0950 2022/06/29 17:53:59 - mmengine - INFO - Epoch(train) [13][1840/3757] lr: 1.000e-02 eta: 1 day, 1:12:06 time: 0.245 data_time: 0.013 memory: 6404 grad_norm: 5.7432 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9231 loss: 2.9231 2022/06/29 17:54:05 - mmengine - INFO - Epoch(train) [13][1860/3757] lr: 1.000e-02 eta: 1 day, 1:12:03 time: 0.653 data_time: 0.007 memory: 6404 grad_norm: 5.6437 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2618 loss: 2.2618 2022/06/29 17:54:10 - mmengine - INFO - Epoch(train) [13][1880/3757] lr: 1.000e-02 eta: 1 day, 1:11:55 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 6.6741 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2342 loss: 2.2342 2022/06/29 17:54:15 - mmengine - INFO - Epoch(train) [13][1900/3757] lr: 1.000e-02 eta: 1 day, 1:11:48 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 5.3148 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0928 loss: 2.0928 2022/06/29 17:54:19 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 17:54:21 - mmengine - INFO - Epoch(train) [13][1920/3757] lr: 1.000e-02 eta: 1 day, 1:11:42 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 5.7655 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9650 loss: 1.9650 2022/06/29 17:54:26 - mmengine - INFO - Epoch(train) [13][1940/3757] lr: 1.000e-02 eta: 1 day, 1:11:37 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.3625 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6562 loss: 2.6562 2022/06/29 17:54:31 - mmengine - INFO - Epoch(train) [13][1960/3757] lr: 1.000e-02 eta: 1 day, 1:11:28 time: 0.243 data_time: 0.017 memory: 6404 grad_norm: 5.2647 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0677 loss: 2.0677 2022/06/29 17:54:37 - mmengine - INFO - Epoch(train) [13][1980/3757] lr: 1.000e-02 eta: 1 day, 1:11:24 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 5.4606 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2364 loss: 2.2364 2022/06/29 17:54:42 - mmengine - INFO - Epoch(train) [13][2000/3757] lr: 1.000e-02 eta: 1 day, 1:11:17 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.5697 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4357 loss: 2.4357 2022/06/29 17:54:48 - mmengine - INFO - Epoch(train) [13][2020/3757] lr: 1.000e-02 eta: 1 day, 1:11:12 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 6.0203 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6065 loss: 2.6065 2022/06/29 17:54:53 - mmengine - INFO - Epoch(train) [13][2040/3757] lr: 1.000e-02 eta: 1 day, 1:11:06 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 5.5273 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7653 loss: 2.7653 2022/06/29 17:54:59 - mmengine - INFO - Epoch(train) [13][2060/3757] lr: 1.000e-02 eta: 1 day, 1:11:00 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 5.1220 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5062 loss: 2.5062 2022/06/29 17:55:04 - mmengine - INFO - Epoch(train) [13][2080/3757] lr: 1.000e-02 eta: 1 day, 1:10:56 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 6.5574 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4186 loss: 2.4186 2022/06/29 17:55:10 - mmengine - INFO - Epoch(train) [13][2100/3757] lr: 1.000e-02 eta: 1 day, 1:10:50 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 5.4705 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7899 loss: 1.7899 2022/06/29 17:55:15 - mmengine - INFO - Epoch(train) [13][2120/3757] lr: 1.000e-02 eta: 1 day, 1:10:44 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 4.8205 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0538 loss: 2.0538 2022/06/29 17:55:21 - mmengine - INFO - Epoch(train) [13][2140/3757] lr: 1.000e-02 eta: 1 day, 1:10:42 time: 0.549 data_time: 0.007 memory: 6404 grad_norm: 4.9513 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8626 loss: 1.8626 2022/06/29 17:55:27 - mmengine - INFO - Epoch(train) [13][2160/3757] lr: 1.000e-02 eta: 1 day, 1:10:36 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.2425 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1661 loss: 2.1661 2022/06/29 17:55:32 - mmengine - INFO - Epoch(train) [13][2180/3757] lr: 1.000e-02 eta: 1 day, 1:10:31 time: 0.242 data_time: 0.008 memory: 6404 grad_norm: 5.3295 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1842 loss: 2.1842 2022/06/29 17:55:38 - mmengine - INFO - Epoch(train) [13][2200/3757] lr: 1.000e-02 eta: 1 day, 1:10:24 time: 0.278 data_time: 0.007 memory: 6404 grad_norm: 5.5370 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2385 loss: 2.2385 2022/06/29 17:55:43 - mmengine - INFO - Epoch(train) [13][2220/3757] lr: 1.000e-02 eta: 1 day, 1:10:17 time: 0.242 data_time: 0.008 memory: 6404 grad_norm: 5.9197 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0480 loss: 2.0480 2022/06/29 17:55:49 - mmengine - INFO - Epoch(train) [13][2240/3757] lr: 1.000e-02 eta: 1 day, 1:10:12 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 5.7971 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3090 loss: 2.3090 2022/06/29 17:55:54 - mmengine - INFO - Epoch(train) [13][2260/3757] lr: 1.000e-02 eta: 1 day, 1:10:06 time: 0.281 data_time: 0.006 memory: 6404 grad_norm: 5.7090 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7793 loss: 2.7793 2022/06/29 17:55:59 - mmengine - INFO - Epoch(train) [13][2280/3757] lr: 1.000e-02 eta: 1 day, 1:09:59 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 6.3073 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2790 loss: 2.2790 2022/06/29 17:56:05 - mmengine - INFO - Epoch(train) [13][2300/3757] lr: 1.000e-02 eta: 1 day, 1:09:54 time: 0.241 data_time: 0.009 memory: 6404 grad_norm: 5.9236 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3127 loss: 2.3127 2022/06/29 17:56:11 - mmengine - INFO - Epoch(train) [13][2320/3757] lr: 1.000e-02 eta: 1 day, 1:09:49 time: 0.277 data_time: 0.006 memory: 6404 grad_norm: 5.1932 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7520 loss: 1.7520 2022/06/29 17:56:16 - mmengine - INFO - Epoch(train) [13][2340/3757] lr: 1.000e-02 eta: 1 day, 1:09:41 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 5.1659 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2281 loss: 2.2281 2022/06/29 17:56:21 - mmengine - INFO - Epoch(train) [13][2360/3757] lr: 1.000e-02 eta: 1 day, 1:09:34 time: 0.253 data_time: 0.015 memory: 6404 grad_norm: 5.1704 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9873 loss: 1.9873 2022/06/29 17:56:27 - mmengine - INFO - Epoch(train) [13][2380/3757] lr: 1.000e-02 eta: 1 day, 1:09:28 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 5.2442 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8989 loss: 1.8989 2022/06/29 17:56:32 - mmengine - INFO - Epoch(train) [13][2400/3757] lr: 1.000e-02 eta: 1 day, 1:09:25 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 5.6295 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.7928 loss: 1.7928 2022/06/29 17:56:38 - mmengine - INFO - Epoch(train) [13][2420/3757] lr: 1.000e-02 eta: 1 day, 1:09:19 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.3483 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4457 loss: 2.4457 2022/06/29 17:56:43 - mmengine - INFO - Epoch(train) [13][2440/3757] lr: 1.000e-02 eta: 1 day, 1:09:14 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 4.6575 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1116 loss: 2.1116 2022/06/29 17:56:49 - mmengine - INFO - Epoch(train) [13][2460/3757] lr: 1.000e-02 eta: 1 day, 1:09:06 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.6999 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7034 loss: 1.7034 2022/06/29 17:56:54 - mmengine - INFO - Epoch(train) [13][2480/3757] lr: 1.000e-02 eta: 1 day, 1:08:57 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 5.2565 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.0768 loss: 2.0768 2022/06/29 17:56:59 - mmengine - INFO - Epoch(train) [13][2500/3757] lr: 1.000e-02 eta: 1 day, 1:08:52 time: 0.250 data_time: 0.018 memory: 6404 grad_norm: 5.8691 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8112 loss: 1.8112 2022/06/29 17:57:05 - mmengine - INFO - Epoch(train) [13][2520/3757] lr: 1.000e-02 eta: 1 day, 1:08:46 time: 0.246 data_time: 0.012 memory: 6404 grad_norm: 5.4330 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8377 loss: 1.8377 2022/06/29 17:57:11 - mmengine - INFO - Epoch(train) [13][2540/3757] lr: 1.000e-02 eta: 1 day, 1:08:42 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 5.9181 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0496 loss: 2.0496 2022/06/29 17:57:16 - mmengine - INFO - Epoch(train) [13][2560/3757] lr: 1.000e-02 eta: 1 day, 1:08:36 time: 0.260 data_time: 0.017 memory: 6404 grad_norm: 5.9656 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3677 loss: 2.3677 2022/06/29 17:57:21 - mmengine - INFO - Epoch(train) [13][2580/3757] lr: 1.000e-02 eta: 1 day, 1:08:28 time: 0.246 data_time: 0.017 memory: 6404 grad_norm: 5.1940 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3983 loss: 2.3983 2022/06/29 17:57:27 - mmengine - INFO - Epoch(train) [13][2600/3757] lr: 1.000e-02 eta: 1 day, 1:08:23 time: 0.263 data_time: 0.006 memory: 6404 grad_norm: 5.3249 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5776 loss: 2.5776 2022/06/29 17:57:32 - mmengine - INFO - Epoch(train) [13][2620/3757] lr: 1.000e-02 eta: 1 day, 1:08:18 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.3133 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1773 loss: 2.1773 2022/06/29 17:57:38 - mmengine - INFO - Epoch(train) [13][2640/3757] lr: 1.000e-02 eta: 1 day, 1:08:12 time: 0.244 data_time: 0.013 memory: 6404 grad_norm: 5.5943 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1921 loss: 2.1921 2022/06/29 17:57:43 - mmengine - INFO - Epoch(train) [13][2660/3757] lr: 1.000e-02 eta: 1 day, 1:08:04 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.2523 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.0869 loss: 2.0869 2022/06/29 17:57:48 - mmengine - INFO - Epoch(train) [13][2680/3757] lr: 1.000e-02 eta: 1 day, 1:07:56 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.4922 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3620 loss: 2.3620 2022/06/29 17:57:53 - mmengine - INFO - Epoch(train) [13][2700/3757] lr: 1.000e-02 eta: 1 day, 1:07:49 time: 0.242 data_time: 0.010 memory: 6404 grad_norm: 5.4858 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1284 loss: 2.1284 2022/06/29 17:57:59 - mmengine - INFO - Epoch(train) [13][2720/3757] lr: 1.000e-02 eta: 1 day, 1:07:42 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 5.4682 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3063 loss: 2.3063 2022/06/29 17:58:04 - mmengine - INFO - Epoch(train) [13][2740/3757] lr: 1.000e-02 eta: 1 day, 1:07:39 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 6.0186 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2667 loss: 2.2667 2022/06/29 17:58:10 - mmengine - INFO - Epoch(train) [13][2760/3757] lr: 1.000e-02 eta: 1 day, 1:07:34 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 4.6262 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3584 loss: 2.3584 2022/06/29 17:58:15 - mmengine - INFO - Epoch(train) [13][2780/3757] lr: 1.000e-02 eta: 1 day, 1:07:27 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.3216 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2495 loss: 2.2495 2022/06/29 17:58:21 - mmengine - INFO - Epoch(train) [13][2800/3757] lr: 1.000e-02 eta: 1 day, 1:07:19 time: 0.241 data_time: 0.051 memory: 6404 grad_norm: 5.5693 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9470 loss: 1.9470 2022/06/29 17:58:27 - mmengine - INFO - Epoch(train) [13][2820/3757] lr: 1.000e-02 eta: 1 day, 1:07:16 time: 0.304 data_time: 0.008 memory: 6404 grad_norm: 5.6060 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9403 loss: 1.9403 2022/06/29 17:58:32 - mmengine - INFO - Epoch(train) [13][2840/3757] lr: 1.000e-02 eta: 1 day, 1:07:09 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.4621 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3506 loss: 2.3506 2022/06/29 17:58:37 - mmengine - INFO - Epoch(train) [13][2860/3757] lr: 1.000e-02 eta: 1 day, 1:07:04 time: 0.247 data_time: 0.017 memory: 6404 grad_norm: 4.9117 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1225 loss: 2.1225 2022/06/29 17:58:43 - mmengine - INFO - Epoch(train) [13][2880/3757] lr: 1.000e-02 eta: 1 day, 1:07:00 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 5.0173 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1375 loss: 2.1375 2022/06/29 17:58:48 - mmengine - INFO - Epoch(train) [13][2900/3757] lr: 1.000e-02 eta: 1 day, 1:06:52 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 5.0997 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0429 loss: 2.0429 2022/06/29 17:58:52 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 17:58:53 - mmengine - INFO - Epoch(train) [13][2920/3757] lr: 1.000e-02 eta: 1 day, 1:06:44 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 5.8835 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0000 loss: 2.0000 2022/06/29 17:58:59 - mmengine - INFO - Epoch(train) [13][2940/3757] lr: 1.000e-02 eta: 1 day, 1:06:38 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.1128 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5241 loss: 2.5241 2022/06/29 17:59:04 - mmengine - INFO - Epoch(train) [13][2960/3757] lr: 1.000e-02 eta: 1 day, 1:06:31 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.1919 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9140 loss: 1.9140 2022/06/29 17:59:10 - mmengine - INFO - Epoch(train) [13][2980/3757] lr: 1.000e-02 eta: 1 day, 1:06:28 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 6.2381 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3048 loss: 2.3048 2022/06/29 17:59:16 - mmengine - INFO - Epoch(train) [13][3000/3757] lr: 1.000e-02 eta: 1 day, 1:06:23 time: 0.491 data_time: 0.008 memory: 6404 grad_norm: 6.0944 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2202 loss: 2.2202 2022/06/29 17:59:21 - mmengine - INFO - Epoch(train) [13][3020/3757] lr: 1.000e-02 eta: 1 day, 1:06:16 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 5.7923 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3665 loss: 2.3665 2022/06/29 17:59:27 - mmengine - INFO - Epoch(train) [13][3040/3757] lr: 1.000e-02 eta: 1 day, 1:06:13 time: 0.243 data_time: 0.022 memory: 6404 grad_norm: 5.2764 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1333 loss: 2.1333 2022/06/29 17:59:32 - mmengine - INFO - Epoch(train) [13][3060/3757] lr: 1.000e-02 eta: 1 day, 1:06:04 time: 0.280 data_time: 0.007 memory: 6404 grad_norm: 5.7566 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3845 loss: 2.3845 2022/06/29 17:59:37 - mmengine - INFO - Epoch(train) [13][3080/3757] lr: 1.000e-02 eta: 1 day, 1:05:57 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.6488 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.9306 loss: 1.9306 2022/06/29 17:59:42 - mmengine - INFO - Epoch(train) [13][3100/3757] lr: 1.000e-02 eta: 1 day, 1:05:49 time: 0.241 data_time: 0.019 memory: 6404 grad_norm: 5.6402 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3323 loss: 2.3323 2022/06/29 17:59:48 - mmengine - INFO - Epoch(train) [13][3120/3757] lr: 1.000e-02 eta: 1 day, 1:05:44 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 5.9121 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1051 loss: 2.1051 2022/06/29 17:59:53 - mmengine - INFO - Epoch(train) [13][3140/3757] lr: 1.000e-02 eta: 1 day, 1:05:36 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 5.4617 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6051 loss: 2.6051 2022/06/29 17:59:59 - mmengine - INFO - Epoch(train) [13][3160/3757] lr: 1.000e-02 eta: 1 day, 1:05:34 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 4.9198 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9045 loss: 1.9045 2022/06/29 18:00:06 - mmengine - INFO - Epoch(train) [13][3180/3757] lr: 1.000e-02 eta: 1 day, 1:05:39 time: 0.262 data_time: 0.016 memory: 6404 grad_norm: 5.7141 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1620 loss: 2.1620 2022/06/29 18:00:11 - mmengine - INFO - Epoch(train) [13][3200/3757] lr: 1.000e-02 eta: 1 day, 1:05:31 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 5.1428 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3962 loss: 2.3962 2022/06/29 18:00:16 - mmengine - INFO - Epoch(train) [13][3220/3757] lr: 1.000e-02 eta: 1 day, 1:05:22 time: 0.268 data_time: 0.035 memory: 6404 grad_norm: 5.6896 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3427 loss: 2.3427 2022/06/29 18:00:24 - mmengine - INFO - Epoch(train) [13][3240/3757] lr: 1.000e-02 eta: 1 day, 1:05:27 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 5.4168 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2838 loss: 2.2838 2022/06/29 18:00:29 - mmengine - INFO - Epoch(train) [13][3260/3757] lr: 1.000e-02 eta: 1 day, 1:05:18 time: 0.261 data_time: 0.015 memory: 6404 grad_norm: 5.7436 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0322 loss: 2.0322 2022/06/29 18:00:34 - mmengine - INFO - Epoch(train) [13][3280/3757] lr: 1.000e-02 eta: 1 day, 1:05:12 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 5.6370 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9447 loss: 1.9447 2022/06/29 18:00:39 - mmengine - INFO - Epoch(train) [13][3300/3757] lr: 1.000e-02 eta: 1 day, 1:05:04 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 6.1933 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5862 loss: 2.5862 2022/06/29 18:00:44 - mmengine - INFO - Epoch(train) [13][3320/3757] lr: 1.000e-02 eta: 1 day, 1:04:55 time: 0.244 data_time: 0.014 memory: 6404 grad_norm: 5.5546 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9992 loss: 1.9992 2022/06/29 18:00:49 - mmengine - INFO - Epoch(train) [13][3340/3757] lr: 1.000e-02 eta: 1 day, 1:04:47 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 6.0369 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1589 loss: 2.1589 2022/06/29 18:00:54 - mmengine - INFO - Epoch(train) [13][3360/3757] lr: 1.000e-02 eta: 1 day, 1:04:38 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 4.9223 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0817 loss: 2.0817 2022/06/29 18:00:59 - mmengine - INFO - Epoch(train) [13][3380/3757] lr: 1.000e-02 eta: 1 day, 1:04:31 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.3066 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2995 loss: 2.2995 2022/06/29 18:01:05 - mmengine - INFO - Epoch(train) [13][3400/3757] lr: 1.000e-02 eta: 1 day, 1:04:25 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.8008 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3135 loss: 2.3135 2022/06/29 18:01:11 - mmengine - INFO - Epoch(train) [13][3420/3757] lr: 1.000e-02 eta: 1 day, 1:04:22 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 5.8382 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2529 loss: 2.2529 2022/06/29 18:01:16 - mmengine - INFO - Epoch(train) [13][3440/3757] lr: 1.000e-02 eta: 1 day, 1:04:13 time: 0.263 data_time: 0.006 memory: 6404 grad_norm: 5.6709 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5217 loss: 2.5217 2022/06/29 18:01:22 - mmengine - INFO - Epoch(train) [13][3460/3757] lr: 1.000e-02 eta: 1 day, 1:04:10 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.8097 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1393 loss: 2.1393 2022/06/29 18:01:28 - mmengine - INFO - Epoch(train) [13][3480/3757] lr: 1.000e-02 eta: 1 day, 1:04:06 time: 0.245 data_time: 0.012 memory: 6404 grad_norm: 5.5396 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4459 loss: 2.4459 2022/06/29 18:01:33 - mmengine - INFO - Epoch(train) [13][3500/3757] lr: 1.000e-02 eta: 1 day, 1:03:59 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.5292 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8278 loss: 1.8278 2022/06/29 18:01:39 - mmengine - INFO - Epoch(train) [13][3520/3757] lr: 1.000e-02 eta: 1 day, 1:03:55 time: 0.245 data_time: 0.009 memory: 6404 grad_norm: 4.9232 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3104 loss: 2.3104 2022/06/29 18:01:44 - mmengine - INFO - Epoch(train) [13][3540/3757] lr: 1.000e-02 eta: 1 day, 1:03:48 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 6.0141 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9888 loss: 1.9888 2022/06/29 18:01:49 - mmengine - INFO - Epoch(train) [13][3560/3757] lr: 1.000e-02 eta: 1 day, 1:03:42 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.6650 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0140 loss: 2.0140 2022/06/29 18:01:55 - mmengine - INFO - Epoch(train) [13][3580/3757] lr: 1.000e-02 eta: 1 day, 1:03:36 time: 0.239 data_time: 0.008 memory: 6404 grad_norm: 5.7772 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1856 loss: 2.1856 2022/06/29 18:02:00 - mmengine - INFO - Epoch(train) [13][3600/3757] lr: 1.000e-02 eta: 1 day, 1:03:31 time: 0.422 data_time: 0.011 memory: 6404 grad_norm: 5.1571 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9988 loss: 1.9988 2022/06/29 18:02:06 - mmengine - INFO - Epoch(train) [13][3620/3757] lr: 1.000e-02 eta: 1 day, 1:03:25 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.4208 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8705 loss: 1.8705 2022/06/29 18:02:11 - mmengine - INFO - Epoch(train) [13][3640/3757] lr: 1.000e-02 eta: 1 day, 1:03:19 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.4906 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4043 loss: 2.4043 2022/06/29 18:02:17 - mmengine - INFO - Epoch(train) [13][3660/3757] lr: 1.000e-02 eta: 1 day, 1:03:16 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 5.0775 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3081 loss: 2.3081 2022/06/29 18:02:22 - mmengine - INFO - Epoch(train) [13][3680/3757] lr: 1.000e-02 eta: 1 day, 1:03:08 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.0049 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9560 loss: 1.9560 2022/06/29 18:02:28 - mmengine - INFO - Epoch(train) [13][3700/3757] lr: 1.000e-02 eta: 1 day, 1:03:04 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.5689 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0170 loss: 2.0170 2022/06/29 18:02:34 - mmengine - INFO - Epoch(train) [13][3720/3757] lr: 1.000e-02 eta: 1 day, 1:02:58 time: 0.278 data_time: 0.008 memory: 6404 grad_norm: 5.7987 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9787 loss: 1.9787 2022/06/29 18:02:39 - mmengine - INFO - Epoch(train) [13][3740/3757] lr: 1.000e-02 eta: 1 day, 1:02:51 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.3446 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2112 loss: 2.2112 2022/06/29 18:02:43 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 18:02:50 - mmengine - INFO - Epoch(val) [13][20/310] eta: 0:01:37 time: 0.098 data_time: 0.013 memory: 6404 2022/06/29 18:02:56 - mmengine - INFO - Epoch(val) [13][40/310] eta: 0:01:12 time: 0.079 data_time: 0.005 memory: 1479 2022/06/29 18:03:01 - mmengine - INFO - Epoch(val) [13][60/310] eta: 0:00:59 time: 0.081 data_time: 0.007 memory: 1479 2022/06/29 18:03:07 - mmengine - INFO - Epoch(val) [13][80/310] eta: 0:01:11 time: 0.078 data_time: 0.005 memory: 1479 2022/06/29 18:03:12 - mmengine - INFO - Epoch(val) [13][100/310] eta: 0:00:38 time: 0.089 data_time: 0.010 memory: 1479 2022/06/29 18:03:17 - mmengine - INFO - Epoch(val) [13][120/310] eta: 0:00:41 time: 0.089 data_time: 0.011 memory: 1479 2022/06/29 18:03:23 - mmengine - INFO - Epoch(val) [13][140/310] eta: 0:00:46 time: 0.081 data_time: 0.005 memory: 1479 2022/06/29 18:03:28 - mmengine - INFO - Epoch(val) [13][160/310] eta: 0:00:27 time: 0.685 data_time: 0.608 memory: 1479 2022/06/29 18:03:33 - mmengine - INFO - Epoch(val) [13][180/310] eta: 0:00:38 time: 0.081 data_time: 0.007 memory: 1479 2022/06/29 18:03:39 - mmengine - INFO - Epoch(val) [13][200/310] eta: 0:00:32 time: 0.089 data_time: 0.007 memory: 1479 2022/06/29 18:03:44 - mmengine - INFO - Epoch(val) [13][220/310] eta: 0:00:17 time: 0.616 data_time: 0.539 memory: 1479 2022/06/29 18:03:48 - mmengine - INFO - Epoch(val) [13][240/310] eta: 0:00:18 time: 0.079 data_time: 0.006 memory: 1479 2022/06/29 18:03:54 - mmengine - INFO - Epoch(val) [13][260/310] eta: 0:00:14 time: 0.083 data_time: 0.005 memory: 1479 2022/06/29 18:04:00 - mmengine - INFO - Epoch(val) [13][280/310] eta: 0:00:09 time: 0.090 data_time: 0.005 memory: 1479 2022/06/29 18:04:03 - mmengine - INFO - Epoch(val) [13][300/310] eta: 0:00:02 time: 0.090 data_time: 0.008 memory: 1479 2022/06/29 18:04:06 - mmengine - INFO - Epoch(val) [13][310/310] acc/top1: 0.5392 acc/top5: 0.7875 acc/mean1: 0.5390 2022/06/29 18:04:15 - mmengine - INFO - Epoch(train) [14][20/3757] lr: 1.000e-02 eta: 1 day, 1:02:50 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.3760 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9335 loss: 1.9335 2022/06/29 18:04:21 - mmengine - INFO - Epoch(train) [14][40/3757] lr: 1.000e-02 eta: 1 day, 1:02:44 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.2867 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2832 loss: 2.2832 2022/06/29 18:04:26 - mmengine - INFO - Epoch(train) [14][60/3757] lr: 1.000e-02 eta: 1 day, 1:02:38 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.2083 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2094 loss: 2.2094 2022/06/29 18:04:32 - mmengine - INFO - Epoch(train) [14][80/3757] lr: 1.000e-02 eta: 1 day, 1:02:37 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 5.0949 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1827 loss: 2.1827 2022/06/29 18:04:38 - mmengine - INFO - Epoch(train) [14][100/3757] lr: 1.000e-02 eta: 1 day, 1:02:32 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 5.2883 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0717 loss: 2.0717 2022/06/29 18:04:43 - mmengine - INFO - Epoch(train) [14][120/3757] lr: 1.000e-02 eta: 1 day, 1:02:26 time: 0.253 data_time: 0.015 memory: 6404 grad_norm: 5.4511 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3451 loss: 2.3451 2022/06/29 18:04:49 - mmengine - INFO - Epoch(train) [14][140/3757] lr: 1.000e-02 eta: 1 day, 1:02:23 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 4.3373 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2622 loss: 2.2622 2022/06/29 18:04:54 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 18:04:55 - mmengine - INFO - Epoch(train) [14][160/3757] lr: 1.000e-02 eta: 1 day, 1:02:16 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.1369 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2594 loss: 2.2594 2022/06/29 18:05:00 - mmengine - INFO - Epoch(train) [14][180/3757] lr: 1.000e-02 eta: 1 day, 1:02:11 time: 0.260 data_time: 0.015 memory: 6404 grad_norm: 5.4390 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8749 loss: 1.8749 2022/06/29 18:05:05 - mmengine - INFO - Epoch(train) [14][200/3757] lr: 1.000e-02 eta: 1 day, 1:02:03 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.0640 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9590 loss: 1.9590 2022/06/29 18:05:11 - mmengine - INFO - Epoch(train) [14][220/3757] lr: 1.000e-02 eta: 1 day, 1:02:01 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.6753 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1167 loss: 2.1167 2022/06/29 18:05:17 - mmengine - INFO - Epoch(train) [14][240/3757] lr: 1.000e-02 eta: 1 day, 1:01:55 time: 0.270 data_time: 0.041 memory: 6404 grad_norm: 6.4058 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0523 loss: 2.0523 2022/06/29 18:05:22 - mmengine - INFO - Epoch(train) [14][260/3757] lr: 1.000e-02 eta: 1 day, 1:01:50 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 6.7259 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7414 loss: 1.7414 2022/06/29 18:05:28 - mmengine - INFO - Epoch(train) [14][280/3757] lr: 1.000e-02 eta: 1 day, 1:01:45 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 5.9771 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0309 loss: 2.0309 2022/06/29 18:05:33 - mmengine - INFO - Epoch(train) [14][300/3757] lr: 1.000e-02 eta: 1 day, 1:01:37 time: 0.243 data_time: 0.017 memory: 6404 grad_norm: 5.9695 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8688 loss: 1.8688 2022/06/29 18:05:39 - mmengine - INFO - Epoch(train) [14][320/3757] lr: 1.000e-02 eta: 1 day, 1:01:32 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.1298 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1582 loss: 2.1582 2022/06/29 18:05:44 - mmengine - INFO - Epoch(train) [14][340/3757] lr: 1.000e-02 eta: 1 day, 1:01:25 time: 0.262 data_time: 0.006 memory: 6404 grad_norm: 5.5893 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0764 loss: 2.0764 2022/06/29 18:05:50 - mmengine - INFO - Epoch(train) [14][360/3757] lr: 1.000e-02 eta: 1 day, 1:01:24 time: 0.240 data_time: 0.018 memory: 6404 grad_norm: 5.4939 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1638 loss: 2.1638 2022/06/29 18:05:55 - mmengine - INFO - Epoch(train) [14][380/3757] lr: 1.000e-02 eta: 1 day, 1:01:16 time: 0.259 data_time: 0.012 memory: 6404 grad_norm: 5.9797 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5066 loss: 2.5066 2022/06/29 18:06:00 - mmengine - INFO - Epoch(train) [14][400/3757] lr: 1.000e-02 eta: 1 day, 1:01:07 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 4.8483 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1641 loss: 2.1641 2022/06/29 18:06:06 - mmengine - INFO - Epoch(train) [14][420/3757] lr: 1.000e-02 eta: 1 day, 1:01:00 time: 0.248 data_time: 0.019 memory: 6404 grad_norm: 5.2600 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5296 loss: 2.5296 2022/06/29 18:06:11 - mmengine - INFO - Epoch(train) [14][440/3757] lr: 1.000e-02 eta: 1 day, 1:00:56 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 5.4236 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2367 loss: 2.2367 2022/06/29 18:06:17 - mmengine - INFO - Epoch(train) [14][460/3757] lr: 1.000e-02 eta: 1 day, 1:00:50 time: 0.305 data_time: 0.007 memory: 6404 grad_norm: 5.7007 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7377 loss: 2.7377 2022/06/29 18:06:22 - mmengine - INFO - Epoch(train) [14][480/3757] lr: 1.000e-02 eta: 1 day, 1:00:45 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 6.4437 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1478 loss: 2.1478 2022/06/29 18:06:28 - mmengine - INFO - Epoch(train) [14][500/3757] lr: 1.000e-02 eta: 1 day, 1:00:40 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 6.2695 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0852 loss: 2.0852 2022/06/29 18:06:34 - mmengine - INFO - Epoch(train) [14][520/3757] lr: 1.000e-02 eta: 1 day, 1:00:36 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.2726 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.6621 loss: 1.6621 2022/06/29 18:06:39 - mmengine - INFO - Epoch(train) [14][540/3757] lr: 1.000e-02 eta: 1 day, 1:00:29 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 5.2329 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1598 loss: 2.1598 2022/06/29 18:06:44 - mmengine - INFO - Epoch(train) [14][560/3757] lr: 1.000e-02 eta: 1 day, 1:00:20 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.4000 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4192 loss: 2.4192 2022/06/29 18:06:50 - mmengine - INFO - Epoch(train) [14][580/3757] lr: 1.000e-02 eta: 1 day, 1:00:16 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.8217 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0415 loss: 2.0415 2022/06/29 18:06:55 - mmengine - INFO - Epoch(train) [14][600/3757] lr: 1.000e-02 eta: 1 day, 1:00:10 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.0734 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1846 loss: 2.1846 2022/06/29 18:07:01 - mmengine - INFO - Epoch(train) [14][620/3757] lr: 1.000e-02 eta: 1 day, 1:00:05 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.6473 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1343 loss: 2.1343 2022/06/29 18:07:06 - mmengine - INFO - Epoch(train) [14][640/3757] lr: 1.000e-02 eta: 1 day, 0:59:58 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 5.9296 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1837 loss: 2.1837 2022/06/29 18:07:12 - mmengine - INFO - Epoch(train) [14][660/3757] lr: 1.000e-02 eta: 1 day, 0:59:52 time: 0.332 data_time: 0.007 memory: 6404 grad_norm: 4.6944 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9594 loss: 1.9594 2022/06/29 18:07:17 - mmengine - INFO - Epoch(train) [14][680/3757] lr: 1.000e-02 eta: 1 day, 0:59:48 time: 0.420 data_time: 0.007 memory: 6404 grad_norm: 5.2523 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6616 loss: 1.6616 2022/06/29 18:07:23 - mmengine - INFO - Epoch(train) [14][700/3757] lr: 1.000e-02 eta: 1 day, 0:59:42 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.2355 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7891 loss: 1.7891 2022/06/29 18:07:29 - mmengine - INFO - Epoch(train) [14][720/3757] lr: 1.000e-02 eta: 1 day, 0:59:38 time: 0.243 data_time: 0.006 memory: 6404 grad_norm: 5.6558 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9889 loss: 1.9889 2022/06/29 18:07:34 - mmengine - INFO - Epoch(train) [14][740/3757] lr: 1.000e-02 eta: 1 day, 0:59:32 time: 0.275 data_time: 0.007 memory: 6404 grad_norm: 5.5971 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1819 loss: 2.1819 2022/06/29 18:07:40 - mmengine - INFO - Epoch(train) [14][760/3757] lr: 1.000e-02 eta: 1 day, 0:59:28 time: 0.241 data_time: 0.007 memory: 6404 grad_norm: 6.0728 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4438 loss: 2.4438 2022/06/29 18:07:46 - mmengine - INFO - Epoch(train) [14][780/3757] lr: 1.000e-02 eta: 1 day, 0:59:24 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.6799 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8122 loss: 2.8122 2022/06/29 18:07:51 - mmengine - INFO - Epoch(train) [14][800/3757] lr: 1.000e-02 eta: 1 day, 0:59:19 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 5.2129 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2668 loss: 2.2668 2022/06/29 18:07:56 - mmengine - INFO - Epoch(train) [14][820/3757] lr: 1.000e-02 eta: 1 day, 0:59:12 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 5.9763 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3027 loss: 2.3027 2022/06/29 18:08:02 - mmengine - INFO - Epoch(train) [14][840/3757] lr: 1.000e-02 eta: 1 day, 0:59:08 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 6.4481 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0545 loss: 2.0545 2022/06/29 18:08:08 - mmengine - INFO - Epoch(train) [14][860/3757] lr: 1.000e-02 eta: 1 day, 0:59:03 time: 0.236 data_time: 0.007 memory: 6404 grad_norm: 5.2649 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5606 loss: 2.5606 2022/06/29 18:08:13 - mmengine - INFO - Epoch(train) [14][880/3757] lr: 1.000e-02 eta: 1 day, 0:58:57 time: 0.235 data_time: 0.009 memory: 6404 grad_norm: 4.8544 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0176 loss: 2.0176 2022/06/29 18:08:18 - mmengine - INFO - Epoch(train) [14][900/3757] lr: 1.000e-02 eta: 1 day, 0:58:49 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.6214 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1866 loss: 2.1866 2022/06/29 18:08:24 - mmengine - INFO - Epoch(train) [14][920/3757] lr: 1.000e-02 eta: 1 day, 0:58:43 time: 0.280 data_time: 0.010 memory: 6404 grad_norm: 5.7505 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8978 loss: 1.8978 2022/06/29 18:08:29 - mmengine - INFO - Epoch(train) [14][940/3757] lr: 1.000e-02 eta: 1 day, 0:58:37 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 5.8673 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8580 loss: 1.8580 2022/06/29 18:08:35 - mmengine - INFO - Epoch(train) [14][960/3757] lr: 1.000e-02 eta: 1 day, 0:58:32 time: 0.241 data_time: 0.010 memory: 6404 grad_norm: 5.5429 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3052 loss: 2.3052 2022/06/29 18:08:40 - mmengine - INFO - Epoch(train) [14][980/3757] lr: 1.000e-02 eta: 1 day, 0:58:26 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.5071 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9980 loss: 1.9980 2022/06/29 18:08:45 - mmengine - INFO - Epoch(train) [14][1000/3757] lr: 1.000e-02 eta: 1 day, 0:58:18 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.7529 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5739 loss: 1.5739 2022/06/29 18:08:51 - mmengine - INFO - Epoch(train) [14][1020/3757] lr: 1.000e-02 eta: 1 day, 0:58:15 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 5.8714 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7106 loss: 1.7106 2022/06/29 18:08:56 - mmengine - INFO - Epoch(train) [14][1040/3757] lr: 1.000e-02 eta: 1 day, 0:58:07 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 5.2088 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3974 loss: 2.3974 2022/06/29 18:09:02 - mmengine - INFO - Epoch(train) [14][1060/3757] lr: 1.000e-02 eta: 1 day, 0:57:59 time: 0.254 data_time: 0.016 memory: 6404 grad_norm: 5.3597 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8354 loss: 1.8354 2022/06/29 18:09:07 - mmengine - INFO - Epoch(train) [14][1080/3757] lr: 1.000e-02 eta: 1 day, 0:57:52 time: 0.345 data_time: 0.006 memory: 6404 grad_norm: 5.6528 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3359 loss: 2.3359 2022/06/29 18:09:12 - mmengine - INFO - Epoch(train) [14][1100/3757] lr: 1.000e-02 eta: 1 day, 0:57:46 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 6.0380 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0445 loss: 2.0445 2022/06/29 18:09:18 - mmengine - INFO - Epoch(train) [14][1120/3757] lr: 1.000e-02 eta: 1 day, 0:57:43 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 5.7992 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5189 loss: 2.5189 2022/06/29 18:09:24 - mmengine - INFO - Epoch(train) [14][1140/3757] lr: 1.000e-02 eta: 1 day, 0:57:39 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.2944 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5560 loss: 2.5560 2022/06/29 18:09:30 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 18:09:30 - mmengine - INFO - Epoch(train) [14][1160/3757] lr: 1.000e-02 eta: 1 day, 0:57:39 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 5.2752 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1098 loss: 2.1098 2022/06/29 18:09:36 - mmengine - INFO - Epoch(train) [14][1180/3757] lr: 1.000e-02 eta: 1 day, 0:57:31 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 5.5269 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0199 loss: 2.0199 2022/06/29 18:09:41 - mmengine - INFO - Epoch(train) [14][1200/3757] lr: 1.000e-02 eta: 1 day, 0:57:23 time: 0.260 data_time: 0.013 memory: 6404 grad_norm: 5.5254 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5352 loss: 2.5352 2022/06/29 18:09:46 - mmengine - INFO - Epoch(train) [14][1220/3757] lr: 1.000e-02 eta: 1 day, 0:57:15 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 5.4945 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9145 loss: 1.9145 2022/06/29 18:09:51 - mmengine - INFO - Epoch(train) [14][1240/3757] lr: 1.000e-02 eta: 1 day, 0:57:08 time: 0.251 data_time: 0.021 memory: 6404 grad_norm: 5.8231 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3744 loss: 2.3744 2022/06/29 18:09:56 - mmengine - INFO - Epoch(train) [14][1260/3757] lr: 1.000e-02 eta: 1 day, 0:57:00 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 6.3916 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6332 loss: 2.6332 2022/06/29 18:10:01 - mmengine - INFO - Epoch(train) [14][1280/3757] lr: 1.000e-02 eta: 1 day, 0:56:52 time: 0.340 data_time: 0.012 memory: 6404 grad_norm: 6.2104 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2726 loss: 2.2726 2022/06/29 18:10:07 - mmengine - INFO - Epoch(train) [14][1300/3757] lr: 1.000e-02 eta: 1 day, 0:56:46 time: 0.255 data_time: 0.018 memory: 6404 grad_norm: 4.6990 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4228 loss: 2.4228 2022/06/29 18:10:13 - mmengine - INFO - Epoch(train) [14][1320/3757] lr: 1.000e-02 eta: 1 day, 0:56:42 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.0269 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0469 loss: 2.0469 2022/06/29 18:10:18 - mmengine - INFO - Epoch(train) [14][1340/3757] lr: 1.000e-02 eta: 1 day, 0:56:36 time: 0.565 data_time: 0.018 memory: 6404 grad_norm: 5.4411 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9524 loss: 1.9524 2022/06/29 18:10:23 - mmengine - INFO - Epoch(train) [14][1360/3757] lr: 1.000e-02 eta: 1 day, 0:56:29 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 6.0648 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4996 loss: 2.4996 2022/06/29 18:10:29 - mmengine - INFO - Epoch(train) [14][1380/3757] lr: 1.000e-02 eta: 1 day, 0:56:23 time: 0.252 data_time: 0.017 memory: 6404 grad_norm: 6.2669 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2065 loss: 2.2065 2022/06/29 18:10:34 - mmengine - INFO - Epoch(train) [14][1400/3757] lr: 1.000e-02 eta: 1 day, 0:56:18 time: 0.272 data_time: 0.013 memory: 6404 grad_norm: 5.6106 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9307 loss: 1.9307 2022/06/29 18:10:40 - mmengine - INFO - Epoch(train) [14][1420/3757] lr: 1.000e-02 eta: 1 day, 0:56:12 time: 0.264 data_time: 0.018 memory: 6404 grad_norm: 5.2764 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6582 loss: 1.6582 2022/06/29 18:10:46 - mmengine - INFO - Epoch(train) [14][1440/3757] lr: 1.000e-02 eta: 1 day, 0:56:08 time: 0.243 data_time: 0.006 memory: 6404 grad_norm: 5.9503 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5836 loss: 2.5836 2022/06/29 18:10:51 - mmengine - INFO - Epoch(train) [14][1460/3757] lr: 1.000e-02 eta: 1 day, 0:56:02 time: 0.247 data_time: 0.013 memory: 6404 grad_norm: 6.0973 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6365 loss: 2.6365 2022/06/29 18:10:57 - mmengine - INFO - Epoch(train) [14][1480/3757] lr: 1.000e-02 eta: 1 day, 0:55:59 time: 0.240 data_time: 0.017 memory: 6404 grad_norm: 5.6833 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6510 loss: 2.6510 2022/06/29 18:11:02 - mmengine - INFO - Epoch(train) [14][1500/3757] lr: 1.000e-02 eta: 1 day, 0:55:52 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 5.8422 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9756 loss: 1.9756 2022/06/29 18:11:09 - mmengine - INFO - Epoch(train) [14][1520/3757] lr: 1.000e-02 eta: 1 day, 0:55:51 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.8923 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2825 loss: 2.2825 2022/06/29 18:11:14 - mmengine - INFO - Epoch(train) [14][1540/3757] lr: 1.000e-02 eta: 1 day, 0:55:46 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.6331 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5915 loss: 2.5915 2022/06/29 18:11:19 - mmengine - INFO - Epoch(train) [14][1560/3757] lr: 1.000e-02 eta: 1 day, 0:55:37 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 6.2503 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6080 loss: 2.6080 2022/06/29 18:11:24 - mmengine - INFO - Epoch(train) [14][1580/3757] lr: 1.000e-02 eta: 1 day, 0:55:29 time: 0.249 data_time: 0.021 memory: 6404 grad_norm: 4.8967 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0605 loss: 2.0605 2022/06/29 18:11:30 - mmengine - INFO - Epoch(train) [14][1600/3757] lr: 1.000e-02 eta: 1 day, 0:55:24 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 6.1013 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0920 loss: 2.0920 2022/06/29 18:11:35 - mmengine - INFO - Epoch(train) [14][1620/3757] lr: 1.000e-02 eta: 1 day, 0:55:16 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 5.1677 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1637 loss: 2.1637 2022/06/29 18:11:40 - mmengine - INFO - Epoch(train) [14][1640/3757] lr: 1.000e-02 eta: 1 day, 0:55:09 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 6.0992 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1061 loss: 2.1061 2022/06/29 18:11:47 - mmengine - INFO - Epoch(train) [14][1660/3757] lr: 1.000e-02 eta: 1 day, 0:55:08 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.5691 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2039 loss: 2.2039 2022/06/29 18:11:52 - mmengine - INFO - Epoch(train) [14][1680/3757] lr: 1.000e-02 eta: 1 day, 0:55:03 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 5.5832 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7481 loss: 2.7481 2022/06/29 18:11:57 - mmengine - INFO - Epoch(train) [14][1700/3757] lr: 1.000e-02 eta: 1 day, 0:54:55 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 6.1896 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1805 loss: 2.1805 2022/06/29 18:12:02 - mmengine - INFO - Epoch(train) [14][1720/3757] lr: 1.000e-02 eta: 1 day, 0:54:48 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 5.5499 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7206 loss: 1.7206 2022/06/29 18:12:08 - mmengine - INFO - Epoch(train) [14][1740/3757] lr: 1.000e-02 eta: 1 day, 0:54:42 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 5.3435 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9367 loss: 1.9367 2022/06/29 18:12:13 - mmengine - INFO - Epoch(train) [14][1760/3757] lr: 1.000e-02 eta: 1 day, 0:54:33 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 5.3326 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3122 loss: 2.3122 2022/06/29 18:12:18 - mmengine - INFO - Epoch(train) [14][1780/3757] lr: 1.000e-02 eta: 1 day, 0:54:26 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.5101 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5652 loss: 1.5652 2022/06/29 18:12:24 - mmengine - INFO - Epoch(train) [14][1800/3757] lr: 1.000e-02 eta: 1 day, 0:54:23 time: 0.271 data_time: 0.006 memory: 6404 grad_norm: 5.8910 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0205 loss: 2.0205 2022/06/29 18:12:29 - mmengine - INFO - Epoch(train) [14][1820/3757] lr: 1.000e-02 eta: 1 day, 0:54:15 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.3512 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3127 loss: 2.3127 2022/06/29 18:12:35 - mmengine - INFO - Epoch(train) [14][1840/3757] lr: 1.000e-02 eta: 1 day, 0:54:10 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.3246 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3976 loss: 2.3976 2022/06/29 18:12:41 - mmengine - INFO - Epoch(train) [14][1860/3757] lr: 1.000e-02 eta: 1 day, 0:54:07 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.3276 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3283 loss: 2.3283 2022/06/29 18:12:46 - mmengine - INFO - Epoch(train) [14][1880/3757] lr: 1.000e-02 eta: 1 day, 0:54:01 time: 0.242 data_time: 0.011 memory: 6404 grad_norm: 5.6619 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4365 loss: 2.4365 2022/06/29 18:12:52 - mmengine - INFO - Epoch(train) [14][1900/3757] lr: 1.000e-02 eta: 1 day, 0:53:54 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.9248 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8297 loss: 1.8297 2022/06/29 18:12:57 - mmengine - INFO - Epoch(train) [14][1920/3757] lr: 1.000e-02 eta: 1 day, 0:53:51 time: 0.297 data_time: 0.010 memory: 6404 grad_norm: 5.7439 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9359 loss: 1.9359 2022/06/29 18:13:02 - mmengine - INFO - Epoch(train) [14][1940/3757] lr: 1.000e-02 eta: 1 day, 0:53:42 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 6.1721 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1694 loss: 2.1694 2022/06/29 18:13:08 - mmengine - INFO - Epoch(train) [14][1960/3757] lr: 1.000e-02 eta: 1 day, 0:53:39 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 6.1227 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2351 loss: 2.2351 2022/06/29 18:13:14 - mmengine - INFO - Epoch(train) [14][1980/3757] lr: 1.000e-02 eta: 1 day, 0:53:33 time: 0.265 data_time: 0.010 memory: 6404 grad_norm: 5.0755 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4329 loss: 2.4329 2022/06/29 18:13:20 - mmengine - INFO - Epoch(train) [14][2000/3757] lr: 1.000e-02 eta: 1 day, 0:53:29 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.0883 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9219 loss: 1.9219 2022/06/29 18:13:25 - mmengine - INFO - Epoch(train) [14][2020/3757] lr: 1.000e-02 eta: 1 day, 0:53:21 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.2824 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4928 loss: 2.4928 2022/06/29 18:13:30 - mmengine - INFO - Epoch(train) [14][2040/3757] lr: 1.000e-02 eta: 1 day, 0:53:13 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 5.6137 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2479 loss: 2.2479 2022/06/29 18:13:35 - mmengine - INFO - Epoch(train) [14][2060/3757] lr: 1.000e-02 eta: 1 day, 0:53:06 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 5.5981 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9988 loss: 1.9988 2022/06/29 18:13:41 - mmengine - INFO - Epoch(train) [14][2080/3757] lr: 1.000e-02 eta: 1 day, 0:53:01 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 4.8029 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5743 loss: 2.5743 2022/06/29 18:13:46 - mmengine - INFO - Epoch(train) [14][2100/3757] lr: 1.000e-02 eta: 1 day, 0:52:57 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 5.3775 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7778 loss: 1.7778 2022/06/29 18:13:52 - mmengine - INFO - Epoch(train) [14][2120/3757] lr: 1.000e-02 eta: 1 day, 0:52:50 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.7621 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3415 loss: 2.3415 2022/06/29 18:13:57 - mmengine - INFO - Epoch(train) [14][2140/3757] lr: 1.000e-02 eta: 1 day, 0:52:46 time: 0.347 data_time: 0.007 memory: 6404 grad_norm: 5.8854 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8032 loss: 1.8032 2022/06/29 18:14:02 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 18:14:03 - mmengine - INFO - Epoch(train) [14][2160/3757] lr: 1.000e-02 eta: 1 day, 0:52:38 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 6.3124 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3794 loss: 2.3794 2022/06/29 18:14:08 - mmengine - INFO - Epoch(train) [14][2180/3757] lr: 1.000e-02 eta: 1 day, 0:52:31 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.1775 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0283 loss: 2.0283 2022/06/29 18:14:13 - mmengine - INFO - Epoch(train) [14][2200/3757] lr: 1.000e-02 eta: 1 day, 0:52:24 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.2395 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3195 loss: 2.3195 2022/06/29 18:14:19 - mmengine - INFO - Epoch(train) [14][2220/3757] lr: 1.000e-02 eta: 1 day, 0:52:21 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 5.6818 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2358 loss: 2.2358 2022/06/29 18:14:24 - mmengine - INFO - Epoch(train) [14][2240/3757] lr: 1.000e-02 eta: 1 day, 0:52:13 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 4.9165 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9141 loss: 1.9141 2022/06/29 18:14:30 - mmengine - INFO - Epoch(train) [14][2260/3757] lr: 1.000e-02 eta: 1 day, 0:52:09 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.6498 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0161 loss: 2.0161 2022/06/29 18:14:36 - mmengine - INFO - Epoch(train) [14][2280/3757] lr: 1.000e-02 eta: 1 day, 0:52:04 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 6.1038 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1739 loss: 2.1739 2022/06/29 18:14:41 - mmengine - INFO - Epoch(train) [14][2300/3757] lr: 1.000e-02 eta: 1 day, 0:51:58 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.5036 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6214 loss: 2.6214 2022/06/29 18:14:46 - mmengine - INFO - Epoch(train) [14][2320/3757] lr: 1.000e-02 eta: 1 day, 0:51:51 time: 0.270 data_time: 0.015 memory: 6404 grad_norm: 5.6095 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6647 loss: 2.6647 2022/06/29 18:14:52 - mmengine - INFO - Epoch(train) [14][2340/3757] lr: 1.000e-02 eta: 1 day, 0:51:44 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 5.1704 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1914 loss: 2.1914 2022/06/29 18:14:57 - mmengine - INFO - Epoch(train) [14][2360/3757] lr: 1.000e-02 eta: 1 day, 0:51:35 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 5.5994 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0076 loss: 2.0076 2022/06/29 18:15:03 - mmengine - INFO - Epoch(train) [14][2380/3757] lr: 1.000e-02 eta: 1 day, 0:51:32 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.5866 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2579 loss: 2.2579 2022/06/29 18:15:08 - mmengine - INFO - Epoch(train) [14][2400/3757] lr: 1.000e-02 eta: 1 day, 0:51:26 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 5.2887 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7904 loss: 1.7904 2022/06/29 18:15:13 - mmengine - INFO - Epoch(train) [14][2420/3757] lr: 1.000e-02 eta: 1 day, 0:51:20 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 4.4675 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9094 loss: 1.9094 2022/06/29 18:15:19 - mmengine - INFO - Epoch(train) [14][2440/3757] lr: 1.000e-02 eta: 1 day, 0:51:17 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.2360 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.0885 loss: 2.0885 2022/06/29 18:15:24 - mmengine - INFO - Epoch(train) [14][2460/3757] lr: 1.000e-02 eta: 1 day, 0:51:09 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.6060 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8719 loss: 1.8719 2022/06/29 18:15:30 - mmengine - INFO - Epoch(train) [14][2480/3757] lr: 1.000e-02 eta: 1 day, 0:51:01 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.3135 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0796 loss: 2.0796 2022/06/29 18:15:35 - mmengine - INFO - Epoch(train) [14][2500/3757] lr: 1.000e-02 eta: 1 day, 0:50:56 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 5.4231 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1370 loss: 2.1370 2022/06/29 18:15:41 - mmengine - INFO - Epoch(train) [14][2520/3757] lr: 1.000e-02 eta: 1 day, 0:50:51 time: 0.270 data_time: 0.007 memory: 6404 grad_norm: 5.9669 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9120 loss: 1.9120 2022/06/29 18:15:46 - mmengine - INFO - Epoch(train) [14][2540/3757] lr: 1.000e-02 eta: 1 day, 0:50:45 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.0592 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9291 loss: 1.9291 2022/06/29 18:15:52 - mmengine - INFO - Epoch(train) [14][2560/3757] lr: 1.000e-02 eta: 1 day, 0:50:38 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 5.6499 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1542 loss: 2.1542 2022/06/29 18:15:57 - mmengine - INFO - Epoch(train) [14][2580/3757] lr: 1.000e-02 eta: 1 day, 0:50:33 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.7602 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2878 loss: 2.2878 2022/06/29 18:16:03 - mmengine - INFO - Epoch(train) [14][2600/3757] lr: 1.000e-02 eta: 1 day, 0:50:29 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.6685 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4780 loss: 2.4780 2022/06/29 18:16:08 - mmengine - INFO - Epoch(train) [14][2620/3757] lr: 1.000e-02 eta: 1 day, 0:50:24 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.6284 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9597 loss: 1.9597 2022/06/29 18:16:14 - mmengine - INFO - Epoch(train) [14][2640/3757] lr: 1.000e-02 eta: 1 day, 0:50:17 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.4096 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1700 loss: 2.1700 2022/06/29 18:16:19 - mmengine - INFO - Epoch(train) [14][2660/3757] lr: 1.000e-02 eta: 1 day, 0:50:11 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 5.9492 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8755 loss: 1.8755 2022/06/29 18:16:24 - mmengine - INFO - Epoch(train) [14][2680/3757] lr: 1.000e-02 eta: 1 day, 0:50:03 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 5.1708 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0988 loss: 2.0988 2022/06/29 18:16:30 - mmengine - INFO - Epoch(train) [14][2700/3757] lr: 1.000e-02 eta: 1 day, 0:49:59 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 5.5396 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4490 loss: 2.4490 2022/06/29 18:16:36 - mmengine - INFO - Epoch(train) [14][2720/3757] lr: 1.000e-02 eta: 1 day, 0:49:53 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 6.0183 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.5195 loss: 2.5195 2022/06/29 18:16:41 - mmengine - INFO - Epoch(train) [14][2740/3757] lr: 1.000e-02 eta: 1 day, 0:49:46 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.3789 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9889 loss: 1.9889 2022/06/29 18:16:46 - mmengine - INFO - Epoch(train) [14][2760/3757] lr: 1.000e-02 eta: 1 day, 0:49:39 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.1203 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2483 loss: 2.2483 2022/06/29 18:16:51 - mmengine - INFO - Epoch(train) [14][2780/3757] lr: 1.000e-02 eta: 1 day, 0:49:31 time: 0.249 data_time: 0.015 memory: 6404 grad_norm: 5.5882 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8291 loss: 2.8291 2022/06/29 18:16:57 - mmengine - INFO - Epoch(train) [14][2800/3757] lr: 1.000e-02 eta: 1 day, 0:49:26 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.5274 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4110 loss: 2.4110 2022/06/29 18:17:03 - mmengine - INFO - Epoch(train) [14][2820/3757] lr: 1.000e-02 eta: 1 day, 0:49:24 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 4.8502 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9586 loss: 1.9586 2022/06/29 18:17:08 - mmengine - INFO - Epoch(train) [14][2840/3757] lr: 1.000e-02 eta: 1 day, 0:49:17 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 6.0276 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2910 loss: 2.2910 2022/06/29 18:17:14 - mmengine - INFO - Epoch(train) [14][2860/3757] lr: 1.000e-02 eta: 1 day, 0:49:12 time: 0.260 data_time: 0.015 memory: 6404 grad_norm: 5.4501 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8963 loss: 1.8963 2022/06/29 18:17:19 - mmengine - INFO - Epoch(train) [14][2880/3757] lr: 1.000e-02 eta: 1 day, 0:49:06 time: 0.243 data_time: 0.023 memory: 6404 grad_norm: 5.4368 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0104 loss: 2.0104 2022/06/29 18:17:25 - mmengine - INFO - Epoch(train) [14][2900/3757] lr: 1.000e-02 eta: 1 day, 0:48:59 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 5.8727 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3859 loss: 2.3859 2022/06/29 18:17:30 - mmengine - INFO - Epoch(train) [14][2920/3757] lr: 1.000e-02 eta: 1 day, 0:48:52 time: 0.252 data_time: 0.017 memory: 6404 grad_norm: 5.6997 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0969 loss: 2.0969 2022/06/29 18:17:35 - mmengine - INFO - Epoch(train) [14][2940/3757] lr: 1.000e-02 eta: 1 day, 0:48:46 time: 0.273 data_time: 0.015 memory: 6404 grad_norm: 6.1379 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1031 loss: 2.1031 2022/06/29 18:17:40 - mmengine - INFO - Epoch(train) [14][2960/3757] lr: 1.000e-02 eta: 1 day, 0:48:38 time: 0.241 data_time: 0.027 memory: 6404 grad_norm: 6.1254 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7345 loss: 1.7345 2022/06/29 18:17:45 - mmengine - INFO - Epoch(train) [14][2980/3757] lr: 1.000e-02 eta: 1 day, 0:48:30 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.6126 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1833 loss: 2.1833 2022/06/29 18:17:51 - mmengine - INFO - Epoch(train) [14][3000/3757] lr: 1.000e-02 eta: 1 day, 0:48:25 time: 0.289 data_time: 0.010 memory: 6404 grad_norm: 5.8290 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8393 loss: 1.8393 2022/06/29 18:17:56 - mmengine - INFO - Epoch(train) [14][3020/3757] lr: 1.000e-02 eta: 1 day, 0:48:19 time: 0.244 data_time: 0.014 memory: 6404 grad_norm: 5.3705 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8233 loss: 1.8233 2022/06/29 18:18:02 - mmengine - INFO - Epoch(train) [14][3040/3757] lr: 1.000e-02 eta: 1 day, 0:48:13 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 4.8969 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9480 loss: 1.9480 2022/06/29 18:18:08 - mmengine - INFO - Epoch(train) [14][3060/3757] lr: 1.000e-02 eta: 1 day, 0:48:11 time: 0.365 data_time: 0.009 memory: 6404 grad_norm: 4.6438 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1312 loss: 2.1312 2022/06/29 18:18:13 - mmengine - INFO - Epoch(train) [14][3080/3757] lr: 1.000e-02 eta: 1 day, 0:48:03 time: 0.241 data_time: 0.008 memory: 6404 grad_norm: 5.7840 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7215 loss: 2.7215 2022/06/29 18:18:19 - mmengine - INFO - Epoch(train) [14][3100/3757] lr: 1.000e-02 eta: 1 day, 0:48:00 time: 0.240 data_time: 0.008 memory: 6404 grad_norm: 5.8097 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0539 loss: 2.0539 2022/06/29 18:18:24 - mmengine - INFO - Epoch(train) [14][3120/3757] lr: 1.000e-02 eta: 1 day, 0:47:54 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 6.0346 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3934 loss: 2.3934 2022/06/29 18:18:30 - mmengine - INFO - Epoch(train) [14][3140/3757] lr: 1.000e-02 eta: 1 day, 0:47:47 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 4.9115 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3544 loss: 2.3544 2022/06/29 18:18:35 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 18:18:35 - mmengine - INFO - Epoch(train) [14][3160/3757] lr: 1.000e-02 eta: 1 day, 0:47:41 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 4.9677 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2879 loss: 2.2879 2022/06/29 18:18:41 - mmengine - INFO - Epoch(train) [14][3180/3757] lr: 1.000e-02 eta: 1 day, 0:47:34 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.0581 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5785 loss: 2.5785 2022/06/29 18:18:46 - mmengine - INFO - Epoch(train) [14][3200/3757] lr: 1.000e-02 eta: 1 day, 0:47:25 time: 0.253 data_time: 0.017 memory: 6404 grad_norm: 5.1584 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5090 loss: 2.5090 2022/06/29 18:18:51 - mmengine - INFO - Epoch(train) [14][3220/3757] lr: 1.000e-02 eta: 1 day, 0:47:20 time: 0.241 data_time: 0.010 memory: 6404 grad_norm: 5.7117 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2028 loss: 2.2028 2022/06/29 18:18:57 - mmengine - INFO - Epoch(train) [14][3240/3757] lr: 1.000e-02 eta: 1 day, 0:47:16 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 5.4220 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1422 loss: 2.1422 2022/06/29 18:19:02 - mmengine - INFO - Epoch(train) [14][3260/3757] lr: 1.000e-02 eta: 1 day, 0:47:11 time: 0.256 data_time: 0.018 memory: 6404 grad_norm: 5.6216 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1221 loss: 2.1221 2022/06/29 18:19:08 - mmengine - INFO - Epoch(train) [14][3280/3757] lr: 1.000e-02 eta: 1 day, 0:47:07 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.3888 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4138 loss: 2.4138 2022/06/29 18:19:14 - mmengine - INFO - Epoch(train) [14][3300/3757] lr: 1.000e-02 eta: 1 day, 0:47:02 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.5652 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3708 loss: 2.3708 2022/06/29 18:19:19 - mmengine - INFO - Epoch(train) [14][3320/3757] lr: 1.000e-02 eta: 1 day, 0:46:54 time: 0.254 data_time: 0.022 memory: 6404 grad_norm: 5.9909 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8035 loss: 1.8035 2022/06/29 18:19:25 - mmengine - INFO - Epoch(train) [14][3340/3757] lr: 1.000e-02 eta: 1 day, 0:46:50 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 5.5976 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2045 loss: 2.2045 2022/06/29 18:19:30 - mmengine - INFO - Epoch(train) [14][3360/3757] lr: 1.000e-02 eta: 1 day, 0:46:45 time: 0.251 data_time: 0.005 memory: 6404 grad_norm: 5.4459 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4661 loss: 2.4661 2022/06/29 18:19:36 - mmengine - INFO - Epoch(train) [14][3380/3757] lr: 1.000e-02 eta: 1 day, 0:46:41 time: 0.253 data_time: 0.020 memory: 6404 grad_norm: 5.6397 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3698 loss: 2.3698 2022/06/29 18:19:42 - mmengine - INFO - Epoch(train) [14][3400/3757] lr: 1.000e-02 eta: 1 day, 0:46:36 time: 0.271 data_time: 0.011 memory: 6404 grad_norm: 5.9813 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7737 loss: 1.7737 2022/06/29 18:19:47 - mmengine - INFO - Epoch(train) [14][3420/3757] lr: 1.000e-02 eta: 1 day, 0:46:29 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 5.9988 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1707 loss: 2.1707 2022/06/29 18:19:53 - mmengine - INFO - Epoch(train) [14][3440/3757] lr: 1.000e-02 eta: 1 day, 0:46:24 time: 0.265 data_time: 0.009 memory: 6404 grad_norm: 5.6967 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6549 loss: 1.6549 2022/06/29 18:19:58 - mmengine - INFO - Epoch(train) [14][3460/3757] lr: 1.000e-02 eta: 1 day, 0:46:17 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.4155 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7429 loss: 1.7429 2022/06/29 18:20:03 - mmengine - INFO - Epoch(train) [14][3480/3757] lr: 1.000e-02 eta: 1 day, 0:46:10 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.2573 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4895 loss: 2.4895 2022/06/29 18:20:08 - mmengine - INFO - Epoch(train) [14][3500/3757] lr: 1.000e-02 eta: 1 day, 0:46:03 time: 0.314 data_time: 0.035 memory: 6404 grad_norm: 5.4033 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8708 loss: 2.8708 2022/06/29 18:20:14 - mmengine - INFO - Epoch(train) [14][3520/3757] lr: 1.000e-02 eta: 1 day, 0:45:58 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 4.6334 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8025 loss: 1.8025 2022/06/29 18:20:19 - mmengine - INFO - Epoch(train) [14][3540/3757] lr: 1.000e-02 eta: 1 day, 0:45:51 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.5567 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1078 loss: 2.1078 2022/06/29 18:20:24 - mmengine - INFO - Epoch(train) [14][3560/3757] lr: 1.000e-02 eta: 1 day, 0:45:43 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 5.3440 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.0092 loss: 2.0092 2022/06/29 18:20:30 - mmengine - INFO - Epoch(train) [14][3580/3757] lr: 1.000e-02 eta: 1 day, 0:45:35 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 4.9752 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7150 loss: 1.7150 2022/06/29 18:20:35 - mmengine - INFO - Epoch(train) [14][3600/3757] lr: 1.000e-02 eta: 1 day, 0:45:31 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.6275 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9501 loss: 1.9501 2022/06/29 18:20:41 - mmengine - INFO - Epoch(train) [14][3620/3757] lr: 1.000e-02 eta: 1 day, 0:45:25 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.1341 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4228 loss: 2.4228 2022/06/29 18:20:46 - mmengine - INFO - Epoch(train) [14][3640/3757] lr: 1.000e-02 eta: 1 day, 0:45:20 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 5.8795 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9278 loss: 1.9278 2022/06/29 18:20:52 - mmengine - INFO - Epoch(train) [14][3660/3757] lr: 1.000e-02 eta: 1 day, 0:45:16 time: 0.245 data_time: 0.018 memory: 6404 grad_norm: 5.8173 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1396 loss: 2.1396 2022/06/29 18:20:57 - mmengine - INFO - Epoch(train) [14][3680/3757] lr: 1.000e-02 eta: 1 day, 0:45:10 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 5.0051 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8449 loss: 1.8449 2022/06/29 18:21:03 - mmengine - INFO - Epoch(train) [14][3700/3757] lr: 1.000e-02 eta: 1 day, 0:45:06 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 4.8455 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9573 loss: 1.9573 2022/06/29 18:21:09 - mmengine - INFO - Epoch(train) [14][3720/3757] lr: 1.000e-02 eta: 1 day, 0:45:01 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 4.7612 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2658 loss: 2.2658 2022/06/29 18:21:14 - mmengine - INFO - Epoch(train) [14][3740/3757] lr: 1.000e-02 eta: 1 day, 0:44:55 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.5040 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0313 loss: 2.0313 2022/06/29 18:21:18 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 18:21:26 - mmengine - INFO - Epoch(val) [14][20/310] eta: 0:01:39 time: 0.094 data_time: 0.020 memory: 6404 2022/06/29 18:21:32 - mmengine - INFO - Epoch(val) [14][40/310] eta: 0:01:17 time: 0.239 data_time: 0.166 memory: 1479 2022/06/29 18:21:35 - mmengine - INFO - Epoch(val) [14][60/310] eta: 0:00:33 time: 0.089 data_time: 0.010 memory: 1479 2022/06/29 18:21:42 - mmengine - INFO - Epoch(val) [14][80/310] eta: 0:01:14 time: 0.093 data_time: 0.006 memory: 1479 2022/06/29 18:21:48 - mmengine - INFO - Epoch(val) [14][100/310] eta: 0:01:02 time: 0.980 data_time: 0.902 memory: 1479 2022/06/29 18:21:52 - mmengine - INFO - Epoch(val) [14][120/310] eta: 0:00:30 time: 0.084 data_time: 0.006 memory: 1479 2022/06/29 18:21:58 - mmengine - INFO - Epoch(val) [14][140/310] eta: 0:00:55 time: 0.079 data_time: 0.006 memory: 1479 2022/06/29 18:22:05 - mmengine - INFO - Epoch(val) [14][160/310] eta: 0:00:47 time: 1.760 data_time: 1.676 memory: 1479 2022/06/29 18:22:09 - mmengine - INFO - Epoch(val) [14][180/310] eta: 0:00:39 time: 0.080 data_time: 0.006 memory: 1479 2022/06/29 18:22:15 - mmengine - INFO - Epoch(val) [14][200/310] eta: 0:00:32 time: 0.077 data_time: 0.005 memory: 1479 2022/06/29 18:22:20 - mmengine - INFO - Epoch(val) [14][220/310] eta: 0:00:26 time: 0.246 data_time: 0.159 memory: 1479 2022/06/29 18:22:24 - mmengine - INFO - Epoch(val) [14][240/310] eta: 0:00:19 time: 0.082 data_time: 0.006 memory: 1479 2022/06/29 18:22:30 - mmengine - INFO - Epoch(val) [14][260/310] eta: 0:00:15 time: 0.078 data_time: 0.005 memory: 1479 2022/06/29 18:22:37 - mmengine - INFO - Epoch(val) [14][280/310] eta: 0:00:09 time: 0.494 data_time: 0.407 memory: 1479 2022/06/29 18:22:40 - mmengine - INFO - Epoch(val) [14][300/310] eta: 0:00:02 time: 0.084 data_time: 0.009 memory: 1479 2022/06/29 18:22:42 - mmengine - INFO - Epoch(val) [14][310/310] acc/top1: 0.5347 acc/top5: 0.7810 acc/mean1: 0.5347 2022/06/29 18:22:51 - mmengine - INFO - Epoch(train) [15][20/3757] lr: 1.000e-02 eta: 1 day, 0:44:49 time: 0.241 data_time: 0.009 memory: 6404 grad_norm: 5.0508 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7451 loss: 1.7451 2022/06/29 18:22:57 - mmengine - INFO - Epoch(train) [15][40/3757] lr: 1.000e-02 eta: 1 day, 0:44:46 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 6.4306 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2322 loss: 2.2322 2022/06/29 18:23:02 - mmengine - INFO - Epoch(train) [15][60/3757] lr: 1.000e-02 eta: 1 day, 0:44:40 time: 0.240 data_time: 0.013 memory: 6404 grad_norm: 5.8798 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1100 loss: 2.1100 2022/06/29 18:23:08 - mmengine - INFO - Epoch(train) [15][80/3757] lr: 1.000e-02 eta: 1 day, 0:44:37 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 5.2555 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0088 loss: 2.0088 2022/06/29 18:23:14 - mmengine - INFO - Epoch(train) [15][100/3757] lr: 1.000e-02 eta: 1 day, 0:44:31 time: 0.247 data_time: 0.015 memory: 6404 grad_norm: 5.0325 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2109 loss: 2.2109 2022/06/29 18:23:19 - mmengine - INFO - Epoch(train) [15][120/3757] lr: 1.000e-02 eta: 1 day, 0:44:24 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.1823 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3465 loss: 2.3465 2022/06/29 18:23:25 - mmengine - INFO - Epoch(train) [15][140/3757] lr: 1.000e-02 eta: 1 day, 0:44:20 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.4436 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2681 loss: 2.2681 2022/06/29 18:23:30 - mmengine - INFO - Epoch(train) [15][160/3757] lr: 1.000e-02 eta: 1 day, 0:44:16 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 4.8355 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6731 loss: 1.6731 2022/06/29 18:23:36 - mmengine - INFO - Epoch(train) [15][180/3757] lr: 1.000e-02 eta: 1 day, 0:44:08 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 6.0530 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0736 loss: 2.0736 2022/06/29 18:23:41 - mmengine - INFO - Epoch(train) [15][200/3757] lr: 1.000e-02 eta: 1 day, 0:44:04 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 5.4794 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2251 loss: 2.2251 2022/06/29 18:23:47 - mmengine - INFO - Epoch(train) [15][220/3757] lr: 1.000e-02 eta: 1 day, 0:43:57 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 5.2023 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2139 loss: 2.2139 2022/06/29 18:23:52 - mmengine - INFO - Epoch(train) [15][240/3757] lr: 1.000e-02 eta: 1 day, 0:43:50 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.4250 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8592 loss: 1.8592 2022/06/29 18:23:57 - mmengine - INFO - Epoch(train) [15][260/3757] lr: 1.000e-02 eta: 1 day, 0:43:44 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.6573 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4360 loss: 2.4360 2022/06/29 18:24:02 - mmengine - INFO - Epoch(train) [15][280/3757] lr: 1.000e-02 eta: 1 day, 0:43:36 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.3074 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1587 loss: 2.1587 2022/06/29 18:24:08 - mmengine - INFO - Epoch(train) [15][300/3757] lr: 1.000e-02 eta: 1 day, 0:43:32 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 4.4675 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8873 loss: 1.8873 2022/06/29 18:24:14 - mmengine - INFO - Epoch(train) [15][320/3757] lr: 1.000e-02 eta: 1 day, 0:43:27 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.9419 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0787 loss: 2.0787 2022/06/29 18:24:20 - mmengine - INFO - Epoch(train) [15][340/3757] lr: 1.000e-02 eta: 1 day, 0:43:23 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 4.9215 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1002 loss: 2.1002 2022/06/29 18:24:25 - mmengine - INFO - Epoch(train) [15][360/3757] lr: 1.000e-02 eta: 1 day, 0:43:15 time: 0.241 data_time: 0.009 memory: 6404 grad_norm: 4.9550 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1783 loss: 2.1783 2022/06/29 18:24:30 - mmengine - INFO - Epoch(train) [15][380/3757] lr: 1.000e-02 eta: 1 day, 0:43:09 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.0695 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0111 loss: 2.0111 2022/06/29 18:24:36 - mmengine - INFO - Epoch(train) [15][400/3757] lr: 1.000e-02 eta: 1 day, 0:43:04 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 5.7112 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9157 loss: 1.9157 2022/06/29 18:24:36 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 18:24:41 - mmengine - INFO - Epoch(train) [15][420/3757] lr: 1.000e-02 eta: 1 day, 0:42:58 time: 0.243 data_time: 0.025 memory: 6404 grad_norm: 5.6135 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5030 loss: 2.5030 2022/06/29 18:24:47 - mmengine - INFO - Epoch(train) [15][440/3757] lr: 1.000e-02 eta: 1 day, 0:42:52 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 6.4596 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2249 loss: 2.2249 2022/06/29 18:24:52 - mmengine - INFO - Epoch(train) [15][460/3757] lr: 1.000e-02 eta: 1 day, 0:42:46 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 5.8007 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1285 loss: 2.1285 2022/06/29 18:24:58 - mmengine - INFO - Epoch(train) [15][480/3757] lr: 1.000e-02 eta: 1 day, 0:42:41 time: 0.246 data_time: 0.015 memory: 6404 grad_norm: 5.0272 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6120 loss: 1.6120 2022/06/29 18:25:04 - mmengine - INFO - Epoch(train) [15][500/3757] lr: 1.000e-02 eta: 1 day, 0:42:38 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.6040 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0811 loss: 2.0811 2022/06/29 18:25:09 - mmengine - INFO - Epoch(train) [15][520/3757] lr: 1.000e-02 eta: 1 day, 0:42:34 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 4.3748 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.5250 loss: 2.5250 2022/06/29 18:25:14 - mmengine - INFO - Epoch(train) [15][540/3757] lr: 1.000e-02 eta: 1 day, 0:42:26 time: 0.246 data_time: 0.012 memory: 6404 grad_norm: 5.2920 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1799 loss: 2.1799 2022/06/29 18:25:20 - mmengine - INFO - Epoch(train) [15][560/3757] lr: 1.000e-02 eta: 1 day, 0:42:21 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 5.7836 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1065 loss: 2.1065 2022/06/29 18:25:26 - mmengine - INFO - Epoch(train) [15][580/3757] lr: 1.000e-02 eta: 1 day, 0:42:15 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 5.3545 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6755 loss: 2.6755 2022/06/29 18:25:32 - mmengine - INFO - Epoch(train) [15][600/3757] lr: 1.000e-02 eta: 1 day, 0:42:14 time: 0.242 data_time: 0.009 memory: 6404 grad_norm: 5.5769 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3162 loss: 2.3162 2022/06/29 18:25:37 - mmengine - INFO - Epoch(train) [15][620/3757] lr: 1.000e-02 eta: 1 day, 0:42:06 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 5.7281 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8130 loss: 1.8130 2022/06/29 18:25:42 - mmengine - INFO - Epoch(train) [15][640/3757] lr: 1.000e-02 eta: 1 day, 0:41:59 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 4.9713 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9513 loss: 1.9513 2022/06/29 18:25:48 - mmengine - INFO - Epoch(train) [15][660/3757] lr: 1.000e-02 eta: 1 day, 0:41:54 time: 0.248 data_time: 0.020 memory: 6404 grad_norm: 5.2375 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1902 loss: 2.1902 2022/06/29 18:25:53 - mmengine - INFO - Epoch(train) [15][680/3757] lr: 1.000e-02 eta: 1 day, 0:41:46 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 5.5314 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2713 loss: 2.2713 2022/06/29 18:25:59 - mmengine - INFO - Epoch(train) [15][700/3757] lr: 1.000e-02 eta: 1 day, 0:41:43 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 5.2065 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1811 loss: 2.1811 2022/06/29 18:26:05 - mmengine - INFO - Epoch(train) [15][720/3757] lr: 1.000e-02 eta: 1 day, 0:41:39 time: 0.247 data_time: 0.014 memory: 6404 grad_norm: 5.3111 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1591 loss: 2.1591 2022/06/29 18:26:10 - mmengine - INFO - Epoch(train) [15][740/3757] lr: 1.000e-02 eta: 1 day, 0:41:32 time: 0.241 data_time: 0.008 memory: 6404 grad_norm: 5.8037 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1499 loss: 2.1499 2022/06/29 18:26:15 - mmengine - INFO - Epoch(train) [15][760/3757] lr: 1.000e-02 eta: 1 day, 0:41:26 time: 0.273 data_time: 0.008 memory: 6404 grad_norm: 5.5279 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2979 loss: 2.2979 2022/06/29 18:26:22 - mmengine - INFO - Epoch(train) [15][780/3757] lr: 1.000e-02 eta: 1 day, 0:41:26 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.8984 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1323 loss: 2.1323 2022/06/29 18:26:27 - mmengine - INFO - Epoch(train) [15][800/3757] lr: 1.000e-02 eta: 1 day, 0:41:18 time: 0.270 data_time: 0.021 memory: 6404 grad_norm: 5.7609 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0370 loss: 2.0370 2022/06/29 18:26:32 - mmengine - INFO - Epoch(train) [15][820/3757] lr: 1.000e-02 eta: 1 day, 0:41:10 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 5.3905 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4029 loss: 2.4029 2022/06/29 18:26:37 - mmengine - INFO - Epoch(train) [15][840/3757] lr: 1.000e-02 eta: 1 day, 0:41:02 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.1864 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0859 loss: 2.0859 2022/06/29 18:26:42 - mmengine - INFO - Epoch(train) [15][860/3757] lr: 1.000e-02 eta: 1 day, 0:40:54 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.0348 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0206 loss: 2.0206 2022/06/29 18:26:47 - mmengine - INFO - Epoch(train) [15][880/3757] lr: 1.000e-02 eta: 1 day, 0:40:46 time: 0.243 data_time: 0.018 memory: 6404 grad_norm: 6.2237 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8977 loss: 1.8977 2022/06/29 18:26:53 - mmengine - INFO - Epoch(train) [15][900/3757] lr: 1.000e-02 eta: 1 day, 0:40:44 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 5.3442 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3727 loss: 2.3727 2022/06/29 18:26:59 - mmengine - INFO - Epoch(train) [15][920/3757] lr: 1.000e-02 eta: 1 day, 0:40:39 time: 0.355 data_time: 0.090 memory: 6404 grad_norm: 6.0558 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1074 loss: 2.1074 2022/06/29 18:27:04 - mmengine - INFO - Epoch(train) [15][940/3757] lr: 1.000e-02 eta: 1 day, 0:40:33 time: 0.260 data_time: 0.006 memory: 6404 grad_norm: 5.7527 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9215 loss: 1.9215 2022/06/29 18:27:10 - mmengine - INFO - Epoch(train) [15][960/3757] lr: 1.000e-02 eta: 1 day, 0:40:29 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 5.9338 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1752 loss: 2.1752 2022/06/29 18:27:15 - mmengine - INFO - Epoch(train) [15][980/3757] lr: 1.000e-02 eta: 1 day, 0:40:21 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.3793 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2286 loss: 2.2286 2022/06/29 18:27:21 - mmengine - INFO - Epoch(train) [15][1000/3757] lr: 1.000e-02 eta: 1 day, 0:40:18 time: 0.278 data_time: 0.007 memory: 6404 grad_norm: 5.6338 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5617 loss: 2.5617 2022/06/29 18:27:26 - mmengine - INFO - Epoch(train) [15][1020/3757] lr: 1.000e-02 eta: 1 day, 0:40:10 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 5.8175 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4846 loss: 2.4846 2022/06/29 18:27:32 - mmengine - INFO - Epoch(train) [15][1040/3757] lr: 1.000e-02 eta: 1 day, 0:40:08 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.7020 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2404 loss: 2.2404 2022/06/29 18:27:38 - mmengine - INFO - Epoch(train) [15][1060/3757] lr: 1.000e-02 eta: 1 day, 0:40:00 time: 0.443 data_time: 0.011 memory: 6404 grad_norm: 5.0991 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9443 loss: 1.9443 2022/06/29 18:27:43 - mmengine - INFO - Epoch(train) [15][1080/3757] lr: 1.000e-02 eta: 1 day, 0:39:53 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 5.6207 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6346 loss: 2.6346 2022/06/29 18:27:48 - mmengine - INFO - Epoch(train) [15][1100/3757] lr: 1.000e-02 eta: 1 day, 0:39:47 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 5.1591 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5530 loss: 2.5530 2022/06/29 18:27:54 - mmengine - INFO - Epoch(train) [15][1120/3757] lr: 1.000e-02 eta: 1 day, 0:39:43 time: 0.616 data_time: 0.007 memory: 6404 grad_norm: 5.1583 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9799 loss: 1.9799 2022/06/29 18:27:59 - mmengine - INFO - Epoch(train) [15][1140/3757] lr: 1.000e-02 eta: 1 day, 0:39:35 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 5.4095 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3555 loss: 2.3555 2022/06/29 18:28:05 - mmengine - INFO - Epoch(train) [15][1160/3757] lr: 1.000e-02 eta: 1 day, 0:39:29 time: 0.520 data_time: 0.010 memory: 6404 grad_norm: 5.6153 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2015 loss: 2.2015 2022/06/29 18:28:11 - mmengine - INFO - Epoch(train) [15][1180/3757] lr: 1.000e-02 eta: 1 day, 0:39:26 time: 0.477 data_time: 0.006 memory: 6404 grad_norm: 6.1122 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6450 loss: 2.6450 2022/06/29 18:28:16 - mmengine - INFO - Epoch(train) [15][1200/3757] lr: 1.000e-02 eta: 1 day, 0:39:19 time: 0.283 data_time: 0.011 memory: 6404 grad_norm: 4.8944 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2415 loss: 2.2415 2022/06/29 18:28:22 - mmengine - INFO - Epoch(train) [15][1220/3757] lr: 1.000e-02 eta: 1 day, 0:39:15 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 5.8347 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4215 loss: 2.4215 2022/06/29 18:28:27 - mmengine - INFO - Epoch(train) [15][1240/3757] lr: 1.000e-02 eta: 1 day, 0:39:11 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.0995 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7005 loss: 1.7005 2022/06/29 18:28:33 - mmengine - INFO - Epoch(train) [15][1260/3757] lr: 1.000e-02 eta: 1 day, 0:39:05 time: 0.260 data_time: 0.014 memory: 6404 grad_norm: 5.6253 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2578 loss: 2.2578 2022/06/29 18:28:38 - mmengine - INFO - Epoch(train) [15][1280/3757] lr: 1.000e-02 eta: 1 day, 0:38:58 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 5.4396 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0947 loss: 2.0947 2022/06/29 18:28:44 - mmengine - INFO - Epoch(train) [15][1300/3757] lr: 1.000e-02 eta: 1 day, 0:38:53 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 4.9846 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8596 loss: 1.8596 2022/06/29 18:28:49 - mmengine - INFO - Epoch(train) [15][1320/3757] lr: 1.000e-02 eta: 1 day, 0:38:47 time: 0.536 data_time: 0.011 memory: 6404 grad_norm: 5.3052 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9503 loss: 1.9503 2022/06/29 18:28:54 - mmengine - INFO - Epoch(train) [15][1340/3757] lr: 1.000e-02 eta: 1 day, 0:38:39 time: 0.244 data_time: 0.012 memory: 6404 grad_norm: 5.4297 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0210 loss: 2.0210 2022/06/29 18:29:00 - mmengine - INFO - Epoch(train) [15][1360/3757] lr: 1.000e-02 eta: 1 day, 0:38:33 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.2947 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9917 loss: 1.9917 2022/06/29 18:29:05 - mmengine - INFO - Epoch(train) [15][1380/3757] lr: 1.000e-02 eta: 1 day, 0:38:26 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.0593 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4745 loss: 2.4745 2022/06/29 18:29:10 - mmengine - INFO - Epoch(train) [15][1400/3757] lr: 1.000e-02 eta: 1 day, 0:38:20 time: 0.244 data_time: 0.012 memory: 6404 grad_norm: 6.0032 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6176 loss: 2.6176 2022/06/29 18:29:11 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 18:29:16 - mmengine - INFO - Epoch(train) [15][1420/3757] lr: 1.000e-02 eta: 1 day, 0:38:15 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.3645 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1557 loss: 2.1557 2022/06/29 18:29:21 - mmengine - INFO - Epoch(train) [15][1440/3757] lr: 1.000e-02 eta: 1 day, 0:38:08 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.9690 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2618 loss: 2.2618 2022/06/29 18:29:26 - mmengine - INFO - Epoch(train) [15][1460/3757] lr: 1.000e-02 eta: 1 day, 0:38:01 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 5.5143 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1851 loss: 2.1851 2022/06/29 18:29:32 - mmengine - INFO - Epoch(train) [15][1480/3757] lr: 1.000e-02 eta: 1 day, 0:37:57 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 5.7321 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9835 loss: 1.9835 2022/06/29 18:29:37 - mmengine - INFO - Epoch(train) [15][1500/3757] lr: 1.000e-02 eta: 1 day, 0:37:49 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 6.4863 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0896 loss: 2.0896 2022/06/29 18:29:43 - mmengine - INFO - Epoch(train) [15][1520/3757] lr: 1.000e-02 eta: 1 day, 0:37:42 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 6.1102 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2589 loss: 2.2589 2022/06/29 18:29:48 - mmengine - INFO - Epoch(train) [15][1540/3757] lr: 1.000e-02 eta: 1 day, 0:37:36 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.5645 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6642 loss: 2.6642 2022/06/29 18:29:54 - mmengine - INFO - Epoch(train) [15][1560/3757] lr: 1.000e-02 eta: 1 day, 0:37:31 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.4797 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9218 loss: 1.9218 2022/06/29 18:29:59 - mmengine - INFO - Epoch(train) [15][1580/3757] lr: 1.000e-02 eta: 1 day, 0:37:24 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 5.8704 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3289 loss: 2.3289 2022/06/29 18:30:05 - mmengine - INFO - Epoch(train) [15][1600/3757] lr: 1.000e-02 eta: 1 day, 0:37:19 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 5.3712 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8743 loss: 1.8743 2022/06/29 18:30:10 - mmengine - INFO - Epoch(train) [15][1620/3757] lr: 1.000e-02 eta: 1 day, 0:37:13 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.9237 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2500 loss: 2.2500 2022/06/29 18:30:16 - mmengine - INFO - Epoch(train) [15][1640/3757] lr: 1.000e-02 eta: 1 day, 0:37:11 time: 0.235 data_time: 0.012 memory: 6404 grad_norm: 5.7382 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0644 loss: 2.0644 2022/06/29 18:30:22 - mmengine - INFO - Epoch(train) [15][1660/3757] lr: 1.000e-02 eta: 1 day, 0:37:08 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 5.5695 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1713 loss: 2.1713 2022/06/29 18:30:27 - mmengine - INFO - Epoch(train) [15][1680/3757] lr: 1.000e-02 eta: 1 day, 0:36:59 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.7996 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8819 loss: 1.8819 2022/06/29 18:30:33 - mmengine - INFO - Epoch(train) [15][1700/3757] lr: 1.000e-02 eta: 1 day, 0:36:54 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.8676 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2381 loss: 2.2381 2022/06/29 18:30:38 - mmengine - INFO - Epoch(train) [15][1720/3757] lr: 1.000e-02 eta: 1 day, 0:36:50 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 5.2798 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3916 loss: 2.3916 2022/06/29 18:30:44 - mmengine - INFO - Epoch(train) [15][1740/3757] lr: 1.000e-02 eta: 1 day, 0:36:43 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.0617 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1451 loss: 2.1451 2022/06/29 18:30:49 - mmengine - INFO - Epoch(train) [15][1760/3757] lr: 1.000e-02 eta: 1 day, 0:36:39 time: 0.344 data_time: 0.007 memory: 6404 grad_norm: 4.9835 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9979 loss: 1.9979 2022/06/29 18:30:55 - mmengine - INFO - Epoch(train) [15][1780/3757] lr: 1.000e-02 eta: 1 day, 0:36:34 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.6506 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5015 loss: 2.5015 2022/06/29 18:31:00 - mmengine - INFO - Epoch(train) [15][1800/3757] lr: 1.000e-02 eta: 1 day, 0:36:28 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.1820 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1502 loss: 2.1502 2022/06/29 18:31:06 - mmengine - INFO - Epoch(train) [15][1820/3757] lr: 1.000e-02 eta: 1 day, 0:36:24 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 5.3901 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1674 loss: 2.1674 2022/06/29 18:31:12 - mmengine - INFO - Epoch(train) [15][1840/3757] lr: 1.000e-02 eta: 1 day, 0:36:18 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 4.9669 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9776 loss: 1.9776 2022/06/29 18:31:17 - mmengine - INFO - Epoch(train) [15][1860/3757] lr: 1.000e-02 eta: 1 day, 0:36:13 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.3697 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9435 loss: 1.9435 2022/06/29 18:31:23 - mmengine - INFO - Epoch(train) [15][1880/3757] lr: 1.000e-02 eta: 1 day, 0:36:08 time: 0.267 data_time: 0.011 memory: 6404 grad_norm: 5.8887 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4239 loss: 2.4239 2022/06/29 18:31:28 - mmengine - INFO - Epoch(train) [15][1900/3757] lr: 1.000e-02 eta: 1 day, 0:36:00 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 5.5893 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1208 loss: 2.1208 2022/06/29 18:31:34 - mmengine - INFO - Epoch(train) [15][1920/3757] lr: 1.000e-02 eta: 1 day, 0:35:56 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 5.2246 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3207 loss: 2.3207 2022/06/29 18:31:39 - mmengine - INFO - Epoch(train) [15][1940/3757] lr: 1.000e-02 eta: 1 day, 0:35:50 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.2522 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9116 loss: 1.9116 2022/06/29 18:31:45 - mmengine - INFO - Epoch(train) [15][1960/3757] lr: 1.000e-02 eta: 1 day, 0:35:46 time: 0.247 data_time: 0.005 memory: 6404 grad_norm: 5.0284 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3240 loss: 2.3240 2022/06/29 18:31:50 - mmengine - INFO - Epoch(train) [15][1980/3757] lr: 1.000e-02 eta: 1 day, 0:35:38 time: 0.246 data_time: 0.023 memory: 6404 grad_norm: 6.4938 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2321 loss: 2.2321 2022/06/29 18:31:56 - mmengine - INFO - Epoch(train) [15][2000/3757] lr: 1.000e-02 eta: 1 day, 0:35:34 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 5.6674 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6432 loss: 1.6432 2022/06/29 18:32:02 - mmengine - INFO - Epoch(train) [15][2020/3757] lr: 1.000e-02 eta: 1 day, 0:35:31 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.7177 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7812 loss: 1.7812 2022/06/29 18:32:07 - mmengine - INFO - Epoch(train) [15][2040/3757] lr: 1.000e-02 eta: 1 day, 0:35:24 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 5.7332 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1368 loss: 2.1368 2022/06/29 18:32:13 - mmengine - INFO - Epoch(train) [15][2060/3757] lr: 1.000e-02 eta: 1 day, 0:35:20 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 4.7893 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1487 loss: 2.1487 2022/06/29 18:32:18 - mmengine - INFO - Epoch(train) [15][2080/3757] lr: 1.000e-02 eta: 1 day, 0:35:12 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.8976 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1973 loss: 2.1973 2022/06/29 18:32:23 - mmengine - INFO - Epoch(train) [15][2100/3757] lr: 1.000e-02 eta: 1 day, 0:35:05 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 6.1677 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8170 loss: 1.8170 2022/06/29 18:32:28 - mmengine - INFO - Epoch(train) [15][2120/3757] lr: 1.000e-02 eta: 1 day, 0:34:56 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 5.0958 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2228 loss: 2.2228 2022/06/29 18:32:34 - mmengine - INFO - Epoch(train) [15][2140/3757] lr: 1.000e-02 eta: 1 day, 0:34:50 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 4.8442 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1103 loss: 2.1103 2022/06/29 18:32:39 - mmengine - INFO - Epoch(train) [15][2160/3757] lr: 1.000e-02 eta: 1 day, 0:34:45 time: 0.647 data_time: 0.019 memory: 6404 grad_norm: 5.6448 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1296 loss: 2.1296 2022/06/29 18:32:44 - mmengine - INFO - Epoch(train) [15][2180/3757] lr: 1.000e-02 eta: 1 day, 0:34:38 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 5.4202 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0574 loss: 2.0574 2022/06/29 18:32:50 - mmengine - INFO - Epoch(train) [15][2200/3757] lr: 1.000e-02 eta: 1 day, 0:34:35 time: 0.259 data_time: 0.006 memory: 6404 grad_norm: 6.2153 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3341 loss: 2.3341 2022/06/29 18:32:56 - mmengine - INFO - Epoch(train) [15][2220/3757] lr: 1.000e-02 eta: 1 day, 0:34:30 time: 0.591 data_time: 0.018 memory: 6404 grad_norm: 5.4285 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9980 loss: 1.9980 2022/06/29 18:33:02 - mmengine - INFO - Epoch(train) [15][2240/3757] lr: 1.000e-02 eta: 1 day, 0:34:26 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 6.1854 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1300 loss: 2.1300 2022/06/29 18:33:07 - mmengine - INFO - Epoch(train) [15][2260/3757] lr: 1.000e-02 eta: 1 day, 0:34:18 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.8367 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2940 loss: 2.2940 2022/06/29 18:33:12 - mmengine - INFO - Epoch(train) [15][2280/3757] lr: 1.000e-02 eta: 1 day, 0:34:12 time: 0.286 data_time: 0.023 memory: 6404 grad_norm: 4.8109 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6033 loss: 2.6033 2022/06/29 18:33:17 - mmengine - INFO - Epoch(train) [15][2300/3757] lr: 1.000e-02 eta: 1 day, 0:34:05 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 5.4633 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2052 loss: 2.2052 2022/06/29 18:33:23 - mmengine - INFO - Epoch(train) [15][2320/3757] lr: 1.000e-02 eta: 1 day, 0:33:57 time: 0.266 data_time: 0.006 memory: 6404 grad_norm: 5.4319 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3639 loss: 2.3639 2022/06/29 18:33:28 - mmengine - INFO - Epoch(train) [15][2340/3757] lr: 1.000e-02 eta: 1 day, 0:33:51 time: 0.244 data_time: 0.018 memory: 6404 grad_norm: 5.6915 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5444 loss: 2.5444 2022/06/29 18:33:34 - mmengine - INFO - Epoch(train) [15][2360/3757] lr: 1.000e-02 eta: 1 day, 0:33:47 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 4.6939 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0099 loss: 2.0099 2022/06/29 18:33:39 - mmengine - INFO - Epoch(train) [15][2380/3757] lr: 1.000e-02 eta: 1 day, 0:33:41 time: 0.273 data_time: 0.007 memory: 6404 grad_norm: 6.2571 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6226 loss: 1.6226 2022/06/29 18:33:45 - mmengine - INFO - Epoch(train) [15][2400/3757] lr: 1.000e-02 eta: 1 day, 0:33:36 time: 0.262 data_time: 0.016 memory: 6404 grad_norm: 5.8427 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4890 loss: 2.4890 2022/06/29 18:33:45 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 18:33:50 - mmengine - INFO - Epoch(train) [15][2420/3757] lr: 1.000e-02 eta: 1 day, 0:33:29 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.7936 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7929 loss: 1.7929 2022/06/29 18:33:56 - mmengine - INFO - Epoch(train) [15][2440/3757] lr: 1.000e-02 eta: 1 day, 0:33:24 time: 0.243 data_time: 0.006 memory: 6404 grad_norm: 5.7849 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3292 loss: 2.3292 2022/06/29 18:34:02 - mmengine - INFO - Epoch(train) [15][2460/3757] lr: 1.000e-02 eta: 1 day, 0:33:22 time: 0.269 data_time: 0.012 memory: 6404 grad_norm: 6.0592 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9756 loss: 1.9756 2022/06/29 18:34:07 - mmengine - INFO - Epoch(train) [15][2480/3757] lr: 1.000e-02 eta: 1 day, 0:33:15 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.4269 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7237 loss: 1.7237 2022/06/29 18:34:13 - mmengine - INFO - Epoch(train) [15][2500/3757] lr: 1.000e-02 eta: 1 day, 0:33:10 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 6.0093 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1365 loss: 2.1365 2022/06/29 18:34:18 - mmengine - INFO - Epoch(train) [15][2520/3757] lr: 1.000e-02 eta: 1 day, 0:33:02 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 5.8565 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1602 loss: 2.1602 2022/06/29 18:34:23 - mmengine - INFO - Epoch(train) [15][2540/3757] lr: 1.000e-02 eta: 1 day, 0:32:56 time: 0.243 data_time: 0.016 memory: 6404 grad_norm: 4.8267 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8636 loss: 1.8636 2022/06/29 18:34:29 - mmengine - INFO - Epoch(train) [15][2560/3757] lr: 1.000e-02 eta: 1 day, 0:32:50 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 4.9642 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7186 loss: 1.7186 2022/06/29 18:34:34 - mmengine - INFO - Epoch(train) [15][2580/3757] lr: 1.000e-02 eta: 1 day, 0:32:44 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 5.5299 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.6423 loss: 2.6423 2022/06/29 18:34:40 - mmengine - INFO - Epoch(train) [15][2600/3757] lr: 1.000e-02 eta: 1 day, 0:32:38 time: 0.303 data_time: 0.009 memory: 6404 grad_norm: 5.7151 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3621 loss: 2.3621 2022/06/29 18:34:45 - mmengine - INFO - Epoch(train) [15][2620/3757] lr: 1.000e-02 eta: 1 day, 0:32:33 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.1350 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0231 loss: 2.0231 2022/06/29 18:34:51 - mmengine - INFO - Epoch(train) [15][2640/3757] lr: 1.000e-02 eta: 1 day, 0:32:27 time: 0.257 data_time: 0.057 memory: 6404 grad_norm: 5.6581 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2078 loss: 2.2078 2022/06/29 18:34:56 - mmengine - INFO - Epoch(train) [15][2660/3757] lr: 1.000e-02 eta: 1 day, 0:32:21 time: 0.237 data_time: 0.012 memory: 6404 grad_norm: 5.2951 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1906 loss: 2.1906 2022/06/29 18:35:01 - mmengine - INFO - Epoch(train) [15][2680/3757] lr: 1.000e-02 eta: 1 day, 0:32:13 time: 0.248 data_time: 0.015 memory: 6404 grad_norm: 5.8975 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2251 loss: 2.2251 2022/06/29 18:35:07 - mmengine - INFO - Epoch(train) [15][2700/3757] lr: 1.000e-02 eta: 1 day, 0:32:10 time: 0.463 data_time: 0.009 memory: 6404 grad_norm: 5.4789 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9328 loss: 1.9328 2022/06/29 18:35:12 - mmengine - INFO - Epoch(train) [15][2720/3757] lr: 1.000e-02 eta: 1 day, 0:32:04 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 6.0474 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4024 loss: 2.4024 2022/06/29 18:35:18 - mmengine - INFO - Epoch(train) [15][2740/3757] lr: 1.000e-02 eta: 1 day, 0:32:00 time: 0.251 data_time: 0.020 memory: 6404 grad_norm: 5.2945 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9615 loss: 1.9615 2022/06/29 18:35:24 - mmengine - INFO - Epoch(train) [15][2760/3757] lr: 1.000e-02 eta: 1 day, 0:31:55 time: 0.345 data_time: 0.007 memory: 6404 grad_norm: 4.9971 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0884 loss: 2.0884 2022/06/29 18:35:29 - mmengine - INFO - Epoch(train) [15][2780/3757] lr: 1.000e-02 eta: 1 day, 0:31:50 time: 0.269 data_time: 0.011 memory: 6404 grad_norm: 5.7086 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9292 loss: 1.9292 2022/06/29 18:35:35 - mmengine - INFO - Epoch(train) [15][2800/3757] lr: 1.000e-02 eta: 1 day, 0:31:44 time: 0.255 data_time: 0.014 memory: 6404 grad_norm: 6.0183 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4292 loss: 2.4292 2022/06/29 18:35:41 - mmengine - INFO - Epoch(train) [15][2820/3757] lr: 1.000e-02 eta: 1 day, 0:31:41 time: 0.656 data_time: 0.008 memory: 6404 grad_norm: 5.7465 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1045 loss: 2.1045 2022/06/29 18:35:46 - mmengine - INFO - Epoch(train) [15][2840/3757] lr: 1.000e-02 eta: 1 day, 0:31:32 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 5.4186 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3587 loss: 2.3587 2022/06/29 18:35:52 - mmengine - INFO - Epoch(train) [15][2860/3757] lr: 1.000e-02 eta: 1 day, 0:31:29 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 5.4013 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0292 loss: 2.0292 2022/06/29 18:35:57 - mmengine - INFO - Epoch(train) [15][2880/3757] lr: 1.000e-02 eta: 1 day, 0:31:24 time: 0.550 data_time: 0.017 memory: 6404 grad_norm: 5.6285 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1676 loss: 2.1676 2022/06/29 18:36:03 - mmengine - INFO - Epoch(train) [15][2900/3757] lr: 1.000e-02 eta: 1 day, 0:31:17 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 5.6336 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1825 loss: 2.1825 2022/06/29 18:36:08 - mmengine - INFO - Epoch(train) [15][2920/3757] lr: 1.000e-02 eta: 1 day, 0:31:10 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 5.1513 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4245 loss: 1.4245 2022/06/29 18:36:14 - mmengine - INFO - Epoch(train) [15][2940/3757] lr: 1.000e-02 eta: 1 day, 0:31:06 time: 0.466 data_time: 0.016 memory: 6404 grad_norm: 5.0816 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0769 loss: 2.0769 2022/06/29 18:36:19 - mmengine - INFO - Epoch(train) [15][2960/3757] lr: 1.000e-02 eta: 1 day, 0:30:58 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.1986 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4008 loss: 2.4008 2022/06/29 18:36:24 - mmengine - INFO - Epoch(train) [15][2980/3757] lr: 1.000e-02 eta: 1 day, 0:30:54 time: 0.264 data_time: 0.021 memory: 6404 grad_norm: 5.0751 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5022 loss: 2.5022 2022/06/29 18:36:30 - mmengine - INFO - Epoch(train) [15][3000/3757] lr: 1.000e-02 eta: 1 day, 0:30:49 time: 0.916 data_time: 0.011 memory: 6404 grad_norm: 5.5746 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2709 loss: 2.2709 2022/06/29 18:36:35 - mmengine - INFO - Epoch(train) [15][3020/3757] lr: 1.000e-02 eta: 1 day, 0:30:42 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 6.0684 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1070 loss: 2.1070 2022/06/29 18:36:41 - mmengine - INFO - Epoch(train) [15][3040/3757] lr: 1.000e-02 eta: 1 day, 0:30:38 time: 0.260 data_time: 0.014 memory: 6404 grad_norm: 5.0683 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2202 loss: 2.2202 2022/06/29 18:36:47 - mmengine - INFO - Epoch(train) [15][3060/3757] lr: 1.000e-02 eta: 1 day, 0:30:34 time: 0.773 data_time: 0.006 memory: 6404 grad_norm: 4.2954 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3718 loss: 2.3718 2022/06/29 18:36:52 - mmengine - INFO - Epoch(train) [15][3080/3757] lr: 1.000e-02 eta: 1 day, 0:30:27 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.6378 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8841 loss: 1.8841 2022/06/29 18:36:58 - mmengine - INFO - Epoch(train) [15][3100/3757] lr: 1.000e-02 eta: 1 day, 0:30:21 time: 0.275 data_time: 0.020 memory: 6404 grad_norm: 5.8533 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1984 loss: 2.1984 2022/06/29 18:37:03 - mmengine - INFO - Epoch(train) [15][3120/3757] lr: 1.000e-02 eta: 1 day, 0:30:16 time: 0.564 data_time: 0.019 memory: 6404 grad_norm: 5.5645 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2203 loss: 2.2203 2022/06/29 18:37:09 - mmengine - INFO - Epoch(train) [15][3140/3757] lr: 1.000e-02 eta: 1 day, 0:30:09 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.6169 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4986 loss: 2.4986 2022/06/29 18:37:15 - mmengine - INFO - Epoch(train) [15][3160/3757] lr: 1.000e-02 eta: 1 day, 0:30:08 time: 0.257 data_time: 0.018 memory: 6404 grad_norm: 5.5958 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6066 loss: 1.6066 2022/06/29 18:37:20 - mmengine - INFO - Epoch(train) [15][3180/3757] lr: 1.000e-02 eta: 1 day, 0:30:00 time: 0.303 data_time: 0.029 memory: 6404 grad_norm: 5.5284 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8158 loss: 1.8158 2022/06/29 18:37:25 - mmengine - INFO - Epoch(train) [15][3200/3757] lr: 1.000e-02 eta: 1 day, 0:29:53 time: 0.242 data_time: 0.011 memory: 6404 grad_norm: 6.5240 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1979 loss: 2.1979 2022/06/29 18:37:31 - mmengine - INFO - Epoch(train) [15][3220/3757] lr: 1.000e-02 eta: 1 day, 0:29:48 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.6239 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8620 loss: 1.8620 2022/06/29 18:37:36 - mmengine - INFO - Epoch(train) [15][3240/3757] lr: 1.000e-02 eta: 1 day, 0:29:40 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 5.0390 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9437 loss: 1.9437 2022/06/29 18:37:41 - mmengine - INFO - Epoch(train) [15][3260/3757] lr: 1.000e-02 eta: 1 day, 0:29:34 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 5.4793 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0962 loss: 2.0962 2022/06/29 18:37:47 - mmengine - INFO - Epoch(train) [15][3280/3757] lr: 1.000e-02 eta: 1 day, 0:29:27 time: 0.243 data_time: 0.012 memory: 6404 grad_norm: 5.4409 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7439 loss: 1.7439 2022/06/29 18:37:52 - mmengine - INFO - Epoch(train) [15][3300/3757] lr: 1.000e-02 eta: 1 day, 0:29:23 time: 0.239 data_time: 0.019 memory: 6404 grad_norm: 5.2667 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0544 loss: 2.0544 2022/06/29 18:37:58 - mmengine - INFO - Epoch(train) [15][3320/3757] lr: 1.000e-02 eta: 1 day, 0:29:17 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 4.6060 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9615 loss: 1.9615 2022/06/29 18:38:03 - mmengine - INFO - Epoch(train) [15][3340/3757] lr: 1.000e-02 eta: 1 day, 0:29:11 time: 0.239 data_time: 0.007 memory: 6404 grad_norm: 5.4751 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2002 loss: 2.2002 2022/06/29 18:38:09 - mmengine - INFO - Epoch(train) [15][3360/3757] lr: 1.000e-02 eta: 1 day, 0:29:05 time: 0.438 data_time: 0.007 memory: 6404 grad_norm: 5.7293 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1847 loss: 2.1847 2022/06/29 18:38:14 - mmengine - INFO - Epoch(train) [15][3380/3757] lr: 1.000e-02 eta: 1 day, 0:28:58 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.7605 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2727 loss: 2.2727 2022/06/29 18:38:20 - mmengine - INFO - Epoch(train) [15][3400/3757] lr: 1.000e-02 eta: 1 day, 0:28:57 time: 0.263 data_time: 0.011 memory: 6404 grad_norm: 5.5232 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1608 loss: 2.1608 2022/06/29 18:38:21 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 18:38:25 - mmengine - INFO - Epoch(train) [15][3420/3757] lr: 1.000e-02 eta: 1 day, 0:28:50 time: 0.478 data_time: 0.007 memory: 6404 grad_norm: 6.1419 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.8591 loss: 1.8591 2022/06/29 18:38:31 - mmengine - INFO - Epoch(train) [15][3440/3757] lr: 1.000e-02 eta: 1 day, 0:28:44 time: 0.255 data_time: 0.019 memory: 6404 grad_norm: 5.8764 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1515 loss: 2.1515 2022/06/29 18:38:36 - mmengine - INFO - Epoch(train) [15][3460/3757] lr: 1.000e-02 eta: 1 day, 0:28:38 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 5.9110 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2804 loss: 2.2804 2022/06/29 18:38:42 - mmengine - INFO - Epoch(train) [15][3480/3757] lr: 1.000e-02 eta: 1 day, 0:28:33 time: 0.295 data_time: 0.007 memory: 6404 grad_norm: 5.4473 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0486 loss: 2.0486 2022/06/29 18:38:47 - mmengine - INFO - Epoch(train) [15][3500/3757] lr: 1.000e-02 eta: 1 day, 0:28:26 time: 0.241 data_time: 0.019 memory: 6404 grad_norm: 5.2913 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1434 loss: 2.1434 2022/06/29 18:38:53 - mmengine - INFO - Epoch(train) [15][3520/3757] lr: 1.000e-02 eta: 1 day, 0:28:21 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.3811 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1968 loss: 2.1968 2022/06/29 18:38:58 - mmengine - INFO - Epoch(train) [15][3540/3757] lr: 1.000e-02 eta: 1 day, 0:28:16 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.1802 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8270 loss: 1.8270 2022/06/29 18:39:04 - mmengine - INFO - Epoch(train) [15][3560/3757] lr: 1.000e-02 eta: 1 day, 0:28:11 time: 0.246 data_time: 0.012 memory: 6404 grad_norm: 5.8615 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9842 loss: 1.9842 2022/06/29 18:39:09 - mmengine - INFO - Epoch(train) [15][3580/3757] lr: 1.000e-02 eta: 1 day, 0:28:04 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.7664 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5749 loss: 2.5749 2022/06/29 18:39:15 - mmengine - INFO - Epoch(train) [15][3600/3757] lr: 1.000e-02 eta: 1 day, 0:27:59 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 5.3370 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5233 loss: 2.5233 2022/06/29 18:39:21 - mmengine - INFO - Epoch(train) [15][3620/3757] lr: 1.000e-02 eta: 1 day, 0:27:55 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 4.7864 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1638 loss: 2.1638 2022/06/29 18:39:26 - mmengine - INFO - Epoch(train) [15][3640/3757] lr: 1.000e-02 eta: 1 day, 0:27:47 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 4.9333 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7803 loss: 1.7803 2022/06/29 18:39:31 - mmengine - INFO - Epoch(train) [15][3660/3757] lr: 1.000e-02 eta: 1 day, 0:27:40 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.1033 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3071 loss: 2.3071 2022/06/29 18:39:36 - mmengine - INFO - Epoch(train) [15][3680/3757] lr: 1.000e-02 eta: 1 day, 0:27:32 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 4.5128 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3900 loss: 2.3900 2022/06/29 18:39:42 - mmengine - INFO - Epoch(train) [15][3700/3757] lr: 1.000e-02 eta: 1 day, 0:27:28 time: 0.245 data_time: 0.012 memory: 6404 grad_norm: 5.6423 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2469 loss: 2.2469 2022/06/29 18:39:47 - mmengine - INFO - Epoch(train) [15][3720/3757] lr: 1.000e-02 eta: 1 day, 0:27:20 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.3593 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.8066 loss: 1.8066 2022/06/29 18:39:53 - mmengine - INFO - Epoch(train) [15][3740/3757] lr: 1.000e-02 eta: 1 day, 0:27:15 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 5.9519 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0367 loss: 2.0367 2022/06/29 18:39:56 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 18:39:56 - mmengine - INFO - Saving checkpoint at 15 epochs 2022/06/29 18:40:08 - mmengine - INFO - Epoch(val) [15][20/310] eta: 0:01:34 time: 0.081 data_time: 0.005 memory: 6404 2022/06/29 18:40:14 - mmengine - INFO - Epoch(val) [15][40/310] eta: 0:01:13 time: 0.083 data_time: 0.009 memory: 1479 2022/06/29 18:40:18 - mmengine - INFO - Epoch(val) [15][60/310] eta: 0:00:20 time: 0.081 data_time: 0.005 memory: 1479 2022/06/29 18:40:23 - mmengine - INFO - Epoch(val) [15][80/310] eta: 0:01:07 time: 0.082 data_time: 0.005 memory: 1479 2022/06/29 18:40:29 - mmengine - INFO - Epoch(val) [15][100/310] eta: 0:01:02 time: 0.603 data_time: 0.521 memory: 1479 2022/06/29 18:40:33 - mmengine - INFO - Epoch(val) [15][120/310] eta: 0:00:22 time: 0.082 data_time: 0.006 memory: 1479 2022/06/29 18:40:39 - mmengine - INFO - Epoch(val) [15][140/310] eta: 0:00:51 time: 0.086 data_time: 0.009 memory: 1479 2022/06/29 18:40:45 - mmengine - INFO - Epoch(val) [15][160/310] eta: 0:00:52 time: 1.582 data_time: 1.501 memory: 1479 2022/06/29 18:40:50 - mmengine - INFO - Epoch(val) [15][180/310] eta: 0:00:36 time: 0.078 data_time: 0.005 memory: 1479 2022/06/29 18:40:56 - mmengine - INFO - Epoch(val) [15][200/310] eta: 0:00:34 time: 0.080 data_time: 0.005 memory: 1479 2022/06/29 18:41:01 - mmengine - INFO - Epoch(val) [15][220/310] eta: 0:00:26 time: 1.202 data_time: 1.128 memory: 1479 2022/06/29 18:41:05 - mmengine - INFO - Epoch(val) [15][240/310] eta: 0:00:15 time: 0.082 data_time: 0.007 memory: 1479 2022/06/29 18:41:11 - mmengine - INFO - Epoch(val) [15][260/310] eta: 0:00:16 time: 0.086 data_time: 0.009 memory: 1479 2022/06/29 18:41:16 - mmengine - INFO - Epoch(val) [15][280/310] eta: 0:00:06 time: 1.270 data_time: 1.184 memory: 1479 2022/06/29 18:41:19 - mmengine - INFO - Epoch(val) [15][300/310] eta: 0:00:01 time: 0.076 data_time: 0.005 memory: 1479 2022/06/29 18:41:21 - mmengine - INFO - Epoch(val) [15][310/310] acc/top1: 0.5350 acc/top5: 0.7867 acc/mean1: 0.5350 2022/06/29 18:41:30 - mmengine - INFO - Epoch(train) [16][20/3757] lr: 1.000e-02 eta: 1 day, 0:27:11 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.4018 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7802 loss: 2.7802 2022/06/29 18:41:35 - mmengine - INFO - Epoch(train) [16][40/3757] lr: 1.000e-02 eta: 1 day, 0:27:07 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.6770 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4645 loss: 2.4645 2022/06/29 18:41:41 - mmengine - INFO - Epoch(train) [16][60/3757] lr: 1.000e-02 eta: 1 day, 0:27:01 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.8191 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1091 loss: 2.1091 2022/06/29 18:41:46 - mmengine - INFO - Epoch(train) [16][80/3757] lr: 1.000e-02 eta: 1 day, 0:26:55 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 5.0542 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7381 loss: 1.7381 2022/06/29 18:41:52 - mmengine - INFO - Epoch(train) [16][100/3757] lr: 1.000e-02 eta: 1 day, 0:26:49 time: 0.241 data_time: 0.008 memory: 6404 grad_norm: 5.4364 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8249 loss: 1.8249 2022/06/29 18:41:57 - mmengine - INFO - Epoch(train) [16][120/3757] lr: 1.000e-02 eta: 1 day, 0:26:42 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 4.9876 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8045 loss: 1.8045 2022/06/29 18:42:03 - mmengine - INFO - Epoch(train) [16][140/3757] lr: 1.000e-02 eta: 1 day, 0:26:37 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 5.5158 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8392 loss: 1.8392 2022/06/29 18:42:08 - mmengine - INFO - Epoch(train) [16][160/3757] lr: 1.000e-02 eta: 1 day, 0:26:33 time: 0.410 data_time: 0.008 memory: 6404 grad_norm: 6.1990 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2380 loss: 2.2380 2022/06/29 18:42:14 - mmengine - INFO - Epoch(train) [16][180/3757] lr: 1.000e-02 eta: 1 day, 0:26:27 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 5.4157 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0869 loss: 2.0869 2022/06/29 18:42:19 - mmengine - INFO - Epoch(train) [16][200/3757] lr: 1.000e-02 eta: 1 day, 0:26:21 time: 0.244 data_time: 0.009 memory: 6404 grad_norm: 5.4356 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8484 loss: 1.8484 2022/06/29 18:42:25 - mmengine - INFO - Epoch(train) [16][220/3757] lr: 1.000e-02 eta: 1 day, 0:26:15 time: 0.385 data_time: 0.008 memory: 6404 grad_norm: 5.2007 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1590 loss: 2.1590 2022/06/29 18:42:30 - mmengine - INFO - Epoch(train) [16][240/3757] lr: 1.000e-02 eta: 1 day, 0:26:11 time: 0.317 data_time: 0.006 memory: 6404 grad_norm: 6.2229 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3028 loss: 2.3028 2022/06/29 18:42:36 - mmengine - INFO - Epoch(train) [16][260/3757] lr: 1.000e-02 eta: 1 day, 0:26:05 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 5.3935 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0860 loss: 2.0860 2022/06/29 18:42:41 - mmengine - INFO - Epoch(train) [16][280/3757] lr: 1.000e-02 eta: 1 day, 0:25:59 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 4.6855 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9694 loss: 1.9694 2022/06/29 18:42:47 - mmengine - INFO - Epoch(train) [16][300/3757] lr: 1.000e-02 eta: 1 day, 0:25:54 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 4.9203 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6658 loss: 1.6658 2022/06/29 18:42:52 - mmengine - INFO - Epoch(train) [16][320/3757] lr: 1.000e-02 eta: 1 day, 0:25:48 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 5.6441 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8735 loss: 1.8735 2022/06/29 18:42:58 - mmengine - INFO - Epoch(train) [16][340/3757] lr: 1.000e-02 eta: 1 day, 0:25:42 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 5.7536 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2704 loss: 2.2704 2022/06/29 18:43:03 - mmengine - INFO - Epoch(train) [16][360/3757] lr: 1.000e-02 eta: 1 day, 0:25:35 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 5.7022 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5369 loss: 2.5369 2022/06/29 18:43:09 - mmengine - INFO - Epoch(train) [16][380/3757] lr: 1.000e-02 eta: 1 day, 0:25:30 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.0704 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4630 loss: 2.4630 2022/06/29 18:43:14 - mmengine - INFO - Epoch(train) [16][400/3757] lr: 1.000e-02 eta: 1 day, 0:25:25 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.5327 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8158 loss: 1.8158 2022/06/29 18:43:20 - mmengine - INFO - Epoch(train) [16][420/3757] lr: 1.000e-02 eta: 1 day, 0:25:20 time: 0.241 data_time: 0.006 memory: 6404 grad_norm: 5.7257 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9234 loss: 1.9234 2022/06/29 18:43:26 - mmengine - INFO - Epoch(train) [16][440/3757] lr: 1.000e-02 eta: 1 day, 0:25:15 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.3680 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0239 loss: 2.0239 2022/06/29 18:43:31 - mmengine - INFO - Epoch(train) [16][460/3757] lr: 1.000e-02 eta: 1 day, 0:25:10 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.4027 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3803 loss: 2.3803 2022/06/29 18:43:36 - mmengine - INFO - Epoch(train) [16][480/3757] lr: 1.000e-02 eta: 1 day, 0:25:03 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 6.0240 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2100 loss: 2.2100 2022/06/29 18:43:42 - mmengine - INFO - Epoch(train) [16][500/3757] lr: 1.000e-02 eta: 1 day, 0:24:57 time: 0.242 data_time: 0.010 memory: 6404 grad_norm: 6.1665 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1351 loss: 2.1351 2022/06/29 18:43:47 - mmengine - INFO - Epoch(train) [16][520/3757] lr: 1.000e-02 eta: 1 day, 0:24:49 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.1544 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1844 loss: 2.1844 2022/06/29 18:43:53 - mmengine - INFO - Epoch(train) [16][540/3757] lr: 1.000e-02 eta: 1 day, 0:24:45 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.6208 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7480 loss: 1.7480 2022/06/29 18:43:58 - mmengine - INFO - Epoch(train) [16][560/3757] lr: 1.000e-02 eta: 1 day, 0:24:38 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.0894 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1879 loss: 2.1879 2022/06/29 18:44:04 - mmengine - INFO - Epoch(train) [16][580/3757] lr: 1.000e-02 eta: 1 day, 0:24:33 time: 0.244 data_time: 0.009 memory: 6404 grad_norm: 5.6214 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8380 loss: 1.8380 2022/06/29 18:44:09 - mmengine - INFO - Epoch(train) [16][600/3757] lr: 1.000e-02 eta: 1 day, 0:24:28 time: 0.240 data_time: 0.006 memory: 6404 grad_norm: 4.6360 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3586 loss: 2.3586 2022/06/29 18:44:15 - mmengine - INFO - Epoch(train) [16][620/3757] lr: 1.000e-02 eta: 1 day, 0:24:22 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 5.9317 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9050 loss: 1.9050 2022/06/29 18:44:20 - mmengine - INFO - Epoch(train) [16][640/3757] lr: 1.000e-02 eta: 1 day, 0:24:16 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 4.8779 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9911 loss: 1.9911 2022/06/29 18:44:22 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 18:44:25 - mmengine - INFO - Epoch(train) [16][660/3757] lr: 1.000e-02 eta: 1 day, 0:24:10 time: 0.247 data_time: 0.019 memory: 6404 grad_norm: 5.7193 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4211 loss: 2.4211 2022/06/29 18:44:31 - mmengine - INFO - Epoch(train) [16][680/3757] lr: 1.000e-02 eta: 1 day, 0:24:03 time: 0.337 data_time: 0.123 memory: 6404 grad_norm: 5.4739 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3291 loss: 2.3291 2022/06/29 18:44:36 - mmengine - INFO - Epoch(train) [16][700/3757] lr: 1.000e-02 eta: 1 day, 0:23:58 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.6317 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2879 loss: 2.2879 2022/06/29 18:44:42 - mmengine - INFO - Epoch(train) [16][720/3757] lr: 1.000e-02 eta: 1 day, 0:23:52 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 5.8243 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9876 loss: 1.9876 2022/06/29 18:44:47 - mmengine - INFO - Epoch(train) [16][740/3757] lr: 1.000e-02 eta: 1 day, 0:23:45 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.7819 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2924 loss: 2.2924 2022/06/29 18:44:52 - mmengine - INFO - Epoch(train) [16][760/3757] lr: 1.000e-02 eta: 1 day, 0:23:39 time: 0.236 data_time: 0.011 memory: 6404 grad_norm: 5.0078 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8190 loss: 1.8190 2022/06/29 18:44:58 - mmengine - INFO - Epoch(train) [16][780/3757] lr: 1.000e-02 eta: 1 day, 0:23:32 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 6.3801 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1463 loss: 2.1463 2022/06/29 18:45:03 - mmengine - INFO - Epoch(train) [16][800/3757] lr: 1.000e-02 eta: 1 day, 0:23:27 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 4.7736 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9800 loss: 1.9800 2022/06/29 18:45:09 - mmengine - INFO - Epoch(train) [16][820/3757] lr: 1.000e-02 eta: 1 day, 0:23:22 time: 0.240 data_time: 0.011 memory: 6404 grad_norm: 5.3952 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0392 loss: 2.0392 2022/06/29 18:45:14 - mmengine - INFO - Epoch(train) [16][840/3757] lr: 1.000e-02 eta: 1 day, 0:23:16 time: 0.248 data_time: 0.015 memory: 6404 grad_norm: 5.2490 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5147 loss: 2.5147 2022/06/29 18:45:20 - mmengine - INFO - Epoch(train) [16][860/3757] lr: 1.000e-02 eta: 1 day, 0:23:11 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 5.8550 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0814 loss: 2.0814 2022/06/29 18:45:26 - mmengine - INFO - Epoch(train) [16][880/3757] lr: 1.000e-02 eta: 1 day, 0:23:06 time: 0.249 data_time: 0.017 memory: 6404 grad_norm: 5.0355 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8034 loss: 1.8034 2022/06/29 18:45:31 - mmengine - INFO - Epoch(train) [16][900/3757] lr: 1.000e-02 eta: 1 day, 0:23:00 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.5816 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2212 loss: 2.2212 2022/06/29 18:45:37 - mmengine - INFO - Epoch(train) [16][920/3757] lr: 1.000e-02 eta: 1 day, 0:22:55 time: 0.245 data_time: 0.015 memory: 6404 grad_norm: 6.1690 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3790 loss: 2.3790 2022/06/29 18:45:42 - mmengine - INFO - Epoch(train) [16][940/3757] lr: 1.000e-02 eta: 1 day, 0:22:49 time: 0.250 data_time: 0.018 memory: 6404 grad_norm: 4.8671 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0435 loss: 2.0435 2022/06/29 18:45:47 - mmengine - INFO - Epoch(train) [16][960/3757] lr: 1.000e-02 eta: 1 day, 0:22:42 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.2715 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3503 loss: 2.3503 2022/06/29 18:45:53 - mmengine - INFO - Epoch(train) [16][980/3757] lr: 1.000e-02 eta: 1 day, 0:22:37 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.0386 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1514 loss: 2.1514 2022/06/29 18:45:58 - mmengine - INFO - Epoch(train) [16][1000/3757] lr: 1.000e-02 eta: 1 day, 0:22:30 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 5.9361 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5080 loss: 2.5080 2022/06/29 18:46:04 - mmengine - INFO - Epoch(train) [16][1020/3757] lr: 1.000e-02 eta: 1 day, 0:22:25 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.4720 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1357 loss: 2.1357 2022/06/29 18:46:09 - mmengine - INFO - Epoch(train) [16][1040/3757] lr: 1.000e-02 eta: 1 day, 0:22:18 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 5.4116 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9136 loss: 1.9136 2022/06/29 18:46:15 - mmengine - INFO - Epoch(train) [16][1060/3757] lr: 1.000e-02 eta: 1 day, 0:22:13 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 5.5761 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0590 loss: 2.0590 2022/06/29 18:46:20 - mmengine - INFO - Epoch(train) [16][1080/3757] lr: 1.000e-02 eta: 1 day, 0:22:05 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.2865 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8723 loss: 1.8723 2022/06/29 18:46:25 - mmengine - INFO - Epoch(train) [16][1100/3757] lr: 1.000e-02 eta: 1 day, 0:22:01 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 5.5038 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9143 loss: 1.9143 2022/06/29 18:46:31 - mmengine - INFO - Epoch(train) [16][1120/3757] lr: 1.000e-02 eta: 1 day, 0:21:55 time: 0.290 data_time: 0.074 memory: 6404 grad_norm: 5.2792 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7644 loss: 1.7644 2022/06/29 18:46:36 - mmengine - INFO - Epoch(train) [16][1140/3757] lr: 1.000e-02 eta: 1 day, 0:21:49 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.2002 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2179 loss: 2.2179 2022/06/29 18:46:42 - mmengine - INFO - Epoch(train) [16][1160/3757] lr: 1.000e-02 eta: 1 day, 0:21:45 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.5700 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4642 loss: 2.4642 2022/06/29 18:46:47 - mmengine - INFO - Epoch(train) [16][1180/3757] lr: 1.000e-02 eta: 1 day, 0:21:37 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.5730 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9638 loss: 1.9638 2022/06/29 18:46:52 - mmengine - INFO - Epoch(train) [16][1200/3757] lr: 1.000e-02 eta: 1 day, 0:21:30 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.3724 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2001 loss: 2.2001 2022/06/29 18:46:58 - mmengine - INFO - Epoch(train) [16][1220/3757] lr: 1.000e-02 eta: 1 day, 0:21:24 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 5.1102 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9022 loss: 2.9022 2022/06/29 18:47:03 - mmengine - INFO - Epoch(train) [16][1240/3757] lr: 1.000e-02 eta: 1 day, 0:21:17 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 5.1877 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0344 loss: 2.0344 2022/06/29 18:47:09 - mmengine - INFO - Epoch(train) [16][1260/3757] lr: 1.000e-02 eta: 1 day, 0:21:12 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 4.9122 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3459 loss: 2.3459 2022/06/29 18:47:14 - mmengine - INFO - Epoch(train) [16][1280/3757] lr: 1.000e-02 eta: 1 day, 0:21:05 time: 0.248 data_time: 0.017 memory: 6404 grad_norm: 5.6979 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7209 loss: 1.7209 2022/06/29 18:47:19 - mmengine - INFO - Epoch(train) [16][1300/3757] lr: 1.000e-02 eta: 1 day, 0:20:58 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 4.9103 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0844 loss: 2.0844 2022/06/29 18:47:25 - mmengine - INFO - Epoch(train) [16][1320/3757] lr: 1.000e-02 eta: 1 day, 0:20:55 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.2766 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9213 loss: 1.9213 2022/06/29 18:47:30 - mmengine - INFO - Epoch(train) [16][1340/3757] lr: 1.000e-02 eta: 1 day, 0:20:48 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 5.1898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1362 loss: 2.1362 2022/06/29 18:47:36 - mmengine - INFO - Epoch(train) [16][1360/3757] lr: 1.000e-02 eta: 1 day, 0:20:42 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.6159 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1362 loss: 2.1362 2022/06/29 18:47:42 - mmengine - INFO - Epoch(train) [16][1380/3757] lr: 1.000e-02 eta: 1 day, 0:20:39 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.6463 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1138 loss: 2.1138 2022/06/29 18:47:47 - mmengine - INFO - Epoch(train) [16][1400/3757] lr: 1.000e-02 eta: 1 day, 0:20:32 time: 0.246 data_time: 0.013 memory: 6404 grad_norm: 5.6489 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7741 loss: 1.7741 2022/06/29 18:47:53 - mmengine - INFO - Epoch(train) [16][1420/3757] lr: 1.000e-02 eta: 1 day, 0:20:28 time: 0.240 data_time: 0.012 memory: 6404 grad_norm: 5.0921 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0569 loss: 2.0569 2022/06/29 18:47:58 - mmengine - INFO - Epoch(train) [16][1440/3757] lr: 1.000e-02 eta: 1 day, 0:20:21 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 5.2960 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1809 loss: 2.1809 2022/06/29 18:48:04 - mmengine - INFO - Epoch(train) [16][1460/3757] lr: 1.000e-02 eta: 1 day, 0:20:17 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.5088 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1623 loss: 2.1623 2022/06/29 18:48:09 - mmengine - INFO - Epoch(train) [16][1480/3757] lr: 1.000e-02 eta: 1 day, 0:20:09 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.9964 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0689 loss: 2.0689 2022/06/29 18:48:15 - mmengine - INFO - Epoch(train) [16][1500/3757] lr: 1.000e-02 eta: 1 day, 0:20:05 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 6.4796 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.2972 loss: 2.2972 2022/06/29 18:48:20 - mmengine - INFO - Epoch(train) [16][1520/3757] lr: 1.000e-02 eta: 1 day, 0:19:57 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.2354 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9814 loss: 1.9814 2022/06/29 18:48:26 - mmengine - INFO - Epoch(train) [16][1540/3757] lr: 1.000e-02 eta: 1 day, 0:19:53 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 5.4978 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4920 loss: 2.4920 2022/06/29 18:48:31 - mmengine - INFO - Epoch(train) [16][1560/3757] lr: 1.000e-02 eta: 1 day, 0:19:49 time: 0.266 data_time: 0.006 memory: 6404 grad_norm: 5.6427 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0618 loss: 2.0618 2022/06/29 18:48:37 - mmengine - INFO - Epoch(train) [16][1580/3757] lr: 1.000e-02 eta: 1 day, 0:19:43 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 5.1970 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.0732 loss: 2.0732 2022/06/29 18:48:43 - mmengine - INFO - Epoch(train) [16][1600/3757] lr: 1.000e-02 eta: 1 day, 0:19:40 time: 0.268 data_time: 0.025 memory: 6404 grad_norm: 5.5907 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0156 loss: 2.0156 2022/06/29 18:48:48 - mmengine - INFO - Epoch(train) [16][1620/3757] lr: 1.000e-02 eta: 1 day, 0:19:32 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.3329 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8993 loss: 1.8993 2022/06/29 18:48:53 - mmengine - INFO - Epoch(train) [16][1640/3757] lr: 1.000e-02 eta: 1 day, 0:19:24 time: 0.264 data_time: 0.011 memory: 6404 grad_norm: 6.2499 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4955 loss: 2.4955 2022/06/29 18:48:55 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 18:48:58 - mmengine - INFO - Epoch(train) [16][1660/3757] lr: 1.000e-02 eta: 1 day, 0:19:19 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.6808 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1731 loss: 2.1731 2022/06/29 18:49:05 - mmengine - INFO - Epoch(train) [16][1680/3757] lr: 1.000e-02 eta: 1 day, 0:19:16 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 5.3508 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5523 loss: 2.5523 2022/06/29 18:49:10 - mmengine - INFO - Epoch(train) [16][1700/3757] lr: 1.000e-02 eta: 1 day, 0:19:10 time: 0.271 data_time: 0.013 memory: 6404 grad_norm: 5.0455 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9635 loss: 1.9635 2022/06/29 18:49:15 - mmengine - INFO - Epoch(train) [16][1720/3757] lr: 1.000e-02 eta: 1 day, 0:19:05 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.7618 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1078 loss: 2.1078 2022/06/29 18:49:21 - mmengine - INFO - Epoch(train) [16][1740/3757] lr: 1.000e-02 eta: 1 day, 0:18:57 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 4.9640 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2637 loss: 2.2637 2022/06/29 18:49:26 - mmengine - INFO - Epoch(train) [16][1760/3757] lr: 1.000e-02 eta: 1 day, 0:18:50 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.7344 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2145 loss: 2.2145 2022/06/29 18:49:32 - mmengine - INFO - Epoch(train) [16][1780/3757] lr: 1.000e-02 eta: 1 day, 0:18:46 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 5.0784 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1700 loss: 2.1700 2022/06/29 18:49:37 - mmengine - INFO - Epoch(train) [16][1800/3757] lr: 1.000e-02 eta: 1 day, 0:18:41 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.6007 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2310 loss: 2.2310 2022/06/29 18:49:43 - mmengine - INFO - Epoch(train) [16][1820/3757] lr: 1.000e-02 eta: 1 day, 0:18:36 time: 0.275 data_time: 0.006 memory: 6404 grad_norm: 5.7640 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7317 loss: 1.7317 2022/06/29 18:49:48 - mmengine - INFO - Epoch(train) [16][1840/3757] lr: 1.000e-02 eta: 1 day, 0:18:28 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.8743 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1047 loss: 2.1047 2022/06/29 18:49:53 - mmengine - INFO - Epoch(train) [16][1860/3757] lr: 1.000e-02 eta: 1 day, 0:18:21 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.4393 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2763 loss: 2.2763 2022/06/29 18:49:59 - mmengine - INFO - Epoch(train) [16][1880/3757] lr: 1.000e-02 eta: 1 day, 0:18:15 time: 0.272 data_time: 0.014 memory: 6404 grad_norm: 6.5169 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7088 loss: 2.7088 2022/06/29 18:50:05 - mmengine - INFO - Epoch(train) [16][1900/3757] lr: 1.000e-02 eta: 1 day, 0:18:12 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.5507 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2675 loss: 2.2675 2022/06/29 18:50:10 - mmengine - INFO - Epoch(train) [16][1920/3757] lr: 1.000e-02 eta: 1 day, 0:18:08 time: 0.260 data_time: 0.006 memory: 6404 grad_norm: 6.3354 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4080 loss: 2.4080 2022/06/29 18:50:16 - mmengine - INFO - Epoch(train) [16][1940/3757] lr: 1.000e-02 eta: 1 day, 0:18:01 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 5.4663 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1580 loss: 2.1580 2022/06/29 18:50:21 - mmengine - INFO - Epoch(train) [16][1960/3757] lr: 1.000e-02 eta: 1 day, 0:17:56 time: 0.323 data_time: 0.009 memory: 6404 grad_norm: 5.5653 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0127 loss: 2.0127 2022/06/29 18:50:26 - mmengine - INFO - Epoch(train) [16][1980/3757] lr: 1.000e-02 eta: 1 day, 0:17:49 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.5389 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9835 loss: 1.9835 2022/06/29 18:50:32 - mmengine - INFO - Epoch(train) [16][2000/3757] lr: 1.000e-02 eta: 1 day, 0:17:44 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 6.2717 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0302 loss: 2.0302 2022/06/29 18:50:37 - mmengine - INFO - Epoch(train) [16][2020/3757] lr: 1.000e-02 eta: 1 day, 0:17:38 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.6601 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0036 loss: 2.0036 2022/06/29 18:50:43 - mmengine - INFO - Epoch(train) [16][2040/3757] lr: 1.000e-02 eta: 1 day, 0:17:33 time: 0.275 data_time: 0.014 memory: 6404 grad_norm: 5.6131 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0548 loss: 2.0548 2022/06/29 18:50:49 - mmengine - INFO - Epoch(train) [16][2060/3757] lr: 1.000e-02 eta: 1 day, 0:17:28 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.2137 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4794 loss: 2.4794 2022/06/29 18:50:54 - mmengine - INFO - Epoch(train) [16][2080/3757] lr: 1.000e-02 eta: 1 day, 0:17:22 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.2780 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3616 loss: 2.3616 2022/06/29 18:51:00 - mmengine - INFO - Epoch(train) [16][2100/3757] lr: 1.000e-02 eta: 1 day, 0:17:16 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 6.0177 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2514 loss: 2.2514 2022/06/29 18:51:05 - mmengine - INFO - Epoch(train) [16][2120/3757] lr: 1.000e-02 eta: 1 day, 0:17:09 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 5.6625 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2677 loss: 2.2677 2022/06/29 18:51:11 - mmengine - INFO - Epoch(train) [16][2140/3757] lr: 1.000e-02 eta: 1 day, 0:17:05 time: 0.244 data_time: 0.009 memory: 6404 grad_norm: 5.3002 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0803 loss: 2.0803 2022/06/29 18:51:16 - mmengine - INFO - Epoch(train) [16][2160/3757] lr: 1.000e-02 eta: 1 day, 0:16:59 time: 0.493 data_time: 0.016 memory: 6404 grad_norm: 6.1608 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3113 loss: 2.3113 2022/06/29 18:51:21 - mmengine - INFO - Epoch(train) [16][2180/3757] lr: 1.000e-02 eta: 1 day, 0:16:52 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 6.0969 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2841 loss: 2.2841 2022/06/29 18:51:27 - mmengine - INFO - Epoch(train) [16][2200/3757] lr: 1.000e-02 eta: 1 day, 0:16:49 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.9678 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0887 loss: 2.0887 2022/06/29 18:51:33 - mmengine - INFO - Epoch(train) [16][2220/3757] lr: 1.000e-02 eta: 1 day, 0:16:46 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.9892 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2789 loss: 2.2789 2022/06/29 18:51:39 - mmengine - INFO - Epoch(train) [16][2240/3757] lr: 1.000e-02 eta: 1 day, 0:16:40 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.3731 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7945 loss: 1.7945 2022/06/29 18:51:44 - mmengine - INFO - Epoch(train) [16][2260/3757] lr: 1.000e-02 eta: 1 day, 0:16:35 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 4.9014 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1603 loss: 2.1603 2022/06/29 18:51:50 - mmengine - INFO - Epoch(train) [16][2280/3757] lr: 1.000e-02 eta: 1 day, 0:16:30 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.3549 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.0436 loss: 2.0436 2022/06/29 18:51:55 - mmengine - INFO - Epoch(train) [16][2300/3757] lr: 1.000e-02 eta: 1 day, 0:16:25 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.7416 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4100 loss: 2.4100 2022/06/29 18:52:01 - mmengine - INFO - Epoch(train) [16][2320/3757] lr: 1.000e-02 eta: 1 day, 0:16:18 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.5694 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0278 loss: 2.0278 2022/06/29 18:52:06 - mmengine - INFO - Epoch(train) [16][2340/3757] lr: 1.000e-02 eta: 1 day, 0:16:11 time: 0.267 data_time: 0.006 memory: 6404 grad_norm: 5.2395 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7690 loss: 1.7690 2022/06/29 18:52:11 - mmengine - INFO - Epoch(train) [16][2360/3757] lr: 1.000e-02 eta: 1 day, 0:16:04 time: 0.324 data_time: 0.006 memory: 6404 grad_norm: 5.0138 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.6794 loss: 1.6794 2022/06/29 18:52:17 - mmengine - INFO - Epoch(train) [16][2380/3757] lr: 1.000e-02 eta: 1 day, 0:15:59 time: 0.236 data_time: 0.006 memory: 6404 grad_norm: 5.4371 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1027 loss: 2.1027 2022/06/29 18:52:22 - mmengine - INFO - Epoch(train) [16][2400/3757] lr: 1.000e-02 eta: 1 day, 0:15:53 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.3256 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7276 loss: 1.7276 2022/06/29 18:52:28 - mmengine - INFO - Epoch(train) [16][2420/3757] lr: 1.000e-02 eta: 1 day, 0:15:47 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.8671 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9688 loss: 1.9688 2022/06/29 18:52:34 - mmengine - INFO - Epoch(train) [16][2440/3757] lr: 1.000e-02 eta: 1 day, 0:15:44 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.5419 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2395 loss: 2.2395 2022/06/29 18:52:39 - mmengine - INFO - Epoch(train) [16][2460/3757] lr: 1.000e-02 eta: 1 day, 0:15:36 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 6.2509 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8678 loss: 1.8678 2022/06/29 18:52:44 - mmengine - INFO - Epoch(train) [16][2480/3757] lr: 1.000e-02 eta: 1 day, 0:15:30 time: 0.237 data_time: 0.006 memory: 6404 grad_norm: 5.6945 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1448 loss: 2.1448 2022/06/29 18:52:50 - mmengine - INFO - Epoch(train) [16][2500/3757] lr: 1.000e-02 eta: 1 day, 0:15:26 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.9798 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0794 loss: 2.0794 2022/06/29 18:52:56 - mmengine - INFO - Epoch(train) [16][2520/3757] lr: 1.000e-02 eta: 1 day, 0:15:21 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.1975 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4852 loss: 2.4852 2022/06/29 18:53:01 - mmengine - INFO - Epoch(train) [16][2540/3757] lr: 1.000e-02 eta: 1 day, 0:15:13 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 5.5358 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1895 loss: 2.1895 2022/06/29 18:53:06 - mmengine - INFO - Epoch(train) [16][2560/3757] lr: 1.000e-02 eta: 1 day, 0:15:06 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.1724 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7409 loss: 2.7409 2022/06/29 18:53:12 - mmengine - INFO - Epoch(train) [16][2580/3757] lr: 1.000e-02 eta: 1 day, 0:15:01 time: 0.283 data_time: 0.006 memory: 6404 grad_norm: 5.4729 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4120 loss: 2.4120 2022/06/29 18:53:17 - mmengine - INFO - Epoch(train) [16][2600/3757] lr: 1.000e-02 eta: 1 day, 0:14:54 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.9820 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6603 loss: 1.6603 2022/06/29 18:53:22 - mmengine - INFO - Epoch(train) [16][2620/3757] lr: 1.000e-02 eta: 1 day, 0:14:48 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.3765 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0093 loss: 2.0093 2022/06/29 18:53:27 - mmengine - INFO - Epoch(train) [16][2640/3757] lr: 1.000e-02 eta: 1 day, 0:14:42 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 5.1745 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9507 loss: 1.9507 2022/06/29 18:53:29 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 18:53:34 - mmengine - INFO - Epoch(train) [16][2660/3757] lr: 1.000e-02 eta: 1 day, 0:14:39 time: 0.246 data_time: 0.012 memory: 6404 grad_norm: 5.9819 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0701 loss: 2.0701 2022/06/29 18:53:39 - mmengine - INFO - Epoch(train) [16][2680/3757] lr: 1.000e-02 eta: 1 day, 0:14:32 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.4031 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0249 loss: 2.0249 2022/06/29 18:53:44 - mmengine - INFO - Epoch(train) [16][2700/3757] lr: 1.000e-02 eta: 1 day, 0:14:25 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.2779 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.3521 loss: 2.3521 2022/06/29 18:53:50 - mmengine - INFO - Epoch(train) [16][2720/3757] lr: 1.000e-02 eta: 1 day, 0:14:21 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.5989 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2806 loss: 2.2806 2022/06/29 18:53:55 - mmengine - INFO - Epoch(train) [16][2740/3757] lr: 1.000e-02 eta: 1 day, 0:14:14 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 5.8273 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2528 loss: 2.2528 2022/06/29 18:54:00 - mmengine - INFO - Epoch(train) [16][2760/3757] lr: 1.000e-02 eta: 1 day, 0:14:07 time: 0.241 data_time: 0.006 memory: 6404 grad_norm: 4.7584 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2298 loss: 2.2298 2022/06/29 18:54:06 - mmengine - INFO - Epoch(train) [16][2780/3757] lr: 1.000e-02 eta: 1 day, 0:14:00 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 4.5311 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8161 loss: 1.8161 2022/06/29 18:54:11 - mmengine - INFO - Epoch(train) [16][2800/3757] lr: 1.000e-02 eta: 1 day, 0:13:55 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 5.1281 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6108 loss: 2.6108 2022/06/29 18:54:17 - mmengine - INFO - Epoch(train) [16][2820/3757] lr: 1.000e-02 eta: 1 day, 0:13:49 time: 0.240 data_time: 0.006 memory: 6404 grad_norm: 5.5322 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3911 loss: 2.3911 2022/06/29 18:54:22 - mmengine - INFO - Epoch(train) [16][2840/3757] lr: 1.000e-02 eta: 1 day, 0:13:43 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.1420 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7604 loss: 2.7604 2022/06/29 18:54:27 - mmengine - INFO - Epoch(train) [16][2860/3757] lr: 1.000e-02 eta: 1 day, 0:13:37 time: 0.304 data_time: 0.006 memory: 6404 grad_norm: 5.2153 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2723 loss: 2.2723 2022/06/29 18:54:33 - mmengine - INFO - Epoch(train) [16][2880/3757] lr: 1.000e-02 eta: 1 day, 0:13:29 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 5.5962 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4902 loss: 2.4902 2022/06/29 18:54:38 - mmengine - INFO - Epoch(train) [16][2900/3757] lr: 1.000e-02 eta: 1 day, 0:13:25 time: 0.243 data_time: 0.009 memory: 6404 grad_norm: 5.9276 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1151 loss: 2.1151 2022/06/29 18:54:44 - mmengine - INFO - Epoch(train) [16][2920/3757] lr: 1.000e-02 eta: 1 day, 0:13:21 time: 0.241 data_time: 0.008 memory: 6404 grad_norm: 5.6421 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2503 loss: 2.2503 2022/06/29 18:54:49 - mmengine - INFO - Epoch(train) [16][2940/3757] lr: 1.000e-02 eta: 1 day, 0:13:14 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 4.9249 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9319 loss: 1.9319 2022/06/29 18:54:55 - mmengine - INFO - Epoch(train) [16][2960/3757] lr: 1.000e-02 eta: 1 day, 0:13:08 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.9990 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9681 loss: 1.9681 2022/06/29 18:55:00 - mmengine - INFO - Epoch(train) [16][2980/3757] lr: 1.000e-02 eta: 1 day, 0:13:03 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.2939 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4576 loss: 2.4576 2022/06/29 18:55:06 - mmengine - INFO - Epoch(train) [16][3000/3757] lr: 1.000e-02 eta: 1 day, 0:12:57 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 5.8302 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2120 loss: 2.2120 2022/06/29 18:55:11 - mmengine - INFO - Epoch(train) [16][3020/3757] lr: 1.000e-02 eta: 1 day, 0:12:49 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 5.3571 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2058 loss: 2.2058 2022/06/29 18:55:16 - mmengine - INFO - Epoch(train) [16][3040/3757] lr: 1.000e-02 eta: 1 day, 0:12:43 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 6.6339 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9207 loss: 1.9207 2022/06/29 18:55:22 - mmengine - INFO - Epoch(train) [16][3060/3757] lr: 1.000e-02 eta: 1 day, 0:12:37 time: 0.344 data_time: 0.028 memory: 6404 grad_norm: 6.0785 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5716 loss: 1.5716 2022/06/29 18:55:28 - mmengine - INFO - Epoch(train) [16][3080/3757] lr: 1.000e-02 eta: 1 day, 0:12:34 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 5.2332 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9233 loss: 1.9233 2022/06/29 18:55:33 - mmengine - INFO - Epoch(train) [16][3100/3757] lr: 1.000e-02 eta: 1 day, 0:12:30 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 5.4783 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8837 loss: 1.8837 2022/06/29 18:55:39 - mmengine - INFO - Epoch(train) [16][3120/3757] lr: 1.000e-02 eta: 1 day, 0:12:23 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.1973 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2169 loss: 2.2169 2022/06/29 18:55:44 - mmengine - INFO - Epoch(train) [16][3140/3757] lr: 1.000e-02 eta: 1 day, 0:12:15 time: 0.263 data_time: 0.006 memory: 6404 grad_norm: 4.9946 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2350 loss: 2.2350 2022/06/29 18:55:49 - mmengine - INFO - Epoch(train) [16][3160/3757] lr: 1.000e-02 eta: 1 day, 0:12:08 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.2886 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7214 loss: 1.7214 2022/06/29 18:55:54 - mmengine - INFO - Epoch(train) [16][3180/3757] lr: 1.000e-02 eta: 1 day, 0:12:01 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 5.1798 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3692 loss: 2.3692 2022/06/29 18:56:00 - mmengine - INFO - Epoch(train) [16][3200/3757] lr: 1.000e-02 eta: 1 day, 0:11:57 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.0100 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2499 loss: 2.2499 2022/06/29 18:56:06 - mmengine - INFO - Epoch(train) [16][3220/3757] lr: 1.000e-02 eta: 1 day, 0:11:51 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.9317 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0216 loss: 2.0216 2022/06/29 18:56:11 - mmengine - INFO - Epoch(train) [16][3240/3757] lr: 1.000e-02 eta: 1 day, 0:11:43 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.7609 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0760 loss: 2.0760 2022/06/29 18:56:16 - mmengine - INFO - Epoch(train) [16][3260/3757] lr: 1.000e-02 eta: 1 day, 0:11:37 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 6.2661 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6127 loss: 2.6127 2022/06/29 18:56:21 - mmengine - INFO - Epoch(train) [16][3280/3757] lr: 1.000e-02 eta: 1 day, 0:11:30 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.6633 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5570 loss: 2.5570 2022/06/29 18:56:26 - mmengine - INFO - Epoch(train) [16][3300/3757] lr: 1.000e-02 eta: 1 day, 0:11:23 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 5.6100 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2173 loss: 2.2173 2022/06/29 18:56:32 - mmengine - INFO - Epoch(train) [16][3320/3757] lr: 1.000e-02 eta: 1 day, 0:11:17 time: 0.347 data_time: 0.008 memory: 6404 grad_norm: 5.9473 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7257 loss: 1.7257 2022/06/29 18:56:37 - mmengine - INFO - Epoch(train) [16][3340/3757] lr: 1.000e-02 eta: 1 day, 0:11:10 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 5.5279 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3403 loss: 2.3403 2022/06/29 18:56:43 - mmengine - INFO - Epoch(train) [16][3360/3757] lr: 1.000e-02 eta: 1 day, 0:11:06 time: 0.563 data_time: 0.006 memory: 6404 grad_norm: 5.0168 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8128 loss: 1.8128 2022/06/29 18:56:48 - mmengine - INFO - Epoch(train) [16][3380/3757] lr: 1.000e-02 eta: 1 day, 0:10:58 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 6.7129 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4183 loss: 2.4183 2022/06/29 18:56:54 - mmengine - INFO - Epoch(train) [16][3400/3757] lr: 1.000e-02 eta: 1 day, 0:10:54 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 4.9428 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1053 loss: 2.1053 2022/06/29 18:56:59 - mmengine - INFO - Epoch(train) [16][3420/3757] lr: 1.000e-02 eta: 1 day, 0:10:49 time: 0.562 data_time: 0.006 memory: 6404 grad_norm: 5.2520 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2139 loss: 2.2139 2022/06/29 18:57:05 - mmengine - INFO - Epoch(train) [16][3440/3757] lr: 1.000e-02 eta: 1 day, 0:10:42 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.0559 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9417 loss: 1.9417 2022/06/29 18:57:11 - mmengine - INFO - Epoch(train) [16][3460/3757] lr: 1.000e-02 eta: 1 day, 0:10:39 time: 0.249 data_time: 0.028 memory: 6404 grad_norm: 6.4960 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1139 loss: 2.1139 2022/06/29 18:57:16 - mmengine - INFO - Epoch(train) [16][3480/3757] lr: 1.000e-02 eta: 1 day, 0:10:34 time: 0.413 data_time: 0.006 memory: 6404 grad_norm: 5.5675 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2116 loss: 2.2116 2022/06/29 18:57:22 - mmengine - INFO - Epoch(train) [16][3500/3757] lr: 1.000e-02 eta: 1 day, 0:10:30 time: 0.410 data_time: 0.011 memory: 6404 grad_norm: 4.8994 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4810 loss: 1.4810 2022/06/29 18:57:27 - mmengine - INFO - Epoch(train) [16][3520/3757] lr: 1.000e-02 eta: 1 day, 0:10:23 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 5.3628 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1074 loss: 2.1074 2022/06/29 18:57:33 - mmengine - INFO - Epoch(train) [16][3540/3757] lr: 1.000e-02 eta: 1 day, 0:10:17 time: 0.536 data_time: 0.006 memory: 6404 grad_norm: 4.9000 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1234 loss: 2.1234 2022/06/29 18:57:38 - mmengine - INFO - Epoch(train) [16][3560/3757] lr: 1.000e-02 eta: 1 day, 0:10:12 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 5.7553 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0873 loss: 2.0873 2022/06/29 18:57:44 - mmengine - INFO - Epoch(train) [16][3580/3757] lr: 1.000e-02 eta: 1 day, 0:10:06 time: 0.242 data_time: 0.020 memory: 6404 grad_norm: 5.2191 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0458 loss: 2.0458 2022/06/29 18:57:49 - mmengine - INFO - Epoch(train) [16][3600/3757] lr: 1.000e-02 eta: 1 day, 0:09:58 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 6.1332 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1929 loss: 2.1929 2022/06/29 18:57:54 - mmengine - INFO - Epoch(train) [16][3620/3757] lr: 1.000e-02 eta: 1 day, 0:09:50 time: 0.257 data_time: 0.016 memory: 6404 grad_norm: 5.8205 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0664 loss: 2.0664 2022/06/29 18:57:59 - mmengine - INFO - Epoch(train) [16][3640/3757] lr: 1.000e-02 eta: 1 day, 0:09:45 time: 0.256 data_time: 0.017 memory: 6404 grad_norm: 5.6433 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1068 loss: 2.1068 2022/06/29 18:58:01 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 18:58:05 - mmengine - INFO - Epoch(train) [16][3660/3757] lr: 1.000e-02 eta: 1 day, 0:09:39 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 6.0231 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9529 loss: 1.9529 2022/06/29 18:58:10 - mmengine - INFO - Epoch(train) [16][3680/3757] lr: 1.000e-02 eta: 1 day, 0:09:33 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 4.8807 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1341 loss: 2.1341 2022/06/29 18:58:15 - mmengine - INFO - Epoch(train) [16][3700/3757] lr: 1.000e-02 eta: 1 day, 0:09:26 time: 0.242 data_time: 0.029 memory: 6404 grad_norm: 5.6540 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5601 loss: 2.5601 2022/06/29 18:58:21 - mmengine - INFO - Epoch(train) [16][3720/3757] lr: 1.000e-02 eta: 1 day, 0:09:21 time: 0.424 data_time: 0.010 memory: 6404 grad_norm: 5.4045 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0154 loss: 2.0154 2022/06/29 18:58:26 - mmengine - INFO - Epoch(train) [16][3740/3757] lr: 1.000e-02 eta: 1 day, 0:09:15 time: 0.252 data_time: 0.020 memory: 6404 grad_norm: 4.3586 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9004 loss: 1.9004 2022/06/29 18:58:30 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 18:58:38 - mmengine - INFO - Epoch(val) [16][20/310] eta: 0:01:30 time: 0.094 data_time: 0.012 memory: 6404 2022/06/29 18:58:44 - mmengine - INFO - Epoch(val) [16][40/310] eta: 0:01:11 time: 0.088 data_time: 0.007 memory: 1479 2022/06/29 18:58:47 - mmengine - INFO - Epoch(val) [16][60/310] eta: 0:00:22 time: 0.091 data_time: 0.006 memory: 1479 2022/06/29 18:58:53 - mmengine - INFO - Epoch(val) [16][80/310] eta: 0:01:14 time: 0.080 data_time: 0.007 memory: 1479 2022/06/29 18:58:59 - mmengine - INFO - Epoch(val) [16][100/310] eta: 0:01:04 time: 0.085 data_time: 0.010 memory: 1479 2022/06/29 18:59:03 - mmengine - INFO - Epoch(val) [16][120/310] eta: 0:00:16 time: 0.089 data_time: 0.006 memory: 1479 2022/06/29 18:59:09 - mmengine - INFO - Epoch(val) [16][140/310] eta: 0:00:53 time: 0.086 data_time: 0.012 memory: 1479 2022/06/29 18:59:16 - mmengine - INFO - Epoch(val) [16][160/310] eta: 0:00:51 time: 1.373 data_time: 1.281 memory: 1479 2022/06/29 18:59:20 - mmengine - INFO - Epoch(val) [16][180/310] eta: 0:00:26 time: 0.098 data_time: 0.012 memory: 1479 2022/06/29 18:59:26 - mmengine - INFO - Epoch(val) [16][200/310] eta: 0:00:33 time: 0.083 data_time: 0.009 memory: 1479 2022/06/29 18:59:32 - mmengine - INFO - Epoch(val) [16][220/310] eta: 0:00:26 time: 0.760 data_time: 0.679 memory: 1479 2022/06/29 18:59:35 - mmengine - INFO - Epoch(val) [16][240/310] eta: 0:00:10 time: 0.090 data_time: 0.005 memory: 1479 2022/06/29 18:59:42 - mmengine - INFO - Epoch(val) [16][260/310] eta: 0:00:16 time: 0.105 data_time: 0.014 memory: 1479 2022/06/29 18:59:48 - mmengine - INFO - Epoch(val) [16][280/310] eta: 0:00:09 time: 1.551 data_time: 1.470 memory: 1479 2022/06/29 18:59:52 - mmengine - INFO - Epoch(val) [16][300/310] eta: 0:00:02 time: 0.084 data_time: 0.005 memory: 1479 2022/06/29 18:59:55 - mmengine - INFO - Epoch(val) [16][310/310] acc/top1: 0.5376 acc/top5: 0.7862 acc/mean1: 0.5375 2022/06/29 19:00:04 - mmengine - INFO - Epoch(train) [17][20/3757] lr: 1.000e-02 eta: 1 day, 0:09:10 time: 0.249 data_time: 0.014 memory: 6404 grad_norm: 5.6401 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2873 loss: 2.2873 2022/06/29 19:00:10 - mmengine - INFO - Epoch(train) [17][40/3757] lr: 1.000e-02 eta: 1 day, 0:09:08 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 6.0729 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3582 loss: 2.3582 2022/06/29 19:00:16 - mmengine - INFO - Epoch(train) [17][60/3757] lr: 1.000e-02 eta: 1 day, 0:09:03 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.3425 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6533 loss: 2.6533 2022/06/29 19:00:22 - mmengine - INFO - Epoch(train) [17][80/3757] lr: 1.000e-02 eta: 1 day, 0:09:00 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 5.8995 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9322 loss: 1.9322 2022/06/29 19:00:28 - mmengine - INFO - Epoch(train) [17][100/3757] lr: 1.000e-02 eta: 1 day, 0:08:55 time: 0.243 data_time: 0.012 memory: 6404 grad_norm: 5.5351 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4535 loss: 2.4535 2022/06/29 19:00:33 - mmengine - INFO - Epoch(train) [17][120/3757] lr: 1.000e-02 eta: 1 day, 0:08:52 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.6537 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.4022 loss: 2.4022 2022/06/29 19:00:38 - mmengine - INFO - Epoch(train) [17][140/3757] lr: 1.000e-02 eta: 1 day, 0:08:44 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 5.3175 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7172 loss: 1.7172 2022/06/29 19:00:44 - mmengine - INFO - Epoch(train) [17][160/3757] lr: 1.000e-02 eta: 1 day, 0:08:36 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.1248 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1318 loss: 2.1318 2022/06/29 19:00:49 - mmengine - INFO - Epoch(train) [17][180/3757] lr: 1.000e-02 eta: 1 day, 0:08:29 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.1015 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1007 loss: 2.1007 2022/06/29 19:00:54 - mmengine - INFO - Epoch(train) [17][200/3757] lr: 1.000e-02 eta: 1 day, 0:08:24 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 4.7709 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2700 loss: 2.2700 2022/06/29 19:01:00 - mmengine - INFO - Epoch(train) [17][220/3757] lr: 1.000e-02 eta: 1 day, 0:08:21 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 6.1163 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1277 loss: 2.1277 2022/06/29 19:01:05 - mmengine - INFO - Epoch(train) [17][240/3757] lr: 1.000e-02 eta: 1 day, 0:08:13 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.4097 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3577 loss: 2.3577 2022/06/29 19:01:11 - mmengine - INFO - Epoch(train) [17][260/3757] lr: 1.000e-02 eta: 1 day, 0:08:09 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.3681 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7464 loss: 1.7464 2022/06/29 19:01:17 - mmengine - INFO - Epoch(train) [17][280/3757] lr: 1.000e-02 eta: 1 day, 0:08:05 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.5704 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9744 loss: 1.9744 2022/06/29 19:01:22 - mmengine - INFO - Epoch(train) [17][300/3757] lr: 1.000e-02 eta: 1 day, 0:07:57 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.6092 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.9804 loss: 1.9804 2022/06/29 19:01:28 - mmengine - INFO - Epoch(train) [17][320/3757] lr: 1.000e-02 eta: 1 day, 0:07:51 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 5.3500 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9298 loss: 1.9298 2022/06/29 19:01:33 - mmengine - INFO - Epoch(train) [17][340/3757] lr: 1.000e-02 eta: 1 day, 0:07:47 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 6.1857 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6775 loss: 1.6775 2022/06/29 19:01:39 - mmengine - INFO - Epoch(train) [17][360/3757] lr: 1.000e-02 eta: 1 day, 0:07:44 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 5.4003 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9368 loss: 1.9368 2022/06/29 19:01:45 - mmengine - INFO - Epoch(train) [17][380/3757] lr: 1.000e-02 eta: 1 day, 0:07:38 time: 0.240 data_time: 0.009 memory: 6404 grad_norm: 5.3014 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9260 loss: 1.9260 2022/06/29 19:01:50 - mmengine - INFO - Epoch(train) [17][400/3757] lr: 1.000e-02 eta: 1 day, 0:07:30 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.7746 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2364 loss: 2.2364 2022/06/29 19:01:55 - mmengine - INFO - Epoch(train) [17][420/3757] lr: 1.000e-02 eta: 1 day, 0:07:23 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 6.3526 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1983 loss: 2.1983 2022/06/29 19:02:00 - mmengine - INFO - Epoch(train) [17][440/3757] lr: 1.000e-02 eta: 1 day, 0:07:17 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 4.7509 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1187 loss: 2.1187 2022/06/29 19:02:06 - mmengine - INFO - Epoch(train) [17][460/3757] lr: 1.000e-02 eta: 1 day, 0:07:13 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.5587 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7280 loss: 1.7280 2022/06/29 19:02:12 - mmengine - INFO - Epoch(train) [17][480/3757] lr: 1.000e-02 eta: 1 day, 0:07:08 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.4941 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0694 loss: 2.0694 2022/06/29 19:02:17 - mmengine - INFO - Epoch(train) [17][500/3757] lr: 1.000e-02 eta: 1 day, 0:07:00 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 5.7279 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0304 loss: 2.0304 2022/06/29 19:02:23 - mmengine - INFO - Epoch(train) [17][520/3757] lr: 1.000e-02 eta: 1 day, 0:06:57 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.4561 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7898 loss: 1.7898 2022/06/29 19:02:28 - mmengine - INFO - Epoch(train) [17][540/3757] lr: 1.000e-02 eta: 1 day, 0:06:50 time: 0.240 data_time: 0.007 memory: 6404 grad_norm: 5.8756 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8084 loss: 1.8084 2022/06/29 19:02:34 - mmengine - INFO - Epoch(train) [17][560/3757] lr: 1.000e-02 eta: 1 day, 0:06:47 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 4.8048 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8834 loss: 1.8834 2022/06/29 19:02:40 - mmengine - INFO - Epoch(train) [17][580/3757] lr: 1.000e-02 eta: 1 day, 0:06:42 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.9612 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3526 loss: 2.3526 2022/06/29 19:02:45 - mmengine - INFO - Epoch(train) [17][600/3757] lr: 1.000e-02 eta: 1 day, 0:06:35 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.8120 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0600 loss: 2.0600 2022/06/29 19:02:50 - mmengine - INFO - Epoch(train) [17][620/3757] lr: 1.000e-02 eta: 1 day, 0:06:29 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 5.5193 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0311 loss: 2.0311 2022/06/29 19:02:56 - mmengine - INFO - Epoch(train) [17][640/3757] lr: 1.000e-02 eta: 1 day, 0:06:23 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.8122 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9659 loss: 1.9659 2022/06/29 19:03:01 - mmengine - INFO - Epoch(train) [17][660/3757] lr: 1.000e-02 eta: 1 day, 0:06:16 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.3525 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0388 loss: 2.0388 2022/06/29 19:03:07 - mmengine - INFO - Epoch(train) [17][680/3757] lr: 1.000e-02 eta: 1 day, 0:06:11 time: 0.260 data_time: 0.009 memory: 6404 grad_norm: 4.7295 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2707 loss: 2.2707 2022/06/29 19:03:12 - mmengine - INFO - Epoch(train) [17][700/3757] lr: 1.000e-02 eta: 1 day, 0:06:03 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.1950 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9869 loss: 1.9869 2022/06/29 19:03:17 - mmengine - INFO - Epoch(train) [17][720/3757] lr: 1.000e-02 eta: 1 day, 0:05:58 time: 0.266 data_time: 0.010 memory: 6404 grad_norm: 5.2449 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5289 loss: 1.5289 2022/06/29 19:03:23 - mmengine - INFO - Epoch(train) [17][740/3757] lr: 1.000e-02 eta: 1 day, 0:05:52 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.0390 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2405 loss: 2.2405 2022/06/29 19:03:28 - mmengine - INFO - Epoch(train) [17][760/3757] lr: 1.000e-02 eta: 1 day, 0:05:46 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 4.9933 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0595 loss: 2.0595 2022/06/29 19:03:34 - mmengine - INFO - Epoch(train) [17][780/3757] lr: 1.000e-02 eta: 1 day, 0:05:44 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 5.9061 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0176 loss: 2.0176 2022/06/29 19:03:39 - mmengine - INFO - Epoch(train) [17][800/3757] lr: 1.000e-02 eta: 1 day, 0:05:36 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 5.2734 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8990 loss: 1.8990 2022/06/29 19:03:45 - mmengine - INFO - Epoch(train) [17][820/3757] lr: 1.000e-02 eta: 1 day, 0:05:29 time: 0.243 data_time: 0.006 memory: 6404 grad_norm: 5.1598 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2174 loss: 2.2174 2022/06/29 19:03:50 - mmengine - INFO - Epoch(train) [17][840/3757] lr: 1.000e-02 eta: 1 day, 0:05:22 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.1507 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3732 loss: 2.3732 2022/06/29 19:03:55 - mmengine - INFO - Epoch(train) [17][860/3757] lr: 1.000e-02 eta: 1 day, 0:05:16 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 5.2041 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9799 loss: 1.9799 2022/06/29 19:04:00 - mmengine - INFO - Epoch(train) [17][880/3757] lr: 1.000e-02 eta: 1 day, 0:05:08 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 4.7917 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8740 loss: 2.8740 2022/06/29 19:04:02 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 19:04:06 - mmengine - INFO - Epoch(train) [17][900/3757] lr: 1.000e-02 eta: 1 day, 0:05:01 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.0305 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1269 loss: 2.1269 2022/06/29 19:04:11 - mmengine - INFO - Epoch(train) [17][920/3757] lr: 1.000e-02 eta: 1 day, 0:04:54 time: 0.242 data_time: 0.014 memory: 6404 grad_norm: 5.6559 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2571 loss: 2.2571 2022/06/29 19:04:17 - mmengine - INFO - Epoch(train) [17][940/3757] lr: 1.000e-02 eta: 1 day, 0:04:50 time: 0.313 data_time: 0.016 memory: 6404 grad_norm: 5.2794 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5812 loss: 2.5812 2022/06/29 19:04:22 - mmengine - INFO - Epoch(train) [17][960/3757] lr: 1.000e-02 eta: 1 day, 0:04:44 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.1837 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8373 loss: 1.8373 2022/06/29 19:04:28 - mmengine - INFO - Epoch(train) [17][980/3757] lr: 1.000e-02 eta: 1 day, 0:04:39 time: 0.245 data_time: 0.015 memory: 6404 grad_norm: 5.3827 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9497 loss: 1.9497 2022/06/29 19:04:33 - mmengine - INFO - Epoch(train) [17][1000/3757] lr: 1.000e-02 eta: 1 day, 0:04:34 time: 0.278 data_time: 0.009 memory: 6404 grad_norm: 5.3962 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1751 loss: 2.1751 2022/06/29 19:04:38 - mmengine - INFO - Epoch(train) [17][1020/3757] lr: 1.000e-02 eta: 1 day, 0:04:27 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 5.7633 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8710 loss: 1.8710 2022/06/29 19:04:44 - mmengine - INFO - Epoch(train) [17][1040/3757] lr: 1.000e-02 eta: 1 day, 0:04:23 time: 0.261 data_time: 0.014 memory: 6404 grad_norm: 6.2544 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2251 loss: 2.2251 2022/06/29 19:04:50 - mmengine - INFO - Epoch(train) [17][1060/3757] lr: 1.000e-02 eta: 1 day, 0:04:20 time: 0.247 data_time: 0.015 memory: 6404 grad_norm: 5.8659 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2788 loss: 2.2788 2022/06/29 19:04:56 - mmengine - INFO - Epoch(train) [17][1080/3757] lr: 1.000e-02 eta: 1 day, 0:04:15 time: 0.309 data_time: 0.117 memory: 6404 grad_norm: 4.9002 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9807 loss: 1.9807 2022/06/29 19:05:01 - mmengine - INFO - Epoch(train) [17][1100/3757] lr: 1.000e-02 eta: 1 day, 0:04:08 time: 0.246 data_time: 0.015 memory: 6404 grad_norm: 5.9929 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1887 loss: 2.1887 2022/06/29 19:05:07 - mmengine - INFO - Epoch(train) [17][1120/3757] lr: 1.000e-02 eta: 1 day, 0:04:04 time: 0.249 data_time: 0.016 memory: 6404 grad_norm: 5.1959 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2389 loss: 2.2389 2022/06/29 19:05:13 - mmengine - INFO - Epoch(train) [17][1140/3757] lr: 1.000e-02 eta: 1 day, 0:04:02 time: 0.615 data_time: 0.010 memory: 6404 grad_norm: 5.8852 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9671 loss: 1.9671 2022/06/29 19:05:18 - mmengine - INFO - Epoch(train) [17][1160/3757] lr: 1.000e-02 eta: 1 day, 0:03:54 time: 0.244 data_time: 0.014 memory: 6404 grad_norm: 5.6412 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3237 loss: 2.3237 2022/06/29 19:05:23 - mmengine - INFO - Epoch(train) [17][1180/3757] lr: 1.000e-02 eta: 1 day, 0:03:46 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 5.4981 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9341 loss: 1.9341 2022/06/29 19:05:28 - mmengine - INFO - Epoch(train) [17][1200/3757] lr: 1.000e-02 eta: 1 day, 0:03:38 time: 0.250 data_time: 0.014 memory: 6404 grad_norm: 5.3172 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1100 loss: 2.1100 2022/06/29 19:05:33 - mmengine - INFO - Epoch(train) [17][1220/3757] lr: 1.000e-02 eta: 1 day, 0:03:30 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 4.9955 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9667 loss: 1.9667 2022/06/29 19:05:38 - mmengine - INFO - Epoch(train) [17][1240/3757] lr: 1.000e-02 eta: 1 day, 0:03:22 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.4451 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4431 loss: 2.4431 2022/06/29 19:05:44 - mmengine - INFO - Epoch(train) [17][1260/3757] lr: 1.000e-02 eta: 1 day, 0:03:16 time: 0.254 data_time: 0.016 memory: 6404 grad_norm: 5.5282 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6841 loss: 1.6841 2022/06/29 19:05:49 - mmengine - INFO - Epoch(train) [17][1280/3757] lr: 1.000e-02 eta: 1 day, 0:03:11 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 6.1245 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8732 loss: 1.8732 2022/06/29 19:05:55 - mmengine - INFO - Epoch(train) [17][1300/3757] lr: 1.000e-02 eta: 1 day, 0:03:07 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.6206 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0326 loss: 2.0326 2022/06/29 19:06:00 - mmengine - INFO - Epoch(train) [17][1320/3757] lr: 1.000e-02 eta: 1 day, 0:02:59 time: 0.244 data_time: 0.009 memory: 6404 grad_norm: 5.4714 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2173 loss: 2.2173 2022/06/29 19:06:06 - mmengine - INFO - Epoch(train) [17][1340/3757] lr: 1.000e-02 eta: 1 day, 0:02:56 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 5.1925 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1328 loss: 2.1328 2022/06/29 19:06:12 - mmengine - INFO - Epoch(train) [17][1360/3757] lr: 1.000e-02 eta: 1 day, 0:02:51 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 4.9300 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.5771 loss: 2.5771 2022/06/29 19:06:17 - mmengine - INFO - Epoch(train) [17][1380/3757] lr: 1.000e-02 eta: 1 day, 0:02:44 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 4.6585 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7510 loss: 1.7510 2022/06/29 19:06:23 - mmengine - INFO - Epoch(train) [17][1400/3757] lr: 1.000e-02 eta: 1 day, 0:02:41 time: 0.680 data_time: 0.010 memory: 6404 grad_norm: 5.4594 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3776 loss: 2.3776 2022/06/29 19:06:28 - mmengine - INFO - Epoch(train) [17][1420/3757] lr: 1.000e-02 eta: 1 day, 0:02:34 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 5.8814 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0829 loss: 2.0829 2022/06/29 19:06:33 - mmengine - INFO - Epoch(train) [17][1440/3757] lr: 1.000e-02 eta: 1 day, 0:02:26 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.9675 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5078 loss: 2.5078 2022/06/29 19:06:39 - mmengine - INFO - Epoch(train) [17][1460/3757] lr: 1.000e-02 eta: 1 day, 0:02:22 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 4.7931 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0180 loss: 2.0180 2022/06/29 19:06:44 - mmengine - INFO - Epoch(train) [17][1480/3757] lr: 1.000e-02 eta: 1 day, 0:02:16 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 6.2446 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.0031 loss: 2.0031 2022/06/29 19:06:50 - mmengine - INFO - Epoch(train) [17][1500/3757] lr: 1.000e-02 eta: 1 day, 0:02:09 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.6948 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8475 loss: 1.8475 2022/06/29 19:06:55 - mmengine - INFO - Epoch(train) [17][1520/3757] lr: 1.000e-02 eta: 1 day, 0:02:04 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 5.6439 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1940 loss: 2.1940 2022/06/29 19:07:00 - mmengine - INFO - Epoch(train) [17][1540/3757] lr: 1.000e-02 eta: 1 day, 0:01:57 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.1399 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.5022 loss: 2.5022 2022/06/29 19:07:06 - mmengine - INFO - Epoch(train) [17][1560/3757] lr: 1.000e-02 eta: 1 day, 0:01:51 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 6.1275 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8682 loss: 1.8682 2022/06/29 19:07:12 - mmengine - INFO - Epoch(train) [17][1580/3757] lr: 1.000e-02 eta: 1 day, 0:01:47 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 4.8293 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1953 loss: 2.1953 2022/06/29 19:07:17 - mmengine - INFO - Epoch(train) [17][1600/3757] lr: 1.000e-02 eta: 1 day, 0:01:42 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.1958 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3748 loss: 2.3748 2022/06/29 19:07:23 - mmengine - INFO - Epoch(train) [17][1620/3757] lr: 1.000e-02 eta: 1 day, 0:01:35 time: 0.246 data_time: 0.012 memory: 6404 grad_norm: 5.2748 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0517 loss: 2.0517 2022/06/29 19:07:28 - mmengine - INFO - Epoch(train) [17][1640/3757] lr: 1.000e-02 eta: 1 day, 0:01:28 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.2547 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6120 loss: 1.6120 2022/06/29 19:07:33 - mmengine - INFO - Epoch(train) [17][1660/3757] lr: 1.000e-02 eta: 1 day, 0:01:22 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.5475 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1448 loss: 2.1448 2022/06/29 19:07:39 - mmengine - INFO - Epoch(train) [17][1680/3757] lr: 1.000e-02 eta: 1 day, 0:01:17 time: 0.241 data_time: 0.014 memory: 6404 grad_norm: 5.5549 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2052 loss: 2.2052 2022/06/29 19:07:45 - mmengine - INFO - Epoch(train) [17][1700/3757] lr: 1.000e-02 eta: 1 day, 0:01:14 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 5.4841 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2260 loss: 2.2260 2022/06/29 19:07:50 - mmengine - INFO - Epoch(train) [17][1720/3757] lr: 1.000e-02 eta: 1 day, 0:01:06 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.8148 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0186 loss: 2.0186 2022/06/29 19:07:55 - mmengine - INFO - Epoch(train) [17][1740/3757] lr: 1.000e-02 eta: 1 day, 0:00:59 time: 0.251 data_time: 0.017 memory: 6404 grad_norm: 5.9992 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0626 loss: 2.0626 2022/06/29 19:08:01 - mmengine - INFO - Epoch(train) [17][1760/3757] lr: 1.000e-02 eta: 1 day, 0:00:55 time: 0.244 data_time: 0.009 memory: 6404 grad_norm: 5.3196 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0799 loss: 2.0799 2022/06/29 19:08:06 - mmengine - INFO - Epoch(train) [17][1780/3757] lr: 1.000e-02 eta: 1 day, 0:00:49 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 4.4647 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3601 loss: 2.3601 2022/06/29 19:08:12 - mmengine - INFO - Epoch(train) [17][1800/3757] lr: 1.000e-02 eta: 1 day, 0:00:43 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.7290 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0392 loss: 2.0392 2022/06/29 19:08:17 - mmengine - INFO - Epoch(train) [17][1820/3757] lr: 1.000e-02 eta: 1 day, 0:00:38 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.5767 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0126 loss: 2.0126 2022/06/29 19:08:23 - mmengine - INFO - Epoch(train) [17][1840/3757] lr: 1.000e-02 eta: 1 day, 0:00:33 time: 0.291 data_time: 0.007 memory: 6404 grad_norm: 5.0915 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1589 loss: 2.1589 2022/06/29 19:08:28 - mmengine - INFO - Epoch(train) [17][1860/3757] lr: 1.000e-02 eta: 1 day, 0:00:26 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.8606 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1935 loss: 2.1935 2022/06/29 19:08:34 - mmengine - INFO - Epoch(train) [17][1880/3757] lr: 1.000e-02 eta: 1 day, 0:00:21 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 5.3637 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1180 loss: 2.1180 2022/06/29 19:08:36 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 19:08:39 - mmengine - INFO - Epoch(train) [17][1900/3757] lr: 1.000e-02 eta: 1 day, 0:00:14 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 4.8380 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0471 loss: 2.0471 2022/06/29 19:08:45 - mmengine - INFO - Epoch(train) [17][1920/3757] lr: 1.000e-02 eta: 1 day, 0:00:10 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 6.2153 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0508 loss: 2.0508 2022/06/29 19:08:50 - mmengine - INFO - Epoch(train) [17][1940/3757] lr: 1.000e-02 eta: 1 day, 0:00:05 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 5.2959 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1133 loss: 2.1133 2022/06/29 19:08:56 - mmengine - INFO - Epoch(train) [17][1960/3757] lr: 1.000e-02 eta: 23:59:59 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 4.9644 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9146 loss: 1.9146 2022/06/29 19:09:01 - mmengine - INFO - Epoch(train) [17][1980/3757] lr: 1.000e-02 eta: 23:59:53 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.2772 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1614 loss: 2.1614 2022/06/29 19:09:07 - mmengine - INFO - Epoch(train) [17][2000/3757] lr: 1.000e-02 eta: 23:59:47 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 5.5768 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9696 loss: 1.9696 2022/06/29 19:09:13 - mmengine - INFO - Epoch(train) [17][2020/3757] lr: 1.000e-02 eta: 23:59:43 time: 0.305 data_time: 0.007 memory: 6404 grad_norm: 5.6340 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1214 loss: 2.1214 2022/06/29 19:09:18 - mmengine - INFO - Epoch(train) [17][2040/3757] lr: 1.000e-02 eta: 23:59:37 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.9854 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1902 loss: 2.1902 2022/06/29 19:09:24 - mmengine - INFO - Epoch(train) [17][2060/3757] lr: 1.000e-02 eta: 23:59:32 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 5.7918 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0241 loss: 2.0241 2022/06/29 19:09:29 - mmengine - INFO - Epoch(train) [17][2080/3757] lr: 1.000e-02 eta: 23:59:28 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 5.4136 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3230 loss: 2.3230 2022/06/29 19:09:35 - mmengine - INFO - Epoch(train) [17][2100/3757] lr: 1.000e-02 eta: 23:59:21 time: 0.247 data_time: 0.013 memory: 6404 grad_norm: 5.6803 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2494 loss: 2.2494 2022/06/29 19:09:40 - mmengine - INFO - Epoch(train) [17][2120/3757] lr: 1.000e-02 eta: 23:59:15 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.2912 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1795 loss: 2.1795 2022/06/29 19:09:46 - mmengine - INFO - Epoch(train) [17][2140/3757] lr: 1.000e-02 eta: 23:59:12 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 4.6790 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9107 loss: 1.9107 2022/06/29 19:09:51 - mmengine - INFO - Epoch(train) [17][2160/3757] lr: 1.000e-02 eta: 23:59:04 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 4.8276 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0661 loss: 2.0661 2022/06/29 19:09:57 - mmengine - INFO - Epoch(train) [17][2180/3757] lr: 1.000e-02 eta: 23:59:00 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 5.4569 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1831 loss: 2.1831 2022/06/29 19:10:02 - mmengine - INFO - Epoch(train) [17][2200/3757] lr: 1.000e-02 eta: 23:58:53 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 6.0447 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1354 loss: 2.1354 2022/06/29 19:10:08 - mmengine - INFO - Epoch(train) [17][2220/3757] lr: 1.000e-02 eta: 23:58:50 time: 0.246 data_time: 0.039 memory: 6404 grad_norm: 5.3696 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1702 loss: 2.1702 2022/06/29 19:10:14 - mmengine - INFO - Epoch(train) [17][2240/3757] lr: 1.000e-02 eta: 23:58:45 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 4.6615 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6962 loss: 1.6962 2022/06/29 19:10:19 - mmengine - INFO - Epoch(train) [17][2260/3757] lr: 1.000e-02 eta: 23:58:39 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.5716 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0022 loss: 2.0022 2022/06/29 19:10:24 - mmengine - INFO - Epoch(train) [17][2280/3757] lr: 1.000e-02 eta: 23:58:33 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.5869 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9291 loss: 1.9291 2022/06/29 19:10:30 - mmengine - INFO - Epoch(train) [17][2300/3757] lr: 1.000e-02 eta: 23:58:28 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 5.6828 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9504 loss: 1.9504 2022/06/29 19:10:36 - mmengine - INFO - Epoch(train) [17][2320/3757] lr: 1.000e-02 eta: 23:58:22 time: 0.244 data_time: 0.012 memory: 6404 grad_norm: 5.6442 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2638 loss: 2.2638 2022/06/29 19:10:41 - mmengine - INFO - Epoch(train) [17][2340/3757] lr: 1.000e-02 eta: 23:58:14 time: 0.250 data_time: 0.032 memory: 6404 grad_norm: 5.5361 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9361 loss: 1.9361 2022/06/29 19:10:46 - mmengine - INFO - Epoch(train) [17][2360/3757] lr: 1.000e-02 eta: 23:58:07 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 5.1108 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.8017 loss: 1.8017 2022/06/29 19:10:52 - mmengine - INFO - Epoch(train) [17][2380/3757] lr: 1.000e-02 eta: 23:58:03 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.0028 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7077 loss: 2.7077 2022/06/29 19:10:57 - mmengine - INFO - Epoch(train) [17][2400/3757] lr: 1.000e-02 eta: 23:57:56 time: 0.253 data_time: 0.019 memory: 6404 grad_norm: 4.9679 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9182 loss: 1.9182 2022/06/29 19:11:02 - mmengine - INFO - Epoch(train) [17][2420/3757] lr: 1.000e-02 eta: 23:57:49 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.5123 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4271 loss: 2.4271 2022/06/29 19:11:08 - mmengine - INFO - Epoch(train) [17][2440/3757] lr: 1.000e-02 eta: 23:57:45 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 5.3660 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6232 loss: 2.6232 2022/06/29 19:11:14 - mmengine - INFO - Epoch(train) [17][2460/3757] lr: 1.000e-02 eta: 23:57:40 time: 0.253 data_time: 0.056 memory: 6404 grad_norm: 5.9247 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8013 loss: 1.8013 2022/06/29 19:11:19 - mmengine - INFO - Epoch(train) [17][2480/3757] lr: 1.000e-02 eta: 23:57:34 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 5.6626 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1899 loss: 2.1899 2022/06/29 19:11:25 - mmengine - INFO - Epoch(train) [17][2500/3757] lr: 1.000e-02 eta: 23:57:30 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.5789 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3334 loss: 2.3334 2022/06/29 19:11:30 - mmengine - INFO - Epoch(train) [17][2520/3757] lr: 1.000e-02 eta: 23:57:25 time: 0.753 data_time: 0.024 memory: 6404 grad_norm: 5.4227 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9946 loss: 1.9946 2022/06/29 19:11:36 - mmengine - INFO - Epoch(train) [17][2540/3757] lr: 1.000e-02 eta: 23:57:20 time: 0.241 data_time: 0.008 memory: 6404 grad_norm: 6.3856 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1169 loss: 2.1169 2022/06/29 19:11:41 - mmengine - INFO - Epoch(train) [17][2560/3757] lr: 1.000e-02 eta: 23:57:15 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 5.4648 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4475 loss: 2.4475 2022/06/29 19:11:47 - mmengine - INFO - Epoch(train) [17][2580/3757] lr: 1.000e-02 eta: 23:57:08 time: 0.281 data_time: 0.043 memory: 6404 grad_norm: 5.6275 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2735 loss: 2.2735 2022/06/29 19:11:52 - mmengine - INFO - Epoch(train) [17][2600/3757] lr: 1.000e-02 eta: 23:57:03 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.9754 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9215 loss: 1.9215 2022/06/29 19:11:58 - mmengine - INFO - Epoch(train) [17][2620/3757] lr: 1.000e-02 eta: 23:56:58 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.8669 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8393 loss: 1.8393 2022/06/29 19:12:04 - mmengine - INFO - Epoch(train) [17][2640/3757] lr: 1.000e-02 eta: 23:56:53 time: 0.508 data_time: 0.009 memory: 6404 grad_norm: 5.6404 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.8719 loss: 1.8719 2022/06/29 19:12:09 - mmengine - INFO - Epoch(train) [17][2660/3757] lr: 1.000e-02 eta: 23:56:46 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.3891 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9213 loss: 1.9213 2022/06/29 19:12:15 - mmengine - INFO - Epoch(train) [17][2680/3757] lr: 1.000e-02 eta: 23:56:42 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 6.1100 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3244 loss: 2.3244 2022/06/29 19:12:20 - mmengine - INFO - Epoch(train) [17][2700/3757] lr: 1.000e-02 eta: 23:56:37 time: 0.293 data_time: 0.006 memory: 6404 grad_norm: 4.8304 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8999 loss: 1.8999 2022/06/29 19:12:26 - mmengine - INFO - Epoch(train) [17][2720/3757] lr: 1.000e-02 eta: 23:56:31 time: 0.246 data_time: 0.013 memory: 6404 grad_norm: 5.8573 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8269 loss: 1.8269 2022/06/29 19:12:31 - mmengine - INFO - Epoch(train) [17][2740/3757] lr: 1.000e-02 eta: 23:56:26 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.6354 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9197 loss: 1.9197 2022/06/29 19:12:37 - mmengine - INFO - Epoch(train) [17][2760/3757] lr: 1.000e-02 eta: 23:56:19 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 5.5516 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4700 loss: 2.4700 2022/06/29 19:12:42 - mmengine - INFO - Epoch(train) [17][2780/3757] lr: 1.000e-02 eta: 23:56:12 time: 0.251 data_time: 0.016 memory: 6404 grad_norm: 4.7998 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0840 loss: 2.0840 2022/06/29 19:12:47 - mmengine - INFO - Epoch(train) [17][2800/3757] lr: 1.000e-02 eta: 23:56:07 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 5.6917 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9560 loss: 1.9560 2022/06/29 19:12:53 - mmengine - INFO - Epoch(train) [17][2820/3757] lr: 1.000e-02 eta: 23:56:00 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 5.4730 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9056 loss: 1.9056 2022/06/29 19:12:58 - mmengine - INFO - Epoch(train) [17][2840/3757] lr: 1.000e-02 eta: 23:55:54 time: 0.257 data_time: 0.024 memory: 6404 grad_norm: 5.1905 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5391 loss: 1.5391 2022/06/29 19:13:04 - mmengine - INFO - Epoch(train) [17][2860/3757] lr: 1.000e-02 eta: 23:55:50 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 4.7270 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2112 loss: 2.2112 2022/06/29 19:13:09 - mmengine - INFO - Epoch(train) [17][2880/3757] lr: 1.000e-02 eta: 23:55:45 time: 0.518 data_time: 0.006 memory: 6404 grad_norm: 5.5981 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5097 loss: 2.5097 2022/06/29 19:13:11 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 19:13:15 - mmengine - INFO - Epoch(train) [17][2900/3757] lr: 1.000e-02 eta: 23:55:40 time: 0.618 data_time: 0.431 memory: 6404 grad_norm: 4.8274 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7329 loss: 1.7329 2022/06/29 19:13:20 - mmengine - INFO - Epoch(train) [17][2920/3757] lr: 1.000e-02 eta: 23:55:33 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 4.9239 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0284 loss: 2.0284 2022/06/29 19:13:26 - mmengine - INFO - Epoch(train) [17][2940/3757] lr: 1.000e-02 eta: 23:55:28 time: 0.241 data_time: 0.007 memory: 6404 grad_norm: 5.7087 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2789 loss: 2.2789 2022/06/29 19:13:31 - mmengine - INFO - Epoch(train) [17][2960/3757] lr: 1.000e-02 eta: 23:55:22 time: 0.247 data_time: 0.018 memory: 6404 grad_norm: 5.6687 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0116 loss: 2.0116 2022/06/29 19:13:37 - mmengine - INFO - Epoch(train) [17][2980/3757] lr: 1.000e-02 eta: 23:55:18 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 4.6852 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2241 loss: 2.2241 2022/06/29 19:13:43 - mmengine - INFO - Epoch(train) [17][3000/3757] lr: 1.000e-02 eta: 23:55:12 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 5.0813 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1183 loss: 2.1183 2022/06/29 19:13:48 - mmengine - INFO - Epoch(train) [17][3020/3757] lr: 1.000e-02 eta: 23:55:06 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 5.3182 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4048 loss: 2.4048 2022/06/29 19:13:54 - mmengine - INFO - Epoch(train) [17][3040/3757] lr: 1.000e-02 eta: 23:55:02 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.4309 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.5839 loss: 2.5839 2022/06/29 19:14:00 - mmengine - INFO - Epoch(train) [17][3060/3757] lr: 1.000e-02 eta: 23:54:58 time: 0.666 data_time: 0.007 memory: 6404 grad_norm: 4.9691 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4674 loss: 2.4674 2022/06/29 19:14:05 - mmengine - INFO - Epoch(train) [17][3080/3757] lr: 1.000e-02 eta: 23:54:52 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 6.1748 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1569 loss: 2.1569 2022/06/29 19:14:10 - mmengine - INFO - Epoch(train) [17][3100/3757] lr: 1.000e-02 eta: 23:54:45 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 6.1009 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7918 loss: 2.7918 2022/06/29 19:14:16 - mmengine - INFO - Epoch(train) [17][3120/3757] lr: 1.000e-02 eta: 23:54:39 time: 0.324 data_time: 0.016 memory: 6404 grad_norm: 4.7834 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3565 loss: 2.3565 2022/06/29 19:14:21 - mmengine - INFO - Epoch(train) [17][3140/3757] lr: 1.000e-02 eta: 23:54:32 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 5.3701 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1339 loss: 2.1339 2022/06/29 19:14:26 - mmengine - INFO - Epoch(train) [17][3160/3757] lr: 1.000e-02 eta: 23:54:26 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.2146 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1757 loss: 2.1757 2022/06/29 19:14:31 - mmengine - INFO - Epoch(train) [17][3180/3757] lr: 1.000e-02 eta: 23:54:18 time: 0.241 data_time: 0.006 memory: 6404 grad_norm: 4.7382 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8877 loss: 1.8877 2022/06/29 19:14:36 - mmengine - INFO - Epoch(train) [17][3200/3757] lr: 1.000e-02 eta: 23:54:11 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.6970 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0428 loss: 2.0428 2022/06/29 19:14:42 - mmengine - INFO - Epoch(train) [17][3220/3757] lr: 1.000e-02 eta: 23:54:07 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 5.2320 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.5942 loss: 2.5942 2022/06/29 19:14:48 - mmengine - INFO - Epoch(train) [17][3240/3757] lr: 1.000e-02 eta: 23:54:03 time: 0.273 data_time: 0.006 memory: 6404 grad_norm: 5.5363 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5514 loss: 1.5514 2022/06/29 19:14:53 - mmengine - INFO - Epoch(train) [17][3260/3757] lr: 1.000e-02 eta: 23:53:57 time: 0.361 data_time: 0.011 memory: 6404 grad_norm: 6.0479 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0225 loss: 2.0225 2022/06/29 19:14:59 - mmengine - INFO - Epoch(train) [17][3280/3757] lr: 1.000e-02 eta: 23:53:51 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.6997 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1155 loss: 2.1155 2022/06/29 19:15:04 - mmengine - INFO - Epoch(train) [17][3300/3757] lr: 1.000e-02 eta: 23:53:46 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 4.7130 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0792 loss: 2.0792 2022/06/29 19:15:10 - mmengine - INFO - Epoch(train) [17][3320/3757] lr: 1.000e-02 eta: 23:53:39 time: 0.239 data_time: 0.008 memory: 6404 grad_norm: 5.3818 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1347 loss: 2.1347 2022/06/29 19:15:15 - mmengine - INFO - Epoch(train) [17][3340/3757] lr: 1.000e-02 eta: 23:53:34 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 5.9205 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5672 loss: 2.5672 2022/06/29 19:15:21 - mmengine - INFO - Epoch(train) [17][3360/3757] lr: 1.000e-02 eta: 23:53:28 time: 0.276 data_time: 0.006 memory: 6404 grad_norm: 5.4496 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1848 loss: 2.1848 2022/06/29 19:15:26 - mmengine - INFO - Epoch(train) [17][3380/3757] lr: 1.000e-02 eta: 23:53:22 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.4035 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3065 loss: 2.3065 2022/06/29 19:15:32 - mmengine - INFO - Epoch(train) [17][3400/3757] lr: 1.000e-02 eta: 23:53:17 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 6.1056 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9626 loss: 1.9626 2022/06/29 19:15:37 - mmengine - INFO - Epoch(train) [17][3420/3757] lr: 1.000e-02 eta: 23:53:12 time: 0.273 data_time: 0.006 memory: 6404 grad_norm: 6.2258 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8955 loss: 1.8955 2022/06/29 19:15:42 - mmengine - INFO - Epoch(train) [17][3440/3757] lr: 1.000e-02 eta: 23:53:04 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 5.8730 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9665 loss: 1.9665 2022/06/29 19:15:48 - mmengine - INFO - Epoch(train) [17][3460/3757] lr: 1.000e-02 eta: 23:52:59 time: 0.259 data_time: 0.006 memory: 6404 grad_norm: 5.3614 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0809 loss: 2.0809 2022/06/29 19:15:54 - mmengine - INFO - Epoch(train) [17][3480/3757] lr: 1.000e-02 eta: 23:52:55 time: 0.405 data_time: 0.015 memory: 6404 grad_norm: 5.7426 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2870 loss: 2.2870 2022/06/29 19:15:59 - mmengine - INFO - Epoch(train) [17][3500/3757] lr: 1.000e-02 eta: 23:52:48 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 5.3504 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0099 loss: 2.0099 2022/06/29 19:16:05 - mmengine - INFO - Epoch(train) [17][3520/3757] lr: 1.000e-02 eta: 23:52:44 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 5.7485 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0193 loss: 2.0193 2022/06/29 19:16:10 - mmengine - INFO - Epoch(train) [17][3540/3757] lr: 1.000e-02 eta: 23:52:37 time: 0.273 data_time: 0.089 memory: 6404 grad_norm: 5.4632 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6912 loss: 1.6912 2022/06/29 19:16:15 - mmengine - INFO - Epoch(train) [17][3560/3757] lr: 1.000e-02 eta: 23:52:30 time: 0.267 data_time: 0.006 memory: 6404 grad_norm: 5.5121 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1462 loss: 2.1462 2022/06/29 19:16:21 - mmengine - INFO - Epoch(train) [17][3580/3757] lr: 1.000e-02 eta: 23:52:23 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.2780 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6804 loss: 1.6804 2022/06/29 19:16:27 - mmengine - INFO - Epoch(train) [17][3600/3757] lr: 1.000e-02 eta: 23:52:20 time: 0.237 data_time: 0.011 memory: 6404 grad_norm: 5.8702 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3643 loss: 2.3643 2022/06/29 19:16:32 - mmengine - INFO - Epoch(train) [17][3620/3757] lr: 1.000e-02 eta: 23:52:13 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.6342 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1940 loss: 2.1940 2022/06/29 19:16:37 - mmengine - INFO - Epoch(train) [17][3640/3757] lr: 1.000e-02 eta: 23:52:06 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.0633 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6712 loss: 1.6712 2022/06/29 19:16:42 - mmengine - INFO - Epoch(train) [17][3660/3757] lr: 1.000e-02 eta: 23:52:00 time: 0.263 data_time: 0.012 memory: 6404 grad_norm: 5.6742 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2614 loss: 2.2614 2022/06/29 19:16:48 - mmengine - INFO - Epoch(train) [17][3680/3757] lr: 1.000e-02 eta: 23:51:54 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.9436 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7112 loss: 2.7112 2022/06/29 19:16:53 - mmengine - INFO - Epoch(train) [17][3700/3757] lr: 1.000e-02 eta: 23:51:47 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 6.0918 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0476 loss: 2.0476 2022/06/29 19:16:59 - mmengine - INFO - Epoch(train) [17][3720/3757] lr: 1.000e-02 eta: 23:51:43 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 5.7399 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1242 loss: 2.1242 2022/06/29 19:17:05 - mmengine - INFO - Epoch(train) [17][3740/3757] lr: 1.000e-02 eta: 23:51:38 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.8882 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1691 loss: 2.1691 2022/06/29 19:17:08 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 19:17:16 - mmengine - INFO - Epoch(val) [17][20/310] eta: 0:01:32 time: 0.082 data_time: 0.007 memory: 6404 2022/06/29 19:17:21 - mmengine - INFO - Epoch(val) [17][40/310] eta: 0:01:13 time: 0.084 data_time: 0.005 memory: 1479 2022/06/29 19:17:25 - mmengine - INFO - Epoch(val) [17][60/310] eta: 0:00:24 time: 0.106 data_time: 0.010 memory: 1479 2022/06/29 19:17:31 - mmengine - INFO - Epoch(val) [17][80/310] eta: 0:01:04 time: 0.086 data_time: 0.007 memory: 1479 2022/06/29 19:17:37 - mmengine - INFO - Epoch(val) [17][100/310] eta: 0:00:57 time: 0.090 data_time: 0.006 memory: 1479 2022/06/29 19:17:41 - mmengine - INFO - Epoch(val) [17][120/310] eta: 0:00:17 time: 0.090 data_time: 0.010 memory: 1479 2022/06/29 19:17:47 - mmengine - INFO - Epoch(val) [17][140/310] eta: 0:00:52 time: 0.096 data_time: 0.006 memory: 1479 2022/06/29 19:17:54 - mmengine - INFO - Epoch(val) [17][160/310] eta: 0:00:52 time: 1.307 data_time: 1.102 memory: 1479 2022/06/29 19:17:58 - mmengine - INFO - Epoch(val) [17][180/310] eta: 0:00:30 time: 0.080 data_time: 0.005 memory: 1479 2022/06/29 19:18:04 - mmengine - INFO - Epoch(val) [17][200/310] eta: 0:00:34 time: 0.082 data_time: 0.006 memory: 1479 2022/06/29 19:18:10 - mmengine - INFO - Epoch(val) [17][220/310] eta: 0:00:27 time: 1.028 data_time: 0.943 memory: 1479 2022/06/29 19:18:13 - mmengine - INFO - Epoch(val) [17][240/310] eta: 0:00:12 time: 0.079 data_time: 0.005 memory: 1479 2022/06/29 19:18:20 - mmengine - INFO - Epoch(val) [17][260/310] eta: 0:00:16 time: 0.081 data_time: 0.006 memory: 1479 2022/06/29 19:18:26 - mmengine - INFO - Epoch(val) [17][280/310] eta: 0:00:09 time: 1.358 data_time: 1.273 memory: 1479 2022/06/29 19:18:29 - mmengine - INFO - Epoch(val) [17][300/310] eta: 0:00:02 time: 0.078 data_time: 0.005 memory: 1479 2022/06/29 19:18:32 - mmengine - INFO - Epoch(val) [17][310/310] acc/top1: 0.5418 acc/top5: 0.7905 acc/mean1: 0.5419 2022/06/29 19:18:41 - mmengine - INFO - Epoch(train) [18][20/3757] lr: 1.000e-02 eta: 23:51:33 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.3019 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0090 loss: 2.0090 2022/06/29 19:18:46 - mmengine - INFO - Epoch(train) [18][40/3757] lr: 1.000e-02 eta: 23:51:28 time: 0.242 data_time: 0.015 memory: 6404 grad_norm: 5.3809 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0655 loss: 2.0655 2022/06/29 19:18:51 - mmengine - INFO - Epoch(train) [18][60/3757] lr: 1.000e-02 eta: 23:51:21 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 5.4601 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9671 loss: 1.9671 2022/06/29 19:18:57 - mmengine - INFO - Epoch(train) [18][80/3757] lr: 1.000e-02 eta: 23:51:16 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.2564 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9638 loss: 1.9638 2022/06/29 19:19:02 - mmengine - INFO - Epoch(train) [18][100/3757] lr: 1.000e-02 eta: 23:51:10 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.6834 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4139 loss: 2.4139 2022/06/29 19:19:08 - mmengine - INFO - Epoch(train) [18][120/3757] lr: 1.000e-02 eta: 23:51:03 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.3065 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2617 loss: 2.2617 2022/06/29 19:19:11 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 19:19:13 - mmengine - INFO - Epoch(train) [18][140/3757] lr: 1.000e-02 eta: 23:50:57 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.7066 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0151 loss: 2.0151 2022/06/29 19:19:19 - mmengine - INFO - Epoch(train) [18][160/3757] lr: 1.000e-02 eta: 23:50:52 time: 0.277 data_time: 0.008 memory: 6404 grad_norm: 5.2526 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0324 loss: 2.0324 2022/06/29 19:19:24 - mmengine - INFO - Epoch(train) [18][180/3757] lr: 1.000e-02 eta: 23:50:47 time: 0.387 data_time: 0.008 memory: 6404 grad_norm: 5.0575 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1224 loss: 2.1224 2022/06/29 19:19:30 - mmengine - INFO - Epoch(train) [18][200/3757] lr: 1.000e-02 eta: 23:50:41 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.4257 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4225 loss: 2.4225 2022/06/29 19:19:35 - mmengine - INFO - Epoch(train) [18][220/3757] lr: 1.000e-02 eta: 23:50:37 time: 0.262 data_time: 0.006 memory: 6404 grad_norm: 5.6044 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0685 loss: 2.0685 2022/06/29 19:19:40 - mmengine - INFO - Epoch(train) [18][240/3757] lr: 1.000e-02 eta: 23:50:29 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.5439 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4506 loss: 2.4506 2022/06/29 19:19:46 - mmengine - INFO - Epoch(train) [18][260/3757] lr: 1.000e-02 eta: 23:50:24 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.5191 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2675 loss: 2.2675 2022/06/29 19:19:52 - mmengine - INFO - Epoch(train) [18][280/3757] lr: 1.000e-02 eta: 23:50:19 time: 0.263 data_time: 0.006 memory: 6404 grad_norm: 5.5928 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9195 loss: 1.9195 2022/06/29 19:19:57 - mmengine - INFO - Epoch(train) [18][300/3757] lr: 1.000e-02 eta: 23:50:12 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.6985 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1034 loss: 2.1034 2022/06/29 19:20:03 - mmengine - INFO - Epoch(train) [18][320/3757] lr: 1.000e-02 eta: 23:50:07 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.6664 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7785 loss: 1.7785 2022/06/29 19:20:08 - mmengine - INFO - Epoch(train) [18][340/3757] lr: 1.000e-02 eta: 23:50:03 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 5.4600 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0816 loss: 2.0816 2022/06/29 19:20:14 - mmengine - INFO - Epoch(train) [18][360/3757] lr: 1.000e-02 eta: 23:49:58 time: 0.345 data_time: 0.005 memory: 6404 grad_norm: 5.8948 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.2012 loss: 2.2012 2022/06/29 19:20:19 - mmengine - INFO - Epoch(train) [18][380/3757] lr: 1.000e-02 eta: 23:49:52 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.8397 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5583 loss: 1.5583 2022/06/29 19:20:25 - mmengine - INFO - Epoch(train) [18][400/3757] lr: 1.000e-02 eta: 23:49:48 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 4.8732 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4296 loss: 2.4296 2022/06/29 19:20:31 - mmengine - INFO - Epoch(train) [18][420/3757] lr: 1.000e-02 eta: 23:49:42 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.6528 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1343 loss: 2.1343 2022/06/29 19:20:36 - mmengine - INFO - Epoch(train) [18][440/3757] lr: 1.000e-02 eta: 23:49:36 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 5.9313 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2097 loss: 2.2097 2022/06/29 19:20:41 - mmengine - INFO - Epoch(train) [18][460/3757] lr: 1.000e-02 eta: 23:49:29 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 5.6076 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0109 loss: 2.0109 2022/06/29 19:20:46 - mmengine - INFO - Epoch(train) [18][480/3757] lr: 1.000e-02 eta: 23:49:22 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.1625 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0281 loss: 2.0281 2022/06/29 19:20:52 - mmengine - INFO - Epoch(train) [18][500/3757] lr: 1.000e-02 eta: 23:49:16 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.5844 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0228 loss: 2.0228 2022/06/29 19:20:57 - mmengine - INFO - Epoch(train) [18][520/3757] lr: 1.000e-02 eta: 23:49:11 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 6.2783 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2146 loss: 2.2146 2022/06/29 19:21:03 - mmengine - INFO - Epoch(train) [18][540/3757] lr: 1.000e-02 eta: 23:49:04 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.8628 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1437 loss: 2.1437 2022/06/29 19:21:08 - mmengine - INFO - Epoch(train) [18][560/3757] lr: 1.000e-02 eta: 23:48:58 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 4.7958 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5201 loss: 2.5201 2022/06/29 19:21:14 - mmengine - INFO - Epoch(train) [18][580/3757] lr: 1.000e-02 eta: 23:48:56 time: 0.329 data_time: 0.022 memory: 6404 grad_norm: 5.4992 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2911 loss: 2.2911 2022/06/29 19:21:19 - mmengine - INFO - Epoch(train) [18][600/3757] lr: 1.000e-02 eta: 23:48:48 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.0441 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6914 loss: 1.6914 2022/06/29 19:21:25 - mmengine - INFO - Epoch(train) [18][620/3757] lr: 1.000e-02 eta: 23:48:45 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 6.5655 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9083 loss: 1.9083 2022/06/29 19:21:30 - mmengine - INFO - Epoch(train) [18][640/3757] lr: 1.000e-02 eta: 23:48:37 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.3438 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9115 loss: 1.9115 2022/06/29 19:21:36 - mmengine - INFO - Epoch(train) [18][660/3757] lr: 1.000e-02 eta: 23:48:31 time: 0.484 data_time: 0.010 memory: 6404 grad_norm: 5.9642 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9804 loss: 1.9804 2022/06/29 19:21:41 - mmengine - INFO - Epoch(train) [18][680/3757] lr: 1.000e-02 eta: 23:48:24 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.9189 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0429 loss: 2.0429 2022/06/29 19:21:47 - mmengine - INFO - Epoch(train) [18][700/3757] lr: 1.000e-02 eta: 23:48:21 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 6.4455 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2783 loss: 2.2783 2022/06/29 19:21:52 - mmengine - INFO - Epoch(train) [18][720/3757] lr: 1.000e-02 eta: 23:48:13 time: 0.252 data_time: 0.015 memory: 6404 grad_norm: 6.4243 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2167 loss: 2.2167 2022/06/29 19:21:57 - mmengine - INFO - Epoch(train) [18][740/3757] lr: 1.000e-02 eta: 23:48:05 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 6.1621 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6503 loss: 1.6503 2022/06/29 19:22:02 - mmengine - INFO - Epoch(train) [18][760/3757] lr: 1.000e-02 eta: 23:47:58 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 5.0832 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9586 loss: 1.9586 2022/06/29 19:22:08 - mmengine - INFO - Epoch(train) [18][780/3757] lr: 1.000e-02 eta: 23:47:54 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.1593 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0136 loss: 2.0136 2022/06/29 19:22:14 - mmengine - INFO - Epoch(train) [18][800/3757] lr: 1.000e-02 eta: 23:47:49 time: 0.255 data_time: 0.005 memory: 6404 grad_norm: 5.4448 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8301 loss: 1.8301 2022/06/29 19:22:19 - mmengine - INFO - Epoch(train) [18][820/3757] lr: 1.000e-02 eta: 23:47:42 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 5.4352 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9618 loss: 1.9618 2022/06/29 19:22:25 - mmengine - INFO - Epoch(train) [18][840/3757] lr: 1.000e-02 eta: 23:47:38 time: 0.238 data_time: 0.010 memory: 6404 grad_norm: 6.0231 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4018 loss: 2.4018 2022/06/29 19:22:30 - mmengine - INFO - Epoch(train) [18][860/3757] lr: 1.000e-02 eta: 23:47:32 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.7040 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9997 loss: 1.9997 2022/06/29 19:22:36 - mmengine - INFO - Epoch(train) [18][880/3757] lr: 1.000e-02 eta: 23:47:26 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.9158 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9023 loss: 1.9023 2022/06/29 19:22:41 - mmengine - INFO - Epoch(train) [18][900/3757] lr: 1.000e-02 eta: 23:47:19 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 4.8677 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0681 loss: 2.0681 2022/06/29 19:22:46 - mmengine - INFO - Epoch(train) [18][920/3757] lr: 1.000e-02 eta: 23:47:13 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 5.1982 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0578 loss: 2.0578 2022/06/29 19:22:52 - mmengine - INFO - Epoch(train) [18][940/3757] lr: 1.000e-02 eta: 23:47:09 time: 0.264 data_time: 0.040 memory: 6404 grad_norm: 5.1782 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9059 loss: 1.9059 2022/06/29 19:22:58 - mmengine - INFO - Epoch(train) [18][960/3757] lr: 1.000e-02 eta: 23:47:05 time: 0.645 data_time: 0.006 memory: 6404 grad_norm: 5.2439 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9937 loss: 1.9937 2022/06/29 19:23:03 - mmengine - INFO - Epoch(train) [18][980/3757] lr: 1.000e-02 eta: 23:46:57 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 5.6612 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7978 loss: 1.7978 2022/06/29 19:23:08 - mmengine - INFO - Epoch(train) [18][1000/3757] lr: 1.000e-02 eta: 23:46:51 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 5.2774 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1147 loss: 2.1147 2022/06/29 19:23:13 - mmengine - INFO - Epoch(train) [18][1020/3757] lr: 1.000e-02 eta: 23:46:44 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 5.6782 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9964 loss: 1.9964 2022/06/29 19:23:19 - mmengine - INFO - Epoch(train) [18][1040/3757] lr: 1.000e-02 eta: 23:46:37 time: 0.255 data_time: 0.014 memory: 6404 grad_norm: 5.6082 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3085 loss: 2.3085 2022/06/29 19:23:24 - mmengine - INFO - Epoch(train) [18][1060/3757] lr: 1.000e-02 eta: 23:46:32 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.4755 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.2252 loss: 2.2252 2022/06/29 19:23:30 - mmengine - INFO - Epoch(train) [18][1080/3757] lr: 1.000e-02 eta: 23:46:26 time: 0.262 data_time: 0.010 memory: 6404 grad_norm: 5.8678 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1257 loss: 2.1257 2022/06/29 19:23:35 - mmengine - INFO - Epoch(train) [18][1100/3757] lr: 1.000e-02 eta: 23:46:20 time: 0.261 data_time: 0.021 memory: 6404 grad_norm: 5.3015 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3526 loss: 2.3526 2022/06/29 19:23:40 - mmengine - INFO - Epoch(train) [18][1120/3757] lr: 1.000e-02 eta: 23:46:14 time: 0.245 data_time: 0.009 memory: 6404 grad_norm: 5.2775 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2092 loss: 2.2092 2022/06/29 19:23:43 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 19:23:46 - mmengine - INFO - Epoch(train) [18][1140/3757] lr: 1.000e-02 eta: 23:46:08 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 4.9871 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4022 loss: 2.4022 2022/06/29 19:23:51 - mmengine - INFO - Epoch(train) [18][1160/3757] lr: 1.000e-02 eta: 23:46:02 time: 0.255 data_time: 0.017 memory: 6404 grad_norm: 5.0650 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0080 loss: 2.0080 2022/06/29 19:23:57 - mmengine - INFO - Epoch(train) [18][1180/3757] lr: 1.000e-02 eta: 23:45:57 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 5.7444 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9456 loss: 1.9456 2022/06/29 19:24:02 - mmengine - INFO - Epoch(train) [18][1200/3757] lr: 1.000e-02 eta: 23:45:50 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 5.8489 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3626 loss: 2.3626 2022/06/29 19:24:08 - mmengine - INFO - Epoch(train) [18][1220/3757] lr: 1.000e-02 eta: 23:45:44 time: 0.245 data_time: 0.023 memory: 6404 grad_norm: 5.9004 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4671 loss: 2.4671 2022/06/29 19:24:14 - mmengine - INFO - Epoch(train) [18][1240/3757] lr: 1.000e-02 eta: 23:45:43 time: 0.242 data_time: 0.008 memory: 6404 grad_norm: 5.6857 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3197 loss: 2.3197 2022/06/29 19:24:19 - mmengine - INFO - Epoch(train) [18][1260/3757] lr: 1.000e-02 eta: 23:45:37 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 6.3885 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0671 loss: 2.0671 2022/06/29 19:24:25 - mmengine - INFO - Epoch(train) [18][1280/3757] lr: 1.000e-02 eta: 23:45:32 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 6.0771 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3421 loss: 2.3421 2022/06/29 19:24:30 - mmengine - INFO - Epoch(train) [18][1300/3757] lr: 1.000e-02 eta: 23:45:25 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 6.0739 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2209 loss: 2.2209 2022/06/29 19:24:36 - mmengine - INFO - Epoch(train) [18][1320/3757] lr: 1.000e-02 eta: 23:45:19 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 5.3005 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9556 loss: 1.9556 2022/06/29 19:24:41 - mmengine - INFO - Epoch(train) [18][1340/3757] lr: 1.000e-02 eta: 23:45:13 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.8800 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8913 loss: 1.8913 2022/06/29 19:24:46 - mmengine - INFO - Epoch(train) [18][1360/3757] lr: 1.000e-02 eta: 23:45:07 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 5.8695 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3865 loss: 2.3865 2022/06/29 19:24:52 - mmengine - INFO - Epoch(train) [18][1380/3757] lr: 1.000e-02 eta: 23:45:01 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 5.5776 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3601 loss: 2.3601 2022/06/29 19:24:57 - mmengine - INFO - Epoch(train) [18][1400/3757] lr: 1.000e-02 eta: 23:44:56 time: 0.275 data_time: 0.006 memory: 6404 grad_norm: 5.1705 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2375 loss: 2.2375 2022/06/29 19:25:03 - mmengine - INFO - Epoch(train) [18][1420/3757] lr: 1.000e-02 eta: 23:44:50 time: 0.366 data_time: 0.008 memory: 6404 grad_norm: 5.7571 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0834 loss: 2.0834 2022/06/29 19:25:09 - mmengine - INFO - Epoch(train) [18][1440/3757] lr: 1.000e-02 eta: 23:44:46 time: 0.246 data_time: 0.013 memory: 6404 grad_norm: 5.6851 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7479 loss: 1.7479 2022/06/29 19:25:14 - mmengine - INFO - Epoch(train) [18][1460/3757] lr: 1.000e-02 eta: 23:44:39 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.1303 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0783 loss: 2.0783 2022/06/29 19:25:20 - mmengine - INFO - Epoch(train) [18][1480/3757] lr: 1.000e-02 eta: 23:44:34 time: 0.597 data_time: 0.010 memory: 6404 grad_norm: 5.6538 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7204 loss: 1.7204 2022/06/29 19:25:25 - mmengine - INFO - Epoch(train) [18][1500/3757] lr: 1.000e-02 eta: 23:44:29 time: 0.254 data_time: 0.015 memory: 6404 grad_norm: 5.7864 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9613 loss: 1.9613 2022/06/29 19:25:31 - mmengine - INFO - Epoch(train) [18][1520/3757] lr: 1.000e-02 eta: 23:44:23 time: 0.245 data_time: 0.009 memory: 6404 grad_norm: 6.4983 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9455 loss: 1.9455 2022/06/29 19:25:37 - mmengine - INFO - Epoch(train) [18][1540/3757] lr: 1.000e-02 eta: 23:44:20 time: 0.822 data_time: 0.008 memory: 6404 grad_norm: 5.3381 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9953 loss: 1.9953 2022/06/29 19:25:42 - mmengine - INFO - Epoch(train) [18][1560/3757] lr: 1.000e-02 eta: 23:44:15 time: 0.248 data_time: 0.026 memory: 6404 grad_norm: 6.0664 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2682 loss: 2.2682 2022/06/29 19:25:48 - mmengine - INFO - Epoch(train) [18][1580/3757] lr: 1.000e-02 eta: 23:44:09 time: 0.270 data_time: 0.077 memory: 6404 grad_norm: 5.9692 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7245 loss: 1.7245 2022/06/29 19:25:53 - mmengine - INFO - Epoch(train) [18][1600/3757] lr: 1.000e-02 eta: 23:44:03 time: 0.572 data_time: 0.008 memory: 6404 grad_norm: 6.3342 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2019 loss: 2.2019 2022/06/29 19:25:59 - mmengine - INFO - Epoch(train) [18][1620/3757] lr: 1.000e-02 eta: 23:43:59 time: 0.429 data_time: 0.010 memory: 6404 grad_norm: 5.1929 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2842 loss: 2.2842 2022/06/29 19:26:04 - mmengine - INFO - Epoch(train) [18][1640/3757] lr: 1.000e-02 eta: 23:43:53 time: 0.308 data_time: 0.011 memory: 6404 grad_norm: 5.1725 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8858 loss: 1.8858 2022/06/29 19:26:10 - mmengine - INFO - Epoch(train) [18][1660/3757] lr: 1.000e-02 eta: 23:43:48 time: 0.380 data_time: 0.019 memory: 6404 grad_norm: 5.5973 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9520 loss: 1.9520 2022/06/29 19:26:15 - mmengine - INFO - Epoch(train) [18][1680/3757] lr: 1.000e-02 eta: 23:43:42 time: 0.288 data_time: 0.010 memory: 6404 grad_norm: 6.0535 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6836 loss: 1.6836 2022/06/29 19:26:21 - mmengine - INFO - Epoch(train) [18][1700/3757] lr: 1.000e-02 eta: 23:43:37 time: 0.249 data_time: 0.018 memory: 6404 grad_norm: 5.7641 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9000 loss: 1.9000 2022/06/29 19:26:26 - mmengine - INFO - Epoch(train) [18][1720/3757] lr: 1.000e-02 eta: 23:43:31 time: 0.261 data_time: 0.013 memory: 6404 grad_norm: 5.7680 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8941 loss: 1.8941 2022/06/29 19:26:31 - mmengine - INFO - Epoch(train) [18][1740/3757] lr: 1.000e-02 eta: 23:43:23 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 5.5771 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7647 loss: 1.7647 2022/06/29 19:26:37 - mmengine - INFO - Epoch(train) [18][1760/3757] lr: 1.000e-02 eta: 23:43:18 time: 0.242 data_time: 0.014 memory: 6404 grad_norm: 5.7721 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4144 loss: 2.4144 2022/06/29 19:26:43 - mmengine - INFO - Epoch(train) [18][1780/3757] lr: 1.000e-02 eta: 23:43:13 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.2375 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0663 loss: 2.0663 2022/06/29 19:26:48 - mmengine - INFO - Epoch(train) [18][1800/3757] lr: 1.000e-02 eta: 23:43:08 time: 0.273 data_time: 0.009 memory: 6404 grad_norm: 5.9856 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0434 loss: 2.0434 2022/06/29 19:26:54 - mmengine - INFO - Epoch(train) [18][1820/3757] lr: 1.000e-02 eta: 23:43:02 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 5.0240 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2110 loss: 2.2110 2022/06/29 19:26:59 - mmengine - INFO - Epoch(train) [18][1840/3757] lr: 1.000e-02 eta: 23:42:57 time: 0.671 data_time: 0.006 memory: 6404 grad_norm: 5.6114 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7185 loss: 1.7185 2022/06/29 19:27:05 - mmengine - INFO - Epoch(train) [18][1860/3757] lr: 1.000e-02 eta: 23:42:51 time: 0.278 data_time: 0.008 memory: 6404 grad_norm: 5.9750 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7807 loss: 1.7807 2022/06/29 19:27:11 - mmengine - INFO - Epoch(train) [18][1880/3757] lr: 1.000e-02 eta: 23:42:49 time: 0.279 data_time: 0.019 memory: 6404 grad_norm: 5.2616 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1756 loss: 2.1756 2022/06/29 19:27:16 - mmengine - INFO - Epoch(train) [18][1900/3757] lr: 1.000e-02 eta: 23:42:41 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 6.1160 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1683 loss: 2.1683 2022/06/29 19:27:21 - mmengine - INFO - Epoch(train) [18][1920/3757] lr: 1.000e-02 eta: 23:42:34 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 5.4303 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8128 loss: 1.8128 2022/06/29 19:27:27 - mmengine - INFO - Epoch(train) [18][1940/3757] lr: 1.000e-02 eta: 23:42:30 time: 0.244 data_time: 0.015 memory: 6404 grad_norm: 5.8998 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7214 loss: 1.7214 2022/06/29 19:27:32 - mmengine - INFO - Epoch(train) [18][1960/3757] lr: 1.000e-02 eta: 23:42:23 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 5.2641 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1605 loss: 2.1605 2022/06/29 19:27:38 - mmengine - INFO - Epoch(train) [18][1980/3757] lr: 1.000e-02 eta: 23:42:17 time: 0.246 data_time: 0.016 memory: 6404 grad_norm: 4.5306 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0915 loss: 2.0915 2022/06/29 19:27:43 - mmengine - INFO - Epoch(train) [18][2000/3757] lr: 1.000e-02 eta: 23:42:12 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 4.9316 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9659 loss: 1.9659 2022/06/29 19:27:49 - mmengine - INFO - Epoch(train) [18][2020/3757] lr: 1.000e-02 eta: 23:42:09 time: 0.683 data_time: 0.009 memory: 6404 grad_norm: 5.4360 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1147 loss: 2.1147 2022/06/29 19:27:54 - mmengine - INFO - Epoch(train) [18][2040/3757] lr: 1.000e-02 eta: 23:42:01 time: 0.247 data_time: 0.015 memory: 6404 grad_norm: 6.0601 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8607 loss: 1.8607 2022/06/29 19:28:00 - mmengine - INFO - Epoch(train) [18][2060/3757] lr: 1.000e-02 eta: 23:41:55 time: 0.239 data_time: 0.006 memory: 6404 grad_norm: 5.6028 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8456 loss: 1.8456 2022/06/29 19:28:05 - mmengine - INFO - Epoch(train) [18][2080/3757] lr: 1.000e-02 eta: 23:41:50 time: 0.514 data_time: 0.068 memory: 6404 grad_norm: 5.4386 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1398 loss: 2.1398 2022/06/29 19:28:11 - mmengine - INFO - Epoch(train) [18][2100/3757] lr: 1.000e-02 eta: 23:41:45 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.3628 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1355 loss: 2.1355 2022/06/29 19:28:17 - mmengine - INFO - Epoch(train) [18][2120/3757] lr: 1.000e-02 eta: 23:41:41 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 6.0088 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1144 loss: 2.1144 2022/06/29 19:28:20 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 19:28:22 - mmengine - INFO - Epoch(train) [18][2140/3757] lr: 1.000e-02 eta: 23:41:36 time: 0.303 data_time: 0.014 memory: 6404 grad_norm: 6.1627 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8508 loss: 1.8508 2022/06/29 19:28:27 - mmengine - INFO - Epoch(train) [18][2160/3757] lr: 1.000e-02 eta: 23:41:29 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.7748 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2853 loss: 2.2853 2022/06/29 19:28:33 - mmengine - INFO - Epoch(train) [18][2180/3757] lr: 1.000e-02 eta: 23:41:21 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 6.4222 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4235 loss: 2.4235 2022/06/29 19:28:38 - mmengine - INFO - Epoch(train) [18][2200/3757] lr: 1.000e-02 eta: 23:41:16 time: 0.617 data_time: 0.007 memory: 6404 grad_norm: 6.1204 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8607 loss: 1.8607 2022/06/29 19:28:44 - mmengine - INFO - Epoch(train) [18][2220/3757] lr: 1.000e-02 eta: 23:41:10 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.5040 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3922 loss: 2.3922 2022/06/29 19:28:50 - mmengine - INFO - Epoch(train) [18][2240/3757] lr: 1.000e-02 eta: 23:41:08 time: 0.264 data_time: 0.013 memory: 6404 grad_norm: 5.2153 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6699 loss: 1.6699 2022/06/29 19:28:55 - mmengine - INFO - Epoch(train) [18][2260/3757] lr: 1.000e-02 eta: 23:41:01 time: 0.243 data_time: 0.009 memory: 6404 grad_norm: 5.3454 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.1833 loss: 2.1833 2022/06/29 19:29:00 - mmengine - INFO - Epoch(train) [18][2280/3757] lr: 1.000e-02 eta: 23:40:54 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.7031 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4096 loss: 2.4096 2022/06/29 19:29:06 - mmengine - INFO - Epoch(train) [18][2300/3757] lr: 1.000e-02 eta: 23:40:48 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 5.6914 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3260 loss: 2.3260 2022/06/29 19:29:11 - mmengine - INFO - Epoch(train) [18][2320/3757] lr: 1.000e-02 eta: 23:40:41 time: 0.243 data_time: 0.006 memory: 6404 grad_norm: 5.2999 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7275 loss: 1.7275 2022/06/29 19:29:17 - mmengine - INFO - Epoch(train) [18][2340/3757] lr: 1.000e-02 eta: 23:40:38 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.4895 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2064 loss: 2.2064 2022/06/29 19:29:23 - mmengine - INFO - Epoch(train) [18][2360/3757] lr: 1.000e-02 eta: 23:40:35 time: 0.245 data_time: 0.018 memory: 6404 grad_norm: 6.5746 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0526 loss: 2.0526 2022/06/29 19:29:28 - mmengine - INFO - Epoch(train) [18][2380/3757] lr: 1.000e-02 eta: 23:40:29 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 6.1029 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1829 loss: 2.1829 2022/06/29 19:29:33 - mmengine - INFO - Epoch(train) [18][2400/3757] lr: 1.000e-02 eta: 23:40:22 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.3603 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7934 loss: 1.7934 2022/06/29 19:29:39 - mmengine - INFO - Epoch(train) [18][2420/3757] lr: 1.000e-02 eta: 23:40:14 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 5.2298 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2417 loss: 2.2417 2022/06/29 19:29:44 - mmengine - INFO - Epoch(train) [18][2440/3757] lr: 1.000e-02 eta: 23:40:07 time: 0.253 data_time: 0.017 memory: 6404 grad_norm: 6.3362 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3284 loss: 2.3284 2022/06/29 19:29:49 - mmengine - INFO - Epoch(train) [18][2460/3757] lr: 1.000e-02 eta: 23:40:01 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 5.4456 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9577 loss: 1.9577 2022/06/29 19:29:54 - mmengine - INFO - Epoch(train) [18][2480/3757] lr: 1.000e-02 eta: 23:39:55 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 5.4793 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2731 loss: 2.2731 2022/06/29 19:30:00 - mmengine - INFO - Epoch(train) [18][2500/3757] lr: 1.000e-02 eta: 23:39:49 time: 0.248 data_time: 0.020 memory: 6404 grad_norm: 4.9873 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2042 loss: 2.2042 2022/06/29 19:30:06 - mmengine - INFO - Epoch(train) [18][2520/3757] lr: 1.000e-02 eta: 23:39:46 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 5.9969 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7426 loss: 1.7426 2022/06/29 19:30:11 - mmengine - INFO - Epoch(train) [18][2540/3757] lr: 1.000e-02 eta: 23:39:39 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 6.0904 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2132 loss: 2.2132 2022/06/29 19:30:17 - mmengine - INFO - Epoch(train) [18][2560/3757] lr: 1.000e-02 eta: 23:39:35 time: 0.294 data_time: 0.093 memory: 6404 grad_norm: 5.2635 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1568 loss: 2.1568 2022/06/29 19:30:22 - mmengine - INFO - Epoch(train) [18][2580/3757] lr: 1.000e-02 eta: 23:39:29 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 5.7948 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3916 loss: 2.3916 2022/06/29 19:30:28 - mmengine - INFO - Epoch(train) [18][2600/3757] lr: 1.000e-02 eta: 23:39:25 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.7485 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7686 loss: 1.7686 2022/06/29 19:30:34 - mmengine - INFO - Epoch(train) [18][2620/3757] lr: 1.000e-02 eta: 23:39:20 time: 0.253 data_time: 0.023 memory: 6404 grad_norm: 5.8623 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2882 loss: 2.2882 2022/06/29 19:30:39 - mmengine - INFO - Epoch(train) [18][2640/3757] lr: 1.000e-02 eta: 23:39:13 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.4603 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5330 loss: 1.5330 2022/06/29 19:30:44 - mmengine - INFO - Epoch(train) [18][2660/3757] lr: 1.000e-02 eta: 23:39:05 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 5.4258 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2004 loss: 2.2004 2022/06/29 19:30:49 - mmengine - INFO - Epoch(train) [18][2680/3757] lr: 1.000e-02 eta: 23:38:59 time: 0.561 data_time: 0.074 memory: 6404 grad_norm: 5.8971 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5267 loss: 2.5267 2022/06/29 19:30:55 - mmengine - INFO - Epoch(train) [18][2700/3757] lr: 1.000e-02 eta: 23:38:54 time: 0.282 data_time: 0.054 memory: 6404 grad_norm: 4.9880 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1316 loss: 2.1316 2022/06/29 19:31:00 - mmengine - INFO - Epoch(train) [18][2720/3757] lr: 1.000e-02 eta: 23:38:47 time: 0.252 data_time: 0.015 memory: 6404 grad_norm: 5.9344 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0284 loss: 2.0284 2022/06/29 19:31:06 - mmengine - INFO - Epoch(train) [18][2740/3757] lr: 1.000e-02 eta: 23:38:45 time: 1.061 data_time: 0.154 memory: 6404 grad_norm: 5.4238 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3932 loss: 2.3932 2022/06/29 19:31:12 - mmengine - INFO - Epoch(train) [18][2760/3757] lr: 1.000e-02 eta: 23:38:38 time: 0.269 data_time: 0.013 memory: 6404 grad_norm: 5.7025 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2770 loss: 2.2770 2022/06/29 19:31:17 - mmengine - INFO - Epoch(train) [18][2780/3757] lr: 1.000e-02 eta: 23:38:33 time: 0.247 data_time: 0.022 memory: 6404 grad_norm: 6.4684 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8297 loss: 1.8297 2022/06/29 19:31:23 - mmengine - INFO - Epoch(train) [18][2800/3757] lr: 1.000e-02 eta: 23:38:26 time: 0.259 data_time: 0.030 memory: 6404 grad_norm: 6.0762 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2237 loss: 2.2237 2022/06/29 19:31:28 - mmengine - INFO - Epoch(train) [18][2820/3757] lr: 1.000e-02 eta: 23:38:21 time: 0.243 data_time: 0.021 memory: 6404 grad_norm: 5.2589 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3936 loss: 2.3936 2022/06/29 19:31:34 - mmengine - INFO - Epoch(train) [18][2840/3757] lr: 1.000e-02 eta: 23:38:16 time: 0.255 data_time: 0.019 memory: 6404 grad_norm: 4.9637 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6095 loss: 1.6095 2022/06/29 19:31:39 - mmengine - INFO - Epoch(train) [18][2860/3757] lr: 1.000e-02 eta: 23:38:11 time: 0.263 data_time: 0.022 memory: 6404 grad_norm: 6.0431 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0756 loss: 2.0756 2022/06/29 19:31:45 - mmengine - INFO - Epoch(train) [18][2880/3757] lr: 1.000e-02 eta: 23:38:06 time: 0.240 data_time: 0.026 memory: 6404 grad_norm: 5.3109 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8155 loss: 1.8155 2022/06/29 19:31:51 - mmengine - INFO - Epoch(train) [18][2900/3757] lr: 1.000e-02 eta: 23:38:01 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.7785 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4526 loss: 2.4526 2022/06/29 19:31:56 - mmengine - INFO - Epoch(train) [18][2920/3757] lr: 1.000e-02 eta: 23:37:57 time: 0.248 data_time: 0.053 memory: 6404 grad_norm: 5.4494 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1348 loss: 2.1348 2022/06/29 19:32:02 - mmengine - INFO - Epoch(train) [18][2940/3757] lr: 1.000e-02 eta: 23:37:50 time: 0.251 data_time: 0.015 memory: 6404 grad_norm: 5.3376 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3732 loss: 2.3732 2022/06/29 19:32:07 - mmengine - INFO - Epoch(train) [18][2960/3757] lr: 1.000e-02 eta: 23:37:46 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 6.0709 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9609 loss: 1.9609 2022/06/29 19:32:13 - mmengine - INFO - Epoch(train) [18][2980/3757] lr: 1.000e-02 eta: 23:37:39 time: 0.268 data_time: 0.050 memory: 6404 grad_norm: 5.3080 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1305 loss: 2.1305 2022/06/29 19:32:18 - mmengine - INFO - Epoch(train) [18][3000/3757] lr: 1.000e-02 eta: 23:37:32 time: 0.266 data_time: 0.009 memory: 6404 grad_norm: 5.6690 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6649 loss: 1.6649 2022/06/29 19:32:24 - mmengine - INFO - Epoch(train) [18][3020/3757] lr: 1.000e-02 eta: 23:37:28 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 4.9822 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7730 loss: 1.7730 2022/06/29 19:32:29 - mmengine - INFO - Epoch(train) [18][3040/3757] lr: 1.000e-02 eta: 23:37:23 time: 0.692 data_time: 0.027 memory: 6404 grad_norm: 5.5830 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5935 loss: 2.5935 2022/06/29 19:32:34 - mmengine - INFO - Epoch(train) [18][3060/3757] lr: 1.000e-02 eta: 23:37:16 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 5.4402 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3832 loss: 2.3832 2022/06/29 19:32:40 - mmengine - INFO - Epoch(train) [18][3080/3757] lr: 1.000e-02 eta: 23:37:10 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 5.9805 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3154 loss: 2.3154 2022/06/29 19:32:46 - mmengine - INFO - Epoch(train) [18][3100/3757] lr: 1.000e-02 eta: 23:37:05 time: 0.579 data_time: 0.015 memory: 6404 grad_norm: 4.9603 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4165 loss: 2.4165 2022/06/29 19:32:51 - mmengine - INFO - Epoch(train) [18][3120/3757] lr: 1.000e-02 eta: 23:37:00 time: 0.251 data_time: 0.016 memory: 6404 grad_norm: 5.2445 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.8230 loss: 2.8230 2022/06/29 19:32:54 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 19:32:57 - mmengine - INFO - Epoch(train) [18][3140/3757] lr: 1.000e-02 eta: 23:36:55 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 6.1933 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3660 loss: 2.3660 2022/06/29 19:33:02 - mmengine - INFO - Epoch(train) [18][3160/3757] lr: 1.000e-02 eta: 23:36:49 time: 0.287 data_time: 0.017 memory: 6404 grad_norm: 5.1780 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1354 loss: 2.1354 2022/06/29 19:33:07 - mmengine - INFO - Epoch(train) [18][3180/3757] lr: 1.000e-02 eta: 23:36:42 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 5.3073 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7315 loss: 1.7315 2022/06/29 19:33:13 - mmengine - INFO - Epoch(train) [18][3200/3757] lr: 1.000e-02 eta: 23:36:36 time: 0.306 data_time: 0.006 memory: 6404 grad_norm: 5.7565 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0092 loss: 2.0092 2022/06/29 19:33:19 - mmengine - INFO - Epoch(train) [18][3220/3757] lr: 1.000e-02 eta: 23:36:32 time: 0.252 data_time: 0.021 memory: 6404 grad_norm: 5.5284 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9476 loss: 1.9476 2022/06/29 19:33:24 - mmengine - INFO - Epoch(train) [18][3240/3757] lr: 1.000e-02 eta: 23:36:25 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 4.8936 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0205 loss: 2.0205 2022/06/29 19:33:30 - mmengine - INFO - Epoch(train) [18][3260/3757] lr: 1.000e-02 eta: 23:36:20 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 5.7095 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1294 loss: 2.1294 2022/06/29 19:33:35 - mmengine - INFO - Epoch(train) [18][3280/3757] lr: 1.000e-02 eta: 23:36:14 time: 0.265 data_time: 0.023 memory: 6404 grad_norm: 5.2861 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8760 loss: 1.8760 2022/06/29 19:33:41 - mmengine - INFO - Epoch(train) [18][3300/3757] lr: 1.000e-02 eta: 23:36:12 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.5042 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1613 loss: 2.1613 2022/06/29 19:33:47 - mmengine - INFO - Epoch(train) [18][3320/3757] lr: 1.000e-02 eta: 23:36:06 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 6.1224 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2218 loss: 2.2218 2022/06/29 19:33:52 - mmengine - INFO - Epoch(train) [18][3340/3757] lr: 1.000e-02 eta: 23:35:59 time: 0.255 data_time: 0.044 memory: 6404 grad_norm: 6.1452 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5942 loss: 2.5942 2022/06/29 19:33:57 - mmengine - INFO - Epoch(train) [18][3360/3757] lr: 1.000e-02 eta: 23:35:54 time: 0.244 data_time: 0.037 memory: 6404 grad_norm: 5.7556 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0655 loss: 2.0655 2022/06/29 19:34:02 - mmengine - INFO - Epoch(train) [18][3380/3757] lr: 1.000e-02 eta: 23:35:47 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.1087 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3304 loss: 2.3304 2022/06/29 19:34:08 - mmengine - INFO - Epoch(train) [18][3400/3757] lr: 1.000e-02 eta: 23:35:40 time: 0.341 data_time: 0.142 memory: 6404 grad_norm: 4.9845 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0648 loss: 2.0648 2022/06/29 19:34:14 - mmengine - INFO - Epoch(train) [18][3420/3757] lr: 1.000e-02 eta: 23:35:38 time: 0.242 data_time: 0.008 memory: 6404 grad_norm: 5.6703 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9340 loss: 1.9340 2022/06/29 19:34:19 - mmengine - INFO - Epoch(train) [18][3440/3757] lr: 1.000e-02 eta: 23:35:32 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 5.3470 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0394 loss: 2.0394 2022/06/29 19:34:25 - mmengine - INFO - Epoch(train) [18][3460/3757] lr: 1.000e-02 eta: 23:35:25 time: 0.264 data_time: 0.071 memory: 6404 grad_norm: 4.7703 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9192 loss: 1.9192 2022/06/29 19:34:30 - mmengine - INFO - Epoch(train) [18][3480/3757] lr: 1.000e-02 eta: 23:35:20 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.5098 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9888 loss: 1.9888 2022/06/29 19:34:36 - mmengine - INFO - Epoch(train) [18][3500/3757] lr: 1.000e-02 eta: 23:35:18 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.1008 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3261 loss: 2.3261 2022/06/29 19:34:41 - mmengine - INFO - Epoch(train) [18][3520/3757] lr: 1.000e-02 eta: 23:35:10 time: 0.249 data_time: 0.057 memory: 6404 grad_norm: 4.8713 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9688 loss: 1.9688 2022/06/29 19:34:47 - mmengine - INFO - Epoch(train) [18][3540/3757] lr: 1.000e-02 eta: 23:35:04 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.5153 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2132 loss: 2.2132 2022/06/29 19:34:52 - mmengine - INFO - Epoch(train) [18][3560/3757] lr: 1.000e-02 eta: 23:34:58 time: 0.253 data_time: 0.019 memory: 6404 grad_norm: 5.0262 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1861 loss: 2.1861 2022/06/29 19:34:58 - mmengine - INFO - Epoch(train) [18][3580/3757] lr: 1.000e-02 eta: 23:34:54 time: 0.256 data_time: 0.043 memory: 6404 grad_norm: 4.8693 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1820 loss: 2.1820 2022/06/29 19:35:04 - mmengine - INFO - Epoch(train) [18][3600/3757] lr: 1.000e-02 eta: 23:34:50 time: 0.242 data_time: 0.011 memory: 6404 grad_norm: 5.5057 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 1.9116 loss: 1.9116 2022/06/29 19:35:09 - mmengine - INFO - Epoch(train) [18][3620/3757] lr: 1.000e-02 eta: 23:34:44 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 5.7722 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1169 loss: 2.1169 2022/06/29 19:35:15 - mmengine - INFO - Epoch(train) [18][3640/3757] lr: 1.000e-02 eta: 23:34:37 time: 0.252 data_time: 0.063 memory: 6404 grad_norm: 5.4671 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9460 loss: 1.9460 2022/06/29 19:35:20 - mmengine - INFO - Epoch(train) [18][3660/3757] lr: 1.000e-02 eta: 23:34:30 time: 0.245 data_time: 0.019 memory: 6404 grad_norm: 5.2341 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9634 loss: 1.9634 2022/06/29 19:35:25 - mmengine - INFO - Epoch(train) [18][3680/3757] lr: 1.000e-02 eta: 23:34:23 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 5.1266 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1024 loss: 2.1024 2022/06/29 19:35:30 - mmengine - INFO - Epoch(train) [18][3700/3757] lr: 1.000e-02 eta: 23:34:17 time: 0.455 data_time: 0.267 memory: 6404 grad_norm: 5.1974 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3099 loss: 2.3099 2022/06/29 19:35:36 - mmengine - INFO - Epoch(train) [18][3720/3757] lr: 1.000e-02 eta: 23:34:14 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 5.1840 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4019 loss: 2.4019 2022/06/29 19:35:42 - mmengine - INFO - Epoch(train) [18][3740/3757] lr: 1.000e-02 eta: 23:34:09 time: 0.240 data_time: 0.009 memory: 6404 grad_norm: 5.3250 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2889 loss: 2.2889 2022/06/29 19:35:46 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 19:35:53 - mmengine - INFO - Epoch(val) [18][20/310] eta: 0:01:30 time: 0.091 data_time: 0.010 memory: 6404 2022/06/29 19:35:59 - mmengine - INFO - Epoch(val) [18][40/310] eta: 0:01:27 time: 0.101 data_time: 0.007 memory: 1479 2022/06/29 19:36:04 - mmengine - INFO - Epoch(val) [18][60/310] eta: 0:00:22 time: 0.080 data_time: 0.008 memory: 1479 2022/06/29 19:36:09 - mmengine - INFO - Epoch(val) [18][80/310] eta: 0:01:11 time: 0.085 data_time: 0.007 memory: 1479 2022/06/29 19:36:15 - mmengine - INFO - Epoch(val) [18][100/310] eta: 0:00:59 time: 0.541 data_time: 0.465 memory: 1479 2022/06/29 19:36:19 - mmengine - INFO - Epoch(val) [18][120/310] eta: 0:00:23 time: 0.090 data_time: 0.008 memory: 1479 2022/06/29 19:36:26 - mmengine - INFO - Epoch(val) [18][140/310] eta: 0:00:55 time: 0.085 data_time: 0.007 memory: 1479 2022/06/29 19:36:32 - mmengine - INFO - Epoch(val) [18][160/310] eta: 0:00:47 time: 1.504 data_time: 1.417 memory: 1479 2022/06/29 19:36:36 - mmengine - INFO - Epoch(val) [18][180/310] eta: 0:00:39 time: 0.077 data_time: 0.005 memory: 1479 2022/06/29 19:36:42 - mmengine - INFO - Epoch(val) [18][200/310] eta: 0:00:33 time: 0.080 data_time: 0.006 memory: 1479 2022/06/29 19:36:48 - mmengine - INFO - Epoch(val) [18][220/310] eta: 0:00:26 time: 0.614 data_time: 0.522 memory: 1479 2022/06/29 19:36:52 - mmengine - INFO - Epoch(val) [18][240/310] eta: 0:00:21 time: 0.084 data_time: 0.005 memory: 1479 2022/06/29 19:36:58 - mmengine - INFO - Epoch(val) [18][260/310] eta: 0:00:17 time: 0.082 data_time: 0.007 memory: 1479 2022/06/29 19:37:04 - mmengine - INFO - Epoch(val) [18][280/310] eta: 0:00:09 time: 1.320 data_time: 1.233 memory: 1479 2022/06/29 19:37:08 - mmengine - INFO - Epoch(val) [18][300/310] eta: 0:00:02 time: 0.081 data_time: 0.004 memory: 1479 2022/06/29 19:37:11 - mmengine - INFO - Epoch(val) [18][310/310] acc/top1: 0.5496 acc/top5: 0.7928 acc/mean1: 0.5495 2022/06/29 19:37:20 - mmengine - INFO - Epoch(train) [19][20/3757] lr: 1.000e-02 eta: 23:34:04 time: 0.240 data_time: 0.008 memory: 6404 grad_norm: 5.2871 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1235 loss: 2.1235 2022/06/29 19:37:26 - mmengine - INFO - Epoch(train) [19][40/3757] lr: 1.000e-02 eta: 23:34:02 time: 0.271 data_time: 0.011 memory: 6404 grad_norm: 6.2246 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1506 loss: 2.1506 2022/06/29 19:37:31 - mmengine - INFO - Epoch(train) [19][60/3757] lr: 1.000e-02 eta: 23:33:55 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.9174 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8545 loss: 1.8545 2022/06/29 19:37:37 - mmengine - INFO - Epoch(train) [19][80/3757] lr: 1.000e-02 eta: 23:33:48 time: 0.238 data_time: 0.008 memory: 6404 grad_norm: 5.2892 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0357 loss: 2.0357 2022/06/29 19:37:42 - mmengine - INFO - Epoch(train) [19][100/3757] lr: 1.000e-02 eta: 23:33:45 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 5.8273 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3934 loss: 2.3934 2022/06/29 19:37:48 - mmengine - INFO - Epoch(train) [19][120/3757] lr: 1.000e-02 eta: 23:33:39 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 4.4727 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8099 loss: 1.8099 2022/06/29 19:37:54 - mmengine - INFO - Epoch(train) [19][140/3757] lr: 1.000e-02 eta: 23:33:34 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 4.6485 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9782 loss: 1.9782 2022/06/29 19:37:59 - mmengine - INFO - Epoch(train) [19][160/3757] lr: 1.000e-02 eta: 23:33:28 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.1579 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8757 loss: 1.8757 2022/06/29 19:38:04 - mmengine - INFO - Epoch(train) [19][180/3757] lr: 1.000e-02 eta: 23:33:22 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.5779 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4619 loss: 2.4619 2022/06/29 19:38:10 - mmengine - INFO - Epoch(train) [19][200/3757] lr: 1.000e-02 eta: 23:33:16 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.4603 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0116 loss: 2.0116 2022/06/29 19:38:15 - mmengine - INFO - Epoch(train) [19][220/3757] lr: 1.000e-02 eta: 23:33:10 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 5.3027 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7820 loss: 1.7820 2022/06/29 19:38:21 - mmengine - INFO - Epoch(train) [19][240/3757] lr: 1.000e-02 eta: 23:33:04 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 4.7968 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7240 loss: 1.7240 2022/06/29 19:38:26 - mmengine - INFO - Epoch(train) [19][260/3757] lr: 1.000e-02 eta: 23:33:00 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 5.6560 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1673 loss: 2.1673 2022/06/29 19:38:32 - mmengine - INFO - Epoch(train) [19][280/3757] lr: 1.000e-02 eta: 23:32:55 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.1703 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1071 loss: 2.1071 2022/06/29 19:38:37 - mmengine - INFO - Epoch(train) [19][300/3757] lr: 1.000e-02 eta: 23:32:49 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.4766 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0439 loss: 2.0439 2022/06/29 19:38:43 - mmengine - INFO - Epoch(train) [19][320/3757] lr: 1.000e-02 eta: 23:32:44 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 4.8755 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3485 loss: 2.3485 2022/06/29 19:38:49 - mmengine - INFO - Epoch(train) [19][340/3757] lr: 1.000e-02 eta: 23:32:40 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 6.3092 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9726 loss: 1.9726 2022/06/29 19:38:54 - mmengine - INFO - Epoch(train) [19][360/3757] lr: 1.000e-02 eta: 23:32:32 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 4.9894 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8828 loss: 1.8828 2022/06/29 19:38:58 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 19:39:00 - mmengine - INFO - Epoch(train) [19][380/3757] lr: 1.000e-02 eta: 23:32:27 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 5.7913 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1722 loss: 2.1722 2022/06/29 19:39:05 - mmengine - INFO - Epoch(train) [19][400/3757] lr: 1.000e-02 eta: 23:32:22 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 5.5385 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0328 loss: 2.0328 2022/06/29 19:39:11 - mmengine - INFO - Epoch(train) [19][420/3757] lr: 1.000e-02 eta: 23:32:16 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 6.0378 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1410 loss: 2.1410 2022/06/29 19:39:16 - mmengine - INFO - Epoch(train) [19][440/3757] lr: 1.000e-02 eta: 23:32:11 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.4453 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.9762 loss: 1.9762 2022/06/29 19:39:22 - mmengine - INFO - Epoch(train) [19][460/3757] lr: 1.000e-02 eta: 23:32:06 time: 0.240 data_time: 0.010 memory: 6404 grad_norm: 5.4685 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1261 loss: 2.1261 2022/06/29 19:39:28 - mmengine - INFO - Epoch(train) [19][480/3757] lr: 1.000e-02 eta: 23:32:02 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.1222 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9384 loss: 1.9384 2022/06/29 19:39:33 - mmengine - INFO - Epoch(train) [19][500/3757] lr: 1.000e-02 eta: 23:31:56 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 5.2922 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.9499 loss: 1.9499 2022/06/29 19:39:38 - mmengine - INFO - Epoch(train) [19][520/3757] lr: 1.000e-02 eta: 23:31:50 time: 0.263 data_time: 0.006 memory: 6404 grad_norm: 4.0703 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0685 loss: 2.0685 2022/06/29 19:39:44 - mmengine - INFO - Epoch(train) [19][540/3757] lr: 1.000e-02 eta: 23:31:45 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 5.5889 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8912 loss: 1.8912 2022/06/29 19:39:49 - mmengine - INFO - Epoch(train) [19][560/3757] lr: 1.000e-02 eta: 23:31:38 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 5.5590 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2399 loss: 2.2399 2022/06/29 19:39:55 - mmengine - INFO - Epoch(train) [19][580/3757] lr: 1.000e-02 eta: 23:31:32 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 6.5546 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3920 loss: 2.3920 2022/06/29 19:40:00 - mmengine - INFO - Epoch(train) [19][600/3757] lr: 1.000e-02 eta: 23:31:25 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.9146 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9119 loss: 1.9119 2022/06/29 19:40:06 - mmengine - INFO - Epoch(train) [19][620/3757] lr: 1.000e-02 eta: 23:31:23 time: 0.394 data_time: 0.031 memory: 6404 grad_norm: 5.6430 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1428 loss: 2.1428 2022/06/29 19:40:11 - mmengine - INFO - Epoch(train) [19][640/3757] lr: 1.000e-02 eta: 23:31:15 time: 0.262 data_time: 0.012 memory: 6404 grad_norm: 5.6673 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9668 loss: 1.9668 2022/06/29 19:40:16 - mmengine - INFO - Epoch(train) [19][660/3757] lr: 1.000e-02 eta: 23:31:07 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.4901 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7372 loss: 1.7372 2022/06/29 19:40:22 - mmengine - INFO - Epoch(train) [19][680/3757] lr: 1.000e-02 eta: 23:31:03 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 5.5086 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6066 loss: 1.6066 2022/06/29 19:40:28 - mmengine - INFO - Epoch(train) [19][700/3757] lr: 1.000e-02 eta: 23:31:00 time: 0.246 data_time: 0.013 memory: 6404 grad_norm: 5.8893 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3180 loss: 2.3180 2022/06/29 19:40:33 - mmengine - INFO - Epoch(train) [19][720/3757] lr: 1.000e-02 eta: 23:30:54 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 5.5395 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2824 loss: 2.2824 2022/06/29 19:40:39 - mmengine - INFO - Epoch(train) [19][740/3757] lr: 1.000e-02 eta: 23:30:49 time: 0.524 data_time: 0.008 memory: 6404 grad_norm: 5.6725 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8789 loss: 1.8789 2022/06/29 19:40:44 - mmengine - INFO - Epoch(train) [19][760/3757] lr: 1.000e-02 eta: 23:30:42 time: 0.261 data_time: 0.012 memory: 6404 grad_norm: 5.4801 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1410 loss: 2.1410 2022/06/29 19:40:50 - mmengine - INFO - Epoch(train) [19][780/3757] lr: 1.000e-02 eta: 23:30:38 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 4.8418 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1658 loss: 2.1658 2022/06/29 19:40:56 - mmengine - INFO - Epoch(train) [19][800/3757] lr: 1.000e-02 eta: 23:30:34 time: 0.365 data_time: 0.011 memory: 6404 grad_norm: 5.4560 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2918 loss: 2.2918 2022/06/29 19:41:01 - mmengine - INFO - Epoch(train) [19][820/3757] lr: 1.000e-02 eta: 23:30:26 time: 0.248 data_time: 0.015 memory: 6404 grad_norm: 5.5064 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9626 loss: 1.9626 2022/06/29 19:41:06 - mmengine - INFO - Epoch(train) [19][840/3757] lr: 1.000e-02 eta: 23:30:21 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.4781 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0755 loss: 2.0755 2022/06/29 19:41:12 - mmengine - INFO - Epoch(train) [19][860/3757] lr: 1.000e-02 eta: 23:30:14 time: 0.350 data_time: 0.006 memory: 6404 grad_norm: 5.8619 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0644 loss: 2.0644 2022/06/29 19:41:17 - mmengine - INFO - Epoch(train) [19][880/3757] lr: 1.000e-02 eta: 23:30:06 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 5.5813 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0270 loss: 2.0270 2022/06/29 19:41:22 - mmengine - INFO - Epoch(train) [19][900/3757] lr: 1.000e-02 eta: 23:30:01 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 6.3297 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2008 loss: 2.2008 2022/06/29 19:41:28 - mmengine - INFO - Epoch(train) [19][920/3757] lr: 1.000e-02 eta: 23:29:55 time: 0.266 data_time: 0.010 memory: 6404 grad_norm: 5.4830 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8327 loss: 1.8327 2022/06/29 19:41:33 - mmengine - INFO - Epoch(train) [19][940/3757] lr: 1.000e-02 eta: 23:29:49 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 5.3933 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9771 loss: 1.9771 2022/06/29 19:41:39 - mmengine - INFO - Epoch(train) [19][960/3757] lr: 1.000e-02 eta: 23:29:44 time: 0.266 data_time: 0.006 memory: 6404 grad_norm: 5.6115 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9420 loss: 1.9420 2022/06/29 19:41:44 - mmengine - INFO - Epoch(train) [19][980/3757] lr: 1.000e-02 eta: 23:29:39 time: 0.502 data_time: 0.012 memory: 6404 grad_norm: 4.7823 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2659 loss: 2.2659 2022/06/29 19:41:50 - mmengine - INFO - Epoch(train) [19][1000/3757] lr: 1.000e-02 eta: 23:29:35 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 5.1157 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0442 loss: 2.0442 2022/06/29 19:41:56 - mmengine - INFO - Epoch(train) [19][1020/3757] lr: 1.000e-02 eta: 23:29:30 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.1029 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1771 loss: 2.1771 2022/06/29 19:42:01 - mmengine - INFO - Epoch(train) [19][1040/3757] lr: 1.000e-02 eta: 23:29:24 time: 0.371 data_time: 0.006 memory: 6404 grad_norm: 5.7569 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1275 loss: 2.1275 2022/06/29 19:42:07 - mmengine - INFO - Epoch(train) [19][1060/3757] lr: 1.000e-02 eta: 23:29:18 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 4.8356 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8786 loss: 1.8786 2022/06/29 19:42:12 - mmengine - INFO - Epoch(train) [19][1080/3757] lr: 1.000e-02 eta: 23:29:12 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.8465 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7327 loss: 1.7327 2022/06/29 19:42:17 - mmengine - INFO - Epoch(train) [19][1100/3757] lr: 1.000e-02 eta: 23:29:06 time: 0.429 data_time: 0.010 memory: 6404 grad_norm: 5.3832 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6179 loss: 1.6179 2022/06/29 19:42:23 - mmengine - INFO - Epoch(train) [19][1120/3757] lr: 1.000e-02 eta: 23:29:02 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 6.0459 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1386 loss: 2.1386 2022/06/29 19:42:29 - mmengine - INFO - Epoch(train) [19][1140/3757] lr: 1.000e-02 eta: 23:28:56 time: 0.271 data_time: 0.007 memory: 6404 grad_norm: 5.0647 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0328 loss: 2.0328 2022/06/29 19:42:34 - mmengine - INFO - Epoch(train) [19][1160/3757] lr: 1.000e-02 eta: 23:28:50 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 5.9652 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8467 loss: 1.8467 2022/06/29 19:42:40 - mmengine - INFO - Epoch(train) [19][1180/3757] lr: 1.000e-02 eta: 23:28:46 time: 0.258 data_time: 0.017 memory: 6404 grad_norm: 6.2465 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4373 loss: 2.4373 2022/06/29 19:42:45 - mmengine - INFO - Epoch(train) [19][1200/3757] lr: 1.000e-02 eta: 23:28:40 time: 0.287 data_time: 0.006 memory: 6404 grad_norm: 5.4527 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0057 loss: 2.0057 2022/06/29 19:42:51 - mmengine - INFO - Epoch(train) [19][1220/3757] lr: 1.000e-02 eta: 23:28:36 time: 0.251 data_time: 0.016 memory: 6404 grad_norm: 6.3692 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6948 loss: 1.6948 2022/06/29 19:42:56 - mmengine - INFO - Epoch(train) [19][1240/3757] lr: 1.000e-02 eta: 23:28:29 time: 0.389 data_time: 0.183 memory: 6404 grad_norm: 5.1220 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1976 loss: 2.1976 2022/06/29 19:43:02 - mmengine - INFO - Epoch(train) [19][1260/3757] lr: 1.000e-02 eta: 23:28:23 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 5.7736 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9819 loss: 1.9819 2022/06/29 19:43:07 - mmengine - INFO - Epoch(train) [19][1280/3757] lr: 1.000e-02 eta: 23:28:17 time: 0.244 data_time: 0.018 memory: 6404 grad_norm: 5.4527 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3039 loss: 2.3039 2022/06/29 19:43:13 - mmengine - INFO - Epoch(train) [19][1300/3757] lr: 1.000e-02 eta: 23:28:12 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 4.7875 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4817 loss: 2.4817 2022/06/29 19:43:18 - mmengine - INFO - Epoch(train) [19][1320/3757] lr: 1.000e-02 eta: 23:28:06 time: 0.245 data_time: 0.018 memory: 6404 grad_norm: 6.6680 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0026 loss: 2.0026 2022/06/29 19:43:23 - mmengine - INFO - Epoch(train) [19][1340/3757] lr: 1.000e-02 eta: 23:27:59 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 5.7914 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2437 loss: 2.2437 2022/06/29 19:43:29 - mmengine - INFO - Epoch(train) [19][1360/3757] lr: 1.000e-02 eta: 23:27:54 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.9373 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8752 loss: 1.8752 2022/06/29 19:43:33 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 19:43:35 - mmengine - INFO - Epoch(train) [19][1380/3757] lr: 1.000e-02 eta: 23:27:49 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 5.9169 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1615 loss: 2.1615 2022/06/29 19:43:40 - mmengine - INFO - Epoch(train) [19][1400/3757] lr: 1.000e-02 eta: 23:27:43 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 5.8840 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9283 loss: 1.9283 2022/06/29 19:43:46 - mmengine - INFO - Epoch(train) [19][1420/3757] lr: 1.000e-02 eta: 23:27:38 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.1368 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0883 loss: 2.0883 2022/06/29 19:43:51 - mmengine - INFO - Epoch(train) [19][1440/3757] lr: 1.000e-02 eta: 23:27:32 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 5.3913 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1287 loss: 2.1287 2022/06/29 19:43:56 - mmengine - INFO - Epoch(train) [19][1460/3757] lr: 1.000e-02 eta: 23:27:25 time: 0.246 data_time: 0.015 memory: 6404 grad_norm: 5.5049 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6863 loss: 1.6863 2022/06/29 19:44:02 - mmengine - INFO - Epoch(train) [19][1480/3757] lr: 1.000e-02 eta: 23:27:19 time: 0.246 data_time: 0.014 memory: 6404 grad_norm: 5.5654 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0700 loss: 2.0700 2022/06/29 19:44:07 - mmengine - INFO - Epoch(train) [19][1500/3757] lr: 1.000e-02 eta: 23:27:14 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 4.8786 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2603 loss: 2.2603 2022/06/29 19:44:13 - mmengine - INFO - Epoch(train) [19][1520/3757] lr: 1.000e-02 eta: 23:27:08 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.3407 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7016 loss: 1.7016 2022/06/29 19:44:18 - mmengine - INFO - Epoch(train) [19][1540/3757] lr: 1.000e-02 eta: 23:27:01 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 4.8876 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8469 loss: 1.8469 2022/06/29 19:44:23 - mmengine - INFO - Epoch(train) [19][1560/3757] lr: 1.000e-02 eta: 23:26:54 time: 0.342 data_time: 0.014 memory: 6404 grad_norm: 6.0811 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0922 loss: 2.0922 2022/06/29 19:44:29 - mmengine - INFO - Epoch(train) [19][1580/3757] lr: 1.000e-02 eta: 23:26:49 time: 0.240 data_time: 0.012 memory: 6404 grad_norm: 4.7471 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9201 loss: 1.9201 2022/06/29 19:44:34 - mmengine - INFO - Epoch(train) [19][1600/3757] lr: 1.000e-02 eta: 23:26:43 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 6.5079 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9922 loss: 1.9922 2022/06/29 19:44:40 - mmengine - INFO - Epoch(train) [19][1620/3757] lr: 1.000e-02 eta: 23:26:39 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 6.0809 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3350 loss: 2.3350 2022/06/29 19:44:45 - mmengine - INFO - Epoch(train) [19][1640/3757] lr: 1.000e-02 eta: 23:26:33 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.4940 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0557 loss: 2.0557 2022/06/29 19:44:51 - mmengine - INFO - Epoch(train) [19][1660/3757] lr: 1.000e-02 eta: 23:26:28 time: 0.253 data_time: 0.020 memory: 6404 grad_norm: 5.4360 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7690 loss: 1.7690 2022/06/29 19:44:56 - mmengine - INFO - Epoch(train) [19][1680/3757] lr: 1.000e-02 eta: 23:26:21 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 4.2533 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1629 loss: 2.1629 2022/06/29 19:45:01 - mmengine - INFO - Epoch(train) [19][1700/3757] lr: 1.000e-02 eta: 23:26:15 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.5245 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0026 loss: 2.0026 2022/06/29 19:45:08 - mmengine - INFO - Epoch(train) [19][1720/3757] lr: 1.000e-02 eta: 23:26:12 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 5.6176 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0884 loss: 2.0884 2022/06/29 19:45:13 - mmengine - INFO - Epoch(train) [19][1740/3757] lr: 1.000e-02 eta: 23:26:05 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.3913 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9958 loss: 1.9958 2022/06/29 19:45:18 - mmengine - INFO - Epoch(train) [19][1760/3757] lr: 1.000e-02 eta: 23:25:59 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.2609 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4101 loss: 2.4101 2022/06/29 19:45:24 - mmengine - INFO - Epoch(train) [19][1780/3757] lr: 1.000e-02 eta: 23:25:54 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.2254 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6064 loss: 1.6064 2022/06/29 19:45:29 - mmengine - INFO - Epoch(train) [19][1800/3757] lr: 1.000e-02 eta: 23:25:48 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.5509 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0562 loss: 2.0562 2022/06/29 19:45:34 - mmengine - INFO - Epoch(train) [19][1820/3757] lr: 1.000e-02 eta: 23:25:41 time: 0.252 data_time: 0.020 memory: 6404 grad_norm: 5.9730 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1706 loss: 2.1706 2022/06/29 19:45:40 - mmengine - INFO - Epoch(train) [19][1840/3757] lr: 1.000e-02 eta: 23:25:34 time: 0.246 data_time: 0.013 memory: 6404 grad_norm: 6.2036 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1032 loss: 2.1032 2022/06/29 19:45:46 - mmengine - INFO - Epoch(train) [19][1860/3757] lr: 1.000e-02 eta: 23:25:31 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 5.2955 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2191 loss: 2.2191 2022/06/29 19:45:51 - mmengine - INFO - Epoch(train) [19][1880/3757] lr: 1.000e-02 eta: 23:25:25 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 5.9053 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8048 loss: 1.8048 2022/06/29 19:45:57 - mmengine - INFO - Epoch(train) [19][1900/3757] lr: 1.000e-02 eta: 23:25:21 time: 0.244 data_time: 0.021 memory: 6404 grad_norm: 5.3454 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7170 loss: 1.7170 2022/06/29 19:46:04 - mmengine - INFO - Epoch(train) [19][1920/3757] lr: 1.000e-02 eta: 23:25:21 time: 0.237 data_time: 0.007 memory: 6404 grad_norm: 5.3371 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9558 loss: 1.9558 2022/06/29 19:46:09 - mmengine - INFO - Epoch(train) [19][1940/3757] lr: 1.000e-02 eta: 23:25:14 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 5.5249 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8301 loss: 1.8301 2022/06/29 19:46:14 - mmengine - INFO - Epoch(train) [19][1960/3757] lr: 1.000e-02 eta: 23:25:07 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 5.8836 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9506 loss: 1.9506 2022/06/29 19:46:19 - mmengine - INFO - Epoch(train) [19][1980/3757] lr: 1.000e-02 eta: 23:25:00 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 5.4658 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1870 loss: 2.1870 2022/06/29 19:46:24 - mmengine - INFO - Epoch(train) [19][2000/3757] lr: 1.000e-02 eta: 23:24:52 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 5.4057 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3449 loss: 2.3449 2022/06/29 19:46:29 - mmengine - INFO - Epoch(train) [19][2020/3757] lr: 1.000e-02 eta: 23:24:45 time: 0.246 data_time: 0.020 memory: 6404 grad_norm: 6.3610 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8184 loss: 1.8184 2022/06/29 19:46:34 - mmengine - INFO - Epoch(train) [19][2040/3757] lr: 1.000e-02 eta: 23:24:38 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 5.8226 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1915 loss: 2.1915 2022/06/29 19:46:40 - mmengine - INFO - Epoch(train) [19][2060/3757] lr: 1.000e-02 eta: 23:24:33 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 5.7035 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0586 loss: 2.0586 2022/06/29 19:46:45 - mmengine - INFO - Epoch(train) [19][2080/3757] lr: 1.000e-02 eta: 23:24:27 time: 0.254 data_time: 0.019 memory: 6404 grad_norm: 5.3190 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0255 loss: 2.0255 2022/06/29 19:46:51 - mmengine - INFO - Epoch(train) [19][2100/3757] lr: 1.000e-02 eta: 23:24:23 time: 0.352 data_time: 0.006 memory: 6404 grad_norm: 5.5454 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0696 loss: 2.0696 2022/06/29 19:46:57 - mmengine - INFO - Epoch(train) [19][2120/3757] lr: 1.000e-02 eta: 23:24:19 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 5.1775 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9546 loss: 1.9546 2022/06/29 19:47:02 - mmengine - INFO - Epoch(train) [19][2140/3757] lr: 1.000e-02 eta: 23:24:12 time: 0.248 data_time: 0.027 memory: 6404 grad_norm: 5.8126 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9998 loss: 1.9998 2022/06/29 19:47:08 - mmengine - INFO - Epoch(train) [19][2160/3757] lr: 1.000e-02 eta: 23:24:08 time: 0.647 data_time: 0.008 memory: 6404 grad_norm: 5.8520 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9064 loss: 1.9064 2022/06/29 19:47:14 - mmengine - INFO - Epoch(train) [19][2180/3757] lr: 1.000e-02 eta: 23:24:02 time: 0.264 data_time: 0.010 memory: 6404 grad_norm: 5.5116 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1103 loss: 2.1103 2022/06/29 19:47:20 - mmengine - INFO - Epoch(train) [19][2200/3757] lr: 1.000e-02 eta: 23:23:59 time: 0.258 data_time: 0.019 memory: 6404 grad_norm: 5.3559 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9046 loss: 1.9046 2022/06/29 19:47:25 - mmengine - INFO - Epoch(train) [19][2220/3757] lr: 1.000e-02 eta: 23:23:52 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 5.8385 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7697 loss: 1.7697 2022/06/29 19:47:31 - mmengine - INFO - Epoch(train) [19][2240/3757] lr: 1.000e-02 eta: 23:23:47 time: 0.282 data_time: 0.008 memory: 6404 grad_norm: 5.9986 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1579 loss: 2.1579 2022/06/29 19:47:36 - mmengine - INFO - Epoch(train) [19][2260/3757] lr: 1.000e-02 eta: 23:23:43 time: 0.687 data_time: 0.467 memory: 6404 grad_norm: 5.1378 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9785 loss: 1.9785 2022/06/29 19:47:42 - mmengine - INFO - Epoch(train) [19][2280/3757] lr: 1.000e-02 eta: 23:23:36 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.7118 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0482 loss: 2.0482 2022/06/29 19:47:48 - mmengine - INFO - Epoch(train) [19][2300/3757] lr: 1.000e-02 eta: 23:23:33 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.3426 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4938 loss: 2.4938 2022/06/29 19:47:53 - mmengine - INFO - Epoch(train) [19][2320/3757] lr: 1.000e-02 eta: 23:23:25 time: 0.242 data_time: 0.046 memory: 6404 grad_norm: 5.7427 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2371 loss: 2.2371 2022/06/29 19:47:58 - mmengine - INFO - Epoch(train) [19][2340/3757] lr: 1.000e-02 eta: 23:23:20 time: 0.585 data_time: 0.007 memory: 6404 grad_norm: 5.3937 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7366 loss: 1.7366 2022/06/29 19:48:04 - mmengine - INFO - Epoch(train) [19][2360/3757] lr: 1.000e-02 eta: 23:23:16 time: 0.280 data_time: 0.007 memory: 6404 grad_norm: 5.7191 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1498 loss: 2.1498 2022/06/29 19:48:08 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 19:48:09 - mmengine - INFO - Epoch(train) [19][2380/3757] lr: 1.000e-02 eta: 23:23:09 time: 0.257 data_time: 0.068 memory: 6404 grad_norm: 5.6272 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5394 loss: 2.5394 2022/06/29 19:48:14 - mmengine - INFO - Epoch(train) [19][2400/3757] lr: 1.000e-02 eta: 23:23:01 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 4.7771 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0980 loss: 2.0980 2022/06/29 19:48:20 - mmengine - INFO - Epoch(train) [19][2420/3757] lr: 1.000e-02 eta: 23:22:57 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 5.3613 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1266 loss: 2.1266 2022/06/29 19:48:26 - mmengine - INFO - Epoch(train) [19][2440/3757] lr: 1.000e-02 eta: 23:22:52 time: 0.251 data_time: 0.023 memory: 6404 grad_norm: 6.0100 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1401 loss: 2.1401 2022/06/29 19:48:31 - mmengine - INFO - Epoch(train) [19][2460/3757] lr: 1.000e-02 eta: 23:22:46 time: 0.261 data_time: 0.006 memory: 6404 grad_norm: 6.0527 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1180 loss: 2.1180 2022/06/29 19:48:37 - mmengine - INFO - Epoch(train) [19][2480/3757] lr: 1.000e-02 eta: 23:22:41 time: 0.275 data_time: 0.008 memory: 6404 grad_norm: 4.4858 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8049 loss: 1.8049 2022/06/29 19:48:42 - mmengine - INFO - Epoch(train) [19][2500/3757] lr: 1.000e-02 eta: 23:22:36 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 5.2751 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8696 loss: 1.8696 2022/06/29 19:48:47 - mmengine - INFO - Epoch(train) [19][2520/3757] lr: 1.000e-02 eta: 23:22:28 time: 0.286 data_time: 0.008 memory: 6404 grad_norm: 4.8462 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0539 loss: 2.0539 2022/06/29 19:48:54 - mmengine - INFO - Epoch(train) [19][2540/3757] lr: 1.000e-02 eta: 23:22:25 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 5.9239 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1157 loss: 2.1157 2022/06/29 19:48:59 - mmengine - INFO - Epoch(train) [19][2560/3757] lr: 1.000e-02 eta: 23:22:20 time: 0.255 data_time: 0.018 memory: 6404 grad_norm: 4.8631 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6038 loss: 1.6038 2022/06/29 19:49:04 - mmengine - INFO - Epoch(train) [19][2580/3757] lr: 1.000e-02 eta: 23:22:14 time: 0.481 data_time: 0.008 memory: 6404 grad_norm: 5.9536 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0404 loss: 2.0404 2022/06/29 19:49:10 - mmengine - INFO - Epoch(train) [19][2600/3757] lr: 1.000e-02 eta: 23:22:07 time: 0.247 data_time: 0.013 memory: 6404 grad_norm: 6.0683 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9915 loss: 1.9915 2022/06/29 19:49:16 - mmengine - INFO - Epoch(train) [19][2620/3757] lr: 1.000e-02 eta: 23:22:04 time: 0.252 data_time: 0.020 memory: 6404 grad_norm: 5.5153 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8951 loss: 1.8951 2022/06/29 19:49:21 - mmengine - INFO - Epoch(train) [19][2640/3757] lr: 1.000e-02 eta: 23:21:56 time: 0.268 data_time: 0.009 memory: 6404 grad_norm: 5.5562 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1100 loss: 2.1100 2022/06/29 19:49:26 - mmengine - INFO - Epoch(train) [19][2660/3757] lr: 1.000e-02 eta: 23:21:51 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.0284 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0233 loss: 2.0233 2022/06/29 19:49:33 - mmengine - INFO - Epoch(train) [19][2680/3757] lr: 1.000e-02 eta: 23:21:49 time: 0.244 data_time: 0.019 memory: 6404 grad_norm: 5.8526 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9410 loss: 1.9410 2022/06/29 19:49:38 - mmengine - INFO - Epoch(train) [19][2700/3757] lr: 1.000e-02 eta: 23:21:43 time: 0.266 data_time: 0.008 memory: 6404 grad_norm: 5.3323 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8681 loss: 1.8681 2022/06/29 19:49:43 - mmengine - INFO - Epoch(train) [19][2720/3757] lr: 1.000e-02 eta: 23:21:35 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 5.6147 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3447 loss: 2.3447 2022/06/29 19:49:49 - mmengine - INFO - Epoch(train) [19][2740/3757] lr: 1.000e-02 eta: 23:21:31 time: 0.247 data_time: 0.018 memory: 6404 grad_norm: 5.4576 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1802 loss: 2.1802 2022/06/29 19:49:54 - mmengine - INFO - Epoch(train) [19][2760/3757] lr: 1.000e-02 eta: 23:21:25 time: 0.433 data_time: 0.007 memory: 6404 grad_norm: 4.6137 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1788 loss: 2.1788 2022/06/29 19:49:59 - mmengine - INFO - Epoch(train) [19][2780/3757] lr: 1.000e-02 eta: 23:21:18 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.2651 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7714 loss: 2.7714 2022/06/29 19:50:05 - mmengine - INFO - Epoch(train) [19][2800/3757] lr: 1.000e-02 eta: 23:21:15 time: 0.249 data_time: 0.034 memory: 6404 grad_norm: 5.8380 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9893 loss: 1.9893 2022/06/29 19:50:11 - mmengine - INFO - Epoch(train) [19][2820/3757] lr: 1.000e-02 eta: 23:21:10 time: 0.419 data_time: 0.006 memory: 6404 grad_norm: 5.1518 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0981 loss: 2.0981 2022/06/29 19:50:16 - mmengine - INFO - Epoch(train) [19][2840/3757] lr: 1.000e-02 eta: 23:21:02 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.8411 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7280 loss: 1.7280 2022/06/29 19:50:22 - mmengine - INFO - Epoch(train) [19][2860/3757] lr: 1.000e-02 eta: 23:20:59 time: 0.263 data_time: 0.064 memory: 6404 grad_norm: 5.6198 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9099 loss: 1.9099 2022/06/29 19:50:27 - mmengine - INFO - Epoch(train) [19][2880/3757] lr: 1.000e-02 eta: 23:20:53 time: 0.427 data_time: 0.013 memory: 6404 grad_norm: 5.3418 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9879 loss: 1.9879 2022/06/29 19:50:33 - mmengine - INFO - Epoch(train) [19][2900/3757] lr: 1.000e-02 eta: 23:20:47 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.6559 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5061 loss: 2.5061 2022/06/29 19:50:38 - mmengine - INFO - Epoch(train) [19][2920/3757] lr: 1.000e-02 eta: 23:20:40 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.5756 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0010 loss: 2.0010 2022/06/29 19:50:43 - mmengine - INFO - Epoch(train) [19][2940/3757] lr: 1.000e-02 eta: 23:20:33 time: 0.348 data_time: 0.007 memory: 6404 grad_norm: 5.1879 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9353 loss: 1.9353 2022/06/29 19:50:49 - mmengine - INFO - Epoch(train) [19][2960/3757] lr: 1.000e-02 eta: 23:20:27 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 6.0681 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9349 loss: 1.9349 2022/06/29 19:50:54 - mmengine - INFO - Epoch(train) [19][2980/3757] lr: 1.000e-02 eta: 23:20:21 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 5.4134 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0204 loss: 2.0204 2022/06/29 19:50:59 - mmengine - INFO - Epoch(train) [19][3000/3757] lr: 1.000e-02 eta: 23:20:15 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.1117 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1471 loss: 2.1471 2022/06/29 19:51:05 - mmengine - INFO - Epoch(train) [19][3020/3757] lr: 1.000e-02 eta: 23:20:09 time: 0.514 data_time: 0.006 memory: 6404 grad_norm: 6.0490 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9804 loss: 1.9804 2022/06/29 19:51:10 - mmengine - INFO - Epoch(train) [19][3040/3757] lr: 1.000e-02 eta: 23:20:03 time: 0.238 data_time: 0.008 memory: 6404 grad_norm: 5.2748 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9142 loss: 1.9142 2022/06/29 19:51:16 - mmengine - INFO - Epoch(train) [19][3060/3757] lr: 1.000e-02 eta: 23:20:00 time: 0.238 data_time: 0.010 memory: 6404 grad_norm: 5.5030 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9578 loss: 1.9578 2022/06/29 19:51:22 - mmengine - INFO - Epoch(train) [19][3080/3757] lr: 1.000e-02 eta: 23:19:53 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.7272 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9249 loss: 1.9249 2022/06/29 19:51:28 - mmengine - INFO - Epoch(train) [19][3100/3757] lr: 1.000e-02 eta: 23:19:51 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.2274 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0257 loss: 2.0257 2022/06/29 19:51:33 - mmengine - INFO - Epoch(train) [19][3120/3757] lr: 1.000e-02 eta: 23:19:44 time: 0.273 data_time: 0.007 memory: 6404 grad_norm: 5.9172 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8671 loss: 1.8671 2022/06/29 19:51:39 - mmengine - INFO - Epoch(train) [19][3140/3757] lr: 1.000e-02 eta: 23:19:40 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 5.6637 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2796 loss: 2.2796 2022/06/29 19:51:44 - mmengine - INFO - Epoch(train) [19][3160/3757] lr: 1.000e-02 eta: 23:19:34 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 6.7896 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3003 loss: 2.3003 2022/06/29 19:51:50 - mmengine - INFO - Epoch(train) [19][3180/3757] lr: 1.000e-02 eta: 23:19:27 time: 0.276 data_time: 0.010 memory: 6404 grad_norm: 4.7404 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7706 loss: 1.7706 2022/06/29 19:51:55 - mmengine - INFO - Epoch(train) [19][3200/3757] lr: 1.000e-02 eta: 23:19:22 time: 0.565 data_time: 0.007 memory: 6404 grad_norm: 5.9721 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8138 loss: 1.8138 2022/06/29 19:52:01 - mmengine - INFO - Epoch(train) [19][3220/3757] lr: 1.000e-02 eta: 23:19:17 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 5.7506 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4635 loss: 2.4635 2022/06/29 19:52:06 - mmengine - INFO - Epoch(train) [19][3240/3757] lr: 1.000e-02 eta: 23:19:11 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.4588 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7963 loss: 1.7963 2022/06/29 19:52:11 - mmengine - INFO - Epoch(train) [19][3260/3757] lr: 1.000e-02 eta: 23:19:04 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 5.5470 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7367 loss: 1.7367 2022/06/29 19:52:17 - mmengine - INFO - Epoch(train) [19][3280/3757] lr: 1.000e-02 eta: 23:18:59 time: 0.288 data_time: 0.008 memory: 6404 grad_norm: 5.4539 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8962 loss: 1.8962 2022/06/29 19:52:23 - mmengine - INFO - Epoch(train) [19][3300/3757] lr: 1.000e-02 eta: 23:18:55 time: 0.261 data_time: 0.006 memory: 6404 grad_norm: 5.4494 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 2.3977 loss: 2.3977 2022/06/29 19:52:28 - mmengine - INFO - Epoch(train) [19][3320/3757] lr: 1.000e-02 eta: 23:18:49 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.1370 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5619 loss: 1.5619 2022/06/29 19:52:34 - mmengine - INFO - Epoch(train) [19][3340/3757] lr: 1.000e-02 eta: 23:18:43 time: 0.246 data_time: 0.012 memory: 6404 grad_norm: 5.5605 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9647 loss: 1.9647 2022/06/29 19:52:39 - mmengine - INFO - Epoch(train) [19][3360/3757] lr: 1.000e-02 eta: 23:18:37 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.1635 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1285 loss: 2.1285 2022/06/29 19:52:43 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 19:52:45 - mmengine - INFO - Epoch(train) [19][3380/3757] lr: 1.000e-02 eta: 23:18:32 time: 0.344 data_time: 0.006 memory: 6404 grad_norm: 5.0716 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1909 loss: 2.1909 2022/06/29 19:52:50 - mmengine - INFO - Epoch(train) [19][3400/3757] lr: 1.000e-02 eta: 23:18:26 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.2637 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1657 loss: 2.1657 2022/06/29 19:52:56 - mmengine - INFO - Epoch(train) [19][3420/3757] lr: 1.000e-02 eta: 23:18:21 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.0601 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6898 loss: 1.6898 2022/06/29 19:53:01 - mmengine - INFO - Epoch(train) [19][3440/3757] lr: 1.000e-02 eta: 23:18:16 time: 0.530 data_time: 0.007 memory: 6404 grad_norm: 5.2224 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9997 loss: 1.9997 2022/06/29 19:53:06 - mmengine - INFO - Epoch(train) [19][3460/3757] lr: 1.000e-02 eta: 23:18:09 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 4.8870 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4027 loss: 2.4027 2022/06/29 19:53:12 - mmengine - INFO - Epoch(train) [19][3480/3757] lr: 1.000e-02 eta: 23:18:03 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 5.1401 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2436 loss: 2.2436 2022/06/29 19:53:18 - mmengine - INFO - Epoch(train) [19][3500/3757] lr: 1.000e-02 eta: 23:17:59 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.3926 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9427 loss: 1.9427 2022/06/29 19:53:23 - mmengine - INFO - Epoch(train) [19][3520/3757] lr: 1.000e-02 eta: 23:17:53 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 5.5452 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1962 loss: 2.1962 2022/06/29 19:53:29 - mmengine - INFO - Epoch(train) [19][3540/3757] lr: 1.000e-02 eta: 23:17:47 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 5.2893 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1738 loss: 2.1738 2022/06/29 19:53:34 - mmengine - INFO - Epoch(train) [19][3560/3757] lr: 1.000e-02 eta: 23:17:43 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 5.6643 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1275 loss: 2.1275 2022/06/29 19:53:39 - mmengine - INFO - Epoch(train) [19][3580/3757] lr: 1.000e-02 eta: 23:17:35 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 5.2615 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0773 loss: 2.0773 2022/06/29 19:53:45 - mmengine - INFO - Epoch(train) [19][3600/3757] lr: 1.000e-02 eta: 23:17:30 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 5.3659 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2279 loss: 2.2279 2022/06/29 19:53:51 - mmengine - INFO - Epoch(train) [19][3620/3757] lr: 1.000e-02 eta: 23:17:26 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 6.8978 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8610 loss: 1.8610 2022/06/29 19:53:56 - mmengine - INFO - Epoch(train) [19][3640/3757] lr: 1.000e-02 eta: 23:17:18 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 5.5237 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2088 loss: 2.2088 2022/06/29 19:54:01 - mmengine - INFO - Epoch(train) [19][3660/3757] lr: 1.000e-02 eta: 23:17:13 time: 0.264 data_time: 0.010 memory: 6404 grad_norm: 5.2849 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4403 loss: 2.4403 2022/06/29 19:54:06 - mmengine - INFO - Epoch(train) [19][3680/3757] lr: 1.000e-02 eta: 23:17:06 time: 0.246 data_time: 0.012 memory: 6404 grad_norm: 5.1034 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1010 loss: 2.1010 2022/06/29 19:54:12 - mmengine - INFO - Epoch(train) [19][3700/3757] lr: 1.000e-02 eta: 23:16:59 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 5.4619 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7075 loss: 1.7075 2022/06/29 19:54:17 - mmengine - INFO - Epoch(train) [19][3720/3757] lr: 1.000e-02 eta: 23:16:53 time: 0.364 data_time: 0.012 memory: 6404 grad_norm: 5.6408 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1270 loss: 2.1270 2022/06/29 19:54:23 - mmengine - INFO - Epoch(train) [19][3740/3757] lr: 1.000e-02 eta: 23:16:47 time: 0.257 data_time: 0.017 memory: 6404 grad_norm: 5.4454 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1429 loss: 2.1429 2022/06/29 19:54:27 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 19:54:34 - mmengine - INFO - Epoch(val) [19][20/310] eta: 0:01:23 time: 0.093 data_time: 0.008 memory: 6404 2022/06/29 19:54:40 - mmengine - INFO - Epoch(val) [19][40/310] eta: 0:01:14 time: 0.094 data_time: 0.015 memory: 1479 2022/06/29 19:54:44 - mmengine - INFO - Epoch(val) [19][60/310] eta: 0:00:23 time: 0.089 data_time: 0.008 memory: 1479 2022/06/29 19:54:50 - mmengine - INFO - Epoch(val) [19][80/310] eta: 0:01:08 time: 0.098 data_time: 0.019 memory: 1479 2022/06/29 19:54:56 - mmengine - INFO - Epoch(val) [19][100/310] eta: 0:01:02 time: 0.091 data_time: 0.005 memory: 1479 2022/06/29 19:55:00 - mmengine - INFO - Epoch(val) [19][120/310] eta: 0:00:23 time: 0.085 data_time: 0.006 memory: 1479 2022/06/29 19:55:06 - mmengine - INFO - Epoch(val) [19][140/310] eta: 0:00:55 time: 0.091 data_time: 0.006 memory: 1479 2022/06/29 19:55:12 - mmengine - INFO - Epoch(val) [19][160/310] eta: 0:00:46 time: 1.040 data_time: 0.957 memory: 1479 2022/06/29 19:55:17 - mmengine - INFO - Epoch(val) [19][180/310] eta: 0:00:26 time: 0.081 data_time: 0.006 memory: 1479 2022/06/29 19:55:23 - mmengine - INFO - Epoch(val) [19][200/310] eta: 0:00:33 time: 0.088 data_time: 0.005 memory: 1479 2022/06/29 19:55:28 - mmengine - INFO - Epoch(val) [19][220/310] eta: 0:00:26 time: 0.307 data_time: 0.215 memory: 1479 2022/06/29 19:55:32 - mmengine - INFO - Epoch(val) [19][240/310] eta: 0:00:06 time: 0.089 data_time: 0.009 memory: 1479 2022/06/29 19:55:38 - mmengine - INFO - Epoch(val) [19][260/310] eta: 0:00:15 time: 0.086 data_time: 0.009 memory: 1479 2022/06/29 19:55:44 - mmengine - INFO - Epoch(val) [19][280/310] eta: 0:00:07 time: 0.096 data_time: 0.008 memory: 1479 2022/06/29 19:55:47 - mmengine - INFO - Epoch(val) [19][300/310] eta: 0:00:01 time: 0.085 data_time: 0.006 memory: 1479 2022/06/29 19:55:50 - mmengine - INFO - Epoch(val) [19][310/310] acc/top1: 0.5547 acc/top5: 0.7976 acc/mean1: 0.5546 2022/06/29 19:56:00 - mmengine - INFO - Epoch(train) [20][20/3757] lr: 1.000e-02 eta: 23:16:43 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.7455 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1127 loss: 2.1127 2022/06/29 19:56:05 - mmengine - INFO - Epoch(train) [20][40/3757] lr: 1.000e-02 eta: 23:16:37 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.0690 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8712 loss: 1.8712 2022/06/29 19:56:11 - mmengine - INFO - Epoch(train) [20][60/3757] lr: 1.000e-02 eta: 23:16:31 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.6729 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0437 loss: 2.0437 2022/06/29 19:56:16 - mmengine - INFO - Epoch(train) [20][80/3757] lr: 1.000e-02 eta: 23:16:27 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.1309 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6037 loss: 1.6037 2022/06/29 19:56:22 - mmengine - INFO - Epoch(train) [20][100/3757] lr: 1.000e-02 eta: 23:16:20 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.4089 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1671 loss: 2.1671 2022/06/29 19:56:27 - mmengine - INFO - Epoch(train) [20][120/3757] lr: 1.000e-02 eta: 23:16:15 time: 0.254 data_time: 0.032 memory: 6404 grad_norm: 5.5942 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0003 loss: 2.0003 2022/06/29 19:56:33 - mmengine - INFO - Epoch(train) [20][140/3757] lr: 1.000e-02 eta: 23:16:12 time: 0.252 data_time: 0.018 memory: 6404 grad_norm: 5.1901 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1872 loss: 2.1872 2022/06/29 19:56:38 - mmengine - INFO - Epoch(train) [20][160/3757] lr: 1.000e-02 eta: 23:16:05 time: 0.366 data_time: 0.010 memory: 6404 grad_norm: 5.2320 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2191 loss: 2.2191 2022/06/29 19:56:44 - mmengine - INFO - Epoch(train) [20][180/3757] lr: 1.000e-02 eta: 23:16:00 time: 0.300 data_time: 0.008 memory: 6404 grad_norm: 4.9686 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8894 loss: 1.8894 2022/06/29 19:56:49 - mmengine - INFO - Epoch(train) [20][200/3757] lr: 1.000e-02 eta: 23:15:53 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 6.0693 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2462 loss: 2.2462 2022/06/29 19:56:55 - mmengine - INFO - Epoch(train) [20][220/3757] lr: 1.000e-02 eta: 23:15:47 time: 0.321 data_time: 0.007 memory: 6404 grad_norm: 6.1550 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2411 loss: 2.2411 2022/06/29 19:57:00 - mmengine - INFO - Epoch(train) [20][240/3757] lr: 1.000e-02 eta: 23:15:42 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.5564 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0276 loss: 2.0276 2022/06/29 19:57:06 - mmengine - INFO - Epoch(train) [20][260/3757] lr: 1.000e-02 eta: 23:15:36 time: 0.249 data_time: 0.024 memory: 6404 grad_norm: 5.6415 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8109 loss: 1.8109 2022/06/29 19:57:12 - mmengine - INFO - Epoch(train) [20][280/3757] lr: 1.000e-02 eta: 23:15:32 time: 0.526 data_time: 0.010 memory: 6404 grad_norm: 5.8198 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5555 loss: 1.5555 2022/06/29 19:57:17 - mmengine - INFO - Epoch(train) [20][300/3757] lr: 1.000e-02 eta: 23:15:26 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 5.6155 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7371 loss: 1.7371 2022/06/29 19:57:22 - mmengine - INFO - Epoch(train) [20][320/3757] lr: 1.000e-02 eta: 23:15:19 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 5.5000 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8848 loss: 1.8848 2022/06/29 19:57:29 - mmengine - INFO - Epoch(train) [20][340/3757] lr: 1.000e-02 eta: 23:15:17 time: 1.533 data_time: 0.010 memory: 6404 grad_norm: 5.2035 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9500 loss: 1.9500 2022/06/29 19:57:34 - mmengine - INFO - Epoch(train) [20][360/3757] lr: 1.000e-02 eta: 23:15:10 time: 0.250 data_time: 0.015 memory: 6404 grad_norm: 5.5640 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0953 loss: 2.0953 2022/06/29 19:57:39 - mmengine - INFO - Epoch(train) [20][380/3757] lr: 1.000e-02 eta: 23:15:02 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 5.8991 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7676 loss: 1.7676 2022/06/29 19:57:44 - mmengine - INFO - Epoch(train) [20][400/3757] lr: 1.000e-02 eta: 23:14:56 time: 0.245 data_time: 0.012 memory: 6404 grad_norm: 5.2089 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9708 loss: 1.9708 2022/06/29 19:57:49 - mmengine - INFO - Epoch(train) [20][420/3757] lr: 1.000e-02 eta: 23:14:49 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 6.2377 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1980 loss: 2.1980 2022/06/29 19:57:54 - mmengine - INFO - Epoch(train) [20][440/3757] lr: 1.000e-02 eta: 23:14:42 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.3295 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1303 loss: 2.1303 2022/06/29 19:57:59 - mmengine - INFO - Epoch(train) [20][460/3757] lr: 1.000e-02 eta: 23:14:34 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 5.5775 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1147 loss: 2.1147 2022/06/29 19:58:04 - mmengine - INFO - Epoch(train) [20][480/3757] lr: 1.000e-02 eta: 23:14:28 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.1231 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1207 loss: 2.1207 2022/06/29 19:58:10 - mmengine - INFO - Epoch(train) [20][500/3757] lr: 1.000e-02 eta: 23:14:23 time: 0.241 data_time: 0.008 memory: 6404 grad_norm: 6.0493 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3145 loss: 2.3145 2022/06/29 19:58:15 - mmengine - INFO - Epoch(train) [20][520/3757] lr: 1.000e-02 eta: 23:14:16 time: 0.276 data_time: 0.008 memory: 6404 grad_norm: 5.2967 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1741 loss: 2.1741 2022/06/29 19:58:21 - mmengine - INFO - Epoch(train) [20][540/3757] lr: 1.000e-02 eta: 23:14:12 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.4472 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0272 loss: 2.0272 2022/06/29 19:58:27 - mmengine - INFO - Epoch(train) [20][560/3757] lr: 1.000e-02 eta: 23:14:07 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 4.7747 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.5438 loss: 2.5438 2022/06/29 19:58:32 - mmengine - INFO - Epoch(train) [20][580/3757] lr: 1.000e-02 eta: 23:14:01 time: 0.251 data_time: 0.020 memory: 6404 grad_norm: 5.7692 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8903 loss: 1.8903 2022/06/29 19:58:38 - mmengine - INFO - Epoch(train) [20][600/3757] lr: 1.000e-02 eta: 23:13:57 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 5.8837 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9445 loss: 1.9445 2022/06/29 19:58:43 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 19:58:44 - mmengine - INFO - Epoch(train) [20][620/3757] lr: 1.000e-02 eta: 23:13:54 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.9330 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7359 loss: 1.7359 2022/06/29 19:58:50 - mmengine - INFO - Epoch(train) [20][640/3757] lr: 1.000e-02 eta: 23:13:48 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.5565 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0188 loss: 2.0188 2022/06/29 19:58:55 - mmengine - INFO - Epoch(train) [20][660/3757] lr: 1.000e-02 eta: 23:13:41 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.5500 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7670 loss: 1.7670 2022/06/29 19:59:01 - mmengine - INFO - Epoch(train) [20][680/3757] lr: 1.000e-02 eta: 23:13:37 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.1268 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1864 loss: 2.1864 2022/06/29 19:59:06 - mmengine - INFO - Epoch(train) [20][700/3757] lr: 1.000e-02 eta: 23:13:30 time: 0.253 data_time: 0.017 memory: 6404 grad_norm: 5.5851 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0885 loss: 2.0885 2022/06/29 19:59:12 - mmengine - INFO - Epoch(train) [20][720/3757] lr: 1.000e-02 eta: 23:13:26 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 6.3118 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0702 loss: 2.0702 2022/06/29 19:59:17 - mmengine - INFO - Epoch(train) [20][740/3757] lr: 1.000e-02 eta: 23:13:20 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 4.8578 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6226 loss: 1.6226 2022/06/29 19:59:22 - mmengine - INFO - Epoch(train) [20][760/3757] lr: 1.000e-02 eta: 23:13:12 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.2748 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9056 loss: 1.9056 2022/06/29 19:59:28 - mmengine - INFO - Epoch(train) [20][780/3757] lr: 1.000e-02 eta: 23:13:09 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 5.4571 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9696 loss: 1.9696 2022/06/29 19:59:34 - mmengine - INFO - Epoch(train) [20][800/3757] lr: 1.000e-02 eta: 23:13:04 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.0568 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3145 loss: 2.3145 2022/06/29 19:59:39 - mmengine - INFO - Epoch(train) [20][820/3757] lr: 1.000e-02 eta: 23:12:58 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 5.1898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0395 loss: 2.0395 2022/06/29 19:59:45 - mmengine - INFO - Epoch(train) [20][840/3757] lr: 1.000e-02 eta: 23:12:54 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 5.4529 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7093 loss: 2.7093 2022/06/29 19:59:50 - mmengine - INFO - Epoch(train) [20][860/3757] lr: 1.000e-02 eta: 23:12:47 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 6.3252 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0610 loss: 2.0610 2022/06/29 19:59:56 - mmengine - INFO - Epoch(train) [20][880/3757] lr: 1.000e-02 eta: 23:12:41 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 4.8421 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9934 loss: 1.9934 2022/06/29 20:00:01 - mmengine - INFO - Epoch(train) [20][900/3757] lr: 1.000e-02 eta: 23:12:37 time: 0.230 data_time: 0.006 memory: 6404 grad_norm: 6.5655 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1319 loss: 2.1319 2022/06/29 20:00:07 - mmengine - INFO - Epoch(train) [20][920/3757] lr: 1.000e-02 eta: 23:12:30 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 5.4205 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8361 loss: 1.8361 2022/06/29 20:00:13 - mmengine - INFO - Epoch(train) [20][940/3757] lr: 1.000e-02 eta: 23:12:27 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 4.6369 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9963 loss: 1.9963 2022/06/29 20:00:18 - mmengine - INFO - Epoch(train) [20][960/3757] lr: 1.000e-02 eta: 23:12:22 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 6.0228 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9989 loss: 1.9989 2022/06/29 20:00:24 - mmengine - INFO - Epoch(train) [20][980/3757] lr: 1.000e-02 eta: 23:12:16 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 4.7987 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8337 loss: 1.8337 2022/06/29 20:00:29 - mmengine - INFO - Epoch(train) [20][1000/3757] lr: 1.000e-02 eta: 23:12:11 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 4.9348 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4362 loss: 2.4362 2022/06/29 20:00:35 - mmengine - INFO - Epoch(train) [20][1020/3757] lr: 1.000e-02 eta: 23:12:06 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 5.1350 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7123 loss: 1.7123 2022/06/29 20:00:41 - mmengine - INFO - Epoch(train) [20][1040/3757] lr: 1.000e-02 eta: 23:12:02 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 6.1444 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4497 loss: 2.4497 2022/06/29 20:00:46 - mmengine - INFO - Epoch(train) [20][1060/3757] lr: 1.000e-02 eta: 23:11:55 time: 0.242 data_time: 0.014 memory: 6404 grad_norm: 5.8492 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4866 loss: 1.4866 2022/06/29 20:00:51 - mmengine - INFO - Epoch(train) [20][1080/3757] lr: 1.000e-02 eta: 23:11:48 time: 0.247 data_time: 0.015 memory: 6404 grad_norm: 5.7096 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8934 loss: 1.8934 2022/06/29 20:00:56 - mmengine - INFO - Epoch(train) [20][1100/3757] lr: 1.000e-02 eta: 23:11:41 time: 0.265 data_time: 0.006 memory: 6404 grad_norm: 5.8955 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9079 loss: 1.9079 2022/06/29 20:01:02 - mmengine - INFO - Epoch(train) [20][1120/3757] lr: 1.000e-02 eta: 23:11:34 time: 0.247 data_time: 0.017 memory: 6404 grad_norm: 5.4950 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0560 loss: 2.0560 2022/06/29 20:01:07 - mmengine - INFO - Epoch(train) [20][1140/3757] lr: 1.000e-02 eta: 23:11:29 time: 0.249 data_time: 0.025 memory: 6404 grad_norm: 5.9807 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2811 loss: 1.2811 2022/06/29 20:01:12 - mmengine - INFO - Epoch(train) [20][1160/3757] lr: 1.000e-02 eta: 23:11:22 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.4744 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1451 loss: 2.1451 2022/06/29 20:01:18 - mmengine - INFO - Epoch(train) [20][1180/3757] lr: 1.000e-02 eta: 23:11:19 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 5.8152 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6715 loss: 1.6715 2022/06/29 20:01:24 - mmengine - INFO - Epoch(train) [20][1200/3757] lr: 1.000e-02 eta: 23:11:14 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 4.5227 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2118 loss: 2.2118 2022/06/29 20:01:29 - mmengine - INFO - Epoch(train) [20][1220/3757] lr: 1.000e-02 eta: 23:11:07 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 5.6505 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2984 loss: 2.2984 2022/06/29 20:01:35 - mmengine - INFO - Epoch(train) [20][1240/3757] lr: 1.000e-02 eta: 23:11:03 time: 0.375 data_time: 0.007 memory: 6404 grad_norm: 5.7157 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8444 loss: 1.8444 2022/06/29 20:01:41 - mmengine - INFO - Epoch(train) [20][1260/3757] lr: 1.000e-02 eta: 23:10:58 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 5.6091 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9340 loss: 1.9340 2022/06/29 20:01:46 - mmengine - INFO - Epoch(train) [20][1280/3757] lr: 1.000e-02 eta: 23:10:51 time: 0.261 data_time: 0.006 memory: 6404 grad_norm: 5.3344 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1153 loss: 2.1153 2022/06/29 20:01:52 - mmengine - INFO - Epoch(train) [20][1300/3757] lr: 1.000e-02 eta: 23:10:46 time: 0.642 data_time: 0.010 memory: 6404 grad_norm: 6.1564 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0463 loss: 2.0463 2022/06/29 20:01:57 - mmengine - INFO - Epoch(train) [20][1320/3757] lr: 1.000e-02 eta: 23:10:40 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.7267 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9602 loss: 1.9602 2022/06/29 20:02:02 - mmengine - INFO - Epoch(train) [20][1340/3757] lr: 1.000e-02 eta: 23:10:34 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 5.3056 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7335 loss: 1.7335 2022/06/29 20:02:08 - mmengine - INFO - Epoch(train) [20][1360/3757] lr: 1.000e-02 eta: 23:10:29 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.6382 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4276 loss: 2.4276 2022/06/29 20:02:14 - mmengine - INFO - Epoch(train) [20][1380/3757] lr: 1.000e-02 eta: 23:10:26 time: 0.261 data_time: 0.009 memory: 6404 grad_norm: 5.3014 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0225 loss: 2.0225 2022/06/29 20:02:20 - mmengine - INFO - Epoch(train) [20][1400/3757] lr: 1.000e-02 eta: 23:10:23 time: 0.259 data_time: 0.006 memory: 6404 grad_norm: 5.2304 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2111 loss: 2.2111 2022/06/29 20:02:25 - mmengine - INFO - Epoch(train) [20][1420/3757] lr: 1.000e-02 eta: 23:10:15 time: 0.234 data_time: 0.009 memory: 6404 grad_norm: 5.6674 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6676 loss: 1.6676 2022/06/29 20:02:30 - mmengine - INFO - Epoch(train) [20][1440/3757] lr: 1.000e-02 eta: 23:10:08 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 5.5646 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1898 loss: 2.1898 2022/06/29 20:02:35 - mmengine - INFO - Epoch(train) [20][1460/3757] lr: 1.000e-02 eta: 23:10:01 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 5.9186 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9253 loss: 1.9253 2022/06/29 20:02:41 - mmengine - INFO - Epoch(train) [20][1480/3757] lr: 1.000e-02 eta: 23:09:54 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.7257 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6916 loss: 1.6916 2022/06/29 20:02:46 - mmengine - INFO - Epoch(train) [20][1500/3757] lr: 1.000e-02 eta: 23:09:49 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.8348 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9431 loss: 1.9431 2022/06/29 20:02:52 - mmengine - INFO - Epoch(train) [20][1520/3757] lr: 1.000e-02 eta: 23:09:43 time: 0.482 data_time: 0.006 memory: 6404 grad_norm: 5.1746 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3887 loss: 2.3887 2022/06/29 20:02:57 - mmengine - INFO - Epoch(train) [20][1540/3757] lr: 1.000e-02 eta: 23:09:38 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 4.9724 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1103 loss: 2.1103 2022/06/29 20:03:03 - mmengine - INFO - Epoch(train) [20][1560/3757] lr: 1.000e-02 eta: 23:09:33 time: 0.239 data_time: 0.008 memory: 6404 grad_norm: 5.3216 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3224 loss: 2.3224 2022/06/29 20:03:08 - mmengine - INFO - Epoch(train) [20][1580/3757] lr: 1.000e-02 eta: 23:09:28 time: 0.265 data_time: 0.016 memory: 6404 grad_norm: 5.1786 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9178 loss: 1.9178 2022/06/29 20:03:14 - mmengine - INFO - Epoch(train) [20][1600/3757] lr: 1.000e-02 eta: 23:09:23 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 5.7041 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3607 loss: 2.3607 2022/06/29 20:03:19 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 20:03:20 - mmengine - INFO - Epoch(train) [20][1620/3757] lr: 1.000e-02 eta: 23:09:17 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.3984 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3387 loss: 2.3387 2022/06/29 20:03:25 - mmengine - INFO - Epoch(train) [20][1640/3757] lr: 1.000e-02 eta: 23:09:11 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 4.9008 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0308 loss: 2.0308 2022/06/29 20:03:31 - mmengine - INFO - Epoch(train) [20][1660/3757] lr: 1.000e-02 eta: 23:09:06 time: 0.264 data_time: 0.012 memory: 6404 grad_norm: 5.5707 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0684 loss: 2.0684 2022/06/29 20:03:37 - mmengine - INFO - Epoch(train) [20][1680/3757] lr: 1.000e-02 eta: 23:09:03 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 6.2489 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6533 loss: 1.6533 2022/06/29 20:03:42 - mmengine - INFO - Epoch(train) [20][1700/3757] lr: 1.000e-02 eta: 23:08:57 time: 0.251 data_time: 0.026 memory: 6404 grad_norm: 6.0304 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2389 loss: 2.2389 2022/06/29 20:03:48 - mmengine - INFO - Epoch(train) [20][1720/3757] lr: 1.000e-02 eta: 23:08:52 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.7105 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3721 loss: 2.3721 2022/06/29 20:03:53 - mmengine - INFO - Epoch(train) [20][1740/3757] lr: 1.000e-02 eta: 23:08:45 time: 0.263 data_time: 0.006 memory: 6404 grad_norm: 5.0058 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9042 loss: 1.9042 2022/06/29 20:03:58 - mmengine - INFO - Epoch(train) [20][1760/3757] lr: 1.000e-02 eta: 23:08:39 time: 0.374 data_time: 0.032 memory: 6404 grad_norm: 4.9111 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7645 loss: 1.7645 2022/06/29 20:04:04 - mmengine - INFO - Epoch(train) [20][1780/3757] lr: 1.000e-02 eta: 23:08:36 time: 0.259 data_time: 0.014 memory: 6404 grad_norm: 4.8547 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0880 loss: 2.0880 2022/06/29 20:04:10 - mmengine - INFO - Epoch(train) [20][1800/3757] lr: 1.000e-02 eta: 23:08:33 time: 0.303 data_time: 0.007 memory: 6404 grad_norm: 5.6116 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9910 loss: 1.9910 2022/06/29 20:04:16 - mmengine - INFO - Epoch(train) [20][1820/3757] lr: 1.000e-02 eta: 23:08:26 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.2221 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.0777 loss: 2.0777 2022/06/29 20:04:21 - mmengine - INFO - Epoch(train) [20][1840/3757] lr: 1.000e-02 eta: 23:08:20 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 5.7230 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1304 loss: 2.1304 2022/06/29 20:04:26 - mmengine - INFO - Epoch(train) [20][1860/3757] lr: 1.000e-02 eta: 23:08:13 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 5.6723 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7221 loss: 1.7221 2022/06/29 20:04:31 - mmengine - INFO - Epoch(train) [20][1880/3757] lr: 1.000e-02 eta: 23:08:06 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.1136 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9461 loss: 1.9461 2022/06/29 20:04:37 - mmengine - INFO - Epoch(train) [20][1900/3757] lr: 1.000e-02 eta: 23:08:03 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 5.9117 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0013 loss: 2.0013 2022/06/29 20:04:43 - mmengine - INFO - Epoch(train) [20][1920/3757] lr: 1.000e-02 eta: 23:07:57 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.2339 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2059 loss: 2.2059 2022/06/29 20:04:48 - mmengine - INFO - Epoch(train) [20][1940/3757] lr: 1.000e-02 eta: 23:07:51 time: 0.411 data_time: 0.018 memory: 6404 grad_norm: 5.3428 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0106 loss: 2.0106 2022/06/29 20:04:54 - mmengine - INFO - Epoch(train) [20][1960/3757] lr: 1.000e-02 eta: 23:07:46 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.6711 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0489 loss: 2.0489 2022/06/29 20:04:59 - mmengine - INFO - Epoch(train) [20][1980/3757] lr: 1.000e-02 eta: 23:07:39 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 4.9635 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3657 loss: 2.3657 2022/06/29 20:05:05 - mmengine - INFO - Epoch(train) [20][2000/3757] lr: 1.000e-02 eta: 23:07:36 time: 0.237 data_time: 0.045 memory: 6404 grad_norm: 6.2729 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1377 loss: 2.1377 2022/06/29 20:05:11 - mmengine - INFO - Epoch(train) [20][2020/3757] lr: 1.000e-02 eta: 23:07:32 time: 0.279 data_time: 0.056 memory: 6404 grad_norm: 6.0008 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8838 loss: 1.8838 2022/06/29 20:05:17 - mmengine - INFO - Epoch(train) [20][2040/3757] lr: 1.000e-02 eta: 23:07:27 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 4.6494 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8023 loss: 1.8023 2022/06/29 20:05:22 - mmengine - INFO - Epoch(train) [20][2060/3757] lr: 1.000e-02 eta: 23:07:20 time: 0.250 data_time: 0.020 memory: 6404 grad_norm: 5.2553 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4564 loss: 2.4564 2022/06/29 20:05:27 - mmengine - INFO - Epoch(train) [20][2080/3757] lr: 1.000e-02 eta: 23:07:13 time: 0.253 data_time: 0.035 memory: 6404 grad_norm: 4.9024 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8291 loss: 1.8291 2022/06/29 20:05:32 - mmengine - INFO - Epoch(train) [20][2100/3757] lr: 1.000e-02 eta: 23:07:07 time: 0.384 data_time: 0.006 memory: 6404 grad_norm: 5.4890 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2542 loss: 2.2542 2022/06/29 20:05:37 - mmengine - INFO - Epoch(train) [20][2120/3757] lr: 1.000e-02 eta: 23:07:00 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.2962 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4025 loss: 2.4025 2022/06/29 20:05:43 - mmengine - INFO - Epoch(train) [20][2140/3757] lr: 1.000e-02 eta: 23:06:55 time: 0.246 data_time: 0.043 memory: 6404 grad_norm: 5.6270 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9420 loss: 1.9420 2022/06/29 20:05:49 - mmengine - INFO - Epoch(train) [20][2160/3757] lr: 1.000e-02 eta: 23:06:51 time: 0.287 data_time: 0.007 memory: 6404 grad_norm: 5.0476 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0387 loss: 2.0387 2022/06/29 20:05:54 - mmengine - INFO - Epoch(train) [20][2180/3757] lr: 1.000e-02 eta: 23:06:44 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 4.9578 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1526 loss: 2.1526 2022/06/29 20:06:00 - mmengine - INFO - Epoch(train) [20][2200/3757] lr: 1.000e-02 eta: 23:06:39 time: 0.263 data_time: 0.051 memory: 6404 grad_norm: 5.2704 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9896 loss: 1.9896 2022/06/29 20:06:06 - mmengine - INFO - Epoch(train) [20][2220/3757] lr: 1.000e-02 eta: 23:06:36 time: 0.849 data_time: 0.008 memory: 6404 grad_norm: 5.7477 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8387 loss: 1.8387 2022/06/29 20:06:11 - mmengine - INFO - Epoch(train) [20][2240/3757] lr: 1.000e-02 eta: 23:06:29 time: 0.249 data_time: 0.016 memory: 6404 grad_norm: 5.6769 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2377 loss: 2.2377 2022/06/29 20:06:17 - mmengine - INFO - Epoch(train) [20][2260/3757] lr: 1.000e-02 eta: 23:06:25 time: 0.257 data_time: 0.034 memory: 6404 grad_norm: 6.2426 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1527 loss: 2.1527 2022/06/29 20:06:23 - mmengine - INFO - Epoch(train) [20][2280/3757] lr: 1.000e-02 eta: 23:06:20 time: 0.553 data_time: 0.011 memory: 6404 grad_norm: 4.4196 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0699 loss: 2.0699 2022/06/29 20:06:28 - mmengine - INFO - Epoch(train) [20][2300/3757] lr: 1.000e-02 eta: 23:06:13 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 5.4106 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3259 loss: 2.3259 2022/06/29 20:06:33 - mmengine - INFO - Epoch(train) [20][2320/3757] lr: 1.000e-02 eta: 23:06:07 time: 0.261 data_time: 0.017 memory: 6404 grad_norm: 5.5336 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0857 loss: 2.0857 2022/06/29 20:06:39 - mmengine - INFO - Epoch(train) [20][2340/3757] lr: 1.000e-02 eta: 23:06:03 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 5.5149 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8657 loss: 1.8657 2022/06/29 20:06:44 - mmengine - INFO - Epoch(train) [20][2360/3757] lr: 1.000e-02 eta: 23:05:56 time: 0.243 data_time: 0.028 memory: 6404 grad_norm: 6.0182 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4999 loss: 2.4999 2022/06/29 20:06:50 - mmengine - INFO - Epoch(train) [20][2380/3757] lr: 1.000e-02 eta: 23:05:51 time: 0.248 data_time: 0.056 memory: 6404 grad_norm: 5.2814 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2936 loss: 2.2936 2022/06/29 20:06:55 - mmengine - INFO - Epoch(train) [20][2400/3757] lr: 1.000e-02 eta: 23:05:46 time: 0.795 data_time: 0.006 memory: 6404 grad_norm: 5.5109 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9486 loss: 1.9486 2022/06/29 20:07:01 - mmengine - INFO - Epoch(train) [20][2420/3757] lr: 1.000e-02 eta: 23:05:40 time: 0.240 data_time: 0.021 memory: 6404 grad_norm: 6.2118 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1518 loss: 2.1518 2022/06/29 20:07:06 - mmengine - INFO - Epoch(train) [20][2440/3757] lr: 1.000e-02 eta: 23:05:34 time: 0.260 data_time: 0.025 memory: 6404 grad_norm: 5.6631 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1214 loss: 2.1214 2022/06/29 20:07:12 - mmengine - INFO - Epoch(train) [20][2460/3757] lr: 1.000e-02 eta: 23:05:28 time: 0.332 data_time: 0.010 memory: 6404 grad_norm: 6.2764 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3767 loss: 2.3767 2022/06/29 20:07:17 - mmengine - INFO - Epoch(train) [20][2480/3757] lr: 1.000e-02 eta: 23:05:23 time: 0.249 data_time: 0.019 memory: 6404 grad_norm: 5.5697 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9016 loss: 1.9016 2022/06/29 20:07:23 - mmengine - INFO - Epoch(train) [20][2500/3757] lr: 1.000e-02 eta: 23:05:20 time: 0.260 data_time: 0.020 memory: 6404 grad_norm: 6.2534 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3527 loss: 2.3527 2022/06/29 20:07:28 - mmengine - INFO - Epoch(train) [20][2520/3757] lr: 1.000e-02 eta: 23:05:12 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.8179 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7491 loss: 1.7491 2022/06/29 20:07:33 - mmengine - INFO - Epoch(train) [20][2540/3757] lr: 1.000e-02 eta: 23:05:05 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.2540 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2213 loss: 2.2213 2022/06/29 20:07:39 - mmengine - INFO - Epoch(train) [20][2560/3757] lr: 1.000e-02 eta: 23:04:58 time: 0.493 data_time: 0.020 memory: 6404 grad_norm: 5.0204 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4875 loss: 2.4875 2022/06/29 20:07:44 - mmengine - INFO - Epoch(train) [20][2580/3757] lr: 1.000e-02 eta: 23:04:53 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.7397 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2843 loss: 2.2843 2022/06/29 20:07:50 - mmengine - INFO - Epoch(train) [20][2600/3757] lr: 1.000e-02 eta: 23:04:50 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 5.3447 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3215 loss: 2.3215 2022/06/29 20:07:55 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 20:07:56 - mmengine - INFO - Epoch(train) [20][2620/3757] lr: 1.000e-02 eta: 23:04:46 time: 0.267 data_time: 0.012 memory: 6404 grad_norm: 5.6020 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0636 loss: 2.0636 2022/06/29 20:08:02 - mmengine - INFO - Epoch(train) [20][2640/3757] lr: 1.000e-02 eta: 23:04:41 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 6.1580 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2959 loss: 2.2959 2022/06/29 20:08:07 - mmengine - INFO - Epoch(train) [20][2660/3757] lr: 1.000e-02 eta: 23:04:36 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.7864 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4718 loss: 2.4718 2022/06/29 20:08:13 - mmengine - INFO - Epoch(train) [20][2680/3757] lr: 1.000e-02 eta: 23:04:29 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.3457 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7919 loss: 1.7919 2022/06/29 20:08:18 - mmengine - INFO - Epoch(train) [20][2700/3757] lr: 1.000e-02 eta: 23:04:23 time: 0.263 data_time: 0.015 memory: 6404 grad_norm: 5.5402 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0513 loss: 2.0513 2022/06/29 20:08:24 - mmengine - INFO - Epoch(train) [20][2720/3757] lr: 1.000e-02 eta: 23:04:19 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.3099 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0569 loss: 2.0569 2022/06/29 20:08:29 - mmengine - INFO - Epoch(train) [20][2740/3757] lr: 1.000e-02 eta: 23:04:12 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 5.4869 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0855 loss: 2.0855 2022/06/29 20:08:34 - mmengine - INFO - Epoch(train) [20][2760/3757] lr: 1.000e-02 eta: 23:04:05 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 6.3269 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8308 loss: 1.8308 2022/06/29 20:08:40 - mmengine - INFO - Epoch(train) [20][2780/3757] lr: 1.000e-02 eta: 23:03:59 time: 0.375 data_time: 0.010 memory: 6404 grad_norm: 5.2040 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8356 loss: 1.8356 2022/06/29 20:08:45 - mmengine - INFO - Epoch(train) [20][2800/3757] lr: 1.000e-02 eta: 23:03:54 time: 0.261 data_time: 0.011 memory: 6404 grad_norm: 6.4558 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7803 loss: 1.7803 2022/06/29 20:08:51 - mmengine - INFO - Epoch(train) [20][2820/3757] lr: 1.000e-02 eta: 23:03:49 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 5.1432 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9060 loss: 1.9060 2022/06/29 20:08:56 - mmengine - INFO - Epoch(train) [20][2840/3757] lr: 1.000e-02 eta: 23:03:43 time: 0.263 data_time: 0.012 memory: 6404 grad_norm: 5.5544 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2938 loss: 2.2938 2022/06/29 20:09:02 - mmengine - INFO - Epoch(train) [20][2860/3757] lr: 1.000e-02 eta: 23:03:37 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 4.7353 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6241 loss: 1.6241 2022/06/29 20:09:07 - mmengine - INFO - Epoch(train) [20][2880/3757] lr: 1.000e-02 eta: 23:03:31 time: 0.451 data_time: 0.007 memory: 6404 grad_norm: 5.4087 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9274 loss: 1.9274 2022/06/29 20:09:13 - mmengine - INFO - Epoch(train) [20][2900/3757] lr: 1.000e-02 eta: 23:03:25 time: 0.395 data_time: 0.010 memory: 6404 grad_norm: 5.5712 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9093 loss: 1.9093 2022/06/29 20:09:18 - mmengine - INFO - Epoch(train) [20][2920/3757] lr: 1.000e-02 eta: 23:03:20 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 5.5121 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9357 loss: 1.9357 2022/06/29 20:09:24 - mmengine - INFO - Epoch(train) [20][2940/3757] lr: 1.000e-02 eta: 23:03:15 time: 0.488 data_time: 0.008 memory: 6404 grad_norm: 6.1214 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9340 loss: 1.9340 2022/06/29 20:09:30 - mmengine - INFO - Epoch(train) [20][2960/3757] lr: 1.000e-02 eta: 23:03:11 time: 0.854 data_time: 0.033 memory: 6404 grad_norm: 5.4492 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9952 loss: 1.9952 2022/06/29 20:09:35 - mmengine - INFO - Epoch(train) [20][2980/3757] lr: 1.000e-02 eta: 23:03:04 time: 0.248 data_time: 0.015 memory: 6404 grad_norm: 5.2261 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0440 loss: 2.0440 2022/06/29 20:09:40 - mmengine - INFO - Epoch(train) [20][3000/3757] lr: 1.000e-02 eta: 23:02:58 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 4.8470 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9438 loss: 1.9438 2022/06/29 20:09:46 - mmengine - INFO - Epoch(train) [20][3020/3757] lr: 1.000e-02 eta: 23:02:53 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 6.0756 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3324 loss: 2.3324 2022/06/29 20:09:51 - mmengine - INFO - Epoch(train) [20][3040/3757] lr: 1.000e-02 eta: 23:02:47 time: 0.246 data_time: 0.035 memory: 6404 grad_norm: 4.5313 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8204 loss: 1.8204 2022/06/29 20:09:57 - mmengine - INFO - Epoch(train) [20][3060/3757] lr: 1.000e-02 eta: 23:02:43 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.0279 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7533 loss: 1.7533 2022/06/29 20:10:03 - mmengine - INFO - Epoch(train) [20][3080/3757] lr: 1.000e-02 eta: 23:02:39 time: 0.372 data_time: 0.007 memory: 6404 grad_norm: 5.7625 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1631 loss: 2.1631 2022/06/29 20:10:09 - mmengine - INFO - Epoch(train) [20][3100/3757] lr: 1.000e-02 eta: 23:02:35 time: 0.258 data_time: 0.070 memory: 6404 grad_norm: 5.1733 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3603 loss: 2.3603 2022/06/29 20:10:14 - mmengine - INFO - Epoch(train) [20][3120/3757] lr: 1.000e-02 eta: 23:02:28 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.3618 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9949 loss: 1.9949 2022/06/29 20:10:20 - mmengine - INFO - Epoch(train) [20][3140/3757] lr: 1.000e-02 eta: 23:02:24 time: 0.265 data_time: 0.055 memory: 6404 grad_norm: 5.1244 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7224 loss: 1.7224 2022/06/29 20:10:25 - mmengine - INFO - Epoch(train) [20][3160/3757] lr: 1.000e-02 eta: 23:02:17 time: 0.244 data_time: 0.019 memory: 6404 grad_norm: 5.7267 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6158 loss: 1.6158 2022/06/29 20:10:31 - mmengine - INFO - Epoch(train) [20][3180/3757] lr: 1.000e-02 eta: 23:02:12 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 4.7641 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1454 loss: 2.1454 2022/06/29 20:10:36 - mmengine - INFO - Epoch(train) [20][3200/3757] lr: 1.000e-02 eta: 23:02:07 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 5.5456 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0369 loss: 2.0369 2022/06/29 20:10:42 - mmengine - INFO - Epoch(train) [20][3220/3757] lr: 1.000e-02 eta: 23:02:01 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 5.5218 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3058 loss: 2.3058 2022/06/29 20:10:47 - mmengine - INFO - Epoch(train) [20][3240/3757] lr: 1.000e-02 eta: 23:01:54 time: 0.240 data_time: 0.006 memory: 6404 grad_norm: 5.6111 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2428 loss: 2.2428 2022/06/29 20:10:52 - mmengine - INFO - Epoch(train) [20][3260/3757] lr: 1.000e-02 eta: 23:01:49 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 5.5583 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9537 loss: 1.9537 2022/06/29 20:10:58 - mmengine - INFO - Epoch(train) [20][3280/3757] lr: 1.000e-02 eta: 23:01:43 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.5056 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9227 loss: 1.9227 2022/06/29 20:11:03 - mmengine - INFO - Epoch(train) [20][3300/3757] lr: 1.000e-02 eta: 23:01:37 time: 0.262 data_time: 0.006 memory: 6404 grad_norm: 5.5309 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0631 loss: 2.0631 2022/06/29 20:11:09 - mmengine - INFO - Epoch(train) [20][3320/3757] lr: 1.000e-02 eta: 23:01:32 time: 0.262 data_time: 0.006 memory: 6404 grad_norm: 5.5017 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.2900 loss: 2.2900 2022/06/29 20:11:14 - mmengine - INFO - Epoch(train) [20][3340/3757] lr: 1.000e-02 eta: 23:01:25 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.2642 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9854 loss: 1.9854 2022/06/29 20:11:20 - mmengine - INFO - Epoch(train) [20][3360/3757] lr: 1.000e-02 eta: 23:01:21 time: 0.277 data_time: 0.006 memory: 6404 grad_norm: 6.2312 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8898 loss: 1.8898 2022/06/29 20:11:25 - mmengine - INFO - Epoch(train) [20][3380/3757] lr: 1.000e-02 eta: 23:01:14 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 5.1180 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6725 loss: 2.6725 2022/06/29 20:11:30 - mmengine - INFO - Epoch(train) [20][3400/3757] lr: 1.000e-02 eta: 23:01:07 time: 0.279 data_time: 0.019 memory: 6404 grad_norm: 5.7022 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9076 loss: 1.9076 2022/06/29 20:11:36 - mmengine - INFO - Epoch(train) [20][3420/3757] lr: 1.000e-02 eta: 23:01:02 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.7046 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8388 loss: 1.8388 2022/06/29 20:11:41 - mmengine - INFO - Epoch(train) [20][3440/3757] lr: 1.000e-02 eta: 23:00:56 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 4.9890 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2143 loss: 2.2143 2022/06/29 20:11:47 - mmengine - INFO - Epoch(train) [20][3460/3757] lr: 1.000e-02 eta: 23:00:50 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 5.2262 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1504 loss: 2.1504 2022/06/29 20:11:52 - mmengine - INFO - Epoch(train) [20][3480/3757] lr: 1.000e-02 eta: 23:00:45 time: 0.270 data_time: 0.007 memory: 6404 grad_norm: 5.8853 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3627 loss: 2.3627 2022/06/29 20:11:58 - mmengine - INFO - Epoch(train) [20][3500/3757] lr: 1.000e-02 eta: 23:00:39 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.6370 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0839 loss: 2.0839 2022/06/29 20:12:04 - mmengine - INFO - Epoch(train) [20][3520/3757] lr: 1.000e-02 eta: 23:00:35 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.0820 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1781 loss: 2.1781 2022/06/29 20:12:10 - mmengine - INFO - Epoch(train) [20][3540/3757] lr: 1.000e-02 eta: 23:00:31 time: 0.313 data_time: 0.008 memory: 6404 grad_norm: 5.6254 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6547 loss: 1.6547 2022/06/29 20:12:15 - mmengine - INFO - Epoch(train) [20][3560/3757] lr: 1.000e-02 eta: 23:00:24 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 5.4798 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7341 loss: 1.7341 2022/06/29 20:12:20 - mmengine - INFO - Epoch(train) [20][3580/3757] lr: 1.000e-02 eta: 23:00:18 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 5.4375 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8253 loss: 1.8253 2022/06/29 20:12:26 - mmengine - INFO - Epoch(train) [20][3600/3757] lr: 1.000e-02 eta: 23:00:13 time: 0.272 data_time: 0.006 memory: 6404 grad_norm: 5.2366 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0985 loss: 2.0985 2022/06/29 20:12:30 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 20:12:31 - mmengine - INFO - Epoch(train) [20][3620/3757] lr: 1.000e-02 eta: 23:00:07 time: 0.242 data_time: 0.013 memory: 6404 grad_norm: 5.7341 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4107 loss: 2.4107 2022/06/29 20:12:36 - mmengine - INFO - Epoch(train) [20][3640/3757] lr: 1.000e-02 eta: 23:00:00 time: 0.250 data_time: 0.058 memory: 6404 grad_norm: 4.7116 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7659 loss: 1.7659 2022/06/29 20:12:41 - mmengine - INFO - Epoch(train) [20][3660/3757] lr: 1.000e-02 eta: 22:59:53 time: 0.302 data_time: 0.007 memory: 6404 grad_norm: 5.3396 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5113 loss: 2.5113 2022/06/29 20:12:47 - mmengine - INFO - Epoch(train) [20][3680/3757] lr: 1.000e-02 eta: 22:59:47 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.7761 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4412 loss: 2.4412 2022/06/29 20:12:53 - mmengine - INFO - Epoch(train) [20][3700/3757] lr: 1.000e-02 eta: 22:59:44 time: 0.243 data_time: 0.017 memory: 6404 grad_norm: 5.7293 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7794 loss: 1.7794 2022/06/29 20:12:58 - mmengine - INFO - Epoch(train) [20][3720/3757] lr: 1.000e-02 eta: 22:59:37 time: 0.264 data_time: 0.018 memory: 6404 grad_norm: 5.4828 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9760 loss: 1.9760 2022/06/29 20:13:03 - mmengine - INFO - Epoch(train) [20][3740/3757] lr: 1.000e-02 eta: 22:59:30 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 5.7540 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7130 loss: 1.7130 2022/06/29 20:13:07 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 20:13:07 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/06/29 20:13:18 - mmengine - INFO - Epoch(val) [20][20/310] eta: 0:01:29 time: 0.076 data_time: 0.005 memory: 6404 2022/06/29 20:13:24 - mmengine - INFO - Epoch(val) [20][40/310] eta: 0:01:17 time: 0.079 data_time: 0.008 memory: 1479 2022/06/29 20:13:28 - mmengine - INFO - Epoch(val) [20][60/310] eta: 0:00:20 time: 0.083 data_time: 0.009 memory: 1479 2022/06/29 20:13:34 - mmengine - INFO - Epoch(val) [20][80/310] eta: 0:01:07 time: 0.079 data_time: 0.006 memory: 1479 2022/06/29 20:13:40 - mmengine - INFO - Epoch(val) [20][100/310] eta: 0:01:02 time: 0.083 data_time: 0.009 memory: 1479 2022/06/29 20:13:44 - mmengine - INFO - Epoch(val) [20][120/310] eta: 0:00:15 time: 0.081 data_time: 0.007 memory: 1479 2022/06/29 20:13:50 - mmengine - INFO - Epoch(val) [20][140/310] eta: 0:00:51 time: 0.079 data_time: 0.005 memory: 1479 2022/06/29 20:13:56 - mmengine - INFO - Epoch(val) [20][160/310] eta: 0:00:50 time: 0.515 data_time: 0.436 memory: 1479 2022/06/29 20:14:01 - mmengine - INFO - Epoch(val) [20][180/310] eta: 0:00:23 time: 0.090 data_time: 0.007 memory: 1479 2022/06/29 20:14:06 - mmengine - INFO - Epoch(val) [20][200/310] eta: 0:00:28 time: 0.076 data_time: 0.005 memory: 1479 2022/06/29 20:14:12 - mmengine - INFO - Epoch(val) [20][220/310] eta: 0:00:27 time: 0.086 data_time: 0.005 memory: 1479 2022/06/29 20:14:16 - mmengine - INFO - Epoch(val) [20][240/310] eta: 0:00:12 time: 0.078 data_time: 0.005 memory: 1479 2022/06/29 20:14:22 - mmengine - INFO - Epoch(val) [20][260/310] eta: 0:00:14 time: 0.082 data_time: 0.005 memory: 1479 2022/06/29 20:14:28 - mmengine - INFO - Epoch(val) [20][280/310] eta: 0:00:07 time: 0.099 data_time: 0.011 memory: 1479 2022/06/29 20:14:29 - mmengine - INFO - Epoch(val) [20][300/310] eta: 0:00:00 time: 0.077 data_time: 0.005 memory: 1479 2022/06/29 20:14:32 - mmengine - INFO - Epoch(val) [20][310/310] acc/top1: 0.5534 acc/top5: 0.7996 acc/mean1: 0.5533 2022/06/29 20:14:41 - mmengine - INFO - Epoch(train) [21][20/3757] lr: 1.000e-02 eta: 22:59:24 time: 0.239 data_time: 0.006 memory: 6404 grad_norm: 5.8341 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5709 loss: 1.5709 2022/06/29 20:14:47 - mmengine - INFO - Epoch(train) [21][40/3757] lr: 1.000e-02 eta: 22:59:20 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.5413 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2684 loss: 2.2684 2022/06/29 20:14:52 - mmengine - INFO - Epoch(train) [21][60/3757] lr: 1.000e-02 eta: 22:59:14 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 5.0514 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3335 loss: 2.3335 2022/06/29 20:14:58 - mmengine - INFO - Epoch(train) [21][80/3757] lr: 1.000e-02 eta: 22:59:10 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 6.1520 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5582 loss: 1.5582 2022/06/29 20:15:04 - mmengine - INFO - Epoch(train) [21][100/3757] lr: 1.000e-02 eta: 22:59:08 time: 0.261 data_time: 0.009 memory: 6404 grad_norm: 5.0788 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7971 loss: 1.7971 2022/06/29 20:15:10 - mmengine - INFO - Epoch(train) [21][120/3757] lr: 1.000e-02 eta: 22:59:01 time: 0.263 data_time: 0.013 memory: 6404 grad_norm: 5.4288 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1696 loss: 2.1696 2022/06/29 20:15:15 - mmengine - INFO - Epoch(train) [21][140/3757] lr: 1.000e-02 eta: 22:58:56 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 5.6607 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0134 loss: 2.0134 2022/06/29 20:15:21 - mmengine - INFO - Epoch(train) [21][160/3757] lr: 1.000e-02 eta: 22:58:53 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 5.3223 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6072 loss: 1.6072 2022/06/29 20:15:27 - mmengine - INFO - Epoch(train) [21][180/3757] lr: 1.000e-02 eta: 22:58:46 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 5.9853 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7483 loss: 1.7483 2022/06/29 20:15:32 - mmengine - INFO - Epoch(train) [21][200/3757] lr: 1.000e-02 eta: 22:58:41 time: 0.239 data_time: 0.007 memory: 6404 grad_norm: 4.9730 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9067 loss: 1.9067 2022/06/29 20:15:37 - mmengine - INFO - Epoch(train) [21][220/3757] lr: 1.000e-02 eta: 22:58:34 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 5.2791 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9279 loss: 1.9279 2022/06/29 20:15:42 - mmengine - INFO - Epoch(train) [21][240/3757] lr: 1.000e-02 eta: 22:58:27 time: 0.264 data_time: 0.009 memory: 6404 grad_norm: 5.6348 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9131 loss: 1.9131 2022/06/29 20:15:47 - mmengine - INFO - Epoch(train) [21][260/3757] lr: 1.000e-02 eta: 22:58:19 time: 0.238 data_time: 0.011 memory: 6404 grad_norm: 6.3568 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1126 loss: 2.1126 2022/06/29 20:15:53 - mmengine - INFO - Epoch(train) [21][280/3757] lr: 1.000e-02 eta: 22:58:13 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.8330 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6674 loss: 1.6674 2022/06/29 20:15:58 - mmengine - INFO - Epoch(train) [21][300/3757] lr: 1.000e-02 eta: 22:58:07 time: 0.247 data_time: 0.014 memory: 6404 grad_norm: 5.7426 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3197 loss: 2.3197 2022/06/29 20:16:04 - mmengine - INFO - Epoch(train) [21][320/3757] lr: 1.000e-02 eta: 22:58:05 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.8683 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8844 loss: 1.8844 2022/06/29 20:16:10 - mmengine - INFO - Epoch(train) [21][340/3757] lr: 1.000e-02 eta: 22:58:00 time: 0.255 data_time: 0.012 memory: 6404 grad_norm: 5.4952 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8977 loss: 1.8977 2022/06/29 20:16:15 - mmengine - INFO - Epoch(train) [21][360/3757] lr: 1.000e-02 eta: 22:57:54 time: 0.253 data_time: 0.025 memory: 6404 grad_norm: 4.6826 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7003 loss: 1.7003 2022/06/29 20:16:21 - mmengine - INFO - Epoch(train) [21][380/3757] lr: 1.000e-02 eta: 22:57:47 time: 0.262 data_time: 0.006 memory: 6404 grad_norm: 5.7662 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0327 loss: 2.0327 2022/06/29 20:16:26 - mmengine - INFO - Epoch(train) [21][400/3757] lr: 1.000e-02 eta: 22:57:42 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 5.8553 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0968 loss: 2.0968 2022/06/29 20:16:32 - mmengine - INFO - Epoch(train) [21][420/3757] lr: 1.000e-02 eta: 22:57:37 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.1543 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0867 loss: 2.0867 2022/06/29 20:16:38 - mmengine - INFO - Epoch(train) [21][440/3757] lr: 1.000e-02 eta: 22:57:33 time: 0.239 data_time: 0.010 memory: 6404 grad_norm: 5.4838 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3915 loss: 2.3915 2022/06/29 20:16:44 - mmengine - INFO - Epoch(train) [21][460/3757] lr: 1.000e-02 eta: 22:57:29 time: 0.281 data_time: 0.011 memory: 6404 grad_norm: 5.5777 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8760 loss: 1.8760 2022/06/29 20:16:49 - mmengine - INFO - Epoch(train) [21][480/3757] lr: 1.000e-02 eta: 22:57:22 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 6.0917 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3975 loss: 2.3975 2022/06/29 20:16:54 - mmengine - INFO - Epoch(train) [21][500/3757] lr: 1.000e-02 eta: 22:57:17 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.1542 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0115 loss: 2.0115 2022/06/29 20:17:00 - mmengine - INFO - Epoch(train) [21][520/3757] lr: 1.000e-02 eta: 22:57:13 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 4.8052 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1505 loss: 2.1505 2022/06/29 20:17:05 - mmengine - INFO - Epoch(train) [21][540/3757] lr: 1.000e-02 eta: 22:57:06 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.4917 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0729 loss: 2.0729 2022/06/29 20:17:11 - mmengine - INFO - Epoch(train) [21][560/3757] lr: 1.000e-02 eta: 22:57:00 time: 0.265 data_time: 0.034 memory: 6404 grad_norm: 5.8178 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8415 loss: 1.8415 2022/06/29 20:17:16 - mmengine - INFO - Epoch(train) [21][580/3757] lr: 1.000e-02 eta: 22:56:54 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 5.5187 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9067 loss: 1.9067 2022/06/29 20:17:21 - mmengine - INFO - Epoch(train) [21][600/3757] lr: 1.000e-02 eta: 22:56:47 time: 0.257 data_time: 0.017 memory: 6404 grad_norm: 4.7696 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0196 loss: 2.0196 2022/06/29 20:17:27 - mmengine - INFO - Epoch(train) [21][620/3757] lr: 1.000e-02 eta: 22:56:41 time: 0.245 data_time: 0.012 memory: 6404 grad_norm: 5.1463 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1079 loss: 2.1079 2022/06/29 20:17:33 - mmengine - INFO - Epoch(train) [21][640/3757] lr: 1.000e-02 eta: 22:56:38 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 6.2850 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0623 loss: 2.0623 2022/06/29 20:17:38 - mmengine - INFO - Epoch(train) [21][660/3757] lr: 1.000e-02 eta: 22:56:31 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.1913 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1896 loss: 2.1896 2022/06/29 20:17:44 - mmengine - INFO - Epoch(train) [21][680/3757] lr: 1.000e-02 eta: 22:56:26 time: 0.250 data_time: 0.021 memory: 6404 grad_norm: 5.6574 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7409 loss: 1.7409 2022/06/29 20:17:49 - mmengine - INFO - Epoch(train) [21][700/3757] lr: 1.000e-02 eta: 22:56:21 time: 0.294 data_time: 0.014 memory: 6404 grad_norm: 5.3549 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1638 loss: 2.1638 2022/06/29 20:17:54 - mmengine - INFO - Epoch(train) [21][720/3757] lr: 1.000e-02 eta: 22:56:14 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 5.5976 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1890 loss: 2.1890 2022/06/29 20:18:00 - mmengine - INFO - Epoch(train) [21][740/3757] lr: 1.000e-02 eta: 22:56:09 time: 0.252 data_time: 0.022 memory: 6404 grad_norm: 5.5490 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6613 loss: 1.6613 2022/06/29 20:18:06 - mmengine - INFO - Epoch(train) [21][760/3757] lr: 1.000e-02 eta: 22:56:04 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 5.5440 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1535 loss: 2.1535 2022/06/29 20:18:11 - mmengine - INFO - Epoch(train) [21][780/3757] lr: 1.000e-02 eta: 22:55:58 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 5.6609 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7139 loss: 1.7139 2022/06/29 20:18:17 - mmengine - INFO - Epoch(train) [21][800/3757] lr: 1.000e-02 eta: 22:55:53 time: 0.255 data_time: 0.018 memory: 6404 grad_norm: 5.8819 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1685 loss: 2.1685 2022/06/29 20:18:22 - mmengine - INFO - Epoch(train) [21][820/3757] lr: 1.000e-02 eta: 22:55:48 time: 0.244 data_time: 0.014 memory: 6404 grad_norm: 5.0679 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8647 loss: 1.8647 2022/06/29 20:18:28 - mmengine - INFO - Epoch(train) [21][840/3757] lr: 1.000e-02 eta: 22:55:41 time: 0.248 data_time: 0.015 memory: 6404 grad_norm: 5.3851 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1205 loss: 2.1205 2022/06/29 20:18:33 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 20:18:33 - mmengine - INFO - Epoch(train) [21][860/3757] lr: 1.000e-02 eta: 22:55:37 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.6398 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0702 loss: 2.0702 2022/06/29 20:18:39 - mmengine - INFO - Epoch(train) [21][880/3757] lr: 1.000e-02 eta: 22:55:32 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 6.1918 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2719 loss: 2.2719 2022/06/29 20:18:44 - mmengine - INFO - Epoch(train) [21][900/3757] lr: 1.000e-02 eta: 22:55:25 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 5.3043 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9000 loss: 1.9000 2022/06/29 20:18:50 - mmengine - INFO - Epoch(train) [21][920/3757] lr: 1.000e-02 eta: 22:55:20 time: 0.331 data_time: 0.009 memory: 6404 grad_norm: 5.4388 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7854 loss: 1.7854 2022/06/29 20:18:55 - mmengine - INFO - Epoch(train) [21][940/3757] lr: 1.000e-02 eta: 22:55:12 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 5.9765 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.3182 loss: 2.3182 2022/06/29 20:19:01 - mmengine - INFO - Epoch(train) [21][960/3757] lr: 1.000e-02 eta: 22:55:10 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.5457 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9232 loss: 1.9232 2022/06/29 20:19:06 - mmengine - INFO - Epoch(train) [21][980/3757] lr: 1.000e-02 eta: 22:55:03 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.3926 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0300 loss: 2.0300 2022/06/29 20:19:12 - mmengine - INFO - Epoch(train) [21][1000/3757] lr: 1.000e-02 eta: 22:54:57 time: 0.293 data_time: 0.010 memory: 6404 grad_norm: 4.4813 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0340 loss: 2.0340 2022/06/29 20:19:17 - mmengine - INFO - Epoch(train) [21][1020/3757] lr: 1.000e-02 eta: 22:54:51 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.4708 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1639 loss: 2.1639 2022/06/29 20:19:23 - mmengine - INFO - Epoch(train) [21][1040/3757] lr: 1.000e-02 eta: 22:54:45 time: 0.281 data_time: 0.008 memory: 6404 grad_norm: 4.9412 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9064 loss: 1.9064 2022/06/29 20:19:28 - mmengine - INFO - Epoch(train) [21][1060/3757] lr: 1.000e-02 eta: 22:54:39 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 5.2377 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5521 loss: 2.5521 2022/06/29 20:19:34 - mmengine - INFO - Epoch(train) [21][1080/3757] lr: 1.000e-02 eta: 22:54:34 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.1262 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7227 loss: 1.7227 2022/06/29 20:19:39 - mmengine - INFO - Epoch(train) [21][1100/3757] lr: 1.000e-02 eta: 22:54:29 time: 0.267 data_time: 0.012 memory: 6404 grad_norm: 5.8800 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1711 loss: 2.1711 2022/06/29 20:19:44 - mmengine - INFO - Epoch(train) [21][1120/3757] lr: 1.000e-02 eta: 22:54:23 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.5957 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8195 loss: 1.8195 2022/06/29 20:19:50 - mmengine - INFO - Epoch(train) [21][1140/3757] lr: 1.000e-02 eta: 22:54:19 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.5263 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6476 loss: 1.6476 2022/06/29 20:19:56 - mmengine - INFO - Epoch(train) [21][1160/3757] lr: 1.000e-02 eta: 22:54:13 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 6.9555 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2436 loss: 2.2436 2022/06/29 20:20:02 - mmengine - INFO - Epoch(train) [21][1180/3757] lr: 1.000e-02 eta: 22:54:08 time: 0.241 data_time: 0.007 memory: 6404 grad_norm: 5.7896 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1569 loss: 2.1569 2022/06/29 20:20:07 - mmengine - INFO - Epoch(train) [21][1200/3757] lr: 1.000e-02 eta: 22:54:03 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 4.6412 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1133 loss: 2.1133 2022/06/29 20:20:13 - mmengine - INFO - Epoch(train) [21][1220/3757] lr: 1.000e-02 eta: 22:53:57 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 5.6849 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0503 loss: 2.0503 2022/06/29 20:20:18 - mmengine - INFO - Epoch(train) [21][1240/3757] lr: 1.000e-02 eta: 22:53:52 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.9785 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9472 loss: 1.9472 2022/06/29 20:20:24 - mmengine - INFO - Epoch(train) [21][1260/3757] lr: 1.000e-02 eta: 22:53:47 time: 0.244 data_time: 0.013 memory: 6404 grad_norm: 5.4952 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0833 loss: 2.0833 2022/06/29 20:20:30 - mmengine - INFO - Epoch(train) [21][1280/3757] lr: 1.000e-02 eta: 22:53:44 time: 0.281 data_time: 0.034 memory: 6404 grad_norm: 5.7216 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0621 loss: 2.0621 2022/06/29 20:20:35 - mmengine - INFO - Epoch(train) [21][1300/3757] lr: 1.000e-02 eta: 22:53:36 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 6.7027 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9946 loss: 1.9946 2022/06/29 20:20:40 - mmengine - INFO - Epoch(train) [21][1320/3757] lr: 1.000e-02 eta: 22:53:29 time: 0.266 data_time: 0.023 memory: 6404 grad_norm: 6.4279 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8324 loss: 1.8324 2022/06/29 20:20:45 - mmengine - INFO - Epoch(train) [21][1340/3757] lr: 1.000e-02 eta: 22:53:22 time: 0.250 data_time: 0.023 memory: 6404 grad_norm: 4.5534 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5093 loss: 2.5093 2022/06/29 20:20:51 - mmengine - INFO - Epoch(train) [21][1360/3757] lr: 1.000e-02 eta: 22:53:16 time: 0.241 data_time: 0.010 memory: 6404 grad_norm: 4.9544 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8208 loss: 1.8208 2022/06/29 20:20:56 - mmengine - INFO - Epoch(train) [21][1380/3757] lr: 1.000e-02 eta: 22:53:09 time: 0.253 data_time: 0.016 memory: 6404 grad_norm: 5.5181 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9983 loss: 1.9983 2022/06/29 20:21:02 - mmengine - INFO - Epoch(train) [21][1400/3757] lr: 1.000e-02 eta: 22:53:05 time: 0.514 data_time: 0.010 memory: 6404 grad_norm: 4.8921 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1088 loss: 2.1088 2022/06/29 20:21:07 - mmengine - INFO - Epoch(train) [21][1420/3757] lr: 1.000e-02 eta: 22:53:00 time: 0.263 data_time: 0.008 memory: 6404 grad_norm: 5.5345 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6993 loss: 1.6993 2022/06/29 20:21:12 - mmengine - INFO - Epoch(train) [21][1440/3757] lr: 1.000e-02 eta: 22:52:54 time: 0.242 data_time: 0.017 memory: 6404 grad_norm: 5.1189 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8522 loss: 1.8522 2022/06/29 20:21:18 - mmengine - INFO - Epoch(train) [21][1460/3757] lr: 1.000e-02 eta: 22:52:49 time: 0.485 data_time: 0.024 memory: 6404 grad_norm: 5.4522 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6555 loss: 1.6555 2022/06/29 20:21:24 - mmengine - INFO - Epoch(train) [21][1480/3757] lr: 1.000e-02 eta: 22:52:43 time: 0.297 data_time: 0.009 memory: 6404 grad_norm: 5.9867 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.1276 loss: 2.1276 2022/06/29 20:21:29 - mmengine - INFO - Epoch(train) [21][1500/3757] lr: 1.000e-02 eta: 22:52:38 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.0652 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0048 loss: 2.0048 2022/06/29 20:21:35 - mmengine - INFO - Epoch(train) [21][1520/3757] lr: 1.000e-02 eta: 22:52:33 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 5.1513 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9118 loss: 1.9118 2022/06/29 20:21:41 - mmengine - INFO - Epoch(train) [21][1540/3757] lr: 1.000e-02 eta: 22:52:30 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.5714 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2931 loss: 2.2931 2022/06/29 20:21:47 - mmengine - INFO - Epoch(train) [21][1560/3757] lr: 1.000e-02 eta: 22:52:25 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 5.5350 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9683 loss: 1.9683 2022/06/29 20:21:52 - mmengine - INFO - Epoch(train) [21][1580/3757] lr: 1.000e-02 eta: 22:52:19 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 5.8960 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8022 loss: 2.8022 2022/06/29 20:21:57 - mmengine - INFO - Epoch(train) [21][1600/3757] lr: 1.000e-02 eta: 22:52:12 time: 0.345 data_time: 0.007 memory: 6404 grad_norm: 5.3574 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1161 loss: 2.1161 2022/06/29 20:22:03 - mmengine - INFO - Epoch(train) [21][1620/3757] lr: 1.000e-02 eta: 22:52:07 time: 0.241 data_time: 0.007 memory: 6404 grad_norm: 5.5858 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2225 loss: 2.2225 2022/06/29 20:22:09 - mmengine - INFO - Epoch(train) [21][1640/3757] lr: 1.000e-02 eta: 22:52:03 time: 0.248 data_time: 0.017 memory: 6404 grad_norm: 5.2809 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9345 loss: 1.9345 2022/06/29 20:22:14 - mmengine - INFO - Epoch(train) [21][1660/3757] lr: 1.000e-02 eta: 22:51:58 time: 0.512 data_time: 0.010 memory: 6404 grad_norm: 5.3477 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9855 loss: 1.9855 2022/06/29 20:22:19 - mmengine - INFO - Epoch(train) [21][1680/3757] lr: 1.000e-02 eta: 22:51:50 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.4373 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8169 loss: 1.8169 2022/06/29 20:22:25 - mmengine - INFO - Epoch(train) [21][1700/3757] lr: 1.000e-02 eta: 22:51:44 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.3303 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5726 loss: 1.5726 2022/06/29 20:22:31 - mmengine - INFO - Epoch(train) [21][1720/3757] lr: 1.000e-02 eta: 22:51:40 time: 0.288 data_time: 0.008 memory: 6404 grad_norm: 6.0351 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0334 loss: 2.0334 2022/06/29 20:22:36 - mmengine - INFO - Epoch(train) [21][1740/3757] lr: 1.000e-02 eta: 22:51:33 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.7669 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1576 loss: 2.1576 2022/06/29 20:22:41 - mmengine - INFO - Epoch(train) [21][1760/3757] lr: 1.000e-02 eta: 22:51:27 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.3175 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2768 loss: 2.2768 2022/06/29 20:22:47 - mmengine - INFO - Epoch(train) [21][1780/3757] lr: 1.000e-02 eta: 22:51:22 time: 0.278 data_time: 0.007 memory: 6404 grad_norm: 5.8528 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2522 loss: 2.2522 2022/06/29 20:22:52 - mmengine - INFO - Epoch(train) [21][1800/3757] lr: 1.000e-02 eta: 22:51:16 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.9416 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2462 loss: 2.2462 2022/06/29 20:22:58 - mmengine - INFO - Epoch(train) [21][1820/3757] lr: 1.000e-02 eta: 22:51:10 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 6.0033 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8758 loss: 1.8758 2022/06/29 20:23:04 - mmengine - INFO - Epoch(train) [21][1840/3757] lr: 1.000e-02 eta: 22:51:06 time: 0.662 data_time: 0.006 memory: 6404 grad_norm: 5.7189 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9891 loss: 1.9891 2022/06/29 20:23:09 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 20:23:09 - mmengine - INFO - Epoch(train) [21][1860/3757] lr: 1.000e-02 eta: 22:51:01 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.3599 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8890 loss: 1.8890 2022/06/29 20:23:15 - mmengine - INFO - Epoch(train) [21][1880/3757] lr: 1.000e-02 eta: 22:50:57 time: 0.238 data_time: 0.008 memory: 6404 grad_norm: 6.6032 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0606 loss: 2.0606 2022/06/29 20:23:20 - mmengine - INFO - Epoch(train) [21][1900/3757] lr: 1.000e-02 eta: 22:50:51 time: 0.308 data_time: 0.063 memory: 6404 grad_norm: 5.4716 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6088 loss: 1.6088 2022/06/29 20:23:25 - mmengine - INFO - Epoch(train) [21][1920/3757] lr: 1.000e-02 eta: 22:50:44 time: 0.242 data_time: 0.010 memory: 6404 grad_norm: 5.9203 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8457 loss: 1.8457 2022/06/29 20:23:31 - mmengine - INFO - Epoch(train) [21][1940/3757] lr: 1.000e-02 eta: 22:50:40 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 5.3008 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8072 loss: 1.8072 2022/06/29 20:23:36 - mmengine - INFO - Epoch(train) [21][1960/3757] lr: 1.000e-02 eta: 22:50:33 time: 0.284 data_time: 0.007 memory: 6404 grad_norm: 5.7806 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7405 loss: 1.7405 2022/06/29 20:23:42 - mmengine - INFO - Epoch(train) [21][1980/3757] lr: 1.000e-02 eta: 22:50:29 time: 0.249 data_time: 0.017 memory: 6404 grad_norm: 5.7742 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8689 loss: 1.8689 2022/06/29 20:23:48 - mmengine - INFO - Epoch(train) [21][2000/3757] lr: 1.000e-02 eta: 22:50:24 time: 0.241 data_time: 0.032 memory: 6404 grad_norm: 5.4371 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1369 loss: 2.1369 2022/06/29 20:23:53 - mmengine - INFO - Epoch(train) [21][2020/3757] lr: 1.000e-02 eta: 22:50:18 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 5.0286 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3824 loss: 2.3824 2022/06/29 20:23:59 - mmengine - INFO - Epoch(train) [21][2040/3757] lr: 1.000e-02 eta: 22:50:11 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 5.2852 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5939 loss: 1.5939 2022/06/29 20:24:04 - mmengine - INFO - Epoch(train) [21][2060/3757] lr: 1.000e-02 eta: 22:50:05 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 5.7750 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9197 loss: 1.9197 2022/06/29 20:24:09 - mmengine - INFO - Epoch(train) [21][2080/3757] lr: 1.000e-02 eta: 22:49:59 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.7432 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0155 loss: 2.0155 2022/06/29 20:24:15 - mmengine - INFO - Epoch(train) [21][2100/3757] lr: 1.000e-02 eta: 22:49:54 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.6084 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1930 loss: 2.1930 2022/06/29 20:24:21 - mmengine - INFO - Epoch(train) [21][2120/3757] lr: 1.000e-02 eta: 22:49:50 time: 0.269 data_time: 0.008 memory: 6404 grad_norm: 5.4763 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3682 loss: 2.3682 2022/06/29 20:24:26 - mmengine - INFO - Epoch(train) [21][2140/3757] lr: 1.000e-02 eta: 22:49:43 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 5.5293 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9012 loss: 1.9012 2022/06/29 20:24:32 - mmengine - INFO - Epoch(train) [21][2160/3757] lr: 1.000e-02 eta: 22:49:39 time: 0.283 data_time: 0.009 memory: 6404 grad_norm: 5.0628 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7583 loss: 1.7583 2022/06/29 20:24:38 - mmengine - INFO - Epoch(train) [21][2180/3757] lr: 1.000e-02 eta: 22:49:34 time: 0.273 data_time: 0.011 memory: 6404 grad_norm: 5.4715 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7936 loss: 1.7936 2022/06/29 20:24:43 - mmengine - INFO - Epoch(train) [21][2200/3757] lr: 1.000e-02 eta: 22:49:27 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 6.1236 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7974 loss: 1.7974 2022/06/29 20:24:48 - mmengine - INFO - Epoch(train) [21][2220/3757] lr: 1.000e-02 eta: 22:49:21 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 5.0177 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3691 loss: 2.3691 2022/06/29 20:24:53 - mmengine - INFO - Epoch(train) [21][2240/3757] lr: 1.000e-02 eta: 22:49:14 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 5.8732 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9851 loss: 1.9851 2022/06/29 20:24:58 - mmengine - INFO - Epoch(train) [21][2260/3757] lr: 1.000e-02 eta: 22:49:07 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 5.5802 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0415 loss: 2.0415 2022/06/29 20:25:04 - mmengine - INFO - Epoch(train) [21][2280/3757] lr: 1.000e-02 eta: 22:49:03 time: 0.403 data_time: 0.009 memory: 6404 grad_norm: 5.7937 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8123 loss: 1.8123 2022/06/29 20:25:10 - mmengine - INFO - Epoch(train) [21][2300/3757] lr: 1.000e-02 eta: 22:48:58 time: 0.247 data_time: 0.014 memory: 6404 grad_norm: 5.5874 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2722 loss: 2.2722 2022/06/29 20:25:15 - mmengine - INFO - Epoch(train) [21][2320/3757] lr: 1.000e-02 eta: 22:48:51 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 5.5275 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3256 loss: 2.3256 2022/06/29 20:25:21 - mmengine - INFO - Epoch(train) [21][2340/3757] lr: 1.000e-02 eta: 22:48:46 time: 0.742 data_time: 0.008 memory: 6404 grad_norm: 5.3341 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3109 loss: 2.3109 2022/06/29 20:25:26 - mmengine - INFO - Epoch(train) [21][2360/3757] lr: 1.000e-02 eta: 22:48:41 time: 0.258 data_time: 0.031 memory: 6404 grad_norm: 4.9877 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6445 loss: 1.6445 2022/06/29 20:25:32 - mmengine - INFO - Epoch(train) [21][2380/3757] lr: 1.000e-02 eta: 22:48:35 time: 0.237 data_time: 0.012 memory: 6404 grad_norm: 5.6686 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3376 loss: 2.3376 2022/06/29 20:25:37 - mmengine - INFO - Epoch(train) [21][2400/3757] lr: 1.000e-02 eta: 22:48:30 time: 0.643 data_time: 0.011 memory: 6404 grad_norm: 5.5819 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0955 loss: 2.0955 2022/06/29 20:25:43 - mmengine - INFO - Epoch(train) [21][2420/3757] lr: 1.000e-02 eta: 22:48:24 time: 0.241 data_time: 0.020 memory: 6404 grad_norm: 5.7351 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5823 loss: 1.5823 2022/06/29 20:25:48 - mmengine - INFO - Epoch(train) [21][2440/3757] lr: 1.000e-02 eta: 22:48:19 time: 0.265 data_time: 0.075 memory: 6404 grad_norm: 5.2839 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0854 loss: 2.0854 2022/06/29 20:25:54 - mmengine - INFO - Epoch(train) [21][2460/3757] lr: 1.000e-02 eta: 22:48:15 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.7522 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0378 loss: 2.0378 2022/06/29 20:26:00 - mmengine - INFO - Epoch(train) [21][2480/3757] lr: 1.000e-02 eta: 22:48:10 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 5.1377 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2804 loss: 2.2804 2022/06/29 20:26:06 - mmengine - INFO - Epoch(train) [21][2500/3757] lr: 1.000e-02 eta: 22:48:06 time: 0.247 data_time: 0.013 memory: 6404 grad_norm: 5.7899 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1440 loss: 2.1440 2022/06/29 20:26:11 - mmengine - INFO - Epoch(train) [21][2520/3757] lr: 1.000e-02 eta: 22:48:01 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 5.6005 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8938 loss: 1.8938 2022/06/29 20:26:16 - mmengine - INFO - Epoch(train) [21][2540/3757] lr: 1.000e-02 eta: 22:47:54 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.6766 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1887 loss: 2.1887 2022/06/29 20:26:22 - mmengine - INFO - Epoch(train) [21][2560/3757] lr: 1.000e-02 eta: 22:47:47 time: 0.254 data_time: 0.017 memory: 6404 grad_norm: 5.6522 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2012 loss: 2.2012 2022/06/29 20:26:27 - mmengine - INFO - Epoch(train) [21][2580/3757] lr: 1.000e-02 eta: 22:47:40 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.5550 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1027 loss: 2.1027 2022/06/29 20:26:33 - mmengine - INFO - Epoch(train) [21][2600/3757] lr: 1.000e-02 eta: 22:47:37 time: 0.248 data_time: 0.016 memory: 6404 grad_norm: 6.0369 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8988 loss: 1.8988 2022/06/29 20:26:39 - mmengine - INFO - Epoch(train) [21][2620/3757] lr: 1.000e-02 eta: 22:47:32 time: 0.282 data_time: 0.086 memory: 6404 grad_norm: 5.4822 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8010 loss: 1.8010 2022/06/29 20:26:44 - mmengine - INFO - Epoch(train) [21][2640/3757] lr: 1.000e-02 eta: 22:47:27 time: 0.264 data_time: 0.014 memory: 6404 grad_norm: 5.1375 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2231 loss: 2.2231 2022/06/29 20:26:50 - mmengine - INFO - Epoch(train) [21][2660/3757] lr: 1.000e-02 eta: 22:47:21 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 5.0479 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7377 loss: 1.7377 2022/06/29 20:26:55 - mmengine - INFO - Epoch(train) [21][2680/3757] lr: 1.000e-02 eta: 22:47:15 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 6.7772 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.1067 loss: 2.1067 2022/06/29 20:27:00 - mmengine - INFO - Epoch(train) [21][2700/3757] lr: 1.000e-02 eta: 22:47:08 time: 0.256 data_time: 0.015 memory: 6404 grad_norm: 5.0287 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8376 loss: 1.8376 2022/06/29 20:27:05 - mmengine - INFO - Epoch(train) [21][2720/3757] lr: 1.000e-02 eta: 22:47:01 time: 0.247 data_time: 0.015 memory: 6404 grad_norm: 5.0073 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7403 loss: 1.7403 2022/06/29 20:27:11 - mmengine - INFO - Epoch(train) [21][2740/3757] lr: 1.000e-02 eta: 22:46:55 time: 0.323 data_time: 0.011 memory: 6404 grad_norm: 5.4772 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7201 loss: 1.7201 2022/06/29 20:27:16 - mmengine - INFO - Epoch(train) [21][2760/3757] lr: 1.000e-02 eta: 22:46:48 time: 0.258 data_time: 0.021 memory: 6404 grad_norm: 5.4999 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5002 loss: 2.5002 2022/06/29 20:27:21 - mmengine - INFO - Epoch(train) [21][2780/3757] lr: 1.000e-02 eta: 22:46:42 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.5556 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1440 loss: 2.1440 2022/06/29 20:27:27 - mmengine - INFO - Epoch(train) [21][2800/3757] lr: 1.000e-02 eta: 22:46:36 time: 0.272 data_time: 0.020 memory: 6404 grad_norm: 5.7367 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9102 loss: 1.9102 2022/06/29 20:27:32 - mmengine - INFO - Epoch(train) [21][2820/3757] lr: 1.000e-02 eta: 22:46:31 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.4233 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9275 loss: 1.9275 2022/06/29 20:27:38 - mmengine - INFO - Epoch(train) [21][2840/3757] lr: 1.000e-02 eta: 22:46:25 time: 0.265 data_time: 0.009 memory: 6404 grad_norm: 6.0289 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0959 loss: 2.0959 2022/06/29 20:27:44 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 20:27:44 - mmengine - INFO - Epoch(train) [21][2860/3757] lr: 1.000e-02 eta: 22:46:21 time: 0.261 data_time: 0.013 memory: 6404 grad_norm: 5.7759 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.8889 loss: 1.8889 2022/06/29 20:27:49 - mmengine - INFO - Epoch(train) [21][2880/3757] lr: 1.000e-02 eta: 22:46:14 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 6.4055 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7566 loss: 1.7566 2022/06/29 20:27:55 - mmengine - INFO - Epoch(train) [21][2900/3757] lr: 1.000e-02 eta: 22:46:10 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 5.1401 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0128 loss: 2.0128 2022/06/29 20:28:00 - mmengine - INFO - Epoch(train) [21][2920/3757] lr: 1.000e-02 eta: 22:46:05 time: 0.250 data_time: 0.046 memory: 6404 grad_norm: 5.5415 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9733 loss: 1.9733 2022/06/29 20:28:06 - mmengine - INFO - Epoch(train) [21][2940/3757] lr: 1.000e-02 eta: 22:45:59 time: 0.267 data_time: 0.010 memory: 6404 grad_norm: 5.2673 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6981 loss: 1.6981 2022/06/29 20:28:13 - mmengine - INFO - Epoch(train) [21][2960/3757] lr: 1.000e-02 eta: 22:46:00 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.4398 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3660 loss: 2.3660 2022/06/29 20:28:18 - mmengine - INFO - Epoch(train) [21][2980/3757] lr: 1.000e-02 eta: 22:45:53 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.7556 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7236 loss: 1.7236 2022/06/29 20:28:23 - mmengine - INFO - Epoch(train) [21][3000/3757] lr: 1.000e-02 eta: 22:45:46 time: 0.280 data_time: 0.013 memory: 6404 grad_norm: 5.1439 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0313 loss: 2.0313 2022/06/29 20:28:28 - mmengine - INFO - Epoch(train) [21][3020/3757] lr: 1.000e-02 eta: 22:45:39 time: 0.258 data_time: 0.017 memory: 6404 grad_norm: 4.8800 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8627 loss: 1.8627 2022/06/29 20:28:34 - mmengine - INFO - Epoch(train) [21][3040/3757] lr: 1.000e-02 eta: 22:45:34 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 5.4462 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9574 loss: 1.9574 2022/06/29 20:28:39 - mmengine - INFO - Epoch(train) [21][3060/3757] lr: 1.000e-02 eta: 22:45:27 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 5.8694 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8244 loss: 1.8244 2022/06/29 20:28:44 - mmengine - INFO - Epoch(train) [21][3080/3757] lr: 1.000e-02 eta: 22:45:19 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 6.0838 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9429 loss: 1.9429 2022/06/29 20:28:49 - mmengine - INFO - Epoch(train) [21][3100/3757] lr: 1.000e-02 eta: 22:45:12 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.9496 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3729 loss: 2.3729 2022/06/29 20:28:54 - mmengine - INFO - Epoch(train) [21][3120/3757] lr: 1.000e-02 eta: 22:45:06 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 4.7480 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1750 loss: 2.1750 2022/06/29 20:28:59 - mmengine - INFO - Epoch(train) [21][3140/3757] lr: 1.000e-02 eta: 22:44:59 time: 0.281 data_time: 0.014 memory: 6404 grad_norm: 5.7478 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.2555 loss: 2.2555 2022/06/29 20:29:05 - mmengine - INFO - Epoch(train) [21][3160/3757] lr: 1.000e-02 eta: 22:44:54 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 5.3198 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2310 loss: 2.2310 2022/06/29 20:29:10 - mmengine - INFO - Epoch(train) [21][3180/3757] lr: 1.000e-02 eta: 22:44:47 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 4.7736 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9776 loss: 1.9776 2022/06/29 20:29:16 - mmengine - INFO - Epoch(train) [21][3200/3757] lr: 1.000e-02 eta: 22:44:42 time: 0.250 data_time: 0.019 memory: 6404 grad_norm: 6.1500 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9022 loss: 2.9022 2022/06/29 20:29:21 - mmengine - INFO - Epoch(train) [21][3220/3757] lr: 1.000e-02 eta: 22:44:35 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 4.9113 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2075 loss: 2.2075 2022/06/29 20:29:27 - mmengine - INFO - Epoch(train) [21][3240/3757] lr: 1.000e-02 eta: 22:44:30 time: 0.245 data_time: 0.009 memory: 6404 grad_norm: 6.0449 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2802 loss: 2.2802 2022/06/29 20:29:33 - mmengine - INFO - Epoch(train) [21][3260/3757] lr: 1.000e-02 eta: 22:44:27 time: 0.246 data_time: 0.023 memory: 6404 grad_norm: 5.7113 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9133 loss: 1.9133 2022/06/29 20:29:38 - mmengine - INFO - Epoch(train) [21][3280/3757] lr: 1.000e-02 eta: 22:44:20 time: 0.387 data_time: 0.009 memory: 6404 grad_norm: 5.5434 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2773 loss: 2.2773 2022/06/29 20:29:43 - mmengine - INFO - Epoch(train) [21][3300/3757] lr: 1.000e-02 eta: 22:44:14 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.8999 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0733 loss: 2.0733 2022/06/29 20:29:49 - mmengine - INFO - Epoch(train) [21][3320/3757] lr: 1.000e-02 eta: 22:44:09 time: 0.241 data_time: 0.021 memory: 6404 grad_norm: 5.6943 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1917 loss: 2.1917 2022/06/29 20:29:55 - mmengine - INFO - Epoch(train) [21][3340/3757] lr: 1.000e-02 eta: 22:44:04 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 5.9274 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2213 loss: 2.2213 2022/06/29 20:30:00 - mmengine - INFO - Epoch(train) [21][3360/3757] lr: 1.000e-02 eta: 22:43:58 time: 0.245 data_time: 0.018 memory: 6404 grad_norm: 5.9100 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0148 loss: 2.0148 2022/06/29 20:30:06 - mmengine - INFO - Epoch(train) [21][3380/3757] lr: 1.000e-02 eta: 22:43:55 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.6244 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9694 loss: 1.9694 2022/06/29 20:30:12 - mmengine - INFO - Epoch(train) [21][3400/3757] lr: 1.000e-02 eta: 22:43:50 time: 0.310 data_time: 0.008 memory: 6404 grad_norm: 5.7571 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7112 loss: 1.7112 2022/06/29 20:30:17 - mmengine - INFO - Epoch(train) [21][3420/3757] lr: 1.000e-02 eta: 22:43:43 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 4.9129 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2633 loss: 2.2633 2022/06/29 20:30:22 - mmengine - INFO - Epoch(train) [21][3440/3757] lr: 1.000e-02 eta: 22:43:36 time: 0.244 data_time: 0.009 memory: 6404 grad_norm: 6.0832 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1254 loss: 2.1254 2022/06/29 20:30:28 - mmengine - INFO - Epoch(train) [21][3460/3757] lr: 1.000e-02 eta: 22:43:31 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 4.6976 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6787 loss: 1.6787 2022/06/29 20:30:34 - mmengine - INFO - Epoch(train) [21][3480/3757] lr: 1.000e-02 eta: 22:43:27 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 5.6309 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9095 loss: 1.9095 2022/06/29 20:30:39 - mmengine - INFO - Epoch(train) [21][3500/3757] lr: 1.000e-02 eta: 22:43:20 time: 0.250 data_time: 0.014 memory: 6404 grad_norm: 5.7253 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2024 loss: 2.2024 2022/06/29 20:30:44 - mmengine - INFO - Epoch(train) [21][3520/3757] lr: 1.000e-02 eta: 22:43:14 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 4.4986 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6897 loss: 1.6897 2022/06/29 20:30:50 - mmengine - INFO - Epoch(train) [21][3540/3757] lr: 1.000e-02 eta: 22:43:09 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 5.4798 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0061 loss: 2.0061 2022/06/29 20:30:56 - mmengine - INFO - Epoch(train) [21][3560/3757] lr: 1.000e-02 eta: 22:43:05 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.3387 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9291 loss: 1.9291 2022/06/29 20:31:01 - mmengine - INFO - Epoch(train) [21][3580/3757] lr: 1.000e-02 eta: 22:42:58 time: 0.272 data_time: 0.015 memory: 6404 grad_norm: 6.0367 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8844 loss: 1.8844 2022/06/29 20:31:06 - mmengine - INFO - Epoch(train) [21][3600/3757] lr: 1.000e-02 eta: 22:42:51 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 5.8368 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1032 loss: 2.1032 2022/06/29 20:31:11 - mmengine - INFO - Epoch(train) [21][3620/3757] lr: 1.000e-02 eta: 22:42:45 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 4.7647 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9017 loss: 1.9017 2022/06/29 20:31:17 - mmengine - INFO - Epoch(train) [21][3640/3757] lr: 1.000e-02 eta: 22:42:40 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 6.2892 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0788 loss: 2.0788 2022/06/29 20:31:22 - mmengine - INFO - Epoch(train) [21][3660/3757] lr: 1.000e-02 eta: 22:42:34 time: 0.254 data_time: 0.023 memory: 6404 grad_norm: 6.2566 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9218 loss: 1.9218 2022/06/29 20:31:28 - mmengine - INFO - Epoch(train) [21][3680/3757] lr: 1.000e-02 eta: 22:42:28 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 5.2016 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0386 loss: 2.0386 2022/06/29 20:31:33 - mmengine - INFO - Epoch(train) [21][3700/3757] lr: 1.000e-02 eta: 22:42:22 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 6.2421 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8393 loss: 1.8393 2022/06/29 20:31:38 - mmengine - INFO - Epoch(train) [21][3720/3757] lr: 1.000e-02 eta: 22:42:15 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 5.7758 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1413 loss: 2.1413 2022/06/29 20:31:44 - mmengine - INFO - Epoch(train) [21][3740/3757] lr: 1.000e-02 eta: 22:42:09 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 6.3207 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6922 loss: 1.6922 2022/06/29 20:31:48 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 20:31:55 - mmengine - INFO - Epoch(val) [21][20/310] eta: 0:01:34 time: 0.107 data_time: 0.015 memory: 6404 2022/06/29 20:32:01 - mmengine - INFO - Epoch(val) [21][40/310] eta: 0:01:20 time: 0.140 data_time: 0.055 memory: 1479 2022/06/29 20:32:04 - mmengine - INFO - Epoch(val) [21][60/310] eta: 0:00:22 time: 0.095 data_time: 0.007 memory: 1479 2022/06/29 20:32:11 - mmengine - INFO - Epoch(val) [21][80/310] eta: 0:01:13 time: 0.157 data_time: 0.009 memory: 1479 2022/06/29 20:32:16 - mmengine - INFO - Epoch(val) [21][100/310] eta: 0:01:03 time: 0.567 data_time: 0.490 memory: 1479 2022/06/29 20:32:20 - mmengine - INFO - Epoch(val) [21][120/310] eta: 0:00:26 time: 0.093 data_time: 0.009 memory: 1479 2022/06/29 20:32:27 - mmengine - INFO - Epoch(val) [21][140/310] eta: 0:00:51 time: 0.094 data_time: 0.010 memory: 1479 2022/06/29 20:32:33 - mmengine - INFO - Epoch(val) [21][160/310] eta: 0:00:47 time: 1.344 data_time: 1.269 memory: 1479 2022/06/29 20:32:37 - mmengine - INFO - Epoch(val) [21][180/310] eta: 0:00:33 time: 0.080 data_time: 0.005 memory: 1479 2022/06/29 20:32:43 - mmengine - INFO - Epoch(val) [21][200/310] eta: 0:00:35 time: 0.087 data_time: 0.009 memory: 1479 2022/06/29 20:32:49 - mmengine - INFO - Epoch(val) [21][220/310] eta: 0:00:26 time: 0.656 data_time: 0.563 memory: 1479 2022/06/29 20:32:53 - mmengine - INFO - Epoch(val) [21][240/310] eta: 0:00:19 time: 0.080 data_time: 0.006 memory: 1479 2022/06/29 20:32:58 - mmengine - INFO - Epoch(val) [21][260/310] eta: 0:00:15 time: 0.093 data_time: 0.006 memory: 1479 2022/06/29 20:33:04 - mmengine - INFO - Epoch(val) [21][280/310] eta: 0:00:08 time: 0.429 data_time: 0.336 memory: 1479 2022/06/29 20:33:08 - mmengine - INFO - Epoch(val) [21][300/310] eta: 0:00:02 time: 0.092 data_time: 0.008 memory: 1479 2022/06/29 20:33:11 - mmengine - INFO - Epoch(val) [21][310/310] acc/top1: 0.5514 acc/top5: 0.7953 acc/mean1: 0.5513 2022/06/29 20:33:20 - mmengine - INFO - Epoch(train) [22][20/3757] lr: 1.000e-02 eta: 22:42:03 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.9501 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2456 loss: 1.2456 2022/06/29 20:33:25 - mmengine - INFO - Epoch(train) [22][40/3757] lr: 1.000e-02 eta: 22:41:58 time: 0.299 data_time: 0.010 memory: 6404 grad_norm: 5.4888 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2049 loss: 2.2049 2022/06/29 20:33:30 - mmengine - INFO - Epoch(train) [22][60/3757] lr: 1.000e-02 eta: 22:41:51 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.3006 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9741 loss: 1.9741 2022/06/29 20:33:36 - mmengine - INFO - Epoch(train) [22][80/3757] lr: 1.000e-02 eta: 22:41:47 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.2595 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.9509 loss: 1.9509 2022/06/29 20:33:42 - mmengine - INFO - Epoch(train) [22][100/3757] lr: 1.000e-02 eta: 22:41:41 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 5.7471 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9982 loss: 1.9982 2022/06/29 20:33:42 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 20:33:47 - mmengine - INFO - Epoch(train) [22][120/3757] lr: 1.000e-02 eta: 22:41:34 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.0528 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3891 loss: 2.3891 2022/06/29 20:33:53 - mmengine - INFO - Epoch(train) [22][140/3757] lr: 1.000e-02 eta: 22:41:30 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.2720 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0826 loss: 2.0826 2022/06/29 20:33:58 - mmengine - INFO - Epoch(train) [22][160/3757] lr: 1.000e-02 eta: 22:41:24 time: 0.261 data_time: 0.034 memory: 6404 grad_norm: 5.1096 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9563 loss: 1.9563 2022/06/29 20:34:03 - mmengine - INFO - Epoch(train) [22][180/3757] lr: 1.000e-02 eta: 22:41:18 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 5.0579 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0901 loss: 2.0901 2022/06/29 20:34:10 - mmengine - INFO - Epoch(train) [22][200/3757] lr: 1.000e-02 eta: 22:41:16 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.0664 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8813 loss: 1.8813 2022/06/29 20:34:15 - mmengine - INFO - Epoch(train) [22][220/3757] lr: 1.000e-02 eta: 22:41:10 time: 0.265 data_time: 0.009 memory: 6404 grad_norm: 5.8088 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9464 loss: 1.9464 2022/06/29 20:34:21 - mmengine - INFO - Epoch(train) [22][240/3757] lr: 1.000e-02 eta: 22:41:04 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 6.3660 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7333 loss: 1.7333 2022/06/29 20:34:26 - mmengine - INFO - Epoch(train) [22][260/3757] lr: 1.000e-02 eta: 22:41:00 time: 0.235 data_time: 0.021 memory: 6404 grad_norm: 6.0863 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0031 loss: 2.0031 2022/06/29 20:34:32 - mmengine - INFO - Epoch(train) [22][280/3757] lr: 1.000e-02 eta: 22:40:54 time: 0.243 data_time: 0.016 memory: 6404 grad_norm: 4.6950 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0968 loss: 2.0968 2022/06/29 20:34:37 - mmengine - INFO - Epoch(train) [22][300/3757] lr: 1.000e-02 eta: 22:40:48 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.9195 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8717 loss: 1.8717 2022/06/29 20:34:43 - mmengine - INFO - Epoch(train) [22][320/3757] lr: 1.000e-02 eta: 22:40:43 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.4412 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7927 loss: 1.7927 2022/06/29 20:34:49 - mmengine - INFO - Epoch(train) [22][340/3757] lr: 1.000e-02 eta: 22:40:38 time: 0.251 data_time: 0.028 memory: 6404 grad_norm: 6.0738 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5857 loss: 1.5857 2022/06/29 20:34:54 - mmengine - INFO - Epoch(train) [22][360/3757] lr: 1.000e-02 eta: 22:40:33 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 6.4249 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9520 loss: 1.9520 2022/06/29 20:35:00 - mmengine - INFO - Epoch(train) [22][380/3757] lr: 1.000e-02 eta: 22:40:28 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.1847 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9002 loss: 1.9002 2022/06/29 20:35:05 - mmengine - INFO - Epoch(train) [22][400/3757] lr: 1.000e-02 eta: 22:40:21 time: 0.285 data_time: 0.019 memory: 6404 grad_norm: 6.1756 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9787 loss: 1.9787 2022/06/29 20:35:10 - mmengine - INFO - Epoch(train) [22][420/3757] lr: 1.000e-02 eta: 22:40:14 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 4.7740 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9615 loss: 1.9615 2022/06/29 20:35:15 - mmengine - INFO - Epoch(train) [22][440/3757] lr: 1.000e-02 eta: 22:40:07 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.1382 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9460 loss: 1.9460 2022/06/29 20:35:22 - mmengine - INFO - Epoch(train) [22][460/3757] lr: 1.000e-02 eta: 22:40:05 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.4763 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2141 loss: 2.2141 2022/06/29 20:35:27 - mmengine - INFO - Epoch(train) [22][480/3757] lr: 1.000e-02 eta: 22:39:58 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.0632 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7637 loss: 1.7637 2022/06/29 20:35:33 - mmengine - INFO - Epoch(train) [22][500/3757] lr: 1.000e-02 eta: 22:39:57 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.3585 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4064 loss: 2.4064 2022/06/29 20:35:38 - mmengine - INFO - Epoch(train) [22][520/3757] lr: 1.000e-02 eta: 22:39:50 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 5.3569 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8894 loss: 1.8894 2022/06/29 20:35:44 - mmengine - INFO - Epoch(train) [22][540/3757] lr: 1.000e-02 eta: 22:39:42 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 5.9116 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8706 loss: 1.8706 2022/06/29 20:35:49 - mmengine - INFO - Epoch(train) [22][560/3757] lr: 1.000e-02 eta: 22:39:36 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.3383 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9808 loss: 1.9808 2022/06/29 20:35:54 - mmengine - INFO - Epoch(train) [22][580/3757] lr: 1.000e-02 eta: 22:39:29 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 5.4455 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7282 loss: 1.7282 2022/06/29 20:35:59 - mmengine - INFO - Epoch(train) [22][600/3757] lr: 1.000e-02 eta: 22:39:22 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 5.2386 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1756 loss: 2.1756 2022/06/29 20:36:05 - mmengine - INFO - Epoch(train) [22][620/3757] lr: 1.000e-02 eta: 22:39:17 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.4940 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1848 loss: 2.1848 2022/06/29 20:36:11 - mmengine - INFO - Epoch(train) [22][640/3757] lr: 1.000e-02 eta: 22:39:13 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 6.0876 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6382 loss: 1.6382 2022/06/29 20:36:16 - mmengine - INFO - Epoch(train) [22][660/3757] lr: 1.000e-02 eta: 22:39:06 time: 0.251 data_time: 0.015 memory: 6404 grad_norm: 5.0795 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3214 loss: 2.3214 2022/06/29 20:36:22 - mmengine - INFO - Epoch(train) [22][680/3757] lr: 1.000e-02 eta: 22:39:02 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 5.1456 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3957 loss: 2.3957 2022/06/29 20:36:27 - mmengine - INFO - Epoch(train) [22][700/3757] lr: 1.000e-02 eta: 22:38:56 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 5.0980 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9455 loss: 1.9455 2022/06/29 20:36:32 - mmengine - INFO - Epoch(train) [22][720/3757] lr: 1.000e-02 eta: 22:38:50 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 4.9580 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0672 loss: 2.0672 2022/06/29 20:36:38 - mmengine - INFO - Epoch(train) [22][740/3757] lr: 1.000e-02 eta: 22:38:44 time: 0.245 data_time: 0.009 memory: 6404 grad_norm: 5.7815 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9016 loss: 1.9016 2022/06/29 20:36:44 - mmengine - INFO - Epoch(train) [22][760/3757] lr: 1.000e-02 eta: 22:38:39 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.1569 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8754 loss: 1.8754 2022/06/29 20:36:49 - mmengine - INFO - Epoch(train) [22][780/3757] lr: 1.000e-02 eta: 22:38:33 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.2447 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1709 loss: 2.1709 2022/06/29 20:36:54 - mmengine - INFO - Epoch(train) [22][800/3757] lr: 1.000e-02 eta: 22:38:27 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.9262 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2482 loss: 2.2482 2022/06/29 20:37:00 - mmengine - INFO - Epoch(train) [22][820/3757] lr: 1.000e-02 eta: 22:38:24 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 6.0145 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1125 loss: 2.1125 2022/06/29 20:37:06 - mmengine - INFO - Epoch(train) [22][840/3757] lr: 1.000e-02 eta: 22:38:18 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.7384 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.5002 loss: 2.5002 2022/06/29 20:37:11 - mmengine - INFO - Epoch(train) [22][860/3757] lr: 1.000e-02 eta: 22:38:11 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 4.6056 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9262 loss: 1.9262 2022/06/29 20:37:16 - mmengine - INFO - Epoch(train) [22][880/3757] lr: 1.000e-02 eta: 22:38:05 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 4.6113 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0935 loss: 2.0935 2022/06/29 20:37:22 - mmengine - INFO - Epoch(train) [22][900/3757] lr: 1.000e-02 eta: 22:38:01 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.5416 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0703 loss: 2.0703 2022/06/29 20:37:27 - mmengine - INFO - Epoch(train) [22][920/3757] lr: 1.000e-02 eta: 22:37:55 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 6.2198 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3022 loss: 2.3022 2022/06/29 20:37:33 - mmengine - INFO - Epoch(train) [22][940/3757] lr: 1.000e-02 eta: 22:37:49 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.4536 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0130 loss: 2.0130 2022/06/29 20:37:39 - mmengine - INFO - Epoch(train) [22][960/3757] lr: 1.000e-02 eta: 22:37:44 time: 0.239 data_time: 0.007 memory: 6404 grad_norm: 5.5934 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4870 loss: 2.4870 2022/06/29 20:37:45 - mmengine - INFO - Epoch(train) [22][980/3757] lr: 1.000e-02 eta: 22:37:40 time: 0.243 data_time: 0.016 memory: 6404 grad_norm: 6.4375 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5932 loss: 1.5932 2022/06/29 20:37:50 - mmengine - INFO - Epoch(train) [22][1000/3757] lr: 1.000e-02 eta: 22:37:35 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 5.6932 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9320 loss: 1.9320 2022/06/29 20:37:55 - mmengine - INFO - Epoch(train) [22][1020/3757] lr: 1.000e-02 eta: 22:37:28 time: 0.246 data_time: 0.012 memory: 6404 grad_norm: 5.6472 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0836 loss: 2.0836 2022/06/29 20:38:01 - mmengine - INFO - Epoch(train) [22][1040/3757] lr: 1.000e-02 eta: 22:37:22 time: 0.241 data_time: 0.008 memory: 6404 grad_norm: 6.0778 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1532 loss: 2.1532 2022/06/29 20:38:06 - mmengine - INFO - Epoch(train) [22][1060/3757] lr: 1.000e-02 eta: 22:37:16 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 6.5545 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3869 loss: 2.3869 2022/06/29 20:38:12 - mmengine - INFO - Epoch(train) [22][1080/3757] lr: 1.000e-02 eta: 22:37:12 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 5.8747 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2922 loss: 2.2922 2022/06/29 20:38:18 - mmengine - INFO - Epoch(train) [22][1100/3757] lr: 1.000e-02 eta: 22:37:07 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.3948 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5641 loss: 1.5641 2022/06/29 20:38:18 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 20:38:23 - mmengine - INFO - Epoch(train) [22][1120/3757] lr: 1.000e-02 eta: 22:37:02 time: 0.245 data_time: 0.012 memory: 6404 grad_norm: 5.6477 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0575 loss: 2.0575 2022/06/29 20:38:28 - mmengine - INFO - Epoch(train) [22][1140/3757] lr: 1.000e-02 eta: 22:36:55 time: 0.269 data_time: 0.016 memory: 6404 grad_norm: 5.5390 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2576 loss: 2.2576 2022/06/29 20:38:34 - mmengine - INFO - Epoch(train) [22][1160/3757] lr: 1.000e-02 eta: 22:36:50 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.6693 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8554 loss: 1.8554 2022/06/29 20:38:39 - mmengine - INFO - Epoch(train) [22][1180/3757] lr: 1.000e-02 eta: 22:36:43 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 6.0930 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8779 loss: 1.8779 2022/06/29 20:38:44 - mmengine - INFO - Epoch(train) [22][1200/3757] lr: 1.000e-02 eta: 22:36:36 time: 0.251 data_time: 0.015 memory: 6404 grad_norm: 5.4065 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3676 loss: 2.3676 2022/06/29 20:38:50 - mmengine - INFO - Epoch(train) [22][1220/3757] lr: 1.000e-02 eta: 22:36:30 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 6.0108 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8520 loss: 1.8520 2022/06/29 20:38:55 - mmengine - INFO - Epoch(train) [22][1240/3757] lr: 1.000e-02 eta: 22:36:24 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 5.2589 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6636 loss: 1.6636 2022/06/29 20:39:01 - mmengine - INFO - Epoch(train) [22][1260/3757] lr: 1.000e-02 eta: 22:36:22 time: 0.244 data_time: 0.014 memory: 6404 grad_norm: 5.9369 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5456 loss: 2.5456 2022/06/29 20:39:07 - mmengine - INFO - Epoch(train) [22][1280/3757] lr: 1.000e-02 eta: 22:36:16 time: 0.240 data_time: 0.007 memory: 6404 grad_norm: 5.6227 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8343 loss: 1.8343 2022/06/29 20:39:12 - mmengine - INFO - Epoch(train) [22][1300/3757] lr: 1.000e-02 eta: 22:36:09 time: 0.258 data_time: 0.023 memory: 6404 grad_norm: 6.3379 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9443 loss: 1.9443 2022/06/29 20:39:17 - mmengine - INFO - Epoch(train) [22][1320/3757] lr: 1.000e-02 eta: 22:36:01 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.3549 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9410 loss: 1.9410 2022/06/29 20:39:23 - mmengine - INFO - Epoch(train) [22][1340/3757] lr: 1.000e-02 eta: 22:35:57 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.0021 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7944 loss: 1.7944 2022/06/29 20:39:28 - mmengine - INFO - Epoch(train) [22][1360/3757] lr: 1.000e-02 eta: 22:35:50 time: 0.247 data_time: 0.024 memory: 6404 grad_norm: 5.8030 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0506 loss: 2.0506 2022/06/29 20:39:33 - mmengine - INFO - Epoch(train) [22][1380/3757] lr: 1.000e-02 eta: 22:35:44 time: 0.242 data_time: 0.011 memory: 6404 grad_norm: 5.7483 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2827 loss: 2.2827 2022/06/29 20:39:39 - mmengine - INFO - Epoch(train) [22][1400/3757] lr: 1.000e-02 eta: 22:35:38 time: 0.255 data_time: 0.017 memory: 6404 grad_norm: 6.0577 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7790 loss: 1.7790 2022/06/29 20:39:44 - mmengine - INFO - Epoch(train) [22][1420/3757] lr: 1.000e-02 eta: 22:35:32 time: 0.248 data_time: 0.025 memory: 6404 grad_norm: 5.6800 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1494 loss: 2.1494 2022/06/29 20:39:50 - mmengine - INFO - Epoch(train) [22][1440/3757] lr: 1.000e-02 eta: 22:35:28 time: 0.263 data_time: 0.008 memory: 6404 grad_norm: 4.9542 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7525 loss: 1.7525 2022/06/29 20:39:55 - mmengine - INFO - Epoch(train) [22][1460/3757] lr: 1.000e-02 eta: 22:35:22 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.3107 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.0503 loss: 2.0503 2022/06/29 20:40:01 - mmengine - INFO - Epoch(train) [22][1480/3757] lr: 1.000e-02 eta: 22:35:16 time: 0.253 data_time: 0.045 memory: 6404 grad_norm: 5.2951 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6628 loss: 1.6628 2022/06/29 20:40:07 - mmengine - INFO - Epoch(train) [22][1500/3757] lr: 1.000e-02 eta: 22:35:13 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 5.4820 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1978 loss: 2.1978 2022/06/29 20:40:12 - mmengine - INFO - Epoch(train) [22][1520/3757] lr: 1.000e-02 eta: 22:35:07 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 6.0903 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0423 loss: 2.0423 2022/06/29 20:40:18 - mmengine - INFO - Epoch(train) [22][1540/3757] lr: 1.000e-02 eta: 22:35:02 time: 0.258 data_time: 0.017 memory: 6404 grad_norm: 6.3629 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4650 loss: 2.4650 2022/06/29 20:40:24 - mmengine - INFO - Epoch(train) [22][1560/3757] lr: 1.000e-02 eta: 22:34:57 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.4931 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7428 loss: 1.7428 2022/06/29 20:40:29 - mmengine - INFO - Epoch(train) [22][1580/3757] lr: 1.000e-02 eta: 22:34:50 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.5114 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1243 loss: 2.1243 2022/06/29 20:40:34 - mmengine - INFO - Epoch(train) [22][1600/3757] lr: 1.000e-02 eta: 22:34:44 time: 0.247 data_time: 0.025 memory: 6404 grad_norm: 6.1736 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8331 loss: 1.8331 2022/06/29 20:40:39 - mmengine - INFO - Epoch(train) [22][1620/3757] lr: 1.000e-02 eta: 22:34:38 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 5.4529 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7702 loss: 1.7702 2022/06/29 20:40:46 - mmengine - INFO - Epoch(train) [22][1640/3757] lr: 1.000e-02 eta: 22:34:35 time: 0.266 data_time: 0.013 memory: 6404 grad_norm: 5.7006 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1208 loss: 2.1208 2022/06/29 20:40:51 - mmengine - INFO - Epoch(train) [22][1660/3757] lr: 1.000e-02 eta: 22:34:29 time: 0.248 data_time: 0.017 memory: 6404 grad_norm: 5.2066 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9147 loss: 1.9147 2022/06/29 20:40:56 - mmengine - INFO - Epoch(train) [22][1680/3757] lr: 1.000e-02 eta: 22:34:22 time: 0.243 data_time: 0.012 memory: 6404 grad_norm: 4.5405 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2589 loss: 2.2589 2022/06/29 20:41:02 - mmengine - INFO - Epoch(train) [22][1700/3757] lr: 1.000e-02 eta: 22:34:17 time: 0.379 data_time: 0.013 memory: 6404 grad_norm: 5.5077 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8987 loss: 1.8987 2022/06/29 20:41:07 - mmengine - INFO - Epoch(train) [22][1720/3757] lr: 1.000e-02 eta: 22:34:12 time: 0.270 data_time: 0.087 memory: 6404 grad_norm: 5.9618 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9088 loss: 1.9088 2022/06/29 20:41:12 - mmengine - INFO - Epoch(train) [22][1740/3757] lr: 1.000e-02 eta: 22:34:05 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.7864 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6938 loss: 1.6938 2022/06/29 20:41:18 - mmengine - INFO - Epoch(train) [22][1760/3757] lr: 1.000e-02 eta: 22:33:59 time: 0.240 data_time: 0.010 memory: 6404 grad_norm: 5.4486 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8194 loss: 1.8194 2022/06/29 20:41:23 - mmengine - INFO - Epoch(train) [22][1780/3757] lr: 1.000e-02 eta: 22:33:53 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.5922 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2099 loss: 2.2099 2022/06/29 20:41:28 - mmengine - INFO - Epoch(train) [22][1800/3757] lr: 1.000e-02 eta: 22:33:46 time: 0.258 data_time: 0.013 memory: 6404 grad_norm: 5.7006 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9037 loss: 1.9037 2022/06/29 20:41:33 - mmengine - INFO - Epoch(train) [22][1820/3757] lr: 1.000e-02 eta: 22:33:39 time: 0.251 data_time: 0.015 memory: 6404 grad_norm: 6.1500 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9323 loss: 1.9323 2022/06/29 20:41:39 - mmengine - INFO - Epoch(train) [22][1840/3757] lr: 1.000e-02 eta: 22:33:34 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 5.6516 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7660 loss: 1.7660 2022/06/29 20:41:45 - mmengine - INFO - Epoch(train) [22][1860/3757] lr: 1.000e-02 eta: 22:33:29 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 5.5401 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2710 loss: 2.2710 2022/06/29 20:41:50 - mmengine - INFO - Epoch(train) [22][1880/3757] lr: 1.000e-02 eta: 22:33:24 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.2550 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9312 loss: 1.9312 2022/06/29 20:41:56 - mmengine - INFO - Epoch(train) [22][1900/3757] lr: 1.000e-02 eta: 22:33:18 time: 0.253 data_time: 0.017 memory: 6404 grad_norm: 6.1900 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2438 loss: 2.2438 2022/06/29 20:42:01 - mmengine - INFO - Epoch(train) [22][1920/3757] lr: 1.000e-02 eta: 22:33:12 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 5.2168 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9549 loss: 1.9549 2022/06/29 20:42:06 - mmengine - INFO - Epoch(train) [22][1940/3757] lr: 1.000e-02 eta: 22:33:05 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.1813 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.7754 loss: 1.7754 2022/06/29 20:42:12 - mmengine - INFO - Epoch(train) [22][1960/3757] lr: 1.000e-02 eta: 22:33:00 time: 0.256 data_time: 0.025 memory: 6404 grad_norm: 6.1823 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9273 loss: 1.9273 2022/06/29 20:42:17 - mmengine - INFO - Epoch(train) [22][1980/3757] lr: 1.000e-02 eta: 22:32:54 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 5.8926 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0122 loss: 2.0122 2022/06/29 20:42:23 - mmengine - INFO - Epoch(train) [22][2000/3757] lr: 1.000e-02 eta: 22:32:51 time: 0.276 data_time: 0.006 memory: 6404 grad_norm: 5.4491 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8467 loss: 1.8467 2022/06/29 20:42:28 - mmengine - INFO - Epoch(train) [22][2020/3757] lr: 1.000e-02 eta: 22:32:43 time: 0.252 data_time: 0.049 memory: 6404 grad_norm: 4.8659 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1311 loss: 2.1311 2022/06/29 20:42:34 - mmengine - INFO - Epoch(train) [22][2040/3757] lr: 1.000e-02 eta: 22:32:38 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 5.7832 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0652 loss: 2.0652 2022/06/29 20:42:39 - mmengine - INFO - Epoch(train) [22][2060/3757] lr: 1.000e-02 eta: 22:32:32 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 6.5571 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1393 loss: 2.1393 2022/06/29 20:42:46 - mmengine - INFO - Epoch(train) [22][2080/3757] lr: 1.000e-02 eta: 22:32:31 time: 0.277 data_time: 0.088 memory: 6404 grad_norm: 5.7313 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2373 loss: 2.2373 2022/06/29 20:42:51 - mmengine - INFO - Epoch(train) [22][2100/3757] lr: 1.000e-02 eta: 22:32:25 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.9780 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0233 loss: 2.0233 2022/06/29 20:42:52 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 20:42:56 - mmengine - INFO - Epoch(train) [22][2120/3757] lr: 1.000e-02 eta: 22:32:18 time: 0.250 data_time: 0.005 memory: 6404 grad_norm: 5.1552 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9469 loss: 1.9469 2022/06/29 20:43:02 - mmengine - INFO - Epoch(train) [22][2140/3757] lr: 1.000e-02 eta: 22:32:11 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 5.5899 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0734 loss: 2.0734 2022/06/29 20:43:07 - mmengine - INFO - Epoch(train) [22][2160/3757] lr: 1.000e-02 eta: 22:32:04 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 6.5917 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7919 loss: 1.7919 2022/06/29 20:43:12 - mmengine - INFO - Epoch(train) [22][2180/3757] lr: 1.000e-02 eta: 22:31:57 time: 0.249 data_time: 0.014 memory: 6404 grad_norm: 5.9523 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4215 loss: 2.4215 2022/06/29 20:43:17 - mmengine - INFO - Epoch(train) [22][2200/3757] lr: 1.000e-02 eta: 22:31:50 time: 0.240 data_time: 0.011 memory: 6404 grad_norm: 5.9489 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7024 loss: 1.7024 2022/06/29 20:43:22 - mmengine - INFO - Epoch(train) [22][2220/3757] lr: 1.000e-02 eta: 22:31:43 time: 0.470 data_time: 0.012 memory: 6404 grad_norm: 6.3013 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8188 loss: 1.8188 2022/06/29 20:43:27 - mmengine - INFO - Epoch(train) [22][2240/3757] lr: 1.000e-02 eta: 22:31:37 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.9308 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7633 loss: 1.7633 2022/06/29 20:43:33 - mmengine - INFO - Epoch(train) [22][2260/3757] lr: 1.000e-02 eta: 22:31:31 time: 0.243 data_time: 0.006 memory: 6404 grad_norm: 5.8306 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5437 loss: 2.5437 2022/06/29 20:43:39 - mmengine - INFO - Epoch(train) [22][2280/3757] lr: 1.000e-02 eta: 22:31:28 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 4.9720 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8411 loss: 1.8411 2022/06/29 20:43:44 - mmengine - INFO - Epoch(train) [22][2300/3757] lr: 1.000e-02 eta: 22:31:22 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 5.4510 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0657 loss: 2.0657 2022/06/29 20:43:50 - mmengine - INFO - Epoch(train) [22][2320/3757] lr: 1.000e-02 eta: 22:31:17 time: 0.762 data_time: 0.012 memory: 6404 grad_norm: 4.5607 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6893 loss: 1.6893 2022/06/29 20:43:56 - mmengine - INFO - Epoch(train) [22][2340/3757] lr: 1.000e-02 eta: 22:31:11 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.7478 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1907 loss: 2.1907 2022/06/29 20:44:01 - mmengine - INFO - Epoch(train) [22][2360/3757] lr: 1.000e-02 eta: 22:31:07 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.1892 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8024 loss: 1.8024 2022/06/29 20:44:07 - mmengine - INFO - Epoch(train) [22][2380/3757] lr: 1.000e-02 eta: 22:31:02 time: 0.328 data_time: 0.011 memory: 6404 grad_norm: 5.5381 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9160 loss: 1.9160 2022/06/29 20:44:12 - mmengine - INFO - Epoch(train) [22][2400/3757] lr: 1.000e-02 eta: 22:30:55 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 4.8867 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8639 loss: 1.8639 2022/06/29 20:44:18 - mmengine - INFO - Epoch(train) [22][2420/3757] lr: 1.000e-02 eta: 22:30:50 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.1236 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7817 loss: 1.7817 2022/06/29 20:44:23 - mmengine - INFO - Epoch(train) [22][2440/3757] lr: 1.000e-02 eta: 22:30:45 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 5.7048 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9199 loss: 1.9199 2022/06/29 20:44:29 - mmengine - INFO - Epoch(train) [22][2460/3757] lr: 1.000e-02 eta: 22:30:38 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 6.4117 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9581 loss: 1.9581 2022/06/29 20:44:34 - mmengine - INFO - Epoch(train) [22][2480/3757] lr: 1.000e-02 eta: 22:30:33 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.2910 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5312 loss: 2.5312 2022/06/29 20:44:40 - mmengine - INFO - Epoch(train) [22][2500/3757] lr: 1.000e-02 eta: 22:30:29 time: 0.423 data_time: 0.064 memory: 6404 grad_norm: 5.4166 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8401 loss: 1.8401 2022/06/29 20:44:46 - mmengine - INFO - Epoch(train) [22][2520/3757] lr: 1.000e-02 eta: 22:30:23 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 6.2826 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9801 loss: 1.9801 2022/06/29 20:44:51 - mmengine - INFO - Epoch(train) [22][2540/3757] lr: 1.000e-02 eta: 22:30:17 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 5.5630 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3847 loss: 2.3847 2022/06/29 20:44:57 - mmengine - INFO - Epoch(train) [22][2560/3757] lr: 1.000e-02 eta: 22:30:13 time: 0.303 data_time: 0.018 memory: 6404 grad_norm: 5.4762 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9887 loss: 1.9887 2022/06/29 20:45:03 - mmengine - INFO - Epoch(train) [22][2580/3757] lr: 1.000e-02 eta: 22:30:09 time: 0.701 data_time: 0.007 memory: 6404 grad_norm: 6.5498 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7855 loss: 1.7855 2022/06/29 20:45:08 - mmengine - INFO - Epoch(train) [22][2600/3757] lr: 1.000e-02 eta: 22:30:02 time: 0.285 data_time: 0.009 memory: 6404 grad_norm: 5.7967 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0245 loss: 2.0245 2022/06/29 20:45:13 - mmengine - INFO - Epoch(train) [22][2620/3757] lr: 1.000e-02 eta: 22:29:55 time: 0.271 data_time: 0.006 memory: 6404 grad_norm: 5.8426 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9133 loss: 1.9133 2022/06/29 20:45:18 - mmengine - INFO - Epoch(train) [22][2640/3757] lr: 1.000e-02 eta: 22:29:48 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 5.3416 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8752 loss: 1.8752 2022/06/29 20:45:24 - mmengine - INFO - Epoch(train) [22][2660/3757] lr: 1.000e-02 eta: 22:29:42 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 4.9747 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6978 loss: 1.6978 2022/06/29 20:45:29 - mmengine - INFO - Epoch(train) [22][2680/3757] lr: 1.000e-02 eta: 22:29:36 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.0262 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9839 loss: 1.9839 2022/06/29 20:45:34 - mmengine - INFO - Epoch(train) [22][2700/3757] lr: 1.000e-02 eta: 22:29:31 time: 0.246 data_time: 0.023 memory: 6404 grad_norm: 5.5659 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9982 loss: 1.9982 2022/06/29 20:45:40 - mmengine - INFO - Epoch(train) [22][2720/3757] lr: 1.000e-02 eta: 22:29:26 time: 0.252 data_time: 0.015 memory: 6404 grad_norm: 5.1886 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8767 loss: 1.8767 2022/06/29 20:45:46 - mmengine - INFO - Epoch(train) [22][2740/3757] lr: 1.000e-02 eta: 22:29:21 time: 0.262 data_time: 0.013 memory: 6404 grad_norm: 5.4163 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0810 loss: 2.0810 2022/06/29 20:45:52 - mmengine - INFO - Epoch(train) [22][2760/3757] lr: 1.000e-02 eta: 22:29:18 time: 0.251 data_time: 0.015 memory: 6404 grad_norm: 5.4618 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1407 loss: 2.1407 2022/06/29 20:45:57 - mmengine - INFO - Epoch(train) [22][2780/3757] lr: 1.000e-02 eta: 22:29:11 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 5.6030 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1868 loss: 2.1868 2022/06/29 20:46:03 - mmengine - INFO - Epoch(train) [22][2800/3757] lr: 1.000e-02 eta: 22:29:08 time: 0.298 data_time: 0.009 memory: 6404 grad_norm: 5.7834 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6845 loss: 1.6845 2022/06/29 20:46:08 - mmengine - INFO - Epoch(train) [22][2820/3757] lr: 1.000e-02 eta: 22:29:01 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 5.4712 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7221 loss: 1.7221 2022/06/29 20:46:14 - mmengine - INFO - Epoch(train) [22][2840/3757] lr: 1.000e-02 eta: 22:28:54 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.2987 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5141 loss: 2.5141 2022/06/29 20:46:19 - mmengine - INFO - Epoch(train) [22][2860/3757] lr: 1.000e-02 eta: 22:28:48 time: 0.253 data_time: 0.020 memory: 6404 grad_norm: 5.2054 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9873 loss: 1.9873 2022/06/29 20:46:25 - mmengine - INFO - Epoch(train) [22][2880/3757] lr: 1.000e-02 eta: 22:28:44 time: 0.308 data_time: 0.018 memory: 6404 grad_norm: 5.4981 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5941 loss: 1.5941 2022/06/29 20:46:30 - mmengine - INFO - Epoch(train) [22][2900/3757] lr: 1.000e-02 eta: 22:28:39 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.6587 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9823 loss: 1.9823 2022/06/29 20:46:36 - mmengine - INFO - Epoch(train) [22][2920/3757] lr: 1.000e-02 eta: 22:28:33 time: 0.246 data_time: 0.013 memory: 6404 grad_norm: 5.2691 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6885 loss: 1.6885 2022/06/29 20:46:41 - mmengine - INFO - Epoch(train) [22][2940/3757] lr: 1.000e-02 eta: 22:28:26 time: 0.260 data_time: 0.006 memory: 6404 grad_norm: 6.2416 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0379 loss: 2.0379 2022/06/29 20:46:47 - mmengine - INFO - Epoch(train) [22][2960/3757] lr: 1.000e-02 eta: 22:28:21 time: 0.238 data_time: 0.013 memory: 6404 grad_norm: 5.7097 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2197 loss: 2.2197 2022/06/29 20:46:52 - mmengine - INFO - Epoch(train) [22][2980/3757] lr: 1.000e-02 eta: 22:28:14 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.9128 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4050 loss: 2.4050 2022/06/29 20:46:57 - mmengine - INFO - Epoch(train) [22][3000/3757] lr: 1.000e-02 eta: 22:28:07 time: 0.244 data_time: 0.015 memory: 6404 grad_norm: 6.1601 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2009 loss: 2.2009 2022/06/29 20:47:02 - mmengine - INFO - Epoch(train) [22][3020/3757] lr: 1.000e-02 eta: 22:28:00 time: 0.247 data_time: 0.014 memory: 6404 grad_norm: 5.7610 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9108 loss: 1.9108 2022/06/29 20:47:07 - mmengine - INFO - Epoch(train) [22][3040/3757] lr: 1.000e-02 eta: 22:27:53 time: 0.251 data_time: 0.014 memory: 6404 grad_norm: 5.3536 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6885 loss: 1.6885 2022/06/29 20:47:12 - mmengine - INFO - Epoch(train) [22][3060/3757] lr: 1.000e-02 eta: 22:27:46 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.0603 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7968 loss: 1.7968 2022/06/29 20:47:17 - mmengine - INFO - Epoch(train) [22][3080/3757] lr: 1.000e-02 eta: 22:27:40 time: 0.301 data_time: 0.108 memory: 6404 grad_norm: 3.9900 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8487 loss: 1.8487 2022/06/29 20:47:23 - mmengine - INFO - Epoch(train) [22][3100/3757] lr: 1.000e-02 eta: 22:27:36 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 6.5141 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1406 loss: 2.1406 2022/06/29 20:47:24 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 20:47:29 - mmengine - INFO - Epoch(train) [22][3120/3757] lr: 1.000e-02 eta: 22:27:31 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 6.0295 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5214 loss: 2.5214 2022/06/29 20:47:34 - mmengine - INFO - Epoch(train) [22][3140/3757] lr: 1.000e-02 eta: 22:27:25 time: 0.261 data_time: 0.071 memory: 6404 grad_norm: 5.6976 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8054 loss: 1.8054 2022/06/29 20:47:40 - mmengine - INFO - Epoch(train) [22][3160/3757] lr: 1.000e-02 eta: 22:27:19 time: 0.338 data_time: 0.009 memory: 6404 grad_norm: 6.2284 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4459 loss: 2.4459 2022/06/29 20:47:45 - mmengine - INFO - Epoch(train) [22][3180/3757] lr: 1.000e-02 eta: 22:27:13 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.5462 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7271 loss: 1.7271 2022/06/29 20:47:50 - mmengine - INFO - Epoch(train) [22][3200/3757] lr: 1.000e-02 eta: 22:27:07 time: 0.282 data_time: 0.064 memory: 6404 grad_norm: 6.2366 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2277 loss: 2.2277 2022/06/29 20:47:56 - mmengine - INFO - Epoch(train) [22][3220/3757] lr: 1.000e-02 eta: 22:27:01 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 6.4148 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3372 loss: 2.3372 2022/06/29 20:48:01 - mmengine - INFO - Epoch(train) [22][3240/3757] lr: 1.000e-02 eta: 22:26:55 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 5.3260 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2454 loss: 2.2454 2022/06/29 20:48:07 - mmengine - INFO - Epoch(train) [22][3260/3757] lr: 1.000e-02 eta: 22:26:52 time: 0.244 data_time: 0.026 memory: 6404 grad_norm: 5.9018 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1633 loss: 2.1633 2022/06/29 20:48:13 - mmengine - INFO - Epoch(train) [22][3280/3757] lr: 1.000e-02 eta: 22:26:47 time: 0.457 data_time: 0.010 memory: 6404 grad_norm: 5.5535 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7271 loss: 1.7271 2022/06/29 20:48:18 - mmengine - INFO - Epoch(train) [22][3300/3757] lr: 1.000e-02 eta: 22:26:41 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 5.3916 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0794 loss: 2.0794 2022/06/29 20:48:24 - mmengine - INFO - Epoch(train) [22][3320/3757] lr: 1.000e-02 eta: 22:26:36 time: 0.252 data_time: 0.023 memory: 6404 grad_norm: 4.6123 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0341 loss: 2.0341 2022/06/29 20:48:29 - mmengine - INFO - Epoch(train) [22][3340/3757] lr: 1.000e-02 eta: 22:26:29 time: 0.265 data_time: 0.010 memory: 6404 grad_norm: 4.6083 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.3241 loss: 2.3241 2022/06/29 20:48:34 - mmengine - INFO - Epoch(train) [22][3360/3757] lr: 1.000e-02 eta: 22:26:22 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 4.4237 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9446 loss: 1.9446 2022/06/29 20:48:39 - mmengine - INFO - Epoch(train) [22][3380/3757] lr: 1.000e-02 eta: 22:26:15 time: 0.285 data_time: 0.093 memory: 6404 grad_norm: 5.8807 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1196 loss: 2.1196 2022/06/29 20:48:45 - mmengine - INFO - Epoch(train) [22][3400/3757] lr: 1.000e-02 eta: 22:26:10 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 5.2824 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9454 loss: 1.9454 2022/06/29 20:48:51 - mmengine - INFO - Epoch(train) [22][3420/3757] lr: 1.000e-02 eta: 22:26:05 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 6.2547 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1694 loss: 2.1694 2022/06/29 20:48:56 - mmengine - INFO - Epoch(train) [22][3440/3757] lr: 1.000e-02 eta: 22:26:00 time: 0.248 data_time: 0.047 memory: 6404 grad_norm: 6.3876 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1677 loss: 2.1677 2022/06/29 20:49:02 - mmengine - INFO - Epoch(train) [22][3460/3757] lr: 1.000e-02 eta: 22:25:57 time: 0.428 data_time: 0.007 memory: 6404 grad_norm: 6.5317 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0032 loss: 2.0032 2022/06/29 20:49:08 - mmengine - INFO - Epoch(train) [22][3480/3757] lr: 1.000e-02 eta: 22:25:50 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 4.9090 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1310 loss: 2.1310 2022/06/29 20:49:13 - mmengine - INFO - Epoch(train) [22][3500/3757] lr: 1.000e-02 eta: 22:25:44 time: 0.247 data_time: 0.017 memory: 6404 grad_norm: 5.8867 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8584 loss: 1.8584 2022/06/29 20:49:19 - mmengine - INFO - Epoch(train) [22][3520/3757] lr: 1.000e-02 eta: 22:25:39 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 5.9640 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1749 loss: 2.1749 2022/06/29 20:49:25 - mmengine - INFO - Epoch(train) [22][3540/3757] lr: 1.000e-02 eta: 22:25:35 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 5.8420 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5721 loss: 1.5721 2022/06/29 20:49:30 - mmengine - INFO - Epoch(train) [22][3560/3757] lr: 1.000e-02 eta: 22:25:29 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 5.0456 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9114 loss: 1.9114 2022/06/29 20:49:36 - mmengine - INFO - Epoch(train) [22][3580/3757] lr: 1.000e-02 eta: 22:25:24 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 5.6107 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8098 loss: 1.8098 2022/06/29 20:49:41 - mmengine - INFO - Epoch(train) [22][3600/3757] lr: 1.000e-02 eta: 22:25:17 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.4268 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1963 loss: 2.1963 2022/06/29 20:49:46 - mmengine - INFO - Epoch(train) [22][3620/3757] lr: 1.000e-02 eta: 22:25:11 time: 0.285 data_time: 0.006 memory: 6404 grad_norm: 5.1382 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3352 loss: 2.3352 2022/06/29 20:49:52 - mmengine - INFO - Epoch(train) [22][3640/3757] lr: 1.000e-02 eta: 22:25:05 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 5.3849 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1516 loss: 2.1516 2022/06/29 20:49:57 - mmengine - INFO - Epoch(train) [22][3660/3757] lr: 1.000e-02 eta: 22:25:00 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.3280 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1837 loss: 2.1837 2022/06/29 20:50:02 - mmengine - INFO - Epoch(train) [22][3680/3757] lr: 1.000e-02 eta: 22:24:53 time: 0.274 data_time: 0.006 memory: 6404 grad_norm: 5.9036 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8330 loss: 1.8330 2022/06/29 20:50:08 - mmengine - INFO - Epoch(train) [22][3700/3757] lr: 1.000e-02 eta: 22:24:49 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 5.6057 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3585 loss: 2.3585 2022/06/29 20:50:14 - mmengine - INFO - Epoch(train) [22][3720/3757] lr: 1.000e-02 eta: 22:24:44 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.7179 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9457 loss: 1.9457 2022/06/29 20:50:19 - mmengine - INFO - Epoch(train) [22][3740/3757] lr: 1.000e-02 eta: 22:24:39 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 5.3408 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6083 loss: 1.6083 2022/06/29 20:50:24 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 20:50:31 - mmengine - INFO - Epoch(val) [22][20/310] eta: 0:01:29 time: 0.091 data_time: 0.016 memory: 6404 2022/06/29 20:50:36 - mmengine - INFO - Epoch(val) [22][40/310] eta: 0:01:08 time: 0.118 data_time: 0.046 memory: 1479 2022/06/29 20:50:40 - mmengine - INFO - Epoch(val) [22][60/310] eta: 0:00:22 time: 0.089 data_time: 0.007 memory: 1479 2022/06/29 20:50:46 - mmengine - INFO - Epoch(val) [22][80/310] eta: 0:01:10 time: 0.100 data_time: 0.014 memory: 1479 2022/06/29 20:50:52 - mmengine - INFO - Epoch(val) [22][100/310] eta: 0:01:03 time: 0.470 data_time: 0.380 memory: 1479 2022/06/29 20:50:57 - mmengine - INFO - Epoch(val) [22][120/310] eta: 0:00:36 time: 0.083 data_time: 0.006 memory: 1479 2022/06/29 20:51:03 - mmengine - INFO - Epoch(val) [22][140/310] eta: 0:00:47 time: 0.373 data_time: 0.281 memory: 1479 2022/06/29 20:51:08 - mmengine - INFO - Epoch(val) [22][160/310] eta: 0:00:47 time: 0.961 data_time: 0.879 memory: 1479 2022/06/29 20:51:13 - mmengine - INFO - Epoch(val) [22][180/310] eta: 0:00:38 time: 0.083 data_time: 0.007 memory: 1479 2022/06/29 20:51:19 - mmengine - INFO - Epoch(val) [22][200/310] eta: 0:00:34 time: 0.096 data_time: 0.012 memory: 1479 2022/06/29 20:51:24 - mmengine - INFO - Epoch(val) [22][220/310] eta: 0:00:26 time: 0.094 data_time: 0.011 memory: 1479 2022/06/29 20:51:29 - mmengine - INFO - Epoch(val) [22][240/310] eta: 0:00:20 time: 0.080 data_time: 0.005 memory: 1479 2022/06/29 20:51:35 - mmengine - INFO - Epoch(val) [22][260/310] eta: 0:00:15 time: 0.090 data_time: 0.009 memory: 1479 2022/06/29 20:51:40 - mmengine - INFO - Epoch(val) [22][280/310] eta: 0:00:09 time: 0.097 data_time: 0.011 memory: 1479 2022/06/29 20:51:44 - mmengine - INFO - Epoch(val) [22][300/310] eta: 0:00:02 time: 0.091 data_time: 0.005 memory: 1479 2022/06/29 20:51:47 - mmengine - INFO - Epoch(val) [22][310/310] acc/top1: 0.5525 acc/top5: 0.7965 acc/mean1: 0.5524 2022/06/29 20:51:56 - mmengine - INFO - Epoch(train) [23][20/3757] lr: 1.000e-02 eta: 22:24:32 time: 0.240 data_time: 0.010 memory: 6404 grad_norm: 4.8424 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0925 loss: 2.0925 2022/06/29 20:52:02 - mmengine - INFO - Epoch(train) [23][40/3757] lr: 1.000e-02 eta: 22:24:29 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 4.7767 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1357 loss: 2.1357 2022/06/29 20:52:07 - mmengine - INFO - Epoch(train) [23][60/3757] lr: 1.000e-02 eta: 22:24:24 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 5.7163 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8311 loss: 1.8311 2022/06/29 20:52:13 - mmengine - INFO - Epoch(train) [23][80/3757] lr: 1.000e-02 eta: 22:24:17 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 6.6274 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9821 loss: 1.9821 2022/06/29 20:52:18 - mmengine - INFO - Epoch(train) [23][100/3757] lr: 1.000e-02 eta: 22:24:11 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.2304 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1048 loss: 2.1048 2022/06/29 20:52:23 - mmengine - INFO - Epoch(train) [23][120/3757] lr: 1.000e-02 eta: 22:24:06 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 5.3663 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9150 loss: 1.9150 2022/06/29 20:52:29 - mmengine - INFO - Epoch(train) [23][140/3757] lr: 1.000e-02 eta: 22:24:00 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 4.8659 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9667 loss: 1.9667 2022/06/29 20:52:35 - mmengine - INFO - Epoch(train) [23][160/3757] lr: 1.000e-02 eta: 22:23:56 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 4.9085 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3203 loss: 2.3203 2022/06/29 20:52:40 - mmengine - INFO - Epoch(train) [23][180/3757] lr: 1.000e-02 eta: 22:23:49 time: 0.260 data_time: 0.013 memory: 6404 grad_norm: 5.0672 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1925 loss: 2.1925 2022/06/29 20:52:46 - mmengine - INFO - Epoch(train) [23][200/3757] lr: 1.000e-02 eta: 22:23:44 time: 0.259 data_time: 0.006 memory: 6404 grad_norm: 5.5008 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1461 loss: 2.1461 2022/06/29 20:52:52 - mmengine - INFO - Epoch(train) [23][220/3757] lr: 1.000e-02 eta: 22:23:41 time: 0.262 data_time: 0.006 memory: 6404 grad_norm: 5.2381 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9573 loss: 1.9573 2022/06/29 20:52:57 - mmengine - INFO - Epoch(train) [23][240/3757] lr: 1.000e-02 eta: 22:23:34 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 5.3670 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1926 loss: 2.1926 2022/06/29 20:53:02 - mmengine - INFO - Epoch(train) [23][260/3757] lr: 1.000e-02 eta: 22:23:28 time: 0.243 data_time: 0.009 memory: 6404 grad_norm: 5.3370 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2358 loss: 2.2358 2022/06/29 20:53:08 - mmengine - INFO - Epoch(train) [23][280/3757] lr: 1.000e-02 eta: 22:23:22 time: 0.472 data_time: 0.007 memory: 6404 grad_norm: 5.5818 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9110 loss: 1.9110 2022/06/29 20:53:13 - mmengine - INFO - Epoch(train) [23][300/3757] lr: 1.000e-02 eta: 22:23:16 time: 0.249 data_time: 0.025 memory: 6404 grad_norm: 6.0897 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9609 loss: 1.9609 2022/06/29 20:53:18 - mmengine - INFO - Epoch(train) [23][320/3757] lr: 1.000e-02 eta: 22:23:10 time: 0.335 data_time: 0.007 memory: 6404 grad_norm: 5.7573 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0325 loss: 2.0325 2022/06/29 20:53:24 - mmengine - INFO - Epoch(train) [23][340/3757] lr: 1.000e-02 eta: 22:23:06 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 5.3497 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6444 loss: 1.6444 2022/06/29 20:53:26 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 20:53:30 - mmengine - INFO - Epoch(train) [23][360/3757] lr: 1.000e-02 eta: 22:23:00 time: 0.259 data_time: 0.014 memory: 6404 grad_norm: 6.0645 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1097 loss: 2.1097 2022/06/29 20:53:35 - mmengine - INFO - Epoch(train) [23][380/3757] lr: 1.000e-02 eta: 22:22:56 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 5.7967 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2489 loss: 2.2489 2022/06/29 20:53:41 - mmengine - INFO - Epoch(train) [23][400/3757] lr: 1.000e-02 eta: 22:22:49 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 5.3538 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9834 loss: 1.9834 2022/06/29 20:53:47 - mmengine - INFO - Epoch(train) [23][420/3757] lr: 1.000e-02 eta: 22:22:46 time: 0.266 data_time: 0.021 memory: 6404 grad_norm: 6.2983 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8305 loss: 1.8305 2022/06/29 20:53:53 - mmengine - INFO - Epoch(train) [23][440/3757] lr: 1.000e-02 eta: 22:22:42 time: 0.957 data_time: 0.007 memory: 6404 grad_norm: 4.7467 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7799 loss: 1.7799 2022/06/29 20:53:58 - mmengine - INFO - Epoch(train) [23][460/3757] lr: 1.000e-02 eta: 22:22:35 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 4.8737 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7461 loss: 1.7461 2022/06/29 20:54:03 - mmengine - INFO - Epoch(train) [23][480/3757] lr: 1.000e-02 eta: 22:22:29 time: 0.266 data_time: 0.033 memory: 6404 grad_norm: 5.6154 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9974 loss: 1.9974 2022/06/29 20:54:08 - mmengine - INFO - Epoch(train) [23][500/3757] lr: 1.000e-02 eta: 22:22:22 time: 0.288 data_time: 0.008 memory: 6404 grad_norm: 5.4758 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9181 loss: 1.9181 2022/06/29 20:54:14 - mmengine - INFO - Epoch(train) [23][520/3757] lr: 1.000e-02 eta: 22:22:16 time: 0.241 data_time: 0.009 memory: 6404 grad_norm: 5.7384 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7441 loss: 1.7441 2022/06/29 20:54:19 - mmengine - INFO - Epoch(train) [23][540/3757] lr: 1.000e-02 eta: 22:22:10 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 5.5857 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8261 loss: 1.8261 2022/06/29 20:54:25 - mmengine - INFO - Epoch(train) [23][560/3757] lr: 1.000e-02 eta: 22:22:04 time: 0.740 data_time: 0.021 memory: 6404 grad_norm: 5.2224 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3238 loss: 2.3238 2022/06/29 20:54:30 - mmengine - INFO - Epoch(train) [23][580/3757] lr: 1.000e-02 eta: 22:21:59 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 6.1188 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9780 loss: 1.9780 2022/06/29 20:54:35 - mmengine - INFO - Epoch(train) [23][600/3757] lr: 1.000e-02 eta: 22:21:53 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 6.3224 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6159 loss: 1.6159 2022/06/29 20:54:41 - mmengine - INFO - Epoch(train) [23][620/3757] lr: 1.000e-02 eta: 22:21:49 time: 0.711 data_time: 0.018 memory: 6404 grad_norm: 4.8854 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9673 loss: 1.9673 2022/06/29 20:54:47 - mmengine - INFO - Epoch(train) [23][640/3757] lr: 1.000e-02 eta: 22:21:43 time: 0.297 data_time: 0.009 memory: 6404 grad_norm: 5.9497 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1650 loss: 2.1650 2022/06/29 20:54:53 - mmengine - INFO - Epoch(train) [23][660/3757] lr: 1.000e-02 eta: 22:21:39 time: 0.242 data_time: 0.008 memory: 6404 grad_norm: 5.9597 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0648 loss: 2.0648 2022/06/29 20:54:58 - mmengine - INFO - Epoch(train) [23][680/3757] lr: 1.000e-02 eta: 22:21:34 time: 0.543 data_time: 0.008 memory: 6404 grad_norm: 6.7931 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4751 loss: 2.4751 2022/06/29 20:55:04 - mmengine - INFO - Epoch(train) [23][700/3757] lr: 1.000e-02 eta: 22:21:28 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 5.7877 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9610 loss: 1.9610 2022/06/29 20:55:09 - mmengine - INFO - Epoch(train) [23][720/3757] lr: 1.000e-02 eta: 22:21:22 time: 0.247 data_time: 0.013 memory: 6404 grad_norm: 5.5190 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8527 loss: 1.8527 2022/06/29 20:55:15 - mmengine - INFO - Epoch(train) [23][740/3757] lr: 1.000e-02 eta: 22:21:19 time: 0.275 data_time: 0.014 memory: 6404 grad_norm: 5.7090 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5035 loss: 2.5035 2022/06/29 20:55:20 - mmengine - INFO - Epoch(train) [23][760/3757] lr: 1.000e-02 eta: 22:21:12 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.8677 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2802 loss: 2.2802 2022/06/29 20:55:26 - mmengine - INFO - Epoch(train) [23][780/3757] lr: 1.000e-02 eta: 22:21:05 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 4.5894 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9941 loss: 1.9941 2022/06/29 20:55:31 - mmengine - INFO - Epoch(train) [23][800/3757] lr: 1.000e-02 eta: 22:20:58 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.1850 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9283 loss: 1.9283 2022/06/29 20:55:36 - mmengine - INFO - Epoch(train) [23][820/3757] lr: 1.000e-02 eta: 22:20:51 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.1266 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9811 loss: 1.9811 2022/06/29 20:55:41 - mmengine - INFO - Epoch(train) [23][840/3757] lr: 1.000e-02 eta: 22:20:44 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.4938 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0571 loss: 2.0571 2022/06/29 20:55:47 - mmengine - INFO - Epoch(train) [23][860/3757] lr: 1.000e-02 eta: 22:20:39 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 5.3680 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8980 loss: 1.8980 2022/06/29 20:55:52 - mmengine - INFO - Epoch(train) [23][880/3757] lr: 1.000e-02 eta: 22:20:34 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.9932 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0892 loss: 2.0892 2022/06/29 20:55:58 - mmengine - INFO - Epoch(train) [23][900/3757] lr: 1.000e-02 eta: 22:20:29 time: 0.246 data_time: 0.014 memory: 6404 grad_norm: 5.3523 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1577 loss: 2.1577 2022/06/29 20:56:04 - mmengine - INFO - Epoch(train) [23][920/3757] lr: 1.000e-02 eta: 22:20:25 time: 0.285 data_time: 0.008 memory: 6404 grad_norm: 5.1578 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7291 loss: 1.7291 2022/06/29 20:56:09 - mmengine - INFO - Epoch(train) [23][940/3757] lr: 1.000e-02 eta: 22:20:18 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 6.0152 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.7964 loss: 1.7964 2022/06/29 20:56:15 - mmengine - INFO - Epoch(train) [23][960/3757] lr: 1.000e-02 eta: 22:20:14 time: 0.244 data_time: 0.015 memory: 6404 grad_norm: 5.6997 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3016 loss: 2.3016 2022/06/29 20:56:20 - mmengine - INFO - Epoch(train) [23][980/3757] lr: 1.000e-02 eta: 22:20:08 time: 0.259 data_time: 0.006 memory: 6404 grad_norm: 4.9990 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0724 loss: 2.0724 2022/06/29 20:56:26 - mmengine - INFO - Epoch(train) [23][1000/3757] lr: 1.000e-02 eta: 22:20:02 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.4561 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3193 loss: 2.3193 2022/06/29 20:56:31 - mmengine - INFO - Epoch(train) [23][1020/3757] lr: 1.000e-02 eta: 22:19:56 time: 0.246 data_time: 0.016 memory: 6404 grad_norm: 5.8997 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7029 loss: 1.7029 2022/06/29 20:56:37 - mmengine - INFO - Epoch(train) [23][1040/3757] lr: 1.000e-02 eta: 22:19:51 time: 0.263 data_time: 0.008 memory: 6404 grad_norm: 5.6795 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5765 loss: 1.5765 2022/06/29 20:56:42 - mmengine - INFO - Epoch(train) [23][1060/3757] lr: 1.000e-02 eta: 22:19:45 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.1768 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7402 loss: 1.7402 2022/06/29 20:56:48 - mmengine - INFO - Epoch(train) [23][1080/3757] lr: 1.000e-02 eta: 22:19:41 time: 0.246 data_time: 0.039 memory: 6404 grad_norm: 5.2927 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5992 loss: 1.5992 2022/06/29 20:56:53 - mmengine - INFO - Epoch(train) [23][1100/3757] lr: 1.000e-02 eta: 22:19:34 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.2986 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1156 loss: 2.1156 2022/06/29 20:56:58 - mmengine - INFO - Epoch(train) [23][1120/3757] lr: 1.000e-02 eta: 22:19:28 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 4.6586 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0673 loss: 2.0673 2022/06/29 20:57:04 - mmengine - INFO - Epoch(train) [23][1140/3757] lr: 1.000e-02 eta: 22:19:23 time: 0.243 data_time: 0.036 memory: 6404 grad_norm: 4.4745 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0614 loss: 2.0614 2022/06/29 20:57:10 - mmengine - INFO - Epoch(train) [23][1160/3757] lr: 1.000e-02 eta: 22:19:18 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.8916 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0735 loss: 2.0735 2022/06/29 20:57:15 - mmengine - INFO - Epoch(train) [23][1180/3757] lr: 1.000e-02 eta: 22:19:12 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.1890 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8655 loss: 1.8655 2022/06/29 20:57:20 - mmengine - INFO - Epoch(train) [23][1200/3757] lr: 1.000e-02 eta: 22:19:06 time: 0.255 data_time: 0.032 memory: 6404 grad_norm: 5.6185 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8709 loss: 1.8709 2022/06/29 20:57:26 - mmengine - INFO - Epoch(train) [23][1220/3757] lr: 1.000e-02 eta: 22:19:00 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 4.6653 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8700 loss: 1.8700 2022/06/29 20:57:32 - mmengine - INFO - Epoch(train) [23][1240/3757] lr: 1.000e-02 eta: 22:18:56 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.5293 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8978 loss: 1.8978 2022/06/29 20:57:37 - mmengine - INFO - Epoch(train) [23][1260/3757] lr: 1.000e-02 eta: 22:18:50 time: 0.244 data_time: 0.024 memory: 6404 grad_norm: 5.2776 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1816 loss: 2.1816 2022/06/29 20:57:43 - mmengine - INFO - Epoch(train) [23][1280/3757] lr: 1.000e-02 eta: 22:18:45 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.7968 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2566 loss: 2.2566 2022/06/29 20:57:48 - mmengine - INFO - Epoch(train) [23][1300/3757] lr: 1.000e-02 eta: 22:18:40 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.2640 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3805 loss: 2.3805 2022/06/29 20:57:54 - mmengine - INFO - Epoch(train) [23][1320/3757] lr: 1.000e-02 eta: 22:18:34 time: 0.260 data_time: 0.009 memory: 6404 grad_norm: 6.6130 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5173 loss: 2.5173 2022/06/29 20:58:00 - mmengine - INFO - Epoch(train) [23][1340/3757] lr: 1.000e-02 eta: 22:18:31 time: 0.241 data_time: 0.010 memory: 6404 grad_norm: 5.2193 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8171 loss: 1.8171 2022/06/29 20:58:02 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 20:58:06 - mmengine - INFO - Epoch(train) [23][1360/3757] lr: 1.000e-02 eta: 22:18:26 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.3822 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8769 loss: 1.8769 2022/06/29 20:58:11 - mmengine - INFO - Epoch(train) [23][1380/3757] lr: 1.000e-02 eta: 22:18:19 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 5.1558 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9364 loss: 1.9364 2022/06/29 20:58:16 - mmengine - INFO - Epoch(train) [23][1400/3757] lr: 1.000e-02 eta: 22:18:13 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.9321 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4097 loss: 2.4097 2022/06/29 20:58:21 - mmengine - INFO - Epoch(train) [23][1420/3757] lr: 1.000e-02 eta: 22:18:07 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.0265 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2516 loss: 2.2516 2022/06/29 20:58:27 - mmengine - INFO - Epoch(train) [23][1440/3757] lr: 1.000e-02 eta: 22:18:02 time: 0.251 data_time: 0.017 memory: 6404 grad_norm: 5.9364 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9436 loss: 1.9436 2022/06/29 20:58:33 - mmengine - INFO - Epoch(train) [23][1460/3757] lr: 1.000e-02 eta: 22:17:56 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.1523 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1641 loss: 2.1641 2022/06/29 20:58:38 - mmengine - INFO - Epoch(train) [23][1480/3757] lr: 1.000e-02 eta: 22:17:49 time: 0.251 data_time: 0.017 memory: 6404 grad_norm: 5.6890 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9088 loss: 1.9088 2022/06/29 20:58:44 - mmengine - INFO - Epoch(train) [23][1500/3757] lr: 1.000e-02 eta: 22:17:45 time: 0.318 data_time: 0.043 memory: 6404 grad_norm: 6.5396 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9356 loss: 1.9356 2022/06/29 20:58:49 - mmengine - INFO - Epoch(train) [23][1520/3757] lr: 1.000e-02 eta: 22:17:39 time: 0.269 data_time: 0.019 memory: 6404 grad_norm: 5.5809 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0014 loss: 2.0014 2022/06/29 20:58:54 - mmengine - INFO - Epoch(train) [23][1540/3757] lr: 1.000e-02 eta: 22:17:33 time: 0.245 data_time: 0.019 memory: 6404 grad_norm: 5.8926 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3297 loss: 2.3297 2022/06/29 20:59:00 - mmengine - INFO - Epoch(train) [23][1560/3757] lr: 1.000e-02 eta: 22:17:26 time: 0.243 data_time: 0.016 memory: 6404 grad_norm: 5.3861 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0447 loss: 2.0447 2022/06/29 20:59:05 - mmengine - INFO - Epoch(train) [23][1580/3757] lr: 1.000e-02 eta: 22:17:22 time: 0.254 data_time: 0.020 memory: 6404 grad_norm: 5.2147 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0754 loss: 2.0754 2022/06/29 20:59:10 - mmengine - INFO - Epoch(train) [23][1600/3757] lr: 1.000e-02 eta: 22:17:15 time: 0.384 data_time: 0.011 memory: 6404 grad_norm: 6.3039 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6610 loss: 1.6610 2022/06/29 20:59:16 - mmengine - INFO - Epoch(train) [23][1620/3757] lr: 1.000e-02 eta: 22:17:09 time: 0.252 data_time: 0.024 memory: 6404 grad_norm: 5.4940 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6833 loss: 1.6833 2022/06/29 20:59:21 - mmengine - INFO - Epoch(train) [23][1640/3757] lr: 1.000e-02 eta: 22:17:04 time: 0.268 data_time: 0.025 memory: 6404 grad_norm: 6.0865 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6748 loss: 1.6748 2022/06/29 20:59:27 - mmengine - INFO - Epoch(train) [23][1660/3757] lr: 1.000e-02 eta: 22:16:59 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 6.1120 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8544 loss: 1.8544 2022/06/29 20:59:33 - mmengine - INFO - Epoch(train) [23][1680/3757] lr: 1.000e-02 eta: 22:16:53 time: 0.237 data_time: 0.042 memory: 6404 grad_norm: 6.0441 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3261 loss: 2.3261 2022/06/29 20:59:38 - mmengine - INFO - Epoch(train) [23][1700/3757] lr: 1.000e-02 eta: 22:16:47 time: 0.261 data_time: 0.017 memory: 6404 grad_norm: 5.8766 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5026 loss: 2.5026 2022/06/29 20:59:45 - mmengine - INFO - Epoch(train) [23][1720/3757] lr: 1.000e-02 eta: 22:16:47 time: 1.769 data_time: 0.008 memory: 6404 grad_norm: 6.3009 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2582 loss: 2.2582 2022/06/29 20:59:50 - mmengine - INFO - Epoch(train) [23][1740/3757] lr: 1.000e-02 eta: 22:16:40 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 6.0160 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0570 loss: 2.0570 2022/06/29 20:59:55 - mmengine - INFO - Epoch(train) [23][1760/3757] lr: 1.000e-02 eta: 22:16:33 time: 0.258 data_time: 0.024 memory: 6404 grad_norm: 6.2702 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1944 loss: 2.1944 2022/06/29 21:00:00 - mmengine - INFO - Epoch(train) [23][1780/3757] lr: 1.000e-02 eta: 22:16:26 time: 0.251 data_time: 0.021 memory: 6404 grad_norm: 5.3170 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1108 loss: 2.1108 2022/06/29 21:00:05 - mmengine - INFO - Epoch(train) [23][1800/3757] lr: 1.000e-02 eta: 22:16:19 time: 0.256 data_time: 0.017 memory: 6404 grad_norm: 5.8370 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6746 loss: 1.6746 2022/06/29 21:00:11 - mmengine - INFO - Epoch(train) [23][1820/3757] lr: 1.000e-02 eta: 22:16:16 time: 0.252 data_time: 0.030 memory: 6404 grad_norm: 5.0271 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6555 loss: 1.6555 2022/06/29 21:00:17 - mmengine - INFO - Epoch(train) [23][1840/3757] lr: 1.000e-02 eta: 22:16:09 time: 0.253 data_time: 0.016 memory: 6404 grad_norm: 5.9799 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9638 loss: 1.9638 2022/06/29 21:00:22 - mmengine - INFO - Epoch(train) [23][1860/3757] lr: 1.000e-02 eta: 22:16:03 time: 0.255 data_time: 0.012 memory: 6404 grad_norm: 5.1529 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0973 loss: 2.0973 2022/06/29 21:00:28 - mmengine - INFO - Epoch(train) [23][1880/3757] lr: 1.000e-02 eta: 22:15:58 time: 0.256 data_time: 0.036 memory: 6404 grad_norm: 5.3251 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0987 loss: 2.0987 2022/06/29 21:00:33 - mmengine - INFO - Epoch(train) [23][1900/3757] lr: 1.000e-02 eta: 22:15:51 time: 0.251 data_time: 0.014 memory: 6404 grad_norm: 5.6484 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7272 loss: 1.7272 2022/06/29 21:00:38 - mmengine - INFO - Epoch(train) [23][1920/3757] lr: 1.000e-02 eta: 22:15:45 time: 0.240 data_time: 0.008 memory: 6404 grad_norm: 5.2617 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5290 loss: 2.5290 2022/06/29 21:00:44 - mmengine - INFO - Epoch(train) [23][1940/3757] lr: 1.000e-02 eta: 22:15:41 time: 0.706 data_time: 0.489 memory: 6404 grad_norm: 5.3545 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0884 loss: 2.0884 2022/06/29 21:00:49 - mmengine - INFO - Epoch(train) [23][1960/3757] lr: 1.000e-02 eta: 22:15:34 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 6.1151 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6367 loss: 1.6367 2022/06/29 21:00:55 - mmengine - INFO - Epoch(train) [23][1980/3757] lr: 1.000e-02 eta: 22:15:29 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.8369 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3177 loss: 2.3177 2022/06/29 21:01:00 - mmengine - INFO - Epoch(train) [23][2000/3757] lr: 1.000e-02 eta: 22:15:23 time: 0.243 data_time: 0.017 memory: 6404 grad_norm: 5.0229 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9290 loss: 1.9290 2022/06/29 21:01:06 - mmengine - INFO - Epoch(train) [23][2020/3757] lr: 1.000e-02 eta: 22:15:19 time: 0.240 data_time: 0.007 memory: 6404 grad_norm: 5.7680 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6071 loss: 1.6071 2022/06/29 21:01:12 - mmengine - INFO - Epoch(train) [23][2040/3757] lr: 1.000e-02 eta: 22:15:13 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 5.4674 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1910 loss: 2.1910 2022/06/29 21:01:17 - mmengine - INFO - Epoch(train) [23][2060/3757] lr: 1.000e-02 eta: 22:15:08 time: 0.239 data_time: 0.019 memory: 6404 grad_norm: 5.2047 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9621 loss: 1.9621 2022/06/29 21:01:23 - mmengine - INFO - Epoch(train) [23][2080/3757] lr: 1.000e-02 eta: 22:15:03 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 5.7188 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7773 loss: 1.7773 2022/06/29 21:01:28 - mmengine - INFO - Epoch(train) [23][2100/3757] lr: 1.000e-02 eta: 22:14:57 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 6.3693 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7517 loss: 1.7517 2022/06/29 21:01:34 - mmengine - INFO - Epoch(train) [23][2120/3757] lr: 1.000e-02 eta: 22:14:53 time: 0.250 data_time: 0.030 memory: 6404 grad_norm: 5.2771 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.2870 loss: 2.2870 2022/06/29 21:01:40 - mmengine - INFO - Epoch(train) [23][2140/3757] lr: 1.000e-02 eta: 22:14:47 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 4.8568 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8064 loss: 1.8064 2022/06/29 21:01:45 - mmengine - INFO - Epoch(train) [23][2160/3757] lr: 1.000e-02 eta: 22:14:43 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 6.2994 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0324 loss: 2.0324 2022/06/29 21:01:50 - mmengine - INFO - Epoch(train) [23][2180/3757] lr: 1.000e-02 eta: 22:14:36 time: 0.270 data_time: 0.074 memory: 6404 grad_norm: 5.5114 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2568 loss: 2.2568 2022/06/29 21:01:56 - mmengine - INFO - Epoch(train) [23][2200/3757] lr: 1.000e-02 eta: 22:14:31 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.1918 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7230 loss: 1.7230 2022/06/29 21:02:02 - mmengine - INFO - Epoch(train) [23][2220/3757] lr: 1.000e-02 eta: 22:14:25 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 5.4221 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1897 loss: 2.1897 2022/06/29 21:02:07 - mmengine - INFO - Epoch(train) [23][2240/3757] lr: 1.000e-02 eta: 22:14:20 time: 0.244 data_time: 0.052 memory: 6404 grad_norm: 5.7713 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7736 loss: 1.7736 2022/06/29 21:02:13 - mmengine - INFO - Epoch(train) [23][2260/3757] lr: 1.000e-02 eta: 22:14:14 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.3529 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8063 loss: 1.8063 2022/06/29 21:02:18 - mmengine - INFO - Epoch(train) [23][2280/3757] lr: 1.000e-02 eta: 22:14:08 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 5.6787 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0623 loss: 2.0623 2022/06/29 21:02:24 - mmengine - INFO - Epoch(train) [23][2300/3757] lr: 1.000e-02 eta: 22:14:04 time: 0.403 data_time: 0.081 memory: 6404 grad_norm: 5.4932 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0437 loss: 2.0437 2022/06/29 21:02:29 - mmengine - INFO - Epoch(train) [23][2320/3757] lr: 1.000e-02 eta: 22:13:59 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 5.6575 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8465 loss: 1.8465 2022/06/29 21:02:35 - mmengine - INFO - Epoch(train) [23][2340/3757] lr: 1.000e-02 eta: 22:13:53 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 5.0710 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9304 loss: 1.9304 2022/06/29 21:02:37 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 21:02:41 - mmengine - INFO - Epoch(train) [23][2360/3757] lr: 1.000e-02 eta: 22:13:48 time: 0.242 data_time: 0.020 memory: 6404 grad_norm: 6.2869 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8665 loss: 1.8665 2022/06/29 21:02:46 - mmengine - INFO - Epoch(train) [23][2380/3757] lr: 1.000e-02 eta: 22:13:43 time: 0.262 data_time: 0.014 memory: 6404 grad_norm: 5.1499 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3647 loss: 2.3647 2022/06/29 21:02:52 - mmengine - INFO - Epoch(train) [23][2400/3757] lr: 1.000e-02 eta: 22:13:37 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 5.3622 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9511 loss: 1.9511 2022/06/29 21:02:57 - mmengine - INFO - Epoch(train) [23][2420/3757] lr: 1.000e-02 eta: 22:13:32 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 5.7643 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9755 loss: 1.9755 2022/06/29 21:03:02 - mmengine - INFO - Epoch(train) [23][2440/3757] lr: 1.000e-02 eta: 22:13:25 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 5.6498 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3365 loss: 1.3365 2022/06/29 21:03:08 - mmengine - INFO - Epoch(train) [23][2460/3757] lr: 1.000e-02 eta: 22:13:20 time: 0.263 data_time: 0.014 memory: 6404 grad_norm: 5.7936 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8749 loss: 1.8749 2022/06/29 21:03:13 - mmengine - INFO - Epoch(train) [23][2480/3757] lr: 1.000e-02 eta: 22:13:13 time: 0.248 data_time: 0.013 memory: 6404 grad_norm: 5.9257 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8573 loss: 1.8573 2022/06/29 21:03:18 - mmengine - INFO - Epoch(train) [23][2500/3757] lr: 1.000e-02 eta: 22:13:06 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.7447 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0266 loss: 2.0266 2022/06/29 21:03:23 - mmengine - INFO - Epoch(train) [23][2520/3757] lr: 1.000e-02 eta: 22:12:59 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 6.2161 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9345 loss: 1.9345 2022/06/29 21:03:29 - mmengine - INFO - Epoch(train) [23][2540/3757] lr: 1.000e-02 eta: 22:12:53 time: 0.235 data_time: 0.010 memory: 6404 grad_norm: 5.2873 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6952 loss: 1.6952 2022/06/29 21:03:34 - mmengine - INFO - Epoch(train) [23][2560/3757] lr: 1.000e-02 eta: 22:12:48 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 4.5067 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2256 loss: 2.2256 2022/06/29 21:03:40 - mmengine - INFO - Epoch(train) [23][2580/3757] lr: 1.000e-02 eta: 22:12:44 time: 0.425 data_time: 0.012 memory: 6404 grad_norm: 4.6278 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9823 loss: 1.9823 2022/06/29 21:03:46 - mmengine - INFO - Epoch(train) [23][2600/3757] lr: 1.000e-02 eta: 22:12:39 time: 0.266 data_time: 0.006 memory: 6404 grad_norm: 5.7971 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9623 loss: 1.9623 2022/06/29 21:03:51 - mmengine - INFO - Epoch(train) [23][2620/3757] lr: 1.000e-02 eta: 22:12:32 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 5.7070 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9130 loss: 1.9130 2022/06/29 21:03:56 - mmengine - INFO - Epoch(train) [23][2640/3757] lr: 1.000e-02 eta: 22:12:26 time: 0.285 data_time: 0.014 memory: 6404 grad_norm: 4.8801 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8509 loss: 1.8509 2022/06/29 21:04:01 - mmengine - INFO - Epoch(train) [23][2660/3757] lr: 1.000e-02 eta: 22:12:19 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 5.5354 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0779 loss: 2.0779 2022/06/29 21:04:07 - mmengine - INFO - Epoch(train) [23][2680/3757] lr: 1.000e-02 eta: 22:12:13 time: 0.253 data_time: 0.017 memory: 6404 grad_norm: 5.4631 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1189 loss: 2.1189 2022/06/29 21:04:12 - mmengine - INFO - Epoch(train) [23][2700/3757] lr: 1.000e-02 eta: 22:12:08 time: 0.493 data_time: 0.014 memory: 6404 grad_norm: 5.3460 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9437 loss: 1.9437 2022/06/29 21:04:18 - mmengine - INFO - Epoch(train) [23][2720/3757] lr: 1.000e-02 eta: 22:12:03 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 6.0080 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9681 loss: 1.9681 2022/06/29 21:04:24 - mmengine - INFO - Epoch(train) [23][2740/3757] lr: 1.000e-02 eta: 22:11:57 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 5.8414 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1290 loss: 2.1290 2022/06/29 21:04:29 - mmengine - INFO - Epoch(train) [23][2760/3757] lr: 1.000e-02 eta: 22:11:52 time: 0.262 data_time: 0.013 memory: 6404 grad_norm: 5.9307 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9821 loss: 1.9821 2022/06/29 21:04:34 - mmengine - INFO - Epoch(train) [23][2780/3757] lr: 1.000e-02 eta: 22:11:46 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.3905 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9963 loss: 1.9963 2022/06/29 21:04:40 - mmengine - INFO - Epoch(train) [23][2800/3757] lr: 1.000e-02 eta: 22:11:40 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 5.6310 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0736 loss: 2.0736 2022/06/29 21:04:46 - mmengine - INFO - Epoch(train) [23][2820/3757] lr: 1.000e-02 eta: 22:11:35 time: 0.267 data_time: 0.011 memory: 6404 grad_norm: 5.4971 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0773 loss: 2.0773 2022/06/29 21:04:51 - mmengine - INFO - Epoch(train) [23][2840/3757] lr: 1.000e-02 eta: 22:11:29 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.5433 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5927 loss: 1.5927 2022/06/29 21:04:56 - mmengine - INFO - Epoch(train) [23][2860/3757] lr: 1.000e-02 eta: 22:11:23 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 6.7128 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.8394 loss: 1.8394 2022/06/29 21:05:02 - mmengine - INFO - Epoch(train) [23][2880/3757] lr: 1.000e-02 eta: 22:11:19 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.0153 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9644 loss: 1.9644 2022/06/29 21:05:08 - mmengine - INFO - Epoch(train) [23][2900/3757] lr: 1.000e-02 eta: 22:11:16 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 5.8502 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.8855 loss: 1.8855 2022/06/29 21:05:13 - mmengine - INFO - Epoch(train) [23][2920/3757] lr: 1.000e-02 eta: 22:11:09 time: 0.270 data_time: 0.014 memory: 6404 grad_norm: 5.2121 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7968 loss: 1.7968 2022/06/29 21:05:19 - mmengine - INFO - Epoch(train) [23][2940/3757] lr: 1.000e-02 eta: 22:11:02 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 5.0243 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5345 loss: 2.5345 2022/06/29 21:05:24 - mmengine - INFO - Epoch(train) [23][2960/3757] lr: 1.000e-02 eta: 22:10:55 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 5.8291 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8127 loss: 1.8127 2022/06/29 21:05:29 - mmengine - INFO - Epoch(train) [23][2980/3757] lr: 1.000e-02 eta: 22:10:49 time: 0.257 data_time: 0.015 memory: 6404 grad_norm: 5.9486 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7829 loss: 1.7829 2022/06/29 21:05:35 - mmengine - INFO - Epoch(train) [23][3000/3757] lr: 1.000e-02 eta: 22:10:44 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.2366 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2320 loss: 2.2320 2022/06/29 21:05:40 - mmengine - INFO - Epoch(train) [23][3020/3757] lr: 1.000e-02 eta: 22:10:38 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 5.5024 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9302 loss: 1.9302 2022/06/29 21:05:47 - mmengine - INFO - Epoch(train) [23][3040/3757] lr: 1.000e-02 eta: 22:10:37 time: 0.252 data_time: 0.019 memory: 6404 grad_norm: 5.7516 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7358 loss: 1.7358 2022/06/29 21:05:52 - mmengine - INFO - Epoch(train) [23][3060/3757] lr: 1.000e-02 eta: 22:10:30 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 4.9128 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7197 loss: 1.7197 2022/06/29 21:05:57 - mmengine - INFO - Epoch(train) [23][3080/3757] lr: 1.000e-02 eta: 22:10:23 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.3213 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9740 loss: 1.9740 2022/06/29 21:06:02 - mmengine - INFO - Epoch(train) [23][3100/3757] lr: 1.000e-02 eta: 22:10:16 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.4108 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1254 loss: 2.1254 2022/06/29 21:06:08 - mmengine - INFO - Epoch(train) [23][3120/3757] lr: 1.000e-02 eta: 22:10:10 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 5.9599 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6280 loss: 1.6280 2022/06/29 21:06:13 - mmengine - INFO - Epoch(train) [23][3140/3757] lr: 1.000e-02 eta: 22:10:03 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.1217 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1585 loss: 2.1585 2022/06/29 21:06:18 - mmengine - INFO - Epoch(train) [23][3160/3757] lr: 1.000e-02 eta: 22:09:58 time: 0.243 data_time: 0.009 memory: 6404 grad_norm: 4.8977 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9000 loss: 1.9000 2022/06/29 21:06:24 - mmengine - INFO - Epoch(train) [23][3180/3757] lr: 1.000e-02 eta: 22:09:52 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 6.3308 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8815 loss: 1.8815 2022/06/29 21:06:29 - mmengine - INFO - Epoch(train) [23][3200/3757] lr: 1.000e-02 eta: 22:09:47 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 5.2899 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7655 loss: 1.7655 2022/06/29 21:06:35 - mmengine - INFO - Epoch(train) [23][3220/3757] lr: 1.000e-02 eta: 22:09:44 time: 0.687 data_time: 0.006 memory: 6404 grad_norm: 5.6567 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0426 loss: 2.0426 2022/06/29 21:06:41 - mmengine - INFO - Epoch(train) [23][3240/3757] lr: 1.000e-02 eta: 22:09:37 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.5614 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1766 loss: 2.1766 2022/06/29 21:06:47 - mmengine - INFO - Epoch(train) [23][3260/3757] lr: 1.000e-02 eta: 22:09:33 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.1406 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2063 loss: 2.2063 2022/06/29 21:06:52 - mmengine - INFO - Epoch(train) [23][3280/3757] lr: 1.000e-02 eta: 22:09:26 time: 0.289 data_time: 0.006 memory: 6404 grad_norm: 4.6449 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5895 loss: 1.5895 2022/06/29 21:06:57 - mmengine - INFO - Epoch(train) [23][3300/3757] lr: 1.000e-02 eta: 22:09:20 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.2305 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0328 loss: 2.0328 2022/06/29 21:07:03 - mmengine - INFO - Epoch(train) [23][3320/3757] lr: 1.000e-02 eta: 22:09:16 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.6576 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2177 loss: 2.2177 2022/06/29 21:07:08 - mmengine - INFO - Epoch(train) [23][3340/3757] lr: 1.000e-02 eta: 22:09:10 time: 0.429 data_time: 0.007 memory: 6404 grad_norm: 6.1325 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9856 loss: 1.9856 2022/06/29 21:07:10 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 21:07:14 - mmengine - INFO - Epoch(train) [23][3360/3757] lr: 1.000e-02 eta: 22:09:05 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 4.9284 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3859 loss: 2.3859 2022/06/29 21:07:20 - mmengine - INFO - Epoch(train) [23][3380/3757] lr: 1.000e-02 eta: 22:09:00 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.5937 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1511 loss: 2.1511 2022/06/29 21:07:25 - mmengine - INFO - Epoch(train) [23][3400/3757] lr: 1.000e-02 eta: 22:08:55 time: 0.277 data_time: 0.006 memory: 6404 grad_norm: 5.6591 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8885 loss: 1.8885 2022/06/29 21:07:30 - mmengine - INFO - Epoch(train) [23][3420/3757] lr: 1.000e-02 eta: 22:08:48 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 5.5535 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8518 loss: 1.8518 2022/06/29 21:07:36 - mmengine - INFO - Epoch(train) [23][3440/3757] lr: 1.000e-02 eta: 22:08:43 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 6.8449 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9668 loss: 1.9668 2022/06/29 21:07:42 - mmengine - INFO - Epoch(train) [23][3460/3757] lr: 1.000e-02 eta: 22:08:38 time: 0.552 data_time: 0.006 memory: 6404 grad_norm: 5.1458 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1229 loss: 2.1229 2022/06/29 21:07:48 - mmengine - INFO - Epoch(train) [23][3480/3757] lr: 1.000e-02 eta: 22:08:34 time: 0.263 data_time: 0.009 memory: 6404 grad_norm: 5.9790 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5156 loss: 1.5156 2022/06/29 21:07:53 - mmengine - INFO - Epoch(train) [23][3500/3757] lr: 1.000e-02 eta: 22:08:27 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.2292 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7203 loss: 1.7203 2022/06/29 21:07:58 - mmengine - INFO - Epoch(train) [23][3520/3757] lr: 1.000e-02 eta: 22:08:21 time: 0.275 data_time: 0.006 memory: 6404 grad_norm: 5.9167 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0784 loss: 2.0784 2022/06/29 21:08:04 - mmengine - INFO - Epoch(train) [23][3540/3757] lr: 1.000e-02 eta: 22:08:17 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 4.6322 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0542 loss: 2.0542 2022/06/29 21:08:09 - mmengine - INFO - Epoch(train) [23][3560/3757] lr: 1.000e-02 eta: 22:08:11 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 6.7160 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1979 loss: 2.1979 2022/06/29 21:08:15 - mmengine - INFO - Epoch(train) [23][3580/3757] lr: 1.000e-02 eta: 22:08:05 time: 0.363 data_time: 0.006 memory: 6404 grad_norm: 5.2231 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9062 loss: 1.9062 2022/06/29 21:08:20 - mmengine - INFO - Epoch(train) [23][3600/3757] lr: 1.000e-02 eta: 22:08:00 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 6.0749 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9859 loss: 1.9859 2022/06/29 21:08:26 - mmengine - INFO - Epoch(train) [23][3620/3757] lr: 1.000e-02 eta: 22:07:56 time: 0.241 data_time: 0.007 memory: 6404 grad_norm: 5.8316 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0091 loss: 2.0091 2022/06/29 21:08:32 - mmengine - INFO - Epoch(train) [23][3640/3757] lr: 1.000e-02 eta: 22:07:49 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.5316 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7577 loss: 1.7577 2022/06/29 21:08:37 - mmengine - INFO - Epoch(train) [23][3660/3757] lr: 1.000e-02 eta: 22:07:43 time: 0.266 data_time: 0.010 memory: 6404 grad_norm: 5.2444 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1545 loss: 2.1545 2022/06/29 21:08:43 - mmengine - INFO - Epoch(train) [23][3680/3757] lr: 1.000e-02 eta: 22:07:39 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.3561 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8275 loss: 1.8275 2022/06/29 21:08:48 - mmengine - INFO - Epoch(train) [23][3700/3757] lr: 1.000e-02 eta: 22:07:33 time: 0.260 data_time: 0.006 memory: 6404 grad_norm: 5.7274 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9861 loss: 1.9861 2022/06/29 21:08:54 - mmengine - INFO - Epoch(train) [23][3720/3757] lr: 1.000e-02 eta: 22:07:27 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 4.9982 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6299 loss: 1.6299 2022/06/29 21:08:59 - mmengine - INFO - Epoch(train) [23][3740/3757] lr: 1.000e-02 eta: 22:07:20 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.1463 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3186 loss: 2.3186 2022/06/29 21:09:03 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 21:09:10 - mmengine - INFO - Epoch(val) [23][20/310] eta: 0:01:24 time: 0.097 data_time: 0.007 memory: 6404 2022/06/29 21:09:16 - mmengine - INFO - Epoch(val) [23][40/310] eta: 0:01:25 time: 0.254 data_time: 0.164 memory: 1479 2022/06/29 21:09:20 - mmengine - INFO - Epoch(val) [23][60/310] eta: 0:00:26 time: 0.099 data_time: 0.012 memory: 1479 2022/06/29 21:09:26 - mmengine - INFO - Epoch(val) [23][80/310] eta: 0:01:08 time: 0.094 data_time: 0.009 memory: 1479 2022/06/29 21:09:32 - mmengine - INFO - Epoch(val) [23][100/310] eta: 0:01:02 time: 0.435 data_time: 0.360 memory: 1479 2022/06/29 21:09:35 - mmengine - INFO - Epoch(val) [23][120/310] eta: 0:00:18 time: 0.094 data_time: 0.006 memory: 1479 2022/06/29 21:09:41 - mmengine - INFO - Epoch(val) [23][140/310] eta: 0:00:48 time: 0.088 data_time: 0.007 memory: 1479 2022/06/29 21:09:48 - mmengine - INFO - Epoch(val) [23][160/310] eta: 0:00:44 time: 0.997 data_time: 0.920 memory: 1479 2022/06/29 21:09:52 - mmengine - INFO - Epoch(val) [23][180/310] eta: 0:00:25 time: 0.085 data_time: 0.007 memory: 1479 2022/06/29 21:09:58 - mmengine - INFO - Epoch(val) [23][200/310] eta: 0:00:32 time: 0.085 data_time: 0.008 memory: 1479 2022/06/29 21:10:04 - mmengine - INFO - Epoch(val) [23][220/310] eta: 0:00:28 time: 0.711 data_time: 0.624 memory: 1479 2022/06/29 21:10:07 - mmengine - INFO - Epoch(val) [23][240/310] eta: 0:00:15 time: 0.080 data_time: 0.005 memory: 1479 2022/06/29 21:10:13 - mmengine - INFO - Epoch(val) [23][260/310] eta: 0:00:14 time: 0.093 data_time: 0.008 memory: 1479 2022/06/29 21:10:19 - mmengine - INFO - Epoch(val) [23][280/310] eta: 0:00:09 time: 0.515 data_time: 0.430 memory: 1479 2022/06/29 21:10:23 - mmengine - INFO - Epoch(val) [23][300/310] eta: 0:00:02 time: 0.085 data_time: 0.005 memory: 1479 2022/06/29 21:10:26 - mmengine - INFO - Epoch(val) [23][310/310] acc/top1: 0.5591 acc/top5: 0.8024 acc/mean1: 0.5590 2022/06/29 21:10:35 - mmengine - INFO - Epoch(train) [24][20/3757] lr: 1.000e-02 eta: 22:07:13 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 5.9429 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8544 loss: 1.8544 2022/06/29 21:10:41 - mmengine - INFO - Epoch(train) [24][40/3757] lr: 1.000e-02 eta: 22:07:10 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.4180 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9558 loss: 1.9558 2022/06/29 21:10:47 - mmengine - INFO - Epoch(train) [24][60/3757] lr: 1.000e-02 eta: 22:07:05 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 6.6545 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1686 loss: 2.1686 2022/06/29 21:10:52 - mmengine - INFO - Epoch(train) [24][80/3757] lr: 1.000e-02 eta: 22:06:59 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.0847 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0347 loss: 2.0347 2022/06/29 21:10:58 - mmengine - INFO - Epoch(train) [24][100/3757] lr: 1.000e-02 eta: 22:06:55 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.6874 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2926 loss: 2.2926 2022/06/29 21:11:03 - mmengine - INFO - Epoch(train) [24][120/3757] lr: 1.000e-02 eta: 22:06:48 time: 0.249 data_time: 0.005 memory: 6404 grad_norm: 5.5593 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8233 loss: 1.8233 2022/06/29 21:11:09 - mmengine - INFO - Epoch(train) [24][140/3757] lr: 1.000e-02 eta: 22:06:43 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 5.7255 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6501 loss: 1.6501 2022/06/29 21:11:14 - mmengine - INFO - Epoch(train) [24][160/3757] lr: 1.000e-02 eta: 22:06:36 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.1717 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7450 loss: 1.7450 2022/06/29 21:11:20 - mmengine - INFO - Epoch(train) [24][180/3757] lr: 1.000e-02 eta: 22:06:31 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 5.5954 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0029 loss: 2.0029 2022/06/29 21:11:25 - mmengine - INFO - Epoch(train) [24][200/3757] lr: 1.000e-02 eta: 22:06:26 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 4.8252 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1637 loss: 2.1637 2022/06/29 21:11:31 - mmengine - INFO - Epoch(train) [24][220/3757] lr: 1.000e-02 eta: 22:06:21 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.3670 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9404 loss: 1.9404 2022/06/29 21:11:36 - mmengine - INFO - Epoch(train) [24][240/3757] lr: 1.000e-02 eta: 22:06:14 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.1280 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1069 loss: 2.1069 2022/06/29 21:11:42 - mmengine - INFO - Epoch(train) [24][260/3757] lr: 1.000e-02 eta: 22:06:09 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 5.3507 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3231 loss: 2.3231 2022/06/29 21:11:47 - mmengine - INFO - Epoch(train) [24][280/3757] lr: 1.000e-02 eta: 22:06:04 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 5.6549 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7766 loss: 1.7766 2022/06/29 21:11:53 - mmengine - INFO - Epoch(train) [24][300/3757] lr: 1.000e-02 eta: 22:05:58 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 5.9890 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6324 loss: 1.6324 2022/06/29 21:11:58 - mmengine - INFO - Epoch(train) [24][320/3757] lr: 1.000e-02 eta: 22:05:52 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 6.0202 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1583 loss: 2.1583 2022/06/29 21:12:03 - mmengine - INFO - Epoch(train) [24][340/3757] lr: 1.000e-02 eta: 22:05:46 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.4090 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0609 loss: 2.0609 2022/06/29 21:12:09 - mmengine - INFO - Epoch(train) [24][360/3757] lr: 1.000e-02 eta: 22:05:40 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 7.2536 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9321 loss: 1.9321 2022/06/29 21:12:14 - mmengine - INFO - Epoch(train) [24][380/3757] lr: 1.000e-02 eta: 22:05:35 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 4.1586 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1656 loss: 2.1656 2022/06/29 21:12:20 - mmengine - INFO - Epoch(train) [24][400/3757] lr: 1.000e-02 eta: 22:05:30 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.3963 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8116 loss: 1.8116 2022/06/29 21:12:26 - mmengine - INFO - Epoch(train) [24][420/3757] lr: 1.000e-02 eta: 22:05:26 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.9023 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0703 loss: 2.0703 2022/06/29 21:12:32 - mmengine - INFO - Epoch(train) [24][440/3757] lr: 1.000e-02 eta: 22:05:20 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.1473 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8010 loss: 1.8010 2022/06/29 21:12:37 - mmengine - INFO - Epoch(train) [24][460/3757] lr: 1.000e-02 eta: 22:05:15 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.3314 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7514 loss: 1.7514 2022/06/29 21:12:43 - mmengine - INFO - Epoch(train) [24][480/3757] lr: 1.000e-02 eta: 22:05:10 time: 0.244 data_time: 0.014 memory: 6404 grad_norm: 6.2701 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 2.0173 loss: 2.0173 2022/06/29 21:12:48 - mmengine - INFO - Epoch(train) [24][500/3757] lr: 1.000e-02 eta: 22:05:05 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.7125 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8508 loss: 1.8508 2022/06/29 21:12:54 - mmengine - INFO - Epoch(train) [24][520/3757] lr: 1.000e-02 eta: 22:04:58 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.1525 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6446 loss: 1.6446 2022/06/29 21:12:59 - mmengine - INFO - Epoch(train) [24][540/3757] lr: 1.000e-02 eta: 22:04:51 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.9060 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7520 loss: 1.7520 2022/06/29 21:13:04 - mmengine - INFO - Epoch(train) [24][560/3757] lr: 1.000e-02 eta: 22:04:46 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.5352 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1625 loss: 2.1625 2022/06/29 21:13:10 - mmengine - INFO - Epoch(train) [24][580/3757] lr: 1.000e-02 eta: 22:04:41 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 4.1863 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8708 loss: 1.8708 2022/06/29 21:13:13 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 21:13:16 - mmengine - INFO - Epoch(train) [24][600/3757] lr: 1.000e-02 eta: 22:04:36 time: 0.256 data_time: 0.015 memory: 6404 grad_norm: 5.8451 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1566 loss: 2.1566 2022/06/29 21:13:21 - mmengine - INFO - Epoch(train) [24][620/3757] lr: 1.000e-02 eta: 22:04:30 time: 0.241 data_time: 0.011 memory: 6404 grad_norm: 5.6334 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7082 loss: 1.7082 2022/06/29 21:13:27 - mmengine - INFO - Epoch(train) [24][640/3757] lr: 1.000e-02 eta: 22:04:25 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.3665 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9177 loss: 1.9177 2022/06/29 21:13:32 - mmengine - INFO - Epoch(train) [24][660/3757] lr: 1.000e-02 eta: 22:04:18 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.4106 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9257 loss: 1.9257 2022/06/29 21:13:37 - mmengine - INFO - Epoch(train) [24][680/3757] lr: 1.000e-02 eta: 22:04:13 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 6.1847 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1469 loss: 2.1469 2022/06/29 21:13:43 - mmengine - INFO - Epoch(train) [24][700/3757] lr: 1.000e-02 eta: 22:04:07 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.5046 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0014 loss: 2.0014 2022/06/29 21:13:48 - mmengine - INFO - Epoch(train) [24][720/3757] lr: 1.000e-02 eta: 22:04:01 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 6.7658 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9480 loss: 1.9480 2022/06/29 21:13:54 - mmengine - INFO - Epoch(train) [24][740/3757] lr: 1.000e-02 eta: 22:03:57 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 5.3283 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8280 loss: 1.8280 2022/06/29 21:14:00 - mmengine - INFO - Epoch(train) [24][760/3757] lr: 1.000e-02 eta: 22:03:51 time: 0.243 data_time: 0.016 memory: 6404 grad_norm: 5.4055 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8976 loss: 1.8976 2022/06/29 21:14:05 - mmengine - INFO - Epoch(train) [24][780/3757] lr: 1.000e-02 eta: 22:03:45 time: 0.252 data_time: 0.018 memory: 6404 grad_norm: 5.7589 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8970 loss: 1.8970 2022/06/29 21:14:10 - mmengine - INFO - Epoch(train) [24][800/3757] lr: 1.000e-02 eta: 22:03:40 time: 0.246 data_time: 0.013 memory: 6404 grad_norm: 5.7218 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6927 loss: 1.6927 2022/06/29 21:14:16 - mmengine - INFO - Epoch(train) [24][820/3757] lr: 1.000e-02 eta: 22:03:35 time: 0.256 data_time: 0.020 memory: 6404 grad_norm: 5.5870 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9164 loss: 1.9164 2022/06/29 21:14:22 - mmengine - INFO - Epoch(train) [24][840/3757] lr: 1.000e-02 eta: 22:03:29 time: 0.241 data_time: 0.017 memory: 6404 grad_norm: 4.9867 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1561 loss: 2.1561 2022/06/29 21:14:27 - mmengine - INFO - Epoch(train) [24][860/3757] lr: 1.000e-02 eta: 22:03:25 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 5.7918 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1414 loss: 2.1414 2022/06/29 21:14:33 - mmengine - INFO - Epoch(train) [24][880/3757] lr: 1.000e-02 eta: 22:03:19 time: 0.251 data_time: 0.022 memory: 6404 grad_norm: 5.6843 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0250 loss: 2.0250 2022/06/29 21:14:38 - mmengine - INFO - Epoch(train) [24][900/3757] lr: 1.000e-02 eta: 22:03:13 time: 0.242 data_time: 0.028 memory: 6404 grad_norm: 4.9261 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4395 loss: 2.4395 2022/06/29 21:14:44 - mmengine - INFO - Epoch(train) [24][920/3757] lr: 1.000e-02 eta: 22:03:08 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 5.5611 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1486 loss: 2.1486 2022/06/29 21:14:50 - mmengine - INFO - Epoch(train) [24][940/3757] lr: 1.000e-02 eta: 22:03:04 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 5.1584 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2087 loss: 2.2087 2022/06/29 21:14:55 - mmengine - INFO - Epoch(train) [24][960/3757] lr: 1.000e-02 eta: 22:02:58 time: 0.527 data_time: 0.020 memory: 6404 grad_norm: 4.8626 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0445 loss: 2.0445 2022/06/29 21:15:00 - mmengine - INFO - Epoch(train) [24][980/3757] lr: 1.000e-02 eta: 22:02:51 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 5.4512 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0813 loss: 2.0813 2022/06/29 21:15:06 - mmengine - INFO - Epoch(train) [24][1000/3757] lr: 1.000e-02 eta: 22:02:46 time: 0.249 data_time: 0.024 memory: 6404 grad_norm: 5.8341 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6938 loss: 1.6938 2022/06/29 21:15:11 - mmengine - INFO - Epoch(train) [24][1020/3757] lr: 1.000e-02 eta: 22:02:39 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 5.2081 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2003 loss: 2.2003 2022/06/29 21:15:17 - mmengine - INFO - Epoch(train) [24][1040/3757] lr: 1.000e-02 eta: 22:02:34 time: 0.252 data_time: 0.017 memory: 6404 grad_norm: 6.2408 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1627 loss: 2.1627 2022/06/29 21:15:22 - mmengine - INFO - Epoch(train) [24][1060/3757] lr: 1.000e-02 eta: 22:02:28 time: 0.242 data_time: 0.011 memory: 6404 grad_norm: 6.0316 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8718 loss: 1.8718 2022/06/29 21:15:28 - mmengine - INFO - Epoch(train) [24][1080/3757] lr: 1.000e-02 eta: 22:02:24 time: 0.260 data_time: 0.006 memory: 6404 grad_norm: 5.9629 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5904 loss: 1.5904 2022/06/29 21:15:33 - mmengine - INFO - Epoch(train) [24][1100/3757] lr: 1.000e-02 eta: 22:02:18 time: 0.251 data_time: 0.016 memory: 6404 grad_norm: 5.2521 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0141 loss: 2.0141 2022/06/29 21:15:39 - mmengine - INFO - Epoch(train) [24][1120/3757] lr: 1.000e-02 eta: 22:02:14 time: 0.246 data_time: 0.017 memory: 6404 grad_norm: 5.0539 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2560 loss: 2.2560 2022/06/29 21:15:45 - mmengine - INFO - Epoch(train) [24][1140/3757] lr: 1.000e-02 eta: 22:02:09 time: 0.382 data_time: 0.014 memory: 6404 grad_norm: 5.3626 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1070 loss: 2.1070 2022/06/29 21:15:50 - mmengine - INFO - Epoch(train) [24][1160/3757] lr: 1.000e-02 eta: 22:02:03 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 5.2975 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9552 loss: 1.9552 2022/06/29 21:15:56 - mmengine - INFO - Epoch(train) [24][1180/3757] lr: 1.000e-02 eta: 22:01:58 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 4.7822 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8737 loss: 1.8737 2022/06/29 21:16:01 - mmengine - INFO - Epoch(train) [24][1200/3757] lr: 1.000e-02 eta: 22:01:52 time: 0.246 data_time: 0.046 memory: 6404 grad_norm: 5.5565 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9222 loss: 1.9222 2022/06/29 21:16:07 - mmengine - INFO - Epoch(train) [24][1220/3757] lr: 1.000e-02 eta: 22:01:47 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.7015 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0267 loss: 2.0267 2022/06/29 21:16:12 - mmengine - INFO - Epoch(train) [24][1240/3757] lr: 1.000e-02 eta: 22:01:40 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.4408 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7993 loss: 1.7993 2022/06/29 21:16:17 - mmengine - INFO - Epoch(train) [24][1260/3757] lr: 1.000e-02 eta: 22:01:33 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 5.4970 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0515 loss: 2.0515 2022/06/29 21:16:23 - mmengine - INFO - Epoch(train) [24][1280/3757] lr: 1.000e-02 eta: 22:01:27 time: 0.236 data_time: 0.012 memory: 6404 grad_norm: 5.8015 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5481 loss: 1.5481 2022/06/29 21:16:29 - mmengine - INFO - Epoch(train) [24][1300/3757] lr: 1.000e-02 eta: 22:01:24 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.6718 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5705 loss: 1.5705 2022/06/29 21:16:34 - mmengine - INFO - Epoch(train) [24][1320/3757] lr: 1.000e-02 eta: 22:01:17 time: 0.254 data_time: 0.017 memory: 6404 grad_norm: 5.9529 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3093 loss: 2.3093 2022/06/29 21:16:39 - mmengine - INFO - Epoch(train) [24][1340/3757] lr: 1.000e-02 eta: 22:01:11 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 6.4704 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3537 loss: 2.3537 2022/06/29 21:16:45 - mmengine - INFO - Epoch(train) [24][1360/3757] lr: 1.000e-02 eta: 22:01:05 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 5.1903 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4696 loss: 1.4696 2022/06/29 21:16:50 - mmengine - INFO - Epoch(train) [24][1380/3757] lr: 1.000e-02 eta: 22:00:59 time: 0.262 data_time: 0.006 memory: 6404 grad_norm: 5.2307 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1305 loss: 2.1305 2022/06/29 21:16:56 - mmengine - INFO - Epoch(train) [24][1400/3757] lr: 1.000e-02 eta: 22:00:55 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 6.6289 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.8699 loss: 1.8699 2022/06/29 21:17:01 - mmengine - INFO - Epoch(train) [24][1420/3757] lr: 1.000e-02 eta: 22:00:50 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 6.0872 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8652 loss: 1.8652 2022/06/29 21:17:08 - mmengine - INFO - Epoch(train) [24][1440/3757] lr: 1.000e-02 eta: 22:00:46 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 5.3195 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0974 loss: 2.0974 2022/06/29 21:17:13 - mmengine - INFO - Epoch(train) [24][1460/3757] lr: 1.000e-02 eta: 22:00:39 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.3815 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4736 loss: 2.4736 2022/06/29 21:17:18 - mmengine - INFO - Epoch(train) [24][1480/3757] lr: 1.000e-02 eta: 22:00:33 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 5.7467 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0179 loss: 2.0179 2022/06/29 21:17:23 - mmengine - INFO - Epoch(train) [24][1500/3757] lr: 1.000e-02 eta: 22:00:27 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 5.8851 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3748 loss: 2.3748 2022/06/29 21:17:29 - mmengine - INFO - Epoch(train) [24][1520/3757] lr: 1.000e-02 eta: 22:00:22 time: 0.268 data_time: 0.009 memory: 6404 grad_norm: 4.9559 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7618 loss: 1.7618 2022/06/29 21:17:35 - mmengine - INFO - Epoch(train) [24][1540/3757] lr: 1.000e-02 eta: 22:00:18 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.4788 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3394 loss: 2.3394 2022/06/29 21:17:40 - mmengine - INFO - Epoch(train) [24][1560/3757] lr: 1.000e-02 eta: 22:00:12 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 4.5222 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0540 loss: 2.0540 2022/06/29 21:17:46 - mmengine - INFO - Epoch(train) [24][1580/3757] lr: 1.000e-02 eta: 22:00:07 time: 0.272 data_time: 0.007 memory: 6404 grad_norm: 5.5608 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1678 loss: 2.1678 2022/06/29 21:17:48 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 21:17:51 - mmengine - INFO - Epoch(train) [24][1600/3757] lr: 1.000e-02 eta: 22:00:01 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.8169 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1373 loss: 2.1373 2022/06/29 21:17:57 - mmengine - INFO - Epoch(train) [24][1620/3757] lr: 1.000e-02 eta: 21:59:55 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 5.2758 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8739 loss: 1.8739 2022/06/29 21:18:02 - mmengine - INFO - Epoch(train) [24][1640/3757] lr: 1.000e-02 eta: 21:59:50 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.7266 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0503 loss: 2.0503 2022/06/29 21:18:08 - mmengine - INFO - Epoch(train) [24][1660/3757] lr: 1.000e-02 eta: 21:59:45 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.3652 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9113 loss: 1.9113 2022/06/29 21:18:13 - mmengine - INFO - Epoch(train) [24][1680/3757] lr: 1.000e-02 eta: 21:59:39 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 5.6422 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2102 loss: 2.2102 2022/06/29 21:18:19 - mmengine - INFO - Epoch(train) [24][1700/3757] lr: 1.000e-02 eta: 21:59:33 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.0466 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7896 loss: 1.7896 2022/06/29 21:18:24 - mmengine - INFO - Epoch(train) [24][1720/3757] lr: 1.000e-02 eta: 21:59:27 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.4741 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7647 loss: 1.7647 2022/06/29 21:18:30 - mmengine - INFO - Epoch(train) [24][1740/3757] lr: 1.000e-02 eta: 21:59:22 time: 0.252 data_time: 0.015 memory: 6404 grad_norm: 5.4123 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0142 loss: 2.0142 2022/06/29 21:18:35 - mmengine - INFO - Epoch(train) [24][1760/3757] lr: 1.000e-02 eta: 21:59:15 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 6.3224 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1999 loss: 2.1999 2022/06/29 21:18:41 - mmengine - INFO - Epoch(train) [24][1780/3757] lr: 1.000e-02 eta: 21:59:10 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 6.0376 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3680 loss: 2.3680 2022/06/29 21:18:46 - mmengine - INFO - Epoch(train) [24][1800/3757] lr: 1.000e-02 eta: 21:59:04 time: 0.268 data_time: 0.014 memory: 6404 grad_norm: 5.0145 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3998 loss: 2.3998 2022/06/29 21:18:51 - mmengine - INFO - Epoch(train) [24][1820/3757] lr: 1.000e-02 eta: 21:58:58 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 5.8864 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3273 loss: 2.3273 2022/06/29 21:18:57 - mmengine - INFO - Epoch(train) [24][1840/3757] lr: 1.000e-02 eta: 21:58:53 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.3056 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7754 loss: 1.7754 2022/06/29 21:19:02 - mmengine - INFO - Epoch(train) [24][1860/3757] lr: 1.000e-02 eta: 21:58:46 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 4.8425 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7583 loss: 1.7583 2022/06/29 21:19:08 - mmengine - INFO - Epoch(train) [24][1880/3757] lr: 1.000e-02 eta: 21:58:43 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 6.2408 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6380 loss: 1.6380 2022/06/29 21:19:13 - mmengine - INFO - Epoch(train) [24][1900/3757] lr: 1.000e-02 eta: 21:58:36 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.0685 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0753 loss: 2.0753 2022/06/29 21:19:19 - mmengine - INFO - Epoch(train) [24][1920/3757] lr: 1.000e-02 eta: 21:58:30 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 5.8963 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7456 loss: 1.7456 2022/06/29 21:19:24 - mmengine - INFO - Epoch(train) [24][1940/3757] lr: 1.000e-02 eta: 21:58:25 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 5.3252 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7815 loss: 1.7815 2022/06/29 21:19:30 - mmengine - INFO - Epoch(train) [24][1960/3757] lr: 1.000e-02 eta: 21:58:20 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.0351 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9710 loss: 1.9710 2022/06/29 21:19:35 - mmengine - INFO - Epoch(train) [24][1980/3757] lr: 1.000e-02 eta: 21:58:14 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 6.4899 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7012 loss: 1.7012 2022/06/29 21:19:41 - mmengine - INFO - Epoch(train) [24][2000/3757] lr: 1.000e-02 eta: 21:58:09 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 4.8168 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7404 loss: 1.7404 2022/06/29 21:19:47 - mmengine - INFO - Epoch(train) [24][2020/3757] lr: 1.000e-02 eta: 21:58:04 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.7576 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2062 loss: 2.2062 2022/06/29 21:19:52 - mmengine - INFO - Epoch(train) [24][2040/3757] lr: 1.000e-02 eta: 21:57:58 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.2510 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8568 loss: 1.8568 2022/06/29 21:19:57 - mmengine - INFO - Epoch(train) [24][2060/3757] lr: 1.000e-02 eta: 21:57:52 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.0122 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8724 loss: 1.8724 2022/06/29 21:20:03 - mmengine - INFO - Epoch(train) [24][2080/3757] lr: 1.000e-02 eta: 21:57:46 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 5.5264 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3715 loss: 2.3715 2022/06/29 21:20:09 - mmengine - INFO - Epoch(train) [24][2100/3757] lr: 1.000e-02 eta: 21:57:42 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.1131 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0052 loss: 2.0052 2022/06/29 21:20:14 - mmengine - INFO - Epoch(train) [24][2120/3757] lr: 1.000e-02 eta: 21:57:35 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.4613 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1405 loss: 2.1405 2022/06/29 21:20:20 - mmengine - INFO - Epoch(train) [24][2140/3757] lr: 1.000e-02 eta: 21:57:31 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 6.0870 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1049 loss: 2.1049 2022/06/29 21:20:25 - mmengine - INFO - Epoch(train) [24][2160/3757] lr: 1.000e-02 eta: 21:57:25 time: 0.242 data_time: 0.009 memory: 6404 grad_norm: 5.4763 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4106 loss: 2.4106 2022/06/29 21:20:30 - mmengine - INFO - Epoch(train) [24][2180/3757] lr: 1.000e-02 eta: 21:57:19 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 5.8851 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0359 loss: 2.0359 2022/06/29 21:20:37 - mmengine - INFO - Epoch(train) [24][2200/3757] lr: 1.000e-02 eta: 21:57:16 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 6.0611 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1148 loss: 2.1148 2022/06/29 21:20:42 - mmengine - INFO - Epoch(train) [24][2220/3757] lr: 1.000e-02 eta: 21:57:09 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 5.3144 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9855 loss: 1.9855 2022/06/29 21:20:47 - mmengine - INFO - Epoch(train) [24][2240/3757] lr: 1.000e-02 eta: 21:57:02 time: 0.252 data_time: 0.015 memory: 6404 grad_norm: 5.1918 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8415 loss: 1.8415 2022/06/29 21:20:52 - mmengine - INFO - Epoch(train) [24][2260/3757] lr: 1.000e-02 eta: 21:56:55 time: 0.255 data_time: 0.018 memory: 6404 grad_norm: 5.4184 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9119 loss: 1.9119 2022/06/29 21:20:58 - mmengine - INFO - Epoch(train) [24][2280/3757] lr: 1.000e-02 eta: 21:56:50 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 5.8869 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9692 loss: 1.9692 2022/06/29 21:21:03 - mmengine - INFO - Epoch(train) [24][2300/3757] lr: 1.000e-02 eta: 21:56:43 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.5673 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7595 loss: 1.7595 2022/06/29 21:21:08 - mmengine - INFO - Epoch(train) [24][2320/3757] lr: 1.000e-02 eta: 21:56:37 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 5.2363 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1036 loss: 2.1036 2022/06/29 21:21:13 - mmengine - INFO - Epoch(train) [24][2340/3757] lr: 1.000e-02 eta: 21:56:30 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 5.5628 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1591 loss: 2.1591 2022/06/29 21:21:18 - mmengine - INFO - Epoch(train) [24][2360/3757] lr: 1.000e-02 eta: 21:56:24 time: 0.246 data_time: 0.019 memory: 6404 grad_norm: 5.1507 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0378 loss: 2.0378 2022/06/29 21:21:24 - mmengine - INFO - Epoch(train) [24][2380/3757] lr: 1.000e-02 eta: 21:56:19 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.2565 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3101 loss: 2.3101 2022/06/29 21:21:30 - mmengine - INFO - Epoch(train) [24][2400/3757] lr: 1.000e-02 eta: 21:56:14 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 5.3593 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1876 loss: 2.1876 2022/06/29 21:21:35 - mmengine - INFO - Epoch(train) [24][2420/3757] lr: 1.000e-02 eta: 21:56:09 time: 0.272 data_time: 0.019 memory: 6404 grad_norm: 6.2652 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2729 loss: 2.2729 2022/06/29 21:21:41 - mmengine - INFO - Epoch(train) [24][2440/3757] lr: 1.000e-02 eta: 21:56:02 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 5.5218 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9439 loss: 1.9439 2022/06/29 21:21:46 - mmengine - INFO - Epoch(train) [24][2460/3757] lr: 1.000e-02 eta: 21:55:56 time: 0.401 data_time: 0.008 memory: 6404 grad_norm: 5.5068 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1061 loss: 2.1061 2022/06/29 21:21:51 - mmengine - INFO - Epoch(train) [24][2480/3757] lr: 1.000e-02 eta: 21:55:50 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 6.1097 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9789 loss: 1.9789 2022/06/29 21:21:57 - mmengine - INFO - Epoch(train) [24][2500/3757] lr: 1.000e-02 eta: 21:55:46 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 6.0796 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7993 loss: 1.7993 2022/06/29 21:22:03 - mmengine - INFO - Epoch(train) [24][2520/3757] lr: 1.000e-02 eta: 21:55:41 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 6.0112 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8559 loss: 1.8559 2022/06/29 21:22:08 - mmengine - INFO - Epoch(train) [24][2540/3757] lr: 1.000e-02 eta: 21:55:34 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.7847 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8819 loss: 1.8819 2022/06/29 21:22:13 - mmengine - INFO - Epoch(train) [24][2560/3757] lr: 1.000e-02 eta: 21:55:28 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 5.8112 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0213 loss: 2.0213 2022/06/29 21:22:19 - mmengine - INFO - Epoch(train) [24][2580/3757] lr: 1.000e-02 eta: 21:55:23 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.1040 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1907 loss: 2.1907 2022/06/29 21:22:22 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 21:22:25 - mmengine - INFO - Epoch(train) [24][2600/3757] lr: 1.000e-02 eta: 21:55:19 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.5761 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7361 loss: 1.7361 2022/06/29 21:22:30 - mmengine - INFO - Epoch(train) [24][2620/3757] lr: 1.000e-02 eta: 21:55:12 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 4.9830 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8895 loss: 1.8895 2022/06/29 21:22:35 - mmengine - INFO - Epoch(train) [24][2640/3757] lr: 1.000e-02 eta: 21:55:06 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.5001 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9035 loss: 1.9035 2022/06/29 21:22:41 - mmengine - INFO - Epoch(train) [24][2660/3757] lr: 1.000e-02 eta: 21:55:01 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 5.9767 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8126 loss: 1.8126 2022/06/29 21:22:47 - mmengine - INFO - Epoch(train) [24][2680/3757] lr: 1.000e-02 eta: 21:54:58 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.1029 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8197 loss: 1.8197 2022/06/29 21:22:52 - mmengine - INFO - Epoch(train) [24][2700/3757] lr: 1.000e-02 eta: 21:54:51 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 5.0967 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2789 loss: 2.2789 2022/06/29 21:22:58 - mmengine - INFO - Epoch(train) [24][2720/3757] lr: 1.000e-02 eta: 21:54:46 time: 0.246 data_time: 0.012 memory: 6404 grad_norm: 6.2962 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7875 loss: 1.7875 2022/06/29 21:23:03 - mmengine - INFO - Epoch(train) [24][2740/3757] lr: 1.000e-02 eta: 21:54:40 time: 0.247 data_time: 0.013 memory: 6404 grad_norm: 5.8480 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9988 loss: 1.9988 2022/06/29 21:23:09 - mmengine - INFO - Epoch(train) [24][2760/3757] lr: 1.000e-02 eta: 21:54:34 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.9126 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8868 loss: 1.8868 2022/06/29 21:23:14 - mmengine - INFO - Epoch(train) [24][2780/3757] lr: 1.000e-02 eta: 21:54:29 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.8844 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0577 loss: 2.0577 2022/06/29 21:23:20 - mmengine - INFO - Epoch(train) [24][2800/3757] lr: 1.000e-02 eta: 21:54:24 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 5.8933 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9380 loss: 1.9380 2022/06/29 21:23:25 - mmengine - INFO - Epoch(train) [24][2820/3757] lr: 1.000e-02 eta: 21:54:18 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 5.5035 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0559 loss: 2.0559 2022/06/29 21:23:31 - mmengine - INFO - Epoch(train) [24][2840/3757] lr: 1.000e-02 eta: 21:54:12 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.4443 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9099 loss: 1.9099 2022/06/29 21:23:36 - mmengine - INFO - Epoch(train) [24][2860/3757] lr: 1.000e-02 eta: 21:54:06 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.1428 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0726 loss: 2.0726 2022/06/29 21:23:41 - mmengine - INFO - Epoch(train) [24][2880/3757] lr: 1.000e-02 eta: 21:53:59 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 6.5882 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7644 loss: 1.7644 2022/06/29 21:23:48 - mmengine - INFO - Epoch(train) [24][2900/3757] lr: 1.000e-02 eta: 21:53:59 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.1160 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1374 loss: 2.1374 2022/06/29 21:23:53 - mmengine - INFO - Epoch(train) [24][2920/3757] lr: 1.000e-02 eta: 21:53:52 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 6.4607 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3301 loss: 2.3301 2022/06/29 21:23:59 - mmengine - INFO - Epoch(train) [24][2940/3757] lr: 1.000e-02 eta: 21:53:46 time: 0.249 data_time: 0.016 memory: 6404 grad_norm: 5.2708 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7547 loss: 1.7547 2022/06/29 21:24:04 - mmengine - INFO - Epoch(train) [24][2960/3757] lr: 1.000e-02 eta: 21:53:39 time: 0.254 data_time: 0.020 memory: 6404 grad_norm: 5.8936 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7278 loss: 1.7278 2022/06/29 21:24:09 - mmengine - INFO - Epoch(train) [24][2980/3757] lr: 1.000e-02 eta: 21:53:33 time: 0.255 data_time: 0.014 memory: 6404 grad_norm: 5.0391 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5019 loss: 2.5019 2022/06/29 21:24:14 - mmengine - INFO - Epoch(train) [24][3000/3757] lr: 1.000e-02 eta: 21:53:26 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 5.3499 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8460 loss: 1.8460 2022/06/29 21:24:20 - mmengine - INFO - Epoch(train) [24][3020/3757] lr: 1.000e-02 eta: 21:53:20 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 5.2014 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8076 loss: 1.8076 2022/06/29 21:24:26 - mmengine - INFO - Epoch(train) [24][3040/3757] lr: 1.000e-02 eta: 21:53:17 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 5.0362 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2996 loss: 2.2996 2022/06/29 21:24:31 - mmengine - INFO - Epoch(train) [24][3060/3757] lr: 1.000e-02 eta: 21:53:10 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.1674 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8917 loss: 1.8917 2022/06/29 21:24:37 - mmengine - INFO - Epoch(train) [24][3080/3757] lr: 1.000e-02 eta: 21:53:05 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.4971 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9001 loss: 1.9001 2022/06/29 21:24:42 - mmengine - INFO - Epoch(train) [24][3100/3757] lr: 1.000e-02 eta: 21:53:01 time: 0.246 data_time: 0.012 memory: 6404 grad_norm: 5.3131 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1325 loss: 2.1325 2022/06/29 21:24:48 - mmengine - INFO - Epoch(train) [24][3120/3757] lr: 1.000e-02 eta: 21:52:55 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.3559 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4496 loss: 2.4496 2022/06/29 21:24:53 - mmengine - INFO - Epoch(train) [24][3140/3757] lr: 1.000e-02 eta: 21:52:50 time: 0.245 data_time: 0.016 memory: 6404 grad_norm: 4.9847 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4203 loss: 2.4203 2022/06/29 21:24:59 - mmengine - INFO - Epoch(train) [24][3160/3757] lr: 1.000e-02 eta: 21:52:43 time: 0.247 data_time: 0.014 memory: 6404 grad_norm: 5.9448 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9839 loss: 1.9839 2022/06/29 21:25:04 - mmengine - INFO - Epoch(train) [24][3180/3757] lr: 1.000e-02 eta: 21:52:37 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.1629 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1184 loss: 2.1184 2022/06/29 21:25:10 - mmengine - INFO - Epoch(train) [24][3200/3757] lr: 1.000e-02 eta: 21:52:32 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.5759 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6900 loss: 1.6900 2022/06/29 21:25:16 - mmengine - INFO - Epoch(train) [24][3220/3757] lr: 1.000e-02 eta: 21:52:28 time: 0.249 data_time: 0.019 memory: 6404 grad_norm: 6.1550 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7656 loss: 1.7656 2022/06/29 21:25:21 - mmengine - INFO - Epoch(train) [24][3240/3757] lr: 1.000e-02 eta: 21:52:23 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.0795 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4752 loss: 2.4752 2022/06/29 21:25:27 - mmengine - INFO - Epoch(train) [24][3260/3757] lr: 1.000e-02 eta: 21:52:18 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 5.3272 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9561 loss: 1.9561 2022/06/29 21:25:32 - mmengine - INFO - Epoch(train) [24][3280/3757] lr: 1.000e-02 eta: 21:52:12 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.4206 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7151 loss: 1.7151 2022/06/29 21:25:38 - mmengine - INFO - Epoch(train) [24][3300/3757] lr: 1.000e-02 eta: 21:52:05 time: 0.246 data_time: 0.013 memory: 6404 grad_norm: 6.3726 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2110 loss: 2.2110 2022/06/29 21:25:43 - mmengine - INFO - Epoch(train) [24][3320/3757] lr: 1.000e-02 eta: 21:52:01 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 6.3352 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1944 loss: 2.1944 2022/06/29 21:25:49 - mmengine - INFO - Epoch(train) [24][3340/3757] lr: 1.000e-02 eta: 21:51:55 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 6.2598 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1305 loss: 2.1305 2022/06/29 21:25:54 - mmengine - INFO - Epoch(train) [24][3360/3757] lr: 1.000e-02 eta: 21:51:49 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 5.1832 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9937 loss: 1.9937 2022/06/29 21:26:00 - mmengine - INFO - Epoch(train) [24][3380/3757] lr: 1.000e-02 eta: 21:51:43 time: 0.247 data_time: 0.022 memory: 6404 grad_norm: 5.5679 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9496 loss: 1.9496 2022/06/29 21:26:05 - mmengine - INFO - Epoch(train) [24][3400/3757] lr: 1.000e-02 eta: 21:51:38 time: 0.250 data_time: 0.014 memory: 6404 grad_norm: 6.5514 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3655 loss: 2.3655 2022/06/29 21:26:10 - mmengine - INFO - Epoch(train) [24][3420/3757] lr: 1.000e-02 eta: 21:51:31 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 4.6244 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0406 loss: 2.0406 2022/06/29 21:26:17 - mmengine - INFO - Epoch(train) [24][3440/3757] lr: 1.000e-02 eta: 21:51:28 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.3343 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2772 loss: 2.2772 2022/06/29 21:26:22 - mmengine - INFO - Epoch(train) [24][3460/3757] lr: 1.000e-02 eta: 21:51:22 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 4.8840 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7366 loss: 1.7366 2022/06/29 21:26:27 - mmengine - INFO - Epoch(train) [24][3480/3757] lr: 1.000e-02 eta: 21:51:15 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.7518 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8558 loss: 1.8558 2022/06/29 21:26:33 - mmengine - INFO - Epoch(train) [24][3500/3757] lr: 1.000e-02 eta: 21:51:10 time: 0.263 data_time: 0.010 memory: 6404 grad_norm: 5.6289 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7853 loss: 1.7853 2022/06/29 21:26:38 - mmengine - INFO - Epoch(train) [24][3520/3757] lr: 1.000e-02 eta: 21:51:05 time: 0.261 data_time: 0.016 memory: 6404 grad_norm: 5.0945 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0855 loss: 2.0855 2022/06/29 21:26:43 - mmengine - INFO - Epoch(train) [24][3540/3757] lr: 1.000e-02 eta: 21:50:58 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 5.0910 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2745 loss: 2.2745 2022/06/29 21:26:49 - mmengine - INFO - Epoch(train) [24][3560/3757] lr: 1.000e-02 eta: 21:50:52 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 5.5311 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1968 loss: 2.1968 2022/06/29 21:26:54 - mmengine - INFO - Epoch(train) [24][3580/3757] lr: 1.000e-02 eta: 21:50:47 time: 0.255 data_time: 0.031 memory: 6404 grad_norm: 5.3678 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7460 loss: 2.7460 2022/06/29 21:26:57 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 21:27:00 - mmengine - INFO - Epoch(train) [24][3600/3757] lr: 1.000e-02 eta: 21:50:42 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 5.5448 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9896 loss: 1.9896 2022/06/29 21:27:06 - mmengine - INFO - Epoch(train) [24][3620/3757] lr: 1.000e-02 eta: 21:50:37 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.5391 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2759 loss: 2.2759 2022/06/29 21:27:11 - mmengine - INFO - Epoch(train) [24][3640/3757] lr: 1.000e-02 eta: 21:50:32 time: 0.248 data_time: 0.031 memory: 6404 grad_norm: 5.5877 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8599 loss: 1.8599 2022/06/29 21:27:17 - mmengine - INFO - Epoch(train) [24][3660/3757] lr: 1.000e-02 eta: 21:50:26 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.6337 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3108 loss: 2.3108 2022/06/29 21:27:22 - mmengine - INFO - Epoch(train) [24][3680/3757] lr: 1.000e-02 eta: 21:50:19 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 5.0271 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9654 loss: 1.9654 2022/06/29 21:27:27 - mmengine - INFO - Epoch(train) [24][3700/3757] lr: 1.000e-02 eta: 21:50:13 time: 0.310 data_time: 0.013 memory: 6404 grad_norm: 5.5387 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3438 loss: 2.3438 2022/06/29 21:27:33 - mmengine - INFO - Epoch(train) [24][3720/3757] lr: 1.000e-02 eta: 21:50:08 time: 0.237 data_time: 0.009 memory: 6404 grad_norm: 6.0672 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2534 loss: 2.2534 2022/06/29 21:27:38 - mmengine - INFO - Epoch(train) [24][3740/3757] lr: 1.000e-02 eta: 21:50:03 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 5.8163 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0979 loss: 2.0979 2022/06/29 21:27:42 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 21:27:50 - mmengine - INFO - Epoch(val) [24][20/310] eta: 0:01:30 time: 0.090 data_time: 0.010 memory: 6404 2022/06/29 21:27:55 - mmengine - INFO - Epoch(val) [24][40/310] eta: 0:01:14 time: 0.170 data_time: 0.092 memory: 1479 2022/06/29 21:27:59 - mmengine - INFO - Epoch(val) [24][60/310] eta: 0:00:26 time: 0.085 data_time: 0.005 memory: 1479 2022/06/29 21:28:05 - mmengine - INFO - Epoch(val) [24][80/310] eta: 0:01:12 time: 0.100 data_time: 0.011 memory: 1479 2022/06/29 21:28:12 - mmengine - INFO - Epoch(val) [24][100/310] eta: 0:01:01 time: 0.512 data_time: 0.423 memory: 1479 2022/06/29 21:28:15 - mmengine - INFO - Epoch(val) [24][120/310] eta: 0:00:25 time: 0.089 data_time: 0.008 memory: 1479 2022/06/29 21:28:22 - mmengine - INFO - Epoch(val) [24][140/310] eta: 0:00:53 time: 0.081 data_time: 0.006 memory: 1479 2022/06/29 21:28:28 - mmengine - INFO - Epoch(val) [24][160/310] eta: 0:00:48 time: 0.952 data_time: 0.871 memory: 1479 2022/06/29 21:28:32 - mmengine - INFO - Epoch(val) [24][180/310] eta: 0:00:28 time: 0.077 data_time: 0.005 memory: 1479 2022/06/29 21:28:38 - mmengine - INFO - Epoch(val) [24][200/310] eta: 0:00:34 time: 0.082 data_time: 0.007 memory: 1479 2022/06/29 21:28:44 - mmengine - INFO - Epoch(val) [24][220/310] eta: 0:00:25 time: 0.082 data_time: 0.005 memory: 1479 2022/06/29 21:28:47 - mmengine - INFO - Epoch(val) [24][240/310] eta: 0:00:16 time: 0.085 data_time: 0.007 memory: 1479 2022/06/29 21:28:54 - mmengine - INFO - Epoch(val) [24][260/310] eta: 0:00:15 time: 0.096 data_time: 0.007 memory: 1479 2022/06/29 21:29:00 - mmengine - INFO - Epoch(val) [24][280/310] eta: 0:00:09 time: 0.089 data_time: 0.005 memory: 1479 2022/06/29 21:29:03 - mmengine - INFO - Epoch(val) [24][300/310] eta: 0:00:02 time: 0.081 data_time: 0.005 memory: 1479 2022/06/29 21:29:06 - mmengine - INFO - Epoch(val) [24][310/310] acc/top1: 0.5625 acc/top5: 0.8040 acc/mean1: 0.5624 2022/06/29 21:29:15 - mmengine - INFO - Epoch(train) [25][20/3757] lr: 1.000e-02 eta: 21:49:57 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.3833 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9320 loss: 1.9320 2022/06/29 21:29:21 - mmengine - INFO - Epoch(train) [25][40/3757] lr: 1.000e-02 eta: 21:49:53 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 5.9891 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7424 loss: 1.7424 2022/06/29 21:29:27 - mmengine - INFO - Epoch(train) [25][60/3757] lr: 1.000e-02 eta: 21:49:47 time: 0.407 data_time: 0.010 memory: 6404 grad_norm: 5.8029 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5089 loss: 2.5089 2022/06/29 21:29:32 - mmengine - INFO - Epoch(train) [25][80/3757] lr: 1.000e-02 eta: 21:49:41 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.0213 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0286 loss: 2.0286 2022/06/29 21:29:38 - mmengine - INFO - Epoch(train) [25][100/3757] lr: 1.000e-02 eta: 21:49:37 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.3276 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8201 loss: 1.8201 2022/06/29 21:29:43 - mmengine - INFO - Epoch(train) [25][120/3757] lr: 1.000e-02 eta: 21:49:32 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.6206 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7845 loss: 1.7845 2022/06/29 21:29:49 - mmengine - INFO - Epoch(train) [25][140/3757] lr: 1.000e-02 eta: 21:49:26 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.1896 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7071 loss: 1.7071 2022/06/29 21:29:54 - mmengine - INFO - Epoch(train) [25][160/3757] lr: 1.000e-02 eta: 21:49:20 time: 0.242 data_time: 0.008 memory: 6404 grad_norm: 5.0356 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1324 loss: 2.1324 2022/06/29 21:30:00 - mmengine - INFO - Epoch(train) [25][180/3757] lr: 1.000e-02 eta: 21:49:14 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 6.8185 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0598 loss: 2.0598 2022/06/29 21:30:05 - mmengine - INFO - Epoch(train) [25][200/3757] lr: 1.000e-02 eta: 21:49:09 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 6.1288 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.2295 loss: 2.2295 2022/06/29 21:30:11 - mmengine - INFO - Epoch(train) [25][220/3757] lr: 1.000e-02 eta: 21:49:04 time: 0.239 data_time: 0.019 memory: 6404 grad_norm: 5.5939 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8133 loss: 1.8133 2022/06/29 21:30:17 - mmengine - INFO - Epoch(train) [25][240/3757] lr: 1.000e-02 eta: 21:49:00 time: 0.277 data_time: 0.009 memory: 6404 grad_norm: 5.6166 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2290 loss: 2.2290 2022/06/29 21:30:22 - mmengine - INFO - Epoch(train) [25][260/3757] lr: 1.000e-02 eta: 21:48:53 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 6.0969 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9595 loss: 1.9595 2022/06/29 21:30:28 - mmengine - INFO - Epoch(train) [25][280/3757] lr: 1.000e-02 eta: 21:48:48 time: 0.257 data_time: 0.017 memory: 6404 grad_norm: 5.4318 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6414 loss: 1.6414 2022/06/29 21:30:33 - mmengine - INFO - Epoch(train) [25][300/3757] lr: 1.000e-02 eta: 21:48:41 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.9150 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2309 loss: 2.2309 2022/06/29 21:30:39 - mmengine - INFO - Epoch(train) [25][320/3757] lr: 1.000e-02 eta: 21:48:37 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.0800 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7899 loss: 1.7899 2022/06/29 21:30:44 - mmengine - INFO - Epoch(train) [25][340/3757] lr: 1.000e-02 eta: 21:48:31 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.5837 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6230 loss: 1.6230 2022/06/29 21:30:50 - mmengine - INFO - Epoch(train) [25][360/3757] lr: 1.000e-02 eta: 21:48:25 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 5.0290 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1395 loss: 2.1395 2022/06/29 21:30:55 - mmengine - INFO - Epoch(train) [25][380/3757] lr: 1.000e-02 eta: 21:48:20 time: 0.259 data_time: 0.006 memory: 6404 grad_norm: 5.7329 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9738 loss: 1.9738 2022/06/29 21:31:01 - mmengine - INFO - Epoch(train) [25][400/3757] lr: 1.000e-02 eta: 21:48:14 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.5706 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5365 loss: 1.5365 2022/06/29 21:31:06 - mmengine - INFO - Epoch(train) [25][420/3757] lr: 1.000e-02 eta: 21:48:09 time: 0.248 data_time: 0.018 memory: 6404 grad_norm: 5.2133 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7832 loss: 1.7832 2022/06/29 21:31:12 - mmengine - INFO - Epoch(train) [25][440/3757] lr: 1.000e-02 eta: 21:48:05 time: 0.250 data_time: 0.019 memory: 6404 grad_norm: 5.9067 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7276 loss: 1.7276 2022/06/29 21:31:17 - mmengine - INFO - Epoch(train) [25][460/3757] lr: 1.000e-02 eta: 21:47:59 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 6.0001 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8849 loss: 1.8849 2022/06/29 21:31:23 - mmengine - INFO - Epoch(train) [25][480/3757] lr: 1.000e-02 eta: 21:47:52 time: 0.242 data_time: 0.012 memory: 6404 grad_norm: 5.3600 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0198 loss: 2.0198 2022/06/29 21:31:28 - mmengine - INFO - Epoch(train) [25][500/3757] lr: 1.000e-02 eta: 21:47:46 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 5.7553 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1042 loss: 2.1042 2022/06/29 21:31:33 - mmengine - INFO - Epoch(train) [25][520/3757] lr: 1.000e-02 eta: 21:47:39 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 6.2020 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8268 loss: 1.8268 2022/06/29 21:31:39 - mmengine - INFO - Epoch(train) [25][540/3757] lr: 1.000e-02 eta: 21:47:34 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 5.5194 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0330 loss: 2.0330 2022/06/29 21:31:44 - mmengine - INFO - Epoch(train) [25][560/3757] lr: 1.000e-02 eta: 21:47:29 time: 0.244 data_time: 0.012 memory: 6404 grad_norm: 4.7590 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8379 loss: 1.8379 2022/06/29 21:31:50 - mmengine - INFO - Epoch(train) [25][580/3757] lr: 1.000e-02 eta: 21:47:24 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 5.5802 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7758 loss: 1.7758 2022/06/29 21:31:55 - mmengine - INFO - Epoch(train) [25][600/3757] lr: 1.000e-02 eta: 21:47:17 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 5.6264 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8926 loss: 1.8926 2022/06/29 21:32:01 - mmengine - INFO - Epoch(train) [25][620/3757] lr: 1.000e-02 eta: 21:47:14 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.4902 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6901 loss: 1.6901 2022/06/29 21:32:07 - mmengine - INFO - Epoch(train) [25][640/3757] lr: 1.000e-02 eta: 21:47:08 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 6.6651 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7657 loss: 1.7657 2022/06/29 21:32:12 - mmengine - INFO - Epoch(train) [25][660/3757] lr: 1.000e-02 eta: 21:47:01 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.0102 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8996 loss: 1.8996 2022/06/29 21:32:18 - mmengine - INFO - Epoch(train) [25][680/3757] lr: 1.000e-02 eta: 21:46:57 time: 0.261 data_time: 0.016 memory: 6404 grad_norm: 5.4060 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8719 loss: 1.8719 2022/06/29 21:32:23 - mmengine - INFO - Epoch(train) [25][700/3757] lr: 1.000e-02 eta: 21:46:51 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 4.7630 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5573 loss: 1.5573 2022/06/29 21:32:28 - mmengine - INFO - Epoch(train) [25][720/3757] lr: 1.000e-02 eta: 21:46:45 time: 0.251 data_time: 0.014 memory: 6404 grad_norm: 5.8300 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3200 loss: 2.3200 2022/06/29 21:32:34 - mmengine - INFO - Epoch(train) [25][740/3757] lr: 1.000e-02 eta: 21:46:39 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 5.7370 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7323 loss: 1.7323 2022/06/29 21:32:39 - mmengine - INFO - Epoch(train) [25][760/3757] lr: 1.000e-02 eta: 21:46:34 time: 0.270 data_time: 0.006 memory: 6404 grad_norm: 6.2496 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7326 loss: 1.7326 2022/06/29 21:32:45 - mmengine - INFO - Epoch(train) [25][780/3757] lr: 1.000e-02 eta: 21:46:27 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 5.0525 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8953 loss: 1.8953 2022/06/29 21:32:50 - mmengine - INFO - Epoch(train) [25][800/3757] lr: 1.000e-02 eta: 21:46:22 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 5.7889 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1127 loss: 2.1127 2022/06/29 21:32:56 - mmengine - INFO - Epoch(train) [25][820/3757] lr: 1.000e-02 eta: 21:46:16 time: 0.273 data_time: 0.010 memory: 6404 grad_norm: 5.3360 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8822 loss: 1.8822 2022/06/29 21:32:59 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 21:33:01 - mmengine - INFO - Epoch(train) [25][840/3757] lr: 1.000e-02 eta: 21:46:11 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.5526 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8263 loss: 1.8263 2022/06/29 21:33:07 - mmengine - INFO - Epoch(train) [25][860/3757] lr: 1.000e-02 eta: 21:46:07 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.9433 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2929 loss: 2.2929 2022/06/29 21:33:13 - mmengine - INFO - Epoch(train) [25][880/3757] lr: 1.000e-02 eta: 21:46:01 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 5.8072 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0049 loss: 2.0049 2022/06/29 21:33:18 - mmengine - INFO - Epoch(train) [25][900/3757] lr: 1.000e-02 eta: 21:45:56 time: 0.258 data_time: 0.015 memory: 6404 grad_norm: 5.6693 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7674 loss: 1.7674 2022/06/29 21:33:23 - mmengine - INFO - Epoch(train) [25][920/3757] lr: 1.000e-02 eta: 21:45:49 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.1665 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0955 loss: 2.0955 2022/06/29 21:33:29 - mmengine - INFO - Epoch(train) [25][940/3757] lr: 1.000e-02 eta: 21:45:43 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.5208 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8462 loss: 1.8462 2022/06/29 21:33:34 - mmengine - INFO - Epoch(train) [25][960/3757] lr: 1.000e-02 eta: 21:45:36 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 5.4944 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1979 loss: 2.1979 2022/06/29 21:33:39 - mmengine - INFO - Epoch(train) [25][980/3757] lr: 1.000e-02 eta: 21:45:30 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 5.7160 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8343 loss: 1.8343 2022/06/29 21:33:44 - mmengine - INFO - Epoch(train) [25][1000/3757] lr: 1.000e-02 eta: 21:45:24 time: 0.246 data_time: 0.013 memory: 6404 grad_norm: 4.9549 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7069 loss: 1.7069 2022/06/29 21:33:50 - mmengine - INFO - Epoch(train) [25][1020/3757] lr: 1.000e-02 eta: 21:45:19 time: 0.258 data_time: 0.013 memory: 6404 grad_norm: 5.4314 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8170 loss: 1.8170 2022/06/29 21:33:56 - mmengine - INFO - Epoch(train) [25][1040/3757] lr: 1.000e-02 eta: 21:45:14 time: 0.427 data_time: 0.008 memory: 6404 grad_norm: 5.9735 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0762 loss: 2.0762 2022/06/29 21:34:01 - mmengine - INFO - Epoch(train) [25][1060/3757] lr: 1.000e-02 eta: 21:45:08 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 6.8062 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8441 loss: 1.8441 2022/06/29 21:34:06 - mmengine - INFO - Epoch(train) [25][1080/3757] lr: 1.000e-02 eta: 21:45:02 time: 0.243 data_time: 0.014 memory: 6404 grad_norm: 6.3572 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4577 loss: 1.4577 2022/06/29 21:34:12 - mmengine - INFO - Epoch(train) [25][1100/3757] lr: 1.000e-02 eta: 21:44:57 time: 0.360 data_time: 0.012 memory: 6404 grad_norm: 5.8041 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8136 loss: 1.8136 2022/06/29 21:34:17 - mmengine - INFO - Epoch(train) [25][1120/3757] lr: 1.000e-02 eta: 21:44:51 time: 0.289 data_time: 0.007 memory: 6404 grad_norm: 4.8309 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9255 loss: 1.9255 2022/06/29 21:34:23 - mmengine - INFO - Epoch(train) [25][1140/3757] lr: 1.000e-02 eta: 21:44:45 time: 0.258 data_time: 0.016 memory: 6404 grad_norm: 5.7989 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7210 loss: 1.7210 2022/06/29 21:34:28 - mmengine - INFO - Epoch(train) [25][1160/3757] lr: 1.000e-02 eta: 21:44:39 time: 0.263 data_time: 0.009 memory: 6404 grad_norm: 5.5591 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0386 loss: 2.0386 2022/06/29 21:34:34 - mmengine - INFO - Epoch(train) [25][1180/3757] lr: 1.000e-02 eta: 21:44:33 time: 0.388 data_time: 0.010 memory: 6404 grad_norm: 5.1071 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1594 loss: 2.1594 2022/06/29 21:34:39 - mmengine - INFO - Epoch(train) [25][1200/3757] lr: 1.000e-02 eta: 21:44:29 time: 0.241 data_time: 0.022 memory: 6404 grad_norm: 5.5513 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0574 loss: 2.0574 2022/06/29 21:34:45 - mmengine - INFO - Epoch(train) [25][1220/3757] lr: 1.000e-02 eta: 21:44:23 time: 0.405 data_time: 0.006 memory: 6404 grad_norm: 5.9843 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.6641 loss: 1.6641 2022/06/29 21:34:51 - mmengine - INFO - Epoch(train) [25][1240/3757] lr: 1.000e-02 eta: 21:44:18 time: 0.333 data_time: 0.008 memory: 6404 grad_norm: 5.9451 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1352 loss: 2.1352 2022/06/29 21:34:56 - mmengine - INFO - Epoch(train) [25][1260/3757] lr: 1.000e-02 eta: 21:44:13 time: 0.248 data_time: 0.022 memory: 6404 grad_norm: 5.0897 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0432 loss: 2.0432 2022/06/29 21:35:02 - mmengine - INFO - Epoch(train) [25][1280/3757] lr: 1.000e-02 eta: 21:44:08 time: 0.605 data_time: 0.011 memory: 6404 grad_norm: 4.9637 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1785 loss: 2.1785 2022/06/29 21:35:07 - mmengine - INFO - Epoch(train) [25][1300/3757] lr: 1.000e-02 eta: 21:44:02 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.5188 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1709 loss: 2.1709 2022/06/29 21:35:13 - mmengine - INFO - Epoch(train) [25][1320/3757] lr: 1.000e-02 eta: 21:43:56 time: 0.249 data_time: 0.019 memory: 6404 grad_norm: 4.8769 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0867 loss: 2.0867 2022/06/29 21:35:18 - mmengine - INFO - Epoch(train) [25][1340/3757] lr: 1.000e-02 eta: 21:43:51 time: 0.366 data_time: 0.011 memory: 6404 grad_norm: 5.8244 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0817 loss: 2.0817 2022/06/29 21:35:24 - mmengine - INFO - Epoch(train) [25][1360/3757] lr: 1.000e-02 eta: 21:43:45 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 6.2145 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1116 loss: 2.1116 2022/06/29 21:35:29 - mmengine - INFO - Epoch(train) [25][1380/3757] lr: 1.000e-02 eta: 21:43:40 time: 0.249 data_time: 0.014 memory: 6404 grad_norm: 5.8255 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4772 loss: 1.4772 2022/06/29 21:35:35 - mmengine - INFO - Epoch(train) [25][1400/3757] lr: 1.000e-02 eta: 21:43:34 time: 0.266 data_time: 0.008 memory: 6404 grad_norm: 5.7480 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0699 loss: 2.0699 2022/06/29 21:35:40 - mmengine - INFO - Epoch(train) [25][1420/3757] lr: 1.000e-02 eta: 21:43:29 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 5.0076 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7418 loss: 1.7418 2022/06/29 21:35:46 - mmengine - INFO - Epoch(train) [25][1440/3757] lr: 1.000e-02 eta: 21:43:23 time: 0.242 data_time: 0.032 memory: 6404 grad_norm: 4.7359 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7762 loss: 1.7762 2022/06/29 21:35:51 - mmengine - INFO - Epoch(train) [25][1460/3757] lr: 1.000e-02 eta: 21:43:18 time: 0.286 data_time: 0.008 memory: 6404 grad_norm: 5.6236 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8691 loss: 1.8691 2022/06/29 21:35:57 - mmengine - INFO - Epoch(train) [25][1480/3757] lr: 1.000e-02 eta: 21:43:12 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.6191 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3077 loss: 2.3077 2022/06/29 21:36:02 - mmengine - INFO - Epoch(train) [25][1500/3757] lr: 1.000e-02 eta: 21:43:07 time: 0.252 data_time: 0.015 memory: 6404 grad_norm: 6.0748 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2026 loss: 2.2026 2022/06/29 21:36:07 - mmengine - INFO - Epoch(train) [25][1520/3757] lr: 1.000e-02 eta: 21:43:00 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 5.3792 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8726 loss: 1.8726 2022/06/29 21:36:13 - mmengine - INFO - Epoch(train) [25][1540/3757] lr: 1.000e-02 eta: 21:42:55 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 5.6831 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.6448 loss: 2.6448 2022/06/29 21:36:19 - mmengine - INFO - Epoch(train) [25][1560/3757] lr: 1.000e-02 eta: 21:42:51 time: 0.247 data_time: 0.015 memory: 6404 grad_norm: 6.3225 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2101 loss: 2.2101 2022/06/29 21:36:24 - mmengine - INFO - Epoch(train) [25][1580/3757] lr: 1.000e-02 eta: 21:42:45 time: 0.269 data_time: 0.011 memory: 6404 grad_norm: 5.4937 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7823 loss: 1.7823 2022/06/29 21:36:29 - mmengine - INFO - Epoch(train) [25][1600/3757] lr: 1.000e-02 eta: 21:42:38 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.6843 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9361 loss: 1.9361 2022/06/29 21:36:35 - mmengine - INFO - Epoch(train) [25][1620/3757] lr: 1.000e-02 eta: 21:42:32 time: 0.244 data_time: 0.039 memory: 6404 grad_norm: 5.1548 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9711 loss: 1.9711 2022/06/29 21:36:40 - mmengine - INFO - Epoch(train) [25][1640/3757] lr: 1.000e-02 eta: 21:42:26 time: 0.746 data_time: 0.011 memory: 6404 grad_norm: 5.5982 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8707 loss: 1.8707 2022/06/29 21:36:46 - mmengine - INFO - Epoch(train) [25][1660/3757] lr: 1.000e-02 eta: 21:42:20 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 4.4704 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0866 loss: 2.0866 2022/06/29 21:36:51 - mmengine - INFO - Epoch(train) [25][1680/3757] lr: 1.000e-02 eta: 21:42:15 time: 0.259 data_time: 0.030 memory: 6404 grad_norm: 5.7401 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1700 loss: 2.1700 2022/06/29 21:36:56 - mmengine - INFO - Epoch(train) [25][1700/3757] lr: 1.000e-02 eta: 21:42:09 time: 0.274 data_time: 0.023 memory: 6404 grad_norm: 4.8940 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2982 loss: 2.2982 2022/06/29 21:37:02 - mmengine - INFO - Epoch(train) [25][1720/3757] lr: 1.000e-02 eta: 21:42:04 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 5.3923 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9805 loss: 1.9805 2022/06/29 21:37:08 - mmengine - INFO - Epoch(train) [25][1740/3757] lr: 1.000e-02 eta: 21:41:59 time: 0.247 data_time: 0.059 memory: 6404 grad_norm: 5.6005 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8036 loss: 1.8036 2022/06/29 21:37:14 - mmengine - INFO - Epoch(train) [25][1760/3757] lr: 1.000e-02 eta: 21:41:54 time: 0.291 data_time: 0.013 memory: 6404 grad_norm: 6.1733 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5066 loss: 1.5066 2022/06/29 21:37:19 - mmengine - INFO - Epoch(train) [25][1780/3757] lr: 1.000e-02 eta: 21:41:50 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.4406 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8431 loss: 1.8431 2022/06/29 21:37:25 - mmengine - INFO - Epoch(train) [25][1800/3757] lr: 1.000e-02 eta: 21:41:44 time: 0.259 data_time: 0.072 memory: 6404 grad_norm: 5.2693 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8468 loss: 1.8468 2022/06/29 21:37:30 - mmengine - INFO - Epoch(train) [25][1820/3757] lr: 1.000e-02 eta: 21:41:38 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.5766 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8865 loss: 1.8865 2022/06/29 21:37:33 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 21:37:36 - mmengine - INFO - Epoch(train) [25][1840/3757] lr: 1.000e-02 eta: 21:41:32 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 5.8448 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6550 loss: 1.6550 2022/06/29 21:37:42 - mmengine - INFO - Epoch(train) [25][1860/3757] lr: 1.000e-02 eta: 21:41:28 time: 0.732 data_time: 0.543 memory: 6404 grad_norm: 6.1666 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0704 loss: 2.0704 2022/06/29 21:37:47 - mmengine - INFO - Epoch(train) [25][1880/3757] lr: 1.000e-02 eta: 21:41:21 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.3904 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1710 loss: 2.1710 2022/06/29 21:37:52 - mmengine - INFO - Epoch(train) [25][1900/3757] lr: 1.000e-02 eta: 21:41:15 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.9780 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8391 loss: 1.8391 2022/06/29 21:37:58 - mmengine - INFO - Epoch(train) [25][1920/3757] lr: 1.000e-02 eta: 21:41:11 time: 0.339 data_time: 0.149 memory: 6404 grad_norm: 5.7151 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5236 loss: 1.5236 2022/06/29 21:38:03 - mmengine - INFO - Epoch(train) [25][1940/3757] lr: 1.000e-02 eta: 21:41:05 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 5.0727 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5105 loss: 2.5105 2022/06/29 21:38:09 - mmengine - INFO - Epoch(train) [25][1960/3757] lr: 1.000e-02 eta: 21:41:00 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 5.5095 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5801 loss: 1.5801 2022/06/29 21:38:15 - mmengine - INFO - Epoch(train) [25][1980/3757] lr: 1.000e-02 eta: 21:40:55 time: 0.283 data_time: 0.066 memory: 6404 grad_norm: 6.0330 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7743 loss: 1.7743 2022/06/29 21:38:20 - mmengine - INFO - Epoch(train) [25][2000/3757] lr: 1.000e-02 eta: 21:40:49 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.3962 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7262 loss: 1.7262 2022/06/29 21:38:25 - mmengine - INFO - Epoch(train) [25][2020/3757] lr: 1.000e-02 eta: 21:40:42 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.6189 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2780 loss: 2.2780 2022/06/29 21:38:30 - mmengine - INFO - Epoch(train) [25][2040/3757] lr: 1.000e-02 eta: 21:40:36 time: 0.278 data_time: 0.082 memory: 6404 grad_norm: 4.2667 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2243 loss: 2.2243 2022/06/29 21:38:36 - mmengine - INFO - Epoch(train) [25][2060/3757] lr: 1.000e-02 eta: 21:40:30 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 5.4409 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8244 loss: 1.8244 2022/06/29 21:38:41 - mmengine - INFO - Epoch(train) [25][2080/3757] lr: 1.000e-02 eta: 21:40:24 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 6.1086 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9908 loss: 1.9908 2022/06/29 21:38:47 - mmengine - INFO - Epoch(train) [25][2100/3757] lr: 1.000e-02 eta: 21:40:20 time: 0.248 data_time: 0.050 memory: 6404 grad_norm: 6.2449 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2396 loss: 2.2396 2022/06/29 21:38:53 - mmengine - INFO - Epoch(train) [25][2120/3757] lr: 1.000e-02 eta: 21:40:14 time: 0.243 data_time: 0.009 memory: 6404 grad_norm: 5.6423 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9252 loss: 1.9252 2022/06/29 21:38:58 - mmengine - INFO - Epoch(train) [25][2140/3757] lr: 1.000e-02 eta: 21:40:08 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 4.8421 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7164 loss: 1.7164 2022/06/29 21:39:03 - mmengine - INFO - Epoch(train) [25][2160/3757] lr: 1.000e-02 eta: 21:40:02 time: 0.250 data_time: 0.062 memory: 6404 grad_norm: 5.9559 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0807 loss: 2.0807 2022/06/29 21:39:09 - mmengine - INFO - Epoch(train) [25][2180/3757] lr: 1.000e-02 eta: 21:39:57 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 6.0727 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1710 loss: 2.1710 2022/06/29 21:39:15 - mmengine - INFO - Epoch(train) [25][2200/3757] lr: 1.000e-02 eta: 21:39:54 time: 0.288 data_time: 0.009 memory: 6404 grad_norm: 4.7698 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6435 loss: 1.6435 2022/06/29 21:39:20 - mmengine - INFO - Epoch(train) [25][2220/3757] lr: 1.000e-02 eta: 21:39:48 time: 0.251 data_time: 0.038 memory: 6404 grad_norm: 4.8469 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8362 loss: 1.8362 2022/06/29 21:39:26 - mmengine - INFO - Epoch(train) [25][2240/3757] lr: 1.000e-02 eta: 21:39:41 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 5.2412 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7264 loss: 2.7264 2022/06/29 21:39:31 - mmengine - INFO - Epoch(train) [25][2260/3757] lr: 1.000e-02 eta: 21:39:36 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.3483 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6996 loss: 1.6996 2022/06/29 21:39:37 - mmengine - INFO - Epoch(train) [25][2280/3757] lr: 1.000e-02 eta: 21:39:30 time: 0.249 data_time: 0.020 memory: 6404 grad_norm: 5.6294 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4019 loss: 1.4019 2022/06/29 21:39:42 - mmengine - INFO - Epoch(train) [25][2300/3757] lr: 1.000e-02 eta: 21:39:24 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 5.1036 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2837 loss: 2.2837 2022/06/29 21:39:48 - mmengine - INFO - Epoch(train) [25][2320/3757] lr: 1.000e-02 eta: 21:39:19 time: 0.281 data_time: 0.049 memory: 6404 grad_norm: 6.2687 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0791 loss: 2.0791 2022/06/29 21:39:53 - mmengine - INFO - Epoch(train) [25][2340/3757] lr: 1.000e-02 eta: 21:39:13 time: 0.253 data_time: 0.017 memory: 6404 grad_norm: 5.7624 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8334 loss: 1.8334 2022/06/29 21:39:58 - mmengine - INFO - Epoch(train) [25][2360/3757] lr: 1.000e-02 eta: 21:39:07 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 6.5596 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0075 loss: 2.0075 2022/06/29 21:40:04 - mmengine - INFO - Epoch(train) [25][2380/3757] lr: 1.000e-02 eta: 21:39:03 time: 0.249 data_time: 0.020 memory: 6404 grad_norm: 5.7705 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2961 loss: 2.2961 2022/06/29 21:40:10 - mmengine - INFO - Epoch(train) [25][2400/3757] lr: 1.000e-02 eta: 21:38:59 time: 0.286 data_time: 0.012 memory: 6404 grad_norm: 4.2458 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5763 loss: 1.5763 2022/06/29 21:40:16 - mmengine - INFO - Epoch(train) [25][2420/3757] lr: 1.000e-02 eta: 21:38:53 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.5440 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6847 loss: 1.6847 2022/06/29 21:40:21 - mmengine - INFO - Epoch(train) [25][2440/3757] lr: 1.000e-02 eta: 21:38:46 time: 0.244 data_time: 0.015 memory: 6404 grad_norm: 5.4206 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8617 loss: 1.8617 2022/06/29 21:40:26 - mmengine - INFO - Epoch(train) [25][2460/3757] lr: 1.000e-02 eta: 21:38:39 time: 0.262 data_time: 0.016 memory: 6404 grad_norm: 6.1021 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2952 loss: 1.2952 2022/06/29 21:40:31 - mmengine - INFO - Epoch(train) [25][2480/3757] lr: 1.000e-02 eta: 21:38:33 time: 0.259 data_time: 0.018 memory: 6404 grad_norm: 5.0655 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8773 loss: 1.8773 2022/06/29 21:40:36 - mmengine - INFO - Epoch(train) [25][2500/3757] lr: 1.000e-02 eta: 21:38:27 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 5.8074 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7228 loss: 1.7228 2022/06/29 21:40:42 - mmengine - INFO - Epoch(train) [25][2520/3757] lr: 1.000e-02 eta: 21:38:21 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 5.3439 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9704 loss: 1.9704 2022/06/29 21:40:47 - mmengine - INFO - Epoch(train) [25][2540/3757] lr: 1.000e-02 eta: 21:38:15 time: 0.253 data_time: 0.031 memory: 6404 grad_norm: 5.1233 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7843 loss: 1.7843 2022/06/29 21:40:53 - mmengine - INFO - Epoch(train) [25][2560/3757] lr: 1.000e-02 eta: 21:38:09 time: 0.251 data_time: 0.017 memory: 6404 grad_norm: 5.0110 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7894 loss: 1.7894 2022/06/29 21:40:59 - mmengine - INFO - Epoch(train) [25][2580/3757] lr: 1.000e-02 eta: 21:38:05 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 6.9518 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0393 loss: 2.0393 2022/06/29 21:41:04 - mmengine - INFO - Epoch(train) [25][2600/3757] lr: 1.000e-02 eta: 21:38:00 time: 0.683 data_time: 0.014 memory: 6404 grad_norm: 5.6070 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8070 loss: 1.8070 2022/06/29 21:41:10 - mmengine - INFO - Epoch(train) [25][2620/3757] lr: 1.000e-02 eta: 21:37:55 time: 0.254 data_time: 0.015 memory: 6404 grad_norm: 5.3009 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.0400 loss: 2.0400 2022/06/29 21:41:15 - mmengine - INFO - Epoch(train) [25][2640/3757] lr: 1.000e-02 eta: 21:37:49 time: 0.248 data_time: 0.013 memory: 6404 grad_norm: 5.1835 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1060 loss: 2.1060 2022/06/29 21:41:21 - mmengine - INFO - Epoch(train) [25][2660/3757] lr: 1.000e-02 eta: 21:37:44 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 5.9671 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5693 loss: 1.5693 2022/06/29 21:41:26 - mmengine - INFO - Epoch(train) [25][2680/3757] lr: 1.000e-02 eta: 21:37:38 time: 0.248 data_time: 0.029 memory: 6404 grad_norm: 6.2944 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0133 loss: 2.0133 2022/06/29 21:41:32 - mmengine - INFO - Epoch(train) [25][2700/3757] lr: 1.000e-02 eta: 21:37:34 time: 0.239 data_time: 0.022 memory: 6404 grad_norm: 6.7915 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9831 loss: 1.9831 2022/06/29 21:41:37 - mmengine - INFO - Epoch(train) [25][2720/3757] lr: 1.000e-02 eta: 21:37:28 time: 0.324 data_time: 0.007 memory: 6404 grad_norm: 5.3333 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0427 loss: 2.0427 2022/06/29 21:41:43 - mmengine - INFO - Epoch(train) [25][2740/3757] lr: 1.000e-02 eta: 21:37:21 time: 0.247 data_time: 0.022 memory: 6404 grad_norm: 5.8460 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9376 loss: 1.9376 2022/06/29 21:41:49 - mmengine - INFO - Epoch(train) [25][2760/3757] lr: 1.000e-02 eta: 21:37:17 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.7169 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6286 loss: 1.6286 2022/06/29 21:41:54 - mmengine - INFO - Epoch(train) [25][2780/3757] lr: 1.000e-02 eta: 21:37:11 time: 0.288 data_time: 0.007 memory: 6404 grad_norm: 6.1259 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7775 loss: 1.7775 2022/06/29 21:41:59 - mmengine - INFO - Epoch(train) [25][2800/3757] lr: 1.000e-02 eta: 21:37:05 time: 0.256 data_time: 0.019 memory: 6404 grad_norm: 5.6315 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.9909 loss: 1.9909 2022/06/29 21:42:05 - mmengine - INFO - Epoch(train) [25][2820/3757] lr: 1.000e-02 eta: 21:37:00 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 5.3592 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8462 loss: 1.8462 2022/06/29 21:42:09 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 21:42:11 - mmengine - INFO - Epoch(train) [25][2840/3757] lr: 1.000e-02 eta: 21:36:55 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 5.4925 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9345 loss: 1.9345 2022/06/29 21:42:16 - mmengine - INFO - Epoch(train) [25][2860/3757] lr: 1.000e-02 eta: 21:36:50 time: 0.265 data_time: 0.017 memory: 6404 grad_norm: 5.2273 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8786 loss: 1.8786 2022/06/29 21:42:22 - mmengine - INFO - Epoch(train) [25][2880/3757] lr: 1.000e-02 eta: 21:36:45 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 5.0850 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8357 loss: 1.8357 2022/06/29 21:42:28 - mmengine - INFO - Epoch(train) [25][2900/3757] lr: 1.000e-02 eta: 21:36:40 time: 0.403 data_time: 0.010 memory: 6404 grad_norm: 5.3973 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9419 loss: 1.9419 2022/06/29 21:42:33 - mmengine - INFO - Epoch(train) [25][2920/3757] lr: 1.000e-02 eta: 21:36:35 time: 0.247 data_time: 0.020 memory: 6404 grad_norm: 5.0140 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8821 loss: 1.8821 2022/06/29 21:42:39 - mmengine - INFO - Epoch(train) [25][2940/3757] lr: 1.000e-02 eta: 21:36:28 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 5.6603 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8819 loss: 1.8819 2022/06/29 21:42:44 - mmengine - INFO - Epoch(train) [25][2960/3757] lr: 1.000e-02 eta: 21:36:22 time: 0.246 data_time: 0.014 memory: 6404 grad_norm: 5.4178 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5508 loss: 1.5508 2022/06/29 21:42:50 - mmengine - INFO - Epoch(train) [25][2980/3757] lr: 1.000e-02 eta: 21:36:18 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 5.8193 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9052 loss: 1.9052 2022/06/29 21:42:55 - mmengine - INFO - Epoch(train) [25][3000/3757] lr: 1.000e-02 eta: 21:36:11 time: 0.249 data_time: 0.016 memory: 6404 grad_norm: 5.0844 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8053 loss: 1.8053 2022/06/29 21:43:00 - mmengine - INFO - Epoch(train) [25][3020/3757] lr: 1.000e-02 eta: 21:36:04 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.7684 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9320 loss: 1.9320 2022/06/29 21:43:05 - mmengine - INFO - Epoch(train) [25][3040/3757] lr: 1.000e-02 eta: 21:35:57 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 4.9213 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9934 loss: 1.9934 2022/06/29 21:43:11 - mmengine - INFO - Epoch(train) [25][3060/3757] lr: 1.000e-02 eta: 21:35:52 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 5.9977 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8184 loss: 1.8184 2022/06/29 21:43:17 - mmengine - INFO - Epoch(train) [25][3080/3757] lr: 1.000e-02 eta: 21:35:48 time: 0.250 data_time: 0.015 memory: 6404 grad_norm: 5.0770 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5529 loss: 1.5529 2022/06/29 21:43:22 - mmengine - INFO - Epoch(train) [25][3100/3757] lr: 1.000e-02 eta: 21:35:42 time: 0.242 data_time: 0.011 memory: 6404 grad_norm: 5.1657 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2388 loss: 2.2388 2022/06/29 21:43:27 - mmengine - INFO - Epoch(train) [25][3120/3757] lr: 1.000e-02 eta: 21:35:36 time: 0.249 data_time: 0.015 memory: 6404 grad_norm: 5.5551 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4142 loss: 2.4142 2022/06/29 21:43:33 - mmengine - INFO - Epoch(train) [25][3140/3757] lr: 1.000e-02 eta: 21:35:31 time: 0.253 data_time: 0.017 memory: 6404 grad_norm: 5.1118 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1875 loss: 2.1875 2022/06/29 21:43:39 - mmengine - INFO - Epoch(train) [25][3160/3757] lr: 1.000e-02 eta: 21:35:26 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.3400 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6958 loss: 1.6958 2022/06/29 21:43:44 - mmengine - INFO - Epoch(train) [25][3180/3757] lr: 1.000e-02 eta: 21:35:21 time: 0.250 data_time: 0.017 memory: 6404 grad_norm: 5.7353 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9083 loss: 1.9083 2022/06/29 21:43:50 - mmengine - INFO - Epoch(train) [25][3200/3757] lr: 1.000e-02 eta: 21:35:15 time: 0.269 data_time: 0.010 memory: 6404 grad_norm: 6.4417 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9280 loss: 1.9280 2022/06/29 21:43:55 - mmengine - INFO - Epoch(train) [25][3220/3757] lr: 1.000e-02 eta: 21:35:09 time: 0.242 data_time: 0.008 memory: 6404 grad_norm: 5.2441 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1119 loss: 2.1119 2022/06/29 21:44:00 - mmengine - INFO - Epoch(train) [25][3240/3757] lr: 1.000e-02 eta: 21:35:02 time: 0.269 data_time: 0.014 memory: 6404 grad_norm: 5.0426 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1279 loss: 2.1279 2022/06/29 21:44:05 - mmengine - INFO - Epoch(train) [25][3260/3757] lr: 1.000e-02 eta: 21:34:56 time: 0.273 data_time: 0.014 memory: 6404 grad_norm: 5.3185 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0404 loss: 2.0404 2022/06/29 21:44:11 - mmengine - INFO - Epoch(train) [25][3280/3757] lr: 1.000e-02 eta: 21:34:50 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 6.1367 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3037 loss: 2.3037 2022/06/29 21:44:16 - mmengine - INFO - Epoch(train) [25][3300/3757] lr: 1.000e-02 eta: 21:34:45 time: 0.252 data_time: 0.017 memory: 6404 grad_norm: 6.0910 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1154 loss: 2.1154 2022/06/29 21:44:22 - mmengine - INFO - Epoch(train) [25][3320/3757] lr: 1.000e-02 eta: 21:34:40 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.9843 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9916 loss: 1.9916 2022/06/29 21:44:27 - mmengine - INFO - Epoch(train) [25][3340/3757] lr: 1.000e-02 eta: 21:34:34 time: 0.246 data_time: 0.023 memory: 6404 grad_norm: 5.6117 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5653 loss: 1.5653 2022/06/29 21:44:33 - mmengine - INFO - Epoch(train) [25][3360/3757] lr: 1.000e-02 eta: 21:34:29 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 5.7788 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9947 loss: 1.9947 2022/06/29 21:44:39 - mmengine - INFO - Epoch(train) [25][3380/3757] lr: 1.000e-02 eta: 21:34:24 time: 0.406 data_time: 0.007 memory: 6404 grad_norm: 5.5736 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7861 loss: 1.7861 2022/06/29 21:44:44 - mmengine - INFO - Epoch(train) [25][3400/3757] lr: 1.000e-02 eta: 21:34:17 time: 0.243 data_time: 0.028 memory: 6404 grad_norm: 6.5554 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8010 loss: 1.8010 2022/06/29 21:44:50 - mmengine - INFO - Epoch(train) [25][3420/3757] lr: 1.000e-02 eta: 21:34:13 time: 0.254 data_time: 0.015 memory: 6404 grad_norm: 6.5738 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3474 loss: 2.3474 2022/06/29 21:44:55 - mmengine - INFO - Epoch(train) [25][3440/3757] lr: 1.000e-02 eta: 21:34:07 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 6.5107 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7678 loss: 1.7678 2022/06/29 21:45:01 - mmengine - INFO - Epoch(train) [25][3460/3757] lr: 1.000e-02 eta: 21:34:01 time: 0.254 data_time: 0.040 memory: 6404 grad_norm: 5.3055 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1996 loss: 2.1996 2022/06/29 21:45:06 - mmengine - INFO - Epoch(train) [25][3480/3757] lr: 1.000e-02 eta: 21:33:56 time: 0.255 data_time: 0.015 memory: 6404 grad_norm: 5.1670 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8359 loss: 1.8359 2022/06/29 21:45:12 - mmengine - INFO - Epoch(train) [25][3500/3757] lr: 1.000e-02 eta: 21:33:50 time: 0.289 data_time: 0.007 memory: 6404 grad_norm: 5.9126 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6511 loss: 1.6511 2022/06/29 21:45:17 - mmengine - INFO - Epoch(train) [25][3520/3757] lr: 1.000e-02 eta: 21:33:45 time: 0.244 data_time: 0.017 memory: 6404 grad_norm: 5.1894 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1787 loss: 2.1787 2022/06/29 21:45:23 - mmengine - INFO - Epoch(train) [25][3540/3757] lr: 1.000e-02 eta: 21:33:40 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.2602 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9566 loss: 1.9566 2022/06/29 21:45:29 - mmengine - INFO - Epoch(train) [25][3560/3757] lr: 1.000e-02 eta: 21:33:36 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 6.3941 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3267 loss: 2.3267 2022/06/29 21:45:34 - mmengine - INFO - Epoch(train) [25][3580/3757] lr: 1.000e-02 eta: 21:33:29 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.8485 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9322 loss: 1.9322 2022/06/29 21:45:39 - mmengine - INFO - Epoch(train) [25][3600/3757] lr: 1.000e-02 eta: 21:33:22 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.7919 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2074 loss: 2.2074 2022/06/29 21:45:44 - mmengine - INFO - Epoch(train) [25][3620/3757] lr: 1.000e-02 eta: 21:33:16 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.8709 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8498 loss: 1.8498 2022/06/29 21:45:50 - mmengine - INFO - Epoch(train) [25][3640/3757] lr: 1.000e-02 eta: 21:33:11 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.5247 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8992 loss: 1.8992 2022/06/29 21:45:56 - mmengine - INFO - Epoch(train) [25][3660/3757] lr: 1.000e-02 eta: 21:33:06 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.8762 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6662 loss: 1.6662 2022/06/29 21:46:01 - mmengine - INFO - Epoch(train) [25][3680/3757] lr: 1.000e-02 eta: 21:33:00 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.1357 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9347 loss: 1.9347 2022/06/29 21:46:07 - mmengine - INFO - Epoch(train) [25][3700/3757] lr: 1.000e-02 eta: 21:32:55 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 5.4025 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0183 loss: 2.0183 2022/06/29 21:46:12 - mmengine - INFO - Epoch(train) [25][3720/3757] lr: 1.000e-02 eta: 21:32:49 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 6.0029 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9296 loss: 1.9296 2022/06/29 21:46:18 - mmengine - INFO - Epoch(train) [25][3740/3757] lr: 1.000e-02 eta: 21:32:44 time: 0.308 data_time: 0.016 memory: 6404 grad_norm: 6.7259 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0769 loss: 2.0769 2022/06/29 21:46:22 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 21:46:22 - mmengine - INFO - Saving checkpoint at 25 epochs 2022/06/29 21:46:33 - mmengine - INFO - Epoch(val) [25][20/310] eta: 0:01:29 time: 0.091 data_time: 0.015 memory: 6404 2022/06/29 21:46:39 - mmengine - INFO - Epoch(val) [25][40/310] eta: 0:01:24 time: 0.220 data_time: 0.146 memory: 1479 2022/06/29 21:46:43 - mmengine - INFO - Epoch(val) [25][60/310] eta: 0:00:22 time: 0.084 data_time: 0.010 memory: 1479 2022/06/29 21:46:49 - mmengine - INFO - Epoch(val) [25][80/310] eta: 0:01:15 time: 0.085 data_time: 0.009 memory: 1479 2022/06/29 21:46:55 - mmengine - INFO - Epoch(val) [25][100/310] eta: 0:01:05 time: 0.864 data_time: 0.774 memory: 1479 2022/06/29 21:46:59 - mmengine - INFO - Epoch(val) [25][120/310] eta: 0:00:34 time: 0.081 data_time: 0.006 memory: 1479 2022/06/29 21:47:06 - mmengine - INFO - Epoch(val) [25][140/310] eta: 0:00:51 time: 0.079 data_time: 0.005 memory: 1479 2022/06/29 21:47:11 - mmengine - INFO - Epoch(val) [25][160/310] eta: 0:00:41 time: 1.070 data_time: 0.992 memory: 1479 2022/06/29 21:47:16 - mmengine - INFO - Epoch(val) [25][180/310] eta: 0:00:35 time: 0.085 data_time: 0.007 memory: 1479 2022/06/29 21:47:22 - mmengine - INFO - Epoch(val) [25][200/310] eta: 0:00:32 time: 0.083 data_time: 0.007 memory: 1479 2022/06/29 21:47:27 - mmengine - INFO - Epoch(val) [25][220/310] eta: 0:00:26 time: 0.253 data_time: 0.164 memory: 1479 2022/06/29 21:47:31 - mmengine - INFO - Epoch(val) [25][240/310] eta: 0:00:17 time: 0.083 data_time: 0.007 memory: 1479 2022/06/29 21:47:37 - mmengine - INFO - Epoch(val) [25][260/310] eta: 0:00:15 time: 0.080 data_time: 0.005 memory: 1479 2022/06/29 21:47:43 - mmengine - INFO - Epoch(val) [25][280/310] eta: 0:00:07 time: 0.104 data_time: 0.009 memory: 1479 2022/06/29 21:47:44 - mmengine - INFO - Epoch(val) [25][300/310] eta: 0:00:00 time: 0.077 data_time: 0.005 memory: 1479 2022/06/29 21:47:46 - mmengine - INFO - Epoch(val) [25][310/310] acc/top1: 0.5641 acc/top5: 0.8040 acc/mean1: 0.5638 2022/06/29 21:47:55 - mmengine - INFO - Epoch(train) [26][20/3757] lr: 1.000e-02 eta: 21:32:37 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 5.3250 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8971 loss: 1.8971 2022/06/29 21:48:01 - mmengine - INFO - Epoch(train) [26][40/3757] lr: 1.000e-02 eta: 21:32:32 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 4.9900 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0304 loss: 2.0304 2022/06/29 21:48:06 - mmengine - INFO - Epoch(train) [26][60/3757] lr: 1.000e-02 eta: 21:32:26 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 5.7677 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9990 loss: 1.9990 2022/06/29 21:48:11 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 21:48:12 - mmengine - INFO - Epoch(train) [26][80/3757] lr: 1.000e-02 eta: 21:32:21 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 6.0813 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1486 loss: 2.1486 2022/06/29 21:48:17 - mmengine - INFO - Epoch(train) [26][100/3757] lr: 1.000e-02 eta: 21:32:15 time: 0.242 data_time: 0.011 memory: 6404 grad_norm: 5.9604 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4124 loss: 2.4124 2022/06/29 21:48:23 - mmengine - INFO - Epoch(train) [26][120/3757] lr: 1.000e-02 eta: 21:32:09 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.2394 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0169 loss: 2.0169 2022/06/29 21:48:29 - mmengine - INFO - Epoch(train) [26][140/3757] lr: 1.000e-02 eta: 21:32:05 time: 0.461 data_time: 0.010 memory: 6404 grad_norm: 4.4803 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0426 loss: 2.0426 2022/06/29 21:48:34 - mmengine - INFO - Epoch(train) [26][160/3757] lr: 1.000e-02 eta: 21:32:00 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 5.4786 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5026 loss: 2.5026 2022/06/29 21:48:40 - mmengine - INFO - Epoch(train) [26][180/3757] lr: 1.000e-02 eta: 21:31:54 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.3542 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8863 loss: 1.8863 2022/06/29 21:48:45 - mmengine - INFO - Epoch(train) [26][200/3757] lr: 1.000e-02 eta: 21:31:49 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.7232 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9593 loss: 1.9593 2022/06/29 21:48:51 - mmengine - INFO - Epoch(train) [26][220/3757] lr: 1.000e-02 eta: 21:31:45 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.2724 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4510 loss: 2.4510 2022/06/29 21:48:56 - mmengine - INFO - Epoch(train) [26][240/3757] lr: 1.000e-02 eta: 21:31:38 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 4.7350 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5531 loss: 1.5531 2022/06/29 21:49:02 - mmengine - INFO - Epoch(train) [26][260/3757] lr: 1.000e-02 eta: 21:31:32 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 5.4816 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8229 loss: 1.8229 2022/06/29 21:49:08 - mmengine - INFO - Epoch(train) [26][280/3757] lr: 1.000e-02 eta: 21:31:27 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 6.0887 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.1533 loss: 2.1533 2022/06/29 21:49:13 - mmengine - INFO - Epoch(train) [26][300/3757] lr: 1.000e-02 eta: 21:31:21 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.0313 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4497 loss: 1.4497 2022/06/29 21:49:18 - mmengine - INFO - Epoch(train) [26][320/3757] lr: 1.000e-02 eta: 21:31:16 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 6.3050 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3121 loss: 2.3121 2022/06/29 21:49:24 - mmengine - INFO - Epoch(train) [26][340/3757] lr: 1.000e-02 eta: 21:31:12 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.9563 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8348 loss: 1.8348 2022/06/29 21:49:30 - mmengine - INFO - Epoch(train) [26][360/3757] lr: 1.000e-02 eta: 21:31:06 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 5.1405 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7582 loss: 1.7582 2022/06/29 21:49:35 - mmengine - INFO - Epoch(train) [26][380/3757] lr: 1.000e-02 eta: 21:31:00 time: 0.261 data_time: 0.006 memory: 6404 grad_norm: 5.5010 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9456 loss: 1.9456 2022/06/29 21:49:41 - mmengine - INFO - Epoch(train) [26][400/3757] lr: 1.000e-02 eta: 21:30:55 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.2858 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8458 loss: 1.8458 2022/06/29 21:49:46 - mmengine - INFO - Epoch(train) [26][420/3757] lr: 1.000e-02 eta: 21:30:48 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.4689 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7053 loss: 1.7053 2022/06/29 21:49:51 - mmengine - INFO - Epoch(train) [26][440/3757] lr: 1.000e-02 eta: 21:30:43 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.1177 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.5200 loss: 1.5200 2022/06/29 21:49:57 - mmengine - INFO - Epoch(train) [26][460/3757] lr: 1.000e-02 eta: 21:30:38 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.2252 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6915 loss: 1.6915 2022/06/29 21:50:02 - mmengine - INFO - Epoch(train) [26][480/3757] lr: 1.000e-02 eta: 21:30:32 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 5.9691 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7859 loss: 1.7859 2022/06/29 21:50:08 - mmengine - INFO - Epoch(train) [26][500/3757] lr: 1.000e-02 eta: 21:30:27 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 5.8720 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7828 loss: 1.7828 2022/06/29 21:50:14 - mmengine - INFO - Epoch(train) [26][520/3757] lr: 1.000e-02 eta: 21:30:22 time: 0.239 data_time: 0.010 memory: 6404 grad_norm: 5.5337 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7132 loss: 1.7132 2022/06/29 21:50:19 - mmengine - INFO - Epoch(train) [26][540/3757] lr: 1.000e-02 eta: 21:30:15 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 5.7089 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9369 loss: 1.9369 2022/06/29 21:50:25 - mmengine - INFO - Epoch(train) [26][560/3757] lr: 1.000e-02 eta: 21:30:10 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.5431 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9434 loss: 1.9434 2022/06/29 21:50:31 - mmengine - INFO - Epoch(train) [26][580/3757] lr: 1.000e-02 eta: 21:30:06 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.3052 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.8147 loss: 1.8147 2022/06/29 21:50:36 - mmengine - INFO - Epoch(train) [26][600/3757] lr: 1.000e-02 eta: 21:30:00 time: 0.284 data_time: 0.007 memory: 6404 grad_norm: 4.8899 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8742 loss: 1.8742 2022/06/29 21:50:41 - mmengine - INFO - Epoch(train) [26][620/3757] lr: 1.000e-02 eta: 21:29:54 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 5.1144 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0383 loss: 2.0383 2022/06/29 21:50:47 - mmengine - INFO - Epoch(train) [26][640/3757] lr: 1.000e-02 eta: 21:29:49 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.8175 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1802 loss: 2.1802 2022/06/29 21:50:52 - mmengine - INFO - Epoch(train) [26][660/3757] lr: 1.000e-02 eta: 21:29:42 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 5.0219 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6680 loss: 1.6680 2022/06/29 21:50:58 - mmengine - INFO - Epoch(train) [26][680/3757] lr: 1.000e-02 eta: 21:29:37 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.4001 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1328 loss: 2.1328 2022/06/29 21:51:03 - mmengine - INFO - Epoch(train) [26][700/3757] lr: 1.000e-02 eta: 21:29:32 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.7813 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0050 loss: 2.0050 2022/06/29 21:51:09 - mmengine - INFO - Epoch(train) [26][720/3757] lr: 1.000e-02 eta: 21:29:25 time: 0.332 data_time: 0.011 memory: 6404 grad_norm: 5.4228 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0934 loss: 2.0934 2022/06/29 21:51:14 - mmengine - INFO - Epoch(train) [26][740/3757] lr: 1.000e-02 eta: 21:29:20 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.4011 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7865 loss: 1.7865 2022/06/29 21:51:20 - mmengine - INFO - Epoch(train) [26][760/3757] lr: 1.000e-02 eta: 21:29:14 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.3574 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9889 loss: 1.9889 2022/06/29 21:51:25 - mmengine - INFO - Epoch(train) [26][780/3757] lr: 1.000e-02 eta: 21:29:08 time: 0.263 data_time: 0.015 memory: 6404 grad_norm: 5.5659 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9647 loss: 1.9647 2022/06/29 21:51:31 - mmengine - INFO - Epoch(train) [26][800/3757] lr: 1.000e-02 eta: 21:29:03 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.3775 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0457 loss: 2.0457 2022/06/29 21:51:36 - mmengine - INFO - Epoch(train) [26][820/3757] lr: 1.000e-02 eta: 21:28:58 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.8053 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0691 loss: 2.0691 2022/06/29 21:51:42 - mmengine - INFO - Epoch(train) [26][840/3757] lr: 1.000e-02 eta: 21:28:52 time: 0.263 data_time: 0.016 memory: 6404 grad_norm: 4.5257 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8022 loss: 1.8022 2022/06/29 21:51:47 - mmengine - INFO - Epoch(train) [26][860/3757] lr: 1.000e-02 eta: 21:28:48 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.4854 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5447 loss: 1.5447 2022/06/29 21:51:53 - mmengine - INFO - Epoch(train) [26][880/3757] lr: 1.000e-02 eta: 21:28:42 time: 0.280 data_time: 0.007 memory: 6404 grad_norm: 5.8163 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0987 loss: 2.0987 2022/06/29 21:51:58 - mmengine - INFO - Epoch(train) [26][900/3757] lr: 1.000e-02 eta: 21:28:36 time: 0.262 data_time: 0.013 memory: 6404 grad_norm: 5.6690 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1731 loss: 2.1731 2022/06/29 21:52:03 - mmengine - INFO - Epoch(train) [26][920/3757] lr: 1.000e-02 eta: 21:28:30 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 4.9551 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8270 loss: 1.8270 2022/06/29 21:52:10 - mmengine - INFO - Epoch(train) [26][940/3757] lr: 1.000e-02 eta: 21:28:28 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.4343 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9520 loss: 1.9520 2022/06/29 21:52:15 - mmengine - INFO - Epoch(train) [26][960/3757] lr: 1.000e-02 eta: 21:28:21 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 6.0539 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4181 loss: 2.4181 2022/06/29 21:52:21 - mmengine - INFO - Epoch(train) [26][980/3757] lr: 1.000e-02 eta: 21:28:15 time: 0.239 data_time: 0.010 memory: 6404 grad_norm: 6.0649 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1444 loss: 2.1444 2022/06/29 21:52:26 - mmengine - INFO - Epoch(train) [26][1000/3757] lr: 1.000e-02 eta: 21:28:09 time: 0.255 data_time: 0.012 memory: 6404 grad_norm: 5.9717 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9905 loss: 1.9905 2022/06/29 21:52:32 - mmengine - INFO - Epoch(train) [26][1020/3757] lr: 1.000e-02 eta: 21:28:04 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 6.0449 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6271 loss: 1.6271 2022/06/29 21:52:37 - mmengine - INFO - Epoch(train) [26][1040/3757] lr: 1.000e-02 eta: 21:27:59 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 4.9443 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5788 loss: 1.5788 2022/06/29 21:52:43 - mmengine - INFO - Epoch(train) [26][1060/3757] lr: 1.000e-02 eta: 21:27:53 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 5.7952 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6935 loss: 1.6935 2022/06/29 21:52:47 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 21:52:48 - mmengine - INFO - Epoch(train) [26][1080/3757] lr: 1.000e-02 eta: 21:27:47 time: 0.248 data_time: 0.016 memory: 6404 grad_norm: 5.1727 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0945 loss: 2.0945 2022/06/29 21:52:54 - mmengine - INFO - Epoch(train) [26][1100/3757] lr: 1.000e-02 eta: 21:27:44 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 4.7521 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5786 loss: 1.5786 2022/06/29 21:52:59 - mmengine - INFO - Epoch(train) [26][1120/3757] lr: 1.000e-02 eta: 21:27:37 time: 0.257 data_time: 0.015 memory: 6404 grad_norm: 5.4456 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3431 loss: 1.3431 2022/06/29 21:53:05 - mmengine - INFO - Epoch(train) [26][1140/3757] lr: 1.000e-02 eta: 21:27:30 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 5.1538 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0357 loss: 2.0357 2022/06/29 21:53:10 - mmengine - INFO - Epoch(train) [26][1160/3757] lr: 1.000e-02 eta: 21:27:25 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 5.3383 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0300 loss: 2.0300 2022/06/29 21:53:15 - mmengine - INFO - Epoch(train) [26][1180/3757] lr: 1.000e-02 eta: 21:27:18 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 5.2664 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7730 loss: 1.7730 2022/06/29 21:53:20 - mmengine - INFO - Epoch(train) [26][1200/3757] lr: 1.000e-02 eta: 21:27:12 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 4.8382 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9563 loss: 1.9563 2022/06/29 21:53:26 - mmengine - INFO - Epoch(train) [26][1220/3757] lr: 1.000e-02 eta: 21:27:07 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 6.2682 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1388 loss: 2.1388 2022/06/29 21:53:32 - mmengine - INFO - Epoch(train) [26][1240/3757] lr: 1.000e-02 eta: 21:27:04 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 4.9274 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9221 loss: 1.9221 2022/06/29 21:53:37 - mmengine - INFO - Epoch(train) [26][1260/3757] lr: 1.000e-02 eta: 21:26:57 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.2930 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2793 loss: 2.2793 2022/06/29 21:53:43 - mmengine - INFO - Epoch(train) [26][1280/3757] lr: 1.000e-02 eta: 21:26:50 time: 0.246 data_time: 0.012 memory: 6404 grad_norm: 5.3492 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8523 loss: 1.8523 2022/06/29 21:53:48 - mmengine - INFO - Epoch(train) [26][1300/3757] lr: 1.000e-02 eta: 21:26:45 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.2464 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1249 loss: 2.1249 2022/06/29 21:53:54 - mmengine - INFO - Epoch(train) [26][1320/3757] lr: 1.000e-02 eta: 21:26:40 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.4825 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5408 loss: 1.5408 2022/06/29 21:54:00 - mmengine - INFO - Epoch(train) [26][1340/3757] lr: 1.000e-02 eta: 21:26:35 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 4.4811 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9645 loss: 1.9645 2022/06/29 21:54:05 - mmengine - INFO - Epoch(train) [26][1360/3757] lr: 1.000e-02 eta: 21:26:29 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.2507 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9850 loss: 1.9850 2022/06/29 21:54:11 - mmengine - INFO - Epoch(train) [26][1380/3757] lr: 1.000e-02 eta: 21:26:24 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.2736 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1732 loss: 2.1732 2022/06/29 21:54:16 - mmengine - INFO - Epoch(train) [26][1400/3757] lr: 1.000e-02 eta: 21:26:18 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.6668 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9111 loss: 1.9111 2022/06/29 21:54:21 - mmengine - INFO - Epoch(train) [26][1420/3757] lr: 1.000e-02 eta: 21:26:12 time: 0.281 data_time: 0.011 memory: 6404 grad_norm: 5.2962 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1873 loss: 2.1873 2022/06/29 21:54:26 - mmengine - INFO - Epoch(train) [26][1440/3757] lr: 1.000e-02 eta: 21:26:05 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 5.1893 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1784 loss: 2.1784 2022/06/29 21:54:33 - mmengine - INFO - Epoch(train) [26][1460/3757] lr: 1.000e-02 eta: 21:26:02 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.5538 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6887 loss: 1.6887 2022/06/29 21:54:38 - mmengine - INFO - Epoch(train) [26][1480/3757] lr: 1.000e-02 eta: 21:25:55 time: 0.240 data_time: 0.013 memory: 6404 grad_norm: 5.4791 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6781 loss: 1.6781 2022/06/29 21:54:43 - mmengine - INFO - Epoch(train) [26][1500/3757] lr: 1.000e-02 eta: 21:25:49 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.2451 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1088 loss: 2.1088 2022/06/29 21:54:48 - mmengine - INFO - Epoch(train) [26][1520/3757] lr: 1.000e-02 eta: 21:25:43 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.5525 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0276 loss: 2.0276 2022/06/29 21:54:54 - mmengine - INFO - Epoch(train) [26][1540/3757] lr: 1.000e-02 eta: 21:25:37 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.9023 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2458 loss: 2.2458 2022/06/29 21:54:59 - mmengine - INFO - Epoch(train) [26][1560/3757] lr: 1.000e-02 eta: 21:25:30 time: 0.316 data_time: 0.006 memory: 6404 grad_norm: 4.8936 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9863 loss: 1.9863 2022/06/29 21:55:04 - mmengine - INFO - Epoch(train) [26][1580/3757] lr: 1.000e-02 eta: 21:25:25 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.5414 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8674 loss: 1.8674 2022/06/29 21:55:10 - mmengine - INFO - Epoch(train) [26][1600/3757] lr: 1.000e-02 eta: 21:25:21 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 5.8610 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1906 loss: 2.1906 2022/06/29 21:55:16 - mmengine - INFO - Epoch(train) [26][1620/3757] lr: 1.000e-02 eta: 21:25:16 time: 0.239 data_time: 0.007 memory: 6404 grad_norm: 6.2859 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3596 loss: 2.3596 2022/06/29 21:55:21 - mmengine - INFO - Epoch(train) [26][1640/3757] lr: 1.000e-02 eta: 21:25:09 time: 0.271 data_time: 0.006 memory: 6404 grad_norm: 5.3782 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5557 loss: 1.5557 2022/06/29 21:55:26 - mmengine - INFO - Epoch(train) [26][1660/3757] lr: 1.000e-02 eta: 21:25:03 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 5.4875 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7251 loss: 1.7251 2022/06/29 21:55:32 - mmengine - INFO - Epoch(train) [26][1680/3757] lr: 1.000e-02 eta: 21:24:58 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.4246 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7905 loss: 1.7905 2022/06/29 21:55:37 - mmengine - INFO - Epoch(train) [26][1700/3757] lr: 1.000e-02 eta: 21:24:52 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 5.6473 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4513 loss: 1.4513 2022/06/29 21:55:43 - mmengine - INFO - Epoch(train) [26][1720/3757] lr: 1.000e-02 eta: 21:24:47 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 6.0129 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8117 loss: 1.8117 2022/06/29 21:55:49 - mmengine - INFO - Epoch(train) [26][1740/3757] lr: 1.000e-02 eta: 21:24:41 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.2634 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8431 loss: 1.8431 2022/06/29 21:55:54 - mmengine - INFO - Epoch(train) [26][1760/3757] lr: 1.000e-02 eta: 21:24:36 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.3315 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0930 loss: 2.0930 2022/06/29 21:55:59 - mmengine - INFO - Epoch(train) [26][1780/3757] lr: 1.000e-02 eta: 21:24:30 time: 0.431 data_time: 0.165 memory: 6404 grad_norm: 5.4706 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7024 loss: 1.7024 2022/06/29 21:56:05 - mmengine - INFO - Epoch(train) [26][1800/3757] lr: 1.000e-02 eta: 21:24:24 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 4.9663 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0495 loss: 2.0495 2022/06/29 21:56:10 - mmengine - INFO - Epoch(train) [26][1820/3757] lr: 1.000e-02 eta: 21:24:19 time: 0.265 data_time: 0.006 memory: 6404 grad_norm: 5.9593 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3768 loss: 1.3768 2022/06/29 21:56:15 - mmengine - INFO - Epoch(train) [26][1840/3757] lr: 1.000e-02 eta: 21:24:12 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 5.0908 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0337 loss: 2.0337 2022/06/29 21:56:21 - mmengine - INFO - Epoch(train) [26][1860/3757] lr: 1.000e-02 eta: 21:24:07 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 5.6621 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1751 loss: 2.1751 2022/06/29 21:56:26 - mmengine - INFO - Epoch(train) [26][1880/3757] lr: 1.000e-02 eta: 21:24:00 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 5.7083 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.6563 loss: 1.6563 2022/06/29 21:56:32 - mmengine - INFO - Epoch(train) [26][1900/3757] lr: 1.000e-02 eta: 21:23:54 time: 0.260 data_time: 0.006 memory: 6404 grad_norm: 5.1592 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0885 loss: 2.0885 2022/06/29 21:56:37 - mmengine - INFO - Epoch(train) [26][1920/3757] lr: 1.000e-02 eta: 21:23:50 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 4.9612 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7640 loss: 1.7640 2022/06/29 21:56:43 - mmengine - INFO - Epoch(train) [26][1940/3757] lr: 1.000e-02 eta: 21:23:43 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 4.8495 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6751 loss: 1.6751 2022/06/29 21:56:48 - mmengine - INFO - Epoch(train) [26][1960/3757] lr: 1.000e-02 eta: 21:23:37 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 5.2590 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8982 loss: 1.8982 2022/06/29 21:56:53 - mmengine - INFO - Epoch(train) [26][1980/3757] lr: 1.000e-02 eta: 21:23:31 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 5.5398 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8909 loss: 1.8909 2022/06/29 21:56:59 - mmengine - INFO - Epoch(train) [26][2000/3757] lr: 1.000e-02 eta: 21:23:27 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 5.7995 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8515 loss: 1.8515 2022/06/29 21:57:04 - mmengine - INFO - Epoch(train) [26][2020/3757] lr: 1.000e-02 eta: 21:23:20 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.8014 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2137 loss: 2.2137 2022/06/29 21:57:10 - mmengine - INFO - Epoch(train) [26][2040/3757] lr: 1.000e-02 eta: 21:23:14 time: 0.265 data_time: 0.014 memory: 6404 grad_norm: 5.5372 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7325 loss: 1.7325 2022/06/29 21:57:15 - mmengine - INFO - Epoch(train) [26][2060/3757] lr: 1.000e-02 eta: 21:23:07 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 5.2073 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9907 loss: 1.9907 2022/06/29 21:57:19 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 21:57:20 - mmengine - INFO - Epoch(train) [26][2080/3757] lr: 1.000e-02 eta: 21:23:01 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.5319 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6380 loss: 1.6380 2022/06/29 21:57:26 - mmengine - INFO - Epoch(train) [26][2100/3757] lr: 1.000e-02 eta: 21:22:56 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 5.4915 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3680 loss: 2.3680 2022/06/29 21:57:31 - mmengine - INFO - Epoch(train) [26][2120/3757] lr: 1.000e-02 eta: 21:22:50 time: 0.240 data_time: 0.007 memory: 6404 grad_norm: 5.7986 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9656 loss: 1.9656 2022/06/29 21:57:37 - mmengine - INFO - Epoch(train) [26][2140/3757] lr: 1.000e-02 eta: 21:22:45 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 6.3613 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8150 loss: 1.8150 2022/06/29 21:57:42 - mmengine - INFO - Epoch(train) [26][2160/3757] lr: 1.000e-02 eta: 21:22:40 time: 0.251 data_time: 0.020 memory: 6404 grad_norm: 4.8918 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1956 loss: 2.1956 2022/06/29 21:57:48 - mmengine - INFO - Epoch(train) [26][2180/3757] lr: 1.000e-02 eta: 21:22:35 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 5.1014 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6546 loss: 1.6546 2022/06/29 21:57:53 - mmengine - INFO - Epoch(train) [26][2200/3757] lr: 1.000e-02 eta: 21:22:29 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.7730 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2574 loss: 2.2574 2022/06/29 21:57:59 - mmengine - INFO - Epoch(train) [26][2220/3757] lr: 1.000e-02 eta: 21:22:24 time: 0.270 data_time: 0.009 memory: 6404 grad_norm: 5.4784 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2295 loss: 2.2295 2022/06/29 21:58:04 - mmengine - INFO - Epoch(train) [26][2240/3757] lr: 1.000e-02 eta: 21:22:18 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.0327 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6983 loss: 1.6983 2022/06/29 21:58:10 - mmengine - INFO - Epoch(train) [26][2260/3757] lr: 1.000e-02 eta: 21:22:12 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 5.7111 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2834 loss: 2.2834 2022/06/29 21:58:15 - mmengine - INFO - Epoch(train) [26][2280/3757] lr: 1.000e-02 eta: 21:22:07 time: 0.253 data_time: 0.015 memory: 6404 grad_norm: 6.1025 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8615 loss: 1.8615 2022/06/29 21:58:21 - mmengine - INFO - Epoch(train) [26][2300/3757] lr: 1.000e-02 eta: 21:22:01 time: 0.281 data_time: 0.007 memory: 6404 grad_norm: 5.5984 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7472 loss: 1.7472 2022/06/29 21:58:26 - mmengine - INFO - Epoch(train) [26][2320/3757] lr: 1.000e-02 eta: 21:21:55 time: 0.234 data_time: 0.014 memory: 6404 grad_norm: 5.8354 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9632 loss: 1.9632 2022/06/29 21:58:32 - mmengine - INFO - Epoch(train) [26][2340/3757] lr: 1.000e-02 eta: 21:21:50 time: 0.253 data_time: 0.017 memory: 6404 grad_norm: 6.1891 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6983 loss: 1.6983 2022/06/29 21:58:37 - mmengine - INFO - Epoch(train) [26][2360/3757] lr: 1.000e-02 eta: 21:21:44 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 6.3623 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7114 loss: 1.7114 2022/06/29 21:58:42 - mmengine - INFO - Epoch(train) [26][2380/3757] lr: 1.000e-02 eta: 21:21:38 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 5.7163 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0009 loss: 2.0009 2022/06/29 21:58:48 - mmengine - INFO - Epoch(train) [26][2400/3757] lr: 1.000e-02 eta: 21:21:32 time: 0.265 data_time: 0.017 memory: 6404 grad_norm: 5.2417 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9004 loss: 1.9004 2022/06/29 21:58:53 - mmengine - INFO - Epoch(train) [26][2420/3757] lr: 1.000e-02 eta: 21:21:27 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.9123 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0666 loss: 2.0666 2022/06/29 21:58:59 - mmengine - INFO - Epoch(train) [26][2440/3757] lr: 1.000e-02 eta: 21:21:20 time: 0.261 data_time: 0.052 memory: 6404 grad_norm: 5.4125 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0605 loss: 2.0605 2022/06/29 21:59:04 - mmengine - INFO - Epoch(train) [26][2460/3757] lr: 1.000e-02 eta: 21:21:15 time: 0.243 data_time: 0.014 memory: 6404 grad_norm: 5.5237 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8018 loss: 1.8018 2022/06/29 21:59:10 - mmengine - INFO - Epoch(train) [26][2480/3757] lr: 1.000e-02 eta: 21:21:11 time: 0.240 data_time: 0.010 memory: 6404 grad_norm: 5.1835 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9601 loss: 1.9601 2022/06/29 21:59:15 - mmengine - INFO - Epoch(train) [26][2500/3757] lr: 1.000e-02 eta: 21:21:04 time: 0.249 data_time: 0.036 memory: 6404 grad_norm: 5.5488 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9126 loss: 1.9126 2022/06/29 21:59:21 - mmengine - INFO - Epoch(train) [26][2520/3757] lr: 1.000e-02 eta: 21:20:58 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.1772 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1699 loss: 2.1699 2022/06/29 21:59:26 - mmengine - INFO - Epoch(train) [26][2540/3757] lr: 1.000e-02 eta: 21:20:53 time: 0.268 data_time: 0.011 memory: 6404 grad_norm: 5.3292 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7289 loss: 1.7289 2022/06/29 21:59:31 - mmengine - INFO - Epoch(train) [26][2560/3757] lr: 1.000e-02 eta: 21:20:46 time: 0.260 data_time: 0.021 memory: 6404 grad_norm: 6.3217 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1249 loss: 2.1249 2022/06/29 21:59:37 - mmengine - INFO - Epoch(train) [26][2580/3757] lr: 1.000e-02 eta: 21:20:41 time: 0.246 data_time: 0.012 memory: 6404 grad_norm: 5.1427 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7849 loss: 1.7849 2022/06/29 21:59:42 - mmengine - INFO - Epoch(train) [26][2600/3757] lr: 1.000e-02 eta: 21:20:35 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 4.3553 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6203 loss: 1.6203 2022/06/29 21:59:47 - mmengine - INFO - Epoch(train) [26][2620/3757] lr: 1.000e-02 eta: 21:20:28 time: 0.255 data_time: 0.067 memory: 6404 grad_norm: 6.2039 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0930 loss: 2.0930 2022/06/29 21:59:53 - mmengine - INFO - Epoch(train) [26][2640/3757] lr: 1.000e-02 eta: 21:20:22 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 4.9929 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9661 loss: 1.9661 2022/06/29 21:59:58 - mmengine - INFO - Epoch(train) [26][2660/3757] lr: 1.000e-02 eta: 21:20:16 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.6480 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8582 loss: 1.8582 2022/06/29 22:00:04 - mmengine - INFO - Epoch(train) [26][2680/3757] lr: 1.000e-02 eta: 21:20:11 time: 0.359 data_time: 0.065 memory: 6404 grad_norm: 5.3557 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0104 loss: 2.0104 2022/06/29 22:00:09 - mmengine - INFO - Epoch(train) [26][2700/3757] lr: 1.000e-02 eta: 21:20:05 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.6802 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1670 loss: 2.1670 2022/06/29 22:00:15 - mmengine - INFO - Epoch(train) [26][2720/3757] lr: 1.000e-02 eta: 21:20:01 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.5779 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9915 loss: 1.9915 2022/06/29 22:00:21 - mmengine - INFO - Epoch(train) [26][2740/3757] lr: 1.000e-02 eta: 21:19:57 time: 0.328 data_time: 0.134 memory: 6404 grad_norm: 5.0829 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7116 loss: 1.7116 2022/06/29 22:00:26 - mmengine - INFO - Epoch(train) [26][2760/3757] lr: 1.000e-02 eta: 21:19:51 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 5.4163 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1676 loss: 2.1676 2022/06/29 22:00:31 - mmengine - INFO - Epoch(train) [26][2780/3757] lr: 1.000e-02 eta: 21:19:44 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 5.6679 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2820 loss: 2.2820 2022/06/29 22:00:37 - mmengine - INFO - Epoch(train) [26][2800/3757] lr: 1.000e-02 eta: 21:19:37 time: 0.254 data_time: 0.045 memory: 6404 grad_norm: 6.3551 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2603 loss: 2.2603 2022/06/29 22:00:43 - mmengine - INFO - Epoch(train) [26][2820/3757] lr: 1.000e-02 eta: 21:19:33 time: 0.256 data_time: 0.017 memory: 6404 grad_norm: 5.0180 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8583 loss: 1.8583 2022/06/29 22:00:48 - mmengine - INFO - Epoch(train) [26][2840/3757] lr: 1.000e-02 eta: 21:19:28 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 5.8416 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9587 loss: 1.9587 2022/06/29 22:00:53 - mmengine - INFO - Epoch(train) [26][2860/3757] lr: 1.000e-02 eta: 21:19:22 time: 0.249 data_time: 0.024 memory: 6404 grad_norm: 5.5204 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0958 loss: 2.0958 2022/06/29 22:00:59 - mmengine - INFO - Epoch(train) [26][2880/3757] lr: 1.000e-02 eta: 21:19:16 time: 0.259 data_time: 0.014 memory: 6404 grad_norm: 6.7088 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1144 loss: 2.1144 2022/06/29 22:01:04 - mmengine - INFO - Epoch(train) [26][2900/3757] lr: 1.000e-02 eta: 21:19:10 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.7775 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2816 loss: 2.2816 2022/06/29 22:01:10 - mmengine - INFO - Epoch(train) [26][2920/3757] lr: 1.000e-02 eta: 21:19:06 time: 1.236 data_time: 0.058 memory: 6404 grad_norm: 5.5252 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8499 loss: 1.8499 2022/06/29 22:01:15 - mmengine - INFO - Epoch(train) [26][2940/3757] lr: 1.000e-02 eta: 21:19:00 time: 0.264 data_time: 0.017 memory: 6404 grad_norm: 5.2295 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8814 loss: 1.8814 2022/06/29 22:01:21 - mmengine - INFO - Epoch(train) [26][2960/3757] lr: 1.000e-02 eta: 21:18:53 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.0067 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4997 loss: 2.4997 2022/06/29 22:01:26 - mmengine - INFO - Epoch(train) [26][2980/3757] lr: 1.000e-02 eta: 21:18:48 time: 0.489 data_time: 0.039 memory: 6404 grad_norm: 5.9013 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0941 loss: 2.0941 2022/06/29 22:01:32 - mmengine - INFO - Epoch(train) [26][3000/3757] lr: 1.000e-02 eta: 21:18:42 time: 0.251 data_time: 0.016 memory: 6404 grad_norm: 5.6106 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9577 loss: 1.9577 2022/06/29 22:01:37 - mmengine - INFO - Epoch(train) [26][3020/3757] lr: 1.000e-02 eta: 21:18:36 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.7012 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2814 loss: 2.2814 2022/06/29 22:01:42 - mmengine - INFO - Epoch(train) [26][3040/3757] lr: 1.000e-02 eta: 21:18:31 time: 0.382 data_time: 0.010 memory: 6404 grad_norm: 4.7405 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1124 loss: 2.1124 2022/06/29 22:01:47 - mmengine - INFO - Epoch(train) [26][3060/3757] lr: 1.000e-02 eta: 21:18:24 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 6.3559 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0997 loss: 2.0997 2022/06/29 22:01:52 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 22:01:53 - mmengine - INFO - Epoch(train) [26][3080/3757] lr: 1.000e-02 eta: 21:18:18 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.4264 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7963 loss: 1.7963 2022/06/29 22:01:59 - mmengine - INFO - Epoch(train) [26][3100/3757] lr: 1.000e-02 eta: 21:18:14 time: 0.763 data_time: 0.020 memory: 6404 grad_norm: 5.2513 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0062 loss: 2.0062 2022/06/29 22:02:04 - mmengine - INFO - Epoch(train) [26][3120/3757] lr: 1.000e-02 eta: 21:18:08 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.1906 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.5448 loss: 2.5448 2022/06/29 22:02:10 - mmengine - INFO - Epoch(train) [26][3140/3757] lr: 1.000e-02 eta: 21:18:02 time: 0.264 data_time: 0.020 memory: 6404 grad_norm: 6.5739 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2007 loss: 2.2007 2022/06/29 22:02:15 - mmengine - INFO - Epoch(train) [26][3160/3757] lr: 1.000e-02 eta: 21:17:57 time: 0.460 data_time: 0.018 memory: 6404 grad_norm: 5.8416 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3039 loss: 2.3039 2022/06/29 22:02:21 - mmengine - INFO - Epoch(train) [26][3180/3757] lr: 1.000e-02 eta: 21:17:52 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 5.4121 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7755 loss: 1.7755 2022/06/29 22:02:27 - mmengine - INFO - Epoch(train) [26][3200/3757] lr: 1.000e-02 eta: 21:17:47 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.8150 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1214 loss: 2.1214 2022/06/29 22:02:32 - mmengine - INFO - Epoch(train) [26][3220/3757] lr: 1.000e-02 eta: 21:17:41 time: 0.267 data_time: 0.030 memory: 6404 grad_norm: 5.2138 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8810 loss: 1.8810 2022/06/29 22:02:37 - mmengine - INFO - Epoch(train) [26][3240/3757] lr: 1.000e-02 eta: 21:17:34 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 5.1868 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7755 loss: 1.7755 2022/06/29 22:02:43 - mmengine - INFO - Epoch(train) [26][3260/3757] lr: 1.000e-02 eta: 21:17:29 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 5.7631 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2719 loss: 2.2719 2022/06/29 22:02:48 - mmengine - INFO - Epoch(train) [26][3280/3757] lr: 1.000e-02 eta: 21:17:23 time: 0.423 data_time: 0.018 memory: 6404 grad_norm: 5.5483 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4180 loss: 2.4180 2022/06/29 22:02:54 - mmengine - INFO - Epoch(train) [26][3300/3757] lr: 1.000e-02 eta: 21:17:18 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 5.8938 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6133 loss: 1.6133 2022/06/29 22:02:59 - mmengine - INFO - Epoch(train) [26][3320/3757] lr: 1.000e-02 eta: 21:17:13 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 5.6342 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0161 loss: 2.0161 2022/06/29 22:03:05 - mmengine - INFO - Epoch(train) [26][3340/3757] lr: 1.000e-02 eta: 21:17:08 time: 0.450 data_time: 0.020 memory: 6404 grad_norm: 5.8005 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3242 loss: 2.3242 2022/06/29 22:03:11 - mmengine - INFO - Epoch(train) [26][3360/3757] lr: 1.000e-02 eta: 21:17:03 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 5.1084 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8566 loss: 1.8566 2022/06/29 22:03:16 - mmengine - INFO - Epoch(train) [26][3380/3757] lr: 1.000e-02 eta: 21:16:58 time: 0.283 data_time: 0.008 memory: 6404 grad_norm: 5.1822 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0929 loss: 2.0929 2022/06/29 22:03:22 - mmengine - INFO - Epoch(train) [26][3400/3757] lr: 1.000e-02 eta: 21:16:53 time: 0.254 data_time: 0.041 memory: 6404 grad_norm: 5.4406 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8392 loss: 1.8392 2022/06/29 22:03:27 - mmengine - INFO - Epoch(train) [26][3420/3757] lr: 1.000e-02 eta: 21:16:46 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.5698 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0215 loss: 2.0215 2022/06/29 22:03:32 - mmengine - INFO - Epoch(train) [26][3440/3757] lr: 1.000e-02 eta: 21:16:40 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.4156 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2033 loss: 2.2033 2022/06/29 22:03:38 - mmengine - INFO - Epoch(train) [26][3460/3757] lr: 1.000e-02 eta: 21:16:33 time: 0.266 data_time: 0.020 memory: 6404 grad_norm: 6.0235 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.7230 loss: 1.7230 2022/06/29 22:03:44 - mmengine - INFO - Epoch(train) [26][3480/3757] lr: 1.000e-02 eta: 21:16:29 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.7994 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9977 loss: 1.9977 2022/06/29 22:03:49 - mmengine - INFO - Epoch(train) [26][3500/3757] lr: 1.000e-02 eta: 21:16:24 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.8898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1440 loss: 2.1440 2022/06/29 22:03:55 - mmengine - INFO - Epoch(train) [26][3520/3757] lr: 1.000e-02 eta: 21:16:18 time: 0.266 data_time: 0.010 memory: 6404 grad_norm: 5.4642 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5866 loss: 1.5866 2022/06/29 22:04:00 - mmengine - INFO - Epoch(train) [26][3540/3757] lr: 1.000e-02 eta: 21:16:12 time: 0.276 data_time: 0.024 memory: 6404 grad_norm: 5.2793 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5779 loss: 1.5779 2022/06/29 22:04:05 - mmengine - INFO - Epoch(train) [26][3560/3757] lr: 1.000e-02 eta: 21:16:06 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 6.0835 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5595 loss: 1.5595 2022/06/29 22:04:10 - mmengine - INFO - Epoch(train) [26][3580/3757] lr: 1.000e-02 eta: 21:15:59 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 5.5690 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9306 loss: 1.9306 2022/06/29 22:04:16 - mmengine - INFO - Epoch(train) [26][3600/3757] lr: 1.000e-02 eta: 21:15:55 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.7088 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1379 loss: 2.1379 2022/06/29 22:04:21 - mmengine - INFO - Epoch(train) [26][3620/3757] lr: 1.000e-02 eta: 21:15:48 time: 0.242 data_time: 0.017 memory: 6404 grad_norm: 5.3488 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9240 loss: 1.9240 2022/06/29 22:04:27 - mmengine - INFO - Epoch(train) [26][3640/3757] lr: 1.000e-02 eta: 21:15:42 time: 0.245 data_time: 0.042 memory: 6404 grad_norm: 5.9886 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7791 loss: 1.7791 2022/06/29 22:04:32 - mmengine - INFO - Epoch(train) [26][3660/3757] lr: 1.000e-02 eta: 21:15:37 time: 0.321 data_time: 0.010 memory: 6404 grad_norm: 6.7240 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9682 loss: 1.9682 2022/06/29 22:04:38 - mmengine - INFO - Epoch(train) [26][3680/3757] lr: 1.000e-02 eta: 21:15:32 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 6.2322 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2270 loss: 2.2270 2022/06/29 22:04:43 - mmengine - INFO - Epoch(train) [26][3700/3757] lr: 1.000e-02 eta: 21:15:27 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 5.5961 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6707 loss: 1.6707 2022/06/29 22:04:49 - mmengine - INFO - Epoch(train) [26][3720/3757] lr: 1.000e-02 eta: 21:15:22 time: 0.609 data_time: 0.010 memory: 6404 grad_norm: 5.9822 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1921 loss: 2.1921 2022/06/29 22:04:55 - mmengine - INFO - Epoch(train) [26][3740/3757] lr: 1.000e-02 eta: 21:15:17 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 5.2792 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0983 loss: 2.0983 2022/06/29 22:04:59 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 22:05:06 - mmengine - INFO - Epoch(val) [26][20/310] eta: 0:01:26 time: 0.093 data_time: 0.015 memory: 6404 2022/06/29 22:05:12 - mmengine - INFO - Epoch(val) [26][40/310] eta: 0:01:24 time: 0.544 data_time: 0.473 memory: 1479 2022/06/29 22:05:16 - mmengine - INFO - Epoch(val) [26][60/310] eta: 0:00:29 time: 0.085 data_time: 0.006 memory: 1479 2022/06/29 22:05:22 - mmengine - INFO - Epoch(val) [26][80/310] eta: 0:01:09 time: 0.078 data_time: 0.005 memory: 1479 2022/06/29 22:05:28 - mmengine - INFO - Epoch(val) [26][100/310] eta: 0:00:59 time: 1.170 data_time: 1.087 memory: 1479 2022/06/29 22:05:32 - mmengine - INFO - Epoch(val) [26][120/310] eta: 0:00:36 time: 0.086 data_time: 0.007 memory: 1479 2022/06/29 22:05:38 - mmengine - INFO - Epoch(val) [26][140/310] eta: 0:00:52 time: 0.086 data_time: 0.008 memory: 1479 2022/06/29 22:05:44 - mmengine - INFO - Epoch(val) [26][160/310] eta: 0:00:44 time: 1.872 data_time: 1.779 memory: 1479 2022/06/29 22:05:48 - mmengine - INFO - Epoch(val) [26][180/310] eta: 0:00:40 time: 0.082 data_time: 0.007 memory: 1479 2022/06/29 22:05:54 - mmengine - INFO - Epoch(val) [26][200/310] eta: 0:00:32 time: 0.078 data_time: 0.006 memory: 1479 2022/06/29 22:06:00 - mmengine - INFO - Epoch(val) [26][220/310] eta: 0:00:30 time: 1.460 data_time: 1.163 memory: 1479 2022/06/29 22:06:04 - mmengine - INFO - Epoch(val) [26][240/310] eta: 0:00:19 time: 0.084 data_time: 0.007 memory: 1479 2022/06/29 22:06:10 - mmengine - INFO - Epoch(val) [26][260/310] eta: 0:00:16 time: 0.079 data_time: 0.006 memory: 1479 2022/06/29 22:06:16 - mmengine - INFO - Epoch(val) [26][280/310] eta: 0:00:09 time: 2.222 data_time: 2.140 memory: 1479 2022/06/29 22:06:20 - mmengine - INFO - Epoch(val) [26][300/310] eta: 0:00:02 time: 0.081 data_time: 0.006 memory: 1479 2022/06/29 22:06:22 - mmengine - INFO - Epoch(val) [26][310/310] acc/top1: 0.5630 acc/top5: 0.8049 acc/mean1: 0.5629 2022/06/29 22:06:31 - mmengine - INFO - Epoch(train) [27][20/3757] lr: 1.000e-02 eta: 21:15:09 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 6.5817 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0693 loss: 2.0693 2022/06/29 22:06:37 - mmengine - INFO - Epoch(train) [27][40/3757] lr: 1.000e-02 eta: 21:15:04 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.3511 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8392 loss: 1.8392 2022/06/29 22:06:42 - mmengine - INFO - Epoch(train) [27][60/3757] lr: 1.000e-02 eta: 21:14:58 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.5202 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2467 loss: 2.2467 2022/06/29 22:06:47 - mmengine - INFO - Epoch(train) [27][80/3757] lr: 1.000e-02 eta: 21:14:52 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.9851 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6971 loss: 1.6971 2022/06/29 22:06:53 - mmengine - INFO - Epoch(train) [27][100/3757] lr: 1.000e-02 eta: 21:14:47 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.4377 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7130 loss: 1.7130 2022/06/29 22:06:58 - mmengine - INFO - Epoch(train) [27][120/3757] lr: 1.000e-02 eta: 21:14:40 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.1992 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8714 loss: 1.8714 2022/06/29 22:07:04 - mmengine - INFO - Epoch(train) [27][140/3757] lr: 1.000e-02 eta: 21:14:35 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 5.2254 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1826 loss: 2.1826 2022/06/29 22:07:10 - mmengine - INFO - Epoch(train) [27][160/3757] lr: 1.000e-02 eta: 21:14:31 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.8639 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0030 loss: 2.0030 2022/06/29 22:07:15 - mmengine - INFO - Epoch(train) [27][180/3757] lr: 1.000e-02 eta: 21:14:25 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 4.5132 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9286 loss: 1.9286 2022/06/29 22:07:21 - mmengine - INFO - Epoch(train) [27][200/3757] lr: 1.000e-02 eta: 21:14:19 time: 0.241 data_time: 0.011 memory: 6404 grad_norm: 5.4250 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.7303 loss: 1.7303 2022/06/29 22:07:26 - mmengine - INFO - Epoch(train) [27][220/3757] lr: 1.000e-02 eta: 21:14:14 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 5.8562 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6054 loss: 1.6054 2022/06/29 22:07:32 - mmengine - INFO - Epoch(train) [27][240/3757] lr: 1.000e-02 eta: 21:14:09 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 5.1993 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8160 loss: 1.8160 2022/06/29 22:07:38 - mmengine - INFO - Epoch(train) [27][260/3757] lr: 1.000e-02 eta: 21:14:05 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 6.4621 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9904 loss: 1.9904 2022/06/29 22:07:43 - mmengine - INFO - Epoch(train) [27][280/3757] lr: 1.000e-02 eta: 21:13:59 time: 0.245 data_time: 0.012 memory: 6404 grad_norm: 6.4264 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1935 loss: 2.1935 2022/06/29 22:07:48 - mmengine - INFO - Epoch(train) [27][300/3757] lr: 1.000e-02 eta: 21:13:52 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 4.9509 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0096 loss: 2.0096 2022/06/29 22:07:53 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 22:07:54 - mmengine - INFO - Epoch(train) [27][320/3757] lr: 1.000e-02 eta: 21:13:46 time: 0.237 data_time: 0.019 memory: 6404 grad_norm: 5.9638 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7814 loss: 1.7814 2022/06/29 22:07:59 - mmengine - INFO - Epoch(train) [27][340/3757] lr: 1.000e-02 eta: 21:13:41 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.8223 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0354 loss: 2.0354 2022/06/29 22:08:05 - mmengine - INFO - Epoch(train) [27][360/3757] lr: 1.000e-02 eta: 21:13:35 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 5.4208 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6557 loss: 1.6557 2022/06/29 22:08:10 - mmengine - INFO - Epoch(train) [27][380/3757] lr: 1.000e-02 eta: 21:13:29 time: 0.261 data_time: 0.024 memory: 6404 grad_norm: 4.7380 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9415 loss: 1.9415 2022/06/29 22:08:16 - mmengine - INFO - Epoch(train) [27][400/3757] lr: 1.000e-02 eta: 21:13:24 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.8273 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4501 loss: 1.4501 2022/06/29 22:08:21 - mmengine - INFO - Epoch(train) [27][420/3757] lr: 1.000e-02 eta: 21:13:18 time: 0.259 data_time: 0.030 memory: 6404 grad_norm: 4.8824 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6167 loss: 1.6167 2022/06/29 22:08:27 - mmengine - INFO - Epoch(train) [27][440/3757] lr: 1.000e-02 eta: 21:13:13 time: 0.256 data_time: 0.055 memory: 6404 grad_norm: 5.6193 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8417 loss: 1.8417 2022/06/29 22:08:32 - mmengine - INFO - Epoch(train) [27][460/3757] lr: 1.000e-02 eta: 21:13:08 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.1026 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1333 loss: 2.1333 2022/06/29 22:08:38 - mmengine - INFO - Epoch(train) [27][480/3757] lr: 1.000e-02 eta: 21:13:02 time: 0.260 data_time: 0.023 memory: 6404 grad_norm: 5.4928 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8662 loss: 1.8662 2022/06/29 22:08:43 - mmengine - INFO - Epoch(train) [27][500/3757] lr: 1.000e-02 eta: 21:12:56 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.7356 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1005 loss: 2.1005 2022/06/29 22:08:48 - mmengine - INFO - Epoch(train) [27][520/3757] lr: 1.000e-02 eta: 21:12:50 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.2560 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0236 loss: 2.0236 2022/06/29 22:08:54 - mmengine - INFO - Epoch(train) [27][540/3757] lr: 1.000e-02 eta: 21:12:44 time: 0.250 data_time: 0.028 memory: 6404 grad_norm: 6.5276 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2578 loss: 2.2578 2022/06/29 22:08:59 - mmengine - INFO - Epoch(train) [27][560/3757] lr: 1.000e-02 eta: 21:12:39 time: 0.251 data_time: 0.016 memory: 6404 grad_norm: 5.9002 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3117 loss: 2.3117 2022/06/29 22:09:05 - mmengine - INFO - Epoch(train) [27][580/3757] lr: 1.000e-02 eta: 21:12:33 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.4938 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9561 loss: 1.9561 2022/06/29 22:09:10 - mmengine - INFO - Epoch(train) [27][600/3757] lr: 1.000e-02 eta: 21:12:27 time: 0.256 data_time: 0.032 memory: 6404 grad_norm: 5.5521 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9153 loss: 1.9153 2022/06/29 22:09:16 - mmengine - INFO - Epoch(train) [27][620/3757] lr: 1.000e-02 eta: 21:12:22 time: 0.246 data_time: 0.018 memory: 6404 grad_norm: 5.6481 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.2961 loss: 2.2961 2022/06/29 22:09:21 - mmengine - INFO - Epoch(train) [27][640/3757] lr: 1.000e-02 eta: 21:12:17 time: 0.241 data_time: 0.008 memory: 6404 grad_norm: 5.8389 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1592 loss: 2.1592 2022/06/29 22:09:27 - mmengine - INFO - Epoch(train) [27][660/3757] lr: 1.000e-02 eta: 21:12:12 time: 0.249 data_time: 0.015 memory: 6404 grad_norm: 6.1565 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0037 loss: 2.0037 2022/06/29 22:09:33 - mmengine - INFO - Epoch(train) [27][680/3757] lr: 1.000e-02 eta: 21:12:07 time: 0.264 data_time: 0.018 memory: 6404 grad_norm: 6.5059 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7526 loss: 1.7526 2022/06/29 22:09:38 - mmengine - INFO - Epoch(train) [27][700/3757] lr: 1.000e-02 eta: 21:12:01 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 4.8799 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6236 loss: 1.6236 2022/06/29 22:09:43 - mmengine - INFO - Epoch(train) [27][720/3757] lr: 1.000e-02 eta: 21:11:55 time: 0.250 data_time: 0.014 memory: 6404 grad_norm: 5.2852 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2248 loss: 2.2248 2022/06/29 22:09:49 - mmengine - INFO - Epoch(train) [27][740/3757] lr: 1.000e-02 eta: 21:11:49 time: 0.255 data_time: 0.014 memory: 6404 grad_norm: 6.0986 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3420 loss: 2.3420 2022/06/29 22:09:54 - mmengine - INFO - Epoch(train) [27][760/3757] lr: 1.000e-02 eta: 21:11:42 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.0279 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7772 loss: 1.7772 2022/06/29 22:09:59 - mmengine - INFO - Epoch(train) [27][780/3757] lr: 1.000e-02 eta: 21:11:36 time: 0.240 data_time: 0.022 memory: 6404 grad_norm: 5.8242 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7982 loss: 1.7982 2022/06/29 22:10:04 - mmengine - INFO - Epoch(train) [27][800/3757] lr: 1.000e-02 eta: 21:11:30 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 6.1052 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7511 loss: 1.7511 2022/06/29 22:10:09 - mmengine - INFO - Epoch(train) [27][820/3757] lr: 1.000e-02 eta: 21:11:23 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 4.3377 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3024 loss: 2.3024 2022/06/29 22:10:15 - mmengine - INFO - Epoch(train) [27][840/3757] lr: 1.000e-02 eta: 21:11:18 time: 0.247 data_time: 0.019 memory: 6404 grad_norm: 4.5336 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7347 loss: 1.7347 2022/06/29 22:10:21 - mmengine - INFO - Epoch(train) [27][860/3757] lr: 1.000e-02 eta: 21:11:14 time: 0.273 data_time: 0.012 memory: 6404 grad_norm: 5.6350 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0079 loss: 2.0079 2022/06/29 22:10:27 - mmengine - INFO - Epoch(train) [27][880/3757] lr: 1.000e-02 eta: 21:11:09 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 5.4437 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3158 loss: 2.3158 2022/06/29 22:10:32 - mmengine - INFO - Epoch(train) [27][900/3757] lr: 1.000e-02 eta: 21:11:03 time: 0.244 data_time: 0.028 memory: 6404 grad_norm: 5.1084 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9922 loss: 1.9922 2022/06/29 22:10:38 - mmengine - INFO - Epoch(train) [27][920/3757] lr: 1.000e-02 eta: 21:10:59 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 6.0324 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9818 loss: 1.9818 2022/06/29 22:10:44 - mmengine - INFO - Epoch(train) [27][940/3757] lr: 1.000e-02 eta: 21:10:53 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 6.2184 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4821 loss: 2.4821 2022/06/29 22:10:49 - mmengine - INFO - Epoch(train) [27][960/3757] lr: 1.000e-02 eta: 21:10:47 time: 0.249 data_time: 0.014 memory: 6404 grad_norm: 5.6736 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9504 loss: 1.9504 2022/06/29 22:10:54 - mmengine - INFO - Epoch(train) [27][980/3757] lr: 1.000e-02 eta: 21:10:41 time: 0.240 data_time: 0.012 memory: 6404 grad_norm: 5.9776 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9098 loss: 1.9098 2022/06/29 22:11:00 - mmengine - INFO - Epoch(train) [27][1000/3757] lr: 1.000e-02 eta: 21:10:35 time: 0.265 data_time: 0.009 memory: 6404 grad_norm: 5.3281 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7772 loss: 1.7772 2022/06/29 22:11:05 - mmengine - INFO - Epoch(train) [27][1020/3757] lr: 1.000e-02 eta: 21:10:30 time: 0.370 data_time: 0.011 memory: 6404 grad_norm: 5.6993 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0864 loss: 2.0864 2022/06/29 22:11:11 - mmengine - INFO - Epoch(train) [27][1040/3757] lr: 1.000e-02 eta: 21:10:25 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 6.0407 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4326 loss: 2.4326 2022/06/29 22:11:16 - mmengine - INFO - Epoch(train) [27][1060/3757] lr: 1.000e-02 eta: 21:10:19 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 5.6306 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8655 loss: 1.8655 2022/06/29 22:11:22 - mmengine - INFO - Epoch(train) [27][1080/3757] lr: 1.000e-02 eta: 21:10:15 time: 0.254 data_time: 0.016 memory: 6404 grad_norm: 5.7424 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1876 loss: 2.1876 2022/06/29 22:11:27 - mmengine - INFO - Epoch(train) [27][1100/3757] lr: 1.000e-02 eta: 21:10:09 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 6.0738 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0699 loss: 2.0699 2022/06/29 22:11:33 - mmengine - INFO - Epoch(train) [27][1120/3757] lr: 1.000e-02 eta: 21:10:03 time: 0.461 data_time: 0.007 memory: 6404 grad_norm: 4.7833 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9874 loss: 1.9874 2022/06/29 22:11:38 - mmengine - INFO - Epoch(train) [27][1140/3757] lr: 1.000e-02 eta: 21:09:58 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 4.9977 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2658 loss: 2.2658 2022/06/29 22:11:44 - mmengine - INFO - Epoch(train) [27][1160/3757] lr: 1.000e-02 eta: 21:09:52 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 5.7186 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1807 loss: 2.1807 2022/06/29 22:11:50 - mmengine - INFO - Epoch(train) [27][1180/3757] lr: 1.000e-02 eta: 21:09:48 time: 0.262 data_time: 0.013 memory: 6404 grad_norm: 5.1915 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1539 loss: 2.1539 2022/06/29 22:11:55 - mmengine - INFO - Epoch(train) [27][1200/3757] lr: 1.000e-02 eta: 21:09:42 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 7.1808 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9710 loss: 1.9710 2022/06/29 22:12:01 - mmengine - INFO - Epoch(train) [27][1220/3757] lr: 1.000e-02 eta: 21:09:36 time: 0.395 data_time: 0.009 memory: 6404 grad_norm: 6.2316 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4185 loss: 1.4185 2022/06/29 22:12:06 - mmengine - INFO - Epoch(train) [27][1240/3757] lr: 1.000e-02 eta: 21:09:30 time: 0.442 data_time: 0.007 memory: 6404 grad_norm: 5.5808 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1547 loss: 2.1547 2022/06/29 22:12:11 - mmengine - INFO - Epoch(train) [27][1260/3757] lr: 1.000e-02 eta: 21:09:24 time: 0.283 data_time: 0.007 memory: 6404 grad_norm: 5.3222 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9967 loss: 1.9967 2022/06/29 22:12:17 - mmengine - INFO - Epoch(train) [27][1280/3757] lr: 1.000e-02 eta: 21:09:18 time: 0.245 data_time: 0.009 memory: 6404 grad_norm: 5.2499 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0485 loss: 2.0485 2022/06/29 22:12:23 - mmengine - INFO - Epoch(train) [27][1300/3757] lr: 1.000e-02 eta: 21:09:14 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 6.1608 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8120 loss: 1.8120 2022/06/29 22:12:28 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 22:12:28 - mmengine - INFO - Epoch(train) [27][1320/3757] lr: 1.000e-02 eta: 21:09:08 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 5.3799 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7128 loss: 1.7128 2022/06/29 22:12:33 - mmengine - INFO - Epoch(train) [27][1340/3757] lr: 1.000e-02 eta: 21:09:01 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 5.5889 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8576 loss: 1.8576 2022/06/29 22:12:39 - mmengine - INFO - Epoch(train) [27][1360/3757] lr: 1.000e-02 eta: 21:08:56 time: 0.367 data_time: 0.009 memory: 6404 grad_norm: 5.3904 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2613 loss: 2.2613 2022/06/29 22:12:44 - mmengine - INFO - Epoch(train) [27][1380/3757] lr: 1.000e-02 eta: 21:08:51 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 4.9370 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9195 loss: 1.9195 2022/06/29 22:12:50 - mmengine - INFO - Epoch(train) [27][1400/3757] lr: 1.000e-02 eta: 21:08:46 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 6.4517 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7889 loss: 1.7889 2022/06/29 22:12:55 - mmengine - INFO - Epoch(train) [27][1420/3757] lr: 1.000e-02 eta: 21:08:40 time: 0.527 data_time: 0.010 memory: 6404 grad_norm: 5.8105 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5658 loss: 1.5658 2022/06/29 22:13:01 - mmengine - INFO - Epoch(train) [27][1440/3757] lr: 1.000e-02 eta: 21:08:36 time: 0.265 data_time: 0.009 memory: 6404 grad_norm: 6.1787 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7536 loss: 1.7536 2022/06/29 22:13:07 - mmengine - INFO - Epoch(train) [27][1460/3757] lr: 1.000e-02 eta: 21:08:30 time: 0.240 data_time: 0.008 memory: 6404 grad_norm: 5.6514 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9874 loss: 1.9874 2022/06/29 22:13:12 - mmengine - INFO - Epoch(train) [27][1480/3757] lr: 1.000e-02 eta: 21:08:24 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.1924 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0025 loss: 2.0025 2022/06/29 22:13:18 - mmengine - INFO - Epoch(train) [27][1500/3757] lr: 1.000e-02 eta: 21:08:19 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.5201 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6561 loss: 1.6561 2022/06/29 22:13:24 - mmengine - INFO - Epoch(train) [27][1520/3757] lr: 1.000e-02 eta: 21:08:15 time: 0.269 data_time: 0.012 memory: 6404 grad_norm: 5.8819 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2689 loss: 2.2689 2022/06/29 22:13:29 - mmengine - INFO - Epoch(train) [27][1540/3757] lr: 1.000e-02 eta: 21:08:09 time: 0.252 data_time: 0.018 memory: 6404 grad_norm: 5.0809 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1042 loss: 2.1042 2022/06/29 22:13:35 - mmengine - INFO - Epoch(train) [27][1560/3757] lr: 1.000e-02 eta: 21:08:03 time: 0.242 data_time: 0.008 memory: 6404 grad_norm: 6.2494 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7405 loss: 1.7405 2022/06/29 22:13:40 - mmengine - INFO - Epoch(train) [27][1580/3757] lr: 1.000e-02 eta: 21:07:57 time: 0.256 data_time: 0.066 memory: 6404 grad_norm: 5.4790 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0458 loss: 2.0458 2022/06/29 22:13:45 - mmengine - INFO - Epoch(train) [27][1600/3757] lr: 1.000e-02 eta: 21:07:51 time: 0.264 data_time: 0.006 memory: 6404 grad_norm: 4.9831 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2129 loss: 2.2129 2022/06/29 22:13:51 - mmengine - INFO - Epoch(train) [27][1620/3757] lr: 1.000e-02 eta: 21:07:45 time: 0.281 data_time: 0.007 memory: 6404 grad_norm: 6.4259 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9562 loss: 1.9562 2022/06/29 22:13:56 - mmengine - INFO - Epoch(train) [27][1640/3757] lr: 1.000e-02 eta: 21:07:40 time: 0.253 data_time: 0.025 memory: 6404 grad_norm: 6.3715 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5236 loss: 2.5236 2022/06/29 22:14:02 - mmengine - INFO - Epoch(train) [27][1660/3757] lr: 1.000e-02 eta: 21:07:35 time: 0.248 data_time: 0.013 memory: 6404 grad_norm: 5.2236 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0292 loss: 2.0292 2022/06/29 22:14:07 - mmengine - INFO - Epoch(train) [27][1680/3757] lr: 1.000e-02 eta: 21:07:29 time: 0.237 data_time: 0.006 memory: 6404 grad_norm: 4.8245 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6027 loss: 1.6027 2022/06/29 22:14:13 - mmengine - INFO - Epoch(train) [27][1700/3757] lr: 1.000e-02 eta: 21:07:23 time: 0.282 data_time: 0.022 memory: 6404 grad_norm: 6.0187 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9270 loss: 1.9270 2022/06/29 22:14:18 - mmengine - INFO - Epoch(train) [27][1720/3757] lr: 1.000e-02 eta: 21:07:17 time: 0.249 data_time: 0.018 memory: 6404 grad_norm: 5.7115 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8537 loss: 1.8537 2022/06/29 22:14:24 - mmengine - INFO - Epoch(train) [27][1740/3757] lr: 1.000e-02 eta: 21:07:12 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.9187 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7670 loss: 1.7670 2022/06/29 22:14:30 - mmengine - INFO - Epoch(train) [27][1760/3757] lr: 1.000e-02 eta: 21:07:08 time: 0.946 data_time: 0.027 memory: 6404 grad_norm: 5.5426 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2329 loss: 2.2329 2022/06/29 22:14:36 - mmengine - INFO - Epoch(train) [27][1780/3757] lr: 1.000e-02 eta: 21:07:05 time: 0.237 data_time: 0.015 memory: 6404 grad_norm: 5.1769 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7270 loss: 1.7270 2022/06/29 22:14:41 - mmengine - INFO - Epoch(train) [27][1800/3757] lr: 1.000e-02 eta: 21:06:58 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 5.0509 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2192 loss: 2.2192 2022/06/29 22:14:46 - mmengine - INFO - Epoch(train) [27][1820/3757] lr: 1.000e-02 eta: 21:06:52 time: 0.267 data_time: 0.013 memory: 6404 grad_norm: 5.8385 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8223 loss: 1.8223 2022/06/29 22:14:52 - mmengine - INFO - Epoch(train) [27][1840/3757] lr: 1.000e-02 eta: 21:06:46 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.3373 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2328 loss: 2.2328 2022/06/29 22:14:57 - mmengine - INFO - Epoch(train) [27][1860/3757] lr: 1.000e-02 eta: 21:06:39 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 5.3996 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2109 loss: 2.2109 2022/06/29 22:15:02 - mmengine - INFO - Epoch(train) [27][1880/3757] lr: 1.000e-02 eta: 21:06:34 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.2260 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8842 loss: 1.8842 2022/06/29 22:15:08 - mmengine - INFO - Epoch(train) [27][1900/3757] lr: 1.000e-02 eta: 21:06:28 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.5448 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9525 loss: 1.9525 2022/06/29 22:15:14 - mmengine - INFO - Epoch(train) [27][1920/3757] lr: 1.000e-02 eta: 21:06:25 time: 0.306 data_time: 0.011 memory: 6404 grad_norm: 5.9095 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7487 loss: 1.7487 2022/06/29 22:15:19 - mmengine - INFO - Epoch(train) [27][1940/3757] lr: 1.000e-02 eta: 21:06:19 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.7694 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7465 loss: 1.7465 2022/06/29 22:15:25 - mmengine - INFO - Epoch(train) [27][1960/3757] lr: 1.000e-02 eta: 21:06:14 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.9831 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0217 loss: 2.0217 2022/06/29 22:15:31 - mmengine - INFO - Epoch(train) [27][1980/3757] lr: 1.000e-02 eta: 21:06:08 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.4248 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7676 loss: 1.7676 2022/06/29 22:15:36 - mmengine - INFO - Epoch(train) [27][2000/3757] lr: 1.000e-02 eta: 21:06:01 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.9177 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0277 loss: 2.0277 2022/06/29 22:15:42 - mmengine - INFO - Epoch(train) [27][2020/3757] lr: 1.000e-02 eta: 21:05:58 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.8892 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1684 loss: 2.1684 2022/06/29 22:15:47 - mmengine - INFO - Epoch(train) [27][2040/3757] lr: 1.000e-02 eta: 21:05:51 time: 0.239 data_time: 0.015 memory: 6404 grad_norm: 6.2141 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9079 loss: 1.9079 2022/06/29 22:15:53 - mmengine - INFO - Epoch(train) [27][2060/3757] lr: 1.000e-02 eta: 21:05:46 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 6.5529 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3480 loss: 2.3480 2022/06/29 22:15:58 - mmengine - INFO - Epoch(train) [27][2080/3757] lr: 1.000e-02 eta: 21:05:40 time: 0.246 data_time: 0.012 memory: 6404 grad_norm: 5.6544 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1626 loss: 2.1626 2022/06/29 22:16:04 - mmengine - INFO - Epoch(train) [27][2100/3757] lr: 1.000e-02 eta: 21:05:35 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 6.2591 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8466 loss: 1.8466 2022/06/29 22:16:09 - mmengine - INFO - Epoch(train) [27][2120/3757] lr: 1.000e-02 eta: 21:05:29 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 5.8965 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8455 loss: 1.8455 2022/06/29 22:16:15 - mmengine - INFO - Epoch(train) [27][2140/3757] lr: 1.000e-02 eta: 21:05:24 time: 0.245 data_time: 0.013 memory: 6404 grad_norm: 5.3975 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6195 loss: 1.6195 2022/06/29 22:16:20 - mmengine - INFO - Epoch(train) [27][2160/3757] lr: 1.000e-02 eta: 21:05:18 time: 0.251 data_time: 0.015 memory: 6404 grad_norm: 5.3540 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2817 loss: 2.2817 2022/06/29 22:16:25 - mmengine - INFO - Epoch(train) [27][2180/3757] lr: 1.000e-02 eta: 21:05:12 time: 0.246 data_time: 0.018 memory: 6404 grad_norm: 5.0117 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8783 loss: 1.8783 2022/06/29 22:16:31 - mmengine - INFO - Epoch(train) [27][2200/3757] lr: 1.000e-02 eta: 21:05:06 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.7192 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8967 loss: 1.8967 2022/06/29 22:16:36 - mmengine - INFO - Epoch(train) [27][2220/3757] lr: 1.000e-02 eta: 21:05:00 time: 0.266 data_time: 0.012 memory: 6404 grad_norm: 5.1472 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7376 loss: 1.7376 2022/06/29 22:16:42 - mmengine - INFO - Epoch(train) [27][2240/3757] lr: 1.000e-02 eta: 21:04:55 time: 0.253 data_time: 0.018 memory: 6404 grad_norm: 5.7625 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1505 loss: 2.1505 2022/06/29 22:16:47 - mmengine - INFO - Epoch(train) [27][2260/3757] lr: 1.000e-02 eta: 21:04:49 time: 0.319 data_time: 0.119 memory: 6404 grad_norm: 4.8797 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9523 loss: 1.9523 2022/06/29 22:16:53 - mmengine - INFO - Epoch(train) [27][2280/3757] lr: 1.000e-02 eta: 21:04:44 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 5.6640 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2756 loss: 2.2756 2022/06/29 22:16:58 - mmengine - INFO - Epoch(train) [27][2300/3757] lr: 1.000e-02 eta: 21:04:39 time: 0.244 data_time: 0.014 memory: 6404 grad_norm: 5.6667 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3487 loss: 2.3487 2022/06/29 22:17:04 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 22:17:04 - mmengine - INFO - Epoch(train) [27][2320/3757] lr: 1.000e-02 eta: 21:04:35 time: 0.253 data_time: 0.030 memory: 6404 grad_norm: 5.3121 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8050 loss: 1.8050 2022/06/29 22:17:10 - mmengine - INFO - Epoch(train) [27][2340/3757] lr: 1.000e-02 eta: 21:04:29 time: 0.282 data_time: 0.012 memory: 6404 grad_norm: 5.8654 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1429 loss: 2.1429 2022/06/29 22:17:16 - mmengine - INFO - Epoch(train) [27][2360/3757] lr: 1.000e-02 eta: 21:04:24 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 6.2448 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7587 loss: 1.7587 2022/06/29 22:17:21 - mmengine - INFO - Epoch(train) [27][2380/3757] lr: 1.000e-02 eta: 21:04:20 time: 0.334 data_time: 0.116 memory: 6404 grad_norm: 6.5685 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6143 loss: 1.6143 2022/06/29 22:17:27 - mmengine - INFO - Epoch(train) [27][2400/3757] lr: 1.000e-02 eta: 21:04:13 time: 0.256 data_time: 0.013 memory: 6404 grad_norm: 6.6277 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8467 loss: 1.8467 2022/06/29 22:17:32 - mmengine - INFO - Epoch(train) [27][2420/3757] lr: 1.000e-02 eta: 21:04:07 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 6.0578 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4673 loss: 1.4673 2022/06/29 22:17:37 - mmengine - INFO - Epoch(train) [27][2440/3757] lr: 1.000e-02 eta: 21:04:02 time: 0.272 data_time: 0.006 memory: 6404 grad_norm: 6.8872 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9092 loss: 1.9092 2022/06/29 22:17:43 - mmengine - INFO - Epoch(train) [27][2460/3757] lr: 1.000e-02 eta: 21:03:56 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 6.2115 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6348 loss: 1.6348 2022/06/29 22:17:48 - mmengine - INFO - Epoch(train) [27][2480/3757] lr: 1.000e-02 eta: 21:03:50 time: 0.248 data_time: 0.027 memory: 6404 grad_norm: 6.6669 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6991 loss: 1.6991 2022/06/29 22:17:54 - mmengine - INFO - Epoch(train) [27][2500/3757] lr: 1.000e-02 eta: 21:03:45 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 5.9622 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1088 loss: 2.1088 2022/06/29 22:18:00 - mmengine - INFO - Epoch(train) [27][2520/3757] lr: 1.000e-02 eta: 21:03:40 time: 0.246 data_time: 0.015 memory: 6404 grad_norm: 5.0983 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9252 loss: 1.9252 2022/06/29 22:18:05 - mmengine - INFO - Epoch(train) [27][2540/3757] lr: 1.000e-02 eta: 21:03:33 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.0311 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1558 loss: 2.1558 2022/06/29 22:18:10 - mmengine - INFO - Epoch(train) [27][2560/3757] lr: 1.000e-02 eta: 21:03:28 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 5.5331 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3506 loss: 2.3506 2022/06/29 22:18:16 - mmengine - INFO - Epoch(train) [27][2580/3757] lr: 1.000e-02 eta: 21:03:23 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 4.5364 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1695 loss: 2.1695 2022/06/29 22:18:22 - mmengine - INFO - Epoch(train) [27][2600/3757] lr: 1.000e-02 eta: 21:03:18 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 5.7645 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8375 loss: 1.8375 2022/06/29 22:18:27 - mmengine - INFO - Epoch(train) [27][2620/3757] lr: 1.000e-02 eta: 21:03:12 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 4.9757 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.6142 loss: 2.6142 2022/06/29 22:18:32 - mmengine - INFO - Epoch(train) [27][2640/3757] lr: 1.000e-02 eta: 21:03:06 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.6278 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7991 loss: 1.7991 2022/06/29 22:18:38 - mmengine - INFO - Epoch(train) [27][2660/3757] lr: 1.000e-02 eta: 21:03:00 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 6.0019 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1515 loss: 2.1515 2022/06/29 22:18:44 - mmengine - INFO - Epoch(train) [27][2680/3757] lr: 1.000e-02 eta: 21:02:56 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 5.3319 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0273 loss: 2.0273 2022/06/29 22:18:49 - mmengine - INFO - Epoch(train) [27][2700/3757] lr: 1.000e-02 eta: 21:02:51 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 5.7438 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4815 loss: 2.4815 2022/06/29 22:18:55 - mmengine - INFO - Epoch(train) [27][2720/3757] lr: 1.000e-02 eta: 21:02:45 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 6.1188 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2114 loss: 2.2114 2022/06/29 22:19:00 - mmengine - INFO - Epoch(train) [27][2740/3757] lr: 1.000e-02 eta: 21:02:39 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 5.2793 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8202 loss: 1.8202 2022/06/29 22:19:06 - mmengine - INFO - Epoch(train) [27][2760/3757] lr: 1.000e-02 eta: 21:02:34 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.7935 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8944 loss: 1.8944 2022/06/29 22:19:11 - mmengine - INFO - Epoch(train) [27][2780/3757] lr: 1.000e-02 eta: 21:02:29 time: 0.468 data_time: 0.007 memory: 6404 grad_norm: 5.9481 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8678 loss: 1.8678 2022/06/29 22:19:17 - mmengine - INFO - Epoch(train) [27][2800/3757] lr: 1.000e-02 eta: 21:02:23 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.3923 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9480 loss: 1.9480 2022/06/29 22:19:22 - mmengine - INFO - Epoch(train) [27][2820/3757] lr: 1.000e-02 eta: 21:02:17 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 6.1726 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8742 loss: 1.8742 2022/06/29 22:19:27 - mmengine - INFO - Epoch(train) [27][2840/3757] lr: 1.000e-02 eta: 21:02:11 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 4.9128 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8096 loss: 1.8096 2022/06/29 22:19:35 - mmengine - INFO - Epoch(train) [27][2860/3757] lr: 1.000e-02 eta: 21:02:10 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 5.0745 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8497 loss: 1.8497 2022/06/29 22:19:40 - mmengine - INFO - Epoch(train) [27][2880/3757] lr: 1.000e-02 eta: 21:02:03 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 5.8951 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8234 loss: 1.8234 2022/06/29 22:19:45 - mmengine - INFO - Epoch(train) [27][2900/3757] lr: 1.000e-02 eta: 21:01:56 time: 0.266 data_time: 0.012 memory: 6404 grad_norm: 5.6110 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6634 loss: 2.6634 2022/06/29 22:19:50 - mmengine - INFO - Epoch(train) [27][2920/3757] lr: 1.000e-02 eta: 21:01:50 time: 0.246 data_time: 0.021 memory: 6404 grad_norm: 5.6298 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1034 loss: 2.1034 2022/06/29 22:19:55 - mmengine - INFO - Epoch(train) [27][2940/3757] lr: 1.000e-02 eta: 21:01:44 time: 0.250 data_time: 0.018 memory: 6404 grad_norm: 5.0835 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6790 loss: 1.6790 2022/06/29 22:20:00 - mmengine - INFO - Epoch(train) [27][2960/3757] lr: 1.000e-02 eta: 21:01:37 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 5.9414 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9098 loss: 1.9098 2022/06/29 22:20:05 - mmengine - INFO - Epoch(train) [27][2980/3757] lr: 1.000e-02 eta: 21:01:31 time: 0.265 data_time: 0.011 memory: 6404 grad_norm: 5.3867 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7339 loss: 1.7339 2022/06/29 22:20:10 - mmengine - INFO - Epoch(train) [27][3000/3757] lr: 1.000e-02 eta: 21:01:24 time: 0.255 data_time: 0.014 memory: 6404 grad_norm: 5.4605 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2731 loss: 2.2731 2022/06/29 22:20:16 - mmengine - INFO - Epoch(train) [27][3020/3757] lr: 1.000e-02 eta: 21:01:18 time: 0.252 data_time: 0.016 memory: 6404 grad_norm: 5.5421 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1286 loss: 2.1286 2022/06/29 22:20:21 - mmengine - INFO - Epoch(train) [27][3040/3757] lr: 1.000e-02 eta: 21:01:12 time: 0.243 data_time: 0.018 memory: 6404 grad_norm: 6.1031 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2368 loss: 2.2368 2022/06/29 22:20:27 - mmengine - INFO - Epoch(train) [27][3060/3757] lr: 1.000e-02 eta: 21:01:09 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 5.7520 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9991 loss: 1.9991 2022/06/29 22:20:33 - mmengine - INFO - Epoch(train) [27][3080/3757] lr: 1.000e-02 eta: 21:01:03 time: 0.255 data_time: 0.012 memory: 6404 grad_norm: 5.9670 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1581 loss: 2.1581 2022/06/29 22:20:38 - mmengine - INFO - Epoch(train) [27][3100/3757] lr: 1.000e-02 eta: 21:00:56 time: 0.242 data_time: 0.037 memory: 6404 grad_norm: 5.4285 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4224 loss: 2.4224 2022/06/29 22:20:44 - mmengine - INFO - Epoch(train) [27][3120/3757] lr: 1.000e-02 eta: 21:00:51 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 5.4458 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8389 loss: 1.8389 2022/06/29 22:20:49 - mmengine - INFO - Epoch(train) [27][3140/3757] lr: 1.000e-02 eta: 21:00:45 time: 0.245 data_time: 0.013 memory: 6404 grad_norm: 5.6028 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8064 loss: 1.8064 2022/06/29 22:20:55 - mmengine - INFO - Epoch(train) [27][3160/3757] lr: 1.000e-02 eta: 21:00:41 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 5.5072 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9648 loss: 1.9648 2022/06/29 22:21:00 - mmengine - INFO - Epoch(train) [27][3180/3757] lr: 1.000e-02 eta: 21:00:35 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 6.4069 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6395 loss: 1.6395 2022/06/29 22:21:06 - mmengine - INFO - Epoch(train) [27][3200/3757] lr: 1.000e-02 eta: 21:00:29 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 6.2039 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5138 loss: 2.5138 2022/06/29 22:21:11 - mmengine - INFO - Epoch(train) [27][3220/3757] lr: 1.000e-02 eta: 21:00:24 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.3760 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0273 loss: 2.0273 2022/06/29 22:21:17 - mmengine - INFO - Epoch(train) [27][3240/3757] lr: 1.000e-02 eta: 21:00:18 time: 0.411 data_time: 0.009 memory: 6404 grad_norm: 5.4346 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9289 loss: 1.9289 2022/06/29 22:21:22 - mmengine - INFO - Epoch(train) [27][3260/3757] lr: 1.000e-02 eta: 21:00:13 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.7562 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9337 loss: 1.9337 2022/06/29 22:21:27 - mmengine - INFO - Epoch(train) [27][3280/3757] lr: 1.000e-02 eta: 21:00:06 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.7839 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7008 loss: 1.7008 2022/06/29 22:21:33 - mmengine - INFO - Epoch(train) [27][3300/3757] lr: 1.000e-02 eta: 21:00:01 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 6.2756 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.7056 loss: 1.7056 2022/06/29 22:21:39 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 22:21:40 - mmengine - INFO - Epoch(train) [27][3320/3757] lr: 1.000e-02 eta: 20:59:59 time: 0.250 data_time: 0.034 memory: 6404 grad_norm: 4.8095 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9648 loss: 1.9648 2022/06/29 22:21:45 - mmengine - INFO - Epoch(train) [27][3340/3757] lr: 1.000e-02 eta: 20:59:53 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 6.2578 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2827 loss: 2.2827 2022/06/29 22:21:50 - mmengine - INFO - Epoch(train) [27][3360/3757] lr: 1.000e-02 eta: 20:59:46 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 5.4479 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0322 loss: 2.0322 2022/06/29 22:21:55 - mmengine - INFO - Epoch(train) [27][3380/3757] lr: 1.000e-02 eta: 20:59:40 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 5.4506 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0844 loss: 2.0844 2022/06/29 22:22:00 - mmengine - INFO - Epoch(train) [27][3400/3757] lr: 1.000e-02 eta: 20:59:33 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.3267 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6815 loss: 1.6815 2022/06/29 22:22:05 - mmengine - INFO - Epoch(train) [27][3420/3757] lr: 1.000e-02 eta: 20:59:26 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.7932 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0395 loss: 2.0395 2022/06/29 22:22:11 - mmengine - INFO - Epoch(train) [27][3440/3757] lr: 1.000e-02 eta: 20:59:20 time: 0.245 data_time: 0.029 memory: 6404 grad_norm: 6.0640 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0210 loss: 2.0210 2022/06/29 22:22:16 - mmengine - INFO - Epoch(train) [27][3460/3757] lr: 1.000e-02 eta: 20:59:15 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 5.8714 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4714 loss: 2.4714 2022/06/29 22:22:23 - mmengine - INFO - Epoch(train) [27][3480/3757] lr: 1.000e-02 eta: 20:59:12 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 5.3592 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2334 loss: 2.2334 2022/06/29 22:22:28 - mmengine - INFO - Epoch(train) [27][3500/3757] lr: 1.000e-02 eta: 20:59:05 time: 0.246 data_time: 0.017 memory: 6404 grad_norm: 5.9096 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7666 loss: 1.7666 2022/06/29 22:22:33 - mmengine - INFO - Epoch(train) [27][3520/3757] lr: 1.000e-02 eta: 20:58:59 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 6.4156 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8660 loss: 1.8660 2022/06/29 22:22:38 - mmengine - INFO - Epoch(train) [27][3540/3757] lr: 1.000e-02 eta: 20:58:53 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 5.9355 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9402 loss: 1.9402 2022/06/29 22:22:44 - mmengine - INFO - Epoch(train) [27][3560/3757] lr: 1.000e-02 eta: 20:58:47 time: 0.264 data_time: 0.018 memory: 6404 grad_norm: 5.4430 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7589 loss: 1.7589 2022/06/29 22:22:49 - mmengine - INFO - Epoch(train) [27][3580/3757] lr: 1.000e-02 eta: 20:58:40 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.4794 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2348 loss: 2.2348 2022/06/29 22:22:54 - mmengine - INFO - Epoch(train) [27][3600/3757] lr: 1.000e-02 eta: 20:58:35 time: 0.263 data_time: 0.055 memory: 6404 grad_norm: 5.8855 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2864 loss: 2.2864 2022/06/29 22:23:00 - mmengine - INFO - Epoch(train) [27][3620/3757] lr: 1.000e-02 eta: 20:58:29 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.8330 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.7258 loss: 1.7258 2022/06/29 22:23:05 - mmengine - INFO - Epoch(train) [27][3640/3757] lr: 1.000e-02 eta: 20:58:24 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.5464 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7025 loss: 1.7025 2022/06/29 22:23:12 - mmengine - INFO - Epoch(train) [27][3660/3757] lr: 1.000e-02 eta: 20:58:21 time: 0.281 data_time: 0.083 memory: 6404 grad_norm: 5.5395 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.6127 loss: 1.6127 2022/06/29 22:23:17 - mmengine - INFO - Epoch(train) [27][3680/3757] lr: 1.000e-02 eta: 20:58:15 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.2285 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8692 loss: 1.8692 2022/06/29 22:23:22 - mmengine - INFO - Epoch(train) [27][3700/3757] lr: 1.000e-02 eta: 20:58:08 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.2830 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7712 loss: 1.7712 2022/06/29 22:23:28 - mmengine - INFO - Epoch(train) [27][3720/3757] lr: 1.000e-02 eta: 20:58:03 time: 0.282 data_time: 0.013 memory: 6404 grad_norm: 4.6290 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9713 loss: 1.9713 2022/06/29 22:23:34 - mmengine - INFO - Epoch(train) [27][3740/3757] lr: 1.000e-02 eta: 20:57:59 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 5.6780 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8547 loss: 1.8547 2022/06/29 22:23:38 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 22:23:45 - mmengine - INFO - Epoch(val) [27][20/310] eta: 0:01:21 time: 0.097 data_time: 0.016 memory: 6404 2022/06/29 22:23:50 - mmengine - INFO - Epoch(val) [27][40/310] eta: 0:01:12 time: 0.084 data_time: 0.010 memory: 1479 2022/06/29 22:23:54 - mmengine - INFO - Epoch(val) [27][60/310] eta: 0:00:26 time: 0.089 data_time: 0.011 memory: 1479 2022/06/29 22:24:01 - mmengine - INFO - Epoch(val) [27][80/310] eta: 0:01:11 time: 0.090 data_time: 0.009 memory: 1479 2022/06/29 22:24:06 - mmengine - INFO - Epoch(val) [27][100/310] eta: 0:00:59 time: 0.444 data_time: 0.371 memory: 1479 2022/06/29 22:24:10 - mmengine - INFO - Epoch(val) [27][120/310] eta: 0:00:29 time: 0.082 data_time: 0.005 memory: 1479 2022/06/29 22:24:17 - mmengine - INFO - Epoch(val) [27][140/310] eta: 0:00:49 time: 0.089 data_time: 0.006 memory: 1479 2022/06/29 22:24:23 - mmengine - INFO - Epoch(val) [27][160/310] eta: 0:00:49 time: 1.340 data_time: 1.250 memory: 1479 2022/06/29 22:24:27 - mmengine - INFO - Epoch(val) [27][180/310] eta: 0:00:34 time: 0.093 data_time: 0.006 memory: 1479 2022/06/29 22:24:33 - mmengine - INFO - Epoch(val) [27][200/310] eta: 0:00:37 time: 0.095 data_time: 0.006 memory: 1479 2022/06/29 22:24:39 - mmengine - INFO - Epoch(val) [27][220/310] eta: 0:00:25 time: 0.283 data_time: 0.192 memory: 1479 2022/06/29 22:24:43 - mmengine - INFO - Epoch(val) [27][240/310] eta: 0:00:16 time: 0.085 data_time: 0.005 memory: 1479 2022/06/29 22:24:49 - mmengine - INFO - Epoch(val) [27][260/310] eta: 0:00:14 time: 0.092 data_time: 0.008 memory: 1479 2022/06/29 22:24:55 - mmengine - INFO - Epoch(val) [27][280/310] eta: 0:00:08 time: 0.339 data_time: 0.246 memory: 1479 2022/06/29 22:24:59 - mmengine - INFO - Epoch(val) [27][300/310] eta: 0:00:02 time: 0.094 data_time: 0.006 memory: 1479 2022/06/29 22:25:02 - mmengine - INFO - Epoch(val) [27][310/310] acc/top1: 0.5695 acc/top5: 0.8077 acc/mean1: 0.5693 2022/06/29 22:25:12 - mmengine - INFO - Epoch(train) [28][20/3757] lr: 1.000e-02 eta: 20:57:52 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 6.3445 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3273 loss: 2.3273 2022/06/29 22:25:18 - mmengine - INFO - Epoch(train) [28][40/3757] lr: 1.000e-02 eta: 20:57:47 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.4877 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2443 loss: 2.2443 2022/06/29 22:25:23 - mmengine - INFO - Epoch(train) [28][60/3757] lr: 1.000e-02 eta: 20:57:41 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.6564 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8561 loss: 1.8561 2022/06/29 22:25:29 - mmengine - INFO - Epoch(train) [28][80/3757] lr: 1.000e-02 eta: 20:57:37 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 6.7132 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2249 loss: 2.2249 2022/06/29 22:25:35 - mmengine - INFO - Epoch(train) [28][100/3757] lr: 1.000e-02 eta: 20:57:32 time: 0.266 data_time: 0.016 memory: 6404 grad_norm: 6.1334 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6875 loss: 1.6875 2022/06/29 22:25:40 - mmengine - INFO - Epoch(train) [28][120/3757] lr: 1.000e-02 eta: 20:57:26 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.0270 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0260 loss: 2.0260 2022/06/29 22:25:45 - mmengine - INFO - Epoch(train) [28][140/3757] lr: 1.000e-02 eta: 20:57:21 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 4.8258 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9404 loss: 1.9404 2022/06/29 22:25:51 - mmengine - INFO - Epoch(train) [28][160/3757] lr: 1.000e-02 eta: 20:57:15 time: 0.251 data_time: 0.023 memory: 6404 grad_norm: 5.7647 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2979 loss: 2.2979 2022/06/29 22:25:56 - mmengine - INFO - Epoch(train) [28][180/3757] lr: 1.000e-02 eta: 20:57:09 time: 0.251 data_time: 0.016 memory: 6404 grad_norm: 5.7103 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8349 loss: 1.8349 2022/06/29 22:26:02 - mmengine - INFO - Epoch(train) [28][200/3757] lr: 1.000e-02 eta: 20:57:04 time: 0.512 data_time: 0.011 memory: 6404 grad_norm: 5.3302 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9223 loss: 1.9223 2022/06/29 22:26:08 - mmengine - INFO - Epoch(train) [28][220/3757] lr: 1.000e-02 eta: 20:56:59 time: 0.441 data_time: 0.013 memory: 6404 grad_norm: 5.2735 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8748 loss: 1.8748 2022/06/29 22:26:13 - mmengine - INFO - Epoch(train) [28][240/3757] lr: 1.000e-02 eta: 20:56:53 time: 0.247 data_time: 0.046 memory: 6404 grad_norm: 5.4371 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2097 loss: 2.2097 2022/06/29 22:26:18 - mmengine - INFO - Epoch(train) [28][260/3757] lr: 1.000e-02 eta: 20:56:47 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 4.8116 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8420 loss: 1.8420 2022/06/29 22:26:24 - mmengine - INFO - Epoch(train) [28][280/3757] lr: 1.000e-02 eta: 20:56:42 time: 0.271 data_time: 0.011 memory: 6404 grad_norm: 5.2381 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7349 loss: 1.7349 2022/06/29 22:26:29 - mmengine - INFO - Epoch(train) [28][300/3757] lr: 1.000e-02 eta: 20:56:37 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 5.6944 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7770 loss: 1.7770 2022/06/29 22:26:35 - mmengine - INFO - Epoch(train) [28][320/3757] lr: 1.000e-02 eta: 20:56:31 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.7878 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7673 loss: 1.7673 2022/06/29 22:26:41 - mmengine - INFO - Epoch(train) [28][340/3757] lr: 1.000e-02 eta: 20:56:27 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.3355 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6874 loss: 1.6874 2022/06/29 22:26:46 - mmengine - INFO - Epoch(train) [28][360/3757] lr: 1.000e-02 eta: 20:56:21 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 5.2305 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7576 loss: 1.7576 2022/06/29 22:26:52 - mmengine - INFO - Epoch(train) [28][380/3757] lr: 1.000e-02 eta: 20:56:15 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 7.2947 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3180 loss: 2.3180 2022/06/29 22:26:57 - mmengine - INFO - Epoch(train) [28][400/3757] lr: 1.000e-02 eta: 20:56:09 time: 0.236 data_time: 0.010 memory: 6404 grad_norm: 5.6760 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8955 loss: 1.8955 2022/06/29 22:27:03 - mmengine - INFO - Epoch(train) [28][420/3757] lr: 1.000e-02 eta: 20:56:05 time: 0.265 data_time: 0.013 memory: 6404 grad_norm: 4.9865 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9599 loss: 1.9599 2022/06/29 22:27:08 - mmengine - INFO - Epoch(train) [28][440/3757] lr: 1.000e-02 eta: 20:55:58 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 5.6309 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1897 loss: 2.1897 2022/06/29 22:27:14 - mmengine - INFO - Epoch(train) [28][460/3757] lr: 1.000e-02 eta: 20:55:53 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 5.3505 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9750 loss: 1.9750 2022/06/29 22:27:19 - mmengine - INFO - Epoch(train) [28][480/3757] lr: 1.000e-02 eta: 20:55:46 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 5.3907 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9839 loss: 1.9839 2022/06/29 22:27:24 - mmengine - INFO - Epoch(train) [28][500/3757] lr: 1.000e-02 eta: 20:55:40 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 5.7930 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3948 loss: 2.3948 2022/06/29 22:27:30 - mmengine - INFO - Epoch(train) [28][520/3757] lr: 1.000e-02 eta: 20:55:35 time: 0.245 data_time: 0.012 memory: 6404 grad_norm: 5.4419 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2231 loss: 2.2231 2022/06/29 22:27:35 - mmengine - INFO - Epoch(train) [28][540/3757] lr: 1.000e-02 eta: 20:55:29 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 5.9073 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1001 loss: 2.1001 2022/06/29 22:27:40 - mmengine - INFO - Epoch(train) [28][560/3757] lr: 1.000e-02 eta: 20:55:23 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.5570 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6524 loss: 1.6524 2022/06/29 22:27:41 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 22:27:46 - mmengine - INFO - Epoch(train) [28][580/3757] lr: 1.000e-02 eta: 20:55:19 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 6.8023 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9124 loss: 1.9124 2022/06/29 22:27:52 - mmengine - INFO - Epoch(train) [28][600/3757] lr: 1.000e-02 eta: 20:55:14 time: 0.327 data_time: 0.007 memory: 6404 grad_norm: 5.4739 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0706 loss: 2.0706 2022/06/29 22:27:57 - mmengine - INFO - Epoch(train) [28][620/3757] lr: 1.000e-02 eta: 20:55:07 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.4384 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4089 loss: 2.4089 2022/06/29 22:28:03 - mmengine - INFO - Epoch(train) [28][640/3757] lr: 1.000e-02 eta: 20:55:02 time: 0.240 data_time: 0.008 memory: 6404 grad_norm: 5.3946 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8903 loss: 1.8903 2022/06/29 22:28:08 - mmengine - INFO - Epoch(train) [28][660/3757] lr: 1.000e-02 eta: 20:54:56 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.7045 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7317 loss: 1.7317 2022/06/29 22:28:14 - mmengine - INFO - Epoch(train) [28][680/3757] lr: 1.000e-02 eta: 20:54:51 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 6.0922 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9200 loss: 1.9200 2022/06/29 22:28:19 - mmengine - INFO - Epoch(train) [28][700/3757] lr: 1.000e-02 eta: 20:54:45 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 5.2928 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7188 loss: 1.7188 2022/06/29 22:28:25 - mmengine - INFO - Epoch(train) [28][720/3757] lr: 1.000e-02 eta: 20:54:39 time: 0.250 data_time: 0.021 memory: 6404 grad_norm: 6.4490 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1745 loss: 2.1745 2022/06/29 22:28:30 - mmengine - INFO - Epoch(train) [28][740/3757] lr: 1.000e-02 eta: 20:54:34 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.2168 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8724 loss: 1.8724 2022/06/29 22:28:35 - mmengine - INFO - Epoch(train) [28][760/3757] lr: 1.000e-02 eta: 20:54:28 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.4655 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8441 loss: 1.8441 2022/06/29 22:28:41 - mmengine - INFO - Epoch(train) [28][780/3757] lr: 1.000e-02 eta: 20:54:23 time: 0.244 data_time: 0.009 memory: 6404 grad_norm: 5.6475 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4095 loss: 1.4095 2022/06/29 22:28:47 - mmengine - INFO - Epoch(train) [28][800/3757] lr: 1.000e-02 eta: 20:54:18 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 5.3575 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2812 loss: 2.2812 2022/06/29 22:28:53 - mmengine - INFO - Epoch(train) [28][820/3757] lr: 1.000e-02 eta: 20:54:14 time: 0.735 data_time: 0.008 memory: 6404 grad_norm: 5.3090 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7989 loss: 1.7989 2022/06/29 22:28:58 - mmengine - INFO - Epoch(train) [28][840/3757] lr: 1.000e-02 eta: 20:54:08 time: 0.248 data_time: 0.013 memory: 6404 grad_norm: 5.8095 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8609 loss: 1.8609 2022/06/29 22:29:03 - mmengine - INFO - Epoch(train) [28][860/3757] lr: 1.000e-02 eta: 20:54:01 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.2189 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8147 loss: 1.8147 2022/06/29 22:29:08 - mmengine - INFO - Epoch(train) [28][880/3757] lr: 1.000e-02 eta: 20:53:55 time: 0.289 data_time: 0.008 memory: 6404 grad_norm: 5.2234 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2498 loss: 2.2498 2022/06/29 22:29:15 - mmengine - INFO - Epoch(train) [28][900/3757] lr: 1.000e-02 eta: 20:53:51 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.2798 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9755 loss: 1.9755 2022/06/29 22:29:20 - mmengine - INFO - Epoch(train) [28][920/3757] lr: 1.000e-02 eta: 20:53:45 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 5.7147 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0086 loss: 2.0086 2022/06/29 22:29:26 - mmengine - INFO - Epoch(train) [28][940/3757] lr: 1.000e-02 eta: 20:53:40 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 5.0230 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0407 loss: 2.0407 2022/06/29 22:29:31 - mmengine - INFO - Epoch(train) [28][960/3757] lr: 1.000e-02 eta: 20:53:33 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 5.4604 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9709 loss: 1.9709 2022/06/29 22:29:36 - mmengine - INFO - Epoch(train) [28][980/3757] lr: 1.000e-02 eta: 20:53:28 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 5.8400 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5991 loss: 1.5991 2022/06/29 22:29:42 - mmengine - INFO - Epoch(train) [28][1000/3757] lr: 1.000e-02 eta: 20:53:22 time: 0.279 data_time: 0.008 memory: 6404 grad_norm: 5.6511 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8256 loss: 1.8256 2022/06/29 22:29:47 - mmengine - INFO - Epoch(train) [28][1020/3757] lr: 1.000e-02 eta: 20:53:16 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.3866 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.0255 loss: 2.0255 2022/06/29 22:29:53 - mmengine - INFO - Epoch(train) [28][1040/3757] lr: 1.000e-02 eta: 20:53:12 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 5.2229 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0016 loss: 2.0016 2022/06/29 22:29:58 - mmengine - INFO - Epoch(train) [28][1060/3757] lr: 1.000e-02 eta: 20:53:06 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 5.5029 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3617 loss: 1.3617 2022/06/29 22:30:03 - mmengine - INFO - Epoch(train) [28][1080/3757] lr: 1.000e-02 eta: 20:52:59 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 5.7486 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4912 loss: 2.4912 2022/06/29 22:30:09 - mmengine - INFO - Epoch(train) [28][1100/3757] lr: 1.000e-02 eta: 20:52:54 time: 0.582 data_time: 0.018 memory: 6404 grad_norm: 5.7930 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6936 loss: 1.6936 2022/06/29 22:30:15 - mmengine - INFO - Epoch(train) [28][1120/3757] lr: 1.000e-02 eta: 20:52:51 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.4649 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7296 loss: 1.7296 2022/06/29 22:30:20 - mmengine - INFO - Epoch(train) [28][1140/3757] lr: 1.000e-02 eta: 20:52:44 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.3771 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7641 loss: 1.7641 2022/06/29 22:30:26 - mmengine - INFO - Epoch(train) [28][1160/3757] lr: 1.000e-02 eta: 20:52:38 time: 0.340 data_time: 0.019 memory: 6404 grad_norm: 6.2760 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7517 loss: 1.7517 2022/06/29 22:30:31 - mmengine - INFO - Epoch(train) [28][1180/3757] lr: 1.000e-02 eta: 20:52:33 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 6.2405 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9380 loss: 1.9380 2022/06/29 22:30:37 - mmengine - INFO - Epoch(train) [28][1200/3757] lr: 1.000e-02 eta: 20:52:27 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 4.2636 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8705 loss: 1.8705 2022/06/29 22:30:42 - mmengine - INFO - Epoch(train) [28][1220/3757] lr: 1.000e-02 eta: 20:52:21 time: 0.265 data_time: 0.018 memory: 6404 grad_norm: 6.7559 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1960 loss: 2.1960 2022/06/29 22:30:47 - mmengine - INFO - Epoch(train) [28][1240/3757] lr: 1.000e-02 eta: 20:52:15 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 5.1399 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6956 loss: 1.6956 2022/06/29 22:30:53 - mmengine - INFO - Epoch(train) [28][1260/3757] lr: 1.000e-02 eta: 20:52:11 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.9943 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0868 loss: 2.0868 2022/06/29 22:30:59 - mmengine - INFO - Epoch(train) [28][1280/3757] lr: 1.000e-02 eta: 20:52:05 time: 0.709 data_time: 0.016 memory: 6404 grad_norm: 5.5399 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0714 loss: 2.0714 2022/06/29 22:31:04 - mmengine - INFO - Epoch(train) [28][1300/3757] lr: 1.000e-02 eta: 20:51:59 time: 0.255 data_time: 0.014 memory: 6404 grad_norm: 5.8570 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.0920 loss: 2.0920 2022/06/29 22:31:09 - mmengine - INFO - Epoch(train) [28][1320/3757] lr: 1.000e-02 eta: 20:51:53 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 5.8883 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6873 loss: 1.6873 2022/06/29 22:31:15 - mmengine - INFO - Epoch(train) [28][1340/3757] lr: 1.000e-02 eta: 20:51:47 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 6.0609 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0804 loss: 2.0804 2022/06/29 22:31:20 - mmengine - INFO - Epoch(train) [28][1360/3757] lr: 1.000e-02 eta: 20:51:41 time: 0.252 data_time: 0.021 memory: 6404 grad_norm: 5.4992 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5285 loss: 1.5285 2022/06/29 22:31:26 - mmengine - INFO - Epoch(train) [28][1380/3757] lr: 1.000e-02 eta: 20:51:36 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.1261 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6169 loss: 1.6169 2022/06/29 22:31:31 - mmengine - INFO - Epoch(train) [28][1400/3757] lr: 1.000e-02 eta: 20:51:30 time: 0.326 data_time: 0.026 memory: 6404 grad_norm: 4.6554 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5171 loss: 1.5171 2022/06/29 22:31:37 - mmengine - INFO - Epoch(train) [28][1420/3757] lr: 1.000e-02 eta: 20:51:24 time: 0.375 data_time: 0.050 memory: 6404 grad_norm: 6.0055 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7632 loss: 1.7632 2022/06/29 22:31:42 - mmengine - INFO - Epoch(train) [28][1440/3757] lr: 1.000e-02 eta: 20:51:18 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 5.2202 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7845 loss: 1.7845 2022/06/29 22:31:48 - mmengine - INFO - Epoch(train) [28][1460/3757] lr: 1.000e-02 eta: 20:51:14 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.1722 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7620 loss: 1.7620 2022/06/29 22:31:53 - mmengine - INFO - Epoch(train) [28][1480/3757] lr: 1.000e-02 eta: 20:51:09 time: 0.414 data_time: 0.059 memory: 6404 grad_norm: 5.7510 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3197 loss: 2.3197 2022/06/29 22:31:59 - mmengine - INFO - Epoch(train) [28][1500/3757] lr: 1.000e-02 eta: 20:51:04 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.2269 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2972 loss: 2.2972 2022/06/29 22:32:05 - mmengine - INFO - Epoch(train) [28][1520/3757] lr: 1.000e-02 eta: 20:50:58 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 6.4734 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 1.9381 loss: 1.9381 2022/06/29 22:32:10 - mmengine - INFO - Epoch(train) [28][1540/3757] lr: 1.000e-02 eta: 20:50:52 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.8563 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3144 loss: 2.3144 2022/06/29 22:32:15 - mmengine - INFO - Epoch(train) [28][1560/3757] lr: 1.000e-02 eta: 20:50:45 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 6.1533 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0897 loss: 2.0897 2022/06/29 22:32:15 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 22:32:21 - mmengine - INFO - Epoch(train) [28][1580/3757] lr: 1.000e-02 eta: 20:50:40 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.1923 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7848 loss: 1.7848 2022/06/29 22:32:27 - mmengine - INFO - Epoch(train) [28][1600/3757] lr: 1.000e-02 eta: 20:50:36 time: 0.248 data_time: 0.015 memory: 6404 grad_norm: 5.1997 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4108 loss: 2.4108 2022/06/29 22:32:32 - mmengine - INFO - Epoch(train) [28][1620/3757] lr: 1.000e-02 eta: 20:50:30 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.0533 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3134 loss: 1.3134 2022/06/29 22:32:37 - mmengine - INFO - Epoch(train) [28][1640/3757] lr: 1.000e-02 eta: 20:50:25 time: 0.245 data_time: 0.012 memory: 6404 grad_norm: 6.1873 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8744 loss: 1.8744 2022/06/29 22:32:43 - mmengine - INFO - Epoch(train) [28][1660/3757] lr: 1.000e-02 eta: 20:50:20 time: 0.259 data_time: 0.017 memory: 6404 grad_norm: 5.4911 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0686 loss: 2.0686 2022/06/29 22:32:49 - mmengine - INFO - Epoch(train) [28][1680/3757] lr: 1.000e-02 eta: 20:50:14 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.6831 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7286 loss: 1.7286 2022/06/29 22:32:54 - mmengine - INFO - Epoch(train) [28][1700/3757] lr: 1.000e-02 eta: 20:50:08 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 6.7433 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8400 loss: 1.8400 2022/06/29 22:33:00 - mmengine - INFO - Epoch(train) [28][1720/3757] lr: 1.000e-02 eta: 20:50:02 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.8008 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0238 loss: 2.0238 2022/06/29 22:33:06 - mmengine - INFO - Epoch(train) [28][1740/3757] lr: 1.000e-02 eta: 20:49:59 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 4.6887 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9750 loss: 1.9750 2022/06/29 22:33:11 - mmengine - INFO - Epoch(train) [28][1760/3757] lr: 1.000e-02 eta: 20:49:53 time: 0.259 data_time: 0.013 memory: 6404 grad_norm: 5.7648 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9805 loss: 1.9805 2022/06/29 22:33:17 - mmengine - INFO - Epoch(train) [28][1780/3757] lr: 1.000e-02 eta: 20:49:48 time: 0.274 data_time: 0.009 memory: 6404 grad_norm: 6.5245 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8480 loss: 1.8480 2022/06/29 22:33:22 - mmengine - INFO - Epoch(train) [28][1800/3757] lr: 1.000e-02 eta: 20:49:42 time: 0.241 data_time: 0.006 memory: 6404 grad_norm: 5.4200 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5261 loss: 1.5261 2022/06/29 22:33:27 - mmengine - INFO - Epoch(train) [28][1820/3757] lr: 1.000e-02 eta: 20:49:36 time: 0.270 data_time: 0.006 memory: 6404 grad_norm: 5.6483 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8820 loss: 1.8820 2022/06/29 22:33:33 - mmengine - INFO - Epoch(train) [28][1840/3757] lr: 1.000e-02 eta: 20:49:30 time: 0.384 data_time: 0.012 memory: 6404 grad_norm: 5.2788 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0569 loss: 2.0569 2022/06/29 22:33:38 - mmengine - INFO - Epoch(train) [28][1860/3757] lr: 1.000e-02 eta: 20:49:24 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.9143 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8184 loss: 1.8184 2022/06/29 22:33:43 - mmengine - INFO - Epoch(train) [28][1880/3757] lr: 1.000e-02 eta: 20:49:18 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.2051 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2172 loss: 2.2172 2022/06/29 22:33:49 - mmengine - INFO - Epoch(train) [28][1900/3757] lr: 1.000e-02 eta: 20:49:12 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 5.3725 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7311 loss: 1.7311 2022/06/29 22:33:54 - mmengine - INFO - Epoch(train) [28][1920/3757] lr: 1.000e-02 eta: 20:49:07 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.4897 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9015 loss: 1.9015 2022/06/29 22:34:01 - mmengine - INFO - Epoch(train) [28][1940/3757] lr: 1.000e-02 eta: 20:49:04 time: 0.265 data_time: 0.006 memory: 6404 grad_norm: 5.7336 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.8815 loss: 1.8815 2022/06/29 22:34:06 - mmengine - INFO - Epoch(train) [28][1960/3757] lr: 1.000e-02 eta: 20:48:58 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 5.8238 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0730 loss: 2.0730 2022/06/29 22:34:12 - mmengine - INFO - Epoch(train) [28][1980/3757] lr: 1.000e-02 eta: 20:48:53 time: 0.283 data_time: 0.007 memory: 6404 grad_norm: 5.3236 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8109 loss: 1.8109 2022/06/29 22:34:17 - mmengine - INFO - Epoch(train) [28][2000/3757] lr: 1.000e-02 eta: 20:48:47 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 5.3632 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6850 loss: 1.6850 2022/06/29 22:34:22 - mmengine - INFO - Epoch(train) [28][2020/3757] lr: 1.000e-02 eta: 20:48:40 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.6678 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9403 loss: 1.9403 2022/06/29 22:34:27 - mmengine - INFO - Epoch(train) [28][2040/3757] lr: 1.000e-02 eta: 20:48:34 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 5.2228 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9525 loss: 1.9525 2022/06/29 22:34:33 - mmengine - INFO - Epoch(train) [28][2060/3757] lr: 1.000e-02 eta: 20:48:28 time: 0.318 data_time: 0.008 memory: 6404 grad_norm: 5.0476 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8727 loss: 1.8727 2022/06/29 22:34:38 - mmengine - INFO - Epoch(train) [28][2080/3757] lr: 1.000e-02 eta: 20:48:23 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 5.8732 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0897 loss: 2.0897 2022/06/29 22:34:44 - mmengine - INFO - Epoch(train) [28][2100/3757] lr: 1.000e-02 eta: 20:48:18 time: 0.247 data_time: 0.013 memory: 6404 grad_norm: 6.4419 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3747 loss: 2.3747 2022/06/29 22:34:50 - mmengine - INFO - Epoch(train) [28][2120/3757] lr: 1.000e-02 eta: 20:48:13 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.8373 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7147 loss: 1.7147 2022/06/29 22:34:55 - mmengine - INFO - Epoch(train) [28][2140/3757] lr: 1.000e-02 eta: 20:48:07 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 5.0823 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3950 loss: 2.3950 2022/06/29 22:35:01 - mmengine - INFO - Epoch(train) [28][2160/3757] lr: 1.000e-02 eta: 20:48:01 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.4474 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8303 loss: 1.8303 2022/06/29 22:35:07 - mmengine - INFO - Epoch(train) [28][2180/3757] lr: 1.000e-02 eta: 20:47:57 time: 0.259 data_time: 0.012 memory: 6404 grad_norm: 5.8523 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5515 loss: 1.5515 2022/06/29 22:35:12 - mmengine - INFO - Epoch(train) [28][2200/3757] lr: 1.000e-02 eta: 20:47:51 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.4471 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9792 loss: 1.9792 2022/06/29 22:35:18 - mmengine - INFO - Epoch(train) [28][2220/3757] lr: 1.000e-02 eta: 20:47:46 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 5.6086 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8718 loss: 1.8718 2022/06/29 22:35:23 - mmengine - INFO - Epoch(train) [28][2240/3757] lr: 1.000e-02 eta: 20:47:41 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 5.8878 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0355 loss: 2.0355 2022/06/29 22:35:29 - mmengine - INFO - Epoch(train) [28][2260/3757] lr: 1.000e-02 eta: 20:47:35 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 5.6001 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9688 loss: 1.9688 2022/06/29 22:35:34 - mmengine - INFO - Epoch(train) [28][2280/3757] lr: 1.000e-02 eta: 20:47:29 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.6526 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9281 loss: 1.9281 2022/06/29 22:35:39 - mmengine - INFO - Epoch(train) [28][2300/3757] lr: 1.000e-02 eta: 20:47:23 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 4.7026 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5713 loss: 1.5713 2022/06/29 22:35:45 - mmengine - INFO - Epoch(train) [28][2320/3757] lr: 1.000e-02 eta: 20:47:18 time: 0.271 data_time: 0.012 memory: 6404 grad_norm: 6.1371 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8326 loss: 1.8326 2022/06/29 22:35:51 - mmengine - INFO - Epoch(train) [28][2340/3757] lr: 1.000e-02 eta: 20:47:13 time: 0.247 data_time: 0.013 memory: 6404 grad_norm: 5.7928 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9254 loss: 1.9254 2022/06/29 22:35:56 - mmengine - INFO - Epoch(train) [28][2360/3757] lr: 1.000e-02 eta: 20:47:06 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.1827 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1183 loss: 2.1183 2022/06/29 22:36:01 - mmengine - INFO - Epoch(train) [28][2380/3757] lr: 1.000e-02 eta: 20:46:59 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 4.7292 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9181 loss: 1.9181 2022/06/29 22:36:06 - mmengine - INFO - Epoch(train) [28][2400/3757] lr: 1.000e-02 eta: 20:46:53 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.5598 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8666 loss: 1.8666 2022/06/29 22:36:11 - mmengine - INFO - Epoch(train) [28][2420/3757] lr: 1.000e-02 eta: 20:46:47 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.2451 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8947 loss: 1.8947 2022/06/29 22:36:17 - mmengine - INFO - Epoch(train) [28][2440/3757] lr: 1.000e-02 eta: 20:46:42 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 5.5895 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1880 loss: 2.1880 2022/06/29 22:36:23 - mmengine - INFO - Epoch(train) [28][2460/3757] lr: 1.000e-02 eta: 20:46:36 time: 0.261 data_time: 0.014 memory: 6404 grad_norm: 6.3204 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8734 loss: 1.8734 2022/06/29 22:36:28 - mmengine - INFO - Epoch(train) [28][2480/3757] lr: 1.000e-02 eta: 20:46:31 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 7.0432 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9113 loss: 1.9113 2022/06/29 22:36:34 - mmengine - INFO - Epoch(train) [28][2500/3757] lr: 1.000e-02 eta: 20:46:26 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 4.7635 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0324 loss: 2.0324 2022/06/29 22:36:39 - mmengine - INFO - Epoch(train) [28][2520/3757] lr: 1.000e-02 eta: 20:46:19 time: 0.246 data_time: 0.054 memory: 6404 grad_norm: 4.7272 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6686 loss: 1.6686 2022/06/29 22:36:45 - mmengine - INFO - Epoch(train) [28][2540/3757] lr: 1.000e-02 eta: 20:46:15 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 6.0622 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7028 loss: 1.7028 2022/06/29 22:36:50 - mmengine - INFO - Epoch(train) [28][2560/3757] lr: 1.000e-02 eta: 20:46:10 time: 0.312 data_time: 0.008 memory: 6404 grad_norm: 6.1309 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8016 loss: 1.8016 2022/06/29 22:36:51 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 22:36:56 - mmengine - INFO - Epoch(train) [28][2580/3757] lr: 1.000e-02 eta: 20:46:03 time: 0.245 data_time: 0.013 memory: 6404 grad_norm: 6.1805 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8279 loss: 1.8279 2022/06/29 22:37:01 - mmengine - INFO - Epoch(train) [28][2600/3757] lr: 1.000e-02 eta: 20:45:57 time: 0.273 data_time: 0.007 memory: 6404 grad_norm: 6.1067 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9570 loss: 1.9570 2022/06/29 22:37:06 - mmengine - INFO - Epoch(train) [28][2620/3757] lr: 1.000e-02 eta: 20:45:51 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.3289 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8394 loss: 1.8394 2022/06/29 22:37:11 - mmengine - INFO - Epoch(train) [28][2640/3757] lr: 1.000e-02 eta: 20:45:45 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 6.0706 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0077 loss: 2.0077 2022/06/29 22:37:17 - mmengine - INFO - Epoch(train) [28][2660/3757] lr: 1.000e-02 eta: 20:45:39 time: 0.513 data_time: 0.007 memory: 6404 grad_norm: 5.4878 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0259 loss: 2.0259 2022/06/29 22:37:22 - mmengine - INFO - Epoch(train) [28][2680/3757] lr: 1.000e-02 eta: 20:45:34 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 6.4855 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7255 loss: 1.7255 2022/06/29 22:37:28 - mmengine - INFO - Epoch(train) [28][2700/3757] lr: 1.000e-02 eta: 20:45:28 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.0884 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0722 loss: 2.0722 2022/06/29 22:37:33 - mmengine - INFO - Epoch(train) [28][2720/3757] lr: 1.000e-02 eta: 20:45:22 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 5.3417 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1021 loss: 2.1021 2022/06/29 22:37:38 - mmengine - INFO - Epoch(train) [28][2740/3757] lr: 1.000e-02 eta: 20:45:16 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.8745 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9884 loss: 1.9884 2022/06/29 22:37:44 - mmengine - INFO - Epoch(train) [28][2760/3757] lr: 1.000e-02 eta: 20:45:12 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.4838 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3956 loss: 2.3956 2022/06/29 22:37:49 - mmengine - INFO - Epoch(train) [28][2780/3757] lr: 1.000e-02 eta: 20:45:05 time: 0.264 data_time: 0.018 memory: 6404 grad_norm: 5.2456 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8266 loss: 1.8266 2022/06/29 22:37:55 - mmengine - INFO - Epoch(train) [28][2800/3757] lr: 1.000e-02 eta: 20:44:59 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.7384 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6098 loss: 1.6098 2022/06/29 22:38:01 - mmengine - INFO - Epoch(train) [28][2820/3757] lr: 1.000e-02 eta: 20:44:55 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.5580 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9324 loss: 1.9324 2022/06/29 22:38:07 - mmengine - INFO - Epoch(train) [28][2840/3757] lr: 1.000e-02 eta: 20:44:51 time: 0.257 data_time: 0.019 memory: 6404 grad_norm: 5.9818 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1878 loss: 2.1878 2022/06/29 22:38:12 - mmengine - INFO - Epoch(train) [28][2860/3757] lr: 1.000e-02 eta: 20:44:44 time: 0.239 data_time: 0.013 memory: 6404 grad_norm: 5.1944 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8968 loss: 1.8968 2022/06/29 22:38:17 - mmengine - INFO - Epoch(train) [28][2880/3757] lr: 1.000e-02 eta: 20:44:38 time: 0.251 data_time: 0.014 memory: 6404 grad_norm: 5.5625 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0812 loss: 2.0812 2022/06/29 22:38:23 - mmengine - INFO - Epoch(train) [28][2900/3757] lr: 1.000e-02 eta: 20:44:32 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.6789 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9455 loss: 1.9455 2022/06/29 22:38:28 - mmengine - INFO - Epoch(train) [28][2920/3757] lr: 1.000e-02 eta: 20:44:26 time: 0.243 data_time: 0.014 memory: 6404 grad_norm: 5.6742 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6765 loss: 1.6765 2022/06/29 22:38:34 - mmengine - INFO - Epoch(train) [28][2940/3757] lr: 1.000e-02 eta: 20:44:21 time: 0.281 data_time: 0.007 memory: 6404 grad_norm: 6.1520 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1183 loss: 2.1183 2022/06/29 22:38:39 - mmengine - INFO - Epoch(train) [28][2960/3757] lr: 1.000e-02 eta: 20:44:15 time: 0.248 data_time: 0.016 memory: 6404 grad_norm: 5.7258 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7368 loss: 1.7368 2022/06/29 22:38:45 - mmengine - INFO - Epoch(train) [28][2980/3757] lr: 1.000e-02 eta: 20:44:10 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.2229 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1710 loss: 2.1710 2022/06/29 22:38:50 - mmengine - INFO - Epoch(train) [28][3000/3757] lr: 1.000e-02 eta: 20:44:04 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 5.4369 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9113 loss: 1.9113 2022/06/29 22:38:55 - mmengine - INFO - Epoch(train) [28][3020/3757] lr: 1.000e-02 eta: 20:43:59 time: 0.251 data_time: 0.023 memory: 6404 grad_norm: 5.0761 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3388 loss: 2.3388 2022/06/29 22:39:01 - mmengine - INFO - Epoch(train) [28][3040/3757] lr: 1.000e-02 eta: 20:43:53 time: 0.250 data_time: 0.028 memory: 6404 grad_norm: 6.0097 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0007 loss: 2.0007 2022/06/29 22:39:07 - mmengine - INFO - Epoch(train) [28][3060/3757] lr: 1.000e-02 eta: 20:43:49 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.9016 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8246 loss: 1.8246 2022/06/29 22:39:12 - mmengine - INFO - Epoch(train) [28][3080/3757] lr: 1.000e-02 eta: 20:43:43 time: 0.251 data_time: 0.016 memory: 6404 grad_norm: 4.8081 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8222 loss: 1.8222 2022/06/29 22:39:18 - mmengine - INFO - Epoch(train) [28][3100/3757] lr: 1.000e-02 eta: 20:43:37 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 6.1558 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3171 loss: 2.3171 2022/06/29 22:39:23 - mmengine - INFO - Epoch(train) [28][3120/3757] lr: 1.000e-02 eta: 20:43:31 time: 0.317 data_time: 0.006 memory: 6404 grad_norm: 6.0005 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9959 loss: 1.9959 2022/06/29 22:39:29 - mmengine - INFO - Epoch(train) [28][3140/3757] lr: 1.000e-02 eta: 20:43:26 time: 0.294 data_time: 0.011 memory: 6404 grad_norm: 5.4218 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1712 loss: 2.1712 2022/06/29 22:39:35 - mmengine - INFO - Epoch(train) [28][3160/3757] lr: 1.000e-02 eta: 20:43:22 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 5.2934 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6233 loss: 2.6233 2022/06/29 22:39:40 - mmengine - INFO - Epoch(train) [28][3180/3757] lr: 1.000e-02 eta: 20:43:16 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 5.6126 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5449 loss: 1.5449 2022/06/29 22:39:45 - mmengine - INFO - Epoch(train) [28][3200/3757] lr: 1.000e-02 eta: 20:43:10 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 6.0506 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4444 loss: 1.4444 2022/06/29 22:39:50 - mmengine - INFO - Epoch(train) [28][3220/3757] lr: 1.000e-02 eta: 20:43:03 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 5.0089 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3541 loss: 2.3541 2022/06/29 22:39:56 - mmengine - INFO - Epoch(train) [28][3240/3757] lr: 1.000e-02 eta: 20:42:58 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 5.4855 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5413 loss: 1.5413 2022/06/29 22:40:02 - mmengine - INFO - Epoch(train) [28][3260/3757] lr: 1.000e-02 eta: 20:42:52 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 5.3758 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8674 loss: 1.8674 2022/06/29 22:40:07 - mmengine - INFO - Epoch(train) [28][3280/3757] lr: 1.000e-02 eta: 20:42:46 time: 0.263 data_time: 0.017 memory: 6404 grad_norm: 4.9757 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9178 loss: 1.9178 2022/06/29 22:40:13 - mmengine - INFO - Epoch(train) [28][3300/3757] lr: 1.000e-02 eta: 20:42:41 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.9766 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2201 loss: 2.2201 2022/06/29 22:40:18 - mmengine - INFO - Epoch(train) [28][3320/3757] lr: 1.000e-02 eta: 20:42:36 time: 0.240 data_time: 0.009 memory: 6404 grad_norm: 6.6466 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1297 loss: 2.1297 2022/06/29 22:40:24 - mmengine - INFO - Epoch(train) [28][3340/3757] lr: 1.000e-02 eta: 20:42:30 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 6.1922 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0136 loss: 2.0136 2022/06/29 22:40:29 - mmengine - INFO - Epoch(train) [28][3360/3757] lr: 1.000e-02 eta: 20:42:24 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 6.3847 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9665 loss: 1.9665 2022/06/29 22:40:34 - mmengine - INFO - Epoch(train) [28][3380/3757] lr: 1.000e-02 eta: 20:42:19 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.4904 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0940 loss: 2.0940 2022/06/29 22:40:40 - mmengine - INFO - Epoch(train) [28][3400/3757] lr: 1.000e-02 eta: 20:42:13 time: 0.245 data_time: 0.013 memory: 6404 grad_norm: 5.6151 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2332 loss: 2.2332 2022/06/29 22:40:46 - mmengine - INFO - Epoch(train) [28][3420/3757] lr: 1.000e-02 eta: 20:42:09 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 5.5468 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6173 loss: 1.6173 2022/06/29 22:40:51 - mmengine - INFO - Epoch(train) [28][3440/3757] lr: 1.000e-02 eta: 20:42:03 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 4.8180 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9015 loss: 1.9015 2022/06/29 22:40:56 - mmengine - INFO - Epoch(train) [28][3460/3757] lr: 1.000e-02 eta: 20:41:57 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 5.6148 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0132 loss: 2.0132 2022/06/29 22:41:02 - mmengine - INFO - Epoch(train) [28][3480/3757] lr: 1.000e-02 eta: 20:41:50 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.5028 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9915 loss: 1.9915 2022/06/29 22:41:07 - mmengine - INFO - Epoch(train) [28][3500/3757] lr: 1.000e-02 eta: 20:41:45 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 5.2398 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9730 loss: 1.9730 2022/06/29 22:41:13 - mmengine - INFO - Epoch(train) [28][3520/3757] lr: 1.000e-02 eta: 20:41:40 time: 0.246 data_time: 0.017 memory: 6404 grad_norm: 5.0706 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3267 loss: 2.3267 2022/06/29 22:41:18 - mmengine - INFO - Epoch(train) [28][3540/3757] lr: 1.000e-02 eta: 20:41:34 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.5390 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6090 loss: 1.6090 2022/06/29 22:41:24 - mmengine - INFO - Epoch(train) [28][3560/3757] lr: 1.000e-02 eta: 20:41:30 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.1611 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7296 loss: 1.7296 2022/06/29 22:41:25 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 22:41:29 - mmengine - INFO - Epoch(train) [28][3580/3757] lr: 1.000e-02 eta: 20:41:24 time: 0.255 data_time: 0.021 memory: 6404 grad_norm: 6.1065 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1325 loss: 2.1325 2022/06/29 22:41:35 - mmengine - INFO - Epoch(train) [28][3600/3757] lr: 1.000e-02 eta: 20:41:17 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 5.1555 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9246 loss: 1.9246 2022/06/29 22:41:40 - mmengine - INFO - Epoch(train) [28][3620/3757] lr: 1.000e-02 eta: 20:41:12 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 4.9570 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1605 loss: 2.1605 2022/06/29 22:41:46 - mmengine - INFO - Epoch(train) [28][3640/3757] lr: 1.000e-02 eta: 20:41:07 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 6.2105 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0706 loss: 2.0706 2022/06/29 22:41:51 - mmengine - INFO - Epoch(train) [28][3660/3757] lr: 1.000e-02 eta: 20:41:01 time: 0.243 data_time: 0.015 memory: 6404 grad_norm: 5.6983 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2228 loss: 2.2228 2022/06/29 22:41:57 - mmengine - INFO - Epoch(train) [28][3680/3757] lr: 1.000e-02 eta: 20:40:55 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.5703 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3308 loss: 2.3308 2022/06/29 22:42:02 - mmengine - INFO - Epoch(train) [28][3700/3757] lr: 1.000e-02 eta: 20:40:50 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 5.7270 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7514 loss: 1.7514 2022/06/29 22:42:08 - mmengine - INFO - Epoch(train) [28][3720/3757] lr: 1.000e-02 eta: 20:40:45 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 6.4230 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9247 loss: 1.9247 2022/06/29 22:42:13 - mmengine - INFO - Epoch(train) [28][3740/3757] lr: 1.000e-02 eta: 20:40:38 time: 0.240 data_time: 0.010 memory: 6404 grad_norm: 5.7848 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9344 loss: 1.9344 2022/06/29 22:42:17 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 22:42:24 - mmengine - INFO - Epoch(val) [28][20/310] eta: 0:01:33 time: 0.097 data_time: 0.014 memory: 6404 2022/06/29 22:42:30 - mmengine - INFO - Epoch(val) [28][40/310] eta: 0:01:21 time: 0.333 data_time: 0.258 memory: 1479 2022/06/29 22:42:34 - mmengine - INFO - Epoch(val) [28][60/310] eta: 0:00:23 time: 0.080 data_time: 0.007 memory: 1479 2022/06/29 22:42:40 - mmengine - INFO - Epoch(val) [28][80/310] eta: 0:01:12 time: 0.094 data_time: 0.006 memory: 1479 2022/06/29 22:42:46 - mmengine - INFO - Epoch(val) [28][100/310] eta: 0:00:57 time: 0.845 data_time: 0.756 memory: 1479 2022/06/29 22:42:50 - mmengine - INFO - Epoch(val) [28][120/310] eta: 0:00:33 time: 0.078 data_time: 0.006 memory: 1479 2022/06/29 22:42:57 - mmengine - INFO - Epoch(val) [28][140/310] eta: 0:00:52 time: 0.077 data_time: 0.005 memory: 1479 2022/06/29 22:43:03 - mmengine - INFO - Epoch(val) [28][160/310] eta: 0:00:47 time: 1.714 data_time: 1.622 memory: 1479 2022/06/29 22:43:07 - mmengine - INFO - Epoch(val) [28][180/310] eta: 0:00:35 time: 0.079 data_time: 0.005 memory: 1479 2022/06/29 22:43:13 - mmengine - INFO - Epoch(val) [28][200/310] eta: 0:00:33 time: 0.077 data_time: 0.005 memory: 1479 2022/06/29 22:43:18 - mmengine - INFO - Epoch(val) [28][220/310] eta: 0:00:26 time: 1.490 data_time: 1.402 memory: 1479 2022/06/29 22:43:22 - mmengine - INFO - Epoch(val) [28][240/310] eta: 0:00:16 time: 0.078 data_time: 0.005 memory: 1479 2022/06/29 22:43:28 - mmengine - INFO - Epoch(val) [28][260/310] eta: 0:00:14 time: 0.082 data_time: 0.007 memory: 1479 2022/06/29 22:43:34 - mmengine - INFO - Epoch(val) [28][280/310] eta: 0:00:09 time: 1.311 data_time: 1.225 memory: 1479 2022/06/29 22:43:37 - mmengine - INFO - Epoch(val) [28][300/310] eta: 0:00:01 time: 0.083 data_time: 0.007 memory: 1479 2022/06/29 22:43:40 - mmengine - INFO - Epoch(val) [28][310/310] acc/top1: 0.5681 acc/top5: 0.8089 acc/mean1: 0.5680 2022/06/29 22:43:49 - mmengine - INFO - Epoch(train) [29][20/3757] lr: 1.000e-02 eta: 20:40:30 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 5.5360 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6260 loss: 1.6260 2022/06/29 22:43:55 - mmengine - INFO - Epoch(train) [29][40/3757] lr: 1.000e-02 eta: 20:40:26 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.2117 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8725 loss: 1.8725 2022/06/29 22:44:00 - mmengine - INFO - Epoch(train) [29][60/3757] lr: 1.000e-02 eta: 20:40:21 time: 0.238 data_time: 0.006 memory: 6404 grad_norm: 4.8058 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5067 loss: 1.5067 2022/06/29 22:44:06 - mmengine - INFO - Epoch(train) [29][80/3757] lr: 1.000e-02 eta: 20:40:16 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 5.6806 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8904 loss: 1.8904 2022/06/29 22:44:11 - mmengine - INFO - Epoch(train) [29][100/3757] lr: 1.000e-02 eta: 20:40:09 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.1145 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8396 loss: 1.8396 2022/06/29 22:44:17 - mmengine - INFO - Epoch(train) [29][120/3757] lr: 1.000e-02 eta: 20:40:05 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 5.8542 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.6871 loss: 1.6871 2022/06/29 22:44:22 - mmengine - INFO - Epoch(train) [29][140/3757] lr: 1.000e-02 eta: 20:39:59 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.2263 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0056 loss: 2.0056 2022/06/29 22:44:28 - mmengine - INFO - Epoch(train) [29][160/3757] lr: 1.000e-02 eta: 20:39:53 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 6.6672 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5148 loss: 1.5148 2022/06/29 22:44:33 - mmengine - INFO - Epoch(train) [29][180/3757] lr: 1.000e-02 eta: 20:39:48 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 5.1902 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5366 loss: 1.5366 2022/06/29 22:44:39 - mmengine - INFO - Epoch(train) [29][200/3757] lr: 1.000e-02 eta: 20:39:42 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.0420 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6946 loss: 1.6946 2022/06/29 22:44:44 - mmengine - INFO - Epoch(train) [29][220/3757] lr: 1.000e-02 eta: 20:39:36 time: 0.306 data_time: 0.008 memory: 6404 grad_norm: 6.2995 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8049 loss: 1.8049 2022/06/29 22:44:49 - mmengine - INFO - Epoch(train) [29][240/3757] lr: 1.000e-02 eta: 20:39:30 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 4.9915 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9247 loss: 1.9247 2022/06/29 22:44:55 - mmengine - INFO - Epoch(train) [29][260/3757] lr: 1.000e-02 eta: 20:39:25 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 5.6113 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7271 loss: 1.7271 2022/06/29 22:45:01 - mmengine - INFO - Epoch(train) [29][280/3757] lr: 1.000e-02 eta: 20:39:19 time: 0.568 data_time: 0.009 memory: 6404 grad_norm: 5.6853 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0582 loss: 2.0582 2022/06/29 22:45:06 - mmengine - INFO - Epoch(train) [29][300/3757] lr: 1.000e-02 eta: 20:39:14 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 5.7493 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7997 loss: 1.7997 2022/06/29 22:45:11 - mmengine - INFO - Epoch(train) [29][320/3757] lr: 1.000e-02 eta: 20:39:08 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 4.7712 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8862 loss: 1.8862 2022/06/29 22:45:17 - mmengine - INFO - Epoch(train) [29][340/3757] lr: 1.000e-02 eta: 20:39:03 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.5316 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1552 loss: 2.1552 2022/06/29 22:45:22 - mmengine - INFO - Epoch(train) [29][360/3757] lr: 1.000e-02 eta: 20:38:57 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.5038 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.7104 loss: 1.7104 2022/06/29 22:45:28 - mmengine - INFO - Epoch(train) [29][380/3757] lr: 1.000e-02 eta: 20:38:51 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.9261 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0589 loss: 2.0589 2022/06/29 22:45:33 - mmengine - INFO - Epoch(train) [29][400/3757] lr: 1.000e-02 eta: 20:38:45 time: 0.245 data_time: 0.009 memory: 6404 grad_norm: 5.4676 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7646 loss: 1.7646 2022/06/29 22:45:39 - mmengine - INFO - Epoch(train) [29][420/3757] lr: 1.000e-02 eta: 20:38:39 time: 0.259 data_time: 0.012 memory: 6404 grad_norm: 4.7662 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8177 loss: 1.8177 2022/06/29 22:45:45 - mmengine - INFO - Epoch(train) [29][440/3757] lr: 1.000e-02 eta: 20:38:35 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 5.1686 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9387 loss: 1.9387 2022/06/29 22:45:50 - mmengine - INFO - Epoch(train) [29][460/3757] lr: 1.000e-02 eta: 20:38:29 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.0056 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0202 loss: 2.0202 2022/06/29 22:45:55 - mmengine - INFO - Epoch(train) [29][480/3757] lr: 1.000e-02 eta: 20:38:23 time: 0.259 data_time: 0.017 memory: 6404 grad_norm: 6.5360 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8346 loss: 1.8346 2022/06/29 22:46:00 - mmengine - INFO - Epoch(train) [29][500/3757] lr: 1.000e-02 eta: 20:38:17 time: 0.242 data_time: 0.015 memory: 6404 grad_norm: 5.4935 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0533 loss: 2.0533 2022/06/29 22:46:06 - mmengine - INFO - Epoch(train) [29][520/3757] lr: 1.000e-02 eta: 20:38:11 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 6.1300 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5622 loss: 1.5622 2022/06/29 22:46:11 - mmengine - INFO - Epoch(train) [29][540/3757] lr: 1.000e-02 eta: 20:38:05 time: 0.255 data_time: 0.012 memory: 6404 grad_norm: 5.6562 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0868 loss: 2.0868 2022/06/29 22:46:17 - mmengine - INFO - Epoch(train) [29][560/3757] lr: 1.000e-02 eta: 20:38:00 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 5.4496 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8858 loss: 1.8858 2022/06/29 22:46:22 - mmengine - INFO - Epoch(train) [29][580/3757] lr: 1.000e-02 eta: 20:37:55 time: 0.285 data_time: 0.006 memory: 6404 grad_norm: 5.4604 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9161 loss: 1.9161 2022/06/29 22:46:28 - mmengine - INFO - Epoch(train) [29][600/3757] lr: 1.000e-02 eta: 20:37:49 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.2978 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6633 loss: 1.6633 2022/06/29 22:46:34 - mmengine - INFO - Epoch(train) [29][620/3757] lr: 1.000e-02 eta: 20:37:44 time: 0.245 data_time: 0.009 memory: 6404 grad_norm: 5.9509 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3620 loss: 2.3620 2022/06/29 22:46:39 - mmengine - INFO - Epoch(train) [29][640/3757] lr: 1.000e-02 eta: 20:37:38 time: 0.282 data_time: 0.007 memory: 6404 grad_norm: 5.6821 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8036 loss: 1.8036 2022/06/29 22:46:45 - mmengine - INFO - Epoch(train) [29][660/3757] lr: 1.000e-02 eta: 20:37:34 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.5167 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7625 loss: 1.7625 2022/06/29 22:46:50 - mmengine - INFO - Epoch(train) [29][680/3757] lr: 1.000e-02 eta: 20:37:27 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 5.9036 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.0700 loss: 2.0700 2022/06/29 22:46:56 - mmengine - INFO - Epoch(train) [29][700/3757] lr: 1.000e-02 eta: 20:37:23 time: 0.275 data_time: 0.012 memory: 6404 grad_norm: 5.5687 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1470 loss: 2.1470 2022/06/29 22:47:01 - mmengine - INFO - Epoch(train) [29][720/3757] lr: 1.000e-02 eta: 20:37:17 time: 0.269 data_time: 0.009 memory: 6404 grad_norm: 5.4692 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0675 loss: 2.0675 2022/06/29 22:47:06 - mmengine - INFO - Epoch(train) [29][740/3757] lr: 1.000e-02 eta: 20:37:10 time: 0.258 data_time: 0.016 memory: 6404 grad_norm: 5.1732 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6316 loss: 1.6316 2022/06/29 22:47:11 - mmengine - INFO - Epoch(train) [29][760/3757] lr: 1.000e-02 eta: 20:37:03 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 5.3631 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0107 loss: 2.0107 2022/06/29 22:47:17 - mmengine - INFO - Epoch(train) [29][780/3757] lr: 1.000e-02 eta: 20:36:57 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.7400 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2729 loss: 2.2729 2022/06/29 22:47:22 - mmengine - INFO - Epoch(train) [29][800/3757] lr: 1.000e-02 eta: 20:36:51 time: 0.254 data_time: 0.018 memory: 6404 grad_norm: 5.7366 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6912 loss: 1.6912 2022/06/29 22:47:23 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 22:47:27 - mmengine - INFO - Epoch(train) [29][820/3757] lr: 1.000e-02 eta: 20:36:45 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 6.1411 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0754 loss: 2.0754 2022/06/29 22:47:32 - mmengine - INFO - Epoch(train) [29][840/3757] lr: 1.000e-02 eta: 20:36:39 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.9737 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8105 loss: 1.8105 2022/06/29 22:47:38 - mmengine - INFO - Epoch(train) [29][860/3757] lr: 1.000e-02 eta: 20:36:35 time: 0.347 data_time: 0.153 memory: 6404 grad_norm: 6.2044 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9876 loss: 1.9876 2022/06/29 22:47:44 - mmengine - INFO - Epoch(train) [29][880/3757] lr: 1.000e-02 eta: 20:36:28 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 5.9259 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9167 loss: 1.9167 2022/06/29 22:47:49 - mmengine - INFO - Epoch(train) [29][900/3757] lr: 1.000e-02 eta: 20:36:24 time: 0.318 data_time: 0.006 memory: 6404 grad_norm: 6.5558 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8697 loss: 1.8697 2022/06/29 22:47:55 - mmengine - INFO - Epoch(train) [29][920/3757] lr: 1.000e-02 eta: 20:36:18 time: 0.242 data_time: 0.054 memory: 6404 grad_norm: 5.9568 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6802 loss: 1.6802 2022/06/29 22:48:00 - mmengine - INFO - Epoch(train) [29][940/3757] lr: 1.000e-02 eta: 20:36:12 time: 0.317 data_time: 0.006 memory: 6404 grad_norm: 6.0457 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5464 loss: 1.5464 2022/06/29 22:48:06 - mmengine - INFO - Epoch(train) [29][960/3757] lr: 1.000e-02 eta: 20:36:07 time: 0.274 data_time: 0.006 memory: 6404 grad_norm: 5.7826 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6550 loss: 1.6550 2022/06/29 22:48:11 - mmengine - INFO - Epoch(train) [29][980/3757] lr: 1.000e-02 eta: 20:36:01 time: 0.247 data_time: 0.026 memory: 6404 grad_norm: 5.0975 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0326 loss: 2.0326 2022/06/29 22:48:17 - mmengine - INFO - Epoch(train) [29][1000/3757] lr: 1.000e-02 eta: 20:35:56 time: 0.325 data_time: 0.008 memory: 6404 grad_norm: 5.8362 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.7967 loss: 1.7967 2022/06/29 22:48:22 - mmengine - INFO - Epoch(train) [29][1020/3757] lr: 1.000e-02 eta: 20:35:50 time: 0.448 data_time: 0.007 memory: 6404 grad_norm: 5.2563 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1347 loss: 2.1347 2022/06/29 22:48:27 - mmengine - INFO - Epoch(train) [29][1040/3757] lr: 1.000e-02 eta: 20:35:44 time: 0.244 data_time: 0.014 memory: 6404 grad_norm: 5.3686 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0165 loss: 2.0165 2022/06/29 22:48:33 - mmengine - INFO - Epoch(train) [29][1060/3757] lr: 1.000e-02 eta: 20:35:39 time: 0.284 data_time: 0.008 memory: 6404 grad_norm: 5.5336 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7013 loss: 1.7013 2022/06/29 22:48:39 - mmengine - INFO - Epoch(train) [29][1080/3757] lr: 1.000e-02 eta: 20:35:33 time: 0.285 data_time: 0.011 memory: 6404 grad_norm: 6.3292 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0222 loss: 2.0222 2022/06/29 22:48:44 - mmengine - INFO - Epoch(train) [29][1100/3757] lr: 1.000e-02 eta: 20:35:28 time: 0.255 data_time: 0.021 memory: 6404 grad_norm: 6.3535 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9488 loss: 1.9488 2022/06/29 22:48:50 - mmengine - INFO - Epoch(train) [29][1120/3757] lr: 1.000e-02 eta: 20:35:22 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 5.3176 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6959 loss: 1.6959 2022/06/29 22:48:55 - mmengine - INFO - Epoch(train) [29][1140/3757] lr: 1.000e-02 eta: 20:35:17 time: 0.277 data_time: 0.008 memory: 6404 grad_norm: 6.3150 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2484 loss: 2.2484 2022/06/29 22:49:01 - mmengine - INFO - Epoch(train) [29][1160/3757] lr: 1.000e-02 eta: 20:35:11 time: 0.249 data_time: 0.041 memory: 6404 grad_norm: 6.2464 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1681 loss: 2.1681 2022/06/29 22:49:06 - mmengine - INFO - Epoch(train) [29][1180/3757] lr: 1.000e-02 eta: 20:35:05 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 5.5896 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7640 loss: 1.7640 2022/06/29 22:49:11 - mmengine - INFO - Epoch(train) [29][1200/3757] lr: 1.000e-02 eta: 20:34:59 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 6.2625 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0665 loss: 2.0665 2022/06/29 22:49:18 - mmengine - INFO - Epoch(train) [29][1220/3757] lr: 1.000e-02 eta: 20:34:56 time: 0.254 data_time: 0.038 memory: 6404 grad_norm: 5.2855 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8260 loss: 1.8260 2022/06/29 22:49:23 - mmengine - INFO - Epoch(train) [29][1240/3757] lr: 1.000e-02 eta: 20:34:49 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 5.2415 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8550 loss: 1.8550 2022/06/29 22:49:28 - mmengine - INFO - Epoch(train) [29][1260/3757] lr: 1.000e-02 eta: 20:34:43 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.1178 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.0750 loss: 2.0750 2022/06/29 22:49:33 - mmengine - INFO - Epoch(train) [29][1280/3757] lr: 1.000e-02 eta: 20:34:36 time: 0.244 data_time: 0.013 memory: 6404 grad_norm: 5.2728 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1842 loss: 2.1842 2022/06/29 22:49:38 - mmengine - INFO - Epoch(train) [29][1300/3757] lr: 1.000e-02 eta: 20:34:30 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 6.4388 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0922 loss: 2.0922 2022/06/29 22:49:43 - mmengine - INFO - Epoch(train) [29][1320/3757] lr: 1.000e-02 eta: 20:34:23 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 6.1371 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9676 loss: 1.9676 2022/06/29 22:49:49 - mmengine - INFO - Epoch(train) [29][1340/3757] lr: 1.000e-02 eta: 20:34:18 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 6.4193 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3349 loss: 1.3349 2022/06/29 22:49:54 - mmengine - INFO - Epoch(train) [29][1360/3757] lr: 1.000e-02 eta: 20:34:12 time: 0.425 data_time: 0.009 memory: 6404 grad_norm: 5.9633 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7885 loss: 1.7885 2022/06/29 22:50:00 - mmengine - INFO - Epoch(train) [29][1380/3757] lr: 1.000e-02 eta: 20:34:07 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 5.4228 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8933 loss: 1.8933 2022/06/29 22:50:06 - mmengine - INFO - Epoch(train) [29][1400/3757] lr: 1.000e-02 eta: 20:34:03 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 5.2848 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8729 loss: 1.8729 2022/06/29 22:50:11 - mmengine - INFO - Epoch(train) [29][1420/3757] lr: 1.000e-02 eta: 20:33:57 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.6859 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0827 loss: 2.0827 2022/06/29 22:50:17 - mmengine - INFO - Epoch(train) [29][1440/3757] lr: 1.000e-02 eta: 20:33:52 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 4.8621 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9901 loss: 1.9901 2022/06/29 22:50:22 - mmengine - INFO - Epoch(train) [29][1460/3757] lr: 1.000e-02 eta: 20:33:46 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 5.3337 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9310 loss: 1.9310 2022/06/29 22:50:28 - mmengine - INFO - Epoch(train) [29][1480/3757] lr: 1.000e-02 eta: 20:33:41 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.1348 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7641 loss: 1.7641 2022/06/29 22:50:34 - mmengine - INFO - Epoch(train) [29][1500/3757] lr: 1.000e-02 eta: 20:33:36 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 5.3139 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8858 loss: 1.8858 2022/06/29 22:50:39 - mmengine - INFO - Epoch(train) [29][1520/3757] lr: 1.000e-02 eta: 20:33:31 time: 0.273 data_time: 0.007 memory: 6404 grad_norm: 5.7209 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8947 loss: 1.8947 2022/06/29 22:50:45 - mmengine - INFO - Epoch(train) [29][1540/3757] lr: 1.000e-02 eta: 20:33:26 time: 0.296 data_time: 0.011 memory: 6404 grad_norm: 5.5113 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8271 loss: 1.8271 2022/06/29 22:50:50 - mmengine - INFO - Epoch(train) [29][1560/3757] lr: 1.000e-02 eta: 20:33:19 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 6.2760 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1960 loss: 2.1960 2022/06/29 22:50:56 - mmengine - INFO - Epoch(train) [29][1580/3757] lr: 1.000e-02 eta: 20:33:14 time: 0.341 data_time: 0.009 memory: 6404 grad_norm: 5.7785 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6796 loss: 1.6796 2022/06/29 22:51:01 - mmengine - INFO - Epoch(train) [29][1600/3757] lr: 1.000e-02 eta: 20:33:09 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 5.2053 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9607 loss: 1.9607 2022/06/29 22:51:07 - mmengine - INFO - Epoch(train) [29][1620/3757] lr: 1.000e-02 eta: 20:33:04 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.7513 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9065 loss: 1.9065 2022/06/29 22:51:13 - mmengine - INFO - Epoch(train) [29][1640/3757] lr: 1.000e-02 eta: 20:32:58 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 6.1018 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9953 loss: 1.9953 2022/06/29 22:51:18 - mmengine - INFO - Epoch(train) [29][1660/3757] lr: 1.000e-02 eta: 20:32:53 time: 0.251 data_time: 0.017 memory: 6404 grad_norm: 6.1945 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7581 loss: 1.7581 2022/06/29 22:51:23 - mmengine - INFO - Epoch(train) [29][1680/3757] lr: 1.000e-02 eta: 20:32:46 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.5948 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2288 loss: 2.2288 2022/06/29 22:51:28 - mmengine - INFO - Epoch(train) [29][1700/3757] lr: 1.000e-02 eta: 20:32:40 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 6.7269 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4269 loss: 1.4269 2022/06/29 22:51:34 - mmengine - INFO - Epoch(train) [29][1720/3757] lr: 1.000e-02 eta: 20:32:35 time: 0.380 data_time: 0.013 memory: 6404 grad_norm: 5.3910 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0618 loss: 2.0618 2022/06/29 22:51:40 - mmengine - INFO - Epoch(train) [29][1740/3757] lr: 1.000e-02 eta: 20:32:29 time: 0.249 data_time: 0.014 memory: 6404 grad_norm: 5.8791 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5527 loss: 1.5527 2022/06/29 22:51:45 - mmengine - INFO - Epoch(train) [29][1760/3757] lr: 1.000e-02 eta: 20:32:24 time: 0.494 data_time: 0.011 memory: 6404 grad_norm: 5.6732 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0191 loss: 2.0191 2022/06/29 22:51:51 - mmengine - INFO - Epoch(train) [29][1780/3757] lr: 1.000e-02 eta: 20:32:19 time: 0.266 data_time: 0.006 memory: 6404 grad_norm: 5.1567 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1474 loss: 2.1474 2022/06/29 22:51:57 - mmengine - INFO - Epoch(train) [29][1800/3757] lr: 1.000e-02 eta: 20:32:14 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.1900 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3378 loss: 2.3378 2022/06/29 22:51:58 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 22:52:02 - mmengine - INFO - Epoch(train) [29][1820/3757] lr: 1.000e-02 eta: 20:32:08 time: 0.355 data_time: 0.012 memory: 6404 grad_norm: 4.9493 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8356 loss: 1.8356 2022/06/29 22:52:07 - mmengine - INFO - Epoch(train) [29][1840/3757] lr: 1.000e-02 eta: 20:32:02 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 5.7596 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1506 loss: 2.1506 2022/06/29 22:52:13 - mmengine - INFO - Epoch(train) [29][1860/3757] lr: 1.000e-02 eta: 20:31:57 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 5.5522 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6208 loss: 1.6208 2022/06/29 22:52:18 - mmengine - INFO - Epoch(train) [29][1880/3757] lr: 1.000e-02 eta: 20:31:51 time: 0.331 data_time: 0.014 memory: 6404 grad_norm: 6.3245 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9237 loss: 1.9237 2022/06/29 22:52:24 - mmengine - INFO - Epoch(train) [29][1900/3757] lr: 1.000e-02 eta: 20:31:46 time: 0.321 data_time: 0.006 memory: 6404 grad_norm: 6.1094 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6748 loss: 1.6748 2022/06/29 22:52:29 - mmengine - INFO - Epoch(train) [29][1920/3757] lr: 1.000e-02 eta: 20:31:40 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 6.4543 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7684 loss: 1.7684 2022/06/29 22:52:35 - mmengine - INFO - Epoch(train) [29][1940/3757] lr: 1.000e-02 eta: 20:31:35 time: 0.483 data_time: 0.008 memory: 6404 grad_norm: 5.5406 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0659 loss: 2.0659 2022/06/29 22:52:40 - mmengine - INFO - Epoch(train) [29][1960/3757] lr: 1.000e-02 eta: 20:31:29 time: 0.679 data_time: 0.007 memory: 6404 grad_norm: 5.5378 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3069 loss: 2.3069 2022/06/29 22:52:46 - mmengine - INFO - Epoch(train) [29][1980/3757] lr: 1.000e-02 eta: 20:31:23 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 5.4757 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2786 loss: 1.2786 2022/06/29 22:52:51 - mmengine - INFO - Epoch(train) [29][2000/3757] lr: 1.000e-02 eta: 20:31:18 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 5.2233 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0766 loss: 2.0766 2022/06/29 22:52:57 - mmengine - INFO - Epoch(train) [29][2020/3757] lr: 1.000e-02 eta: 20:31:12 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 5.3641 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9205 loss: 1.9205 2022/06/29 22:53:02 - mmengine - INFO - Epoch(train) [29][2040/3757] lr: 1.000e-02 eta: 20:31:06 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 6.1215 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8055 loss: 1.8055 2022/06/29 22:53:07 - mmengine - INFO - Epoch(train) [29][2060/3757] lr: 1.000e-02 eta: 20:31:00 time: 0.255 data_time: 0.016 memory: 6404 grad_norm: 5.4294 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3650 loss: 2.3650 2022/06/29 22:53:13 - mmengine - INFO - Epoch(train) [29][2080/3757] lr: 1.000e-02 eta: 20:30:54 time: 0.458 data_time: 0.013 memory: 6404 grad_norm: 5.7011 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9208 loss: 1.9208 2022/06/29 22:53:18 - mmengine - INFO - Epoch(train) [29][2100/3757] lr: 1.000e-02 eta: 20:30:49 time: 0.239 data_time: 0.009 memory: 6404 grad_norm: 6.6848 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2106 loss: 2.2106 2022/06/29 22:53:24 - mmengine - INFO - Epoch(train) [29][2120/3757] lr: 1.000e-02 eta: 20:30:43 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 5.9664 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5226 loss: 1.5226 2022/06/29 22:53:29 - mmengine - INFO - Epoch(train) [29][2140/3757] lr: 1.000e-02 eta: 20:30:37 time: 0.241 data_time: 0.029 memory: 6404 grad_norm: 5.6289 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2185 loss: 2.2185 2022/06/29 22:53:35 - mmengine - INFO - Epoch(train) [29][2160/3757] lr: 1.000e-02 eta: 20:30:32 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 6.2079 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8413 loss: 1.8413 2022/06/29 22:53:40 - mmengine - INFO - Epoch(train) [29][2180/3757] lr: 1.000e-02 eta: 20:30:26 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 5.8922 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7235 loss: 1.7235 2022/06/29 22:53:46 - mmengine - INFO - Epoch(train) [29][2200/3757] lr: 1.000e-02 eta: 20:30:22 time: 0.249 data_time: 0.020 memory: 6404 grad_norm: 4.9250 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8087 loss: 1.8087 2022/06/29 22:53:51 - mmengine - INFO - Epoch(train) [29][2220/3757] lr: 1.000e-02 eta: 20:30:16 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 6.0146 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8977 loss: 1.8977 2022/06/29 22:53:57 - mmengine - INFO - Epoch(train) [29][2240/3757] lr: 1.000e-02 eta: 20:30:11 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 5.6094 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9527 loss: 1.9527 2022/06/29 22:54:02 - mmengine - INFO - Epoch(train) [29][2260/3757] lr: 1.000e-02 eta: 20:30:04 time: 0.265 data_time: 0.012 memory: 6404 grad_norm: 5.2919 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0565 loss: 2.0565 2022/06/29 22:54:07 - mmengine - INFO - Epoch(train) [29][2280/3757] lr: 1.000e-02 eta: 20:29:58 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 5.4075 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6855 loss: 1.6855 2022/06/29 22:54:12 - mmengine - INFO - Epoch(train) [29][2300/3757] lr: 1.000e-02 eta: 20:29:51 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 4.9017 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7286 loss: 1.7286 2022/06/29 22:54:18 - mmengine - INFO - Epoch(train) [29][2320/3757] lr: 1.000e-02 eta: 20:29:46 time: 0.246 data_time: 0.012 memory: 6404 grad_norm: 5.2747 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.2283 loss: 2.2283 2022/06/29 22:54:24 - mmengine - INFO - Epoch(train) [29][2340/3757] lr: 1.000e-02 eta: 20:29:41 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 5.3361 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8580 loss: 1.8580 2022/06/29 22:54:29 - mmengine - INFO - Epoch(train) [29][2360/3757] lr: 1.000e-02 eta: 20:29:34 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 5.8294 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2927 loss: 2.2927 2022/06/29 22:54:34 - mmengine - INFO - Epoch(train) [29][2380/3757] lr: 1.000e-02 eta: 20:29:29 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.3930 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9398 loss: 1.9398 2022/06/29 22:54:40 - mmengine - INFO - Epoch(train) [29][2400/3757] lr: 1.000e-02 eta: 20:29:25 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 5.6649 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8539 loss: 1.8539 2022/06/29 22:54:46 - mmengine - INFO - Epoch(train) [29][2420/3757] lr: 1.000e-02 eta: 20:29:19 time: 0.265 data_time: 0.016 memory: 6404 grad_norm: 5.1551 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9782 loss: 1.9782 2022/06/29 22:54:51 - mmengine - INFO - Epoch(train) [29][2440/3757] lr: 1.000e-02 eta: 20:29:13 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 5.7799 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0799 loss: 2.0799 2022/06/29 22:54:57 - mmengine - INFO - Epoch(train) [29][2460/3757] lr: 1.000e-02 eta: 20:29:08 time: 0.250 data_time: 0.051 memory: 6404 grad_norm: 5.2747 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1333 loss: 2.1333 2022/06/29 22:55:02 - mmengine - INFO - Epoch(train) [29][2480/3757] lr: 1.000e-02 eta: 20:29:02 time: 0.237 data_time: 0.009 memory: 6404 grad_norm: 6.3405 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0697 loss: 2.0697 2022/06/29 22:55:08 - mmengine - INFO - Epoch(train) [29][2500/3757] lr: 1.000e-02 eta: 20:28:56 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.1854 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4813 loss: 1.4813 2022/06/29 22:55:13 - mmengine - INFO - Epoch(train) [29][2520/3757] lr: 1.000e-02 eta: 20:28:52 time: 0.262 data_time: 0.010 memory: 6404 grad_norm: 5.7129 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6377 loss: 2.6377 2022/06/29 22:55:19 - mmengine - INFO - Epoch(train) [29][2540/3757] lr: 1.000e-02 eta: 20:28:47 time: 0.268 data_time: 0.013 memory: 6404 grad_norm: 5.2458 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9767 loss: 1.9767 2022/06/29 22:55:24 - mmengine - INFO - Epoch(train) [29][2560/3757] lr: 1.000e-02 eta: 20:28:41 time: 0.258 data_time: 0.016 memory: 6404 grad_norm: 6.5022 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6435 loss: 1.6435 2022/06/29 22:55:30 - mmengine - INFO - Epoch(train) [29][2580/3757] lr: 1.000e-02 eta: 20:28:34 time: 0.241 data_time: 0.011 memory: 6404 grad_norm: 5.2903 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6427 loss: 1.6427 2022/06/29 22:55:35 - mmengine - INFO - Epoch(train) [29][2600/3757] lr: 1.000e-02 eta: 20:28:29 time: 0.611 data_time: 0.019 memory: 6404 grad_norm: 6.0104 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0896 loss: 2.0896 2022/06/29 22:55:40 - mmengine - INFO - Epoch(train) [29][2620/3757] lr: 1.000e-02 eta: 20:28:22 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 5.9940 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0674 loss: 2.0674 2022/06/29 22:55:45 - mmengine - INFO - Epoch(train) [29][2640/3757] lr: 1.000e-02 eta: 20:28:16 time: 0.258 data_time: 0.013 memory: 6404 grad_norm: 5.4480 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0836 loss: 2.0836 2022/06/29 22:55:51 - mmengine - INFO - Epoch(train) [29][2660/3757] lr: 1.000e-02 eta: 20:28:11 time: 0.263 data_time: 0.019 memory: 6404 grad_norm: 5.0335 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0520 loss: 2.0520 2022/06/29 22:55:57 - mmengine - INFO - Epoch(train) [29][2680/3757] lr: 1.000e-02 eta: 20:28:06 time: 0.254 data_time: 0.020 memory: 6404 grad_norm: 5.4461 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8374 loss: 1.8374 2022/06/29 22:56:02 - mmengine - INFO - Epoch(train) [29][2700/3757] lr: 1.000e-02 eta: 20:27:59 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 6.3520 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1087 loss: 2.1087 2022/06/29 22:56:07 - mmengine - INFO - Epoch(train) [29][2720/3757] lr: 1.000e-02 eta: 20:27:53 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 5.5044 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8210 loss: 1.8210 2022/06/29 22:56:13 - mmengine - INFO - Epoch(train) [29][2740/3757] lr: 1.000e-02 eta: 20:27:47 time: 0.256 data_time: 0.024 memory: 6404 grad_norm: 5.7322 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9968 loss: 1.9968 2022/06/29 22:56:18 - mmengine - INFO - Epoch(train) [29][2760/3757] lr: 1.000e-02 eta: 20:27:43 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 5.5545 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9854 loss: 1.9854 2022/06/29 22:56:24 - mmengine - INFO - Epoch(train) [29][2780/3757] lr: 1.000e-02 eta: 20:27:37 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.5464 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8620 loss: 1.8620 2022/06/29 22:56:29 - mmengine - INFO - Epoch(train) [29][2800/3757] lr: 1.000e-02 eta: 20:27:32 time: 0.261 data_time: 0.028 memory: 6404 grad_norm: 5.6481 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8001 loss: 1.8001 2022/06/29 22:56:30 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 22:56:35 - mmengine - INFO - Epoch(train) [29][2820/3757] lr: 1.000e-02 eta: 20:27:27 time: 0.273 data_time: 0.082 memory: 6404 grad_norm: 5.5900 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8093 loss: 1.8093 2022/06/29 22:56:40 - mmengine - INFO - Epoch(train) [29][2840/3757] lr: 1.000e-02 eta: 20:27:21 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 6.3164 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8306 loss: 1.8306 2022/06/29 22:56:46 - mmengine - INFO - Epoch(train) [29][2860/3757] lr: 1.000e-02 eta: 20:27:15 time: 0.256 data_time: 0.029 memory: 6404 grad_norm: 5.5458 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7930 loss: 1.7930 2022/06/29 22:56:51 - mmengine - INFO - Epoch(train) [29][2880/3757] lr: 1.000e-02 eta: 20:27:09 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.8300 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9359 loss: 1.9359 2022/06/29 22:56:56 - mmengine - INFO - Epoch(train) [29][2900/3757] lr: 1.000e-02 eta: 20:27:03 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 5.6464 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7246 loss: 1.7246 2022/06/29 22:57:01 - mmengine - INFO - Epoch(train) [29][2920/3757] lr: 1.000e-02 eta: 20:26:56 time: 0.261 data_time: 0.034 memory: 6404 grad_norm: 5.9951 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2502 loss: 2.2502 2022/06/29 22:57:07 - mmengine - INFO - Epoch(train) [29][2940/3757] lr: 1.000e-02 eta: 20:26:51 time: 0.389 data_time: 0.007 memory: 6404 grad_norm: 5.5987 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0491 loss: 2.0491 2022/06/29 22:57:12 - mmengine - INFO - Epoch(train) [29][2960/3757] lr: 1.000e-02 eta: 20:26:45 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 5.1013 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8046 loss: 1.8046 2022/06/29 22:57:18 - mmengine - INFO - Epoch(train) [29][2980/3757] lr: 1.000e-02 eta: 20:26:40 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 5.1957 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8225 loss: 1.8225 2022/06/29 22:57:24 - mmengine - INFO - Epoch(train) [29][3000/3757] lr: 1.000e-02 eta: 20:26:35 time: 0.679 data_time: 0.016 memory: 6404 grad_norm: 5.3589 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4873 loss: 2.4873 2022/06/29 22:57:29 - mmengine - INFO - Epoch(train) [29][3020/3757] lr: 1.000e-02 eta: 20:26:30 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 4.9104 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3057 loss: 2.3057 2022/06/29 22:57:35 - mmengine - INFO - Epoch(train) [29][3040/3757] lr: 1.000e-02 eta: 20:26:24 time: 0.327 data_time: 0.011 memory: 6404 grad_norm: 6.3626 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8534 loss: 1.8534 2022/06/29 22:57:40 - mmengine - INFO - Epoch(train) [29][3060/3757] lr: 1.000e-02 eta: 20:26:18 time: 0.282 data_time: 0.011 memory: 6404 grad_norm: 6.0825 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3954 loss: 2.3954 2022/06/29 22:57:46 - mmengine - INFO - Epoch(train) [29][3080/3757] lr: 1.000e-02 eta: 20:26:13 time: 0.259 data_time: 0.015 memory: 6404 grad_norm: 5.5924 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3737 loss: 2.3737 2022/06/29 22:57:51 - mmengine - INFO - Epoch(train) [29][3100/3757] lr: 1.000e-02 eta: 20:26:07 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 5.6671 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9312 loss: 1.9312 2022/06/29 22:57:57 - mmengine - INFO - Epoch(train) [29][3120/3757] lr: 1.000e-02 eta: 20:26:02 time: 0.249 data_time: 0.016 memory: 6404 grad_norm: 6.1063 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7493 loss: 1.7493 2022/06/29 22:58:02 - mmengine - INFO - Epoch(train) [29][3140/3757] lr: 1.000e-02 eta: 20:25:56 time: 0.258 data_time: 0.064 memory: 6404 grad_norm: 5.3235 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2526 loss: 2.2526 2022/06/29 22:58:08 - mmengine - INFO - Epoch(train) [29][3160/3757] lr: 1.000e-02 eta: 20:25:50 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.6802 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9497 loss: 1.9497 2022/06/29 22:58:13 - mmengine - INFO - Epoch(train) [29][3180/3757] lr: 1.000e-02 eta: 20:25:45 time: 0.273 data_time: 0.023 memory: 6404 grad_norm: 6.1133 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3211 loss: 2.3211 2022/06/29 22:58:19 - mmengine - INFO - Epoch(train) [29][3200/3757] lr: 1.000e-02 eta: 20:25:41 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.0199 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8342 loss: 1.8342 2022/06/29 22:58:25 - mmengine - INFO - Epoch(train) [29][3220/3757] lr: 1.000e-02 eta: 20:25:35 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 6.0448 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8111 loss: 1.8111 2022/06/29 22:58:30 - mmengine - INFO - Epoch(train) [29][3240/3757] lr: 1.000e-02 eta: 20:25:28 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 5.3038 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0416 loss: 2.0416 2022/06/29 22:58:35 - mmengine - INFO - Epoch(train) [29][3260/3757] lr: 1.000e-02 eta: 20:25:22 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.4052 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5704 loss: 1.5704 2022/06/29 22:58:41 - mmengine - INFO - Epoch(train) [29][3280/3757] lr: 1.000e-02 eta: 20:25:17 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.5806 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8917 loss: 1.8917 2022/06/29 22:58:46 - mmengine - INFO - Epoch(train) [29][3300/3757] lr: 1.000e-02 eta: 20:25:12 time: 0.242 data_time: 0.010 memory: 6404 grad_norm: 5.4179 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5287 loss: 2.5287 2022/06/29 22:58:52 - mmengine - INFO - Epoch(train) [29][3320/3757] lr: 1.000e-02 eta: 20:25:06 time: 0.241 data_time: 0.029 memory: 6404 grad_norm: 5.4257 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0225 loss: 2.0225 2022/06/29 22:58:57 - mmengine - INFO - Epoch(train) [29][3340/3757] lr: 1.000e-02 eta: 20:25:01 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.1051 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8354 loss: 1.8354 2022/06/29 22:59:03 - mmengine - INFO - Epoch(train) [29][3360/3757] lr: 1.000e-02 eta: 20:24:55 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.9484 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1048 loss: 2.1048 2022/06/29 22:59:08 - mmengine - INFO - Epoch(train) [29][3380/3757] lr: 1.000e-02 eta: 20:24:48 time: 0.256 data_time: 0.030 memory: 6404 grad_norm: 5.5018 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8464 loss: 1.8464 2022/06/29 22:59:14 - mmengine - INFO - Epoch(train) [29][3400/3757] lr: 1.000e-02 eta: 20:24:44 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.5701 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7870 loss: 1.7870 2022/06/29 22:59:19 - mmengine - INFO - Epoch(train) [29][3420/3757] lr: 1.000e-02 eta: 20:24:39 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 5.8836 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0552 loss: 2.0552 2022/06/29 22:59:24 - mmengine - INFO - Epoch(train) [29][3440/3757] lr: 1.000e-02 eta: 20:24:33 time: 0.253 data_time: 0.023 memory: 6404 grad_norm: 5.4045 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7046 loss: 1.7046 2022/06/29 22:59:30 - mmengine - INFO - Epoch(train) [29][3460/3757] lr: 1.000e-02 eta: 20:24:28 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 5.5941 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6299 loss: 1.6299 2022/06/29 22:59:36 - mmengine - INFO - Epoch(train) [29][3480/3757] lr: 1.000e-02 eta: 20:24:22 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 6.5570 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8946 loss: 1.8946 2022/06/29 22:59:41 - mmengine - INFO - Epoch(train) [29][3500/3757] lr: 1.000e-02 eta: 20:24:16 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 4.8541 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0311 loss: 2.0311 2022/06/29 22:59:47 - mmengine - INFO - Epoch(train) [29][3520/3757] lr: 1.000e-02 eta: 20:24:12 time: 0.251 data_time: 0.063 memory: 6404 grad_norm: 5.5784 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6612 loss: 1.6612 2022/06/29 22:59:53 - mmengine - INFO - Epoch(train) [29][3540/3757] lr: 1.000e-02 eta: 20:24:09 time: 0.267 data_time: 0.006 memory: 6404 grad_norm: 6.3495 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7773 loss: 1.7773 2022/06/29 22:59:59 - mmengine - INFO - Epoch(train) [29][3560/3757] lr: 1.000e-02 eta: 20:24:02 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 5.6528 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1276 loss: 2.1276 2022/06/29 23:00:04 - mmengine - INFO - Epoch(train) [29][3580/3757] lr: 1.000e-02 eta: 20:23:56 time: 0.263 data_time: 0.013 memory: 6404 grad_norm: 6.0120 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1452 loss: 2.1452 2022/06/29 23:00:09 - mmengine - INFO - Epoch(train) [29][3600/3757] lr: 1.000e-02 eta: 20:23:50 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.2003 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9046 loss: 1.9046 2022/06/29 23:00:14 - mmengine - INFO - Epoch(train) [29][3620/3757] lr: 1.000e-02 eta: 20:23:43 time: 0.257 data_time: 0.015 memory: 6404 grad_norm: 5.6367 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2128 loss: 2.2128 2022/06/29 23:00:20 - mmengine - INFO - Epoch(train) [29][3640/3757] lr: 1.000e-02 eta: 20:23:39 time: 0.249 data_time: 0.020 memory: 6404 grad_norm: 4.9897 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1806 loss: 2.1806 2022/06/29 23:00:26 - mmengine - INFO - Epoch(train) [29][3660/3757] lr: 1.000e-02 eta: 20:23:34 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 5.7786 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9617 loss: 1.9617 2022/06/29 23:00:31 - mmengine - INFO - Epoch(train) [29][3680/3757] lr: 1.000e-02 eta: 20:23:28 time: 0.251 data_time: 0.018 memory: 6404 grad_norm: 5.7652 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8662 loss: 1.8662 2022/06/29 23:00:37 - mmengine - INFO - Epoch(train) [29][3700/3757] lr: 1.000e-02 eta: 20:23:23 time: 0.256 data_time: 0.015 memory: 6404 grad_norm: 5.7808 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5463 loss: 1.5463 2022/06/29 23:00:42 - mmengine - INFO - Epoch(train) [29][3720/3757] lr: 1.000e-02 eta: 20:23:17 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 6.4457 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3691 loss: 2.3691 2022/06/29 23:00:48 - mmengine - INFO - Epoch(train) [29][3740/3757] lr: 1.000e-02 eta: 20:23:11 time: 0.250 data_time: 0.064 memory: 6404 grad_norm: 5.8038 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0293 loss: 2.0293 2022/06/29 23:00:52 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 23:00:59 - mmengine - INFO - Epoch(val) [29][20/310] eta: 0:01:22 time: 0.106 data_time: 0.024 memory: 6404 2022/06/29 23:01:05 - mmengine - INFO - Epoch(val) [29][40/310] eta: 0:01:18 time: 0.090 data_time: 0.005 memory: 1479 2022/06/29 23:01:09 - mmengine - INFO - Epoch(val) [29][60/310] eta: 0:00:29 time: 0.098 data_time: 0.009 memory: 1479 2022/06/29 23:01:15 - mmengine - INFO - Epoch(val) [29][80/310] eta: 0:01:10 time: 0.086 data_time: 0.007 memory: 1479 2022/06/29 23:01:21 - mmengine - INFO - Epoch(val) [29][100/310] eta: 0:01:02 time: 0.095 data_time: 0.005 memory: 1479 2022/06/29 23:01:25 - mmengine - INFO - Epoch(val) [29][120/310] eta: 0:00:32 time: 0.088 data_time: 0.008 memory: 1479 2022/06/29 23:01:31 - mmengine - INFO - Epoch(val) [29][140/310] eta: 0:00:48 time: 0.091 data_time: 0.007 memory: 1479 2022/06/29 23:01:36 - mmengine - INFO - Epoch(val) [29][160/310] eta: 0:00:43 time: 0.089 data_time: 0.005 memory: 1479 2022/06/29 23:01:41 - mmengine - INFO - Epoch(val) [29][180/310] eta: 0:00:34 time: 0.087 data_time: 0.005 memory: 1479 2022/06/29 23:01:47 - mmengine - INFO - Epoch(val) [29][200/310] eta: 0:00:32 time: 0.099 data_time: 0.013 memory: 1479 2022/06/29 23:01:53 - mmengine - INFO - Epoch(val) [29][220/310] eta: 0:00:31 time: 0.101 data_time: 0.009 memory: 1479 2022/06/29 23:01:57 - mmengine - INFO - Epoch(val) [29][240/310] eta: 0:00:21 time: 0.092 data_time: 0.005 memory: 1479 2022/06/29 23:02:03 - mmengine - INFO - Epoch(val) [29][260/310] eta: 0:00:15 time: 0.080 data_time: 0.006 memory: 1479 2022/06/29 23:02:09 - mmengine - INFO - Epoch(val) [29][280/310] eta: 0:00:09 time: 0.101 data_time: 0.009 memory: 1479 2022/06/29 23:02:13 - mmengine - INFO - Epoch(val) [29][300/310] eta: 0:00:02 time: 0.097 data_time: 0.005 memory: 1479 2022/06/29 23:02:15 - mmengine - INFO - Epoch(val) [29][310/310] acc/top1: 0.5727 acc/top5: 0.8104 acc/mean1: 0.5726 2022/06/29 23:02:25 - mmengine - INFO - Epoch(train) [30][20/3757] lr: 1.000e-02 eta: 20:23:04 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 6.2456 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6646 loss: 1.6646 2022/06/29 23:02:30 - mmengine - INFO - Epoch(train) [30][40/3757] lr: 1.000e-02 eta: 20:22:59 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.3684 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2094 loss: 2.2094 2022/06/29 23:02:32 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 23:02:36 - mmengine - INFO - Epoch(train) [30][60/3757] lr: 1.000e-02 eta: 20:22:54 time: 0.266 data_time: 0.011 memory: 6404 grad_norm: 6.6085 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5539 loss: 1.5539 2022/06/29 23:02:42 - mmengine - INFO - Epoch(train) [30][80/3757] lr: 1.000e-02 eta: 20:22:49 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.2909 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4984 loss: 1.4984 2022/06/29 23:02:47 - mmengine - INFO - Epoch(train) [30][100/3757] lr: 1.000e-02 eta: 20:22:44 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 6.1555 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8573 loss: 1.8573 2022/06/29 23:02:52 - mmengine - INFO - Epoch(train) [30][120/3757] lr: 1.000e-02 eta: 20:22:37 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.7710 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0675 loss: 2.0675 2022/06/29 23:02:58 - mmengine - INFO - Epoch(train) [30][140/3757] lr: 1.000e-02 eta: 20:22:32 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 6.2042 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3109 loss: 1.3109 2022/06/29 23:03:03 - mmengine - INFO - Epoch(train) [30][160/3757] lr: 1.000e-02 eta: 20:22:26 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 4.9897 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3988 loss: 2.3988 2022/06/29 23:03:09 - mmengine - INFO - Epoch(train) [30][180/3757] lr: 1.000e-02 eta: 20:22:20 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.1559 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0131 loss: 2.0131 2022/06/29 23:03:15 - mmengine - INFO - Epoch(train) [30][200/3757] lr: 1.000e-02 eta: 20:22:16 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.4360 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0985 loss: 2.0985 2022/06/29 23:03:20 - mmengine - INFO - Epoch(train) [30][220/3757] lr: 1.000e-02 eta: 20:22:10 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 6.1297 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2477 loss: 2.2477 2022/06/29 23:03:25 - mmengine - INFO - Epoch(train) [30][240/3757] lr: 1.000e-02 eta: 20:22:04 time: 0.276 data_time: 0.007 memory: 6404 grad_norm: 5.9275 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0229 loss: 2.0229 2022/06/29 23:03:31 - mmengine - INFO - Epoch(train) [30][260/3757] lr: 1.000e-02 eta: 20:21:59 time: 0.255 data_time: 0.021 memory: 6404 grad_norm: 5.8739 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7189 loss: 1.7189 2022/06/29 23:03:36 - mmengine - INFO - Epoch(train) [30][280/3757] lr: 1.000e-02 eta: 20:21:53 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.8235 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3638 loss: 2.3638 2022/06/29 23:03:42 - mmengine - INFO - Epoch(train) [30][300/3757] lr: 1.000e-02 eta: 20:21:47 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 5.2939 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8246 loss: 1.8246 2022/06/29 23:03:47 - mmengine - INFO - Epoch(train) [30][320/3757] lr: 1.000e-02 eta: 20:21:42 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.7004 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9986 loss: 1.9986 2022/06/29 23:03:52 - mmengine - INFO - Epoch(train) [30][340/3757] lr: 1.000e-02 eta: 20:21:35 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.9239 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0261 loss: 2.0261 2022/06/29 23:03:58 - mmengine - INFO - Epoch(train) [30][360/3757] lr: 1.000e-02 eta: 20:21:30 time: 0.272 data_time: 0.006 memory: 6404 grad_norm: 6.2187 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8872 loss: 1.8872 2022/06/29 23:04:03 - mmengine - INFO - Epoch(train) [30][380/3757] lr: 1.000e-02 eta: 20:21:24 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.5895 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0900 loss: 2.0900 2022/06/29 23:04:09 - mmengine - INFO - Epoch(train) [30][400/3757] lr: 1.000e-02 eta: 20:21:19 time: 0.253 data_time: 0.015 memory: 6404 grad_norm: 5.4172 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7166 loss: 1.7166 2022/06/29 23:04:14 - mmengine - INFO - Epoch(train) [30][420/3757] lr: 1.000e-02 eta: 20:21:13 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 6.7344 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0073 loss: 2.0073 2022/06/29 23:04:19 - mmengine - INFO - Epoch(train) [30][440/3757] lr: 1.000e-02 eta: 20:21:06 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 5.8931 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3077 loss: 2.3077 2022/06/29 23:04:24 - mmengine - INFO - Epoch(train) [30][460/3757] lr: 1.000e-02 eta: 20:21:00 time: 0.246 data_time: 0.013 memory: 6404 grad_norm: 5.4495 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0879 loss: 2.0879 2022/06/29 23:04:30 - mmengine - INFO - Epoch(train) [30][480/3757] lr: 1.000e-02 eta: 20:20:53 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 5.0526 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8234 loss: 1.8234 2022/06/29 23:04:35 - mmengine - INFO - Epoch(train) [30][500/3757] lr: 1.000e-02 eta: 20:20:47 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 6.2598 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5490 loss: 1.5490 2022/06/29 23:04:40 - mmengine - INFO - Epoch(train) [30][520/3757] lr: 1.000e-02 eta: 20:20:42 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 4.9572 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9976 loss: 1.9976 2022/06/29 23:04:46 - mmengine - INFO - Epoch(train) [30][540/3757] lr: 1.000e-02 eta: 20:20:38 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.7059 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6374 loss: 2.6374 2022/06/29 23:04:52 - mmengine - INFO - Epoch(train) [30][560/3757] lr: 1.000e-02 eta: 20:20:31 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 5.0091 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6887 loss: 1.6887 2022/06/29 23:04:57 - mmengine - INFO - Epoch(train) [30][580/3757] lr: 1.000e-02 eta: 20:20:25 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.2927 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8926 loss: 1.8926 2022/06/29 23:05:03 - mmengine - INFO - Epoch(train) [30][600/3757] lr: 1.000e-02 eta: 20:20:21 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 6.4833 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2809 loss: 2.2809 2022/06/29 23:05:09 - mmengine - INFO - Epoch(train) [30][620/3757] lr: 1.000e-02 eta: 20:20:16 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 4.8834 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8183 loss: 1.8183 2022/06/29 23:05:14 - mmengine - INFO - Epoch(train) [30][640/3757] lr: 1.000e-02 eta: 20:20:10 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.2964 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1054 loss: 2.1054 2022/06/29 23:05:19 - mmengine - INFO - Epoch(train) [30][660/3757] lr: 1.000e-02 eta: 20:20:04 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.7330 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1415 loss: 2.1415 2022/06/29 23:05:24 - mmengine - INFO - Epoch(train) [30][680/3757] lr: 1.000e-02 eta: 20:19:58 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.4147 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0080 loss: 2.0080 2022/06/29 23:05:30 - mmengine - INFO - Epoch(train) [30][700/3757] lr: 1.000e-02 eta: 20:19:53 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 6.3923 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6950 loss: 1.6950 2022/06/29 23:05:36 - mmengine - INFO - Epoch(train) [30][720/3757] lr: 1.000e-02 eta: 20:19:47 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 4.8211 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0044 loss: 2.0044 2022/06/29 23:05:41 - mmengine - INFO - Epoch(train) [30][740/3757] lr: 1.000e-02 eta: 20:19:42 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 5.2239 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5409 loss: 1.5409 2022/06/29 23:05:47 - mmengine - INFO - Epoch(train) [30][760/3757] lr: 1.000e-02 eta: 20:19:36 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.6419 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2459 loss: 2.2459 2022/06/29 23:05:52 - mmengine - INFO - Epoch(train) [30][780/3757] lr: 1.000e-02 eta: 20:19:30 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 6.5346 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9990 loss: 1.9990 2022/06/29 23:05:57 - mmengine - INFO - Epoch(train) [30][800/3757] lr: 1.000e-02 eta: 20:19:25 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 6.7733 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1672 loss: 2.1672 2022/06/29 23:06:03 - mmengine - INFO - Epoch(train) [30][820/3757] lr: 1.000e-02 eta: 20:19:19 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 6.6045 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.8849 loss: 1.8849 2022/06/29 23:06:09 - mmengine - INFO - Epoch(train) [30][840/3757] lr: 1.000e-02 eta: 20:19:16 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.0895 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9142 loss: 1.9142 2022/06/29 23:06:14 - mmengine - INFO - Epoch(train) [30][860/3757] lr: 1.000e-02 eta: 20:19:09 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 4.9819 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0712 loss: 2.0712 2022/06/29 23:06:20 - mmengine - INFO - Epoch(train) [30][880/3757] lr: 1.000e-02 eta: 20:19:03 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 5.6254 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0600 loss: 2.0600 2022/06/29 23:06:25 - mmengine - INFO - Epoch(train) [30][900/3757] lr: 1.000e-02 eta: 20:18:56 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.9191 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5155 loss: 1.5155 2022/06/29 23:06:30 - mmengine - INFO - Epoch(train) [30][920/3757] lr: 1.000e-02 eta: 20:18:51 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.2199 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2928 loss: 2.2928 2022/06/29 23:06:36 - mmengine - INFO - Epoch(train) [30][940/3757] lr: 1.000e-02 eta: 20:18:46 time: 0.427 data_time: 0.017 memory: 6404 grad_norm: 5.4366 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1462 loss: 2.1462 2022/06/29 23:06:41 - mmengine - INFO - Epoch(train) [30][960/3757] lr: 1.000e-02 eta: 20:18:39 time: 0.263 data_time: 0.014 memory: 6404 grad_norm: 5.8564 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3042 loss: 2.3042 2022/06/29 23:06:47 - mmengine - INFO - Epoch(train) [30][980/3757] lr: 1.000e-02 eta: 20:18:34 time: 0.256 data_time: 0.015 memory: 6404 grad_norm: 4.7430 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3049 loss: 2.3049 2022/06/29 23:06:52 - mmengine - INFO - Epoch(train) [30][1000/3757] lr: 1.000e-02 eta: 20:18:29 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 5.0714 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5639 loss: 1.5639 2022/06/29 23:06:58 - mmengine - INFO - Epoch(train) [30][1020/3757] lr: 1.000e-02 eta: 20:18:23 time: 0.249 data_time: 0.015 memory: 6404 grad_norm: 4.5074 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.9238 loss: 1.9238 2022/06/29 23:07:03 - mmengine - INFO - Epoch(train) [30][1040/3757] lr: 1.000e-02 eta: 20:18:18 time: 0.261 data_time: 0.006 memory: 6404 grad_norm: 4.6313 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8495 loss: 1.8495 2022/06/29 23:07:05 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 23:07:09 - mmengine - INFO - Epoch(train) [30][1060/3757] lr: 1.000e-02 eta: 20:18:13 time: 0.259 data_time: 0.012 memory: 6404 grad_norm: 6.3440 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1476 loss: 2.1476 2022/06/29 23:07:15 - mmengine - INFO - Epoch(train) [30][1080/3757] lr: 1.000e-02 eta: 20:18:08 time: 0.505 data_time: 0.315 memory: 6404 grad_norm: 5.6651 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5648 loss: 1.5648 2022/06/29 23:07:20 - mmengine - INFO - Epoch(train) [30][1100/3757] lr: 1.000e-02 eta: 20:18:02 time: 0.239 data_time: 0.006 memory: 6404 grad_norm: 5.5672 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1205 loss: 2.1205 2022/06/29 23:07:26 - mmengine - INFO - Epoch(train) [30][1120/3757] lr: 1.000e-02 eta: 20:17:58 time: 0.529 data_time: 0.008 memory: 6404 grad_norm: 6.2013 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0134 loss: 2.0134 2022/06/29 23:07:31 - mmengine - INFO - Epoch(train) [30][1140/3757] lr: 1.000e-02 eta: 20:17:52 time: 0.262 data_time: 0.073 memory: 6404 grad_norm: 6.0016 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9211 loss: 1.9211 2022/06/29 23:07:37 - mmengine - INFO - Epoch(train) [30][1160/3757] lr: 1.000e-02 eta: 20:17:46 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 6.0683 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0779 loss: 2.0779 2022/06/29 23:07:42 - mmengine - INFO - Epoch(train) [30][1180/3757] lr: 1.000e-02 eta: 20:17:41 time: 0.277 data_time: 0.006 memory: 6404 grad_norm: 5.5452 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6523 loss: 1.6523 2022/06/29 23:07:48 - mmengine - INFO - Epoch(train) [30][1200/3757] lr: 1.000e-02 eta: 20:17:35 time: 0.249 data_time: 0.023 memory: 6404 grad_norm: 5.1609 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9311 loss: 1.9311 2022/06/29 23:07:53 - mmengine - INFO - Epoch(train) [30][1220/3757] lr: 1.000e-02 eta: 20:17:29 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.6821 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9796 loss: 1.9796 2022/06/29 23:07:59 - mmengine - INFO - Epoch(train) [30][1240/3757] lr: 1.000e-02 eta: 20:17:24 time: 0.262 data_time: 0.010 memory: 6404 grad_norm: 7.5456 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4401 loss: 2.4401 2022/06/29 23:08:04 - mmengine - INFO - Epoch(train) [30][1260/3757] lr: 1.000e-02 eta: 20:17:18 time: 0.260 data_time: 0.022 memory: 6404 grad_norm: 5.9888 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5306 loss: 1.5306 2022/06/29 23:08:10 - mmengine - INFO - Epoch(train) [30][1280/3757] lr: 1.000e-02 eta: 20:17:13 time: 0.247 data_time: 0.013 memory: 6404 grad_norm: 5.8416 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7921 loss: 1.7921 2022/06/29 23:08:15 - mmengine - INFO - Epoch(train) [30][1300/3757] lr: 1.000e-02 eta: 20:17:06 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.9537 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6675 loss: 1.6675 2022/06/29 23:08:20 - mmengine - INFO - Epoch(train) [30][1320/3757] lr: 1.000e-02 eta: 20:17:00 time: 0.241 data_time: 0.014 memory: 6404 grad_norm: 5.5609 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.6216 loss: 1.6216 2022/06/29 23:08:25 - mmengine - INFO - Epoch(train) [30][1340/3757] lr: 1.000e-02 eta: 20:16:53 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 5.4660 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8497 loss: 1.8497 2022/06/29 23:08:31 - mmengine - INFO - Epoch(train) [30][1360/3757] lr: 1.000e-02 eta: 20:16:49 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 6.1382 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9108 loss: 1.9108 2022/06/29 23:08:36 - mmengine - INFO - Epoch(train) [30][1380/3757] lr: 1.000e-02 eta: 20:16:42 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 5.3304 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4893 loss: 2.4893 2022/06/29 23:08:42 - mmengine - INFO - Epoch(train) [30][1400/3757] lr: 1.000e-02 eta: 20:16:37 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 4.7643 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3503 loss: 2.3503 2022/06/29 23:08:48 - mmengine - INFO - Epoch(train) [30][1420/3757] lr: 1.000e-02 eta: 20:16:34 time: 0.279 data_time: 0.007 memory: 6404 grad_norm: 5.3695 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0140 loss: 2.0140 2022/06/29 23:08:53 - mmengine - INFO - Epoch(train) [30][1440/3757] lr: 1.000e-02 eta: 20:16:28 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.8029 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1148 loss: 2.1148 2022/06/29 23:08:58 - mmengine - INFO - Epoch(train) [30][1460/3757] lr: 1.000e-02 eta: 20:16:21 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.6715 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1168 loss: 2.1168 2022/06/29 23:09:04 - mmengine - INFO - Epoch(train) [30][1480/3757] lr: 1.000e-02 eta: 20:16:15 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 5.3045 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7452 loss: 1.7452 2022/06/29 23:09:10 - mmengine - INFO - Epoch(train) [30][1500/3757] lr: 1.000e-02 eta: 20:16:10 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 4.9331 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5202 loss: 1.5202 2022/06/29 23:09:15 - mmengine - INFO - Epoch(train) [30][1520/3757] lr: 1.000e-02 eta: 20:16:05 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 6.5245 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3281 loss: 2.3281 2022/06/29 23:09:21 - mmengine - INFO - Epoch(train) [30][1540/3757] lr: 1.000e-02 eta: 20:16:00 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 4.3983 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5066 loss: 1.5066 2022/06/29 23:09:26 - mmengine - INFO - Epoch(train) [30][1560/3757] lr: 1.000e-02 eta: 20:15:53 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.2800 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7031 loss: 1.7031 2022/06/29 23:09:32 - mmengine - INFO - Epoch(train) [30][1580/3757] lr: 1.000e-02 eta: 20:15:49 time: 0.239 data_time: 0.006 memory: 6404 grad_norm: 5.8668 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8403 loss: 1.8403 2022/06/29 23:09:38 - mmengine - INFO - Epoch(train) [30][1600/3757] lr: 1.000e-02 eta: 20:15:44 time: 0.259 data_time: 0.023 memory: 6404 grad_norm: 6.5093 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0833 loss: 2.0833 2022/06/29 23:09:43 - mmengine - INFO - Epoch(train) [30][1620/3757] lr: 1.000e-02 eta: 20:15:38 time: 0.261 data_time: 0.013 memory: 6404 grad_norm: 5.4473 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9635 loss: 1.9635 2022/06/29 23:09:49 - mmengine - INFO - Epoch(train) [30][1640/3757] lr: 1.000e-02 eta: 20:15:34 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 6.1115 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7613 loss: 1.7613 2022/06/29 23:09:54 - mmengine - INFO - Epoch(train) [30][1660/3757] lr: 1.000e-02 eta: 20:15:28 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.3454 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7537 loss: 1.7537 2022/06/29 23:10:00 - mmengine - INFO - Epoch(train) [30][1680/3757] lr: 1.000e-02 eta: 20:15:22 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 5.2950 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1487 loss: 2.1487 2022/06/29 23:10:05 - mmengine - INFO - Epoch(train) [30][1700/3757] lr: 1.000e-02 eta: 20:15:16 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.6707 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7981 loss: 1.7981 2022/06/29 23:10:11 - mmengine - INFO - Epoch(train) [30][1720/3757] lr: 1.000e-02 eta: 20:15:12 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.4610 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5995 loss: 1.5995 2022/06/29 23:10:16 - mmengine - INFO - Epoch(train) [30][1740/3757] lr: 1.000e-02 eta: 20:15:06 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 5.3541 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8366 loss: 1.8366 2022/06/29 23:10:21 - mmengine - INFO - Epoch(train) [30][1760/3757] lr: 1.000e-02 eta: 20:14:59 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 5.5809 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0697 loss: 2.0697 2022/06/29 23:10:27 - mmengine - INFO - Epoch(train) [30][1780/3757] lr: 1.000e-02 eta: 20:14:53 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 5.7847 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9123 loss: 1.9123 2022/06/29 23:10:32 - mmengine - INFO - Epoch(train) [30][1800/3757] lr: 1.000e-02 eta: 20:14:47 time: 0.248 data_time: 0.019 memory: 6404 grad_norm: 5.3825 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6901 loss: 1.6901 2022/06/29 23:10:37 - mmengine - INFO - Epoch(train) [30][1820/3757] lr: 1.000e-02 eta: 20:14:41 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 5.9459 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9480 loss: 1.9480 2022/06/29 23:10:43 - mmengine - INFO - Epoch(train) [30][1840/3757] lr: 1.000e-02 eta: 20:14:37 time: 0.306 data_time: 0.008 memory: 6404 grad_norm: 5.7236 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5808 loss: 1.5808 2022/06/29 23:10:49 - mmengine - INFO - Epoch(train) [30][1860/3757] lr: 1.000e-02 eta: 20:14:31 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.6505 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9531 loss: 1.9531 2022/06/29 23:10:54 - mmengine - INFO - Epoch(train) [30][1880/3757] lr: 1.000e-02 eta: 20:14:25 time: 0.270 data_time: 0.016 memory: 6404 grad_norm: 5.4808 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9542 loss: 1.9542 2022/06/29 23:10:59 - mmengine - INFO - Epoch(train) [30][1900/3757] lr: 1.000e-02 eta: 20:14:18 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 6.2273 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1703 loss: 2.1703 2022/06/29 23:11:04 - mmengine - INFO - Epoch(train) [30][1920/3757] lr: 1.000e-02 eta: 20:14:13 time: 0.249 data_time: 0.017 memory: 6404 grad_norm: 5.4110 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0179 loss: 2.0179 2022/06/29 23:11:10 - mmengine - INFO - Epoch(train) [30][1940/3757] lr: 1.000e-02 eta: 20:14:07 time: 0.461 data_time: 0.024 memory: 6404 grad_norm: 6.0308 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9331 loss: 1.9331 2022/06/29 23:11:15 - mmengine - INFO - Epoch(train) [30][1960/3757] lr: 1.000e-02 eta: 20:14:00 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.6600 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9147 loss: 1.9147 2022/06/29 23:11:21 - mmengine - INFO - Epoch(train) [30][1980/3757] lr: 1.000e-02 eta: 20:13:55 time: 0.242 data_time: 0.010 memory: 6404 grad_norm: 5.9864 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2248 loss: 2.2248 2022/06/29 23:11:26 - mmengine - INFO - Epoch(train) [30][2000/3757] lr: 1.000e-02 eta: 20:13:50 time: 0.281 data_time: 0.010 memory: 6404 grad_norm: 5.7746 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9310 loss: 1.9310 2022/06/29 23:11:31 - mmengine - INFO - Epoch(train) [30][2020/3757] lr: 1.000e-02 eta: 20:13:44 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.0405 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6996 loss: 1.6996 2022/06/29 23:11:37 - mmengine - INFO - Epoch(train) [30][2040/3757] lr: 1.000e-02 eta: 20:13:39 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 6.2185 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8134 loss: 1.8134 2022/06/29 23:11:39 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 23:11:42 - mmengine - INFO - Epoch(train) [30][2060/3757] lr: 1.000e-02 eta: 20:13:33 time: 0.250 data_time: 0.018 memory: 6404 grad_norm: 5.2364 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6024 loss: 1.6024 2022/06/29 23:11:49 - mmengine - INFO - Epoch(train) [30][2080/3757] lr: 1.000e-02 eta: 20:13:31 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 5.8745 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5347 loss: 1.5347 2022/06/29 23:11:55 - mmengine - INFO - Epoch(train) [30][2100/3757] lr: 1.000e-02 eta: 20:13:24 time: 0.242 data_time: 0.008 memory: 6404 grad_norm: 5.8443 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6251 loss: 1.6251 2022/06/29 23:12:00 - mmengine - INFO - Epoch(train) [30][2120/3757] lr: 1.000e-02 eta: 20:13:18 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 4.8663 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0486 loss: 2.0486 2022/06/29 23:12:05 - mmengine - INFO - Epoch(train) [30][2140/3757] lr: 1.000e-02 eta: 20:13:12 time: 0.255 data_time: 0.021 memory: 6404 grad_norm: 6.2093 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7871 loss: 1.7871 2022/06/29 23:12:10 - mmengine - INFO - Epoch(train) [30][2160/3757] lr: 1.000e-02 eta: 20:13:06 time: 0.250 data_time: 0.018 memory: 6404 grad_norm: 5.7491 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6226 loss: 1.6226 2022/06/29 23:12:15 - mmengine - INFO - Epoch(train) [30][2180/3757] lr: 1.000e-02 eta: 20:12:59 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 6.2309 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7522 loss: 1.7522 2022/06/29 23:12:20 - mmengine - INFO - Epoch(train) [30][2200/3757] lr: 1.000e-02 eta: 20:12:53 time: 0.253 data_time: 0.019 memory: 6404 grad_norm: 6.1023 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8815 loss: 1.8815 2022/06/29 23:12:25 - mmengine - INFO - Epoch(train) [30][2220/3757] lr: 1.000e-02 eta: 20:12:46 time: 0.251 data_time: 0.014 memory: 6404 grad_norm: 4.7734 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7585 loss: 1.7585 2022/06/29 23:12:31 - mmengine - INFO - Epoch(train) [30][2240/3757] lr: 1.000e-02 eta: 20:12:41 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 5.1529 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0457 loss: 2.0457 2022/06/29 23:12:36 - mmengine - INFO - Epoch(train) [30][2260/3757] lr: 1.000e-02 eta: 20:12:35 time: 0.438 data_time: 0.006 memory: 6404 grad_norm: 5.7543 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7393 loss: 1.7393 2022/06/29 23:12:42 - mmengine - INFO - Epoch(train) [30][2280/3757] lr: 1.000e-02 eta: 20:12:31 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.0154 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3025 loss: 2.3025 2022/06/29 23:12:48 - mmengine - INFO - Epoch(train) [30][2300/3757] lr: 1.000e-02 eta: 20:12:26 time: 0.285 data_time: 0.007 memory: 6404 grad_norm: 6.0065 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5453 loss: 2.5453 2022/06/29 23:12:53 - mmengine - INFO - Epoch(train) [30][2320/3757] lr: 1.000e-02 eta: 20:12:20 time: 0.261 data_time: 0.006 memory: 6404 grad_norm: 5.0373 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1750 loss: 2.1750 2022/06/29 23:12:59 - mmengine - INFO - Epoch(train) [30][2340/3757] lr: 1.000e-02 eta: 20:12:15 time: 0.246 data_time: 0.013 memory: 6404 grad_norm: 4.6236 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7825 loss: 1.7825 2022/06/29 23:13:05 - mmengine - INFO - Epoch(train) [30][2360/3757] lr: 1.000e-02 eta: 20:12:09 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.8134 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1742 loss: 2.1742 2022/06/29 23:13:10 - mmengine - INFO - Epoch(train) [30][2380/3757] lr: 1.000e-02 eta: 20:12:03 time: 0.267 data_time: 0.011 memory: 6404 grad_norm: 6.1150 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8952 loss: 1.8952 2022/06/29 23:13:15 - mmengine - INFO - Epoch(train) [30][2400/3757] lr: 1.000e-02 eta: 20:11:57 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 5.2464 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0187 loss: 2.0187 2022/06/29 23:13:21 - mmengine - INFO - Epoch(train) [30][2420/3757] lr: 1.000e-02 eta: 20:11:52 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.7348 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2308 loss: 2.2308 2022/06/29 23:13:26 - mmengine - INFO - Epoch(train) [30][2440/3757] lr: 1.000e-02 eta: 20:11:45 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 4.9431 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.0383 loss: 2.0383 2022/06/29 23:13:31 - mmengine - INFO - Epoch(train) [30][2460/3757] lr: 1.000e-02 eta: 20:11:40 time: 0.249 data_time: 0.032 memory: 6404 grad_norm: 4.9747 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 1.7118 loss: 1.7118 2022/06/29 23:13:37 - mmengine - INFO - Epoch(train) [30][2480/3757] lr: 1.000e-02 eta: 20:11:34 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.0343 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8984 loss: 1.8984 2022/06/29 23:13:42 - mmengine - INFO - Epoch(train) [30][2500/3757] lr: 1.000e-02 eta: 20:11:28 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 5.0001 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5908 loss: 1.5908 2022/06/29 23:13:48 - mmengine - INFO - Epoch(train) [30][2520/3757] lr: 1.000e-02 eta: 20:11:25 time: 0.256 data_time: 0.056 memory: 6404 grad_norm: 5.1154 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8540 loss: 1.8540 2022/06/29 23:13:54 - mmengine - INFO - Epoch(train) [30][2540/3757] lr: 1.000e-02 eta: 20:11:19 time: 0.247 data_time: 0.016 memory: 6404 grad_norm: 5.0294 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4635 loss: 2.4635 2022/06/29 23:13:59 - mmengine - INFO - Epoch(train) [30][2560/3757] lr: 1.000e-02 eta: 20:11:13 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 5.9519 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2470 loss: 2.2470 2022/06/29 23:14:05 - mmengine - INFO - Epoch(train) [30][2580/3757] lr: 1.000e-02 eta: 20:11:07 time: 0.274 data_time: 0.017 memory: 6404 grad_norm: 5.8252 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7065 loss: 1.7065 2022/06/29 23:14:10 - mmengine - INFO - Epoch(train) [30][2600/3757] lr: 1.000e-02 eta: 20:11:02 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.2941 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9347 loss: 1.9347 2022/06/29 23:14:16 - mmengine - INFO - Epoch(train) [30][2620/3757] lr: 1.000e-02 eta: 20:10:56 time: 0.246 data_time: 0.023 memory: 6404 grad_norm: 5.6718 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8718 loss: 1.8718 2022/06/29 23:14:21 - mmengine - INFO - Epoch(train) [30][2640/3757] lr: 1.000e-02 eta: 20:10:51 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 5.3278 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6515 loss: 1.6515 2022/06/29 23:14:27 - mmengine - INFO - Epoch(train) [30][2660/3757] lr: 1.000e-02 eta: 20:10:46 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 6.1727 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2158 loss: 2.2158 2022/06/29 23:14:32 - mmengine - INFO - Epoch(train) [30][2680/3757] lr: 1.000e-02 eta: 20:10:40 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 5.0785 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9849 loss: 1.9849 2022/06/29 23:14:37 - mmengine - INFO - Epoch(train) [30][2700/3757] lr: 1.000e-02 eta: 20:10:34 time: 0.259 data_time: 0.012 memory: 6404 grad_norm: 5.0828 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7786 loss: 1.7786 2022/06/29 23:14:43 - mmengine - INFO - Epoch(train) [30][2720/3757] lr: 1.000e-02 eta: 20:10:27 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 5.7259 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9189 loss: 1.9189 2022/06/29 23:14:48 - mmengine - INFO - Epoch(train) [30][2740/3757] lr: 1.000e-02 eta: 20:10:23 time: 0.263 data_time: 0.012 memory: 6404 grad_norm: 5.0331 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1395 loss: 2.1395 2022/06/29 23:14:54 - mmengine - INFO - Epoch(train) [30][2760/3757] lr: 1.000e-02 eta: 20:10:16 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 4.9851 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4954 loss: 1.4954 2022/06/29 23:14:59 - mmengine - INFO - Epoch(train) [30][2780/3757] lr: 1.000e-02 eta: 20:10:10 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.5080 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0940 loss: 2.0940 2022/06/29 23:15:04 - mmengine - INFO - Epoch(train) [30][2800/3757] lr: 1.000e-02 eta: 20:10:04 time: 0.370 data_time: 0.013 memory: 6404 grad_norm: 6.4729 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6325 loss: 1.6325 2022/06/29 23:15:10 - mmengine - INFO - Epoch(train) [30][2820/3757] lr: 1.000e-02 eta: 20:09:59 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.5188 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8585 loss: 1.8585 2022/06/29 23:15:17 - mmengine - INFO - Epoch(train) [30][2840/3757] lr: 1.000e-02 eta: 20:09:57 time: 0.357 data_time: 0.007 memory: 6404 grad_norm: 5.3418 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2142 loss: 2.2142 2022/06/29 23:15:22 - mmengine - INFO - Epoch(train) [30][2860/3757] lr: 1.000e-02 eta: 20:09:50 time: 0.269 data_time: 0.013 memory: 6404 grad_norm: 6.5522 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2203 loss: 2.2203 2022/06/29 23:15:27 - mmengine - INFO - Epoch(train) [30][2880/3757] lr: 1.000e-02 eta: 20:09:44 time: 0.259 data_time: 0.005 memory: 6404 grad_norm: 5.7241 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3858 loss: 2.3858 2022/06/29 23:15:32 - mmengine - INFO - Epoch(train) [30][2900/3757] lr: 1.000e-02 eta: 20:09:38 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 6.2555 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6337 loss: 1.6337 2022/06/29 23:15:37 - mmengine - INFO - Epoch(train) [30][2920/3757] lr: 1.000e-02 eta: 20:09:32 time: 0.263 data_time: 0.016 memory: 6404 grad_norm: 5.9581 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9309 loss: 1.9309 2022/06/29 23:15:43 - mmengine - INFO - Epoch(train) [30][2940/3757] lr: 1.000e-02 eta: 20:09:25 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 5.7010 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0089 loss: 2.0089 2022/06/29 23:15:48 - mmengine - INFO - Epoch(train) [30][2960/3757] lr: 1.000e-02 eta: 20:09:20 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 5.5289 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9187 loss: 1.9187 2022/06/29 23:15:53 - mmengine - INFO - Epoch(train) [30][2980/3757] lr: 1.000e-02 eta: 20:09:14 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.5265 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5737 loss: 1.5737 2022/06/29 23:15:59 - mmengine - INFO - Epoch(train) [30][3000/3757] lr: 1.000e-02 eta: 20:09:08 time: 0.270 data_time: 0.014 memory: 6404 grad_norm: 5.2371 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8551 loss: 1.8551 2022/06/29 23:16:05 - mmengine - INFO - Epoch(train) [30][3020/3757] lr: 1.000e-02 eta: 20:09:05 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.7061 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7938 loss: 1.7938 2022/06/29 23:16:10 - mmengine - INFO - Epoch(train) [30][3040/3757] lr: 1.000e-02 eta: 20:08:59 time: 0.250 data_time: 0.016 memory: 6404 grad_norm: 5.9192 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0209 loss: 2.0209 2022/06/29 23:16:12 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 23:16:16 - mmengine - INFO - Epoch(train) [30][3060/3757] lr: 1.000e-02 eta: 20:08:53 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 6.0881 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1865 loss: 2.1865 2022/06/29 23:16:23 - mmengine - INFO - Epoch(train) [30][3080/3757] lr: 1.000e-02 eta: 20:08:50 time: 0.272 data_time: 0.010 memory: 6404 grad_norm: 6.5214 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9979 loss: 1.9979 2022/06/29 23:16:28 - mmengine - INFO - Epoch(train) [30][3100/3757] lr: 1.000e-02 eta: 20:08:44 time: 0.287 data_time: 0.013 memory: 6404 grad_norm: 5.7277 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0796 loss: 2.0796 2022/06/29 23:16:33 - mmengine - INFO - Epoch(train) [30][3120/3757] lr: 1.000e-02 eta: 20:08:37 time: 0.261 data_time: 0.015 memory: 6404 grad_norm: 5.9234 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6606 loss: 1.6606 2022/06/29 23:16:38 - mmengine - INFO - Epoch(train) [30][3140/3757] lr: 1.000e-02 eta: 20:08:31 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 6.0895 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7662 loss: 1.7662 2022/06/29 23:16:43 - mmengine - INFO - Epoch(train) [30][3160/3757] lr: 1.000e-02 eta: 20:08:25 time: 0.253 data_time: 0.034 memory: 6404 grad_norm: 6.0993 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9735 loss: 1.9735 2022/06/29 23:16:49 - mmengine - INFO - Epoch(train) [30][3180/3757] lr: 1.000e-02 eta: 20:08:19 time: 0.260 data_time: 0.006 memory: 6404 grad_norm: 6.6038 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6065 loss: 1.6065 2022/06/29 23:16:55 - mmengine - INFO - Epoch(train) [30][3200/3757] lr: 1.000e-02 eta: 20:08:15 time: 0.278 data_time: 0.011 memory: 6404 grad_norm: 6.1912 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6476 loss: 1.6476 2022/06/29 23:17:02 - mmengine - INFO - Epoch(train) [30][3220/3757] lr: 1.000e-02 eta: 20:08:13 time: 0.289 data_time: 0.007 memory: 6404 grad_norm: 6.0884 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8923 loss: 1.8923 2022/06/29 23:17:07 - mmengine - INFO - Epoch(train) [30][3240/3757] lr: 1.000e-02 eta: 20:08:06 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 5.5443 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9094 loss: 1.9094 2022/06/29 23:17:12 - mmengine - INFO - Epoch(train) [30][3260/3757] lr: 1.000e-02 eta: 20:08:00 time: 0.255 data_time: 0.017 memory: 6404 grad_norm: 5.0544 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7843 loss: 1.7843 2022/06/29 23:17:17 - mmengine - INFO - Epoch(train) [30][3280/3757] lr: 1.000e-02 eta: 20:07:54 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 6.3253 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1373 loss: 2.1373 2022/06/29 23:17:22 - mmengine - INFO - Epoch(train) [30][3300/3757] lr: 1.000e-02 eta: 20:07:48 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 5.6873 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0928 loss: 2.0928 2022/06/29 23:17:28 - mmengine - INFO - Epoch(train) [30][3320/3757] lr: 1.000e-02 eta: 20:07:43 time: 0.254 data_time: 0.016 memory: 6404 grad_norm: 5.6526 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6672 loss: 1.6672 2022/06/29 23:17:33 - mmengine - INFO - Epoch(train) [30][3340/3757] lr: 1.000e-02 eta: 20:07:37 time: 0.254 data_time: 0.039 memory: 6404 grad_norm: 5.0297 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8476 loss: 1.8476 2022/06/29 23:17:40 - mmengine - INFO - Epoch(train) [30][3360/3757] lr: 1.000e-02 eta: 20:07:33 time: 0.279 data_time: 0.008 memory: 6404 grad_norm: 4.7711 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3590 loss: 2.3590 2022/06/29 23:17:45 - mmengine - INFO - Epoch(train) [30][3380/3757] lr: 1.000e-02 eta: 20:07:27 time: 0.261 data_time: 0.006 memory: 6404 grad_norm: 6.9828 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0709 loss: 2.0709 2022/06/29 23:17:50 - mmengine - INFO - Epoch(train) [30][3400/3757] lr: 1.000e-02 eta: 20:07:20 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 5.5218 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8309 loss: 1.8309 2022/06/29 23:17:55 - mmengine - INFO - Epoch(train) [30][3420/3757] lr: 1.000e-02 eta: 20:07:14 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.2306 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2476 loss: 2.2476 2022/06/29 23:18:01 - mmengine - INFO - Epoch(train) [30][3440/3757] lr: 1.000e-02 eta: 20:07:08 time: 0.263 data_time: 0.012 memory: 6404 grad_norm: 5.7142 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9055 loss: 1.9055 2022/06/29 23:18:06 - mmengine - INFO - Epoch(train) [30][3460/3757] lr: 1.000e-02 eta: 20:07:03 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.8180 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0715 loss: 2.0715 2022/06/29 23:18:11 - mmengine - INFO - Epoch(train) [30][3480/3757] lr: 1.000e-02 eta: 20:06:57 time: 0.240 data_time: 0.011 memory: 6404 grad_norm: 6.5916 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1953 loss: 2.1953 2022/06/29 23:18:17 - mmengine - INFO - Epoch(train) [30][3500/3757] lr: 1.000e-02 eta: 20:06:51 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.1536 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3016 loss: 2.3016 2022/06/29 23:18:23 - mmengine - INFO - Epoch(train) [30][3520/3757] lr: 1.000e-02 eta: 20:06:47 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.2087 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6594 loss: 1.6594 2022/06/29 23:18:29 - mmengine - INFO - Epoch(train) [30][3540/3757] lr: 1.000e-02 eta: 20:06:42 time: 0.611 data_time: 0.011 memory: 6404 grad_norm: 6.4441 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8107 loss: 1.8107 2022/06/29 23:18:34 - mmengine - INFO - Epoch(train) [30][3560/3757] lr: 1.000e-02 eta: 20:06:37 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 5.6300 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9447 loss: 1.9447 2022/06/29 23:18:39 - mmengine - INFO - Epoch(train) [30][3580/3757] lr: 1.000e-02 eta: 20:06:30 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 5.6535 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6852 loss: 1.6852 2022/06/29 23:18:45 - mmengine - INFO - Epoch(train) [30][3600/3757] lr: 1.000e-02 eta: 20:06:25 time: 0.528 data_time: 0.010 memory: 6404 grad_norm: 5.9815 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7071 loss: 1.7071 2022/06/29 23:18:51 - mmengine - INFO - Epoch(train) [30][3620/3757] lr: 1.000e-02 eta: 20:06:22 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.8533 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9759 loss: 1.9759 2022/06/29 23:18:56 - mmengine - INFO - Epoch(train) [30][3640/3757] lr: 1.000e-02 eta: 20:06:15 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 4.9156 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0373 loss: 2.0373 2022/06/29 23:19:02 - mmengine - INFO - Epoch(train) [30][3660/3757] lr: 1.000e-02 eta: 20:06:09 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.1841 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0145 loss: 2.0145 2022/06/29 23:19:07 - mmengine - INFO - Epoch(train) [30][3680/3757] lr: 1.000e-02 eta: 20:06:03 time: 0.376 data_time: 0.014 memory: 6404 grad_norm: 6.5608 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5677 loss: 1.5677 2022/06/29 23:19:12 - mmengine - INFO - Epoch(train) [30][3700/3757] lr: 1.000e-02 eta: 20:05:57 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 4.8011 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8497 loss: 1.8497 2022/06/29 23:19:17 - mmengine - INFO - Epoch(train) [30][3720/3757] lr: 1.000e-02 eta: 20:05:50 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 4.7451 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0415 loss: 2.0415 2022/06/29 23:19:23 - mmengine - INFO - Epoch(train) [30][3740/3757] lr: 1.000e-02 eta: 20:05:45 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 5.1868 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1166 loss: 2.1166 2022/06/29 23:19:27 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 23:19:27 - mmengine - INFO - Saving checkpoint at 30 epochs 2022/06/29 23:19:38 - mmengine - INFO - Epoch(val) [30][20/310] eta: 0:01:40 time: 0.084 data_time: 0.007 memory: 6404 2022/06/29 23:19:44 - mmengine - INFO - Epoch(val) [30][40/310] eta: 0:01:12 time: 0.084 data_time: 0.006 memory: 1479 2022/06/29 23:19:48 - mmengine - INFO - Epoch(val) [30][60/310] eta: 0:00:30 time: 0.088 data_time: 0.005 memory: 1479 2022/06/29 23:19:54 - mmengine - INFO - Epoch(val) [30][80/310] eta: 0:01:12 time: 0.096 data_time: 0.008 memory: 1479 2022/06/29 23:20:00 - mmengine - INFO - Epoch(val) [30][100/310] eta: 0:01:06 time: 1.191 data_time: 1.117 memory: 1479 2022/06/29 23:20:04 - mmengine - INFO - Epoch(val) [30][120/310] eta: 0:00:37 time: 0.080 data_time: 0.007 memory: 1479 2022/06/29 23:20:10 - mmengine - INFO - Epoch(val) [30][140/310] eta: 0:00:51 time: 0.086 data_time: 0.008 memory: 1479 2022/06/29 23:20:16 - mmengine - INFO - Epoch(val) [30][160/310] eta: 0:00:42 time: 1.031 data_time: 0.944 memory: 1479 2022/06/29 23:20:20 - mmengine - INFO - Epoch(val) [30][180/310] eta: 0:00:27 time: 0.079 data_time: 0.006 memory: 1479 2022/06/29 23:20:26 - mmengine - INFO - Epoch(val) [30][200/310] eta: 0:00:32 time: 0.092 data_time: 0.010 memory: 1479 2022/06/29 23:20:31 - mmengine - INFO - Epoch(val) [30][220/310] eta: 0:00:25 time: 0.448 data_time: 0.363 memory: 1479 2022/06/29 23:20:35 - mmengine - INFO - Epoch(val) [30][240/310] eta: 0:00:15 time: 0.082 data_time: 0.005 memory: 1479 2022/06/29 23:20:41 - mmengine - INFO - Epoch(val) [30][260/310] eta: 0:00:15 time: 0.089 data_time: 0.007 memory: 1479 2022/06/29 23:20:46 - mmengine - INFO - Epoch(val) [30][280/310] eta: 0:00:07 time: 0.605 data_time: 0.519 memory: 1479 2022/06/29 23:20:49 - mmengine - INFO - Epoch(val) [30][300/310] eta: 0:00:01 time: 0.074 data_time: 0.005 memory: 1479 2022/06/29 23:20:51 - mmengine - INFO - Epoch(val) [30][310/310] acc/top1: 0.5752 acc/top5: 0.8103 acc/mean1: 0.5751 2022/06/29 23:21:00 - mmengine - INFO - Epoch(train) [31][20/3757] lr: 1.000e-02 eta: 20:05:37 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 6.6634 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0895 loss: 2.0895 2022/06/29 23:21:05 - mmengine - INFO - Epoch(train) [31][40/3757] lr: 1.000e-02 eta: 20:05:31 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 4.8809 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6569 loss: 1.6569 2022/06/29 23:21:10 - mmengine - INFO - Epoch(train) [31][60/3757] lr: 1.000e-02 eta: 20:05:25 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.1648 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9145 loss: 1.9145 2022/06/29 23:21:16 - mmengine - INFO - Epoch(train) [31][80/3757] lr: 1.000e-02 eta: 20:05:20 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 5.3168 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2016 loss: 2.2016 2022/06/29 23:21:22 - mmengine - INFO - Epoch(train) [31][100/3757] lr: 1.000e-02 eta: 20:05:15 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.8277 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8033 loss: 1.8033 2022/06/29 23:21:27 - mmengine - INFO - Epoch(train) [31][120/3757] lr: 1.000e-02 eta: 20:05:09 time: 0.243 data_time: 0.006 memory: 6404 grad_norm: 5.5767 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5324 loss: 1.5324 2022/06/29 23:21:33 - mmengine - INFO - Epoch(train) [31][140/3757] lr: 1.000e-02 eta: 20:05:04 time: 0.252 data_time: 0.017 memory: 6404 grad_norm: 6.1745 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7810 loss: 1.7810 2022/06/29 23:21:38 - mmengine - INFO - Epoch(train) [31][160/3757] lr: 1.000e-02 eta: 20:04:59 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 5.8962 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5861 loss: 1.5861 2022/06/29 23:21:44 - mmengine - INFO - Epoch(train) [31][180/3757] lr: 1.000e-02 eta: 20:04:53 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 6.3608 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6345 loss: 1.6345 2022/06/29 23:21:49 - mmengine - INFO - Epoch(train) [31][200/3757] lr: 1.000e-02 eta: 20:04:48 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 6.3480 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7986 loss: 1.7986 2022/06/29 23:21:55 - mmengine - INFO - Epoch(train) [31][220/3757] lr: 1.000e-02 eta: 20:04:42 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.1017 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5168 loss: 1.5168 2022/06/29 23:22:00 - mmengine - INFO - Epoch(train) [31][240/3757] lr: 1.000e-02 eta: 20:04:37 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.0712 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0777 loss: 2.0777 2022/06/29 23:22:06 - mmengine - INFO - Epoch(train) [31][260/3757] lr: 1.000e-02 eta: 20:04:32 time: 0.245 data_time: 0.013 memory: 6404 grad_norm: 5.7644 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8866 loss: 1.8866 2022/06/29 23:22:11 - mmengine - INFO - Epoch(train) [31][280/3757] lr: 1.000e-02 eta: 20:04:26 time: 0.238 data_time: 0.009 memory: 6404 grad_norm: 6.5951 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9377 loss: 1.9377 2022/06/29 23:22:14 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 23:22:16 - mmengine - INFO - Epoch(train) [31][300/3757] lr: 1.000e-02 eta: 20:04:19 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.1252 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8600 loss: 1.8600 2022/06/29 23:22:22 - mmengine - INFO - Epoch(train) [31][320/3757] lr: 1.000e-02 eta: 20:04:13 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 5.7727 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0625 loss: 2.0625 2022/06/29 23:22:27 - mmengine - INFO - Epoch(train) [31][340/3757] lr: 1.000e-02 eta: 20:04:08 time: 0.265 data_time: 0.009 memory: 6404 grad_norm: 5.6924 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7456 loss: 1.7456 2022/06/29 23:22:33 - mmengine - INFO - Epoch(train) [31][360/3757] lr: 1.000e-02 eta: 20:04:02 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.4251 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9475 loss: 1.9475 2022/06/29 23:22:38 - mmengine - INFO - Epoch(train) [31][380/3757] lr: 1.000e-02 eta: 20:03:57 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 5.2300 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0631 loss: 2.0631 2022/06/29 23:22:44 - mmengine - INFO - Epoch(train) [31][400/3757] lr: 1.000e-02 eta: 20:03:51 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 6.7940 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9610 loss: 1.9610 2022/06/29 23:22:49 - mmengine - INFO - Epoch(train) [31][420/3757] lr: 1.000e-02 eta: 20:03:46 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 6.1848 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1019 loss: 2.1019 2022/06/29 23:22:55 - mmengine - INFO - Epoch(train) [31][440/3757] lr: 1.000e-02 eta: 20:03:40 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 5.9805 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3355 loss: 2.3355 2022/06/29 23:23:00 - mmengine - INFO - Epoch(train) [31][460/3757] lr: 1.000e-02 eta: 20:03:35 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.2753 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0032 loss: 2.0032 2022/06/29 23:23:06 - mmengine - INFO - Epoch(train) [31][480/3757] lr: 1.000e-02 eta: 20:03:29 time: 0.254 data_time: 0.016 memory: 6404 grad_norm: 6.5217 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9820 loss: 1.9820 2022/06/29 23:23:11 - mmengine - INFO - Epoch(train) [31][500/3757] lr: 1.000e-02 eta: 20:03:23 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.4234 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9638 loss: 1.9638 2022/06/29 23:23:17 - mmengine - INFO - Epoch(train) [31][520/3757] lr: 1.000e-02 eta: 20:03:18 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 5.8154 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9821 loss: 1.9821 2022/06/29 23:23:22 - mmengine - INFO - Epoch(train) [31][540/3757] lr: 1.000e-02 eta: 20:03:12 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 5.9394 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6689 loss: 1.6689 2022/06/29 23:23:28 - mmengine - INFO - Epoch(train) [31][560/3757] lr: 1.000e-02 eta: 20:03:07 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 4.8437 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8093 loss: 1.8093 2022/06/29 23:23:33 - mmengine - INFO - Epoch(train) [31][580/3757] lr: 1.000e-02 eta: 20:03:01 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 6.5826 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9940 loss: 1.9940 2022/06/29 23:23:39 - mmengine - INFO - Epoch(train) [31][600/3757] lr: 1.000e-02 eta: 20:02:55 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 6.4464 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8409 loss: 1.8409 2022/06/29 23:23:44 - mmengine - INFO - Epoch(train) [31][620/3757] lr: 1.000e-02 eta: 20:02:50 time: 0.246 data_time: 0.014 memory: 6404 grad_norm: 5.7118 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4731 loss: 1.4731 2022/06/29 23:23:49 - mmengine - INFO - Epoch(train) [31][640/3757] lr: 1.000e-02 eta: 20:02:44 time: 0.249 data_time: 0.014 memory: 6404 grad_norm: 5.7638 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5739 loss: 1.5739 2022/06/29 23:23:54 - mmengine - INFO - Epoch(train) [31][660/3757] lr: 1.000e-02 eta: 20:02:37 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 5.8723 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3114 loss: 2.3114 2022/06/29 23:24:00 - mmengine - INFO - Epoch(train) [31][680/3757] lr: 1.000e-02 eta: 20:02:32 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.8626 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.7854 loss: 1.7854 2022/06/29 23:24:05 - mmengine - INFO - Epoch(train) [31][700/3757] lr: 1.000e-02 eta: 20:02:26 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.3447 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9294 loss: 1.9294 2022/06/29 23:24:11 - mmengine - INFO - Epoch(train) [31][720/3757] lr: 1.000e-02 eta: 20:02:22 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 6.7774 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9634 loss: 1.9634 2022/06/29 23:24:16 - mmengine - INFO - Epoch(train) [31][740/3757] lr: 1.000e-02 eta: 20:02:15 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 4.8882 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5152 loss: 2.5152 2022/06/29 23:24:22 - mmengine - INFO - Epoch(train) [31][760/3757] lr: 1.000e-02 eta: 20:02:09 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 5.6050 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7187 loss: 1.7187 2022/06/29 23:24:27 - mmengine - INFO - Epoch(train) [31][780/3757] lr: 1.000e-02 eta: 20:02:03 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.8969 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4794 loss: 1.4794 2022/06/29 23:24:33 - mmengine - INFO - Epoch(train) [31][800/3757] lr: 1.000e-02 eta: 20:01:58 time: 0.245 data_time: 0.009 memory: 6404 grad_norm: 6.2051 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0898 loss: 2.0898 2022/06/29 23:24:38 - mmengine - INFO - Epoch(train) [31][820/3757] lr: 1.000e-02 eta: 20:01:53 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 5.5131 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6856 loss: 1.6856 2022/06/29 23:24:44 - mmengine - INFO - Epoch(train) [31][840/3757] lr: 1.000e-02 eta: 20:01:47 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 5.8888 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9588 loss: 1.9588 2022/06/29 23:24:49 - mmengine - INFO - Epoch(train) [31][860/3757] lr: 1.000e-02 eta: 20:01:42 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 5.5029 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9907 loss: 1.9907 2022/06/29 23:24:55 - mmengine - INFO - Epoch(train) [31][880/3757] lr: 1.000e-02 eta: 20:01:37 time: 0.276 data_time: 0.009 memory: 6404 grad_norm: 5.6807 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7699 loss: 1.7699 2022/06/29 23:25:00 - mmengine - INFO - Epoch(train) [31][900/3757] lr: 1.000e-02 eta: 20:01:30 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 4.8429 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1025 loss: 2.1025 2022/06/29 23:25:06 - mmengine - INFO - Epoch(train) [31][920/3757] lr: 1.000e-02 eta: 20:01:26 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.9481 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0098 loss: 2.0098 2022/06/29 23:25:11 - mmengine - INFO - Epoch(train) [31][940/3757] lr: 1.000e-02 eta: 20:01:20 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.5401 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7693 loss: 1.7693 2022/06/29 23:25:16 - mmengine - INFO - Epoch(train) [31][960/3757] lr: 1.000e-02 eta: 20:01:14 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.7201 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7440 loss: 1.7440 2022/06/29 23:25:22 - mmengine - INFO - Epoch(train) [31][980/3757] lr: 1.000e-02 eta: 20:01:07 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 6.0586 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8946 loss: 1.8946 2022/06/29 23:25:27 - mmengine - INFO - Epoch(train) [31][1000/3757] lr: 1.000e-02 eta: 20:01:02 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 4.9465 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6223 loss: 1.6223 2022/06/29 23:25:33 - mmengine - INFO - Epoch(train) [31][1020/3757] lr: 1.000e-02 eta: 20:00:56 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.2854 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5390 loss: 1.5390 2022/06/29 23:25:38 - mmengine - INFO - Epoch(train) [31][1040/3757] lr: 1.000e-02 eta: 20:00:51 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.1815 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7111 loss: 1.7111 2022/06/29 23:25:44 - mmengine - INFO - Epoch(train) [31][1060/3757] lr: 1.000e-02 eta: 20:00:45 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.7896 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8378 loss: 1.8378 2022/06/29 23:25:49 - mmengine - INFO - Epoch(train) [31][1080/3757] lr: 1.000e-02 eta: 20:00:39 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.3215 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8472 loss: 1.8472 2022/06/29 23:25:54 - mmengine - INFO - Epoch(train) [31][1100/3757] lr: 1.000e-02 eta: 20:00:33 time: 0.274 data_time: 0.006 memory: 6404 grad_norm: 6.5445 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0509 loss: 2.0509 2022/06/29 23:26:00 - mmengine - INFO - Epoch(train) [31][1120/3757] lr: 1.000e-02 eta: 20:00:28 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 5.8449 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8733 loss: 1.8733 2022/06/29 23:26:06 - mmengine - INFO - Epoch(train) [31][1140/3757] lr: 1.000e-02 eta: 20:00:23 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 5.6911 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7719 loss: 1.7719 2022/06/29 23:26:11 - mmengine - INFO - Epoch(train) [31][1160/3757] lr: 1.000e-02 eta: 20:00:18 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.5564 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9771 loss: 1.9771 2022/06/29 23:26:17 - mmengine - INFO - Epoch(train) [31][1180/3757] lr: 1.000e-02 eta: 20:00:12 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.1193 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7772 loss: 1.7772 2022/06/29 23:26:22 - mmengine - INFO - Epoch(train) [31][1200/3757] lr: 1.000e-02 eta: 20:00:07 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 5.2866 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0303 loss: 2.0303 2022/06/29 23:26:28 - mmengine - INFO - Epoch(train) [31][1220/3757] lr: 1.000e-02 eta: 20:00:01 time: 0.288 data_time: 0.014 memory: 6404 grad_norm: 5.5828 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.6291 loss: 1.6291 2022/06/29 23:26:33 - mmengine - INFO - Epoch(train) [31][1240/3757] lr: 1.000e-02 eta: 19:59:56 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 5.4692 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7516 loss: 1.7516 2022/06/29 23:26:39 - mmengine - INFO - Epoch(train) [31][1260/3757] lr: 1.000e-02 eta: 19:59:52 time: 0.302 data_time: 0.008 memory: 6404 grad_norm: 5.5788 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0764 loss: 2.0764 2022/06/29 23:26:44 - mmengine - INFO - Epoch(train) [31][1280/3757] lr: 1.000e-02 eta: 19:59:45 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 5.6419 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8404 loss: 1.8404 2022/06/29 23:26:47 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 23:26:50 - mmengine - INFO - Epoch(train) [31][1300/3757] lr: 1.000e-02 eta: 19:59:40 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 5.6163 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0388 loss: 2.0388 2022/06/29 23:26:56 - mmengine - INFO - Epoch(train) [31][1320/3757] lr: 1.000e-02 eta: 19:59:35 time: 0.282 data_time: 0.008 memory: 6404 grad_norm: 6.0697 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9039 loss: 1.9039 2022/06/29 23:27:01 - mmengine - INFO - Epoch(train) [31][1340/3757] lr: 1.000e-02 eta: 19:59:29 time: 0.260 data_time: 0.015 memory: 6404 grad_norm: 5.0496 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9828 loss: 1.9828 2022/06/29 23:27:07 - mmengine - INFO - Epoch(train) [31][1360/3757] lr: 1.000e-02 eta: 19:59:24 time: 0.250 data_time: 0.018 memory: 6404 grad_norm: 5.7190 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5553 loss: 1.5553 2022/06/29 23:27:12 - mmengine - INFO - Epoch(train) [31][1380/3757] lr: 1.000e-02 eta: 19:59:17 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.2822 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6144 loss: 1.6144 2022/06/29 23:27:17 - mmengine - INFO - Epoch(train) [31][1400/3757] lr: 1.000e-02 eta: 19:59:12 time: 0.275 data_time: 0.007 memory: 6404 grad_norm: 6.6253 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0353 loss: 2.0353 2022/06/29 23:27:23 - mmengine - INFO - Epoch(train) [31][1420/3757] lr: 1.000e-02 eta: 19:59:06 time: 0.242 data_time: 0.019 memory: 6404 grad_norm: 6.1120 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4905 loss: 2.4905 2022/06/29 23:27:29 - mmengine - INFO - Epoch(train) [31][1440/3757] lr: 1.000e-02 eta: 19:59:02 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.0722 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0096 loss: 2.0096 2022/06/29 23:27:34 - mmengine - INFO - Epoch(train) [31][1460/3757] lr: 1.000e-02 eta: 19:58:56 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 5.6525 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7881 loss: 1.7881 2022/06/29 23:27:39 - mmengine - INFO - Epoch(train) [31][1480/3757] lr: 1.000e-02 eta: 19:58:50 time: 0.257 data_time: 0.065 memory: 6404 grad_norm: 5.6152 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9765 loss: 1.9765 2022/06/29 23:27:46 - mmengine - INFO - Epoch(train) [31][1500/3757] lr: 1.000e-02 eta: 19:58:46 time: 0.895 data_time: 0.007 memory: 6404 grad_norm: 5.8283 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2350 loss: 2.2350 2022/06/29 23:27:51 - mmengine - INFO - Epoch(train) [31][1520/3757] lr: 1.000e-02 eta: 19:58:40 time: 0.277 data_time: 0.007 memory: 6404 grad_norm: 5.5501 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9549 loss: 1.9549 2022/06/29 23:27:56 - mmengine - INFO - Epoch(train) [31][1540/3757] lr: 1.000e-02 eta: 19:58:34 time: 0.254 data_time: 0.023 memory: 6404 grad_norm: 5.1263 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5615 loss: 1.5615 2022/06/29 23:28:02 - mmengine - INFO - Epoch(train) [31][1560/3757] lr: 1.000e-02 eta: 19:58:29 time: 0.858 data_time: 0.008 memory: 6404 grad_norm: 5.8715 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2902 loss: 2.2902 2022/06/29 23:28:07 - mmengine - INFO - Epoch(train) [31][1580/3757] lr: 1.000e-02 eta: 19:58:23 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 5.3077 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8941 loss: 1.8941 2022/06/29 23:28:13 - mmengine - INFO - Epoch(train) [31][1600/3757] lr: 1.000e-02 eta: 19:58:18 time: 0.259 data_time: 0.033 memory: 6404 grad_norm: 5.8969 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0535 loss: 2.0535 2022/06/29 23:28:18 - mmengine - INFO - Epoch(train) [31][1620/3757] lr: 1.000e-02 eta: 19:58:12 time: 0.339 data_time: 0.008 memory: 6404 grad_norm: 6.2450 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.9714 loss: 1.9714 2022/06/29 23:28:24 - mmengine - INFO - Epoch(train) [31][1640/3757] lr: 1.000e-02 eta: 19:58:06 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.8840 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5756 loss: 1.5756 2022/06/29 23:28:29 - mmengine - INFO - Epoch(train) [31][1660/3757] lr: 1.000e-02 eta: 19:58:01 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 6.5809 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6529 loss: 1.6529 2022/06/29 23:28:35 - mmengine - INFO - Epoch(train) [31][1680/3757] lr: 1.000e-02 eta: 19:57:55 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 6.1258 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9380 loss: 1.9380 2022/06/29 23:28:40 - mmengine - INFO - Epoch(train) [31][1700/3757] lr: 1.000e-02 eta: 19:57:50 time: 0.359 data_time: 0.007 memory: 6404 grad_norm: 5.7258 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9908 loss: 1.9908 2022/06/29 23:28:46 - mmengine - INFO - Epoch(train) [31][1720/3757] lr: 1.000e-02 eta: 19:57:45 time: 0.646 data_time: 0.027 memory: 6404 grad_norm: 5.9848 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8037 loss: 1.8037 2022/06/29 23:28:52 - mmengine - INFO - Epoch(train) [31][1740/3757] lr: 1.000e-02 eta: 19:57:41 time: 0.272 data_time: 0.007 memory: 6404 grad_norm: 5.7219 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6632 loss: 1.6632 2022/06/29 23:28:57 - mmengine - INFO - Epoch(train) [31][1760/3757] lr: 1.000e-02 eta: 19:57:34 time: 0.289 data_time: 0.006 memory: 6404 grad_norm: 6.0305 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0859 loss: 2.0859 2022/06/29 23:29:03 - mmengine - INFO - Epoch(train) [31][1780/3757] lr: 1.000e-02 eta: 19:57:28 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 6.5730 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8746 loss: 1.8746 2022/06/29 23:29:08 - mmengine - INFO - Epoch(train) [31][1800/3757] lr: 1.000e-02 eta: 19:57:22 time: 0.275 data_time: 0.008 memory: 6404 grad_norm: 6.0200 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4366 loss: 2.4366 2022/06/29 23:29:13 - mmengine - INFO - Epoch(train) [31][1820/3757] lr: 1.000e-02 eta: 19:57:16 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.8621 top1_acc: 0.1250 top5_acc: 1.0000 loss_cls: 2.0642 loss: 2.0642 2022/06/29 23:29:18 - mmengine - INFO - Epoch(train) [31][1840/3757] lr: 1.000e-02 eta: 19:57:09 time: 0.292 data_time: 0.015 memory: 6404 grad_norm: 5.3145 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6511 loss: 1.6511 2022/06/29 23:29:24 - mmengine - INFO - Epoch(train) [31][1860/3757] lr: 1.000e-02 eta: 19:57:05 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 5.5642 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9177 loss: 1.9177 2022/06/29 23:29:30 - mmengine - INFO - Epoch(train) [31][1880/3757] lr: 1.000e-02 eta: 19:57:00 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.7180 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3131 loss: 2.3131 2022/06/29 23:29:35 - mmengine - INFO - Epoch(train) [31][1900/3757] lr: 1.000e-02 eta: 19:56:55 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.0911 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8381 loss: 1.8381 2022/06/29 23:29:41 - mmengine - INFO - Epoch(train) [31][1920/3757] lr: 1.000e-02 eta: 19:56:49 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 5.6588 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8500 loss: 1.8500 2022/06/29 23:29:47 - mmengine - INFO - Epoch(train) [31][1940/3757] lr: 1.000e-02 eta: 19:56:44 time: 0.274 data_time: 0.006 memory: 6404 grad_norm: 6.0089 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1170 loss: 2.1170 2022/06/29 23:29:52 - mmengine - INFO - Epoch(train) [31][1960/3757] lr: 1.000e-02 eta: 19:56:39 time: 0.245 data_time: 0.009 memory: 6404 grad_norm: 5.4721 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7576 loss: 1.7576 2022/06/29 23:29:58 - mmengine - INFO - Epoch(train) [31][1980/3757] lr: 1.000e-02 eta: 19:56:34 time: 0.289 data_time: 0.007 memory: 6404 grad_norm: 5.8032 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7247 loss: 1.7247 2022/06/29 23:30:04 - mmengine - INFO - Epoch(train) [31][2000/3757] lr: 1.000e-02 eta: 19:56:29 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 4.9759 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8249 loss: 1.8249 2022/06/29 23:30:09 - mmengine - INFO - Epoch(train) [31][2020/3757] lr: 1.000e-02 eta: 19:56:23 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.0361 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9716 loss: 1.9716 2022/06/29 23:30:14 - mmengine - INFO - Epoch(train) [31][2040/3757] lr: 1.000e-02 eta: 19:56:17 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.4779 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0573 loss: 2.0573 2022/06/29 23:30:20 - mmengine - INFO - Epoch(train) [31][2060/3757] lr: 1.000e-02 eta: 19:56:12 time: 0.258 data_time: 0.015 memory: 6404 grad_norm: 5.1287 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4108 loss: 2.4108 2022/06/29 23:30:25 - mmengine - INFO - Epoch(train) [31][2080/3757] lr: 1.000e-02 eta: 19:56:06 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.8555 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0399 loss: 2.0399 2022/06/29 23:30:31 - mmengine - INFO - Epoch(train) [31][2100/3757] lr: 1.000e-02 eta: 19:56:00 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.2241 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8961 loss: 1.8961 2022/06/29 23:30:36 - mmengine - INFO - Epoch(train) [31][2120/3757] lr: 1.000e-02 eta: 19:55:55 time: 0.240 data_time: 0.011 memory: 6404 grad_norm: 5.6656 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1186 loss: 2.1186 2022/06/29 23:30:42 - mmengine - INFO - Epoch(train) [31][2140/3757] lr: 1.000e-02 eta: 19:55:49 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.5476 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4463 loss: 1.4463 2022/06/29 23:30:47 - mmengine - INFO - Epoch(train) [31][2160/3757] lr: 1.000e-02 eta: 19:55:43 time: 0.277 data_time: 0.007 memory: 6404 grad_norm: 5.7343 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4474 loss: 2.4474 2022/06/29 23:30:53 - mmengine - INFO - Epoch(train) [31][2180/3757] lr: 1.000e-02 eta: 19:55:38 time: 0.267 data_time: 0.010 memory: 6404 grad_norm: 5.2462 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9844 loss: 1.9844 2022/06/29 23:30:58 - mmengine - INFO - Epoch(train) [31][2200/3757] lr: 1.000e-02 eta: 19:55:33 time: 0.263 data_time: 0.008 memory: 6404 grad_norm: 5.9001 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0810 loss: 2.0810 2022/06/29 23:31:04 - mmengine - INFO - Epoch(train) [31][2220/3757] lr: 1.000e-02 eta: 19:55:27 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 5.3229 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1208 loss: 2.1208 2022/06/29 23:31:10 - mmengine - INFO - Epoch(train) [31][2240/3757] lr: 1.000e-02 eta: 19:55:23 time: 0.260 data_time: 0.013 memory: 6404 grad_norm: 5.1409 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1127 loss: 2.1127 2022/06/29 23:31:15 - mmengine - INFO - Epoch(train) [31][2260/3757] lr: 1.000e-02 eta: 19:55:17 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.3433 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9146 loss: 1.9146 2022/06/29 23:31:20 - mmengine - INFO - Epoch(train) [31][2280/3757] lr: 1.000e-02 eta: 19:55:11 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.9534 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4177 loss: 2.4177 2022/06/29 23:31:23 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 23:31:26 - mmengine - INFO - Epoch(train) [31][2300/3757] lr: 1.000e-02 eta: 19:55:06 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 5.8290 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0901 loss: 2.0901 2022/06/29 23:31:31 - mmengine - INFO - Epoch(train) [31][2320/3757] lr: 1.000e-02 eta: 19:55:00 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.5019 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5907 loss: 1.5907 2022/06/29 23:31:36 - mmengine - INFO - Epoch(train) [31][2340/3757] lr: 1.000e-02 eta: 19:54:53 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.4708 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0359 loss: 2.0359 2022/06/29 23:31:42 - mmengine - INFO - Epoch(train) [31][2360/3757] lr: 1.000e-02 eta: 19:54:49 time: 0.583 data_time: 0.007 memory: 6404 grad_norm: 5.5038 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9456 loss: 1.9456 2022/06/29 23:31:48 - mmengine - INFO - Epoch(train) [31][2380/3757] lr: 1.000e-02 eta: 19:54:43 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.6248 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8354 loss: 1.8354 2022/06/29 23:31:53 - mmengine - INFO - Epoch(train) [31][2400/3757] lr: 1.000e-02 eta: 19:54:38 time: 0.273 data_time: 0.007 memory: 6404 grad_norm: 5.0735 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1988 loss: 2.1988 2022/06/29 23:31:59 - mmengine - INFO - Epoch(train) [31][2420/3757] lr: 1.000e-02 eta: 19:54:33 time: 0.278 data_time: 0.010 memory: 6404 grad_norm: 5.6698 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8658 loss: 1.8658 2022/06/29 23:32:04 - mmengine - INFO - Epoch(train) [31][2440/3757] lr: 1.000e-02 eta: 19:54:27 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.7118 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8250 loss: 1.8250 2022/06/29 23:32:11 - mmengine - INFO - Epoch(train) [31][2460/3757] lr: 1.000e-02 eta: 19:54:23 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 6.4981 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6951 loss: 1.6951 2022/06/29 23:32:16 - mmengine - INFO - Epoch(train) [31][2480/3757] lr: 1.000e-02 eta: 19:54:16 time: 0.289 data_time: 0.008 memory: 6404 grad_norm: 5.3470 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2995 loss: 2.2995 2022/06/29 23:32:21 - mmengine - INFO - Epoch(train) [31][2500/3757] lr: 1.000e-02 eta: 19:54:11 time: 0.248 data_time: 0.020 memory: 6404 grad_norm: 5.3618 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5809 loss: 2.5809 2022/06/29 23:32:26 - mmengine - INFO - Epoch(train) [31][2520/3757] lr: 1.000e-02 eta: 19:54:05 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 6.3293 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2656 loss: 2.2656 2022/06/29 23:32:32 - mmengine - INFO - Epoch(train) [31][2540/3757] lr: 1.000e-02 eta: 19:54:00 time: 0.436 data_time: 0.011 memory: 6404 grad_norm: 6.0365 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0456 loss: 2.0456 2022/06/29 23:32:37 - mmengine - INFO - Epoch(train) [31][2560/3757] lr: 1.000e-02 eta: 19:53:53 time: 0.260 data_time: 0.022 memory: 6404 grad_norm: 5.6955 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8591 loss: 1.8591 2022/06/29 23:32:43 - mmengine - INFO - Epoch(train) [31][2580/3757] lr: 1.000e-02 eta: 19:53:48 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 5.4678 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9709 loss: 1.9709 2022/06/29 23:32:48 - mmengine - INFO - Epoch(train) [31][2600/3757] lr: 1.000e-02 eta: 19:53:42 time: 0.327 data_time: 0.011 memory: 6404 grad_norm: 5.2294 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5660 loss: 2.5660 2022/06/29 23:32:54 - mmengine - INFO - Epoch(train) [31][2620/3757] lr: 1.000e-02 eta: 19:53:36 time: 0.271 data_time: 0.018 memory: 6404 grad_norm: 6.7331 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1093 loss: 2.1093 2022/06/29 23:33:00 - mmengine - INFO - Epoch(train) [31][2640/3757] lr: 1.000e-02 eta: 19:53:33 time: 0.242 data_time: 0.009 memory: 6404 grad_norm: 5.6827 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1495 loss: 2.1495 2022/06/29 23:33:05 - mmengine - INFO - Epoch(train) [31][2660/3757] lr: 1.000e-02 eta: 19:53:27 time: 0.278 data_time: 0.010 memory: 6404 grad_norm: 4.9127 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2281 loss: 2.2281 2022/06/29 23:33:10 - mmengine - INFO - Epoch(train) [31][2680/3757] lr: 1.000e-02 eta: 19:53:20 time: 0.259 data_time: 0.015 memory: 6404 grad_norm: 5.7882 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8791 loss: 1.8791 2022/06/29 23:33:15 - mmengine - INFO - Epoch(train) [31][2700/3757] lr: 1.000e-02 eta: 19:53:14 time: 0.244 data_time: 0.016 memory: 6404 grad_norm: 5.9594 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1785 loss: 2.1785 2022/06/29 23:33:21 - mmengine - INFO - Epoch(train) [31][2720/3757] lr: 1.000e-02 eta: 19:53:08 time: 0.254 data_time: 0.017 memory: 6404 grad_norm: 5.8984 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8875 loss: 1.8875 2022/06/29 23:33:26 - mmengine - INFO - Epoch(train) [31][2740/3757] lr: 1.000e-02 eta: 19:53:01 time: 0.349 data_time: 0.007 memory: 6404 grad_norm: 5.5162 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9937 loss: 1.9937 2022/06/29 23:33:31 - mmengine - INFO - Epoch(train) [31][2760/3757] lr: 1.000e-02 eta: 19:52:56 time: 0.263 data_time: 0.010 memory: 6404 grad_norm: 5.8901 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0448 loss: 2.0448 2022/06/29 23:33:37 - mmengine - INFO - Epoch(train) [31][2780/3757] lr: 1.000e-02 eta: 19:52:50 time: 0.251 data_time: 0.021 memory: 6404 grad_norm: 6.4201 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9021 loss: 1.9021 2022/06/29 23:33:43 - mmengine - INFO - Epoch(train) [31][2800/3757] lr: 1.000e-02 eta: 19:52:46 time: 0.278 data_time: 0.007 memory: 6404 grad_norm: 5.7224 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6527 loss: 1.6527 2022/06/29 23:33:48 - mmengine - INFO - Epoch(train) [31][2820/3757] lr: 1.000e-02 eta: 19:52:39 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 5.5437 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1963 loss: 2.1963 2022/06/29 23:33:53 - mmengine - INFO - Epoch(train) [31][2840/3757] lr: 1.000e-02 eta: 19:52:34 time: 0.252 data_time: 0.028 memory: 6404 grad_norm: 5.2784 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0864 loss: 2.0864 2022/06/29 23:34:00 - mmengine - INFO - Epoch(train) [31][2860/3757] lr: 1.000e-02 eta: 19:52:30 time: 0.642 data_time: 0.008 memory: 6404 grad_norm: 5.7086 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4345 loss: 2.4345 2022/06/29 23:34:05 - mmengine - INFO - Epoch(train) [31][2880/3757] lr: 1.000e-02 eta: 19:52:24 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.2906 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0457 loss: 2.0457 2022/06/29 23:34:11 - mmengine - INFO - Epoch(train) [31][2900/3757] lr: 1.000e-02 eta: 19:52:19 time: 0.885 data_time: 0.698 memory: 6404 grad_norm: 4.7822 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9508 loss: 1.9508 2022/06/29 23:34:16 - mmengine - INFO - Epoch(train) [31][2920/3757] lr: 1.000e-02 eta: 19:52:14 time: 0.270 data_time: 0.009 memory: 6404 grad_norm: 5.8734 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2130 loss: 2.2130 2022/06/29 23:34:23 - mmengine - INFO - Epoch(train) [31][2940/3757] lr: 1.000e-02 eta: 19:52:10 time: 0.240 data_time: 0.006 memory: 6404 grad_norm: 5.7515 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7483 loss: 1.7483 2022/06/29 23:34:28 - mmengine - INFO - Epoch(train) [31][2960/3757] lr: 1.000e-02 eta: 19:52:04 time: 0.242 data_time: 0.013 memory: 6404 grad_norm: 5.4939 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7422 loss: 1.7422 2022/06/29 23:34:33 - mmengine - INFO - Epoch(train) [31][2980/3757] lr: 1.000e-02 eta: 19:51:58 time: 0.312 data_time: 0.008 memory: 6404 grad_norm: 5.6913 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0035 loss: 2.0035 2022/06/29 23:34:38 - mmengine - INFO - Epoch(train) [31][3000/3757] lr: 1.000e-02 eta: 19:51:52 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 5.0903 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8688 loss: 1.8688 2022/06/29 23:34:44 - mmengine - INFO - Epoch(train) [31][3020/3757] lr: 1.000e-02 eta: 19:51:46 time: 0.257 data_time: 0.015 memory: 6404 grad_norm: 5.7934 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9050 loss: 1.9050 2022/06/29 23:34:49 - mmengine - INFO - Epoch(train) [31][3040/3757] lr: 1.000e-02 eta: 19:51:40 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 4.9345 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8566 loss: 1.8566 2022/06/29 23:34:54 - mmengine - INFO - Epoch(train) [31][3060/3757] lr: 1.000e-02 eta: 19:51:33 time: 0.251 data_time: 0.027 memory: 6404 grad_norm: 5.0630 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7580 loss: 1.7580 2022/06/29 23:34:59 - mmengine - INFO - Epoch(train) [31][3080/3757] lr: 1.000e-02 eta: 19:51:28 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.7761 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1083 loss: 2.1083 2022/06/29 23:35:05 - mmengine - INFO - Epoch(train) [31][3100/3757] lr: 1.000e-02 eta: 19:51:21 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 5.8269 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2599 loss: 2.2599 2022/06/29 23:35:10 - mmengine - INFO - Epoch(train) [31][3120/3757] lr: 1.000e-02 eta: 19:51:16 time: 0.282 data_time: 0.016 memory: 6404 grad_norm: 5.4898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7175 loss: 1.7175 2022/06/29 23:35:16 - mmengine - INFO - Epoch(train) [31][3140/3757] lr: 1.000e-02 eta: 19:51:11 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 6.1578 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0172 loss: 2.0172 2022/06/29 23:35:21 - mmengine - INFO - Epoch(train) [31][3160/3757] lr: 1.000e-02 eta: 19:51:05 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 5.0466 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6235 loss: 1.6235 2022/06/29 23:35:27 - mmengine - INFO - Epoch(train) [31][3180/3757] lr: 1.000e-02 eta: 19:51:00 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.6201 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6541 loss: 1.6541 2022/06/29 23:35:32 - mmengine - INFO - Epoch(train) [31][3200/3757] lr: 1.000e-02 eta: 19:50:55 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.8150 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7952 loss: 1.7952 2022/06/29 23:35:38 - mmengine - INFO - Epoch(train) [31][3220/3757] lr: 1.000e-02 eta: 19:50:48 time: 0.245 data_time: 0.013 memory: 6404 grad_norm: 6.8508 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2705 loss: 2.2705 2022/06/29 23:35:44 - mmengine - INFO - Epoch(train) [31][3240/3757] lr: 1.000e-02 eta: 19:50:45 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.4422 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6036 loss: 1.6036 2022/06/29 23:35:49 - mmengine - INFO - Epoch(train) [31][3260/3757] lr: 1.000e-02 eta: 19:50:38 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 4.4621 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6031 loss: 1.6031 2022/06/29 23:35:54 - mmengine - INFO - Epoch(train) [31][3280/3757] lr: 1.000e-02 eta: 19:50:33 time: 0.245 data_time: 0.012 memory: 6404 grad_norm: 6.3733 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1700 loss: 2.1700 2022/06/29 23:35:57 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 23:36:01 - mmengine - INFO - Epoch(train) [31][3300/3757] lr: 1.000e-02 eta: 19:50:29 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 5.9955 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9737 loss: 1.9737 2022/06/29 23:36:06 - mmengine - INFO - Epoch(train) [31][3320/3757] lr: 1.000e-02 eta: 19:50:23 time: 0.260 data_time: 0.006 memory: 6404 grad_norm: 5.9803 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3693 loss: 1.3693 2022/06/29 23:36:11 - mmengine - INFO - Epoch(train) [31][3340/3757] lr: 1.000e-02 eta: 19:50:17 time: 0.269 data_time: 0.011 memory: 6404 grad_norm: 6.1333 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8413 loss: 1.8413 2022/06/29 23:36:16 - mmengine - INFO - Epoch(train) [31][3360/3757] lr: 1.000e-02 eta: 19:50:11 time: 0.263 data_time: 0.006 memory: 6404 grad_norm: 6.0799 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8788 loss: 1.8788 2022/06/29 23:36:22 - mmengine - INFO - Epoch(train) [31][3380/3757] lr: 1.000e-02 eta: 19:50:06 time: 0.267 data_time: 0.016 memory: 6404 grad_norm: 5.5201 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8378 loss: 1.8378 2022/06/29 23:36:27 - mmengine - INFO - Epoch(train) [31][3400/3757] lr: 1.000e-02 eta: 19:49:59 time: 0.265 data_time: 0.010 memory: 6404 grad_norm: 5.5094 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0407 loss: 2.0407 2022/06/29 23:36:33 - mmengine - INFO - Epoch(train) [31][3420/3757] lr: 1.000e-02 eta: 19:49:54 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.5506 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2611 loss: 2.2611 2022/06/29 23:36:40 - mmengine - INFO - Epoch(train) [31][3440/3757] lr: 1.000e-02 eta: 19:49:51 time: 0.775 data_time: 0.007 memory: 6404 grad_norm: 6.1812 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8357 loss: 1.8357 2022/06/29 23:36:45 - mmengine - INFO - Epoch(train) [31][3460/3757] lr: 1.000e-02 eta: 19:49:45 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 5.5466 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2494 loss: 2.2494 2022/06/29 23:36:50 - mmengine - INFO - Epoch(train) [31][3480/3757] lr: 1.000e-02 eta: 19:49:38 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 6.4894 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6069 loss: 1.6069 2022/06/29 23:36:55 - mmengine - INFO - Epoch(train) [31][3500/3757] lr: 1.000e-02 eta: 19:49:32 time: 0.385 data_time: 0.008 memory: 6404 grad_norm: 4.8336 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9527 loss: 1.9527 2022/06/29 23:37:02 - mmengine - INFO - Epoch(train) [31][3520/3757] lr: 1.000e-02 eta: 19:49:29 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 5.3687 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0965 loss: 2.0965 2022/06/29 23:37:07 - mmengine - INFO - Epoch(train) [31][3540/3757] lr: 1.000e-02 eta: 19:49:23 time: 0.290 data_time: 0.007 memory: 6404 grad_norm: 5.9413 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8360 loss: 1.8360 2022/06/29 23:37:12 - mmengine - INFO - Epoch(train) [31][3560/3757] lr: 1.000e-02 eta: 19:49:18 time: 0.261 data_time: 0.009 memory: 6404 grad_norm: 5.7255 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6816 loss: 1.6816 2022/06/29 23:37:18 - mmengine - INFO - Epoch(train) [31][3580/3757] lr: 1.000e-02 eta: 19:49:12 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 6.2112 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1651 loss: 2.1651 2022/06/29 23:37:24 - mmengine - INFO - Epoch(train) [31][3600/3757] lr: 1.000e-02 eta: 19:49:07 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 5.3034 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9421 loss: 1.9421 2022/06/29 23:37:29 - mmengine - INFO - Epoch(train) [31][3620/3757] lr: 1.000e-02 eta: 19:49:02 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.7398 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9963 loss: 1.9963 2022/06/29 23:37:35 - mmengine - INFO - Epoch(train) [31][3640/3757] lr: 1.000e-02 eta: 19:48:56 time: 0.287 data_time: 0.007 memory: 6404 grad_norm: 5.5264 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4285 loss: 1.4285 2022/06/29 23:37:40 - mmengine - INFO - Epoch(train) [31][3660/3757] lr: 1.000e-02 eta: 19:48:50 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.8658 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0179 loss: 2.0179 2022/06/29 23:37:45 - mmengine - INFO - Epoch(train) [31][3680/3757] lr: 1.000e-02 eta: 19:48:43 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.6295 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.6653 loss: 1.6653 2022/06/29 23:37:51 - mmengine - INFO - Epoch(train) [31][3700/3757] lr: 1.000e-02 eta: 19:48:39 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 5.2827 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3001 loss: 2.3001 2022/06/29 23:37:56 - mmengine - INFO - Epoch(train) [31][3720/3757] lr: 1.000e-02 eta: 19:48:32 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.7347 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1444 loss: 2.1444 2022/06/29 23:38:01 - mmengine - INFO - Epoch(train) [31][3740/3757] lr: 1.000e-02 eta: 19:48:26 time: 0.254 data_time: 0.016 memory: 6404 grad_norm: 6.0437 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7654 loss: 1.7654 2022/06/29 23:38:05 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 23:38:14 - mmengine - INFO - Epoch(val) [31][20/310] eta: 0:01:58 time: 0.082 data_time: 0.005 memory: 6404 2022/06/29 23:38:20 - mmengine - INFO - Epoch(val) [31][40/310] eta: 0:01:10 time: 0.088 data_time: 0.006 memory: 1479 2022/06/29 23:38:24 - mmengine - INFO - Epoch(val) [31][60/310] eta: 0:00:22 time: 0.090 data_time: 0.007 memory: 1479 2022/06/29 23:38:29 - mmengine - INFO - Epoch(val) [31][80/310] eta: 0:01:02 time: 0.090 data_time: 0.008 memory: 1479 2022/06/29 23:38:35 - mmengine - INFO - Epoch(val) [31][100/310] eta: 0:00:55 time: 0.079 data_time: 0.005 memory: 1479 2022/06/29 23:38:38 - mmengine - INFO - Epoch(val) [31][120/310] eta: 0:00:15 time: 0.080 data_time: 0.006 memory: 1479 2022/06/29 23:38:44 - mmengine - INFO - Epoch(val) [31][140/310] eta: 0:00:52 time: 0.086 data_time: 0.006 memory: 1479 2022/06/29 23:38:50 - mmengine - INFO - Epoch(val) [31][160/310] eta: 0:00:43 time: 0.080 data_time: 0.005 memory: 1479 2022/06/29 23:38:54 - mmengine - INFO - Epoch(val) [31][180/310] eta: 0:00:10 time: 0.084 data_time: 0.007 memory: 1479 2022/06/29 23:39:00 - mmengine - INFO - Epoch(val) [31][200/310] eta: 0:00:34 time: 0.084 data_time: 0.009 memory: 1479 2022/06/29 23:39:05 - mmengine - INFO - Epoch(val) [31][220/310] eta: 0:00:25 time: 0.081 data_time: 0.005 memory: 1479 2022/06/29 23:39:09 - mmengine - INFO - Epoch(val) [31][240/310] eta: 0:00:05 time: 0.082 data_time: 0.006 memory: 1479 2022/06/29 23:39:15 - mmengine - INFO - Epoch(val) [31][260/310] eta: 0:00:14 time: 0.089 data_time: 0.011 memory: 1479 2022/06/29 23:39:20 - mmengine - INFO - Epoch(val) [31][280/310] eta: 0:00:08 time: 0.093 data_time: 0.008 memory: 1479 2022/06/29 23:39:24 - mmengine - INFO - Epoch(val) [31][300/310] eta: 0:00:01 time: 0.082 data_time: 0.006 memory: 1479 2022/06/29 23:39:28 - mmengine - INFO - Epoch(val) [31][310/310] acc/top1: 0.5743 acc/top5: 0.8090 acc/mean1: 0.5742 2022/06/29 23:39:37 - mmengine - INFO - Epoch(train) [32][20/3757] lr: 1.000e-02 eta: 19:48:18 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.8397 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2279 loss: 2.2279 2022/06/29 23:39:43 - mmengine - INFO - Epoch(train) [32][40/3757] lr: 1.000e-02 eta: 19:48:13 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 5.3219 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0175 loss: 2.0175 2022/06/29 23:39:48 - mmengine - INFO - Epoch(train) [32][60/3757] lr: 1.000e-02 eta: 19:48:07 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 5.2324 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2537 loss: 2.2537 2022/06/29 23:39:54 - mmengine - INFO - Epoch(train) [32][80/3757] lr: 1.000e-02 eta: 19:48:02 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.9098 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7768 loss: 1.7768 2022/06/29 23:39:59 - mmengine - INFO - Epoch(train) [32][100/3757] lr: 1.000e-02 eta: 19:47:56 time: 0.331 data_time: 0.126 memory: 6404 grad_norm: 5.1011 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8063 loss: 1.8063 2022/06/29 23:40:05 - mmengine - INFO - Epoch(train) [32][120/3757] lr: 1.000e-02 eta: 19:47:51 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.2307 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4268 loss: 2.4268 2022/06/29 23:40:11 - mmengine - INFO - Epoch(train) [32][140/3757] lr: 1.000e-02 eta: 19:47:47 time: 0.242 data_time: 0.011 memory: 6404 grad_norm: 5.2230 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6787 loss: 1.6787 2022/06/29 23:40:16 - mmengine - INFO - Epoch(train) [32][160/3757] lr: 1.000e-02 eta: 19:47:41 time: 0.253 data_time: 0.021 memory: 6404 grad_norm: 5.0871 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9112 loss: 1.9112 2022/06/29 23:40:23 - mmengine - INFO - Epoch(train) [32][180/3757] lr: 1.000e-02 eta: 19:47:38 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 6.4064 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1900 loss: 2.1900 2022/06/29 23:40:28 - mmengine - INFO - Epoch(train) [32][200/3757] lr: 1.000e-02 eta: 19:47:31 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.4759 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4766 loss: 1.4766 2022/06/29 23:40:33 - mmengine - INFO - Epoch(train) [32][220/3757] lr: 1.000e-02 eta: 19:47:26 time: 0.237 data_time: 0.019 memory: 6404 grad_norm: 6.1765 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6420 loss: 1.6420 2022/06/29 23:40:39 - mmengine - INFO - Epoch(train) [32][240/3757] lr: 1.000e-02 eta: 19:47:19 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 4.9154 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1673 loss: 2.1673 2022/06/29 23:40:45 - mmengine - INFO - Epoch(train) [32][260/3757] lr: 1.000e-02 eta: 19:47:16 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 5.7491 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2494 loss: 1.2494 2022/06/29 23:40:50 - mmengine - INFO - Epoch(train) [32][280/3757] lr: 1.000e-02 eta: 19:47:09 time: 0.251 data_time: 0.029 memory: 6404 grad_norm: 5.4559 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7435 loss: 1.7435 2022/06/29 23:40:55 - mmengine - INFO - Epoch(train) [32][300/3757] lr: 1.000e-02 eta: 19:47:03 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.5035 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1964 loss: 2.1964 2022/06/29 23:41:00 - mmengine - INFO - Epoch(train) [32][320/3757] lr: 1.000e-02 eta: 19:46:56 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.0919 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9023 loss: 1.9023 2022/06/29 23:41:06 - mmengine - INFO - Epoch(train) [32][340/3757] lr: 1.000e-02 eta: 19:46:51 time: 0.812 data_time: 0.627 memory: 6404 grad_norm: 5.6693 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1478 loss: 2.1478 2022/06/29 23:41:11 - mmengine - INFO - Epoch(train) [32][360/3757] lr: 1.000e-02 eta: 19:46:46 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.8298 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7115 loss: 1.7115 2022/06/29 23:41:17 - mmengine - INFO - Epoch(train) [32][380/3757] lr: 1.000e-02 eta: 19:46:42 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.1845 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7782 loss: 1.7782 2022/06/29 23:41:23 - mmengine - INFO - Epoch(train) [32][400/3757] lr: 1.000e-02 eta: 19:46:36 time: 0.283 data_time: 0.023 memory: 6404 grad_norm: 5.2748 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2166 loss: 2.2166 2022/06/29 23:41:28 - mmengine - INFO - Epoch(train) [32][420/3757] lr: 1.000e-02 eta: 19:46:30 time: 0.263 data_time: 0.009 memory: 6404 grad_norm: 6.3210 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5483 loss: 1.5483 2022/06/29 23:41:34 - mmengine - INFO - Epoch(train) [32][440/3757] lr: 1.000e-02 eta: 19:46:25 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 5.7271 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8538 loss: 1.8538 2022/06/29 23:41:40 - mmengine - INFO - Epoch(train) [32][460/3757] lr: 1.000e-02 eta: 19:46:21 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 5.9725 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9914 loss: 1.9914 2022/06/29 23:41:45 - mmengine - INFO - Epoch(train) [32][480/3757] lr: 1.000e-02 eta: 19:46:15 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 5.3479 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8313 loss: 1.8313 2022/06/29 23:41:51 - mmengine - INFO - Epoch(train) [32][500/3757] lr: 1.000e-02 eta: 19:46:10 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 5.6889 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.0715 loss: 2.0715 2022/06/29 23:41:57 - mmengine - INFO - Epoch(train) [32][520/3757] lr: 1.000e-02 eta: 19:46:05 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 5.2591 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7118 loss: 1.7118 2022/06/29 23:42:00 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 23:42:02 - mmengine - INFO - Epoch(train) [32][540/3757] lr: 1.000e-02 eta: 19:45:59 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 4.9429 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4419 loss: 1.4419 2022/06/29 23:42:07 - mmengine - INFO - Epoch(train) [32][560/3757] lr: 1.000e-02 eta: 19:45:53 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 5.4172 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0179 loss: 2.0179 2022/06/29 23:42:13 - mmengine - INFO - Epoch(train) [32][580/3757] lr: 1.000e-02 eta: 19:45:48 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 4.5769 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7541 loss: 1.7541 2022/06/29 23:42:18 - mmengine - INFO - Epoch(train) [32][600/3757] lr: 1.000e-02 eta: 19:45:41 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.6558 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9960 loss: 1.9960 2022/06/29 23:42:24 - mmengine - INFO - Epoch(train) [32][620/3757] lr: 1.000e-02 eta: 19:45:36 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 4.6907 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9241 loss: 1.9241 2022/06/29 23:42:29 - mmengine - INFO - Epoch(train) [32][640/3757] lr: 1.000e-02 eta: 19:45:29 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 6.2864 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7299 loss: 1.7299 2022/06/29 23:42:34 - mmengine - INFO - Epoch(train) [32][660/3757] lr: 1.000e-02 eta: 19:45:24 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.5567 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3611 loss: 2.3611 2022/06/29 23:42:40 - mmengine - INFO - Epoch(train) [32][680/3757] lr: 1.000e-02 eta: 19:45:18 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.8061 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8167 loss: 1.8167 2022/06/29 23:42:46 - mmengine - INFO - Epoch(train) [32][700/3757] lr: 1.000e-02 eta: 19:45:14 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 5.4345 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9115 loss: 1.9115 2022/06/29 23:42:51 - mmengine - INFO - Epoch(train) [32][720/3757] lr: 1.000e-02 eta: 19:45:08 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.6933 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9820 loss: 1.9820 2022/06/29 23:42:57 - mmengine - INFO - Epoch(train) [32][740/3757] lr: 1.000e-02 eta: 19:45:02 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.5430 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7974 loss: 1.7974 2022/06/29 23:43:03 - mmengine - INFO - Epoch(train) [32][760/3757] lr: 1.000e-02 eta: 19:44:59 time: 1.240 data_time: 0.008 memory: 6404 grad_norm: 5.3491 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4656 loss: 2.4656 2022/06/29 23:43:09 - mmengine - INFO - Epoch(train) [32][780/3757] lr: 1.000e-02 eta: 19:44:54 time: 0.239 data_time: 0.010 memory: 6404 grad_norm: 5.2768 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0340 loss: 2.0340 2022/06/29 23:43:14 - mmengine - INFO - Epoch(train) [32][800/3757] lr: 1.000e-02 eta: 19:44:48 time: 0.258 data_time: 0.017 memory: 6404 grad_norm: 5.9870 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8168 loss: 1.8168 2022/06/29 23:43:19 - mmengine - INFO - Epoch(train) [32][820/3757] lr: 1.000e-02 eta: 19:44:41 time: 0.254 data_time: 0.015 memory: 6404 grad_norm: 5.6130 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8621 loss: 1.8621 2022/06/29 23:43:24 - mmengine - INFO - Epoch(train) [32][840/3757] lr: 1.000e-02 eta: 19:44:36 time: 0.295 data_time: 0.014 memory: 6404 grad_norm: 5.3905 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7134 loss: 1.7134 2022/06/29 23:43:30 - mmengine - INFO - Epoch(train) [32][860/3757] lr: 1.000e-02 eta: 19:44:30 time: 0.388 data_time: 0.006 memory: 6404 grad_norm: 6.2226 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9104 loss: 1.9104 2022/06/29 23:43:35 - mmengine - INFO - Epoch(train) [32][880/3757] lr: 1.000e-02 eta: 19:44:23 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.8219 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8750 loss: 1.8750 2022/06/29 23:43:40 - mmengine - INFO - Epoch(train) [32][900/3757] lr: 1.000e-02 eta: 19:44:17 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.0255 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0152 loss: 2.0152 2022/06/29 23:43:45 - mmengine - INFO - Epoch(train) [32][920/3757] lr: 1.000e-02 eta: 19:44:11 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.6301 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8146 loss: 1.8146 2022/06/29 23:43:51 - mmengine - INFO - Epoch(train) [32][940/3757] lr: 1.000e-02 eta: 19:44:05 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 4.8808 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1380 loss: 2.1380 2022/06/29 23:43:57 - mmengine - INFO - Epoch(train) [32][960/3757] lr: 1.000e-02 eta: 19:44:02 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 5.7371 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9690 loss: 1.9690 2022/06/29 23:44:03 - mmengine - INFO - Epoch(train) [32][980/3757] lr: 1.000e-02 eta: 19:43:58 time: 0.329 data_time: 0.006 memory: 6404 grad_norm: 6.1292 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8092 loss: 1.8092 2022/06/29 23:44:08 - mmengine - INFO - Epoch(train) [32][1000/3757] lr: 1.000e-02 eta: 19:43:51 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 5.9347 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8015 loss: 1.8015 2022/06/29 23:44:14 - mmengine - INFO - Epoch(train) [32][1020/3757] lr: 1.000e-02 eta: 19:43:45 time: 0.262 data_time: 0.010 memory: 6404 grad_norm: 6.4709 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8856 loss: 1.8856 2022/06/29 23:44:19 - mmengine - INFO - Epoch(train) [32][1040/3757] lr: 1.000e-02 eta: 19:43:39 time: 0.259 data_time: 0.006 memory: 6404 grad_norm: 4.8773 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9938 loss: 1.9938 2022/06/29 23:44:25 - mmengine - INFO - Epoch(train) [32][1060/3757] lr: 1.000e-02 eta: 19:43:34 time: 0.277 data_time: 0.009 memory: 6404 grad_norm: 5.9984 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0636 loss: 2.0636 2022/06/29 23:44:31 - mmengine - INFO - Epoch(train) [32][1080/3757] lr: 1.000e-02 eta: 19:43:30 time: 0.261 data_time: 0.014 memory: 6404 grad_norm: 6.7974 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6899 loss: 1.6899 2022/06/29 23:44:36 - mmengine - INFO - Epoch(train) [32][1100/3757] lr: 1.000e-02 eta: 19:43:24 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 5.1725 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7030 loss: 1.7030 2022/06/29 23:44:41 - mmengine - INFO - Epoch(train) [32][1120/3757] lr: 1.000e-02 eta: 19:43:18 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 6.1113 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8850 loss: 1.8850 2022/06/29 23:44:47 - mmengine - INFO - Epoch(train) [32][1140/3757] lr: 1.000e-02 eta: 19:43:12 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 5.4898 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8331 loss: 1.8331 2022/06/29 23:44:52 - mmengine - INFO - Epoch(train) [32][1160/3757] lr: 1.000e-02 eta: 19:43:06 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.6997 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2652 loss: 2.2652 2022/06/29 23:44:57 - mmengine - INFO - Epoch(train) [32][1180/3757] lr: 1.000e-02 eta: 19:43:00 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 5.5892 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5296 loss: 1.5296 2022/06/29 23:45:03 - mmengine - INFO - Epoch(train) [32][1200/3757] lr: 1.000e-02 eta: 19:42:56 time: 0.261 data_time: 0.014 memory: 6404 grad_norm: 6.7933 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5486 loss: 1.5486 2022/06/29 23:45:09 - mmengine - INFO - Epoch(train) [32][1220/3757] lr: 1.000e-02 eta: 19:42:50 time: 0.264 data_time: 0.017 memory: 6404 grad_norm: 6.2902 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7240 loss: 1.7240 2022/06/29 23:45:14 - mmengine - INFO - Epoch(train) [32][1240/3757] lr: 1.000e-02 eta: 19:42:44 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 4.4728 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7231 loss: 1.7231 2022/06/29 23:45:20 - mmengine - INFO - Epoch(train) [32][1260/3757] lr: 1.000e-02 eta: 19:42:40 time: 0.345 data_time: 0.052 memory: 6404 grad_norm: 4.7178 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1219 loss: 2.1219 2022/06/29 23:45:25 - mmengine - INFO - Epoch(train) [32][1280/3757] lr: 1.000e-02 eta: 19:42:33 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 6.4572 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2619 loss: 2.2619 2022/06/29 23:45:30 - mmengine - INFO - Epoch(train) [32][1300/3757] lr: 1.000e-02 eta: 19:42:27 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.3189 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8025 loss: 1.8025 2022/06/29 23:45:35 - mmengine - INFO - Epoch(train) [32][1320/3757] lr: 1.000e-02 eta: 19:42:21 time: 0.256 data_time: 0.022 memory: 6404 grad_norm: 4.9193 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2467 loss: 2.2467 2022/06/29 23:45:42 - mmengine - INFO - Epoch(train) [32][1340/3757] lr: 1.000e-02 eta: 19:42:17 time: 0.295 data_time: 0.007 memory: 6404 grad_norm: 5.5372 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1240 loss: 2.1240 2022/06/29 23:45:47 - mmengine - INFO - Epoch(train) [32][1360/3757] lr: 1.000e-02 eta: 19:42:10 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 6.2662 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8939 loss: 1.8939 2022/06/29 23:45:52 - mmengine - INFO - Epoch(train) [32][1380/3757] lr: 1.000e-02 eta: 19:42:05 time: 0.254 data_time: 0.027 memory: 6404 grad_norm: 5.8906 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4839 loss: 1.4839 2022/06/29 23:45:58 - mmengine - INFO - Epoch(train) [32][1400/3757] lr: 1.000e-02 eta: 19:41:59 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.4103 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0678 loss: 2.0678 2022/06/29 23:46:04 - mmengine - INFO - Epoch(train) [32][1420/3757] lr: 1.000e-02 eta: 19:41:55 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.7179 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9903 loss: 1.9903 2022/06/29 23:46:09 - mmengine - INFO - Epoch(train) [32][1440/3757] lr: 1.000e-02 eta: 19:41:49 time: 0.248 data_time: 0.021 memory: 6404 grad_norm: 5.8036 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9217 loss: 1.9217 2022/06/29 23:46:15 - mmengine - INFO - Epoch(train) [32][1460/3757] lr: 1.000e-02 eta: 19:41:43 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 7.0312 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6322 loss: 1.6322 2022/06/29 23:46:20 - mmengine - INFO - Epoch(train) [32][1480/3757] lr: 1.000e-02 eta: 19:41:38 time: 0.525 data_time: 0.014 memory: 6404 grad_norm: 5.9674 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7110 loss: 1.7110 2022/06/29 23:46:25 - mmengine - INFO - Epoch(train) [32][1500/3757] lr: 1.000e-02 eta: 19:41:32 time: 0.252 data_time: 0.025 memory: 6404 grad_norm: 5.5233 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0789 loss: 2.0789 2022/06/29 23:46:31 - mmengine - INFO - Epoch(train) [32][1520/3757] lr: 1.000e-02 eta: 19:41:27 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 6.0686 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9016 loss: 1.9016 2022/06/29 23:46:35 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 23:46:36 - mmengine - INFO - Epoch(train) [32][1540/3757] lr: 1.000e-02 eta: 19:41:21 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.7735 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7500 loss: 1.7500 2022/06/29 23:46:43 - mmengine - INFO - Epoch(train) [32][1560/3757] lr: 1.000e-02 eta: 19:41:17 time: 0.242 data_time: 0.013 memory: 6404 grad_norm: 6.0228 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8493 loss: 1.8493 2022/06/29 23:46:48 - mmengine - INFO - Epoch(train) [32][1580/3757] lr: 1.000e-02 eta: 19:41:11 time: 0.245 data_time: 0.015 memory: 6404 grad_norm: 4.9333 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7271 loss: 1.7271 2022/06/29 23:46:53 - mmengine - INFO - Epoch(train) [32][1600/3757] lr: 1.000e-02 eta: 19:41:05 time: 0.250 data_time: 0.015 memory: 6404 grad_norm: 6.1585 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4846 loss: 2.4846 2022/06/29 23:46:58 - mmengine - INFO - Epoch(train) [32][1620/3757] lr: 1.000e-02 eta: 19:40:59 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.1283 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6846 loss: 1.6846 2022/06/29 23:47:04 - mmengine - INFO - Epoch(train) [32][1640/3757] lr: 1.000e-02 eta: 19:40:54 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 4.5597 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7627 loss: 1.7627 2022/06/29 23:47:11 - mmengine - INFO - Epoch(train) [32][1660/3757] lr: 1.000e-02 eta: 19:40:51 time: 0.253 data_time: 0.018 memory: 6404 grad_norm: 6.3031 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7168 loss: 1.7168 2022/06/29 23:47:16 - mmengine - INFO - Epoch(train) [32][1680/3757] lr: 1.000e-02 eta: 19:40:44 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 5.9971 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9911 loss: 1.9911 2022/06/29 23:47:21 - mmengine - INFO - Epoch(train) [32][1700/3757] lr: 1.000e-02 eta: 19:40:38 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 5.3039 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0919 loss: 2.0919 2022/06/29 23:47:26 - mmengine - INFO - Epoch(train) [32][1720/3757] lr: 1.000e-02 eta: 19:40:32 time: 0.272 data_time: 0.013 memory: 6404 grad_norm: 4.9598 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6228 loss: 1.6228 2022/06/29 23:47:31 - mmengine - INFO - Epoch(train) [32][1740/3757] lr: 1.000e-02 eta: 19:40:25 time: 0.259 data_time: 0.016 memory: 6404 grad_norm: 6.2481 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9078 loss: 1.9078 2022/06/29 23:47:36 - mmengine - INFO - Epoch(train) [32][1760/3757] lr: 1.000e-02 eta: 19:40:19 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 6.6749 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7410 loss: 1.7410 2022/06/29 23:47:42 - mmengine - INFO - Epoch(train) [32][1780/3757] lr: 1.000e-02 eta: 19:40:15 time: 0.241 data_time: 0.021 memory: 6404 grad_norm: 5.8663 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9288 loss: 1.9288 2022/06/29 23:47:49 - mmengine - INFO - Epoch(train) [32][1800/3757] lr: 1.000e-02 eta: 19:40:12 time: 0.288 data_time: 0.012 memory: 6404 grad_norm: 4.7206 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9420 loss: 1.9420 2022/06/29 23:47:54 - mmengine - INFO - Epoch(train) [32][1820/3757] lr: 1.000e-02 eta: 19:40:06 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.6543 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8240 loss: 1.8240 2022/06/29 23:47:59 - mmengine - INFO - Epoch(train) [32][1840/3757] lr: 1.000e-02 eta: 19:39:59 time: 0.249 data_time: 0.015 memory: 6404 grad_norm: 6.8193 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6813 loss: 1.6813 2022/06/29 23:48:05 - mmengine - INFO - Epoch(train) [32][1860/3757] lr: 1.000e-02 eta: 19:39:53 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 5.3452 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2958 loss: 1.2958 2022/06/29 23:48:10 - mmengine - INFO - Epoch(train) [32][1880/3757] lr: 1.000e-02 eta: 19:39:48 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 6.7997 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0156 loss: 2.0156 2022/06/29 23:48:16 - mmengine - INFO - Epoch(train) [32][1900/3757] lr: 1.000e-02 eta: 19:39:43 time: 0.255 data_time: 0.020 memory: 6404 grad_norm: 6.1144 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0691 loss: 2.0691 2022/06/29 23:48:22 - mmengine - INFO - Epoch(train) [32][1920/3757] lr: 1.000e-02 eta: 19:39:38 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 5.9345 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3952 loss: 2.3952 2022/06/29 23:48:28 - mmengine - INFO - Epoch(train) [32][1940/3757] lr: 1.000e-02 eta: 19:39:33 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 6.3798 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8036 loss: 1.8036 2022/06/29 23:48:33 - mmengine - INFO - Epoch(train) [32][1960/3757] lr: 1.000e-02 eta: 19:39:27 time: 0.244 data_time: 0.034 memory: 6404 grad_norm: 5.9938 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7106 loss: 1.7106 2022/06/29 23:48:39 - mmengine - INFO - Epoch(train) [32][1980/3757] lr: 1.000e-02 eta: 19:39:22 time: 0.600 data_time: 0.008 memory: 6404 grad_norm: 6.1861 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7113 loss: 1.7113 2022/06/29 23:48:44 - mmengine - INFO - Epoch(train) [32][2000/3757] lr: 1.000e-02 eta: 19:39:16 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 5.1410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7130 loss: 1.7130 2022/06/29 23:48:49 - mmengine - INFO - Epoch(train) [32][2020/3757] lr: 1.000e-02 eta: 19:39:10 time: 0.264 data_time: 0.011 memory: 6404 grad_norm: 5.4852 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8229 loss: 1.8229 2022/06/29 23:48:55 - mmengine - INFO - Epoch(train) [32][2040/3757] lr: 1.000e-02 eta: 19:39:05 time: 0.272 data_time: 0.011 memory: 6404 grad_norm: 6.0551 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7748 loss: 1.7748 2022/06/29 23:49:00 - mmengine - INFO - Epoch(train) [32][2060/3757] lr: 1.000e-02 eta: 19:39:00 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 5.9463 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0407 loss: 2.0407 2022/06/29 23:49:06 - mmengine - INFO - Epoch(train) [32][2080/3757] lr: 1.000e-02 eta: 19:38:53 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 5.0275 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4572 loss: 1.4572 2022/06/29 23:49:11 - mmengine - INFO - Epoch(train) [32][2100/3757] lr: 1.000e-02 eta: 19:38:47 time: 0.260 data_time: 0.020 memory: 6404 grad_norm: 7.4091 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0157 loss: 2.0157 2022/06/29 23:49:16 - mmengine - INFO - Epoch(train) [32][2120/3757] lr: 1.000e-02 eta: 19:38:42 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 6.5558 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4396 loss: 2.4396 2022/06/29 23:49:22 - mmengine - INFO - Epoch(train) [32][2140/3757] lr: 1.000e-02 eta: 19:38:36 time: 0.270 data_time: 0.007 memory: 6404 grad_norm: 6.2878 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7445 loss: 1.7445 2022/06/29 23:49:27 - mmengine - INFO - Epoch(train) [32][2160/3757] lr: 1.000e-02 eta: 19:38:30 time: 0.400 data_time: 0.021 memory: 6404 grad_norm: 6.5130 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6409 loss: 1.6409 2022/06/29 23:49:33 - mmengine - INFO - Epoch(train) [32][2180/3757] lr: 1.000e-02 eta: 19:38:26 time: 0.249 data_time: 0.017 memory: 6404 grad_norm: 5.2782 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1185 loss: 2.1185 2022/06/29 23:49:39 - mmengine - INFO - Epoch(train) [32][2200/3757] lr: 1.000e-02 eta: 19:38:21 time: 0.403 data_time: 0.007 memory: 6404 grad_norm: 5.8021 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0267 loss: 2.0267 2022/06/29 23:49:45 - mmengine - INFO - Epoch(train) [32][2220/3757] lr: 1.000e-02 eta: 19:38:16 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 6.2855 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1971 loss: 2.1971 2022/06/29 23:49:50 - mmengine - INFO - Epoch(train) [32][2240/3757] lr: 1.000e-02 eta: 19:38:10 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 6.2338 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5624 loss: 1.5624 2022/06/29 23:49:55 - mmengine - INFO - Epoch(train) [32][2260/3757] lr: 1.000e-02 eta: 19:38:04 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.0561 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1218 loss: 2.1218 2022/06/29 23:50:01 - mmengine - INFO - Epoch(train) [32][2280/3757] lr: 1.000e-02 eta: 19:37:59 time: 0.278 data_time: 0.009 memory: 6404 grad_norm: 5.5039 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9828 loss: 1.9828 2022/06/29 23:50:07 - mmengine - INFO - Epoch(train) [32][2300/3757] lr: 1.000e-02 eta: 19:37:54 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 4.7972 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7385 loss: 1.7385 2022/06/29 23:50:13 - mmengine - INFO - Epoch(train) [32][2320/3757] lr: 1.000e-02 eta: 19:37:50 time: 0.269 data_time: 0.006 memory: 6404 grad_norm: 5.0281 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9703 loss: 1.9703 2022/06/29 23:50:18 - mmengine - INFO - Epoch(train) [32][2340/3757] lr: 1.000e-02 eta: 19:37:45 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 5.2416 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0333 loss: 2.0333 2022/06/29 23:50:24 - mmengine - INFO - Epoch(train) [32][2360/3757] lr: 1.000e-02 eta: 19:37:39 time: 0.239 data_time: 0.007 memory: 6404 grad_norm: 5.4646 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0522 loss: 2.0522 2022/06/29 23:50:29 - mmengine - INFO - Epoch(train) [32][2380/3757] lr: 1.000e-02 eta: 19:37:33 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 6.0323 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8100 loss: 1.8100 2022/06/29 23:50:34 - mmengine - INFO - Epoch(train) [32][2400/3757] lr: 1.000e-02 eta: 19:37:26 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 5.2183 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6256 loss: 1.6256 2022/06/29 23:50:39 - mmengine - INFO - Epoch(train) [32][2420/3757] lr: 1.000e-02 eta: 19:37:20 time: 0.234 data_time: 0.013 memory: 6404 grad_norm: 4.5751 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1182 loss: 2.1182 2022/06/29 23:50:45 - mmengine - INFO - Epoch(train) [32][2440/3757] lr: 1.000e-02 eta: 19:37:15 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 5.8147 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0032 loss: 2.0032 2022/06/29 23:50:51 - mmengine - INFO - Epoch(train) [32][2460/3757] lr: 1.000e-02 eta: 19:37:11 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 5.8544 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5806 loss: 1.5806 2022/06/29 23:50:56 - mmengine - INFO - Epoch(train) [32][2480/3757] lr: 1.000e-02 eta: 19:37:05 time: 0.298 data_time: 0.007 memory: 6404 grad_norm: 5.3594 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2480 loss: 2.2480 2022/06/29 23:51:02 - mmengine - INFO - Epoch(train) [32][2500/3757] lr: 1.000e-02 eta: 19:36:59 time: 0.247 data_time: 0.024 memory: 6404 grad_norm: 5.9275 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8459 loss: 1.8459 2022/06/29 23:51:08 - mmengine - INFO - Epoch(train) [32][2520/3757] lr: 1.000e-02 eta: 19:36:55 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 5.5772 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0903 loss: 2.0903 2022/06/29 23:51:12 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 23:51:14 - mmengine - INFO - Epoch(train) [32][2540/3757] lr: 1.000e-02 eta: 19:36:50 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 6.2364 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2453 loss: 2.2453 2022/06/29 23:51:19 - mmengine - INFO - Epoch(train) [32][2560/3757] lr: 1.000e-02 eta: 19:36:43 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 6.0998 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9622 loss: 1.9622 2022/06/29 23:51:24 - mmengine - INFO - Epoch(train) [32][2580/3757] lr: 1.000e-02 eta: 19:36:37 time: 0.258 data_time: 0.013 memory: 6404 grad_norm: 5.4441 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.1520 loss: 2.1520 2022/06/29 23:51:29 - mmengine - INFO - Epoch(train) [32][2600/3757] lr: 1.000e-02 eta: 19:36:31 time: 0.356 data_time: 0.008 memory: 6404 grad_norm: 6.2728 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9025 loss: 1.9025 2022/06/29 23:51:36 - mmengine - INFO - Epoch(train) [32][2620/3757] lr: 1.000e-02 eta: 19:36:28 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 5.1203 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4189 loss: 2.4189 2022/06/29 23:51:41 - mmengine - INFO - Epoch(train) [32][2640/3757] lr: 1.000e-02 eta: 19:36:22 time: 0.251 data_time: 0.023 memory: 6404 grad_norm: 5.8222 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2453 loss: 2.2453 2022/06/29 23:51:46 - mmengine - INFO - Epoch(train) [32][2660/3757] lr: 1.000e-02 eta: 19:36:16 time: 0.271 data_time: 0.014 memory: 6404 grad_norm: 5.1222 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8871 loss: 1.8871 2022/06/29 23:51:52 - mmengine - INFO - Epoch(train) [32][2680/3757] lr: 1.000e-02 eta: 19:36:11 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 6.1211 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.7989 loss: 1.7989 2022/06/29 23:51:57 - mmengine - INFO - Epoch(train) [32][2700/3757] lr: 1.000e-02 eta: 19:36:05 time: 0.245 data_time: 0.015 memory: 6404 grad_norm: 6.1196 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7806 loss: 1.7806 2022/06/29 23:52:03 - mmengine - INFO - Epoch(train) [32][2720/3757] lr: 1.000e-02 eta: 19:35:59 time: 0.273 data_time: 0.011 memory: 6404 grad_norm: 4.8347 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5880 loss: 1.5880 2022/06/29 23:52:10 - mmengine - INFO - Epoch(train) [32][2740/3757] lr: 1.000e-02 eta: 19:35:56 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.4686 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1366 loss: 2.1366 2022/06/29 23:52:15 - mmengine - INFO - Epoch(train) [32][2760/3757] lr: 1.000e-02 eta: 19:35:50 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.2135 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8869 loss: 1.8869 2022/06/29 23:52:20 - mmengine - INFO - Epoch(train) [32][2780/3757] lr: 1.000e-02 eta: 19:35:44 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 6.2266 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8296 loss: 1.8296 2022/06/29 23:52:25 - mmengine - INFO - Epoch(train) [32][2800/3757] lr: 1.000e-02 eta: 19:35:38 time: 0.251 data_time: 0.020 memory: 6404 grad_norm: 6.8124 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2777 loss: 2.2777 2022/06/29 23:52:30 - mmengine - INFO - Epoch(train) [32][2820/3757] lr: 1.000e-02 eta: 19:35:31 time: 0.296 data_time: 0.014 memory: 6404 grad_norm: 5.1876 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7438 loss: 1.7438 2022/06/29 23:52:36 - mmengine - INFO - Epoch(train) [32][2840/3757] lr: 1.000e-02 eta: 19:35:26 time: 0.436 data_time: 0.006 memory: 6404 grad_norm: 7.0047 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9595 loss: 1.9595 2022/06/29 23:52:41 - mmengine - INFO - Epoch(train) [32][2860/3757] lr: 1.000e-02 eta: 19:35:20 time: 0.243 data_time: 0.036 memory: 6404 grad_norm: 6.5976 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9809 loss: 1.9809 2022/06/29 23:52:47 - mmengine - INFO - Epoch(train) [32][2880/3757] lr: 1.000e-02 eta: 19:35:16 time: 0.285 data_time: 0.008 memory: 6404 grad_norm: 5.8877 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9309 loss: 1.9309 2022/06/29 23:52:53 - mmengine - INFO - Epoch(train) [32][2900/3757] lr: 1.000e-02 eta: 19:35:12 time: 0.265 data_time: 0.006 memory: 6404 grad_norm: 5.6527 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7909 loss: 1.7909 2022/06/29 23:52:59 - mmengine - INFO - Epoch(train) [32][2920/3757] lr: 1.000e-02 eta: 19:35:07 time: 0.253 data_time: 0.016 memory: 6404 grad_norm: 4.8057 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1456 loss: 2.1456 2022/06/29 23:53:04 - mmengine - INFO - Epoch(train) [32][2940/3757] lr: 1.000e-02 eta: 19:35:01 time: 0.242 data_time: 0.018 memory: 6404 grad_norm: 5.8448 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5860 loss: 1.5860 2022/06/29 23:53:10 - mmengine - INFO - Epoch(train) [32][2960/3757] lr: 1.000e-02 eta: 19:34:55 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.8587 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5488 loss: 1.5488 2022/06/29 23:53:15 - mmengine - INFO - Epoch(train) [32][2980/3757] lr: 1.000e-02 eta: 19:34:49 time: 0.243 data_time: 0.056 memory: 6404 grad_norm: 6.7954 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6337 loss: 1.6337 2022/06/29 23:53:20 - mmengine - INFO - Epoch(train) [32][3000/3757] lr: 1.000e-02 eta: 19:34:43 time: 0.344 data_time: 0.008 memory: 6404 grad_norm: 5.7939 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1515 loss: 2.1515 2022/06/29 23:53:26 - mmengine - INFO - Epoch(train) [32][3020/3757] lr: 1.000e-02 eta: 19:34:37 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 5.5006 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0337 loss: 2.0337 2022/06/29 23:53:31 - mmengine - INFO - Epoch(train) [32][3040/3757] lr: 1.000e-02 eta: 19:34:32 time: 0.285 data_time: 0.008 memory: 6404 grad_norm: 5.9773 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2981 loss: 2.2981 2022/06/29 23:53:37 - mmengine - INFO - Epoch(train) [32][3060/3757] lr: 1.000e-02 eta: 19:34:27 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 5.2279 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5521 loss: 1.5521 2022/06/29 23:53:42 - mmengine - INFO - Epoch(train) [32][3080/3757] lr: 1.000e-02 eta: 19:34:21 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 6.8749 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8521 loss: 1.8521 2022/06/29 23:53:48 - mmengine - INFO - Epoch(train) [32][3100/3757] lr: 1.000e-02 eta: 19:34:16 time: 0.266 data_time: 0.009 memory: 6404 grad_norm: 4.5817 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0013 loss: 2.0013 2022/06/29 23:53:53 - mmengine - INFO - Epoch(train) [32][3120/3757] lr: 1.000e-02 eta: 19:34:10 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.1808 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2927 loss: 2.2927 2022/06/29 23:54:00 - mmengine - INFO - Epoch(train) [32][3140/3757] lr: 1.000e-02 eta: 19:34:06 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.7400 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5374 loss: 1.5374 2022/06/29 23:54:05 - mmengine - INFO - Epoch(train) [32][3160/3757] lr: 1.000e-02 eta: 19:34:00 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.3892 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6401 loss: 1.6401 2022/06/29 23:54:10 - mmengine - INFO - Epoch(train) [32][3180/3757] lr: 1.000e-02 eta: 19:33:54 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 6.1928 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8806 loss: 1.8806 2022/06/29 23:54:16 - mmengine - INFO - Epoch(train) [32][3200/3757] lr: 1.000e-02 eta: 19:33:49 time: 0.237 data_time: 0.015 memory: 6404 grad_norm: 5.5960 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7473 loss: 1.7473 2022/06/29 23:54:22 - mmengine - INFO - Epoch(train) [32][3220/3757] lr: 1.000e-02 eta: 19:33:44 time: 0.257 data_time: 0.043 memory: 6404 grad_norm: 5.7916 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3677 loss: 2.3677 2022/06/29 23:54:27 - mmengine - INFO - Epoch(train) [32][3240/3757] lr: 1.000e-02 eta: 19:33:39 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.8873 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9379 loss: 1.9379 2022/06/29 23:54:33 - mmengine - INFO - Epoch(train) [32][3260/3757] lr: 1.000e-02 eta: 19:33:33 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 4.8065 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0165 loss: 2.0165 2022/06/29 23:54:38 - mmengine - INFO - Epoch(train) [32][3280/3757] lr: 1.000e-02 eta: 19:33:27 time: 0.274 data_time: 0.078 memory: 6404 grad_norm: 5.0686 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8385 loss: 1.8385 2022/06/29 23:54:43 - mmengine - INFO - Epoch(train) [32][3300/3757] lr: 1.000e-02 eta: 19:33:21 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.2613 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7004 loss: 1.7004 2022/06/29 23:54:49 - mmengine - INFO - Epoch(train) [32][3320/3757] lr: 1.000e-02 eta: 19:33:17 time: 0.279 data_time: 0.007 memory: 6404 grad_norm: 6.6619 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7815 loss: 1.7815 2022/06/29 23:54:55 - mmengine - INFO - Epoch(train) [32][3340/3757] lr: 1.000e-02 eta: 19:33:12 time: 0.280 data_time: 0.062 memory: 6404 grad_norm: 5.9043 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7183 loss: 1.7183 2022/06/29 23:55:00 - mmengine - INFO - Epoch(train) [32][3360/3757] lr: 1.000e-02 eta: 19:33:05 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 4.7896 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3093 loss: 2.3093 2022/06/29 23:55:06 - mmengine - INFO - Epoch(train) [32][3380/3757] lr: 1.000e-02 eta: 19:33:01 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.2388 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8730 loss: 1.8730 2022/06/29 23:55:12 - mmengine - INFO - Epoch(train) [32][3400/3757] lr: 1.000e-02 eta: 19:32:56 time: 0.413 data_time: 0.217 memory: 6404 grad_norm: 5.1694 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6751 loss: 1.6751 2022/06/29 23:55:17 - mmengine - INFO - Epoch(train) [32][3420/3757] lr: 1.000e-02 eta: 19:32:50 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 6.1526 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9753 loss: 1.9753 2022/06/29 23:55:24 - mmengine - INFO - Epoch(train) [32][3440/3757] lr: 1.000e-02 eta: 19:32:46 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 6.1747 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9295 loss: 1.9295 2022/06/29 23:55:29 - mmengine - INFO - Epoch(train) [32][3460/3757] lr: 1.000e-02 eta: 19:32:40 time: 0.252 data_time: 0.026 memory: 6404 grad_norm: 5.1096 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1663 loss: 2.1663 2022/06/29 23:55:34 - mmengine - INFO - Epoch(train) [32][3480/3757] lr: 1.000e-02 eta: 19:32:34 time: 0.235 data_time: 0.010 memory: 6404 grad_norm: 5.7085 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5242 loss: 1.5242 2022/06/29 23:55:39 - mmengine - INFO - Epoch(train) [32][3500/3757] lr: 1.000e-02 eta: 19:32:28 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 5.4078 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1263 loss: 2.1263 2022/06/29 23:55:44 - mmengine - INFO - Epoch(train) [32][3520/3757] lr: 1.000e-02 eta: 19:32:21 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 5.4503 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7267 loss: 1.7267 2022/06/29 23:55:48 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 23:55:50 - mmengine - INFO - Epoch(train) [32][3540/3757] lr: 1.000e-02 eta: 19:32:16 time: 0.549 data_time: 0.013 memory: 6404 grad_norm: 6.0170 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9443 loss: 1.9443 2022/06/29 23:55:56 - mmengine - INFO - Epoch(train) [32][3560/3757] lr: 1.000e-02 eta: 19:32:11 time: 0.260 data_time: 0.006 memory: 6404 grad_norm: 5.1965 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8144 loss: 1.8144 2022/06/29 23:56:01 - mmengine - INFO - Epoch(train) [32][3580/3757] lr: 1.000e-02 eta: 19:32:06 time: 0.253 data_time: 0.020 memory: 6404 grad_norm: 4.8297 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0181 loss: 2.0181 2022/06/29 23:56:07 - mmengine - INFO - Epoch(train) [32][3600/3757] lr: 1.000e-02 eta: 19:32:01 time: 0.673 data_time: 0.014 memory: 6404 grad_norm: 5.3366 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9485 loss: 1.9485 2022/06/29 23:56:13 - mmengine - INFO - Epoch(train) [32][3620/3757] lr: 1.000e-02 eta: 19:31:56 time: 0.247 data_time: 0.017 memory: 6404 grad_norm: 5.6544 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9656 loss: 1.9656 2022/06/29 23:56:18 - mmengine - INFO - Epoch(train) [32][3640/3757] lr: 1.000e-02 eta: 19:31:50 time: 0.248 data_time: 0.015 memory: 6404 grad_norm: 5.8808 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8590 loss: 1.8590 2022/06/29 23:56:24 - mmengine - INFO - Epoch(train) [32][3660/3757] lr: 1.000e-02 eta: 19:31:44 time: 0.486 data_time: 0.009 memory: 6404 grad_norm: 6.0107 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6987 loss: 1.6987 2022/06/29 23:56:29 - mmengine - INFO - Epoch(train) [32][3680/3757] lr: 1.000e-02 eta: 19:31:39 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 5.6115 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3339 loss: 2.3339 2022/06/29 23:56:35 - mmengine - INFO - Epoch(train) [32][3700/3757] lr: 1.000e-02 eta: 19:31:33 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 4.9376 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1140 loss: 2.1140 2022/06/29 23:56:41 - mmengine - INFO - Epoch(train) [32][3720/3757] lr: 1.000e-02 eta: 19:31:29 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.9323 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5482 loss: 1.5482 2022/06/29 23:56:46 - mmengine - INFO - Epoch(train) [32][3740/3757] lr: 1.000e-02 eta: 19:31:23 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.6613 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8508 loss: 1.8508 2022/06/29 23:56:50 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/29 23:56:57 - mmengine - INFO - Epoch(val) [32][20/310] eta: 0:01:21 time: 0.083 data_time: 0.005 memory: 6404 2022/06/29 23:57:03 - mmengine - INFO - Epoch(val) [32][40/310] eta: 0:01:19 time: 0.122 data_time: 0.051 memory: 1479 2022/06/29 23:57:07 - mmengine - INFO - Epoch(val) [32][60/310] eta: 0:00:24 time: 0.102 data_time: 0.010 memory: 1479 2022/06/29 23:57:13 - mmengine - INFO - Epoch(val) [32][80/310] eta: 0:01:12 time: 0.093 data_time: 0.006 memory: 1479 2022/06/29 23:57:19 - mmengine - INFO - Epoch(val) [32][100/310] eta: 0:01:01 time: 0.622 data_time: 0.538 memory: 1479 2022/06/29 23:57:23 - mmengine - INFO - Epoch(val) [32][120/310] eta: 0:00:25 time: 0.096 data_time: 0.011 memory: 1479 2022/06/29 23:57:30 - mmengine - INFO - Epoch(val) [32][140/310] eta: 0:00:52 time: 0.089 data_time: 0.008 memory: 1479 2022/06/29 23:57:36 - mmengine - INFO - Epoch(val) [32][160/310] eta: 0:00:47 time: 1.644 data_time: 1.571 memory: 1479 2022/06/29 23:57:40 - mmengine - INFO - Epoch(val) [32][180/310] eta: 0:00:34 time: 0.081 data_time: 0.006 memory: 1479 2022/06/29 23:57:46 - mmengine - INFO - Epoch(val) [32][200/310] eta: 0:00:33 time: 0.077 data_time: 0.005 memory: 1479 2022/06/29 23:57:51 - mmengine - INFO - Epoch(val) [32][220/310] eta: 0:00:26 time: 1.230 data_time: 1.141 memory: 1479 2022/06/29 23:57:55 - mmengine - INFO - Epoch(val) [32][240/310] eta: 0:00:17 time: 0.097 data_time: 0.014 memory: 1479 2022/06/29 23:58:01 - mmengine - INFO - Epoch(val) [32][260/310] eta: 0:00:15 time: 0.086 data_time: 0.014 memory: 1479 2022/06/29 23:58:08 - mmengine - INFO - Epoch(val) [32][280/310] eta: 0:00:09 time: 1.228 data_time: 1.133 memory: 1479 2022/06/29 23:58:11 - mmengine - INFO - Epoch(val) [32][300/310] eta: 0:00:02 time: 0.085 data_time: 0.006 memory: 1479 2022/06/29 23:58:14 - mmengine - INFO - Epoch(val) [32][310/310] acc/top1: 0.5683 acc/top5: 0.8059 acc/mean1: 0.5682 2022/06/29 23:58:24 - mmengine - INFO - Epoch(train) [33][20/3757] lr: 1.000e-02 eta: 19:31:16 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.5094 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5752 loss: 1.5752 2022/06/29 23:58:29 - mmengine - INFO - Epoch(train) [33][40/3757] lr: 1.000e-02 eta: 19:31:11 time: 0.266 data_time: 0.013 memory: 6404 grad_norm: 5.2491 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7453 loss: 1.7453 2022/06/29 23:58:35 - mmengine - INFO - Epoch(train) [33][60/3757] lr: 1.000e-02 eta: 19:31:07 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.2420 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7751 loss: 1.7751 2022/06/29 23:58:40 - mmengine - INFO - Epoch(train) [33][80/3757] lr: 1.000e-02 eta: 19:31:00 time: 0.248 data_time: 0.013 memory: 6404 grad_norm: 6.6700 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8517 loss: 1.8517 2022/06/29 23:58:46 - mmengine - INFO - Epoch(train) [33][100/3757] lr: 1.000e-02 eta: 19:30:54 time: 0.266 data_time: 0.012 memory: 6404 grad_norm: 5.7033 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.9348 loss: 1.9348 2022/06/29 23:58:51 - mmengine - INFO - Epoch(train) [33][120/3757] lr: 1.000e-02 eta: 19:30:49 time: 0.293 data_time: 0.012 memory: 6404 grad_norm: 6.0658 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8050 loss: 1.8050 2022/06/29 23:58:57 - mmengine - INFO - Epoch(train) [33][140/3757] lr: 1.000e-02 eta: 19:30:43 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 6.3590 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9189 loss: 1.9189 2022/06/29 23:59:02 - mmengine - INFO - Epoch(train) [33][160/3757] lr: 1.000e-02 eta: 19:30:38 time: 0.402 data_time: 0.009 memory: 6404 grad_norm: 6.0198 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8386 loss: 1.8386 2022/06/29 23:59:08 - mmengine - INFO - Epoch(train) [33][180/3757] lr: 1.000e-02 eta: 19:30:33 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 5.1198 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9657 loss: 1.9657 2022/06/29 23:59:14 - mmengine - INFO - Epoch(train) [33][200/3757] lr: 1.000e-02 eta: 19:30:28 time: 0.284 data_time: 0.006 memory: 6404 grad_norm: 6.0689 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2540 loss: 2.2540 2022/06/29 23:59:19 - mmengine - INFO - Epoch(train) [33][220/3757] lr: 1.000e-02 eta: 19:30:22 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 6.3820 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7321 loss: 1.7321 2022/06/29 23:59:24 - mmengine - INFO - Epoch(train) [33][240/3757] lr: 1.000e-02 eta: 19:30:16 time: 0.274 data_time: 0.010 memory: 6404 grad_norm: 5.7270 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8535 loss: 1.8535 2022/06/29 23:59:30 - mmengine - INFO - Epoch(train) [33][260/3757] lr: 1.000e-02 eta: 19:30:11 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.8833 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1355 loss: 2.1355 2022/06/29 23:59:36 - mmengine - INFO - Epoch(train) [33][280/3757] lr: 1.000e-02 eta: 19:30:06 time: 0.244 data_time: 0.013 memory: 6404 grad_norm: 6.2192 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2173 loss: 2.2173 2022/06/29 23:59:41 - mmengine - INFO - Epoch(train) [33][300/3757] lr: 1.000e-02 eta: 19:29:59 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 5.3453 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9078 loss: 1.9078 2022/06/29 23:59:47 - mmengine - INFO - Epoch(train) [33][320/3757] lr: 1.000e-02 eta: 19:29:56 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 4.7617 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0143 loss: 2.0143 2022/06/29 23:59:52 - mmengine - INFO - Epoch(train) [33][340/3757] lr: 1.000e-02 eta: 19:29:50 time: 0.262 data_time: 0.023 memory: 6404 grad_norm: 5.3958 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9179 loss: 1.9179 2022/06/29 23:59:58 - mmengine - INFO - Epoch(train) [33][360/3757] lr: 1.000e-02 eta: 19:29:43 time: 0.254 data_time: 0.015 memory: 6404 grad_norm: 5.3801 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8282 loss: 1.8282 2022/06/30 00:00:03 - mmengine - INFO - Epoch(train) [33][380/3757] lr: 1.000e-02 eta: 19:29:37 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 6.6056 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1532 loss: 2.1532 2022/06/30 00:00:09 - mmengine - INFO - Epoch(train) [33][400/3757] lr: 1.000e-02 eta: 19:29:34 time: 0.262 data_time: 0.020 memory: 6404 grad_norm: 5.5679 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7751 loss: 1.7751 2022/06/30 00:00:15 - mmengine - INFO - Epoch(train) [33][420/3757] lr: 1.000e-02 eta: 19:29:29 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 6.0352 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8425 loss: 1.8425 2022/06/30 00:00:21 - mmengine - INFO - Epoch(train) [33][440/3757] lr: 1.000e-02 eta: 19:29:23 time: 0.247 data_time: 0.017 memory: 6404 grad_norm: 5.9520 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6553 loss: 1.6553 2022/06/30 00:00:26 - mmengine - INFO - Epoch(train) [33][460/3757] lr: 1.000e-02 eta: 19:29:18 time: 0.259 data_time: 0.023 memory: 6404 grad_norm: 5.2229 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0465 loss: 2.0465 2022/06/30 00:00:32 - mmengine - INFO - Epoch(train) [33][480/3757] lr: 1.000e-02 eta: 19:29:12 time: 0.265 data_time: 0.011 memory: 6404 grad_norm: 5.4203 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9561 loss: 1.9561 2022/06/30 00:00:37 - mmengine - INFO - Epoch(train) [33][500/3757] lr: 1.000e-02 eta: 19:29:07 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 6.2505 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1710 loss: 2.1710 2022/06/30 00:00:43 - mmengine - INFO - Epoch(train) [33][520/3757] lr: 1.000e-02 eta: 19:29:02 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 6.0487 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7557 loss: 1.7557 2022/06/30 00:00:48 - mmengine - INFO - Epoch(train) [33][540/3757] lr: 1.000e-02 eta: 19:28:55 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 5.3013 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6653 loss: 1.6653 2022/06/30 00:00:53 - mmengine - INFO - Epoch(train) [33][560/3757] lr: 1.000e-02 eta: 19:28:50 time: 0.243 data_time: 0.019 memory: 6404 grad_norm: 5.3024 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8352 loss: 1.8352 2022/06/30 00:00:59 - mmengine - INFO - Epoch(train) [33][580/3757] lr: 1.000e-02 eta: 19:28:45 time: 0.247 data_time: 0.013 memory: 6404 grad_norm: 6.2744 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9208 loss: 1.9208 2022/06/30 00:01:05 - mmengine - INFO - Epoch(train) [33][600/3757] lr: 1.000e-02 eta: 19:28:40 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 4.8607 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4620 loss: 1.4620 2022/06/30 00:01:11 - mmengine - INFO - Epoch(train) [33][620/3757] lr: 1.000e-02 eta: 19:28:35 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.9338 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1783 loss: 2.1783 2022/06/30 00:01:16 - mmengine - INFO - Epoch(train) [33][640/3757] lr: 1.000e-02 eta: 19:28:30 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 5.0746 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1124 loss: 2.1124 2022/06/30 00:01:23 - mmengine - INFO - Epoch(train) [33][660/3757] lr: 1.000e-02 eta: 19:28:26 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.8302 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7011 loss: 1.7011 2022/06/30 00:01:28 - mmengine - INFO - Epoch(train) [33][680/3757] lr: 1.000e-02 eta: 19:28:20 time: 0.287 data_time: 0.007 memory: 6404 grad_norm: 5.5290 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2586 loss: 2.2586 2022/06/30 00:01:33 - mmengine - INFO - Epoch(train) [33][700/3757] lr: 1.000e-02 eta: 19:28:14 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 5.9726 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2630 loss: 2.2630 2022/06/30 00:01:38 - mmengine - INFO - Epoch(train) [33][720/3757] lr: 1.000e-02 eta: 19:28:07 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 6.1689 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2163 loss: 2.2163 2022/06/30 00:01:44 - mmengine - INFO - Epoch(train) [33][740/3757] lr: 1.000e-02 eta: 19:28:02 time: 0.244 data_time: 0.016 memory: 6404 grad_norm: 5.9912 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5631 loss: 2.5631 2022/06/30 00:01:49 - mmengine - INFO - Epoch(train) [33][760/3757] lr: 1.000e-02 eta: 19:27:56 time: 0.275 data_time: 0.008 memory: 6404 grad_norm: 5.6493 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3935 loss: 2.3935 2022/06/30 00:01:54 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 00:01:55 - mmengine - INFO - Epoch(train) [33][780/3757] lr: 1.000e-02 eta: 19:27:51 time: 0.297 data_time: 0.007 memory: 6404 grad_norm: 6.2690 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8306 loss: 1.8306 2022/06/30 00:02:01 - mmengine - INFO - Epoch(train) [33][800/3757] lr: 1.000e-02 eta: 19:27:47 time: 0.261 data_time: 0.020 memory: 6404 grad_norm: 5.8824 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9731 loss: 1.9731 2022/06/30 00:02:06 - mmengine - INFO - Epoch(train) [33][820/3757] lr: 1.000e-02 eta: 19:27:41 time: 0.245 data_time: 0.009 memory: 6404 grad_norm: 5.7068 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8625 loss: 1.8625 2022/06/30 00:02:12 - mmengine - INFO - Epoch(train) [33][840/3757] lr: 1.000e-02 eta: 19:27:35 time: 0.263 data_time: 0.006 memory: 6404 grad_norm: 5.0739 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8366 loss: 1.8366 2022/06/30 00:02:17 - mmengine - INFO - Epoch(train) [33][860/3757] lr: 1.000e-02 eta: 19:27:29 time: 0.238 data_time: 0.017 memory: 6404 grad_norm: 5.9220 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8171 loss: 1.8171 2022/06/30 00:02:22 - mmengine - INFO - Epoch(train) [33][880/3757] lr: 1.000e-02 eta: 19:27:23 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 5.6227 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7443 loss: 1.7443 2022/06/30 00:02:28 - mmengine - INFO - Epoch(train) [33][900/3757] lr: 1.000e-02 eta: 19:27:18 time: 0.260 data_time: 0.012 memory: 6404 grad_norm: 5.7866 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2975 loss: 2.2975 2022/06/30 00:02:33 - mmengine - INFO - Epoch(train) [33][920/3757] lr: 1.000e-02 eta: 19:27:13 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.7688 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1899 loss: 2.1899 2022/06/30 00:02:40 - mmengine - INFO - Epoch(train) [33][940/3757] lr: 1.000e-02 eta: 19:27:08 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.8654 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9072 loss: 1.9072 2022/06/30 00:02:45 - mmengine - INFO - Epoch(train) [33][960/3757] lr: 1.000e-02 eta: 19:27:02 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 5.1592 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9397 loss: 1.9397 2022/06/30 00:02:50 - mmengine - INFO - Epoch(train) [33][980/3757] lr: 1.000e-02 eta: 19:26:56 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.0591 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9025 loss: 1.9025 2022/06/30 00:02:55 - mmengine - INFO - Epoch(train) [33][1000/3757] lr: 1.000e-02 eta: 19:26:50 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 5.3206 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7293 loss: 1.7293 2022/06/30 00:03:01 - mmengine - INFO - Epoch(train) [33][1020/3757] lr: 1.000e-02 eta: 19:26:44 time: 0.264 data_time: 0.010 memory: 6404 grad_norm: 5.1004 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7001 loss: 1.7001 2022/06/30 00:03:06 - mmengine - INFO - Epoch(train) [33][1040/3757] lr: 1.000e-02 eta: 19:26:38 time: 0.249 data_time: 0.014 memory: 6404 grad_norm: 5.9565 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6302 loss: 1.6302 2022/06/30 00:03:12 - mmengine - INFO - Epoch(train) [33][1060/3757] lr: 1.000e-02 eta: 19:26:34 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.1096 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0065 loss: 2.0065 2022/06/30 00:03:18 - mmengine - INFO - Epoch(train) [33][1080/3757] lr: 1.000e-02 eta: 19:26:29 time: 0.296 data_time: 0.007 memory: 6404 grad_norm: 4.9411 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8752 loss: 1.8752 2022/06/30 00:03:23 - mmengine - INFO - Epoch(train) [33][1100/3757] lr: 1.000e-02 eta: 19:26:24 time: 0.263 data_time: 0.009 memory: 6404 grad_norm: 6.7362 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7073 loss: 1.7073 2022/06/30 00:03:29 - mmengine - INFO - Epoch(train) [33][1120/3757] lr: 1.000e-02 eta: 19:26:17 time: 0.246 data_time: 0.020 memory: 6404 grad_norm: 6.7090 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0594 loss: 2.0594 2022/06/30 00:03:34 - mmengine - INFO - Epoch(train) [33][1140/3757] lr: 1.000e-02 eta: 19:26:12 time: 0.263 data_time: 0.006 memory: 6404 grad_norm: 6.2010 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5319 loss: 1.5319 2022/06/30 00:03:40 - mmengine - INFO - Epoch(train) [33][1160/3757] lr: 1.000e-02 eta: 19:26:07 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 6.7311 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7448 loss: 1.7448 2022/06/30 00:03:46 - mmengine - INFO - Epoch(train) [33][1180/3757] lr: 1.000e-02 eta: 19:26:02 time: 0.240 data_time: 0.016 memory: 6404 grad_norm: 5.7735 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6579 loss: 1.6579 2022/06/30 00:03:51 - mmengine - INFO - Epoch(train) [33][1200/3757] lr: 1.000e-02 eta: 19:25:57 time: 0.771 data_time: 0.009 memory: 6404 grad_norm: 5.3748 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0155 loss: 2.0155 2022/06/30 00:03:57 - mmengine - INFO - Epoch(train) [33][1220/3757] lr: 1.000e-02 eta: 19:25:51 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 5.6127 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6996 loss: 1.6996 2022/06/30 00:04:03 - mmengine - INFO - Epoch(train) [33][1240/3757] lr: 1.000e-02 eta: 19:25:47 time: 0.255 data_time: 0.066 memory: 6404 grad_norm: 5.1060 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7923 loss: 1.7923 2022/06/30 00:04:08 - mmengine - INFO - Epoch(train) [33][1260/3757] lr: 1.000e-02 eta: 19:25:41 time: 0.255 data_time: 0.027 memory: 6404 grad_norm: 5.6242 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6725 loss: 1.6725 2022/06/30 00:04:13 - mmengine - INFO - Epoch(train) [33][1280/3757] lr: 1.000e-02 eta: 19:25:35 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 5.1489 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9945 loss: 1.9945 2022/06/30 00:04:18 - mmengine - INFO - Epoch(train) [33][1300/3757] lr: 1.000e-02 eta: 19:25:28 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 5.0696 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0710 loss: 2.0710 2022/06/30 00:04:24 - mmengine - INFO - Epoch(train) [33][1320/3757] lr: 1.000e-02 eta: 19:25:24 time: 0.286 data_time: 0.012 memory: 6404 grad_norm: 5.4724 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0886 loss: 2.0886 2022/06/30 00:04:29 - mmengine - INFO - Epoch(train) [33][1340/3757] lr: 1.000e-02 eta: 19:25:17 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 4.8448 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9997 loss: 1.9997 2022/06/30 00:04:35 - mmengine - INFO - Epoch(train) [33][1360/3757] lr: 1.000e-02 eta: 19:25:12 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 6.1875 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0475 loss: 2.0475 2022/06/30 00:04:41 - mmengine - INFO - Epoch(train) [33][1380/3757] lr: 1.000e-02 eta: 19:25:07 time: 0.338 data_time: 0.007 memory: 6404 grad_norm: 5.9752 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9005 loss: 1.9005 2022/06/30 00:04:46 - mmengine - INFO - Epoch(train) [33][1400/3757] lr: 1.000e-02 eta: 19:25:02 time: 0.241 data_time: 0.008 memory: 6404 grad_norm: 5.8734 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7519 loss: 1.7519 2022/06/30 00:04:52 - mmengine - INFO - Epoch(train) [33][1420/3757] lr: 1.000e-02 eta: 19:24:56 time: 0.281 data_time: 0.067 memory: 6404 grad_norm: 5.8062 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6112 loss: 1.6112 2022/06/30 00:04:57 - mmengine - INFO - Epoch(train) [33][1440/3757] lr: 1.000e-02 eta: 19:24:51 time: 0.652 data_time: 0.012 memory: 6404 grad_norm: 6.3140 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7453 loss: 1.7453 2022/06/30 00:05:03 - mmengine - INFO - Epoch(train) [33][1460/3757] lr: 1.000e-02 eta: 19:24:45 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.0554 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5570 loss: 1.5570 2022/06/30 00:05:09 - mmengine - INFO - Epoch(train) [33][1480/3757] lr: 1.000e-02 eta: 19:24:41 time: 0.265 data_time: 0.016 memory: 6404 grad_norm: 5.9882 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2418 loss: 2.2418 2022/06/30 00:05:14 - mmengine - INFO - Epoch(train) [33][1500/3757] lr: 1.000e-02 eta: 19:24:35 time: 0.283 data_time: 0.007 memory: 6404 grad_norm: 5.6900 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2043 loss: 2.2043 2022/06/30 00:05:20 - mmengine - INFO - Epoch(train) [33][1520/3757] lr: 1.000e-02 eta: 19:24:30 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.0551 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8083 loss: 1.8083 2022/06/30 00:05:26 - mmengine - INFO - Epoch(train) [33][1540/3757] lr: 1.000e-02 eta: 19:24:25 time: 0.313 data_time: 0.081 memory: 6404 grad_norm: 5.1454 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2668 loss: 2.2668 2022/06/30 00:05:31 - mmengine - INFO - Epoch(train) [33][1560/3757] lr: 1.000e-02 eta: 19:24:19 time: 0.285 data_time: 0.009 memory: 6404 grad_norm: 6.1886 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8768 loss: 1.8768 2022/06/30 00:05:37 - mmengine - INFO - Epoch(train) [33][1580/3757] lr: 1.000e-02 eta: 19:24:13 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 5.6375 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8287 loss: 1.8287 2022/06/30 00:05:42 - mmengine - INFO - Epoch(train) [33][1600/3757] lr: 1.000e-02 eta: 19:24:08 time: 0.235 data_time: 0.011 memory: 6404 grad_norm: 5.5778 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4144 loss: 2.4144 2022/06/30 00:05:48 - mmengine - INFO - Epoch(train) [33][1620/3757] lr: 1.000e-02 eta: 19:24:03 time: 0.510 data_time: 0.019 memory: 6404 grad_norm: 5.6998 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8075 loss: 1.8075 2022/06/30 00:05:55 - mmengine - INFO - Epoch(train) [33][1640/3757] lr: 1.000e-02 eta: 19:24:00 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 6.4542 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7993 loss: 1.7993 2022/06/30 00:06:00 - mmengine - INFO - Epoch(train) [33][1660/3757] lr: 1.000e-02 eta: 19:23:54 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.5103 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8099 loss: 1.8099 2022/06/30 00:06:05 - mmengine - INFO - Epoch(train) [33][1680/3757] lr: 1.000e-02 eta: 19:23:48 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 6.3293 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8592 loss: 1.8592 2022/06/30 00:06:10 - mmengine - INFO - Epoch(train) [33][1700/3757] lr: 1.000e-02 eta: 19:23:41 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 5.2221 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9752 loss: 1.9752 2022/06/30 00:06:15 - mmengine - INFO - Epoch(train) [33][1720/3757] lr: 1.000e-02 eta: 19:23:35 time: 0.256 data_time: 0.013 memory: 6404 grad_norm: 5.9938 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3683 loss: 1.3683 2022/06/30 00:06:20 - mmengine - INFO - Epoch(train) [33][1740/3757] lr: 1.000e-02 eta: 19:23:29 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.5905 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7358 loss: 1.7358 2022/06/30 00:06:25 - mmengine - INFO - Epoch(train) [33][1760/3757] lr: 1.000e-02 eta: 19:23:22 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.8730 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6738 loss: 1.6738 2022/06/30 00:06:30 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 00:06:31 - mmengine - INFO - Epoch(train) [33][1780/3757] lr: 1.000e-02 eta: 19:23:17 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.7127 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9399 loss: 1.9399 2022/06/30 00:06:37 - mmengine - INFO - Epoch(train) [33][1800/3757] lr: 1.000e-02 eta: 19:23:12 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 6.1446 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9814 loss: 1.9814 2022/06/30 00:06:42 - mmengine - INFO - Epoch(train) [33][1820/3757] lr: 1.000e-02 eta: 19:23:07 time: 0.242 data_time: 0.008 memory: 6404 grad_norm: 5.4183 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0286 loss: 2.0286 2022/06/30 00:06:48 - mmengine - INFO - Epoch(train) [33][1840/3757] lr: 1.000e-02 eta: 19:23:02 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.8126 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9502 loss: 1.9502 2022/06/30 00:06:53 - mmengine - INFO - Epoch(train) [33][1860/3757] lr: 1.000e-02 eta: 19:22:56 time: 0.242 data_time: 0.008 memory: 6404 grad_norm: 4.8447 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6382 loss: 1.6382 2022/06/30 00:06:59 - mmengine - INFO - Epoch(train) [33][1880/3757] lr: 1.000e-02 eta: 19:22:51 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.4268 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7240 loss: 1.7240 2022/06/30 00:07:05 - mmengine - INFO - Epoch(train) [33][1900/3757] lr: 1.000e-02 eta: 19:22:45 time: 0.266 data_time: 0.008 memory: 6404 grad_norm: 5.7693 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0054 loss: 2.0054 2022/06/30 00:07:10 - mmengine - INFO - Epoch(train) [33][1920/3757] lr: 1.000e-02 eta: 19:22:40 time: 0.609 data_time: 0.008 memory: 6404 grad_norm: 5.0986 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9313 loss: 1.9313 2022/06/30 00:07:16 - mmengine - INFO - Epoch(train) [33][1940/3757] lr: 1.000e-02 eta: 19:22:34 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 5.5241 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7813 loss: 1.7813 2022/06/30 00:07:21 - mmengine - INFO - Epoch(train) [33][1960/3757] lr: 1.000e-02 eta: 19:22:29 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 6.4194 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9155 loss: 1.9155 2022/06/30 00:07:27 - mmengine - INFO - Epoch(train) [33][1980/3757] lr: 1.000e-02 eta: 19:22:24 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 6.2551 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9995 loss: 1.9995 2022/06/30 00:07:32 - mmengine - INFO - Epoch(train) [33][2000/3757] lr: 1.000e-02 eta: 19:22:18 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 5.9835 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9528 loss: 1.9528 2022/06/30 00:07:38 - mmengine - INFO - Epoch(train) [33][2020/3757] lr: 1.000e-02 eta: 19:22:13 time: 0.246 data_time: 0.015 memory: 6404 grad_norm: 5.8395 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0278 loss: 2.0278 2022/06/30 00:07:44 - mmengine - INFO - Epoch(train) [33][2040/3757] lr: 1.000e-02 eta: 19:22:09 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 5.6185 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1237 loss: 2.1237 2022/06/30 00:07:50 - mmengine - INFO - Epoch(train) [33][2060/3757] lr: 1.000e-02 eta: 19:22:03 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 5.6121 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6526 loss: 1.6526 2022/06/30 00:07:55 - mmengine - INFO - Epoch(train) [33][2080/3757] lr: 1.000e-02 eta: 19:21:57 time: 0.244 data_time: 0.014 memory: 6404 grad_norm: 5.0428 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8464 loss: 1.8464 2022/06/30 00:08:00 - mmengine - INFO - Epoch(train) [33][2100/3757] lr: 1.000e-02 eta: 19:21:51 time: 0.249 data_time: 0.014 memory: 6404 grad_norm: 5.7410 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0903 loss: 2.0903 2022/06/30 00:08:06 - mmengine - INFO - Epoch(train) [33][2120/3757] lr: 1.000e-02 eta: 19:21:46 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.9910 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4570 loss: 1.4570 2022/06/30 00:08:11 - mmengine - INFO - Epoch(train) [33][2140/3757] lr: 1.000e-02 eta: 19:21:40 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.3210 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7283 loss: 1.7283 2022/06/30 00:08:17 - mmengine - INFO - Epoch(train) [33][2160/3757] lr: 1.000e-02 eta: 19:21:34 time: 0.247 data_time: 0.017 memory: 6404 grad_norm: 6.2651 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1440 loss: 2.1440 2022/06/30 00:08:22 - mmengine - INFO - Epoch(train) [33][2180/3757] lr: 1.000e-02 eta: 19:21:29 time: 0.279 data_time: 0.009 memory: 6404 grad_norm: 5.5062 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9082 loss: 1.9082 2022/06/30 00:08:27 - mmengine - INFO - Epoch(train) [33][2200/3757] lr: 1.000e-02 eta: 19:21:23 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 5.5692 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3575 loss: 2.3575 2022/06/30 00:08:32 - mmengine - INFO - Epoch(train) [33][2220/3757] lr: 1.000e-02 eta: 19:21:16 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.7954 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7688 loss: 1.7688 2022/06/30 00:08:38 - mmengine - INFO - Epoch(train) [33][2240/3757] lr: 1.000e-02 eta: 19:21:10 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 5.3616 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6605 loss: 1.6605 2022/06/30 00:08:43 - mmengine - INFO - Epoch(train) [33][2260/3757] lr: 1.000e-02 eta: 19:21:05 time: 0.256 data_time: 0.017 memory: 6404 grad_norm: 6.2471 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4807 loss: 2.4807 2022/06/30 00:08:49 - mmengine - INFO - Epoch(train) [33][2280/3757] lr: 1.000e-02 eta: 19:20:59 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 6.4053 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6557 loss: 1.6557 2022/06/30 00:08:54 - mmengine - INFO - Epoch(train) [33][2300/3757] lr: 1.000e-02 eta: 19:20:54 time: 0.266 data_time: 0.006 memory: 6404 grad_norm: 5.3541 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7193 loss: 1.7193 2022/06/30 00:09:00 - mmengine - INFO - Epoch(train) [33][2320/3757] lr: 1.000e-02 eta: 19:20:48 time: 0.338 data_time: 0.018 memory: 6404 grad_norm: 6.0733 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8999 loss: 1.8999 2022/06/30 00:09:05 - mmengine - INFO - Epoch(train) [33][2340/3757] lr: 1.000e-02 eta: 19:20:43 time: 0.295 data_time: 0.008 memory: 6404 grad_norm: 6.1070 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6435 loss: 1.6435 2022/06/30 00:09:11 - mmengine - INFO - Epoch(train) [33][2360/3757] lr: 1.000e-02 eta: 19:20:37 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 6.0821 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7267 loss: 1.7267 2022/06/30 00:09:16 - mmengine - INFO - Epoch(train) [33][2380/3757] lr: 1.000e-02 eta: 19:20:32 time: 0.274 data_time: 0.009 memory: 6404 grad_norm: 5.6783 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8130 loss: 1.8130 2022/06/30 00:09:21 - mmengine - INFO - Epoch(train) [33][2400/3757] lr: 1.000e-02 eta: 19:20:25 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 6.3323 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7322 loss: 1.7322 2022/06/30 00:09:27 - mmengine - INFO - Epoch(train) [33][2420/3757] lr: 1.000e-02 eta: 19:20:21 time: 0.240 data_time: 0.010 memory: 6404 grad_norm: 5.4614 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7936 loss: 1.7936 2022/06/30 00:09:33 - mmengine - INFO - Epoch(train) [33][2440/3757] lr: 1.000e-02 eta: 19:20:16 time: 0.276 data_time: 0.008 memory: 6404 grad_norm: 5.5448 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.6926 loss: 1.6926 2022/06/30 00:09:38 - mmengine - INFO - Epoch(train) [33][2460/3757] lr: 1.000e-02 eta: 19:20:10 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 6.6167 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7792 loss: 1.7792 2022/06/30 00:09:44 - mmengine - INFO - Epoch(train) [33][2480/3757] lr: 1.000e-02 eta: 19:20:05 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.4434 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4250 loss: 2.4250 2022/06/30 00:09:49 - mmengine - INFO - Epoch(train) [33][2500/3757] lr: 1.000e-02 eta: 19:19:59 time: 0.264 data_time: 0.012 memory: 6404 grad_norm: 5.7044 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5527 loss: 1.5527 2022/06/30 00:09:55 - mmengine - INFO - Epoch(train) [33][2520/3757] lr: 1.000e-02 eta: 19:19:53 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 6.2012 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8547 loss: 1.8547 2022/06/30 00:10:00 - mmengine - INFO - Epoch(train) [33][2540/3757] lr: 1.000e-02 eta: 19:19:46 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 4.8021 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5945 loss: 1.5945 2022/06/30 00:10:05 - mmengine - INFO - Epoch(train) [33][2560/3757] lr: 1.000e-02 eta: 19:19:41 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 5.5814 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0694 loss: 2.0694 2022/06/30 00:10:11 - mmengine - INFO - Epoch(train) [33][2580/3757] lr: 1.000e-02 eta: 19:19:36 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 5.8306 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7595 loss: 1.7595 2022/06/30 00:10:17 - mmengine - INFO - Epoch(train) [33][2600/3757] lr: 1.000e-02 eta: 19:19:31 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 6.2084 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9473 loss: 1.9473 2022/06/30 00:10:23 - mmengine - INFO - Epoch(train) [33][2620/3757] lr: 1.000e-02 eta: 19:19:27 time: 0.264 data_time: 0.009 memory: 6404 grad_norm: 6.5151 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1410 loss: 2.1410 2022/06/30 00:10:28 - mmengine - INFO - Epoch(train) [33][2640/3757] lr: 1.000e-02 eta: 19:19:20 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 5.6915 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9086 loss: 1.9086 2022/06/30 00:10:33 - mmengine - INFO - Epoch(train) [33][2660/3757] lr: 1.000e-02 eta: 19:19:14 time: 0.249 data_time: 0.014 memory: 6404 grad_norm: 5.5819 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1800 loss: 2.1800 2022/06/30 00:10:38 - mmengine - INFO - Epoch(train) [33][2680/3757] lr: 1.000e-02 eta: 19:19:08 time: 0.287 data_time: 0.012 memory: 6404 grad_norm: 5.8780 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9839 loss: 1.9839 2022/06/30 00:10:44 - mmengine - INFO - Epoch(train) [33][2700/3757] lr: 1.000e-02 eta: 19:19:02 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 6.4130 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9577 loss: 1.9577 2022/06/30 00:10:49 - mmengine - INFO - Epoch(train) [33][2720/3757] lr: 1.000e-02 eta: 19:18:56 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.1165 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8982 loss: 1.8982 2022/06/30 00:10:54 - mmengine - INFO - Epoch(train) [33][2740/3757] lr: 1.000e-02 eta: 19:18:49 time: 0.249 data_time: 0.022 memory: 6404 grad_norm: 5.1784 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8897 loss: 1.8897 2022/06/30 00:11:00 - mmengine - INFO - Epoch(train) [33][2760/3757] lr: 1.000e-02 eta: 19:18:44 time: 0.268 data_time: 0.008 memory: 6404 grad_norm: 6.0097 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7988 loss: 1.7988 2022/06/30 00:11:04 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 00:11:05 - mmengine - INFO - Epoch(train) [33][2780/3757] lr: 1.000e-02 eta: 19:18:39 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.8381 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7855 loss: 1.7855 2022/06/30 00:11:11 - mmengine - INFO - Epoch(train) [33][2800/3757] lr: 1.000e-02 eta: 19:18:33 time: 0.252 data_time: 0.021 memory: 6404 grad_norm: 5.2903 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9147 loss: 1.9147 2022/06/30 00:11:16 - mmengine - INFO - Epoch(train) [33][2820/3757] lr: 1.000e-02 eta: 19:18:28 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.2202 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0001 loss: 2.0001 2022/06/30 00:11:22 - mmengine - INFO - Epoch(train) [33][2840/3757] lr: 1.000e-02 eta: 19:18:23 time: 0.244 data_time: 0.009 memory: 6404 grad_norm: 5.8806 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0174 loss: 2.0174 2022/06/30 00:11:27 - mmengine - INFO - Epoch(train) [33][2860/3757] lr: 1.000e-02 eta: 19:18:17 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 6.9110 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0437 loss: 2.0437 2022/06/30 00:11:33 - mmengine - INFO - Epoch(train) [33][2880/3757] lr: 1.000e-02 eta: 19:18:12 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.6696 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8423 loss: 1.8423 2022/06/30 00:11:38 - mmengine - INFO - Epoch(train) [33][2900/3757] lr: 1.000e-02 eta: 19:18:05 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.3639 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6697 loss: 1.6697 2022/06/30 00:11:44 - mmengine - INFO - Epoch(train) [33][2920/3757] lr: 1.000e-02 eta: 19:18:02 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 5.1548 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7846 loss: 1.7846 2022/06/30 00:11:49 - mmengine - INFO - Epoch(train) [33][2940/3757] lr: 1.000e-02 eta: 19:17:55 time: 0.243 data_time: 0.014 memory: 6404 grad_norm: 5.5260 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8533 loss: 1.8533 2022/06/30 00:11:55 - mmengine - INFO - Epoch(train) [33][2960/3757] lr: 1.000e-02 eta: 19:17:49 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 5.5505 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9156 loss: 1.9156 2022/06/30 00:12:00 - mmengine - INFO - Epoch(train) [33][2980/3757] lr: 1.000e-02 eta: 19:17:43 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.5303 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0978 loss: 2.0978 2022/06/30 00:12:06 - mmengine - INFO - Epoch(train) [33][3000/3757] lr: 1.000e-02 eta: 19:17:38 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 5.1913 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8654 loss: 1.8654 2022/06/30 00:12:11 - mmengine - INFO - Epoch(train) [33][3020/3757] lr: 1.000e-02 eta: 19:17:32 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.3619 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9971 loss: 1.9971 2022/06/30 00:12:17 - mmengine - INFO - Epoch(train) [33][3040/3757] lr: 1.000e-02 eta: 19:17:27 time: 0.239 data_time: 0.014 memory: 6404 grad_norm: 4.9072 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8084 loss: 1.8084 2022/06/30 00:12:22 - mmengine - INFO - Epoch(train) [33][3060/3757] lr: 1.000e-02 eta: 19:17:22 time: 0.503 data_time: 0.010 memory: 6404 grad_norm: 6.0858 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2139 loss: 2.2139 2022/06/30 00:12:28 - mmengine - INFO - Epoch(train) [33][3080/3757] lr: 1.000e-02 eta: 19:17:16 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.6573 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1059 loss: 2.1059 2022/06/30 00:12:33 - mmengine - INFO - Epoch(train) [33][3100/3757] lr: 1.000e-02 eta: 19:17:11 time: 0.241 data_time: 0.015 memory: 6404 grad_norm: 6.1042 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3563 loss: 1.3563 2022/06/30 00:12:38 - mmengine - INFO - Epoch(train) [33][3120/3757] lr: 1.000e-02 eta: 19:17:05 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.2530 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9872 loss: 1.9872 2022/06/30 00:12:44 - mmengine - INFO - Epoch(train) [33][3140/3757] lr: 1.000e-02 eta: 19:17:00 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 5.3148 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9546 loss: 1.9546 2022/06/30 00:12:49 - mmengine - INFO - Epoch(train) [33][3160/3757] lr: 1.000e-02 eta: 19:16:54 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 6.0882 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.5674 loss: 2.5674 2022/06/30 00:12:55 - mmengine - INFO - Epoch(train) [33][3180/3757] lr: 1.000e-02 eta: 19:16:48 time: 0.238 data_time: 0.011 memory: 6404 grad_norm: 5.9832 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9942 loss: 1.9942 2022/06/30 00:13:01 - mmengine - INFO - Epoch(train) [33][3200/3757] lr: 1.000e-02 eta: 19:16:43 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 5.1419 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8247 loss: 1.8247 2022/06/30 00:13:06 - mmengine - INFO - Epoch(train) [33][3220/3757] lr: 1.000e-02 eta: 19:16:38 time: 0.273 data_time: 0.009 memory: 6404 grad_norm: 5.9527 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6930 loss: 1.6930 2022/06/30 00:13:11 - mmengine - INFO - Epoch(train) [33][3240/3757] lr: 1.000e-02 eta: 19:16:31 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.4597 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0635 loss: 2.0635 2022/06/30 00:13:17 - mmengine - INFO - Epoch(train) [33][3260/3757] lr: 1.000e-02 eta: 19:16:25 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.6066 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8048 loss: 1.8048 2022/06/30 00:13:23 - mmengine - INFO - Epoch(train) [33][3280/3757] lr: 1.000e-02 eta: 19:16:21 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 4.9171 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6269 loss: 1.6269 2022/06/30 00:13:28 - mmengine - INFO - Epoch(train) [33][3300/3757] lr: 1.000e-02 eta: 19:16:16 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 5.9061 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1830 loss: 2.1830 2022/06/30 00:13:34 - mmengine - INFO - Epoch(train) [33][3320/3757] lr: 1.000e-02 eta: 19:16:10 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 4.7697 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5983 loss: 1.5983 2022/06/30 00:13:39 - mmengine - INFO - Epoch(train) [33][3340/3757] lr: 1.000e-02 eta: 19:16:04 time: 0.257 data_time: 0.020 memory: 6404 grad_norm: 5.8179 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9760 loss: 1.9760 2022/06/30 00:13:44 - mmengine - INFO - Epoch(train) [33][3360/3757] lr: 1.000e-02 eta: 19:15:58 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.6516 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4454 loss: 2.4454 2022/06/30 00:13:50 - mmengine - INFO - Epoch(train) [33][3380/3757] lr: 1.000e-02 eta: 19:15:53 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.8620 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9152 loss: 1.9152 2022/06/30 00:13:55 - mmengine - INFO - Epoch(train) [33][3400/3757] lr: 1.000e-02 eta: 19:15:47 time: 0.253 data_time: 0.016 memory: 6404 grad_norm: 5.4133 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5740 loss: 1.5740 2022/06/30 00:14:01 - mmengine - INFO - Epoch(train) [33][3420/3757] lr: 1.000e-02 eta: 19:15:42 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 4.5707 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6358 loss: 1.6358 2022/06/30 00:14:07 - mmengine - INFO - Epoch(train) [33][3440/3757] lr: 1.000e-02 eta: 19:15:38 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 6.4344 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6644 loss: 1.6644 2022/06/30 00:14:12 - mmengine - INFO - Epoch(train) [33][3460/3757] lr: 1.000e-02 eta: 19:15:31 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 6.2248 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8146 loss: 1.8146 2022/06/30 00:14:17 - mmengine - INFO - Epoch(train) [33][3480/3757] lr: 1.000e-02 eta: 19:15:25 time: 0.240 data_time: 0.008 memory: 6404 grad_norm: 5.2464 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6965 loss: 1.6965 2022/06/30 00:14:23 - mmengine - INFO - Epoch(train) [33][3500/3757] lr: 1.000e-02 eta: 19:15:20 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 6.3670 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0759 loss: 2.0759 2022/06/30 00:14:29 - mmengine - INFO - Epoch(train) [33][3520/3757] lr: 1.000e-02 eta: 19:15:15 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 5.2054 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4405 loss: 1.4405 2022/06/30 00:14:35 - mmengine - INFO - Epoch(train) [33][3540/3757] lr: 1.000e-02 eta: 19:15:10 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 5.7348 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9475 loss: 1.9475 2022/06/30 00:14:40 - mmengine - INFO - Epoch(train) [33][3560/3757] lr: 1.000e-02 eta: 19:15:04 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.2931 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9009 loss: 1.9009 2022/06/30 00:14:45 - mmengine - INFO - Epoch(train) [33][3580/3757] lr: 1.000e-02 eta: 19:14:58 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 5.2281 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0288 loss: 2.0288 2022/06/30 00:14:51 - mmengine - INFO - Epoch(train) [33][3600/3757] lr: 1.000e-02 eta: 19:14:53 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.3131 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6359 loss: 1.6359 2022/06/30 00:14:56 - mmengine - INFO - Epoch(train) [33][3620/3757] lr: 1.000e-02 eta: 19:14:47 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 6.1184 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7960 loss: 1.7960 2022/06/30 00:15:02 - mmengine - INFO - Epoch(train) [33][3640/3757] lr: 1.000e-02 eta: 19:14:42 time: 0.240 data_time: 0.007 memory: 6404 grad_norm: 5.8436 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8772 loss: 1.8772 2022/06/30 00:15:08 - mmengine - INFO - Epoch(train) [33][3660/3757] lr: 1.000e-02 eta: 19:14:38 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.5412 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6779 loss: 1.6779 2022/06/30 00:15:13 - mmengine - INFO - Epoch(train) [33][3680/3757] lr: 1.000e-02 eta: 19:14:31 time: 0.264 data_time: 0.012 memory: 6404 grad_norm: 6.1748 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0318 loss: 2.0318 2022/06/30 00:15:18 - mmengine - INFO - Epoch(train) [33][3700/3757] lr: 1.000e-02 eta: 19:14:25 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 5.7641 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6077 loss: 1.6077 2022/06/30 00:15:23 - mmengine - INFO - Epoch(train) [33][3720/3757] lr: 1.000e-02 eta: 19:14:19 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 6.3684 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1200 loss: 2.1200 2022/06/30 00:15:29 - mmengine - INFO - Epoch(train) [33][3740/3757] lr: 1.000e-02 eta: 19:14:13 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 6.7419 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7699 loss: 1.7699 2022/06/30 00:15:33 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 00:15:40 - mmengine - INFO - Epoch(val) [33][20/310] eta: 0:01:36 time: 0.095 data_time: 0.007 memory: 6404 2022/06/30 00:15:46 - mmengine - INFO - Epoch(val) [33][40/310] eta: 0:01:14 time: 0.087 data_time: 0.007 memory: 1479 2022/06/30 00:15:50 - mmengine - INFO - Epoch(val) [33][60/310] eta: 0:00:30 time: 0.094 data_time: 0.012 memory: 1479 2022/06/30 00:15:56 - mmengine - INFO - Epoch(val) [33][80/310] eta: 0:01:08 time: 0.589 data_time: 0.508 memory: 1479 2022/06/30 00:16:01 - mmengine - INFO - Epoch(val) [33][100/310] eta: 0:00:57 time: 0.084 data_time: 0.010 memory: 1479 2022/06/30 00:16:06 - mmengine - INFO - Epoch(val) [33][120/310] eta: 0:00:35 time: 0.084 data_time: 0.005 memory: 1479 2022/06/30 00:16:13 - mmengine - INFO - Epoch(val) [33][140/310] eta: 0:00:51 time: 0.206 data_time: 0.059 memory: 1479 2022/06/30 00:16:18 - mmengine - INFO - Epoch(val) [33][160/310] eta: 0:00:47 time: 0.084 data_time: 0.012 memory: 1479 2022/06/30 00:16:23 - mmengine - INFO - Epoch(val) [33][180/310] eta: 0:00:30 time: 0.086 data_time: 0.006 memory: 1479 2022/06/30 00:16:29 - mmengine - INFO - Epoch(val) [33][200/310] eta: 0:00:32 time: 0.107 data_time: 0.019 memory: 1479 2022/06/30 00:16:35 - mmengine - INFO - Epoch(val) [33][220/310] eta: 0:00:32 time: 0.089 data_time: 0.005 memory: 1479 2022/06/30 00:16:39 - mmengine - INFO - Epoch(val) [33][240/310] eta: 0:00:18 time: 0.082 data_time: 0.005 memory: 1479 2022/06/30 00:16:45 - mmengine - INFO - Epoch(val) [33][260/310] eta: 0:00:15 time: 0.095 data_time: 0.014 memory: 1479 2022/06/30 00:16:50 - mmengine - INFO - Epoch(val) [33][280/310] eta: 0:00:06 time: 0.083 data_time: 0.007 memory: 1479 2022/06/30 00:16:54 - mmengine - INFO - Epoch(val) [33][300/310] eta: 0:00:02 time: 0.083 data_time: 0.007 memory: 1479 2022/06/30 00:16:59 - mmengine - INFO - Epoch(val) [33][310/310] acc/top1: 0.5760 acc/top5: 0.8107 acc/mean1: 0.5758 2022/06/30 00:17:07 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 00:17:08 - mmengine - INFO - Epoch(train) [34][20/3757] lr: 1.000e-02 eta: 19:14:04 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 6.2724 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6956 loss: 1.6956 2022/06/30 00:17:14 - mmengine - INFO - Epoch(train) [34][40/3757] lr: 1.000e-02 eta: 19:14:00 time: 0.244 data_time: 0.032 memory: 6404 grad_norm: 6.0027 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5591 loss: 1.5591 2022/06/30 00:17:19 - mmengine - INFO - Epoch(train) [34][60/3757] lr: 1.000e-02 eta: 19:13:53 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.5069 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5997 loss: 1.5997 2022/06/30 00:17:24 - mmengine - INFO - Epoch(train) [34][80/3757] lr: 1.000e-02 eta: 19:13:48 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.3642 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5079 loss: 1.5079 2022/06/30 00:17:31 - mmengine - INFO - Epoch(train) [34][100/3757] lr: 1.000e-02 eta: 19:13:44 time: 0.798 data_time: 0.612 memory: 6404 grad_norm: 5.5977 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8774 loss: 1.8774 2022/06/30 00:17:36 - mmengine - INFO - Epoch(train) [34][120/3757] lr: 1.000e-02 eta: 19:13:38 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.3766 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8213 loss: 1.8213 2022/06/30 00:17:41 - mmengine - INFO - Epoch(train) [34][140/3757] lr: 1.000e-02 eta: 19:13:32 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.4470 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1433 loss: 2.1433 2022/06/30 00:17:47 - mmengine - INFO - Epoch(train) [34][160/3757] lr: 1.000e-02 eta: 19:13:27 time: 0.310 data_time: 0.107 memory: 6404 grad_norm: 5.4867 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9818 loss: 1.9818 2022/06/30 00:17:53 - mmengine - INFO - Epoch(train) [34][180/3757] lr: 1.000e-02 eta: 19:13:22 time: 0.310 data_time: 0.009 memory: 6404 grad_norm: 5.6560 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8488 loss: 1.8488 2022/06/30 00:17:58 - mmengine - INFO - Epoch(train) [34][200/3757] lr: 1.000e-02 eta: 19:13:16 time: 0.241 data_time: 0.007 memory: 6404 grad_norm: 5.3015 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0710 loss: 2.0710 2022/06/30 00:18:04 - mmengine - INFO - Epoch(train) [34][220/3757] lr: 1.000e-02 eta: 19:13:11 time: 0.699 data_time: 0.510 memory: 6404 grad_norm: 5.5953 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4870 loss: 1.4870 2022/06/30 00:18:09 - mmengine - INFO - Epoch(train) [34][240/3757] lr: 1.000e-02 eta: 19:13:05 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.5720 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8819 loss: 1.8819 2022/06/30 00:18:15 - mmengine - INFO - Epoch(train) [34][260/3757] lr: 1.000e-02 eta: 19:12:59 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 4.8518 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6368 loss: 1.6368 2022/06/30 00:18:20 - mmengine - INFO - Epoch(train) [34][280/3757] lr: 1.000e-02 eta: 19:12:54 time: 0.250 data_time: 0.054 memory: 6404 grad_norm: 5.2938 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8848 loss: 1.8848 2022/06/30 00:18:26 - mmengine - INFO - Epoch(train) [34][300/3757] lr: 1.000e-02 eta: 19:12:48 time: 0.269 data_time: 0.008 memory: 6404 grad_norm: 4.9404 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5988 loss: 1.5988 2022/06/30 00:18:31 - mmengine - INFO - Epoch(train) [34][320/3757] lr: 1.000e-02 eta: 19:12:43 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.2681 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7408 loss: 1.7408 2022/06/30 00:18:37 - mmengine - INFO - Epoch(train) [34][340/3757] lr: 1.000e-02 eta: 19:12:37 time: 0.257 data_time: 0.070 memory: 6404 grad_norm: 5.8171 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8740 loss: 1.8740 2022/06/30 00:18:42 - mmengine - INFO - Epoch(train) [34][360/3757] lr: 1.000e-02 eta: 19:12:31 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 5.6896 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5982 loss: 1.5982 2022/06/30 00:18:47 - mmengine - INFO - Epoch(train) [34][380/3757] lr: 1.000e-02 eta: 19:12:24 time: 0.247 data_time: 0.013 memory: 6404 grad_norm: 5.2093 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6130 loss: 1.6130 2022/06/30 00:18:52 - mmengine - INFO - Epoch(train) [34][400/3757] lr: 1.000e-02 eta: 19:12:18 time: 0.252 data_time: 0.023 memory: 6404 grad_norm: 5.9225 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4399 loss: 1.4399 2022/06/30 00:18:57 - mmengine - INFO - Epoch(train) [34][420/3757] lr: 1.000e-02 eta: 19:12:13 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 5.5650 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6869 loss: 1.6869 2022/06/30 00:19:03 - mmengine - INFO - Epoch(train) [34][440/3757] lr: 1.000e-02 eta: 19:12:08 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 6.2504 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8984 loss: 1.8984 2022/06/30 00:19:09 - mmengine - INFO - Epoch(train) [34][460/3757] lr: 1.000e-02 eta: 19:12:02 time: 0.252 data_time: 0.020 memory: 6404 grad_norm: 5.4305 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8398 loss: 1.8398 2022/06/30 00:19:15 - mmengine - INFO - Epoch(train) [34][480/3757] lr: 1.000e-02 eta: 19:11:58 time: 0.246 data_time: 0.020 memory: 6404 grad_norm: 5.9889 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7992 loss: 1.7992 2022/06/30 00:19:21 - mmengine - INFO - Epoch(train) [34][500/3757] lr: 1.000e-02 eta: 19:11:53 time: 0.247 data_time: 0.016 memory: 6404 grad_norm: 5.4404 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6859 loss: 1.6859 2022/06/30 00:19:26 - mmengine - INFO - Epoch(train) [34][520/3757] lr: 1.000e-02 eta: 19:11:47 time: 0.257 data_time: 0.036 memory: 6404 grad_norm: 5.5421 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9225 loss: 1.9225 2022/06/30 00:19:31 - mmengine - INFO - Epoch(train) [34][540/3757] lr: 1.000e-02 eta: 19:11:41 time: 0.255 data_time: 0.024 memory: 6404 grad_norm: 5.8545 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9027 loss: 1.9027 2022/06/30 00:19:37 - mmengine - INFO - Epoch(train) [34][560/3757] lr: 1.000e-02 eta: 19:11:36 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.7774 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4964 loss: 2.4964 2022/06/30 00:19:43 - mmengine - INFO - Epoch(train) [34][580/3757] lr: 1.000e-02 eta: 19:11:31 time: 0.258 data_time: 0.020 memory: 6404 grad_norm: 5.2773 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7012 loss: 1.7012 2022/06/30 00:19:48 - mmengine - INFO - Epoch(train) [34][600/3757] lr: 1.000e-02 eta: 19:11:26 time: 0.253 data_time: 0.048 memory: 6404 grad_norm: 5.4491 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9024 loss: 1.9024 2022/06/30 00:19:54 - mmengine - INFO - Epoch(train) [34][620/3757] lr: 1.000e-02 eta: 19:11:21 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.8273 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9114 loss: 1.9114 2022/06/30 00:19:59 - mmengine - INFO - Epoch(train) [34][640/3757] lr: 1.000e-02 eta: 19:11:15 time: 0.253 data_time: 0.017 memory: 6404 grad_norm: 5.4820 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6872 loss: 1.6872 2022/06/30 00:20:05 - mmengine - INFO - Epoch(train) [34][660/3757] lr: 1.000e-02 eta: 19:11:09 time: 0.243 data_time: 0.023 memory: 6404 grad_norm: 5.5093 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7479 loss: 1.7479 2022/06/30 00:20:10 - mmengine - INFO - Epoch(train) [34][680/3757] lr: 1.000e-02 eta: 19:11:04 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.0835 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5742 loss: 1.5742 2022/06/30 00:20:16 - mmengine - INFO - Epoch(train) [34][700/3757] lr: 1.000e-02 eta: 19:10:59 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.5643 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0108 loss: 2.0108 2022/06/30 00:20:21 - mmengine - INFO - Epoch(train) [34][720/3757] lr: 1.000e-02 eta: 19:10:53 time: 0.253 data_time: 0.018 memory: 6404 grad_norm: 6.3828 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9868 loss: 1.9868 2022/06/30 00:20:27 - mmengine - INFO - Epoch(train) [34][740/3757] lr: 1.000e-02 eta: 19:10:47 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.2793 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6802 loss: 1.6802 2022/06/30 00:20:32 - mmengine - INFO - Epoch(train) [34][760/3757] lr: 1.000e-02 eta: 19:10:41 time: 0.250 data_time: 0.017 memory: 6404 grad_norm: 5.6773 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1034 loss: 2.1034 2022/06/30 00:20:37 - mmengine - INFO - Epoch(train) [34][780/3757] lr: 1.000e-02 eta: 19:10:35 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 6.1060 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5618 loss: 1.5618 2022/06/30 00:20:43 - mmengine - INFO - Epoch(train) [34][800/3757] lr: 1.000e-02 eta: 19:10:29 time: 0.245 data_time: 0.012 memory: 6404 grad_norm: 6.4075 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8512 loss: 1.8512 2022/06/30 00:20:48 - mmengine - INFO - Epoch(train) [34][820/3757] lr: 1.000e-02 eta: 19:10:24 time: 0.247 data_time: 0.014 memory: 6404 grad_norm: 5.3608 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5341 loss: 1.5341 2022/06/30 00:20:54 - mmengine - INFO - Epoch(train) [34][840/3757] lr: 1.000e-02 eta: 19:10:19 time: 0.476 data_time: 0.011 memory: 6404 grad_norm: 5.3575 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9647 loss: 1.9647 2022/06/30 00:20:59 - mmengine - INFO - Epoch(train) [34][860/3757] lr: 1.000e-02 eta: 19:10:13 time: 0.236 data_time: 0.009 memory: 6404 grad_norm: 5.0436 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1480 loss: 2.1480 2022/06/30 00:21:05 - mmengine - INFO - Epoch(train) [34][880/3757] lr: 1.000e-02 eta: 19:10:08 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.9230 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9652 loss: 1.9652 2022/06/30 00:21:11 - mmengine - INFO - Epoch(train) [34][900/3757] lr: 1.000e-02 eta: 19:10:03 time: 0.447 data_time: 0.008 memory: 6404 grad_norm: 5.6815 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.9849 loss: 1.9849 2022/06/30 00:21:17 - mmengine - INFO - Epoch(train) [34][920/3757] lr: 1.000e-02 eta: 19:09:58 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 5.1241 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6854 loss: 1.6854 2022/06/30 00:21:22 - mmengine - INFO - Epoch(train) [34][940/3757] lr: 1.000e-02 eta: 19:09:52 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.6663 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5150 loss: 1.5150 2022/06/30 00:21:27 - mmengine - INFO - Epoch(train) [34][960/3757] lr: 1.000e-02 eta: 19:09:47 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.4369 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0832 loss: 2.0832 2022/06/30 00:21:33 - mmengine - INFO - Epoch(train) [34][980/3757] lr: 1.000e-02 eta: 19:09:42 time: 0.375 data_time: 0.007 memory: 6404 grad_norm: 6.3532 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9965 loss: 1.9965 2022/06/30 00:21:39 - mmengine - INFO - Epoch(train) [34][1000/3757] lr: 1.000e-02 eta: 19:09:36 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.8166 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1675 loss: 2.1675 2022/06/30 00:21:44 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 00:21:44 - mmengine - INFO - Epoch(train) [34][1020/3757] lr: 1.000e-02 eta: 19:09:31 time: 0.387 data_time: 0.023 memory: 6404 grad_norm: 5.5507 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7321 loss: 1.7321 2022/06/30 00:21:50 - mmengine - INFO - Epoch(train) [34][1040/3757] lr: 1.000e-02 eta: 19:09:25 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.4163 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1478 loss: 2.1478 2022/06/30 00:21:55 - mmengine - INFO - Epoch(train) [34][1060/3757] lr: 1.000e-02 eta: 19:09:20 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 5.4229 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0321 loss: 2.0321 2022/06/30 00:22:00 - mmengine - INFO - Epoch(train) [34][1080/3757] lr: 1.000e-02 eta: 19:09:13 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 5.9953 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6391 loss: 2.6391 2022/06/30 00:22:06 - mmengine - INFO - Epoch(train) [34][1100/3757] lr: 1.000e-02 eta: 19:09:08 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.2730 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2557 loss: 2.2557 2022/06/30 00:22:11 - mmengine - INFO - Epoch(train) [34][1120/3757] lr: 1.000e-02 eta: 19:09:01 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 6.0990 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5669 loss: 1.5669 2022/06/30 00:22:16 - mmengine - INFO - Epoch(train) [34][1140/3757] lr: 1.000e-02 eta: 19:08:55 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 5.4196 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6641 loss: 1.6641 2022/06/30 00:22:22 - mmengine - INFO - Epoch(train) [34][1160/3757] lr: 1.000e-02 eta: 19:08:50 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.4750 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9076 loss: 1.9076 2022/06/30 00:22:27 - mmengine - INFO - Epoch(train) [34][1180/3757] lr: 1.000e-02 eta: 19:08:44 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.2023 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9578 loss: 1.9578 2022/06/30 00:22:33 - mmengine - INFO - Epoch(train) [34][1200/3757] lr: 1.000e-02 eta: 19:08:39 time: 0.252 data_time: 0.015 memory: 6404 grad_norm: 6.3515 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1765 loss: 2.1765 2022/06/30 00:22:38 - mmengine - INFO - Epoch(train) [34][1220/3757] lr: 1.000e-02 eta: 19:08:34 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.9751 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6841 loss: 1.6841 2022/06/30 00:22:44 - mmengine - INFO - Epoch(train) [34][1240/3757] lr: 1.000e-02 eta: 19:08:29 time: 0.263 data_time: 0.006 memory: 6404 grad_norm: 6.2282 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1093 loss: 2.1093 2022/06/30 00:22:49 - mmengine - INFO - Epoch(train) [34][1260/3757] lr: 1.000e-02 eta: 19:08:22 time: 0.253 data_time: 0.017 memory: 6404 grad_norm: 5.8722 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8934 loss: 1.8934 2022/06/30 00:22:55 - mmengine - INFO - Epoch(train) [34][1280/3757] lr: 1.000e-02 eta: 19:08:18 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 6.4171 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0908 loss: 2.0908 2022/06/30 00:23:00 - mmengine - INFO - Epoch(train) [34][1300/3757] lr: 1.000e-02 eta: 19:08:11 time: 0.263 data_time: 0.006 memory: 6404 grad_norm: 5.0170 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2194 loss: 2.2194 2022/06/30 00:23:06 - mmengine - INFO - Epoch(train) [34][1320/3757] lr: 1.000e-02 eta: 19:08:06 time: 0.260 data_time: 0.064 memory: 6404 grad_norm: 6.5601 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7222 loss: 1.7222 2022/06/30 00:23:11 - mmengine - INFO - Epoch(train) [34][1340/3757] lr: 1.000e-02 eta: 19:08:00 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.9068 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.7871 loss: 1.7871 2022/06/30 00:23:17 - mmengine - INFO - Epoch(train) [34][1360/3757] lr: 1.000e-02 eta: 19:07:56 time: 0.259 data_time: 0.006 memory: 6404 grad_norm: 5.7609 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3394 loss: 1.3394 2022/06/30 00:23:23 - mmengine - INFO - Epoch(train) [34][1380/3757] lr: 1.000e-02 eta: 19:07:51 time: 0.259 data_time: 0.014 memory: 6404 grad_norm: 6.1060 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9334 loss: 1.9334 2022/06/30 00:23:28 - mmengine - INFO - Epoch(train) [34][1400/3757] lr: 1.000e-02 eta: 19:07:45 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 5.6361 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9995 loss: 1.9995 2022/06/30 00:23:34 - mmengine - INFO - Epoch(train) [34][1420/3757] lr: 1.000e-02 eta: 19:07:40 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.8967 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8929 loss: 1.8929 2022/06/30 00:23:40 - mmengine - INFO - Epoch(train) [34][1440/3757] lr: 1.000e-02 eta: 19:07:34 time: 0.241 data_time: 0.021 memory: 6404 grad_norm: 5.4821 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7959 loss: 1.7959 2022/06/30 00:23:45 - mmengine - INFO - Epoch(train) [34][1460/3757] lr: 1.000e-02 eta: 19:07:29 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.8189 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8663 loss: 1.8663 2022/06/30 00:23:51 - mmengine - INFO - Epoch(train) [34][1480/3757] lr: 1.000e-02 eta: 19:07:23 time: 0.246 data_time: 0.018 memory: 6404 grad_norm: 5.1621 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8596 loss: 1.8596 2022/06/30 00:23:56 - mmengine - INFO - Epoch(train) [34][1500/3757] lr: 1.000e-02 eta: 19:07:17 time: 0.249 data_time: 0.033 memory: 6404 grad_norm: 5.7595 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4775 loss: 1.4775 2022/06/30 00:24:02 - mmengine - INFO - Epoch(train) [34][1520/3757] lr: 1.000e-02 eta: 19:07:12 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 6.1684 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3912 loss: 2.3912 2022/06/30 00:24:07 - mmengine - INFO - Epoch(train) [34][1540/3757] lr: 1.000e-02 eta: 19:07:07 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.7164 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8163 loss: 1.8163 2022/06/30 00:24:13 - mmengine - INFO - Epoch(train) [34][1560/3757] lr: 1.000e-02 eta: 19:07:02 time: 0.256 data_time: 0.019 memory: 6404 grad_norm: 5.7558 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7833 loss: 1.7833 2022/06/30 00:24:19 - mmengine - INFO - Epoch(train) [34][1580/3757] lr: 1.000e-02 eta: 19:06:57 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 5.4079 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8987 loss: 1.8987 2022/06/30 00:24:24 - mmengine - INFO - Epoch(train) [34][1600/3757] lr: 1.000e-02 eta: 19:06:50 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 5.6899 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6975 loss: 1.6975 2022/06/30 00:24:29 - mmengine - INFO - Epoch(train) [34][1620/3757] lr: 1.000e-02 eta: 19:06:44 time: 0.234 data_time: 0.021 memory: 6404 grad_norm: 5.6351 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8479 loss: 1.8479 2022/06/30 00:24:34 - mmengine - INFO - Epoch(train) [34][1640/3757] lr: 1.000e-02 eta: 19:06:38 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.6366 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6569 loss: 1.6569 2022/06/30 00:24:39 - mmengine - INFO - Epoch(train) [34][1660/3757] lr: 1.000e-02 eta: 19:06:31 time: 0.250 data_time: 0.020 memory: 6404 grad_norm: 5.5591 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1263 loss: 2.1263 2022/06/30 00:24:45 - mmengine - INFO - Epoch(train) [34][1680/3757] lr: 1.000e-02 eta: 19:06:27 time: 0.264 data_time: 0.016 memory: 6404 grad_norm: 5.0238 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4663 loss: 1.4663 2022/06/30 00:24:50 - mmengine - INFO - Epoch(train) [34][1700/3757] lr: 1.000e-02 eta: 19:06:21 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 5.3286 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7168 loss: 1.7168 2022/06/30 00:24:56 - mmengine - INFO - Epoch(train) [34][1720/3757] lr: 1.000e-02 eta: 19:06:17 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.4336 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8760 loss: 1.8760 2022/06/30 00:25:02 - mmengine - INFO - Epoch(train) [34][1740/3757] lr: 1.000e-02 eta: 19:06:11 time: 0.245 data_time: 0.019 memory: 6404 grad_norm: 5.9349 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2623 loss: 2.2623 2022/06/30 00:25:08 - mmengine - INFO - Epoch(train) [34][1760/3757] lr: 1.000e-02 eta: 19:06:06 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 6.1777 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9642 loss: 1.9642 2022/06/30 00:25:13 - mmengine - INFO - Epoch(train) [34][1780/3757] lr: 1.000e-02 eta: 19:06:00 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 5.7416 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9670 loss: 1.9670 2022/06/30 00:25:18 - mmengine - INFO - Epoch(train) [34][1800/3757] lr: 1.000e-02 eta: 19:05:54 time: 0.244 data_time: 0.015 memory: 6404 grad_norm: 5.5989 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0878 loss: 2.0878 2022/06/30 00:25:24 - mmengine - INFO - Epoch(train) [34][1820/3757] lr: 1.000e-02 eta: 19:05:49 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 5.6534 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8733 loss: 1.8733 2022/06/30 00:25:29 - mmengine - INFO - Epoch(train) [34][1840/3757] lr: 1.000e-02 eta: 19:05:43 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 5.6508 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9395 loss: 1.9395 2022/06/30 00:25:35 - mmengine - INFO - Epoch(train) [34][1860/3757] lr: 1.000e-02 eta: 19:05:39 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 5.4281 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1778 loss: 2.1778 2022/06/30 00:25:41 - mmengine - INFO - Epoch(train) [34][1880/3757] lr: 1.000e-02 eta: 19:05:33 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 4.9456 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8822 loss: 1.8822 2022/06/30 00:25:46 - mmengine - INFO - Epoch(train) [34][1900/3757] lr: 1.000e-02 eta: 19:05:28 time: 0.252 data_time: 0.024 memory: 6404 grad_norm: 5.5003 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8859 loss: 1.8859 2022/06/30 00:25:51 - mmengine - INFO - Epoch(train) [34][1920/3757] lr: 1.000e-02 eta: 19:05:21 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.1499 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4946 loss: 1.4946 2022/06/30 00:25:57 - mmengine - INFO - Epoch(train) [34][1940/3757] lr: 1.000e-02 eta: 19:05:15 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.9840 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9241 loss: 1.9241 2022/06/30 00:26:02 - mmengine - INFO - Epoch(train) [34][1960/3757] lr: 1.000e-02 eta: 19:05:10 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 5.1290 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6653 loss: 1.6653 2022/06/30 00:26:09 - mmengine - INFO - Epoch(train) [34][1980/3757] lr: 1.000e-02 eta: 19:05:07 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 5.9926 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8135 loss: 1.8135 2022/06/30 00:26:14 - mmengine - INFO - Epoch(train) [34][2000/3757] lr: 1.000e-02 eta: 19:05:01 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 5.4773 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4171 loss: 2.4171 2022/06/30 00:26:19 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 00:26:19 - mmengine - INFO - Epoch(train) [34][2020/3757] lr: 1.000e-02 eta: 19:04:54 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 5.8280 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0686 loss: 2.0686 2022/06/30 00:26:25 - mmengine - INFO - Epoch(train) [34][2040/3757] lr: 1.000e-02 eta: 19:04:48 time: 0.245 data_time: 0.024 memory: 6404 grad_norm: 5.4909 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1265 loss: 2.1265 2022/06/30 00:26:30 - mmengine - INFO - Epoch(train) [34][2060/3757] lr: 1.000e-02 eta: 19:04:42 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 6.0375 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7825 loss: 1.7825 2022/06/30 00:26:35 - mmengine - INFO - Epoch(train) [34][2080/3757] lr: 1.000e-02 eta: 19:04:36 time: 0.266 data_time: 0.017 memory: 6404 grad_norm: 5.7527 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8934 loss: 1.8934 2022/06/30 00:26:40 - mmengine - INFO - Epoch(train) [34][2100/3757] lr: 1.000e-02 eta: 19:04:31 time: 0.247 data_time: 0.057 memory: 6404 grad_norm: 6.4777 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7673 loss: 1.7673 2022/06/30 00:26:46 - mmengine - INFO - Epoch(train) [34][2120/3757] lr: 1.000e-02 eta: 19:04:26 time: 0.250 data_time: 0.016 memory: 6404 grad_norm: 5.8839 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2017 loss: 2.2017 2022/06/30 00:26:51 - mmengine - INFO - Epoch(train) [34][2140/3757] lr: 1.000e-02 eta: 19:04:19 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 5.6217 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6209 loss: 1.6209 2022/06/30 00:26:57 - mmengine - INFO - Epoch(train) [34][2160/3757] lr: 1.000e-02 eta: 19:04:15 time: 0.258 data_time: 0.013 memory: 6404 grad_norm: 5.6020 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6161 loss: 1.6161 2022/06/30 00:27:03 - mmengine - INFO - Epoch(train) [34][2180/3757] lr: 1.000e-02 eta: 19:04:10 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.8194 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0627 loss: 2.0627 2022/06/30 00:27:09 - mmengine - INFO - Epoch(train) [34][2200/3757] lr: 1.000e-02 eta: 19:04:05 time: 0.401 data_time: 0.007 memory: 6404 grad_norm: 5.1560 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8542 loss: 1.8542 2022/06/30 00:27:15 - mmengine - INFO - Epoch(train) [34][2220/3757] lr: 1.000e-02 eta: 19:04:00 time: 0.281 data_time: 0.019 memory: 6404 grad_norm: 6.0928 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7811 loss: 1.7811 2022/06/30 00:27:20 - mmengine - INFO - Epoch(train) [34][2240/3757] lr: 1.000e-02 eta: 19:03:54 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 6.1334 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3645 loss: 2.3645 2022/06/30 00:27:25 - mmengine - INFO - Epoch(train) [34][2260/3757] lr: 1.000e-02 eta: 19:03:48 time: 0.272 data_time: 0.007 memory: 6404 grad_norm: 5.4855 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7835 loss: 1.7835 2022/06/30 00:27:31 - mmengine - INFO - Epoch(train) [34][2280/3757] lr: 1.000e-02 eta: 19:03:43 time: 0.476 data_time: 0.067 memory: 6404 grad_norm: 5.5416 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5466 loss: 1.5466 2022/06/30 00:27:36 - mmengine - INFO - Epoch(train) [34][2300/3757] lr: 1.000e-02 eta: 19:03:37 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.6012 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.6192 loss: 1.6192 2022/06/30 00:27:42 - mmengine - INFO - Epoch(train) [34][2320/3757] lr: 1.000e-02 eta: 19:03:32 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 4.9890 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6185 loss: 1.6185 2022/06/30 00:27:48 - mmengine - INFO - Epoch(train) [34][2340/3757] lr: 1.000e-02 eta: 19:03:26 time: 0.388 data_time: 0.011 memory: 6404 grad_norm: 5.4326 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0377 loss: 2.0377 2022/06/30 00:27:53 - mmengine - INFO - Epoch(train) [34][2360/3757] lr: 1.000e-02 eta: 19:03:21 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 5.6598 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9507 loss: 1.9507 2022/06/30 00:27:59 - mmengine - INFO - Epoch(train) [34][2380/3757] lr: 1.000e-02 eta: 19:03:16 time: 0.632 data_time: 0.007 memory: 6404 grad_norm: 5.3086 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7536 loss: 1.7536 2022/06/30 00:28:05 - mmengine - INFO - Epoch(train) [34][2400/3757] lr: 1.000e-02 eta: 19:03:11 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.5861 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3986 loss: 1.3986 2022/06/30 00:28:10 - mmengine - INFO - Epoch(train) [34][2420/3757] lr: 1.000e-02 eta: 19:03:06 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 6.3465 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8271 loss: 1.8271 2022/06/30 00:28:16 - mmengine - INFO - Epoch(train) [34][2440/3757] lr: 1.000e-02 eta: 19:03:00 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 6.1980 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6420 loss: 1.6420 2022/06/30 00:28:21 - mmengine - INFO - Epoch(train) [34][2460/3757] lr: 1.000e-02 eta: 19:02:54 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 4.7267 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7825 loss: 1.7825 2022/06/30 00:28:26 - mmengine - INFO - Epoch(train) [34][2480/3757] lr: 1.000e-02 eta: 19:02:49 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 6.0659 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9493 loss: 1.9493 2022/06/30 00:28:32 - mmengine - INFO - Epoch(train) [34][2500/3757] lr: 1.000e-02 eta: 19:02:43 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 5.3788 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7873 loss: 1.7873 2022/06/30 00:28:38 - mmengine - INFO - Epoch(train) [34][2520/3757] lr: 1.000e-02 eta: 19:02:39 time: 0.251 data_time: 0.014 memory: 6404 grad_norm: 5.8308 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9155 loss: 1.9155 2022/06/30 00:28:43 - mmengine - INFO - Epoch(train) [34][2540/3757] lr: 1.000e-02 eta: 19:02:33 time: 0.273 data_time: 0.081 memory: 6404 grad_norm: 5.8902 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2683 loss: 2.2683 2022/06/30 00:28:49 - mmengine - INFO - Epoch(train) [34][2560/3757] lr: 1.000e-02 eta: 19:02:28 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.5586 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9216 loss: 1.9216 2022/06/30 00:28:54 - mmengine - INFO - Epoch(train) [34][2580/3757] lr: 1.000e-02 eta: 19:02:22 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 5.8905 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9260 loss: 1.9260 2022/06/30 00:28:59 - mmengine - INFO - Epoch(train) [34][2600/3757] lr: 1.000e-02 eta: 19:02:15 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.5075 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5494 loss: 1.5494 2022/06/30 00:29:05 - mmengine - INFO - Epoch(train) [34][2620/3757] lr: 1.000e-02 eta: 19:02:09 time: 0.257 data_time: 0.017 memory: 6404 grad_norm: 6.0834 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0369 loss: 2.0369 2022/06/30 00:29:10 - mmengine - INFO - Epoch(train) [34][2640/3757] lr: 1.000e-02 eta: 19:02:03 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 4.4775 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0363 loss: 2.0363 2022/06/30 00:29:15 - mmengine - INFO - Epoch(train) [34][2660/3757] lr: 1.000e-02 eta: 19:01:58 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.7332 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2929 loss: 1.2929 2022/06/30 00:29:21 - mmengine - INFO - Epoch(train) [34][2680/3757] lr: 1.000e-02 eta: 19:01:52 time: 0.252 data_time: 0.019 memory: 6404 grad_norm: 5.3418 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7375 loss: 1.7375 2022/06/30 00:29:27 - mmengine - INFO - Epoch(train) [34][2700/3757] lr: 1.000e-02 eta: 19:01:48 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 6.2272 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7285 loss: 1.7285 2022/06/30 00:29:33 - mmengine - INFO - Epoch(train) [34][2720/3757] lr: 1.000e-02 eta: 19:01:44 time: 0.992 data_time: 0.007 memory: 6404 grad_norm: 6.5897 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9210 loss: 1.9210 2022/06/30 00:29:38 - mmengine - INFO - Epoch(train) [34][2740/3757] lr: 1.000e-02 eta: 19:01:37 time: 0.252 data_time: 0.023 memory: 6404 grad_norm: 5.9663 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7678 loss: 1.7678 2022/06/30 00:29:44 - mmengine - INFO - Epoch(train) [34][2760/3757] lr: 1.000e-02 eta: 19:01:32 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.1332 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6377 loss: 1.6377 2022/06/30 00:29:49 - mmengine - INFO - Epoch(train) [34][2780/3757] lr: 1.000e-02 eta: 19:01:27 time: 0.277 data_time: 0.008 memory: 6404 grad_norm: 5.7019 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6557 loss: 1.6557 2022/06/30 00:29:55 - mmengine - INFO - Epoch(train) [34][2800/3757] lr: 1.000e-02 eta: 19:01:21 time: 0.466 data_time: 0.276 memory: 6404 grad_norm: 6.0316 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0542 loss: 2.0542 2022/06/30 00:30:01 - mmengine - INFO - Epoch(train) [34][2820/3757] lr: 1.000e-02 eta: 19:01:16 time: 0.270 data_time: 0.006 memory: 6404 grad_norm: 4.9847 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4947 loss: 1.4947 2022/06/30 00:30:06 - mmengine - INFO - Epoch(train) [34][2840/3757] lr: 1.000e-02 eta: 19:01:11 time: 0.259 data_time: 0.006 memory: 6404 grad_norm: 5.8560 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5641 loss: 1.5641 2022/06/30 00:30:11 - mmengine - INFO - Epoch(train) [34][2860/3757] lr: 1.000e-02 eta: 19:01:05 time: 0.263 data_time: 0.029 memory: 6404 grad_norm: 5.0960 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0614 loss: 2.0614 2022/06/30 00:30:17 - mmengine - INFO - Epoch(train) [34][2880/3757] lr: 1.000e-02 eta: 19:01:00 time: 0.261 data_time: 0.012 memory: 6404 grad_norm: 5.3544 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7235 loss: 1.7235 2022/06/30 00:30:22 - mmengine - INFO - Epoch(train) [34][2900/3757] lr: 1.000e-02 eta: 19:00:54 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.0254 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1861 loss: 2.1861 2022/06/30 00:30:28 - mmengine - INFO - Epoch(train) [34][2920/3757] lr: 1.000e-02 eta: 19:00:49 time: 0.863 data_time: 0.142 memory: 6404 grad_norm: 5.3848 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9436 loss: 1.9436 2022/06/30 00:30:33 - mmengine - INFO - Epoch(train) [34][2940/3757] lr: 1.000e-02 eta: 19:00:43 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 4.9696 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7928 loss: 1.7928 2022/06/30 00:30:39 - mmengine - INFO - Epoch(train) [34][2960/3757] lr: 1.000e-02 eta: 19:00:38 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 4.9006 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3825 loss: 2.3825 2022/06/30 00:30:45 - mmengine - INFO - Epoch(train) [34][2980/3757] lr: 1.000e-02 eta: 19:00:32 time: 0.260 data_time: 0.017 memory: 6404 grad_norm: 5.6100 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7173 loss: 1.7173 2022/06/30 00:30:51 - mmengine - INFO - Epoch(train) [34][3000/3757] lr: 1.000e-02 eta: 19:00:27 time: 0.255 data_time: 0.012 memory: 6404 grad_norm: 4.9891 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6055 loss: 1.6055 2022/06/30 00:30:56 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 00:30:56 - mmengine - INFO - Epoch(train) [34][3020/3757] lr: 1.000e-02 eta: 19:00:21 time: 0.251 data_time: 0.014 memory: 6404 grad_norm: 5.7763 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7220 loss: 1.7220 2022/06/30 00:31:01 - mmengine - INFO - Epoch(train) [34][3040/3757] lr: 1.000e-02 eta: 19:00:15 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 5.4699 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3917 loss: 2.3917 2022/06/30 00:31:07 - mmengine - INFO - Epoch(train) [34][3060/3757] lr: 1.000e-02 eta: 19:00:11 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.9190 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6908 loss: 1.6908 2022/06/30 00:31:12 - mmengine - INFO - Epoch(train) [34][3080/3757] lr: 1.000e-02 eta: 19:00:05 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.4791 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4181 loss: 2.4181 2022/06/30 00:31:18 - mmengine - INFO - Epoch(train) [34][3100/3757] lr: 1.000e-02 eta: 18:59:59 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 6.1922 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6562 loss: 1.6562 2022/06/30 00:31:23 - mmengine - INFO - Epoch(train) [34][3120/3757] lr: 1.000e-02 eta: 18:59:54 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 4.8624 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4408 loss: 2.4408 2022/06/30 00:31:29 - mmengine - INFO - Epoch(train) [34][3140/3757] lr: 1.000e-02 eta: 18:59:48 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 6.8400 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4957 loss: 1.4957 2022/06/30 00:31:35 - mmengine - INFO - Epoch(train) [34][3160/3757] lr: 1.000e-02 eta: 18:59:43 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 5.6649 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9366 loss: 1.9366 2022/06/30 00:31:40 - mmengine - INFO - Epoch(train) [34][3180/3757] lr: 1.000e-02 eta: 18:59:38 time: 0.419 data_time: 0.007 memory: 6404 grad_norm: 5.3521 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4778 loss: 2.4778 2022/06/30 00:31:46 - mmengine - INFO - Epoch(train) [34][3200/3757] lr: 1.000e-02 eta: 18:59:33 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.7965 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8960 loss: 1.8960 2022/06/30 00:31:51 - mmengine - INFO - Epoch(train) [34][3220/3757] lr: 1.000e-02 eta: 18:59:27 time: 0.244 data_time: 0.017 memory: 6404 grad_norm: 5.6298 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7506 loss: 1.7506 2022/06/30 00:31:56 - mmengine - INFO - Epoch(train) [34][3240/3757] lr: 1.000e-02 eta: 18:59:21 time: 0.279 data_time: 0.009 memory: 6404 grad_norm: 5.5368 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9282 loss: 1.9282 2022/06/30 00:32:02 - mmengine - INFO - Epoch(train) [34][3260/3757] lr: 1.000e-02 eta: 18:59:15 time: 0.239 data_time: 0.006 memory: 6404 grad_norm: 4.8218 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5955 loss: 1.5955 2022/06/30 00:32:07 - mmengine - INFO - Epoch(train) [34][3280/3757] lr: 1.000e-02 eta: 18:59:09 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 6.6347 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9140 loss: 1.9140 2022/06/30 00:32:13 - mmengine - INFO - Epoch(train) [34][3300/3757] lr: 1.000e-02 eta: 18:59:04 time: 0.525 data_time: 0.009 memory: 6404 grad_norm: 5.9532 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9755 loss: 1.9755 2022/06/30 00:32:18 - mmengine - INFO - Epoch(train) [34][3320/3757] lr: 1.000e-02 eta: 18:58:58 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.2548 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9645 loss: 1.9645 2022/06/30 00:32:24 - mmengine - INFO - Epoch(train) [34][3340/3757] lr: 1.000e-02 eta: 18:58:53 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.2917 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8007 loss: 1.8007 2022/06/30 00:32:30 - mmengine - INFO - Epoch(train) [34][3360/3757] lr: 1.000e-02 eta: 18:58:48 time: 0.590 data_time: 0.009 memory: 6404 grad_norm: 5.1874 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7170 loss: 1.7170 2022/06/30 00:32:35 - mmengine - INFO - Epoch(train) [34][3380/3757] lr: 1.000e-02 eta: 18:58:42 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.7074 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4088 loss: 2.4088 2022/06/30 00:32:41 - mmengine - INFO - Epoch(train) [34][3400/3757] lr: 1.000e-02 eta: 18:58:37 time: 0.270 data_time: 0.007 memory: 6404 grad_norm: 5.1082 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0920 loss: 2.0920 2022/06/30 00:32:47 - mmengine - INFO - Epoch(train) [34][3420/3757] lr: 1.000e-02 eta: 18:58:32 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 4.9258 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5174 loss: 1.5174 2022/06/30 00:32:52 - mmengine - INFO - Epoch(train) [34][3440/3757] lr: 1.000e-02 eta: 18:58:27 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.8969 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0314 loss: 2.0314 2022/06/30 00:32:58 - mmengine - INFO - Epoch(train) [34][3460/3757] lr: 1.000e-02 eta: 18:58:21 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.8435 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0418 loss: 2.0418 2022/06/30 00:33:03 - mmengine - INFO - Epoch(train) [34][3480/3757] lr: 1.000e-02 eta: 18:58:15 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.2299 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5998 loss: 1.5998 2022/06/30 00:33:08 - mmengine - INFO - Epoch(train) [34][3500/3757] lr: 1.000e-02 eta: 18:58:09 time: 0.240 data_time: 0.006 memory: 6404 grad_norm: 5.9638 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0401 loss: 2.0401 2022/06/30 00:33:14 - mmengine - INFO - Epoch(train) [34][3520/3757] lr: 1.000e-02 eta: 18:58:05 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 5.4163 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7996 loss: 1.7996 2022/06/30 00:33:19 - mmengine - INFO - Epoch(train) [34][3540/3757] lr: 1.000e-02 eta: 18:57:59 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.3413 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8201 loss: 1.8201 2022/06/30 00:33:25 - mmengine - INFO - Epoch(train) [34][3560/3757] lr: 1.000e-02 eta: 18:57:54 time: 0.288 data_time: 0.006 memory: 6404 grad_norm: 4.9418 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5365 loss: 1.5365 2022/06/30 00:33:31 - mmengine - INFO - Epoch(train) [34][3580/3757] lr: 1.000e-02 eta: 18:57:48 time: 0.237 data_time: 0.010 memory: 6404 grad_norm: 5.8962 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5342 loss: 1.5342 2022/06/30 00:33:36 - mmengine - INFO - Epoch(train) [34][3600/3757] lr: 1.000e-02 eta: 18:57:42 time: 0.243 data_time: 0.006 memory: 6404 grad_norm: 5.0445 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6352 loss: 1.6352 2022/06/30 00:33:41 - mmengine - INFO - Epoch(train) [34][3620/3757] lr: 1.000e-02 eta: 18:57:36 time: 0.240 data_time: 0.006 memory: 6404 grad_norm: 5.6383 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7895 loss: 1.7895 2022/06/30 00:33:47 - mmengine - INFO - Epoch(train) [34][3640/3757] lr: 1.000e-02 eta: 18:57:31 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 5.3791 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.7817 loss: 1.7817 2022/06/30 00:33:52 - mmengine - INFO - Epoch(train) [34][3660/3757] lr: 1.000e-02 eta: 18:57:25 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 6.6109 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4211 loss: 2.4211 2022/06/30 00:33:57 - mmengine - INFO - Epoch(train) [34][3680/3757] lr: 1.000e-02 eta: 18:57:19 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.2677 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0358 loss: 2.0358 2022/06/30 00:34:03 - mmengine - INFO - Epoch(train) [34][3700/3757] lr: 1.000e-02 eta: 18:57:14 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 6.2931 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8061 loss: 1.8061 2022/06/30 00:34:09 - mmengine - INFO - Epoch(train) [34][3720/3757] lr: 1.000e-02 eta: 18:57:09 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 6.0668 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.0033 loss: 2.0033 2022/06/30 00:34:15 - mmengine - INFO - Epoch(train) [34][3740/3757] lr: 1.000e-02 eta: 18:57:04 time: 0.482 data_time: 0.012 memory: 6404 grad_norm: 5.9609 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0283 loss: 2.0283 2022/06/30 00:34:19 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 00:34:26 - mmengine - INFO - Epoch(val) [34][20/310] eta: 0:01:23 time: 0.087 data_time: 0.013 memory: 6404 2022/06/30 00:34:31 - mmengine - INFO - Epoch(val) [34][40/310] eta: 0:01:18 time: 0.095 data_time: 0.007 memory: 1479 2022/06/30 00:34:36 - mmengine - INFO - Epoch(val) [34][60/310] eta: 0:00:23 time: 0.081 data_time: 0.005 memory: 1479 2022/06/30 00:34:42 - mmengine - INFO - Epoch(val) [34][80/310] eta: 0:01:27 time: 0.079 data_time: 0.006 memory: 1479 2022/06/30 00:34:48 - mmengine - INFO - Epoch(val) [34][100/310] eta: 0:01:04 time: 0.104 data_time: 0.012 memory: 1479 2022/06/30 00:34:52 - mmengine - INFO - Epoch(val) [34][120/310] eta: 0:00:29 time: 0.081 data_time: 0.007 memory: 1479 2022/06/30 00:34:58 - mmengine - INFO - Epoch(val) [34][140/310] eta: 0:00:50 time: 0.538 data_time: 0.466 memory: 1479 2022/06/30 00:35:04 - mmengine - INFO - Epoch(val) [34][160/310] eta: 0:00:54 time: 0.549 data_time: 0.461 memory: 1479 2022/06/30 00:35:08 - mmengine - INFO - Epoch(val) [34][180/310] eta: 0:00:29 time: 0.076 data_time: 0.005 memory: 1479 2022/06/30 00:35:15 - mmengine - INFO - Epoch(val) [34][200/310] eta: 0:00:33 time: 0.094 data_time: 0.021 memory: 1479 2022/06/30 00:35:21 - mmengine - INFO - Epoch(val) [34][220/310] eta: 0:00:30 time: 0.100 data_time: 0.011 memory: 1479 2022/06/30 00:35:25 - mmengine - INFO - Epoch(val) [34][240/310] eta: 0:00:20 time: 0.081 data_time: 0.005 memory: 1479 2022/06/30 00:35:31 - mmengine - INFO - Epoch(val) [34][260/310] eta: 0:00:14 time: 0.537 data_time: 0.464 memory: 1479 2022/06/30 00:35:36 - mmengine - INFO - Epoch(val) [34][280/310] eta: 0:00:09 time: 0.092 data_time: 0.010 memory: 1479 2022/06/30 00:35:40 - mmengine - INFO - Epoch(val) [34][300/310] eta: 0:00:01 time: 0.077 data_time: 0.004 memory: 1479 2022/06/30 00:35:42 - mmengine - INFO - Epoch(val) [34][310/310] acc/top1: 0.5729 acc/top5: 0.8116 acc/mean1: 0.5729 2022/06/30 00:35:51 - mmengine - INFO - Epoch(train) [35][20/3757] lr: 1.000e-02 eta: 18:56:56 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.8740 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8120 loss: 1.8120 2022/06/30 00:35:57 - mmengine - INFO - Epoch(train) [35][40/3757] lr: 1.000e-02 eta: 18:56:51 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.4751 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7368 loss: 1.7368 2022/06/30 00:36:03 - mmengine - INFO - Epoch(train) [35][60/3757] lr: 1.000e-02 eta: 18:56:45 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 5.3522 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2706 loss: 2.2706 2022/06/30 00:36:08 - mmengine - INFO - Epoch(train) [35][80/3757] lr: 1.000e-02 eta: 18:56:39 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.6126 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4892 loss: 1.4892 2022/06/30 00:36:14 - mmengine - INFO - Epoch(train) [35][100/3757] lr: 1.000e-02 eta: 18:56:35 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.6073 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5881 loss: 1.5881 2022/06/30 00:36:20 - mmengine - INFO - Epoch(train) [35][120/3757] lr: 1.000e-02 eta: 18:56:30 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.0158 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0763 loss: 2.0763 2022/06/30 00:36:25 - mmengine - INFO - Epoch(train) [35][140/3757] lr: 1.000e-02 eta: 18:56:24 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 6.4074 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9008 loss: 1.9008 2022/06/30 00:36:32 - mmengine - INFO - Epoch(train) [35][160/3757] lr: 1.000e-02 eta: 18:56:20 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.2284 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7243 loss: 1.7243 2022/06/30 00:36:37 - mmengine - INFO - Epoch(train) [35][180/3757] lr: 1.000e-02 eta: 18:56:14 time: 0.235 data_time: 0.011 memory: 6404 grad_norm: 4.7895 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7397 loss: 1.7397 2022/06/30 00:36:42 - mmengine - INFO - Epoch(train) [35][200/3757] lr: 1.000e-02 eta: 18:56:08 time: 0.242 data_time: 0.009 memory: 6404 grad_norm: 5.9775 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2092 loss: 2.2092 2022/06/30 00:36:47 - mmengine - INFO - Epoch(train) [35][220/3757] lr: 1.000e-02 eta: 18:56:02 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 5.8076 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9014 loss: 1.9014 2022/06/30 00:36:52 - mmengine - INFO - Epoch(train) [35][240/3757] lr: 1.000e-02 eta: 18:55:56 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 5.4307 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4739 loss: 1.4739 2022/06/30 00:36:58 - mmengine - INFO - Epoch(train) [35][260/3757] lr: 1.000e-02 eta: 18:55:50 time: 0.240 data_time: 0.008 memory: 6404 grad_norm: 6.1339 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3092 loss: 2.3092 2022/06/30 00:36:58 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 00:37:04 - mmengine - INFO - Epoch(train) [35][280/3757] lr: 1.000e-02 eta: 18:55:45 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 5.4120 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9773 loss: 1.9773 2022/06/30 00:37:09 - mmengine - INFO - Epoch(train) [35][300/3757] lr: 1.000e-02 eta: 18:55:39 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 6.1536 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1966 loss: 2.1966 2022/06/30 00:37:15 - mmengine - INFO - Epoch(train) [35][320/3757] lr: 1.000e-02 eta: 18:55:35 time: 0.318 data_time: 0.023 memory: 6404 grad_norm: 5.3279 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6383 loss: 1.6383 2022/06/30 00:37:20 - mmengine - INFO - Epoch(train) [35][340/3757] lr: 1.000e-02 eta: 18:55:29 time: 0.558 data_time: 0.029 memory: 6404 grad_norm: 6.2563 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5755 loss: 1.5755 2022/06/30 00:37:26 - mmengine - INFO - Epoch(train) [35][360/3757] lr: 1.000e-02 eta: 18:55:23 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.3321 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5657 loss: 1.5657 2022/06/30 00:37:31 - mmengine - INFO - Epoch(train) [35][380/3757] lr: 1.000e-02 eta: 18:55:18 time: 0.271 data_time: 0.014 memory: 6404 grad_norm: 5.4685 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7563 loss: 1.7563 2022/06/30 00:37:37 - mmengine - INFO - Epoch(train) [35][400/3757] lr: 1.000e-02 eta: 18:55:12 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 6.8991 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8421 loss: 1.8421 2022/06/30 00:37:42 - mmengine - INFO - Epoch(train) [35][420/3757] lr: 1.000e-02 eta: 18:55:07 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.5671 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3990 loss: 2.3990 2022/06/30 00:37:48 - mmengine - INFO - Epoch(train) [35][440/3757] lr: 1.000e-02 eta: 18:55:02 time: 0.256 data_time: 0.019 memory: 6404 grad_norm: 5.4392 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6556 loss: 1.6556 2022/06/30 00:37:54 - mmengine - INFO - Epoch(train) [35][460/3757] lr: 1.000e-02 eta: 18:54:57 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 5.9148 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9742 loss: 1.9742 2022/06/30 00:37:59 - mmengine - INFO - Epoch(train) [35][480/3757] lr: 1.000e-02 eta: 18:54:51 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 4.9076 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8947 loss: 1.8947 2022/06/30 00:38:04 - mmengine - INFO - Epoch(train) [35][500/3757] lr: 1.000e-02 eta: 18:54:45 time: 0.286 data_time: 0.014 memory: 6404 grad_norm: 6.2723 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8441 loss: 1.8441 2022/06/30 00:38:10 - mmengine - INFO - Epoch(train) [35][520/3757] lr: 1.000e-02 eta: 18:54:40 time: 0.856 data_time: 0.007 memory: 6404 grad_norm: 6.2496 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2471 loss: 2.2471 2022/06/30 00:38:15 - mmengine - INFO - Epoch(train) [35][540/3757] lr: 1.000e-02 eta: 18:54:34 time: 0.272 data_time: 0.011 memory: 6404 grad_norm: 5.8700 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8410 loss: 1.8410 2022/06/30 00:38:20 - mmengine - INFO - Epoch(train) [35][560/3757] lr: 1.000e-02 eta: 18:54:28 time: 0.243 data_time: 0.019 memory: 6404 grad_norm: 5.6246 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7084 loss: 1.7084 2022/06/30 00:38:26 - mmengine - INFO - Epoch(train) [35][580/3757] lr: 1.000e-02 eta: 18:54:23 time: 0.544 data_time: 0.007 memory: 6404 grad_norm: 4.9436 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1042 loss: 2.1042 2022/06/30 00:38:32 - mmengine - INFO - Epoch(train) [35][600/3757] lr: 1.000e-02 eta: 18:54:17 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.6725 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7526 loss: 1.7526 2022/06/30 00:38:38 - mmengine - INFO - Epoch(train) [35][620/3757] lr: 1.000e-02 eta: 18:54:12 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 5.9673 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8887 loss: 1.8887 2022/06/30 00:38:43 - mmengine - INFO - Epoch(train) [35][640/3757] lr: 1.000e-02 eta: 18:54:06 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 6.1826 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8821 loss: 1.8821 2022/06/30 00:38:49 - mmengine - INFO - Epoch(train) [35][660/3757] lr: 1.000e-02 eta: 18:54:02 time: 0.650 data_time: 0.013 memory: 6404 grad_norm: 5.2990 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1115 loss: 2.1115 2022/06/30 00:38:54 - mmengine - INFO - Epoch(train) [35][680/3757] lr: 1.000e-02 eta: 18:53:56 time: 0.261 data_time: 0.011 memory: 6404 grad_norm: 5.2163 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0583 loss: 2.0583 2022/06/30 00:39:00 - mmengine - INFO - Epoch(train) [35][700/3757] lr: 1.000e-02 eta: 18:53:50 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 5.6958 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3988 loss: 2.3988 2022/06/30 00:39:05 - mmengine - INFO - Epoch(train) [35][720/3757] lr: 1.000e-02 eta: 18:53:44 time: 0.414 data_time: 0.010 memory: 6404 grad_norm: 5.0259 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6768 loss: 1.6768 2022/06/30 00:39:11 - mmengine - INFO - Epoch(train) [35][740/3757] lr: 1.000e-02 eta: 18:53:40 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.0229 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4921 loss: 1.4921 2022/06/30 00:39:17 - mmengine - INFO - Epoch(train) [35][760/3757] lr: 1.000e-02 eta: 18:53:35 time: 0.654 data_time: 0.007 memory: 6404 grad_norm: 5.6682 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7964 loss: 1.7964 2022/06/30 00:39:22 - mmengine - INFO - Epoch(train) [35][780/3757] lr: 1.000e-02 eta: 18:53:28 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.4676 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8717 loss: 1.8717 2022/06/30 00:39:28 - mmengine - INFO - Epoch(train) [35][800/3757] lr: 1.000e-02 eta: 18:53:23 time: 0.251 data_time: 0.017 memory: 6404 grad_norm: 6.1019 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9404 loss: 1.9404 2022/06/30 00:39:33 - mmengine - INFO - Epoch(train) [35][820/3757] lr: 1.000e-02 eta: 18:53:19 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 5.4746 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0394 loss: 2.0394 2022/06/30 00:39:39 - mmengine - INFO - Epoch(train) [35][840/3757] lr: 1.000e-02 eta: 18:53:12 time: 0.270 data_time: 0.008 memory: 6404 grad_norm: 4.9238 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3218 loss: 2.3218 2022/06/30 00:39:44 - mmengine - INFO - Epoch(train) [35][860/3757] lr: 1.000e-02 eta: 18:53:07 time: 0.247 data_time: 0.014 memory: 6404 grad_norm: 5.7605 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1416 loss: 2.1416 2022/06/30 00:39:50 - mmengine - INFO - Epoch(train) [35][880/3757] lr: 1.000e-02 eta: 18:53:02 time: 0.684 data_time: 0.008 memory: 6404 grad_norm: 5.3428 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8857 loss: 1.8857 2022/06/30 00:39:55 - mmengine - INFO - Epoch(train) [35][900/3757] lr: 1.000e-02 eta: 18:52:56 time: 0.273 data_time: 0.009 memory: 6404 grad_norm: 5.1506 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6815 loss: 1.6815 2022/06/30 00:40:00 - mmengine - INFO - Epoch(train) [35][920/3757] lr: 1.000e-02 eta: 18:52:50 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 5.2404 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8996 loss: 1.8996 2022/06/30 00:40:07 - mmengine - INFO - Epoch(train) [35][940/3757] lr: 1.000e-02 eta: 18:52:46 time: 0.679 data_time: 0.007 memory: 6404 grad_norm: 5.1378 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9788 loss: 1.9788 2022/06/30 00:40:12 - mmengine - INFO - Epoch(train) [35][960/3757] lr: 1.000e-02 eta: 18:52:39 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.6632 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8679 loss: 1.8679 2022/06/30 00:40:17 - mmengine - INFO - Epoch(train) [35][980/3757] lr: 1.000e-02 eta: 18:52:34 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.1046 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7183 loss: 1.7183 2022/06/30 00:40:23 - mmengine - INFO - Epoch(train) [35][1000/3757] lr: 1.000e-02 eta: 18:52:29 time: 0.245 data_time: 0.009 memory: 6404 grad_norm: 5.7000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8811 loss: 1.8811 2022/06/30 00:40:28 - mmengine - INFO - Epoch(train) [35][1020/3757] lr: 1.000e-02 eta: 18:52:22 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 6.0318 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9552 loss: 1.9552 2022/06/30 00:40:34 - mmengine - INFO - Epoch(train) [35][1040/3757] lr: 1.000e-02 eta: 18:52:18 time: 0.246 data_time: 0.019 memory: 6404 grad_norm: 5.7953 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7834 loss: 1.7834 2022/06/30 00:40:39 - mmengine - INFO - Epoch(train) [35][1060/3757] lr: 1.000e-02 eta: 18:52:12 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 5.3315 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8516 loss: 1.8516 2022/06/30 00:40:45 - mmengine - INFO - Epoch(train) [35][1080/3757] lr: 1.000e-02 eta: 18:52:06 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 5.4446 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1770 loss: 2.1770 2022/06/30 00:40:50 - mmengine - INFO - Epoch(train) [35][1100/3757] lr: 1.000e-02 eta: 18:52:01 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 6.2469 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6570 loss: 1.6570 2022/06/30 00:40:56 - mmengine - INFO - Epoch(train) [35][1120/3757] lr: 1.000e-02 eta: 18:51:55 time: 0.259 data_time: 0.017 memory: 6404 grad_norm: 6.4213 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1757 loss: 2.1757 2022/06/30 00:41:01 - mmengine - INFO - Epoch(train) [35][1140/3757] lr: 1.000e-02 eta: 18:51:49 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 5.7804 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8527 loss: 1.8527 2022/06/30 00:41:07 - mmengine - INFO - Epoch(train) [35][1160/3757] lr: 1.000e-02 eta: 18:51:44 time: 0.269 data_time: 0.018 memory: 6404 grad_norm: 5.1965 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9638 loss: 1.9638 2022/06/30 00:41:13 - mmengine - INFO - Epoch(train) [35][1180/3757] lr: 1.000e-02 eta: 18:51:40 time: 0.259 data_time: 0.014 memory: 6404 grad_norm: 6.2159 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6028 loss: 1.6028 2022/06/30 00:41:18 - mmengine - INFO - Epoch(train) [35][1200/3757] lr: 1.000e-02 eta: 18:51:34 time: 0.240 data_time: 0.012 memory: 6404 grad_norm: 5.4016 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4548 loss: 2.4548 2022/06/30 00:41:24 - mmengine - INFO - Epoch(train) [35][1220/3757] lr: 1.000e-02 eta: 18:51:28 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.3129 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9874 loss: 1.9874 2022/06/30 00:41:29 - mmengine - INFO - Epoch(train) [35][1240/3757] lr: 1.000e-02 eta: 18:51:23 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 5.9442 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5284 loss: 2.5284 2022/06/30 00:41:34 - mmengine - INFO - Epoch(train) [35][1260/3757] lr: 1.000e-02 eta: 18:51:16 time: 0.261 data_time: 0.011 memory: 6404 grad_norm: 6.0571 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7512 loss: 1.7512 2022/06/30 00:41:35 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 00:41:40 - mmengine - INFO - Epoch(train) [35][1280/3757] lr: 1.000e-02 eta: 18:51:11 time: 0.270 data_time: 0.006 memory: 6404 grad_norm: 6.0793 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3026 loss: 2.3026 2022/06/30 00:41:45 - mmengine - INFO - Epoch(train) [35][1300/3757] lr: 1.000e-02 eta: 18:51:06 time: 0.442 data_time: 0.028 memory: 6404 grad_norm: 6.6159 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9888 loss: 1.9888 2022/06/30 00:41:51 - mmengine - INFO - Epoch(train) [35][1320/3757] lr: 1.000e-02 eta: 18:51:00 time: 0.255 data_time: 0.012 memory: 6404 grad_norm: 6.0162 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3756 loss: 2.3756 2022/06/30 00:41:56 - mmengine - INFO - Epoch(train) [35][1340/3757] lr: 1.000e-02 eta: 18:50:54 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 5.3832 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0332 loss: 2.0332 2022/06/30 00:42:01 - mmengine - INFO - Epoch(train) [35][1360/3757] lr: 1.000e-02 eta: 18:50:48 time: 0.266 data_time: 0.011 memory: 6404 grad_norm: 5.3586 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0390 loss: 2.0390 2022/06/30 00:42:07 - mmengine - INFO - Epoch(train) [35][1380/3757] lr: 1.000e-02 eta: 18:50:43 time: 0.248 data_time: 0.018 memory: 6404 grad_norm: 5.6917 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8692 loss: 1.8692 2022/06/30 00:42:12 - mmengine - INFO - Epoch(train) [35][1400/3757] lr: 1.000e-02 eta: 18:50:37 time: 0.404 data_time: 0.009 memory: 6404 grad_norm: 5.6785 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0627 loss: 2.0627 2022/06/30 00:42:18 - mmengine - INFO - Epoch(train) [35][1420/3757] lr: 1.000e-02 eta: 18:50:32 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.9273 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8214 loss: 1.8214 2022/06/30 00:42:23 - mmengine - INFO - Epoch(train) [35][1440/3757] lr: 1.000e-02 eta: 18:50:26 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 6.5862 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3827 loss: 2.3827 2022/06/30 00:42:29 - mmengine - INFO - Epoch(train) [35][1460/3757] lr: 1.000e-02 eta: 18:50:21 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 5.8875 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9087 loss: 1.9087 2022/06/30 00:42:35 - mmengine - INFO - Epoch(train) [35][1480/3757] lr: 1.000e-02 eta: 18:50:15 time: 0.517 data_time: 0.008 memory: 6404 grad_norm: 6.0581 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8662 loss: 1.8662 2022/06/30 00:42:40 - mmengine - INFO - Epoch(train) [35][1500/3757] lr: 1.000e-02 eta: 18:50:10 time: 0.240 data_time: 0.016 memory: 6404 grad_norm: 4.7836 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7677 loss: 1.7677 2022/06/30 00:42:46 - mmengine - INFO - Epoch(train) [35][1520/3757] lr: 1.000e-02 eta: 18:50:05 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.8049 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6679 loss: 1.6679 2022/06/30 00:42:52 - mmengine - INFO - Epoch(train) [35][1540/3757] lr: 1.000e-02 eta: 18:50:00 time: 0.266 data_time: 0.008 memory: 6404 grad_norm: 5.7080 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2211 loss: 2.2211 2022/06/30 00:42:57 - mmengine - INFO - Epoch(train) [35][1560/3757] lr: 1.000e-02 eta: 18:49:54 time: 0.250 data_time: 0.015 memory: 6404 grad_norm: 6.3045 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6661 loss: 1.6661 2022/06/30 00:43:02 - mmengine - INFO - Epoch(train) [35][1580/3757] lr: 1.000e-02 eta: 18:49:48 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.9806 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9707 loss: 1.9707 2022/06/30 00:43:08 - mmengine - INFO - Epoch(train) [35][1600/3757] lr: 1.000e-02 eta: 18:49:43 time: 0.265 data_time: 0.011 memory: 6404 grad_norm: 5.0292 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7719 loss: 1.7719 2022/06/30 00:43:13 - mmengine - INFO - Epoch(train) [35][1620/3757] lr: 1.000e-02 eta: 18:49:37 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 6.2743 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1485 loss: 2.1485 2022/06/30 00:43:19 - mmengine - INFO - Epoch(train) [35][1640/3757] lr: 1.000e-02 eta: 18:49:31 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 6.7624 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9246 loss: 1.9246 2022/06/30 00:43:24 - mmengine - INFO - Epoch(train) [35][1660/3757] lr: 1.000e-02 eta: 18:49:26 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 5.4914 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0890 loss: 2.0890 2022/06/30 00:43:30 - mmengine - INFO - Epoch(train) [35][1680/3757] lr: 1.000e-02 eta: 18:49:21 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 5.7452 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2607 loss: 2.2607 2022/06/30 00:43:35 - mmengine - INFO - Epoch(train) [35][1700/3757] lr: 1.000e-02 eta: 18:49:15 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 5.9220 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0547 loss: 2.0547 2022/06/30 00:43:41 - mmengine - INFO - Epoch(train) [35][1720/3757] lr: 1.000e-02 eta: 18:49:09 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.7489 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2864 loss: 2.2864 2022/06/30 00:43:46 - mmengine - INFO - Epoch(train) [35][1740/3757] lr: 1.000e-02 eta: 18:49:04 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 5.2098 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5310 loss: 1.5310 2022/06/30 00:43:51 - mmengine - INFO - Epoch(train) [35][1760/3757] lr: 1.000e-02 eta: 18:48:58 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.3208 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0642 loss: 2.0642 2022/06/30 00:43:57 - mmengine - INFO - Epoch(train) [35][1780/3757] lr: 1.000e-02 eta: 18:48:53 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 6.2441 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7395 loss: 1.7395 2022/06/30 00:44:03 - mmengine - INFO - Epoch(train) [35][1800/3757] lr: 1.000e-02 eta: 18:48:48 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 6.0542 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0317 loss: 2.0317 2022/06/30 00:44:08 - mmengine - INFO - Epoch(train) [35][1820/3757] lr: 1.000e-02 eta: 18:48:42 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 5.0780 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5979 loss: 1.5979 2022/06/30 00:44:14 - mmengine - INFO - Epoch(train) [35][1840/3757] lr: 1.000e-02 eta: 18:48:37 time: 0.247 data_time: 0.027 memory: 6404 grad_norm: 5.8385 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8595 loss: 1.8595 2022/06/30 00:44:19 - mmengine - INFO - Epoch(train) [35][1860/3757] lr: 1.000e-02 eta: 18:48:31 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 6.6349 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6968 loss: 1.6968 2022/06/30 00:44:25 - mmengine - INFO - Epoch(train) [35][1880/3757] lr: 1.000e-02 eta: 18:48:25 time: 0.277 data_time: 0.008 memory: 6404 grad_norm: 6.0121 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2374 loss: 2.2374 2022/06/30 00:44:30 - mmengine - INFO - Epoch(train) [35][1900/3757] lr: 1.000e-02 eta: 18:48:19 time: 0.247 data_time: 0.015 memory: 6404 grad_norm: 6.3667 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9018 loss: 1.9018 2022/06/30 00:44:36 - mmengine - INFO - Epoch(train) [35][1920/3757] lr: 1.000e-02 eta: 18:48:14 time: 0.411 data_time: 0.070 memory: 6404 grad_norm: 4.8891 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8892 loss: 1.8892 2022/06/30 00:44:41 - mmengine - INFO - Epoch(train) [35][1940/3757] lr: 1.000e-02 eta: 18:48:09 time: 0.593 data_time: 0.016 memory: 6404 grad_norm: 6.0241 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1712 loss: 2.1712 2022/06/30 00:44:47 - mmengine - INFO - Epoch(train) [35][1960/3757] lr: 1.000e-02 eta: 18:48:03 time: 0.246 data_time: 0.013 memory: 6404 grad_norm: 5.7554 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7062 loss: 1.7062 2022/06/30 00:44:52 - mmengine - INFO - Epoch(train) [35][1980/3757] lr: 1.000e-02 eta: 18:47:58 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 5.6564 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8814 loss: 1.8814 2022/06/30 00:44:58 - mmengine - INFO - Epoch(train) [35][2000/3757] lr: 1.000e-02 eta: 18:47:53 time: 0.269 data_time: 0.023 memory: 6404 grad_norm: 5.5647 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7939 loss: 1.7939 2022/06/30 00:45:04 - mmengine - INFO - Epoch(train) [35][2020/3757] lr: 1.000e-02 eta: 18:47:47 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 5.5060 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0182 loss: 2.0182 2022/06/30 00:45:10 - mmengine - INFO - Epoch(train) [35][2040/3757] lr: 1.000e-02 eta: 18:47:42 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.5862 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7654 loss: 1.7654 2022/06/30 00:45:15 - mmengine - INFO - Epoch(train) [35][2060/3757] lr: 1.000e-02 eta: 18:47:37 time: 0.254 data_time: 0.016 memory: 6404 grad_norm: 6.5376 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3862 loss: 2.3862 2022/06/30 00:45:21 - mmengine - INFO - Epoch(train) [35][2080/3757] lr: 1.000e-02 eta: 18:47:32 time: 0.244 data_time: 0.018 memory: 6404 grad_norm: 6.1920 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4968 loss: 2.4968 2022/06/30 00:45:26 - mmengine - INFO - Epoch(train) [35][2100/3757] lr: 1.000e-02 eta: 18:47:27 time: 0.271 data_time: 0.026 memory: 6404 grad_norm: 5.6575 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1132 loss: 2.1132 2022/06/30 00:45:31 - mmengine - INFO - Epoch(train) [35][2120/3757] lr: 1.000e-02 eta: 18:47:20 time: 0.272 data_time: 0.010 memory: 6404 grad_norm: 6.6644 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2537 loss: 2.2537 2022/06/30 00:45:37 - mmengine - INFO - Epoch(train) [35][2140/3757] lr: 1.000e-02 eta: 18:47:15 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.8100 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8686 loss: 1.8686 2022/06/30 00:45:42 - mmengine - INFO - Epoch(train) [35][2160/3757] lr: 1.000e-02 eta: 18:47:09 time: 0.263 data_time: 0.009 memory: 6404 grad_norm: 5.7391 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8236 loss: 1.8236 2022/06/30 00:45:48 - mmengine - INFO - Epoch(train) [35][2180/3757] lr: 1.000e-02 eta: 18:47:04 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 5.3896 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9519 loss: 1.9519 2022/06/30 00:45:54 - mmengine - INFO - Epoch(train) [35][2200/3757] lr: 1.000e-02 eta: 18:46:59 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 5.2871 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6398 loss: 1.6398 2022/06/30 00:45:59 - mmengine - INFO - Epoch(train) [35][2220/3757] lr: 1.000e-02 eta: 18:46:54 time: 0.259 data_time: 0.017 memory: 6404 grad_norm: 4.8060 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0580 loss: 2.0580 2022/06/30 00:46:05 - mmengine - INFO - Epoch(train) [35][2240/3757] lr: 1.000e-02 eta: 18:46:47 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 6.5338 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4175 loss: 1.4175 2022/06/30 00:46:10 - mmengine - INFO - Epoch(train) [35][2260/3757] lr: 1.000e-02 eta: 18:46:42 time: 0.248 data_time: 0.022 memory: 6404 grad_norm: 5.6319 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.7929 loss: 1.7929 2022/06/30 00:46:11 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 00:46:16 - mmengine - INFO - Epoch(train) [35][2280/3757] lr: 1.000e-02 eta: 18:46:37 time: 0.834 data_time: 0.008 memory: 6404 grad_norm: 5.3929 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6024 loss: 1.6024 2022/06/30 00:46:22 - mmengine - INFO - Epoch(train) [35][2300/3757] lr: 1.000e-02 eta: 18:46:32 time: 0.262 data_time: 0.010 memory: 6404 grad_norm: 5.4550 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3097 loss: 2.3097 2022/06/30 00:46:27 - mmengine - INFO - Epoch(train) [35][2320/3757] lr: 1.000e-02 eta: 18:46:26 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 6.0059 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5127 loss: 2.5127 2022/06/30 00:46:32 - mmengine - INFO - Epoch(train) [35][2340/3757] lr: 1.000e-02 eta: 18:46:20 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 6.0546 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8886 loss: 1.8886 2022/06/30 00:46:37 - mmengine - INFO - Epoch(train) [35][2360/3757] lr: 1.000e-02 eta: 18:46:14 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.6496 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2392 loss: 2.2392 2022/06/30 00:46:43 - mmengine - INFO - Epoch(train) [35][2380/3757] lr: 1.000e-02 eta: 18:46:08 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.0499 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9138 loss: 1.9138 2022/06/30 00:46:48 - mmengine - INFO - Epoch(train) [35][2400/3757] lr: 1.000e-02 eta: 18:46:02 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.4649 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4529 loss: 1.4529 2022/06/30 00:46:54 - mmengine - INFO - Epoch(train) [35][2420/3757] lr: 1.000e-02 eta: 18:45:57 time: 0.405 data_time: 0.008 memory: 6404 grad_norm: 5.9417 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7632 loss: 1.7632 2022/06/30 00:47:00 - mmengine - INFO - Epoch(train) [35][2440/3757] lr: 1.000e-02 eta: 18:45:52 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.0141 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0526 loss: 2.0526 2022/06/30 00:47:05 - mmengine - INFO - Epoch(train) [35][2460/3757] lr: 1.000e-02 eta: 18:45:46 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 6.3926 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7583 loss: 1.7583 2022/06/30 00:47:10 - mmengine - INFO - Epoch(train) [35][2480/3757] lr: 1.000e-02 eta: 18:45:41 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 5.2196 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6521 loss: 1.6521 2022/06/30 00:47:17 - mmengine - INFO - Epoch(train) [35][2500/3757] lr: 1.000e-02 eta: 18:45:38 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.9879 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9314 loss: 1.9314 2022/06/30 00:47:23 - mmengine - INFO - Epoch(train) [35][2520/3757] lr: 1.000e-02 eta: 18:45:32 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.4670 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7471 loss: 1.7471 2022/06/30 00:47:28 - mmengine - INFO - Epoch(train) [35][2540/3757] lr: 1.000e-02 eta: 18:45:26 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 5.7947 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9955 loss: 1.9955 2022/06/30 00:47:33 - mmengine - INFO - Epoch(train) [35][2560/3757] lr: 1.000e-02 eta: 18:45:20 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 4.9823 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4326 loss: 2.4326 2022/06/30 00:47:38 - mmengine - INFO - Epoch(train) [35][2580/3757] lr: 1.000e-02 eta: 18:45:14 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.1395 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5818 loss: 1.5818 2022/06/30 00:47:43 - mmengine - INFO - Epoch(train) [35][2600/3757] lr: 1.000e-02 eta: 18:45:07 time: 0.241 data_time: 0.014 memory: 6404 grad_norm: 5.3115 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1973 loss: 2.1973 2022/06/30 00:47:48 - mmengine - INFO - Epoch(train) [35][2620/3757] lr: 1.000e-02 eta: 18:45:01 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 5.2419 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8654 loss: 1.8654 2022/06/30 00:47:54 - mmengine - INFO - Epoch(train) [35][2640/3757] lr: 1.000e-02 eta: 18:44:55 time: 0.247 data_time: 0.014 memory: 6404 grad_norm: 5.1517 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0464 loss: 2.0464 2022/06/30 00:48:00 - mmengine - INFO - Epoch(train) [35][2660/3757] lr: 1.000e-02 eta: 18:44:51 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 6.4695 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9944 loss: 1.9944 2022/06/30 00:48:05 - mmengine - INFO - Epoch(train) [35][2680/3757] lr: 1.000e-02 eta: 18:44:44 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.3851 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1290 loss: 2.1290 2022/06/30 00:48:11 - mmengine - INFO - Epoch(train) [35][2700/3757] lr: 1.000e-02 eta: 18:44:40 time: 0.250 data_time: 0.014 memory: 6404 grad_norm: 5.6515 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9628 loss: 1.9628 2022/06/30 00:48:16 - mmengine - INFO - Epoch(train) [35][2720/3757] lr: 1.000e-02 eta: 18:44:34 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 6.3824 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8580 loss: 1.8580 2022/06/30 00:48:22 - mmengine - INFO - Epoch(train) [35][2740/3757] lr: 1.000e-02 eta: 18:44:28 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 5.1468 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6789 loss: 1.6789 2022/06/30 00:48:27 - mmengine - INFO - Epoch(train) [35][2760/3757] lr: 1.000e-02 eta: 18:44:23 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 4.8715 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6917 loss: 1.6917 2022/06/30 00:48:33 - mmengine - INFO - Epoch(train) [35][2780/3757] lr: 1.000e-02 eta: 18:44:18 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.7402 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3245 loss: 2.3245 2022/06/30 00:48:38 - mmengine - INFO - Epoch(train) [35][2800/3757] lr: 1.000e-02 eta: 18:44:12 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 5.8000 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9672 loss: 1.9672 2022/06/30 00:48:44 - mmengine - INFO - Epoch(train) [35][2820/3757] lr: 1.000e-02 eta: 18:44:07 time: 0.542 data_time: 0.355 memory: 6404 grad_norm: 5.7856 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9321 loss: 1.9321 2022/06/30 00:48:50 - mmengine - INFO - Epoch(train) [35][2840/3757] lr: 1.000e-02 eta: 18:44:02 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 4.7771 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7383 loss: 1.7383 2022/06/30 00:48:55 - mmengine - INFO - Epoch(train) [35][2860/3757] lr: 1.000e-02 eta: 18:43:57 time: 0.322 data_time: 0.007 memory: 6404 grad_norm: 5.8103 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1779 loss: 2.1779 2022/06/30 00:49:01 - mmengine - INFO - Epoch(train) [35][2880/3757] lr: 1.000e-02 eta: 18:43:51 time: 0.247 data_time: 0.022 memory: 6404 grad_norm: 6.5394 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0993 loss: 2.0993 2022/06/30 00:49:06 - mmengine - INFO - Epoch(train) [35][2900/3757] lr: 1.000e-02 eta: 18:43:46 time: 0.284 data_time: 0.016 memory: 6404 grad_norm: 5.8567 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4748 loss: 1.4748 2022/06/30 00:49:12 - mmengine - INFO - Epoch(train) [35][2920/3757] lr: 1.000e-02 eta: 18:43:40 time: 0.505 data_time: 0.007 memory: 6404 grad_norm: 5.1221 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4593 loss: 2.4593 2022/06/30 00:49:17 - mmengine - INFO - Epoch(train) [35][2940/3757] lr: 1.000e-02 eta: 18:43:34 time: 0.260 data_time: 0.070 memory: 6404 grad_norm: 6.1280 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1024 loss: 2.1024 2022/06/30 00:49:23 - mmengine - INFO - Epoch(train) [35][2960/3757] lr: 1.000e-02 eta: 18:43:29 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.0993 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1232 loss: 2.1232 2022/06/30 00:49:28 - mmengine - INFO - Epoch(train) [35][2980/3757] lr: 1.000e-02 eta: 18:43:23 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 5.7004 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8916 loss: 1.8916 2022/06/30 00:49:33 - mmengine - INFO - Epoch(train) [35][3000/3757] lr: 1.000e-02 eta: 18:43:17 time: 0.247 data_time: 0.033 memory: 6404 grad_norm: 6.0445 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6687 loss: 1.6687 2022/06/30 00:49:39 - mmengine - INFO - Epoch(train) [35][3020/3757] lr: 1.000e-02 eta: 18:43:12 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 5.5284 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8496 loss: 1.8496 2022/06/30 00:49:44 - mmengine - INFO - Epoch(train) [35][3040/3757] lr: 1.000e-02 eta: 18:43:06 time: 0.269 data_time: 0.008 memory: 6404 grad_norm: 5.7752 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9012 loss: 1.9012 2022/06/30 00:49:50 - mmengine - INFO - Epoch(train) [35][3060/3757] lr: 1.000e-02 eta: 18:43:01 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 5.2163 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1107 loss: 2.1107 2022/06/30 00:49:56 - mmengine - INFO - Epoch(train) [35][3080/3757] lr: 1.000e-02 eta: 18:42:56 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 5.6277 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9517 loss: 1.9517 2022/06/30 00:50:01 - mmengine - INFO - Epoch(train) [35][3100/3757] lr: 1.000e-02 eta: 18:42:50 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.8415 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6811 loss: 1.6811 2022/06/30 00:50:08 - mmengine - INFO - Epoch(train) [35][3120/3757] lr: 1.000e-02 eta: 18:42:46 time: 0.261 data_time: 0.013 memory: 6404 grad_norm: 5.5970 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0259 loss: 2.0259 2022/06/30 00:50:13 - mmengine - INFO - Epoch(train) [35][3140/3757] lr: 1.000e-02 eta: 18:42:40 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.9610 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1496 loss: 2.1496 2022/06/30 00:50:18 - mmengine - INFO - Epoch(train) [35][3160/3757] lr: 1.000e-02 eta: 18:42:34 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 4.8664 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7327 loss: 1.7327 2022/06/30 00:50:23 - mmengine - INFO - Epoch(train) [35][3180/3757] lr: 1.000e-02 eta: 18:42:28 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 5.7742 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7674 loss: 1.7674 2022/06/30 00:50:29 - mmengine - INFO - Epoch(train) [35][3200/3757] lr: 1.000e-02 eta: 18:42:23 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.4965 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4277 loss: 1.4277 2022/06/30 00:50:34 - mmengine - INFO - Epoch(train) [35][3220/3757] lr: 1.000e-02 eta: 18:42:16 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.5095 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0965 loss: 2.0965 2022/06/30 00:50:40 - mmengine - INFO - Epoch(train) [35][3240/3757] lr: 1.000e-02 eta: 18:42:11 time: 0.239 data_time: 0.012 memory: 6404 grad_norm: 6.5222 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9431 loss: 1.9431 2022/06/30 00:50:45 - mmengine - INFO - Epoch(train) [35][3260/3757] lr: 1.000e-02 eta: 18:42:06 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 5.9297 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1424 loss: 2.1424 2022/06/30 00:50:46 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 00:50:51 - mmengine - INFO - Epoch(train) [35][3280/3757] lr: 1.000e-02 eta: 18:42:00 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 5.5418 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7165 loss: 1.7165 2022/06/30 00:50:57 - mmengine - INFO - Epoch(train) [35][3300/3757] lr: 1.000e-02 eta: 18:41:55 time: 0.284 data_time: 0.010 memory: 6404 grad_norm: 5.7647 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6330 loss: 1.6330 2022/06/30 00:51:02 - mmengine - INFO - Epoch(train) [35][3320/3757] lr: 1.000e-02 eta: 18:41:49 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 5.1956 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1008 loss: 2.1008 2022/06/30 00:51:07 - mmengine - INFO - Epoch(train) [35][3340/3757] lr: 1.000e-02 eta: 18:41:44 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 5.0643 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6979 loss: 1.6979 2022/06/30 00:51:13 - mmengine - INFO - Epoch(train) [35][3360/3757] lr: 1.000e-02 eta: 18:41:38 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 6.1872 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8369 loss: 1.8369 2022/06/30 00:51:19 - mmengine - INFO - Epoch(train) [35][3380/3757] lr: 1.000e-02 eta: 18:41:34 time: 0.271 data_time: 0.007 memory: 6404 grad_norm: 4.7568 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6518 loss: 1.6518 2022/06/30 00:51:25 - mmengine - INFO - Epoch(train) [35][3400/3757] lr: 1.000e-02 eta: 18:41:29 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 6.1858 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3975 loss: 2.3975 2022/06/30 00:51:30 - mmengine - INFO - Epoch(train) [35][3420/3757] lr: 1.000e-02 eta: 18:41:24 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 5.8236 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8178 loss: 1.8178 2022/06/30 00:51:35 - mmengine - INFO - Epoch(train) [35][3440/3757] lr: 1.000e-02 eta: 18:41:17 time: 0.258 data_time: 0.015 memory: 6404 grad_norm: 5.9052 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0593 loss: 2.0593 2022/06/30 00:51:41 - mmengine - INFO - Epoch(train) [35][3460/3757] lr: 1.000e-02 eta: 18:41:11 time: 0.259 data_time: 0.012 memory: 6404 grad_norm: 5.1318 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7019 loss: 1.7019 2022/06/30 00:51:46 - mmengine - INFO - Epoch(train) [35][3480/3757] lr: 1.000e-02 eta: 18:41:05 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 5.3106 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6593 loss: 1.6593 2022/06/30 00:51:52 - mmengine - INFO - Epoch(train) [35][3500/3757] lr: 1.000e-02 eta: 18:41:00 time: 0.268 data_time: 0.018 memory: 6404 grad_norm: 5.9989 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8842 loss: 1.8842 2022/06/30 00:51:57 - mmengine - INFO - Epoch(train) [35][3520/3757] lr: 1.000e-02 eta: 18:40:55 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.4854 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8140 loss: 1.8140 2022/06/30 00:52:03 - mmengine - INFO - Epoch(train) [35][3540/3757] lr: 1.000e-02 eta: 18:40:49 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.4814 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0418 loss: 2.0418 2022/06/30 00:52:09 - mmengine - INFO - Epoch(train) [35][3560/3757] lr: 1.000e-02 eta: 18:40:45 time: 0.270 data_time: 0.048 memory: 6404 grad_norm: 6.2714 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8409 loss: 1.8409 2022/06/30 00:52:14 - mmengine - INFO - Epoch(train) [35][3580/3757] lr: 1.000e-02 eta: 18:40:39 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 5.5090 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2218 loss: 2.2218 2022/06/30 00:52:19 - mmengine - INFO - Epoch(train) [35][3600/3757] lr: 1.000e-02 eta: 18:40:33 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 5.6036 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4761 loss: 1.4761 2022/06/30 00:52:25 - mmengine - INFO - Epoch(train) [35][3620/3757] lr: 1.000e-02 eta: 18:40:27 time: 0.261 data_time: 0.044 memory: 6404 grad_norm: 5.1463 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8027 loss: 1.8027 2022/06/30 00:52:30 - mmengine - INFO - Epoch(train) [35][3640/3757] lr: 1.000e-02 eta: 18:40:21 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 5.1610 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8630 loss: 1.8630 2022/06/30 00:52:35 - mmengine - INFO - Epoch(train) [35][3660/3757] lr: 1.000e-02 eta: 18:40:15 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 6.8089 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0221 loss: 2.0221 2022/06/30 00:52:41 - mmengine - INFO - Epoch(train) [35][3680/3757] lr: 1.000e-02 eta: 18:40:10 time: 0.373 data_time: 0.183 memory: 6404 grad_norm: 5.5823 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1207 loss: 2.1207 2022/06/30 00:52:46 - mmengine - INFO - Epoch(train) [35][3700/3757] lr: 1.000e-02 eta: 18:40:04 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 6.0421 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5916 loss: 1.5916 2022/06/30 00:52:52 - mmengine - INFO - Epoch(train) [35][3720/3757] lr: 1.000e-02 eta: 18:40:00 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 5.7579 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6790 loss: 1.6790 2022/06/30 00:52:58 - mmengine - INFO - Epoch(train) [35][3740/3757] lr: 1.000e-02 eta: 18:39:55 time: 0.260 data_time: 0.035 memory: 6404 grad_norm: 4.6641 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1684 loss: 2.1684 2022/06/30 00:53:02 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 00:53:02 - mmengine - INFO - Saving checkpoint at 35 epochs 2022/06/30 00:53:14 - mmengine - INFO - Epoch(val) [35][20/310] eta: 0:00:56 time: 0.082 data_time: 0.008 memory: 6404 2022/06/30 00:53:19 - mmengine - INFO - Epoch(val) [35][40/310] eta: 0:01:07 time: 0.645 data_time: 0.569 memory: 1479 2022/06/30 00:53:24 - mmengine - INFO - Epoch(val) [35][60/310] eta: 0:01:01 time: 0.081 data_time: 0.006 memory: 1479 2022/06/30 00:53:29 - mmengine - INFO - Epoch(val) [35][80/310] eta: 0:01:10 time: 0.151 data_time: 0.076 memory: 1479 2022/06/30 00:53:35 - mmengine - INFO - Epoch(val) [35][100/310] eta: 0:01:05 time: 1.344 data_time: 1.260 memory: 1479 2022/06/30 00:53:39 - mmengine - INFO - Epoch(val) [35][120/310] eta: 0:00:49 time: 0.082 data_time: 0.005 memory: 1479 2022/06/30 00:53:45 - mmengine - INFO - Epoch(val) [35][140/310] eta: 0:00:46 time: 0.283 data_time: 0.198 memory: 1479 2022/06/30 00:53:51 - mmengine - INFO - Epoch(val) [35][160/310] eta: 0:00:54 time: 2.026 data_time: 1.938 memory: 1479 2022/06/30 00:53:55 - mmengine - INFO - Epoch(val) [35][180/310] eta: 0:00:42 time: 0.078 data_time: 0.005 memory: 1479 2022/06/30 00:54:01 - mmengine - INFO - Epoch(val) [35][200/310] eta: 0:00:31 time: 0.089 data_time: 0.010 memory: 1479 2022/06/30 00:54:06 - mmengine - INFO - Epoch(val) [35][220/310] eta: 0:00:25 time: 1.047 data_time: 0.964 memory: 1479 2022/06/30 00:54:11 - mmengine - INFO - Epoch(val) [35][240/310] eta: 0:00:17 time: 0.086 data_time: 0.007 memory: 1479 2022/06/30 00:54:17 - mmengine - INFO - Epoch(val) [35][260/310] eta: 0:00:16 time: 0.118 data_time: 0.017 memory: 1479 2022/06/30 00:54:22 - mmengine - INFO - Epoch(val) [35][280/310] eta: 0:00:08 time: 0.752 data_time: 0.655 memory: 1479 2022/06/30 00:54:25 - mmengine - INFO - Epoch(val) [35][300/310] eta: 0:00:01 time: 0.078 data_time: 0.005 memory: 1479 2022/06/30 00:54:28 - mmengine - INFO - Epoch(val) [35][310/310] acc/top1: 0.5816 acc/top5: 0.8138 acc/mean1: 0.5816 2022/06/30 00:54:37 - mmengine - INFO - Epoch(train) [36][20/3757] lr: 1.000e-02 eta: 18:39:46 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 6.6173 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3758 loss: 1.3758 2022/06/30 00:54:43 - mmengine - INFO - Epoch(train) [36][40/3757] lr: 1.000e-02 eta: 18:39:42 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.7007 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8777 loss: 1.8777 2022/06/30 00:54:49 - mmengine - INFO - Epoch(train) [36][60/3757] lr: 1.000e-02 eta: 18:39:36 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.3111 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6370 loss: 1.6370 2022/06/30 00:54:54 - mmengine - INFO - Epoch(train) [36][80/3757] lr: 1.000e-02 eta: 18:39:30 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.8085 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0967 loss: 2.0967 2022/06/30 00:55:00 - mmengine - INFO - Epoch(train) [36][100/3757] lr: 1.000e-02 eta: 18:39:25 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.5189 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5944 loss: 1.5944 2022/06/30 00:55:05 - mmengine - INFO - Epoch(train) [36][120/3757] lr: 1.000e-02 eta: 18:39:20 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.1842 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2609 loss: 2.2609 2022/06/30 00:55:11 - mmengine - INFO - Epoch(train) [36][140/3757] lr: 1.000e-02 eta: 18:39:16 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.5412 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6716 loss: 1.6716 2022/06/30 00:55:17 - mmengine - INFO - Epoch(train) [36][160/3757] lr: 1.000e-02 eta: 18:39:10 time: 0.275 data_time: 0.007 memory: 6404 grad_norm: 5.8973 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7808 loss: 1.7808 2022/06/30 00:55:22 - mmengine - INFO - Epoch(train) [36][180/3757] lr: 1.000e-02 eta: 18:39:05 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 6.2045 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5905 loss: 1.5905 2022/06/30 00:55:29 - mmengine - INFO - Epoch(train) [36][200/3757] lr: 1.000e-02 eta: 18:39:01 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 5.5556 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6808 loss: 1.6808 2022/06/30 00:55:34 - mmengine - INFO - Epoch(train) [36][220/3757] lr: 1.000e-02 eta: 18:38:55 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 6.3966 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5892 loss: 1.5892 2022/06/30 00:55:39 - mmengine - INFO - Epoch(train) [36][240/3757] lr: 1.000e-02 eta: 18:38:49 time: 0.243 data_time: 0.012 memory: 6404 grad_norm: 5.5005 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6414 loss: 1.6414 2022/06/30 00:55:45 - mmengine - INFO - Epoch(train) [36][260/3757] lr: 1.000e-02 eta: 18:38:43 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 6.5667 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6532 loss: 1.6532 2022/06/30 00:55:50 - mmengine - INFO - Epoch(train) [36][280/3757] lr: 1.000e-02 eta: 18:38:38 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.7957 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4138 loss: 1.4138 2022/06/30 00:55:56 - mmengine - INFO - Epoch(train) [36][300/3757] lr: 1.000e-02 eta: 18:38:32 time: 0.249 data_time: 0.014 memory: 6404 grad_norm: 6.2447 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8870 loss: 1.8870 2022/06/30 00:56:01 - mmengine - INFO - Epoch(train) [36][320/3757] lr: 1.000e-02 eta: 18:38:26 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 4.7199 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1380 loss: 2.1380 2022/06/30 00:56:06 - mmengine - INFO - Epoch(train) [36][340/3757] lr: 1.000e-02 eta: 18:38:21 time: 0.530 data_time: 0.007 memory: 6404 grad_norm: 6.0969 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7792 loss: 1.7792 2022/06/30 00:56:12 - mmengine - INFO - Epoch(train) [36][360/3757] lr: 1.000e-02 eta: 18:38:15 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 6.0260 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7025 loss: 1.7025 2022/06/30 00:56:18 - mmengine - INFO - Epoch(train) [36][380/3757] lr: 1.000e-02 eta: 18:38:10 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.3276 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3140 loss: 2.3140 2022/06/30 00:56:23 - mmengine - INFO - Epoch(train) [36][400/3757] lr: 1.000e-02 eta: 18:38:04 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 6.3799 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7049 loss: 1.7049 2022/06/30 00:56:29 - mmengine - INFO - Epoch(train) [36][420/3757] lr: 1.000e-02 eta: 18:37:59 time: 0.241 data_time: 0.011 memory: 6404 grad_norm: 5.6395 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9025 loss: 1.9025 2022/06/30 00:56:34 - mmengine - INFO - Epoch(train) [36][440/3757] lr: 1.000e-02 eta: 18:37:53 time: 0.259 data_time: 0.013 memory: 6404 grad_norm: 5.6225 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0744 loss: 2.0744 2022/06/30 00:56:40 - mmengine - INFO - Epoch(train) [36][460/3757] lr: 1.000e-02 eta: 18:37:48 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.3002 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6230 loss: 1.6230 2022/06/30 00:56:45 - mmengine - INFO - Epoch(train) [36][480/3757] lr: 1.000e-02 eta: 18:37:42 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.2922 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6187 loss: 1.6187 2022/06/30 00:56:51 - mmengine - INFO - Epoch(train) [36][500/3757] lr: 1.000e-02 eta: 18:37:37 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.6579 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5226 loss: 1.5226 2022/06/30 00:56:52 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 00:56:56 - mmengine - INFO - Epoch(train) [36][520/3757] lr: 1.000e-02 eta: 18:37:31 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.5967 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8575 loss: 1.8575 2022/06/30 00:57:02 - mmengine - INFO - Epoch(train) [36][540/3757] lr: 1.000e-02 eta: 18:37:26 time: 0.253 data_time: 0.019 memory: 6404 grad_norm: 5.1369 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0642 loss: 2.0642 2022/06/30 00:57:08 - mmengine - INFO - Epoch(train) [36][560/3757] lr: 1.000e-02 eta: 18:37:23 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 5.4034 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8282 loss: 1.8282 2022/06/30 00:57:14 - mmengine - INFO - Epoch(train) [36][580/3757] lr: 1.000e-02 eta: 18:37:16 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 6.0558 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7264 loss: 1.7264 2022/06/30 00:57:19 - mmengine - INFO - Epoch(train) [36][600/3757] lr: 1.000e-02 eta: 18:37:10 time: 0.246 data_time: 0.015 memory: 6404 grad_norm: 5.0067 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0474 loss: 2.0474 2022/06/30 00:57:24 - mmengine - INFO - Epoch(train) [36][620/3757] lr: 1.000e-02 eta: 18:37:04 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.4892 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6322 loss: 1.6322 2022/06/30 00:57:29 - mmengine - INFO - Epoch(train) [36][640/3757] lr: 1.000e-02 eta: 18:36:58 time: 0.266 data_time: 0.006 memory: 6404 grad_norm: 6.5670 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0616 loss: 2.0616 2022/06/30 00:57:34 - mmengine - INFO - Epoch(train) [36][660/3757] lr: 1.000e-02 eta: 18:36:52 time: 0.253 data_time: 0.015 memory: 6404 grad_norm: 5.6593 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1200 loss: 2.1200 2022/06/30 00:57:39 - mmengine - INFO - Epoch(train) [36][680/3757] lr: 1.000e-02 eta: 18:36:46 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 5.1198 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9483 loss: 1.9483 2022/06/30 00:57:45 - mmengine - INFO - Epoch(train) [36][700/3757] lr: 1.000e-02 eta: 18:36:40 time: 0.247 data_time: 0.013 memory: 6404 grad_norm: 6.9492 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5699 loss: 1.5699 2022/06/30 00:57:51 - mmengine - INFO - Epoch(train) [36][720/3757] lr: 1.000e-02 eta: 18:36:35 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 5.7874 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7093 loss: 1.7093 2022/06/30 00:57:56 - mmengine - INFO - Epoch(train) [36][740/3757] lr: 1.000e-02 eta: 18:36:29 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.9111 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.8086 loss: 1.8086 2022/06/30 00:58:01 - mmengine - INFO - Epoch(train) [36][760/3757] lr: 1.000e-02 eta: 18:36:24 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 6.4099 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0993 loss: 2.0993 2022/06/30 00:58:08 - mmengine - INFO - Epoch(train) [36][780/3757] lr: 1.000e-02 eta: 18:36:20 time: 0.297 data_time: 0.017 memory: 6404 grad_norm: 6.1302 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6369 loss: 1.6369 2022/06/30 00:58:13 - mmengine - INFO - Epoch(train) [36][800/3757] lr: 1.000e-02 eta: 18:36:13 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.6857 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9794 loss: 1.9794 2022/06/30 00:58:18 - mmengine - INFO - Epoch(train) [36][820/3757] lr: 1.000e-02 eta: 18:36:08 time: 0.365 data_time: 0.006 memory: 6404 grad_norm: 5.2318 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0387 loss: 2.0387 2022/06/30 00:58:24 - mmengine - INFO - Epoch(train) [36][840/3757] lr: 1.000e-02 eta: 18:36:02 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.9155 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5800 loss: 1.5800 2022/06/30 00:58:30 - mmengine - INFO - Epoch(train) [36][860/3757] lr: 1.000e-02 eta: 18:35:57 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 6.1017 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8445 loss: 1.8445 2022/06/30 00:58:35 - mmengine - INFO - Epoch(train) [36][880/3757] lr: 1.000e-02 eta: 18:35:51 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 5.4192 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2200 loss: 2.2200 2022/06/30 00:58:41 - mmengine - INFO - Epoch(train) [36][900/3757] lr: 1.000e-02 eta: 18:35:46 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.0188 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8321 loss: 1.8321 2022/06/30 00:58:46 - mmengine - INFO - Epoch(train) [36][920/3757] lr: 1.000e-02 eta: 18:35:41 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.2518 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7327 loss: 1.7327 2022/06/30 00:58:51 - mmengine - INFO - Epoch(train) [36][940/3757] lr: 1.000e-02 eta: 18:35:35 time: 0.267 data_time: 0.006 memory: 6404 grad_norm: 6.0474 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2058 loss: 2.2058 2022/06/30 00:58:57 - mmengine - INFO - Epoch(train) [36][960/3757] lr: 1.000e-02 eta: 18:35:29 time: 0.337 data_time: 0.008 memory: 6404 grad_norm: 5.5400 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5627 loss: 1.5627 2022/06/30 00:59:02 - mmengine - INFO - Epoch(train) [36][980/3757] lr: 1.000e-02 eta: 18:35:23 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 4.3642 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8051 loss: 1.8051 2022/06/30 00:59:08 - mmengine - INFO - Epoch(train) [36][1000/3757] lr: 1.000e-02 eta: 18:35:18 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 5.4858 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0064 loss: 2.0064 2022/06/30 00:59:14 - mmengine - INFO - Epoch(train) [36][1020/3757] lr: 1.000e-02 eta: 18:35:13 time: 0.245 data_time: 0.009 memory: 6404 grad_norm: 5.0960 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7455 loss: 1.7455 2022/06/30 00:59:19 - mmengine - INFO - Epoch(train) [36][1040/3757] lr: 1.000e-02 eta: 18:35:08 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.5036 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4755 loss: 2.4755 2022/06/30 00:59:24 - mmengine - INFO - Epoch(train) [36][1060/3757] lr: 1.000e-02 eta: 18:35:02 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 6.1954 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9200 loss: 1.9200 2022/06/30 00:59:30 - mmengine - INFO - Epoch(train) [36][1080/3757] lr: 1.000e-02 eta: 18:34:56 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.9210 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1041 loss: 2.1041 2022/06/30 00:59:36 - mmengine - INFO - Epoch(train) [36][1100/3757] lr: 1.000e-02 eta: 18:34:51 time: 0.246 data_time: 0.012 memory: 6404 grad_norm: 5.0640 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9290 loss: 1.9290 2022/06/30 00:59:41 - mmengine - INFO - Epoch(train) [36][1120/3757] lr: 1.000e-02 eta: 18:34:46 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 6.1250 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8894 loss: 1.8894 2022/06/30 00:59:47 - mmengine - INFO - Epoch(train) [36][1140/3757] lr: 1.000e-02 eta: 18:34:41 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 7.1325 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9866 loss: 1.9866 2022/06/30 00:59:52 - mmengine - INFO - Epoch(train) [36][1160/3757] lr: 1.000e-02 eta: 18:34:35 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.7547 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2825 loss: 2.2825 2022/06/30 00:59:58 - mmengine - INFO - Epoch(train) [36][1180/3757] lr: 1.000e-02 eta: 18:34:29 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 5.2734 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9287 loss: 1.9287 2022/06/30 01:00:03 - mmengine - INFO - Epoch(train) [36][1200/3757] lr: 1.000e-02 eta: 18:34:23 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.0116 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8994 loss: 1.8994 2022/06/30 01:00:09 - mmengine - INFO - Epoch(train) [36][1220/3757] lr: 1.000e-02 eta: 18:34:19 time: 0.241 data_time: 0.010 memory: 6404 grad_norm: 6.0765 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0876 loss: 2.0876 2022/06/30 01:00:14 - mmengine - INFO - Epoch(train) [36][1240/3757] lr: 1.000e-02 eta: 18:34:13 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 6.0206 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7990 loss: 1.7990 2022/06/30 01:00:20 - mmengine - INFO - Epoch(train) [36][1260/3757] lr: 1.000e-02 eta: 18:34:08 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 6.1835 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8959 loss: 1.8959 2022/06/30 01:00:26 - mmengine - INFO - Epoch(train) [36][1280/3757] lr: 1.000e-02 eta: 18:34:02 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.5497 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5356 loss: 1.5356 2022/06/30 01:00:31 - mmengine - INFO - Epoch(train) [36][1300/3757] lr: 1.000e-02 eta: 18:33:56 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 5.2340 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2441 loss: 2.2441 2022/06/30 01:00:36 - mmengine - INFO - Epoch(train) [36][1320/3757] lr: 1.000e-02 eta: 18:33:50 time: 0.358 data_time: 0.010 memory: 6404 grad_norm: 6.3325 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4219 loss: 2.4219 2022/06/30 01:00:42 - mmengine - INFO - Epoch(train) [36][1340/3757] lr: 1.000e-02 eta: 18:33:46 time: 0.239 data_time: 0.010 memory: 6404 grad_norm: 5.4500 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7081 loss: 1.7081 2022/06/30 01:00:48 - mmengine - INFO - Epoch(train) [36][1360/3757] lr: 1.000e-02 eta: 18:33:40 time: 0.271 data_time: 0.010 memory: 6404 grad_norm: 5.1971 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1856 loss: 2.1856 2022/06/30 01:00:54 - mmengine - INFO - Epoch(train) [36][1380/3757] lr: 1.000e-02 eta: 18:33:35 time: 0.275 data_time: 0.009 memory: 6404 grad_norm: 5.6361 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7926 loss: 1.7926 2022/06/30 01:00:59 - mmengine - INFO - Epoch(train) [36][1400/3757] lr: 1.000e-02 eta: 18:33:29 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.3445 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9259 loss: 1.9259 2022/06/30 01:01:04 - mmengine - INFO - Epoch(train) [36][1420/3757] lr: 1.000e-02 eta: 18:33:24 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 5.4193 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0731 loss: 2.0731 2022/06/30 01:01:10 - mmengine - INFO - Epoch(train) [36][1440/3757] lr: 1.000e-02 eta: 18:33:18 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.6244 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6854 loss: 1.6854 2022/06/30 01:01:16 - mmengine - INFO - Epoch(train) [36][1460/3757] lr: 1.000e-02 eta: 18:33:13 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 5.6143 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0984 loss: 2.0984 2022/06/30 01:01:21 - mmengine - INFO - Epoch(train) [36][1480/3757] lr: 1.000e-02 eta: 18:33:08 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 5.1578 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1791 loss: 2.1791 2022/06/30 01:01:27 - mmengine - INFO - Epoch(train) [36][1500/3757] lr: 1.000e-02 eta: 18:33:02 time: 0.267 data_time: 0.010 memory: 6404 grad_norm: 5.7332 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0908 loss: 2.0908 2022/06/30 01:01:28 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 01:01:32 - mmengine - INFO - Epoch(train) [36][1520/3757] lr: 1.000e-02 eta: 18:32:57 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 5.5754 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9173 loss: 1.9173 2022/06/30 01:01:38 - mmengine - INFO - Epoch(train) [36][1540/3757] lr: 1.000e-02 eta: 18:32:51 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 5.4239 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0514 loss: 2.0514 2022/06/30 01:01:43 - mmengine - INFO - Epoch(train) [36][1560/3757] lr: 1.000e-02 eta: 18:32:45 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 5.7006 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3598 loss: 1.3598 2022/06/30 01:01:49 - mmengine - INFO - Epoch(train) [36][1580/3757] lr: 1.000e-02 eta: 18:32:40 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 5.7645 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9440 loss: 1.9440 2022/06/30 01:01:54 - mmengine - INFO - Epoch(train) [36][1600/3757] lr: 1.000e-02 eta: 18:32:35 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.2935 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8093 loss: 1.8093 2022/06/30 01:02:00 - mmengine - INFO - Epoch(train) [36][1620/3757] lr: 1.000e-02 eta: 18:32:30 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 5.3926 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1751 loss: 2.1751 2022/06/30 01:02:05 - mmengine - INFO - Epoch(train) [36][1640/3757] lr: 1.000e-02 eta: 18:32:24 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 6.3505 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4985 loss: 2.4985 2022/06/30 01:02:11 - mmengine - INFO - Epoch(train) [36][1660/3757] lr: 1.000e-02 eta: 18:32:18 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.9036 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9175 loss: 1.9175 2022/06/30 01:02:16 - mmengine - INFO - Epoch(train) [36][1680/3757] lr: 1.000e-02 eta: 18:32:12 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 6.1944 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8438 loss: 1.8438 2022/06/30 01:02:21 - mmengine - INFO - Epoch(train) [36][1700/3757] lr: 1.000e-02 eta: 18:32:07 time: 0.243 data_time: 0.006 memory: 6404 grad_norm: 6.3414 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7608 loss: 1.7608 2022/06/30 01:02:27 - mmengine - INFO - Epoch(train) [36][1720/3757] lr: 1.000e-02 eta: 18:32:02 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 4.9652 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9108 loss: 1.9108 2022/06/30 01:02:33 - mmengine - INFO - Epoch(train) [36][1740/3757] lr: 1.000e-02 eta: 18:31:56 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 5.5903 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0176 loss: 2.0176 2022/06/30 01:02:39 - mmengine - INFO - Epoch(train) [36][1760/3757] lr: 1.000e-02 eta: 18:31:51 time: 0.251 data_time: 0.063 memory: 6404 grad_norm: 5.2793 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9267 loss: 1.9267 2022/06/30 01:02:44 - mmengine - INFO - Epoch(train) [36][1780/3757] lr: 1.000e-02 eta: 18:31:45 time: 0.264 data_time: 0.010 memory: 6404 grad_norm: 6.2965 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9578 loss: 1.9578 2022/06/30 01:02:49 - mmengine - INFO - Epoch(train) [36][1800/3757] lr: 1.000e-02 eta: 18:31:39 time: 0.241 data_time: 0.007 memory: 6404 grad_norm: 6.5045 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3177 loss: 1.3177 2022/06/30 01:02:54 - mmengine - INFO - Epoch(train) [36][1820/3757] lr: 1.000e-02 eta: 18:31:33 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.3188 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6707 loss: 1.6707 2022/06/30 01:03:00 - mmengine - INFO - Epoch(train) [36][1840/3757] lr: 1.000e-02 eta: 18:31:27 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.4154 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0597 loss: 2.0597 2022/06/30 01:03:05 - mmengine - INFO - Epoch(train) [36][1860/3757] lr: 1.000e-02 eta: 18:31:22 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 4.8390 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8602 loss: 1.8602 2022/06/30 01:03:11 - mmengine - INFO - Epoch(train) [36][1880/3757] lr: 1.000e-02 eta: 18:31:16 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 5.5669 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9689 loss: 1.9689 2022/06/30 01:03:16 - mmengine - INFO - Epoch(train) [36][1900/3757] lr: 1.000e-02 eta: 18:31:11 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.9215 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6631 loss: 1.6631 2022/06/30 01:03:22 - mmengine - INFO - Epoch(train) [36][1920/3757] lr: 1.000e-02 eta: 18:31:06 time: 0.254 data_time: 0.017 memory: 6404 grad_norm: 5.1411 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8921 loss: 1.8921 2022/06/30 01:03:28 - mmengine - INFO - Epoch(train) [36][1940/3757] lr: 1.000e-02 eta: 18:31:01 time: 0.255 data_time: 0.045 memory: 6404 grad_norm: 5.8847 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5773 loss: 1.5773 2022/06/30 01:03:33 - mmengine - INFO - Epoch(train) [36][1960/3757] lr: 1.000e-02 eta: 18:30:55 time: 0.256 data_time: 0.016 memory: 6404 grad_norm: 5.6985 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7587 loss: 1.7587 2022/06/30 01:03:38 - mmengine - INFO - Epoch(train) [36][1980/3757] lr: 1.000e-02 eta: 18:30:49 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.4509 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7128 loss: 1.7128 2022/06/30 01:03:44 - mmengine - INFO - Epoch(train) [36][2000/3757] lr: 1.000e-02 eta: 18:30:43 time: 0.289 data_time: 0.007 memory: 6404 grad_norm: 5.1541 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1727 loss: 2.1727 2022/06/30 01:03:49 - mmengine - INFO - Epoch(train) [36][2020/3757] lr: 1.000e-02 eta: 18:30:37 time: 0.259 data_time: 0.017 memory: 6404 grad_norm: 5.4904 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0416 loss: 2.0416 2022/06/30 01:03:54 - mmengine - INFO - Epoch(train) [36][2040/3757] lr: 1.000e-02 eta: 18:30:31 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 5.3197 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2540 loss: 2.2540 2022/06/30 01:04:00 - mmengine - INFO - Epoch(train) [36][2060/3757] lr: 1.000e-02 eta: 18:30:26 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 6.2021 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8734 loss: 1.8734 2022/06/30 01:04:05 - mmengine - INFO - Epoch(train) [36][2080/3757] lr: 1.000e-02 eta: 18:30:20 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 5.9155 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8554 loss: 1.8554 2022/06/30 01:04:10 - mmengine - INFO - Epoch(train) [36][2100/3757] lr: 1.000e-02 eta: 18:30:14 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.3383 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0076 loss: 2.0076 2022/06/30 01:04:16 - mmengine - INFO - Epoch(train) [36][2120/3757] lr: 1.000e-02 eta: 18:30:09 time: 0.323 data_time: 0.008 memory: 6404 grad_norm: 6.1762 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9320 loss: 1.9320 2022/06/30 01:04:22 - mmengine - INFO - Epoch(train) [36][2140/3757] lr: 1.000e-02 eta: 18:30:03 time: 0.527 data_time: 0.006 memory: 6404 grad_norm: 5.4934 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9628 loss: 1.9628 2022/06/30 01:04:28 - mmengine - INFO - Epoch(train) [36][2160/3757] lr: 1.000e-02 eta: 18:29:59 time: 0.432 data_time: 0.015 memory: 6404 grad_norm: 5.6703 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1321 loss: 2.1321 2022/06/30 01:04:33 - mmengine - INFO - Epoch(train) [36][2180/3757] lr: 1.000e-02 eta: 18:29:53 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 6.4367 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8973 loss: 1.8973 2022/06/30 01:04:39 - mmengine - INFO - Epoch(train) [36][2200/3757] lr: 1.000e-02 eta: 18:29:48 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.7335 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8429 loss: 1.8429 2022/06/30 01:04:44 - mmengine - INFO - Epoch(train) [36][2220/3757] lr: 1.000e-02 eta: 18:29:42 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.5478 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9018 loss: 1.9018 2022/06/30 01:04:50 - mmengine - INFO - Epoch(train) [36][2240/3757] lr: 1.000e-02 eta: 18:29:37 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 5.9549 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9884 loss: 1.9884 2022/06/30 01:04:55 - mmengine - INFO - Epoch(train) [36][2260/3757] lr: 1.000e-02 eta: 18:29:31 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 6.4337 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2872 loss: 2.2872 2022/06/30 01:05:01 - mmengine - INFO - Epoch(train) [36][2280/3757] lr: 1.000e-02 eta: 18:29:26 time: 0.849 data_time: 0.007 memory: 6404 grad_norm: 6.1912 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8538 loss: 1.8538 2022/06/30 01:05:06 - mmengine - INFO - Epoch(train) [36][2300/3757] lr: 1.000e-02 eta: 18:29:21 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.2791 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9020 loss: 1.9020 2022/06/30 01:05:12 - mmengine - INFO - Epoch(train) [36][2320/3757] lr: 1.000e-02 eta: 18:29:15 time: 0.243 data_time: 0.006 memory: 6404 grad_norm: 5.4359 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2254 loss: 2.2254 2022/06/30 01:05:18 - mmengine - INFO - Epoch(train) [36][2340/3757] lr: 1.000e-02 eta: 18:29:10 time: 0.682 data_time: 0.008 memory: 6404 grad_norm: 6.0681 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5118 loss: 1.5118 2022/06/30 01:05:23 - mmengine - INFO - Epoch(train) [36][2360/3757] lr: 1.000e-02 eta: 18:29:04 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.4505 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8667 loss: 1.8667 2022/06/30 01:05:29 - mmengine - INFO - Epoch(train) [36][2380/3757] lr: 1.000e-02 eta: 18:29:00 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.9318 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0671 loss: 2.0671 2022/06/30 01:05:34 - mmengine - INFO - Epoch(train) [36][2400/3757] lr: 1.000e-02 eta: 18:28:53 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 5.5368 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9008 loss: 1.9008 2022/06/30 01:05:40 - mmengine - INFO - Epoch(train) [36][2420/3757] lr: 1.000e-02 eta: 18:28:48 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.6924 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9936 loss: 1.9936 2022/06/30 01:05:45 - mmengine - INFO - Epoch(train) [36][2440/3757] lr: 1.000e-02 eta: 18:28:41 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.9613 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9110 loss: 1.9110 2022/06/30 01:05:50 - mmengine - INFO - Epoch(train) [36][2460/3757] lr: 1.000e-02 eta: 18:28:36 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 6.5213 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7916 loss: 1.7916 2022/06/30 01:05:55 - mmengine - INFO - Epoch(train) [36][2480/3757] lr: 1.000e-02 eta: 18:28:30 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.1825 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7361 loss: 1.7361 2022/06/30 01:06:01 - mmengine - INFO - Epoch(train) [36][2500/3757] lr: 1.000e-02 eta: 18:28:24 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 5.2530 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9980 loss: 1.9980 2022/06/30 01:06:02 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 01:06:06 - mmengine - INFO - Epoch(train) [36][2520/3757] lr: 1.000e-02 eta: 18:28:19 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 4.9917 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0723 loss: 2.0723 2022/06/30 01:06:12 - mmengine - INFO - Epoch(train) [36][2540/3757] lr: 1.000e-02 eta: 18:28:13 time: 0.241 data_time: 0.007 memory: 6404 grad_norm: 5.1507 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0220 loss: 2.0220 2022/06/30 01:06:18 - mmengine - INFO - Epoch(train) [36][2560/3757] lr: 1.000e-02 eta: 18:28:09 time: 0.431 data_time: 0.007 memory: 6404 grad_norm: 5.4164 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8119 loss: 1.8119 2022/06/30 01:06:24 - mmengine - INFO - Epoch(train) [36][2580/3757] lr: 1.000e-02 eta: 18:28:04 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 5.4462 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7013 loss: 1.7013 2022/06/30 01:06:29 - mmengine - INFO - Epoch(train) [36][2600/3757] lr: 1.000e-02 eta: 18:27:59 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.0949 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7061 loss: 1.7061 2022/06/30 01:06:35 - mmengine - INFO - Epoch(train) [36][2620/3757] lr: 1.000e-02 eta: 18:27:53 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 5.6065 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8208 loss: 1.8208 2022/06/30 01:06:40 - mmengine - INFO - Epoch(train) [36][2640/3757] lr: 1.000e-02 eta: 18:27:47 time: 0.241 data_time: 0.010 memory: 6404 grad_norm: 6.1765 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8628 loss: 1.8628 2022/06/30 01:06:45 - mmengine - INFO - Epoch(train) [36][2660/3757] lr: 1.000e-02 eta: 18:27:41 time: 0.390 data_time: 0.007 memory: 6404 grad_norm: 5.9779 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1342 loss: 2.1342 2022/06/30 01:06:51 - mmengine - INFO - Epoch(train) [36][2680/3757] lr: 1.000e-02 eta: 18:27:35 time: 0.242 data_time: 0.035 memory: 6404 grad_norm: 5.9678 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1755 loss: 2.1755 2022/06/30 01:06:56 - mmengine - INFO - Epoch(train) [36][2700/3757] lr: 1.000e-02 eta: 18:27:30 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 7.2535 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5809 loss: 1.5809 2022/06/30 01:07:02 - mmengine - INFO - Epoch(train) [36][2720/3757] lr: 1.000e-02 eta: 18:27:24 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 6.5116 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3722 loss: 2.3722 2022/06/30 01:07:07 - mmengine - INFO - Epoch(train) [36][2740/3757] lr: 1.000e-02 eta: 18:27:18 time: 0.248 data_time: 0.021 memory: 6404 grad_norm: 5.4917 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0333 loss: 2.0333 2022/06/30 01:07:13 - mmengine - INFO - Epoch(train) [36][2760/3757] lr: 1.000e-02 eta: 18:27:13 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 5.9248 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9243 loss: 1.9243 2022/06/30 01:07:19 - mmengine - INFO - Epoch(train) [36][2780/3757] lr: 1.000e-02 eta: 18:27:08 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 5.6964 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7282 loss: 1.7282 2022/06/30 01:07:24 - mmengine - INFO - Epoch(train) [36][2800/3757] lr: 1.000e-02 eta: 18:27:03 time: 0.249 data_time: 0.027 memory: 6404 grad_norm: 5.9149 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5401 loss: 1.5401 2022/06/30 01:07:30 - mmengine - INFO - Epoch(train) [36][2820/3757] lr: 1.000e-02 eta: 18:26:58 time: 0.282 data_time: 0.007 memory: 6404 grad_norm: 6.1113 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5534 loss: 1.5534 2022/06/30 01:07:35 - mmengine - INFO - Epoch(train) [36][2840/3757] lr: 1.000e-02 eta: 18:26:52 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 6.2182 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2617 loss: 2.2617 2022/06/30 01:07:41 - mmengine - INFO - Epoch(train) [36][2860/3757] lr: 1.000e-02 eta: 18:26:46 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 6.0627 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9504 loss: 1.9504 2022/06/30 01:07:46 - mmengine - INFO - Epoch(train) [36][2880/3757] lr: 1.000e-02 eta: 18:26:40 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 6.3912 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6452 loss: 1.6452 2022/06/30 01:07:51 - mmengine - INFO - Epoch(train) [36][2900/3757] lr: 1.000e-02 eta: 18:26:34 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 5.9018 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2111 loss: 2.2111 2022/06/30 01:07:57 - mmengine - INFO - Epoch(train) [36][2920/3757] lr: 1.000e-02 eta: 18:26:29 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.5582 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4271 loss: 1.4271 2022/06/30 01:08:02 - mmengine - INFO - Epoch(train) [36][2940/3757] lr: 1.000e-02 eta: 18:26:23 time: 0.241 data_time: 0.034 memory: 6404 grad_norm: 5.9834 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0092 loss: 2.0092 2022/06/30 01:08:08 - mmengine - INFO - Epoch(train) [36][2960/3757] lr: 1.000e-02 eta: 18:26:19 time: 0.263 data_time: 0.067 memory: 6404 grad_norm: 5.7007 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9672 loss: 1.9672 2022/06/30 01:08:13 - mmengine - INFO - Epoch(train) [36][2980/3757] lr: 1.000e-02 eta: 18:26:12 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 5.9212 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8044 loss: 1.8044 2022/06/30 01:08:19 - mmengine - INFO - Epoch(train) [36][3000/3757] lr: 1.000e-02 eta: 18:26:06 time: 0.245 data_time: 0.026 memory: 6404 grad_norm: 6.2567 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7446 loss: 1.7446 2022/06/30 01:08:24 - mmengine - INFO - Epoch(train) [36][3020/3757] lr: 1.000e-02 eta: 18:26:00 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 6.5734 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8400 loss: 1.8400 2022/06/30 01:08:29 - mmengine - INFO - Epoch(train) [36][3040/3757] lr: 1.000e-02 eta: 18:25:54 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.6258 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8684 loss: 1.8684 2022/06/30 01:08:35 - mmengine - INFO - Epoch(train) [36][3060/3757] lr: 1.000e-02 eta: 18:25:50 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.2131 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9466 loss: 1.9466 2022/06/30 01:08:40 - mmengine - INFO - Epoch(train) [36][3080/3757] lr: 1.000e-02 eta: 18:25:44 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 5.6561 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6866 loss: 1.6866 2022/06/30 01:08:46 - mmengine - INFO - Epoch(train) [36][3100/3757] lr: 1.000e-02 eta: 18:25:39 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 5.8468 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3471 loss: 2.3471 2022/06/30 01:08:52 - mmengine - INFO - Epoch(train) [36][3120/3757] lr: 1.000e-02 eta: 18:25:34 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 6.3673 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8038 loss: 1.8038 2022/06/30 01:08:57 - mmengine - INFO - Epoch(train) [36][3140/3757] lr: 1.000e-02 eta: 18:25:28 time: 0.243 data_time: 0.029 memory: 6404 grad_norm: 5.8585 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6055 loss: 1.6055 2022/06/30 01:09:02 - mmengine - INFO - Epoch(train) [36][3160/3757] lr: 1.000e-02 eta: 18:25:22 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 7.2655 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4869 loss: 1.4869 2022/06/30 01:09:08 - mmengine - INFO - Epoch(train) [36][3180/3757] lr: 1.000e-02 eta: 18:25:17 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.2112 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9078 loss: 1.9078 2022/06/30 01:09:14 - mmengine - INFO - Epoch(train) [36][3200/3757] lr: 1.000e-02 eta: 18:25:11 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 6.8607 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6278 loss: 1.6278 2022/06/30 01:09:19 - mmengine - INFO - Epoch(train) [36][3220/3757] lr: 1.000e-02 eta: 18:25:06 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 5.9436 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1093 loss: 2.1093 2022/06/30 01:09:24 - mmengine - INFO - Epoch(train) [36][3240/3757] lr: 1.000e-02 eta: 18:25:00 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.7184 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6206 loss: 2.6206 2022/06/30 01:09:30 - mmengine - INFO - Epoch(train) [36][3260/3757] lr: 1.000e-02 eta: 18:24:55 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 5.4597 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6280 loss: 1.6280 2022/06/30 01:09:36 - mmengine - INFO - Epoch(train) [36][3280/3757] lr: 1.000e-02 eta: 18:24:49 time: 0.281 data_time: 0.020 memory: 6404 grad_norm: 5.7171 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1362 loss: 2.1362 2022/06/30 01:09:41 - mmengine - INFO - Epoch(train) [36][3300/3757] lr: 1.000e-02 eta: 18:24:44 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.1176 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8139 loss: 1.8139 2022/06/30 01:09:47 - mmengine - INFO - Epoch(train) [36][3320/3757] lr: 1.000e-02 eta: 18:24:38 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 5.1666 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0407 loss: 2.0407 2022/06/30 01:09:53 - mmengine - INFO - Epoch(train) [36][3340/3757] lr: 1.000e-02 eta: 18:24:33 time: 0.245 data_time: 0.031 memory: 6404 grad_norm: 5.5551 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2593 loss: 2.2593 2022/06/30 01:09:58 - mmengine - INFO - Epoch(train) [36][3360/3757] lr: 1.000e-02 eta: 18:24:28 time: 0.395 data_time: 0.183 memory: 6404 grad_norm: 5.4974 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8447 loss: 1.8447 2022/06/30 01:10:03 - mmengine - INFO - Epoch(train) [36][3380/3757] lr: 1.000e-02 eta: 18:24:22 time: 0.281 data_time: 0.008 memory: 6404 grad_norm: 5.9320 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7849 loss: 1.7849 2022/06/30 01:10:09 - mmengine - INFO - Epoch(train) [36][3400/3757] lr: 1.000e-02 eta: 18:24:17 time: 0.253 data_time: 0.024 memory: 6404 grad_norm: 6.0859 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9321 loss: 1.9321 2022/06/30 01:10:14 - mmengine - INFO - Epoch(train) [36][3420/3757] lr: 1.000e-02 eta: 18:24:11 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.9924 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4853 loss: 2.4853 2022/06/30 01:10:20 - mmengine - INFO - Epoch(train) [36][3440/3757] lr: 1.000e-02 eta: 18:24:06 time: 0.279 data_time: 0.007 memory: 6404 grad_norm: 5.3579 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8449 loss: 1.8449 2022/06/30 01:10:26 - mmengine - INFO - Epoch(train) [36][3460/3757] lr: 1.000e-02 eta: 18:24:00 time: 0.245 data_time: 0.026 memory: 6404 grad_norm: 6.0081 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0034 loss: 2.0034 2022/06/30 01:10:31 - mmengine - INFO - Epoch(train) [36][3480/3757] lr: 1.000e-02 eta: 18:23:55 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 6.4053 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9595 loss: 1.9595 2022/06/30 01:10:36 - mmengine - INFO - Epoch(train) [36][3500/3757] lr: 1.000e-02 eta: 18:23:49 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.0338 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2971 loss: 1.2971 2022/06/30 01:10:38 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 01:10:42 - mmengine - INFO - Epoch(train) [36][3520/3757] lr: 1.000e-02 eta: 18:23:44 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.3274 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8562 loss: 1.8562 2022/06/30 01:10:47 - mmengine - INFO - Epoch(train) [36][3540/3757] lr: 1.000e-02 eta: 18:23:38 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.2289 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7768 loss: 1.7768 2022/06/30 01:10:53 - mmengine - INFO - Epoch(train) [36][3560/3757] lr: 1.000e-02 eta: 18:23:32 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 4.8343 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2697 loss: 2.2697 2022/06/30 01:10:59 - mmengine - INFO - Epoch(train) [36][3580/3757] lr: 1.000e-02 eta: 18:23:27 time: 0.248 data_time: 0.019 memory: 6404 grad_norm: 6.3032 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5325 loss: 2.5325 2022/06/30 01:11:04 - mmengine - INFO - Epoch(train) [36][3600/3757] lr: 1.000e-02 eta: 18:23:21 time: 0.241 data_time: 0.007 memory: 6404 grad_norm: 5.4056 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9620 loss: 1.9620 2022/06/30 01:11:09 - mmengine - INFO - Epoch(train) [36][3620/3757] lr: 1.000e-02 eta: 18:23:15 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.6834 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8876 loss: 1.8876 2022/06/30 01:11:14 - mmengine - INFO - Epoch(train) [36][3640/3757] lr: 1.000e-02 eta: 18:23:09 time: 0.256 data_time: 0.020 memory: 6404 grad_norm: 6.1138 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5484 loss: 1.5484 2022/06/30 01:11:20 - mmengine - INFO - Epoch(train) [36][3660/3757] lr: 1.000e-02 eta: 18:23:03 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.8243 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2204 loss: 2.2204 2022/06/30 01:11:25 - mmengine - INFO - Epoch(train) [36][3680/3757] lr: 1.000e-02 eta: 18:22:58 time: 0.242 data_time: 0.014 memory: 6404 grad_norm: 5.1836 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8619 loss: 1.8619 2022/06/30 01:11:31 - mmengine - INFO - Epoch(train) [36][3700/3757] lr: 1.000e-02 eta: 18:22:53 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 5.7160 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8695 loss: 1.8695 2022/06/30 01:11:37 - mmengine - INFO - Epoch(train) [36][3720/3757] lr: 1.000e-02 eta: 18:22:48 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.5092 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1513 loss: 2.1513 2022/06/30 01:11:42 - mmengine - INFO - Epoch(train) [36][3740/3757] lr: 1.000e-02 eta: 18:22:42 time: 0.248 data_time: 0.015 memory: 6404 grad_norm: 5.9409 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0616 loss: 2.0616 2022/06/30 01:11:46 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 01:11:53 - mmengine - INFO - Epoch(val) [36][20/310] eta: 0:01:28 time: 0.102 data_time: 0.008 memory: 6404 2022/06/30 01:11:59 - mmengine - INFO - Epoch(val) [36][40/310] eta: 0:01:14 time: 0.083 data_time: 0.009 memory: 1479 2022/06/30 01:12:03 - mmengine - INFO - Epoch(val) [36][60/310] eta: 0:00:24 time: 0.097 data_time: 0.009 memory: 1479 2022/06/30 01:12:09 - mmengine - INFO - Epoch(val) [36][80/310] eta: 0:01:08 time: 0.089 data_time: 0.007 memory: 1479 2022/06/30 01:12:15 - mmengine - INFO - Epoch(val) [36][100/310] eta: 0:01:03 time: 0.295 data_time: 0.223 memory: 1479 2022/06/30 01:12:19 - mmengine - INFO - Epoch(val) [36][120/310] eta: 0:00:16 time: 0.084 data_time: 0.006 memory: 1479 2022/06/30 01:12:25 - mmengine - INFO - Epoch(val) [36][140/310] eta: 0:00:52 time: 0.097 data_time: 0.007 memory: 1479 2022/06/30 01:12:31 - mmengine - INFO - Epoch(val) [36][160/310] eta: 0:00:46 time: 1.226 data_time: 1.154 memory: 1479 2022/06/30 01:12:36 - mmengine - INFO - Epoch(val) [36][180/310] eta: 0:00:34 time: 0.094 data_time: 0.009 memory: 1479 2022/06/30 01:12:41 - mmengine - INFO - Epoch(val) [36][200/310] eta: 0:00:32 time: 0.087 data_time: 0.006 memory: 1479 2022/06/30 01:12:47 - mmengine - INFO - Epoch(val) [36][220/310] eta: 0:00:25 time: 1.088 data_time: 1.011 memory: 1479 2022/06/30 01:12:51 - mmengine - INFO - Epoch(val) [36][240/310] eta: 0:00:14 time: 0.090 data_time: 0.012 memory: 1479 2022/06/30 01:12:57 - mmengine - INFO - Epoch(val) [36][260/310] eta: 0:00:16 time: 0.085 data_time: 0.006 memory: 1479 2022/06/30 01:13:03 - mmengine - INFO - Epoch(val) [36][280/310] eta: 0:00:09 time: 1.406 data_time: 1.320 memory: 1479 2022/06/30 01:13:07 - mmengine - INFO - Epoch(val) [36][300/310] eta: 0:00:02 time: 0.089 data_time: 0.009 memory: 1479 2022/06/30 01:13:10 - mmengine - INFO - Epoch(val) [36][310/310] acc/top1: 0.5771 acc/top5: 0.8126 acc/mean1: 0.5769 2022/06/30 01:13:19 - mmengine - INFO - Epoch(train) [37][20/3757] lr: 1.000e-02 eta: 18:22:34 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 5.9649 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0332 loss: 2.0332 2022/06/30 01:13:26 - mmengine - INFO - Epoch(train) [37][40/3757] lr: 1.000e-02 eta: 18:22:30 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 4.8167 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9117 loss: 1.9117 2022/06/30 01:13:31 - mmengine - INFO - Epoch(train) [37][60/3757] lr: 1.000e-02 eta: 18:22:25 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.0255 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9441 loss: 1.9441 2022/06/30 01:13:37 - mmengine - INFO - Epoch(train) [37][80/3757] lr: 1.000e-02 eta: 18:22:19 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.1891 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9587 loss: 1.9587 2022/06/30 01:13:43 - mmengine - INFO - Epoch(train) [37][100/3757] lr: 1.000e-02 eta: 18:22:14 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.9588 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6637 loss: 1.6637 2022/06/30 01:13:48 - mmengine - INFO - Epoch(train) [37][120/3757] lr: 1.000e-02 eta: 18:22:08 time: 0.245 data_time: 0.015 memory: 6404 grad_norm: 5.9675 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3960 loss: 1.3960 2022/06/30 01:13:54 - mmengine - INFO - Epoch(train) [37][140/3757] lr: 1.000e-02 eta: 18:22:04 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.5305 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8543 loss: 1.8543 2022/06/30 01:13:59 - mmengine - INFO - Epoch(train) [37][160/3757] lr: 1.000e-02 eta: 18:21:57 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 4.9291 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6650 loss: 1.6650 2022/06/30 01:14:04 - mmengine - INFO - Epoch(train) [37][180/3757] lr: 1.000e-02 eta: 18:21:51 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 5.2510 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0149 loss: 2.0149 2022/06/30 01:14:10 - mmengine - INFO - Epoch(train) [37][200/3757] lr: 1.000e-02 eta: 18:21:45 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.5619 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6976 loss: 1.6976 2022/06/30 01:14:15 - mmengine - INFO - Epoch(train) [37][220/3757] lr: 1.000e-02 eta: 18:21:39 time: 0.241 data_time: 0.007 memory: 6404 grad_norm: 5.6879 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8799 loss: 1.8799 2022/06/30 01:14:20 - mmengine - INFO - Epoch(train) [37][240/3757] lr: 1.000e-02 eta: 18:21:33 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 5.7608 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4186 loss: 1.4186 2022/06/30 01:14:26 - mmengine - INFO - Epoch(train) [37][260/3757] lr: 1.000e-02 eta: 18:21:28 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 6.6121 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8815 loss: 1.8815 2022/06/30 01:14:31 - mmengine - INFO - Epoch(train) [37][280/3757] lr: 1.000e-02 eta: 18:21:23 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.9126 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1883 loss: 2.1883 2022/06/30 01:14:37 - mmengine - INFO - Epoch(train) [37][300/3757] lr: 1.000e-02 eta: 18:21:17 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 6.2293 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7138 loss: 1.7138 2022/06/30 01:14:43 - mmengine - INFO - Epoch(train) [37][320/3757] lr: 1.000e-02 eta: 18:21:12 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.1108 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1801 loss: 2.1801 2022/06/30 01:14:48 - mmengine - INFO - Epoch(train) [37][340/3757] lr: 1.000e-02 eta: 18:21:07 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 4.7145 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2546 loss: 2.2546 2022/06/30 01:14:53 - mmengine - INFO - Epoch(train) [37][360/3757] lr: 1.000e-02 eta: 18:21:01 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 5.9372 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5842 loss: 1.5842 2022/06/30 01:14:59 - mmengine - INFO - Epoch(train) [37][380/3757] lr: 1.000e-02 eta: 18:20:56 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 5.4892 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3143 loss: 2.3143 2022/06/30 01:15:05 - mmengine - INFO - Epoch(train) [37][400/3757] lr: 1.000e-02 eta: 18:20:50 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.6005 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6385 loss: 1.6385 2022/06/30 01:15:10 - mmengine - INFO - Epoch(train) [37][420/3757] lr: 1.000e-02 eta: 18:20:45 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 6.3393 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1513 loss: 2.1513 2022/06/30 01:15:16 - mmengine - INFO - Epoch(train) [37][440/3757] lr: 1.000e-02 eta: 18:20:39 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.1629 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7159 loss: 1.7159 2022/06/30 01:15:21 - mmengine - INFO - Epoch(train) [37][460/3757] lr: 1.000e-02 eta: 18:20:34 time: 0.239 data_time: 0.007 memory: 6404 grad_norm: 5.8063 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6910 loss: 1.6910 2022/06/30 01:15:27 - mmengine - INFO - Epoch(train) [37][480/3757] lr: 1.000e-02 eta: 18:20:29 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.8033 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0772 loss: 2.0772 2022/06/30 01:15:32 - mmengine - INFO - Epoch(train) [37][500/3757] lr: 1.000e-02 eta: 18:20:23 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.6457 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9955 loss: 1.9955 2022/06/30 01:15:38 - mmengine - INFO - Epoch(train) [37][520/3757] lr: 1.000e-02 eta: 18:20:17 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 5.6050 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7818 loss: 1.7818 2022/06/30 01:15:43 - mmengine - INFO - Epoch(train) [37][540/3757] lr: 1.000e-02 eta: 18:20:12 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.8240 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7443 loss: 1.7443 2022/06/30 01:15:49 - mmengine - INFO - Epoch(train) [37][560/3757] lr: 1.000e-02 eta: 18:20:06 time: 0.521 data_time: 0.009 memory: 6404 grad_norm: 5.3016 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7610 loss: 1.7610 2022/06/30 01:15:54 - mmengine - INFO - Epoch(train) [37][580/3757] lr: 1.000e-02 eta: 18:20:00 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 5.5484 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6694 loss: 1.6694 2022/06/30 01:15:59 - mmengine - INFO - Epoch(train) [37][600/3757] lr: 1.000e-02 eta: 18:19:54 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 5.1972 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6669 loss: 1.6669 2022/06/30 01:16:05 - mmengine - INFO - Epoch(train) [37][620/3757] lr: 1.000e-02 eta: 18:19:49 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.4890 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6134 loss: 1.6134 2022/06/30 01:16:10 - mmengine - INFO - Epoch(train) [37][640/3757] lr: 1.000e-02 eta: 18:19:44 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 5.9663 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6882 loss: 1.6882 2022/06/30 01:16:16 - mmengine - INFO - Epoch(train) [37][660/3757] lr: 1.000e-02 eta: 18:19:38 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 5.7510 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7649 loss: 1.7649 2022/06/30 01:16:22 - mmengine - INFO - Epoch(train) [37][680/3757] lr: 1.000e-02 eta: 18:19:33 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.0328 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7509 loss: 1.7509 2022/06/30 01:16:27 - mmengine - INFO - Epoch(train) [37][700/3757] lr: 1.000e-02 eta: 18:19:27 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 5.8539 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1435 loss: 2.1435 2022/06/30 01:16:32 - mmengine - INFO - Epoch(train) [37][720/3757] lr: 1.000e-02 eta: 18:19:21 time: 0.247 data_time: 0.016 memory: 6404 grad_norm: 5.3921 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7709 loss: 1.7709 2022/06/30 01:16:38 - mmengine - INFO - Epoch(train) [37][740/3757] lr: 1.000e-02 eta: 18:19:15 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 6.3537 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.5376 loss: 1.5376 2022/06/30 01:16:40 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 01:16:43 - mmengine - INFO - Epoch(train) [37][760/3757] lr: 1.000e-02 eta: 18:19:10 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.8760 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9724 loss: 1.9724 2022/06/30 01:16:49 - mmengine - INFO - Epoch(train) [37][780/3757] lr: 1.000e-02 eta: 18:19:05 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 5.9891 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6097 loss: 1.6097 2022/06/30 01:16:55 - mmengine - INFO - Epoch(train) [37][800/3757] lr: 1.000e-02 eta: 18:19:00 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.5497 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9686 loss: 1.9686 2022/06/30 01:17:00 - mmengine - INFO - Epoch(train) [37][820/3757] lr: 1.000e-02 eta: 18:18:54 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.3063 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7800 loss: 1.7800 2022/06/30 01:17:05 - mmengine - INFO - Epoch(train) [37][840/3757] lr: 1.000e-02 eta: 18:18:48 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 6.6070 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0244 loss: 2.0244 2022/06/30 01:17:11 - mmengine - INFO - Epoch(train) [37][860/3757] lr: 1.000e-02 eta: 18:18:43 time: 0.241 data_time: 0.007 memory: 6404 grad_norm: 6.4792 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0937 loss: 2.0937 2022/06/30 01:17:17 - mmengine - INFO - Epoch(train) [37][880/3757] lr: 1.000e-02 eta: 18:18:39 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.3261 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7410 loss: 1.7410 2022/06/30 01:17:22 - mmengine - INFO - Epoch(train) [37][900/3757] lr: 1.000e-02 eta: 18:18:32 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 6.4747 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3484 loss: 2.3484 2022/06/30 01:17:27 - mmengine - INFO - Epoch(train) [37][920/3757] lr: 1.000e-02 eta: 18:18:26 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 6.2420 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3035 loss: 2.3035 2022/06/30 01:17:33 - mmengine - INFO - Epoch(train) [37][940/3757] lr: 1.000e-02 eta: 18:18:20 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.2670 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8602 loss: 1.8602 2022/06/30 01:17:38 - mmengine - INFO - Epoch(train) [37][960/3757] lr: 1.000e-02 eta: 18:18:14 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 6.0146 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3374 loss: 2.3374 2022/06/30 01:17:43 - mmengine - INFO - Epoch(train) [37][980/3757] lr: 1.000e-02 eta: 18:18:08 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.8983 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9314 loss: 1.9314 2022/06/30 01:17:49 - mmengine - INFO - Epoch(train) [37][1000/3757] lr: 1.000e-02 eta: 18:18:04 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.6015 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9094 loss: 1.9094 2022/06/30 01:17:54 - mmengine - INFO - Epoch(train) [37][1020/3757] lr: 1.000e-02 eta: 18:17:58 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 4.9874 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9822 loss: 1.9822 2022/06/30 01:18:00 - mmengine - INFO - Epoch(train) [37][1040/3757] lr: 1.000e-02 eta: 18:17:53 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 6.1653 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4463 loss: 1.4463 2022/06/30 01:18:05 - mmengine - INFO - Epoch(train) [37][1060/3757] lr: 1.000e-02 eta: 18:17:46 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.2339 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5161 loss: 1.5161 2022/06/30 01:18:11 - mmengine - INFO - Epoch(train) [37][1080/3757] lr: 1.000e-02 eta: 18:17:41 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 6.1896 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5671 loss: 1.5671 2022/06/30 01:18:16 - mmengine - INFO - Epoch(train) [37][1100/3757] lr: 1.000e-02 eta: 18:17:35 time: 0.244 data_time: 0.012 memory: 6404 grad_norm: 5.4150 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9894 loss: 1.9894 2022/06/30 01:18:22 - mmengine - INFO - Epoch(train) [37][1120/3757] lr: 1.000e-02 eta: 18:17:29 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.4898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6095 loss: 1.6095 2022/06/30 01:18:28 - mmengine - INFO - Epoch(train) [37][1140/3757] lr: 1.000e-02 eta: 18:17:25 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 5.5322 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0809 loss: 2.0809 2022/06/30 01:18:33 - mmengine - INFO - Epoch(train) [37][1160/3757] lr: 1.000e-02 eta: 18:17:20 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.9953 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9717 loss: 1.9717 2022/06/30 01:18:39 - mmengine - INFO - Epoch(train) [37][1180/3757] lr: 1.000e-02 eta: 18:17:14 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.0987 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0422 loss: 2.0422 2022/06/30 01:18:44 - mmengine - INFO - Epoch(train) [37][1200/3757] lr: 1.000e-02 eta: 18:17:09 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.0693 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0434 loss: 2.0434 2022/06/30 01:18:50 - mmengine - INFO - Epoch(train) [37][1220/3757] lr: 1.000e-02 eta: 18:17:03 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.3387 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6841 loss: 1.6841 2022/06/30 01:18:55 - mmengine - INFO - Epoch(train) [37][1240/3757] lr: 1.000e-02 eta: 18:16:58 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.8207 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8997 loss: 1.8997 2022/06/30 01:19:01 - mmengine - INFO - Epoch(train) [37][1260/3757] lr: 1.000e-02 eta: 18:16:53 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 5.1689 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6983 loss: 1.6983 2022/06/30 01:19:07 - mmengine - INFO - Epoch(train) [37][1280/3757] lr: 1.000e-02 eta: 18:16:47 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 6.6155 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3387 loss: 2.3387 2022/06/30 01:19:12 - mmengine - INFO - Epoch(train) [37][1300/3757] lr: 1.000e-02 eta: 18:16:42 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 4.9448 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0433 loss: 2.0433 2022/06/30 01:19:18 - mmengine - INFO - Epoch(train) [37][1320/3757] lr: 1.000e-02 eta: 18:16:36 time: 0.240 data_time: 0.007 memory: 6404 grad_norm: 6.2965 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0928 loss: 2.0928 2022/06/30 01:19:23 - mmengine - INFO - Epoch(train) [37][1340/3757] lr: 1.000e-02 eta: 18:16:31 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 5.3572 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7147 loss: 1.7147 2022/06/30 01:19:30 - mmengine - INFO - Epoch(train) [37][1360/3757] lr: 1.000e-02 eta: 18:16:27 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.9493 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8850 loss: 1.8850 2022/06/30 01:19:35 - mmengine - INFO - Epoch(train) [37][1380/3757] lr: 1.000e-02 eta: 18:16:21 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 6.2885 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5143 loss: 1.5143 2022/06/30 01:19:40 - mmengine - INFO - Epoch(train) [37][1400/3757] lr: 1.000e-02 eta: 18:16:14 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 6.2593 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6292 loss: 1.6292 2022/06/30 01:19:45 - mmengine - INFO - Epoch(train) [37][1420/3757] lr: 1.000e-02 eta: 18:16:08 time: 0.249 data_time: 0.023 memory: 6404 grad_norm: 6.3870 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8343 loss: 1.8343 2022/06/30 01:19:50 - mmengine - INFO - Epoch(train) [37][1440/3757] lr: 1.000e-02 eta: 18:16:02 time: 0.259 data_time: 0.013 memory: 6404 grad_norm: 5.4602 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7226 loss: 1.7226 2022/06/30 01:19:55 - mmengine - INFO - Epoch(train) [37][1460/3757] lr: 1.000e-02 eta: 18:15:56 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.4776 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3682 loss: 1.3682 2022/06/30 01:20:00 - mmengine - INFO - Epoch(train) [37][1480/3757] lr: 1.000e-02 eta: 18:15:50 time: 0.251 data_time: 0.023 memory: 6404 grad_norm: 5.7181 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8356 loss: 1.8356 2022/06/30 01:20:06 - mmengine - INFO - Epoch(train) [37][1500/3757] lr: 1.000e-02 eta: 18:15:44 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 5.2879 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9439 loss: 1.9439 2022/06/30 01:20:12 - mmengine - INFO - Epoch(train) [37][1520/3757] lr: 1.000e-02 eta: 18:15:39 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.3687 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8064 loss: 1.8064 2022/06/30 01:20:18 - mmengine - INFO - Epoch(train) [37][1540/3757] lr: 1.000e-02 eta: 18:15:34 time: 0.492 data_time: 0.305 memory: 6404 grad_norm: 5.9001 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6142 loss: 1.6142 2022/06/30 01:20:23 - mmengine - INFO - Epoch(train) [37][1560/3757] lr: 1.000e-02 eta: 18:15:28 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 6.0754 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2956 loss: 2.2956 2022/06/30 01:20:28 - mmengine - INFO - Epoch(train) [37][1580/3757] lr: 1.000e-02 eta: 18:15:23 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 4.8122 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0879 loss: 2.0879 2022/06/30 01:20:33 - mmengine - INFO - Epoch(train) [37][1600/3757] lr: 1.000e-02 eta: 18:15:17 time: 0.330 data_time: 0.132 memory: 6404 grad_norm: 6.1560 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8496 loss: 1.8496 2022/06/30 01:20:39 - mmengine - INFO - Epoch(train) [37][1620/3757] lr: 1.000e-02 eta: 18:15:11 time: 0.307 data_time: 0.069 memory: 6404 grad_norm: 6.0130 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8744 loss: 1.8744 2022/06/30 01:20:45 - mmengine - INFO - Epoch(train) [37][1640/3757] lr: 1.000e-02 eta: 18:15:06 time: 0.239 data_time: 0.011 memory: 6404 grad_norm: 5.0363 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7157 loss: 1.7157 2022/06/30 01:20:50 - mmengine - INFO - Epoch(train) [37][1660/3757] lr: 1.000e-02 eta: 18:15:01 time: 0.284 data_time: 0.099 memory: 6404 grad_norm: 5.9018 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4868 loss: 1.4868 2022/06/30 01:20:56 - mmengine - INFO - Epoch(train) [37][1680/3757] lr: 1.000e-02 eta: 18:14:55 time: 0.267 data_time: 0.011 memory: 6404 grad_norm: 5.2006 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6072 loss: 1.6072 2022/06/30 01:21:02 - mmengine - INFO - Epoch(train) [37][1700/3757] lr: 1.000e-02 eta: 18:14:50 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 5.5591 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7827 loss: 1.7827 2022/06/30 01:21:07 - mmengine - INFO - Epoch(train) [37][1720/3757] lr: 1.000e-02 eta: 18:14:45 time: 0.368 data_time: 0.184 memory: 6404 grad_norm: 5.3433 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1551 loss: 2.1551 2022/06/30 01:21:13 - mmengine - INFO - Epoch(train) [37][1740/3757] lr: 1.000e-02 eta: 18:14:39 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.3270 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5929 loss: 1.5929 2022/06/30 01:21:15 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 01:21:18 - mmengine - INFO - Epoch(train) [37][1760/3757] lr: 1.000e-02 eta: 18:14:33 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.2291 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6529 loss: 1.6529 2022/06/30 01:21:23 - mmengine - INFO - Epoch(train) [37][1780/3757] lr: 1.000e-02 eta: 18:14:27 time: 0.264 data_time: 0.071 memory: 6404 grad_norm: 6.0240 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9486 loss: 1.9486 2022/06/30 01:21:28 - mmengine - INFO - Epoch(train) [37][1800/3757] lr: 1.000e-02 eta: 18:14:21 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.1913 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2082 loss: 2.2082 2022/06/30 01:21:34 - mmengine - INFO - Epoch(train) [37][1820/3757] lr: 1.000e-02 eta: 18:14:16 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.6488 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8971 loss: 1.8971 2022/06/30 01:21:39 - mmengine - INFO - Epoch(train) [37][1840/3757] lr: 1.000e-02 eta: 18:14:10 time: 0.536 data_time: 0.343 memory: 6404 grad_norm: 5.2840 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3119 loss: 1.3119 2022/06/30 01:21:45 - mmengine - INFO - Epoch(train) [37][1860/3757] lr: 1.000e-02 eta: 18:14:04 time: 0.271 data_time: 0.007 memory: 6404 grad_norm: 5.8029 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8173 loss: 1.8173 2022/06/30 01:21:50 - mmengine - INFO - Epoch(train) [37][1880/3757] lr: 1.000e-02 eta: 18:13:59 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 6.0554 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0135 loss: 2.0135 2022/06/30 01:21:56 - mmengine - INFO - Epoch(train) [37][1900/3757] lr: 1.000e-02 eta: 18:13:53 time: 0.479 data_time: 0.289 memory: 6404 grad_norm: 4.9092 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7317 loss: 1.7317 2022/06/30 01:22:01 - mmengine - INFO - Epoch(train) [37][1920/3757] lr: 1.000e-02 eta: 18:13:47 time: 0.270 data_time: 0.008 memory: 6404 grad_norm: 5.7921 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8532 loss: 1.8532 2022/06/30 01:22:06 - mmengine - INFO - Epoch(train) [37][1940/3757] lr: 1.000e-02 eta: 18:13:42 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.9649 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4486 loss: 1.4486 2022/06/30 01:22:12 - mmengine - INFO - Epoch(train) [37][1960/3757] lr: 1.000e-02 eta: 18:13:37 time: 0.259 data_time: 0.065 memory: 6404 grad_norm: 5.2369 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9852 loss: 1.9852 2022/06/30 01:22:18 - mmengine - INFO - Epoch(train) [37][1980/3757] lr: 1.000e-02 eta: 18:13:31 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.9973 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9654 loss: 1.9654 2022/06/30 01:22:23 - mmengine - INFO - Epoch(train) [37][2000/3757] lr: 1.000e-02 eta: 18:13:26 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 4.8423 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9034 loss: 1.9034 2022/06/30 01:22:28 - mmengine - INFO - Epoch(train) [37][2020/3757] lr: 1.000e-02 eta: 18:13:19 time: 0.268 data_time: 0.070 memory: 6404 grad_norm: 4.9645 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9501 loss: 1.9501 2022/06/30 01:22:34 - mmengine - INFO - Epoch(train) [37][2040/3757] lr: 1.000e-02 eta: 18:13:14 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 6.2606 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9738 loss: 1.9738 2022/06/30 01:22:39 - mmengine - INFO - Epoch(train) [37][2060/3757] lr: 1.000e-02 eta: 18:13:09 time: 0.260 data_time: 0.012 memory: 6404 grad_norm: 5.0116 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1968 loss: 2.1968 2022/06/30 01:22:45 - mmengine - INFO - Epoch(train) [37][2080/3757] lr: 1.000e-02 eta: 18:13:03 time: 0.246 data_time: 0.058 memory: 6404 grad_norm: 5.2932 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3616 loss: 1.3616 2022/06/30 01:22:50 - mmengine - INFO - Epoch(train) [37][2100/3757] lr: 1.000e-02 eta: 18:12:57 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 6.3828 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8360 loss: 1.8360 2022/06/30 01:22:56 - mmengine - INFO - Epoch(train) [37][2120/3757] lr: 1.000e-02 eta: 18:12:52 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 6.5257 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8772 loss: 1.8772 2022/06/30 01:23:01 - mmengine - INFO - Epoch(train) [37][2140/3757] lr: 1.000e-02 eta: 18:12:46 time: 0.252 data_time: 0.027 memory: 6404 grad_norm: 5.8321 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1531 loss: 2.1531 2022/06/30 01:23:07 - mmengine - INFO - Epoch(train) [37][2160/3757] lr: 1.000e-02 eta: 18:12:41 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 5.8578 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5280 loss: 2.5280 2022/06/30 01:23:12 - mmengine - INFO - Epoch(train) [37][2180/3757] lr: 1.000e-02 eta: 18:12:35 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 5.3214 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0264 loss: 2.0264 2022/06/30 01:23:17 - mmengine - INFO - Epoch(train) [37][2200/3757] lr: 1.000e-02 eta: 18:12:29 time: 0.248 data_time: 0.022 memory: 6404 grad_norm: 5.8334 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2300 loss: 2.2300 2022/06/30 01:23:23 - mmengine - INFO - Epoch(train) [37][2220/3757] lr: 1.000e-02 eta: 18:12:24 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 5.7739 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7386 loss: 1.7386 2022/06/30 01:23:28 - mmengine - INFO - Epoch(train) [37][2240/3757] lr: 1.000e-02 eta: 18:12:17 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 6.0781 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7716 loss: 1.7716 2022/06/30 01:23:34 - mmengine - INFO - Epoch(train) [37][2260/3757] lr: 1.000e-02 eta: 18:12:12 time: 0.250 data_time: 0.025 memory: 6404 grad_norm: 5.1982 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6819 loss: 1.6819 2022/06/30 01:23:39 - mmengine - INFO - Epoch(train) [37][2280/3757] lr: 1.000e-02 eta: 18:12:07 time: 0.322 data_time: 0.008 memory: 6404 grad_norm: 5.6975 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9632 loss: 1.9632 2022/06/30 01:23:45 - mmengine - INFO - Epoch(train) [37][2300/3757] lr: 1.000e-02 eta: 18:12:01 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 5.8118 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0080 loss: 2.0080 2022/06/30 01:23:50 - mmengine - INFO - Epoch(train) [37][2320/3757] lr: 1.000e-02 eta: 18:11:55 time: 0.257 data_time: 0.022 memory: 6404 grad_norm: 5.0181 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3834 loss: 2.3834 2022/06/30 01:23:56 - mmengine - INFO - Epoch(train) [37][2340/3757] lr: 1.000e-02 eta: 18:11:51 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.9050 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0250 loss: 2.0250 2022/06/30 01:24:02 - mmengine - INFO - Epoch(train) [37][2360/3757] lr: 1.000e-02 eta: 18:11:46 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.0396 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9588 loss: 1.9588 2022/06/30 01:24:07 - mmengine - INFO - Epoch(train) [37][2380/3757] lr: 1.000e-02 eta: 18:11:40 time: 0.253 data_time: 0.032 memory: 6404 grad_norm: 6.2541 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2499 loss: 2.2499 2022/06/30 01:24:12 - mmengine - INFO - Epoch(train) [37][2400/3757] lr: 1.000e-02 eta: 18:11:34 time: 0.246 data_time: 0.017 memory: 6404 grad_norm: 5.8699 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0886 loss: 2.0886 2022/06/30 01:24:18 - mmengine - INFO - Epoch(train) [37][2420/3757] lr: 1.000e-02 eta: 18:11:28 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.4921 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0655 loss: 2.0655 2022/06/30 01:24:23 - mmengine - INFO - Epoch(train) [37][2440/3757] lr: 1.000e-02 eta: 18:11:22 time: 0.244 data_time: 0.017 memory: 6404 grad_norm: 5.8845 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9754 loss: 1.9754 2022/06/30 01:24:28 - mmengine - INFO - Epoch(train) [37][2460/3757] lr: 1.000e-02 eta: 18:11:16 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.7796 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6022 loss: 1.6022 2022/06/30 01:24:34 - mmengine - INFO - Epoch(train) [37][2480/3757] lr: 1.000e-02 eta: 18:11:11 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.6959 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9244 loss: 1.9244 2022/06/30 01:24:40 - mmengine - INFO - Epoch(train) [37][2500/3757] lr: 1.000e-02 eta: 18:11:06 time: 0.578 data_time: 0.082 memory: 6404 grad_norm: 5.7056 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7969 loss: 1.7969 2022/06/30 01:24:45 - mmengine - INFO - Epoch(train) [37][2520/3757] lr: 1.000e-02 eta: 18:11:00 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 5.3451 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8680 loss: 1.8680 2022/06/30 01:24:51 - mmengine - INFO - Epoch(train) [37][2540/3757] lr: 1.000e-02 eta: 18:10:55 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.0647 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9997 loss: 1.9997 2022/06/30 01:24:56 - mmengine - INFO - Epoch(train) [37][2560/3757] lr: 1.000e-02 eta: 18:10:49 time: 0.251 data_time: 0.024 memory: 6404 grad_norm: 6.4298 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.8260 loss: 1.8260 2022/06/30 01:25:02 - mmengine - INFO - Epoch(train) [37][2580/3757] lr: 1.000e-02 eta: 18:10:45 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 5.6021 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0572 loss: 2.0572 2022/06/30 01:25:07 - mmengine - INFO - Epoch(train) [37][2600/3757] lr: 1.000e-02 eta: 18:10:39 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 5.6416 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1096 loss: 2.1096 2022/06/30 01:25:13 - mmengine - INFO - Epoch(train) [37][2620/3757] lr: 1.000e-02 eta: 18:10:33 time: 0.269 data_time: 0.016 memory: 6404 grad_norm: 5.6377 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4865 loss: 1.4865 2022/06/30 01:25:18 - mmengine - INFO - Epoch(train) [37][2640/3757] lr: 1.000e-02 eta: 18:10:27 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.2326 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6900 loss: 1.6900 2022/06/30 01:25:24 - mmengine - INFO - Epoch(train) [37][2660/3757] lr: 1.000e-02 eta: 18:10:22 time: 0.251 data_time: 0.020 memory: 6404 grad_norm: 6.4823 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0820 loss: 2.0820 2022/06/30 01:25:30 - mmengine - INFO - Epoch(train) [37][2680/3757] lr: 1.000e-02 eta: 18:10:17 time: 0.272 data_time: 0.035 memory: 6404 grad_norm: 6.4491 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9332 loss: 1.9332 2022/06/30 01:25:35 - mmengine - INFO - Epoch(train) [37][2700/3757] lr: 1.000e-02 eta: 18:10:11 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.6515 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8949 loss: 1.8949 2022/06/30 01:25:40 - mmengine - INFO - Epoch(train) [37][2720/3757] lr: 1.000e-02 eta: 18:10:05 time: 0.245 data_time: 0.015 memory: 6404 grad_norm: 5.5938 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7755 loss: 1.7755 2022/06/30 01:25:46 - mmengine - INFO - Epoch(train) [37][2740/3757] lr: 1.000e-02 eta: 18:09:59 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.4119 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7156 loss: 1.7156 2022/06/30 01:25:48 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 01:25:52 - mmengine - INFO - Epoch(train) [37][2760/3757] lr: 1.000e-02 eta: 18:09:55 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 5.6332 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6490 loss: 1.6490 2022/06/30 01:25:57 - mmengine - INFO - Epoch(train) [37][2780/3757] lr: 1.000e-02 eta: 18:09:49 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 5.8816 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5025 loss: 1.5025 2022/06/30 01:26:03 - mmengine - INFO - Epoch(train) [37][2800/3757] lr: 1.000e-02 eta: 18:09:44 time: 0.243 data_time: 0.006 memory: 6404 grad_norm: 6.2159 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0703 loss: 2.0703 2022/06/30 01:26:08 - mmengine - INFO - Epoch(train) [37][2820/3757] lr: 1.000e-02 eta: 18:09:38 time: 0.282 data_time: 0.009 memory: 6404 grad_norm: 5.0938 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9260 loss: 1.9260 2022/06/30 01:26:14 - mmengine - INFO - Epoch(train) [37][2840/3757] lr: 1.000e-02 eta: 18:09:32 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 6.3206 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7090 loss: 1.7090 2022/06/30 01:26:19 - mmengine - INFO - Epoch(train) [37][2860/3757] lr: 1.000e-02 eta: 18:09:27 time: 0.453 data_time: 0.018 memory: 6404 grad_norm: 5.4039 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2723 loss: 2.2723 2022/06/30 01:26:25 - mmengine - INFO - Epoch(train) [37][2880/3757] lr: 1.000e-02 eta: 18:09:22 time: 0.255 data_time: 0.012 memory: 6404 grad_norm: 6.3349 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3583 loss: 2.3583 2022/06/30 01:26:30 - mmengine - INFO - Epoch(train) [37][2900/3757] lr: 1.000e-02 eta: 18:09:16 time: 0.253 data_time: 0.015 memory: 6404 grad_norm: 5.6149 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7194 loss: 1.7194 2022/06/30 01:26:35 - mmengine - INFO - Epoch(train) [37][2920/3757] lr: 1.000e-02 eta: 18:09:09 time: 0.260 data_time: 0.012 memory: 6404 grad_norm: 5.9942 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8097 loss: 1.8097 2022/06/30 01:26:41 - mmengine - INFO - Epoch(train) [37][2940/3757] lr: 1.000e-02 eta: 18:09:05 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 6.0006 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2266 loss: 2.2266 2022/06/30 01:26:46 - mmengine - INFO - Epoch(train) [37][2960/3757] lr: 1.000e-02 eta: 18:08:58 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 6.4079 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1048 loss: 2.1048 2022/06/30 01:26:52 - mmengine - INFO - Epoch(train) [37][2980/3757] lr: 1.000e-02 eta: 18:08:54 time: 0.251 data_time: 0.019 memory: 6404 grad_norm: 5.1859 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8221 loss: 1.8221 2022/06/30 01:26:58 - mmengine - INFO - Epoch(train) [37][3000/3757] lr: 1.000e-02 eta: 18:08:49 time: 0.240 data_time: 0.012 memory: 6404 grad_norm: 5.6942 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7283 loss: 1.7283 2022/06/30 01:27:03 - mmengine - INFO - Epoch(train) [37][3020/3757] lr: 1.000e-02 eta: 18:08:43 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.1316 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8938 loss: 1.8938 2022/06/30 01:27:09 - mmengine - INFO - Epoch(train) [37][3040/3757] lr: 1.000e-02 eta: 18:08:37 time: 0.248 data_time: 0.017 memory: 6404 grad_norm: 5.5054 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9338 loss: 1.9338 2022/06/30 01:27:14 - mmengine - INFO - Epoch(train) [37][3060/3757] lr: 1.000e-02 eta: 18:08:32 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.3886 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9766 loss: 1.9766 2022/06/30 01:27:19 - mmengine - INFO - Epoch(train) [37][3080/3757] lr: 1.000e-02 eta: 18:08:26 time: 0.386 data_time: 0.007 memory: 6404 grad_norm: 5.7372 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8763 loss: 1.8763 2022/06/30 01:27:25 - mmengine - INFO - Epoch(train) [37][3100/3757] lr: 1.000e-02 eta: 18:08:20 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.6591 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7522 loss: 1.7522 2022/06/30 01:27:30 - mmengine - INFO - Epoch(train) [37][3120/3757] lr: 1.000e-02 eta: 18:08:14 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.1468 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5982 loss: 1.5982 2022/06/30 01:27:36 - mmengine - INFO - Epoch(train) [37][3140/3757] lr: 1.000e-02 eta: 18:08:09 time: 0.247 data_time: 0.020 memory: 6404 grad_norm: 6.3866 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9255 loss: 1.9255 2022/06/30 01:27:42 - mmengine - INFO - Epoch(train) [37][3160/3757] lr: 1.000e-02 eta: 18:08:04 time: 0.244 data_time: 0.009 memory: 6404 grad_norm: 5.5088 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2094 loss: 2.2094 2022/06/30 01:27:47 - mmengine - INFO - Epoch(train) [37][3180/3757] lr: 1.000e-02 eta: 18:07:58 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 6.5945 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9752 loss: 1.9752 2022/06/30 01:27:53 - mmengine - INFO - Epoch(train) [37][3200/3757] lr: 1.000e-02 eta: 18:07:53 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 5.3625 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0494 loss: 2.0494 2022/06/30 01:27:58 - mmengine - INFO - Epoch(train) [37][3220/3757] lr: 1.000e-02 eta: 18:07:48 time: 0.244 data_time: 0.013 memory: 6404 grad_norm: 4.9454 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6576 loss: 1.6576 2022/06/30 01:28:04 - mmengine - INFO - Epoch(train) [37][3240/3757] lr: 1.000e-02 eta: 18:07:42 time: 0.240 data_time: 0.012 memory: 6404 grad_norm: 5.7263 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8479 loss: 1.8479 2022/06/30 01:28:09 - mmengine - INFO - Epoch(train) [37][3260/3757] lr: 1.000e-02 eta: 18:07:36 time: 0.260 data_time: 0.006 memory: 6404 grad_norm: 5.5961 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8505 loss: 1.8505 2022/06/30 01:28:14 - mmengine - INFO - Epoch(train) [37][3280/3757] lr: 1.000e-02 eta: 18:07:31 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 6.0714 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8179 loss: 1.8179 2022/06/30 01:28:21 - mmengine - INFO - Epoch(train) [37][3300/3757] lr: 1.000e-02 eta: 18:07:27 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 5.9896 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1127 loss: 2.1127 2022/06/30 01:28:26 - mmengine - INFO - Epoch(train) [37][3320/3757] lr: 1.000e-02 eta: 18:07:21 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 6.0145 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0907 loss: 2.0907 2022/06/30 01:28:31 - mmengine - INFO - Epoch(train) [37][3340/3757] lr: 1.000e-02 eta: 18:07:15 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 5.6089 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2122 loss: 2.2122 2022/06/30 01:28:36 - mmengine - INFO - Epoch(train) [37][3360/3757] lr: 1.000e-02 eta: 18:07:09 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.2815 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8221 loss: 1.8221 2022/06/30 01:28:42 - mmengine - INFO - Epoch(train) [37][3380/3757] lr: 1.000e-02 eta: 18:07:03 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.8919 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8488 loss: 1.8488 2022/06/30 01:28:47 - mmengine - INFO - Epoch(train) [37][3400/3757] lr: 1.000e-02 eta: 18:06:57 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.4660 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5647 loss: 1.5647 2022/06/30 01:28:52 - mmengine - INFO - Epoch(train) [37][3420/3757] lr: 1.000e-02 eta: 18:06:51 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 5.4082 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3760 loss: 2.3760 2022/06/30 01:28:58 - mmengine - INFO - Epoch(train) [37][3440/3757] lr: 1.000e-02 eta: 18:06:46 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.7380 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1414 loss: 2.1414 2022/06/30 01:29:03 - mmengine - INFO - Epoch(train) [37][3460/3757] lr: 1.000e-02 eta: 18:06:40 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 5.7249 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0728 loss: 2.0728 2022/06/30 01:29:09 - mmengine - INFO - Epoch(train) [37][3480/3757] lr: 1.000e-02 eta: 18:06:34 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 5.5659 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8512 loss: 1.8512 2022/06/30 01:29:15 - mmengine - INFO - Epoch(train) [37][3500/3757] lr: 1.000e-02 eta: 18:06:29 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 4.9304 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3992 loss: 2.3992 2022/06/30 01:29:20 - mmengine - INFO - Epoch(train) [37][3520/3757] lr: 1.000e-02 eta: 18:06:24 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 5.8431 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6571 loss: 1.6571 2022/06/30 01:29:26 - mmengine - INFO - Epoch(train) [37][3540/3757] lr: 1.000e-02 eta: 18:06:19 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 6.0757 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2591 loss: 2.2591 2022/06/30 01:29:31 - mmengine - INFO - Epoch(train) [37][3560/3757] lr: 1.000e-02 eta: 18:06:13 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 6.2840 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7330 loss: 1.7330 2022/06/30 01:29:37 - mmengine - INFO - Epoch(train) [37][3580/3757] lr: 1.000e-02 eta: 18:06:08 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 4.8154 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5761 loss: 1.5761 2022/06/30 01:29:43 - mmengine - INFO - Epoch(train) [37][3600/3757] lr: 1.000e-02 eta: 18:06:04 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 5.5491 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8896 loss: 1.8896 2022/06/30 01:29:48 - mmengine - INFO - Epoch(train) [37][3620/3757] lr: 1.000e-02 eta: 18:05:58 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 6.4436 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7495 loss: 1.7495 2022/06/30 01:29:54 - mmengine - INFO - Epoch(train) [37][3640/3757] lr: 1.000e-02 eta: 18:05:52 time: 0.249 data_time: 0.016 memory: 6404 grad_norm: 4.9212 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0834 loss: 2.0834 2022/06/30 01:29:59 - mmengine - INFO - Epoch(train) [37][3660/3757] lr: 1.000e-02 eta: 18:05:46 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 5.2878 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9041 loss: 1.9041 2022/06/30 01:30:05 - mmengine - INFO - Epoch(train) [37][3680/3757] lr: 1.000e-02 eta: 18:05:41 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 6.4303 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4748 loss: 1.4748 2022/06/30 01:30:10 - mmengine - INFO - Epoch(train) [37][3700/3757] lr: 1.000e-02 eta: 18:05:35 time: 0.240 data_time: 0.009 memory: 6404 grad_norm: 6.3531 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0420 loss: 2.0420 2022/06/30 01:30:16 - mmengine - INFO - Epoch(train) [37][3720/3757] lr: 1.000e-02 eta: 18:05:31 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 5.3915 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6250 loss: 1.6250 2022/06/30 01:30:22 - mmengine - INFO - Epoch(train) [37][3740/3757] lr: 1.000e-02 eta: 18:05:26 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.8090 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9125 loss: 1.9125 2022/06/30 01:30:24 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 01:30:26 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 01:30:33 - mmengine - INFO - Epoch(val) [37][20/310] eta: 0:01:23 time: 0.101 data_time: 0.009 memory: 6404 2022/06/30 01:30:39 - mmengine - INFO - Epoch(val) [37][40/310] eta: 0:01:15 time: 0.144 data_time: 0.068 memory: 1479 2022/06/30 01:30:43 - mmengine - INFO - Epoch(val) [37][60/310] eta: 0:00:23 time: 0.103 data_time: 0.013 memory: 1479 2022/06/30 01:30:50 - mmengine - INFO - Epoch(val) [37][80/310] eta: 0:01:15 time: 0.090 data_time: 0.009 memory: 1479 2022/06/30 01:30:56 - mmengine - INFO - Epoch(val) [37][100/310] eta: 0:01:01 time: 0.876 data_time: 0.795 memory: 1479 2022/06/30 01:30:59 - mmengine - INFO - Epoch(val) [37][120/310] eta: 0:00:28 time: 0.086 data_time: 0.006 memory: 1479 2022/06/30 01:31:06 - mmengine - INFO - Epoch(val) [37][140/310] eta: 0:00:53 time: 0.084 data_time: 0.006 memory: 1479 2022/06/30 01:31:12 - mmengine - INFO - Epoch(val) [37][160/310] eta: 0:00:42 time: 1.562 data_time: 1.482 memory: 1479 2022/06/30 01:31:16 - mmengine - INFO - Epoch(val) [37][180/310] eta: 0:00:30 time: 0.081 data_time: 0.007 memory: 1479 2022/06/30 01:31:21 - mmengine - INFO - Epoch(val) [37][200/310] eta: 0:00:33 time: 0.086 data_time: 0.005 memory: 1479 2022/06/30 01:31:27 - mmengine - INFO - Epoch(val) [37][220/310] eta: 0:00:26 time: 0.395 data_time: 0.307 memory: 1479 2022/06/30 01:31:31 - mmengine - INFO - Epoch(val) [37][240/310] eta: 0:00:17 time: 0.088 data_time: 0.006 memory: 1479 2022/06/30 01:31:37 - mmengine - INFO - Epoch(val) [37][260/310] eta: 0:00:15 time: 0.093 data_time: 0.005 memory: 1479 2022/06/30 01:31:43 - mmengine - INFO - Epoch(val) [37][280/310] eta: 0:00:08 time: 1.080 data_time: 0.997 memory: 1479 2022/06/30 01:31:47 - mmengine - INFO - Epoch(val) [37][300/310] eta: 0:00:02 time: 0.085 data_time: 0.006 memory: 1479 2022/06/30 01:31:50 - mmengine - INFO - Epoch(val) [37][310/310] acc/top1: 0.5777 acc/top5: 0.8084 acc/mean1: 0.5776 2022/06/30 01:31:59 - mmengine - INFO - Epoch(train) [38][20/3757] lr: 1.000e-02 eta: 18:05:18 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.3092 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5953 loss: 1.5953 2022/06/30 01:32:05 - mmengine - INFO - Epoch(train) [38][40/3757] lr: 1.000e-02 eta: 18:05:13 time: 0.235 data_time: 0.010 memory: 6404 grad_norm: 6.8933 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4862 loss: 2.4862 2022/06/30 01:32:11 - mmengine - INFO - Epoch(train) [38][60/3757] lr: 1.000e-02 eta: 18:05:07 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 5.1426 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0500 loss: 2.0500 2022/06/30 01:32:16 - mmengine - INFO - Epoch(train) [38][80/3757] lr: 1.000e-02 eta: 18:05:02 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.4383 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7073 loss: 1.7073 2022/06/30 01:32:21 - mmengine - INFO - Epoch(train) [38][100/3757] lr: 1.000e-02 eta: 18:04:56 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.9364 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7919 loss: 1.7919 2022/06/30 01:32:27 - mmengine - INFO - Epoch(train) [38][120/3757] lr: 1.000e-02 eta: 18:04:50 time: 0.263 data_time: 0.010 memory: 6404 grad_norm: 5.1657 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7150 loss: 1.7150 2022/06/30 01:32:32 - mmengine - INFO - Epoch(train) [38][140/3757] lr: 1.000e-02 eta: 18:04:45 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.4656 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8112 loss: 1.8112 2022/06/30 01:32:38 - mmengine - INFO - Epoch(train) [38][160/3757] lr: 1.000e-02 eta: 18:04:40 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.1226 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8019 loss: 1.8019 2022/06/30 01:32:43 - mmengine - INFO - Epoch(train) [38][180/3757] lr: 1.000e-02 eta: 18:04:34 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 5.9555 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9917 loss: 1.9917 2022/06/30 01:32:49 - mmengine - INFO - Epoch(train) [38][200/3757] lr: 1.000e-02 eta: 18:04:28 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.1535 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0777 loss: 2.0777 2022/06/30 01:32:54 - mmengine - INFO - Epoch(train) [38][220/3757] lr: 1.000e-02 eta: 18:04:22 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.4875 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9223 loss: 1.9223 2022/06/30 01:33:00 - mmengine - INFO - Epoch(train) [38][240/3757] lr: 1.000e-02 eta: 18:04:17 time: 0.339 data_time: 0.010 memory: 6404 grad_norm: 5.7784 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5251 loss: 1.5251 2022/06/30 01:33:05 - mmengine - INFO - Epoch(train) [38][260/3757] lr: 1.000e-02 eta: 18:04:12 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 6.1644 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5500 loss: 1.5500 2022/06/30 01:33:11 - mmengine - INFO - Epoch(train) [38][280/3757] lr: 1.000e-02 eta: 18:04:06 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.7535 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0769 loss: 2.0769 2022/06/30 01:33:16 - mmengine - INFO - Epoch(train) [38][300/3757] lr: 1.000e-02 eta: 18:04:00 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 6.2470 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7613 loss: 1.7613 2022/06/30 01:33:21 - mmengine - INFO - Epoch(train) [38][320/3757] lr: 1.000e-02 eta: 18:03:54 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.2785 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6013 loss: 1.6013 2022/06/30 01:33:27 - mmengine - INFO - Epoch(train) [38][340/3757] lr: 1.000e-02 eta: 18:03:49 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.6603 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7508 loss: 1.7508 2022/06/30 01:33:33 - mmengine - INFO - Epoch(train) [38][360/3757] lr: 1.000e-02 eta: 18:03:43 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.1257 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.1155 loss: 2.1155 2022/06/30 01:33:38 - mmengine - INFO - Epoch(train) [38][380/3757] lr: 1.000e-02 eta: 18:03:38 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 5.4655 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8027 loss: 1.8027 2022/06/30 01:33:43 - mmengine - INFO - Epoch(train) [38][400/3757] lr: 1.000e-02 eta: 18:03:32 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.1641 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0620 loss: 2.0620 2022/06/30 01:33:49 - mmengine - INFO - Epoch(train) [38][420/3757] lr: 1.000e-02 eta: 18:03:27 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 5.8581 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9423 loss: 1.9423 2022/06/30 01:33:54 - mmengine - INFO - Epoch(train) [38][440/3757] lr: 1.000e-02 eta: 18:03:21 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.5836 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0423 loss: 2.0423 2022/06/30 01:34:01 - mmengine - INFO - Epoch(train) [38][460/3757] lr: 1.000e-02 eta: 18:03:17 time: 0.607 data_time: 0.006 memory: 6404 grad_norm: 5.9199 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5244 loss: 1.5244 2022/06/30 01:34:06 - mmengine - INFO - Epoch(train) [38][480/3757] lr: 1.000e-02 eta: 18:03:11 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 6.4032 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0803 loss: 2.0803 2022/06/30 01:34:11 - mmengine - INFO - Epoch(train) [38][500/3757] lr: 1.000e-02 eta: 18:03:05 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 5.5366 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5326 loss: 1.5326 2022/06/30 01:34:16 - mmengine - INFO - Epoch(train) [38][520/3757] lr: 1.000e-02 eta: 18:02:59 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.2390 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9462 loss: 1.9462 2022/06/30 01:34:22 - mmengine - INFO - Epoch(train) [38][540/3757] lr: 1.000e-02 eta: 18:02:54 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 6.6119 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1599 loss: 2.1599 2022/06/30 01:34:27 - mmengine - INFO - Epoch(train) [38][560/3757] lr: 1.000e-02 eta: 18:02:48 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.9515 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2290 loss: 2.2290 2022/06/30 01:34:33 - mmengine - INFO - Epoch(train) [38][580/3757] lr: 1.000e-02 eta: 18:02:42 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.9426 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6340 loss: 1.6340 2022/06/30 01:34:38 - mmengine - INFO - Epoch(train) [38][600/3757] lr: 1.000e-02 eta: 18:02:37 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 5.5544 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0798 loss: 2.0798 2022/06/30 01:34:44 - mmengine - INFO - Epoch(train) [38][620/3757] lr: 1.000e-02 eta: 18:02:31 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 5.7464 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5678 loss: 1.5678 2022/06/30 01:34:50 - mmengine - INFO - Epoch(train) [38][640/3757] lr: 1.000e-02 eta: 18:02:27 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 5.2293 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9291 loss: 1.9291 2022/06/30 01:34:55 - mmengine - INFO - Epoch(train) [38][660/3757] lr: 1.000e-02 eta: 18:02:20 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 5.4733 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1205 loss: 2.1205 2022/06/30 01:35:00 - mmengine - INFO - Epoch(train) [38][680/3757] lr: 1.000e-02 eta: 18:02:15 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 6.2938 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0083 loss: 2.0083 2022/06/30 01:35:06 - mmengine - INFO - Epoch(train) [38][700/3757] lr: 1.000e-02 eta: 18:02:10 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.4772 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9913 loss: 1.9913 2022/06/30 01:35:12 - mmengine - INFO - Epoch(train) [38][720/3757] lr: 1.000e-02 eta: 18:02:04 time: 0.256 data_time: 0.013 memory: 6404 grad_norm: 6.2937 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3130 loss: 1.3130 2022/06/30 01:35:17 - mmengine - INFO - Epoch(train) [38][740/3757] lr: 1.000e-02 eta: 18:01:58 time: 0.246 data_time: 0.020 memory: 6404 grad_norm: 6.1102 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9444 loss: 1.9444 2022/06/30 01:35:22 - mmengine - INFO - Epoch(train) [38][760/3757] lr: 1.000e-02 eta: 18:01:53 time: 0.243 data_time: 0.006 memory: 6404 grad_norm: 5.3210 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7731 loss: 1.7731 2022/06/30 01:35:28 - mmengine - INFO - Epoch(train) [38][780/3757] lr: 1.000e-02 eta: 18:01:47 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.1046 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8302 loss: 1.8302 2022/06/30 01:35:33 - mmengine - INFO - Epoch(train) [38][800/3757] lr: 1.000e-02 eta: 18:01:41 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.8359 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0535 loss: 2.0535 2022/06/30 01:35:39 - mmengine - INFO - Epoch(train) [38][820/3757] lr: 1.000e-02 eta: 18:01:37 time: 0.300 data_time: 0.006 memory: 6404 grad_norm: 6.5096 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8398 loss: 1.8398 2022/06/30 01:35:44 - mmengine - INFO - Epoch(train) [38][840/3757] lr: 1.000e-02 eta: 18:01:31 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.1480 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7127 loss: 1.7127 2022/06/30 01:35:50 - mmengine - INFO - Epoch(train) [38][860/3757] lr: 1.000e-02 eta: 18:01:25 time: 0.243 data_time: 0.039 memory: 6404 grad_norm: 5.6220 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7721 loss: 1.7721 2022/06/30 01:35:55 - mmengine - INFO - Epoch(train) [38][880/3757] lr: 1.000e-02 eta: 18:01:19 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.7121 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5654 loss: 1.5654 2022/06/30 01:36:01 - mmengine - INFO - Epoch(train) [38][900/3757] lr: 1.000e-02 eta: 18:01:15 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 6.9138 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0596 loss: 2.0596 2022/06/30 01:36:06 - mmengine - INFO - Epoch(train) [38][920/3757] lr: 1.000e-02 eta: 18:01:08 time: 0.255 data_time: 0.015 memory: 6404 grad_norm: 5.6638 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6887 loss: 1.6887 2022/06/30 01:36:12 - mmengine - INFO - Epoch(train) [38][940/3757] lr: 1.000e-02 eta: 18:01:03 time: 0.241 data_time: 0.007 memory: 6404 grad_norm: 5.4215 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4812 loss: 1.4812 2022/06/30 01:36:17 - mmengine - INFO - Epoch(train) [38][960/3757] lr: 1.000e-02 eta: 18:00:57 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 6.4823 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8610 loss: 1.8610 2022/06/30 01:36:24 - mmengine - INFO - Epoch(train) [38][980/3757] lr: 1.000e-02 eta: 18:00:54 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.2695 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7533 loss: 1.7533 2022/06/30 01:36:27 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 01:36:29 - mmengine - INFO - Epoch(train) [38][1000/3757] lr: 1.000e-02 eta: 18:00:48 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.3885 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8020 loss: 1.8020 2022/06/30 01:36:35 - mmengine - INFO - Epoch(train) [38][1020/3757] lr: 1.000e-02 eta: 18:00:42 time: 0.265 data_time: 0.014 memory: 6404 grad_norm: 4.2646 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8200 loss: 1.8200 2022/06/30 01:36:40 - mmengine - INFO - Epoch(train) [38][1040/3757] lr: 1.000e-02 eta: 18:00:36 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 5.6499 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6231 loss: 1.6231 2022/06/30 01:36:45 - mmengine - INFO - Epoch(train) [38][1060/3757] lr: 1.000e-02 eta: 18:00:30 time: 0.242 data_time: 0.009 memory: 6404 grad_norm: 4.9415 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8764 loss: 1.8764 2022/06/30 01:36:51 - mmengine - INFO - Epoch(train) [38][1080/3757] lr: 1.000e-02 eta: 18:00:25 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.5147 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9276 loss: 1.9276 2022/06/30 01:36:56 - mmengine - INFO - Epoch(train) [38][1100/3757] lr: 1.000e-02 eta: 18:00:19 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 5.1634 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5821 loss: 1.5821 2022/06/30 01:37:02 - mmengine - INFO - Epoch(train) [38][1120/3757] lr: 1.000e-02 eta: 18:00:14 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 5.3209 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9982 loss: 1.9982 2022/06/30 01:37:08 - mmengine - INFO - Epoch(train) [38][1140/3757] lr: 1.000e-02 eta: 18:00:09 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 6.0219 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9739 loss: 1.9739 2022/06/30 01:37:13 - mmengine - INFO - Epoch(train) [38][1160/3757] lr: 1.000e-02 eta: 18:00:03 time: 0.245 data_time: 0.013 memory: 6404 grad_norm: 5.9091 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6716 loss: 1.6716 2022/06/30 01:37:18 - mmengine - INFO - Epoch(train) [38][1180/3757] lr: 1.000e-02 eta: 17:59:57 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 5.5278 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6413 loss: 1.6413 2022/06/30 01:37:24 - mmengine - INFO - Epoch(train) [38][1200/3757] lr: 1.000e-02 eta: 17:59:52 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.2575 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5872 loss: 1.5872 2022/06/30 01:37:29 - mmengine - INFO - Epoch(train) [38][1220/3757] lr: 1.000e-02 eta: 17:59:46 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 5.8548 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0923 loss: 2.0923 2022/06/30 01:37:34 - mmengine - INFO - Epoch(train) [38][1240/3757] lr: 1.000e-02 eta: 17:59:40 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.1284 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4050 loss: 1.4050 2022/06/30 01:37:40 - mmengine - INFO - Epoch(train) [38][1260/3757] lr: 1.000e-02 eta: 17:59:34 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.1967 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9158 loss: 1.9158 2022/06/30 01:37:46 - mmengine - INFO - Epoch(train) [38][1280/3757] lr: 1.000e-02 eta: 17:59:29 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 5.3936 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9362 loss: 1.9362 2022/06/30 01:37:51 - mmengine - INFO - Epoch(train) [38][1300/3757] lr: 1.000e-02 eta: 17:59:24 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.5191 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8042 loss: 1.8042 2022/06/30 01:37:57 - mmengine - INFO - Epoch(train) [38][1320/3757] lr: 1.000e-02 eta: 17:59:18 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 6.6128 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7447 loss: 1.7447 2022/06/30 01:38:02 - mmengine - INFO - Epoch(train) [38][1340/3757] lr: 1.000e-02 eta: 17:59:12 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 5.0086 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9799 loss: 1.9799 2022/06/30 01:38:08 - mmengine - INFO - Epoch(train) [38][1360/3757] lr: 1.000e-02 eta: 17:59:07 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 6.1501 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3119 loss: 2.3119 2022/06/30 01:38:13 - mmengine - INFO - Epoch(train) [38][1380/3757] lr: 1.000e-02 eta: 17:59:02 time: 0.624 data_time: 0.010 memory: 6404 grad_norm: 5.7921 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7784 loss: 1.7784 2022/06/30 01:38:19 - mmengine - INFO - Epoch(train) [38][1400/3757] lr: 1.000e-02 eta: 17:58:57 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 6.6367 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0169 loss: 2.0169 2022/06/30 01:38:25 - mmengine - INFO - Epoch(train) [38][1420/3757] lr: 1.000e-02 eta: 17:58:52 time: 0.262 data_time: 0.010 memory: 6404 grad_norm: 5.8873 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8836 loss: 1.8836 2022/06/30 01:38:30 - mmengine - INFO - Epoch(train) [38][1440/3757] lr: 1.000e-02 eta: 17:58:46 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 6.0406 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9695 loss: 1.9695 2022/06/30 01:38:35 - mmengine - INFO - Epoch(train) [38][1460/3757] lr: 1.000e-02 eta: 17:58:40 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 6.5470 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0271 loss: 2.0271 2022/06/30 01:38:41 - mmengine - INFO - Epoch(train) [38][1480/3757] lr: 1.000e-02 eta: 17:58:36 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 5.6788 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6097 loss: 1.6097 2022/06/30 01:38:47 - mmengine - INFO - Epoch(train) [38][1500/3757] lr: 1.000e-02 eta: 17:58:29 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 5.7199 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6646 loss: 1.6646 2022/06/30 01:38:52 - mmengine - INFO - Epoch(train) [38][1520/3757] lr: 1.000e-02 eta: 17:58:24 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 5.1459 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9199 loss: 1.9199 2022/06/30 01:38:57 - mmengine - INFO - Epoch(train) [38][1540/3757] lr: 1.000e-02 eta: 17:58:18 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 4.9384 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8036 loss: 1.8036 2022/06/30 01:39:03 - mmengine - INFO - Epoch(train) [38][1560/3757] lr: 1.000e-02 eta: 17:58:13 time: 0.655 data_time: 0.009 memory: 6404 grad_norm: 6.3404 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2014 loss: 2.2014 2022/06/30 01:39:09 - mmengine - INFO - Epoch(train) [38][1580/3757] lr: 1.000e-02 eta: 17:58:08 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 5.9996 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6711 loss: 1.6711 2022/06/30 01:39:14 - mmengine - INFO - Epoch(train) [38][1600/3757] lr: 1.000e-02 eta: 17:58:02 time: 0.276 data_time: 0.031 memory: 6404 grad_norm: 5.9492 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2252 loss: 2.2252 2022/06/30 01:39:20 - mmengine - INFO - Epoch(train) [38][1620/3757] lr: 1.000e-02 eta: 17:57:56 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 5.7327 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6744 loss: 1.6744 2022/06/30 01:39:25 - mmengine - INFO - Epoch(train) [38][1640/3757] lr: 1.000e-02 eta: 17:57:51 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.1689 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9760 loss: 1.9760 2022/06/30 01:39:31 - mmengine - INFO - Epoch(train) [38][1660/3757] lr: 1.000e-02 eta: 17:57:46 time: 0.834 data_time: 0.056 memory: 6404 grad_norm: 6.8421 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6836 loss: 1.6836 2022/06/30 01:39:36 - mmengine - INFO - Epoch(train) [38][1680/3757] lr: 1.000e-02 eta: 17:57:40 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 6.3599 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3832 loss: 2.3832 2022/06/30 01:39:42 - mmengine - INFO - Epoch(train) [38][1700/3757] lr: 1.000e-02 eta: 17:57:35 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.9677 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9344 loss: 1.9344 2022/06/30 01:39:48 - mmengine - INFO - Epoch(train) [38][1720/3757] lr: 1.000e-02 eta: 17:57:29 time: 0.361 data_time: 0.013 memory: 6404 grad_norm: 6.0789 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7221 loss: 1.7221 2022/06/30 01:39:53 - mmengine - INFO - Epoch(train) [38][1740/3757] lr: 1.000e-02 eta: 17:57:24 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.0690 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7985 loss: 1.7985 2022/06/30 01:39:58 - mmengine - INFO - Epoch(train) [38][1760/3757] lr: 1.000e-02 eta: 17:57:18 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.7621 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6110 loss: 1.6110 2022/06/30 01:40:04 - mmengine - INFO - Epoch(train) [38][1780/3757] lr: 1.000e-02 eta: 17:57:13 time: 0.740 data_time: 0.010 memory: 6404 grad_norm: 6.0973 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8836 loss: 1.8836 2022/06/30 01:40:09 - mmengine - INFO - Epoch(train) [38][1800/3757] lr: 1.000e-02 eta: 17:57:07 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.8982 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9802 loss: 1.9802 2022/06/30 01:40:15 - mmengine - INFO - Epoch(train) [38][1820/3757] lr: 1.000e-02 eta: 17:57:02 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.1607 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8238 loss: 1.8238 2022/06/30 01:40:21 - mmengine - INFO - Epoch(train) [38][1840/3757] lr: 1.000e-02 eta: 17:56:57 time: 0.491 data_time: 0.011 memory: 6404 grad_norm: 5.6994 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1460 loss: 2.1460 2022/06/30 01:40:27 - mmengine - INFO - Epoch(train) [38][1860/3757] lr: 1.000e-02 eta: 17:56:52 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.7169 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4790 loss: 2.4790 2022/06/30 01:40:32 - mmengine - INFO - Epoch(train) [38][1880/3757] lr: 1.000e-02 eta: 17:56:46 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.8218 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8127 loss: 1.8127 2022/06/30 01:40:38 - mmengine - INFO - Epoch(train) [38][1900/3757] lr: 1.000e-02 eta: 17:56:40 time: 0.268 data_time: 0.010 memory: 6404 grad_norm: 5.5780 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0239 loss: 2.0239 2022/06/30 01:40:43 - mmengine - INFO - Epoch(train) [38][1920/3757] lr: 1.000e-02 eta: 17:56:34 time: 0.242 data_time: 0.014 memory: 6404 grad_norm: 6.1915 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8302 loss: 1.8302 2022/06/30 01:40:48 - mmengine - INFO - Epoch(train) [38][1940/3757] lr: 1.000e-02 eta: 17:56:29 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 6.0649 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9357 loss: 1.9357 2022/06/30 01:40:53 - mmengine - INFO - Epoch(train) [38][1960/3757] lr: 1.000e-02 eta: 17:56:23 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 6.1503 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7497 loss: 1.7497 2022/06/30 01:40:59 - mmengine - INFO - Epoch(train) [38][1980/3757] lr: 1.000e-02 eta: 17:56:17 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.2268 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8503 loss: 1.8503 2022/06/30 01:41:02 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 01:41:04 - mmengine - INFO - Epoch(train) [38][2000/3757] lr: 1.000e-02 eta: 17:56:11 time: 0.248 data_time: 0.020 memory: 6404 grad_norm: 6.0728 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1320 loss: 2.1320 2022/06/30 01:41:10 - mmengine - INFO - Epoch(train) [38][2020/3757] lr: 1.000e-02 eta: 17:56:06 time: 0.335 data_time: 0.007 memory: 6404 grad_norm: 5.1787 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6251 loss: 1.6251 2022/06/30 01:41:16 - mmengine - INFO - Epoch(train) [38][2040/3757] lr: 1.000e-02 eta: 17:56:01 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 6.2208 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7535 loss: 1.7535 2022/06/30 01:41:21 - mmengine - INFO - Epoch(train) [38][2060/3757] lr: 1.000e-02 eta: 17:55:56 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 5.7995 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8061 loss: 1.8061 2022/06/30 01:41:27 - mmengine - INFO - Epoch(train) [38][2080/3757] lr: 1.000e-02 eta: 17:55:50 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 6.0587 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0969 loss: 2.0969 2022/06/30 01:41:33 - mmengine - INFO - Epoch(train) [38][2100/3757] lr: 1.000e-02 eta: 17:55:46 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 6.0650 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9366 loss: 1.9366 2022/06/30 01:41:38 - mmengine - INFO - Epoch(train) [38][2120/3757] lr: 1.000e-02 eta: 17:55:40 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 5.5177 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9664 loss: 1.9664 2022/06/30 01:41:44 - mmengine - INFO - Epoch(train) [38][2140/3757] lr: 1.000e-02 eta: 17:55:35 time: 0.312 data_time: 0.014 memory: 6404 grad_norm: 5.4862 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5130 loss: 1.5130 2022/06/30 01:41:49 - mmengine - INFO - Epoch(train) [38][2160/3757] lr: 1.000e-02 eta: 17:55:29 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 6.0747 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9542 loss: 1.9542 2022/06/30 01:41:55 - mmengine - INFO - Epoch(train) [38][2180/3757] lr: 1.000e-02 eta: 17:55:23 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 5.9417 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9145 loss: 1.9145 2022/06/30 01:42:00 - mmengine - INFO - Epoch(train) [38][2200/3757] lr: 1.000e-02 eta: 17:55:17 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 6.0769 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8202 loss: 1.8202 2022/06/30 01:42:07 - mmengine - INFO - Epoch(train) [38][2220/3757] lr: 1.000e-02 eta: 17:55:14 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 5.8196 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7964 loss: 1.7964 2022/06/30 01:42:12 - mmengine - INFO - Epoch(train) [38][2240/3757] lr: 1.000e-02 eta: 17:55:08 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 6.1899 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4238 loss: 1.4238 2022/06/30 01:42:17 - mmengine - INFO - Epoch(train) [38][2260/3757] lr: 1.000e-02 eta: 17:55:01 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 6.6763 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9742 loss: 1.9742 2022/06/30 01:42:22 - mmengine - INFO - Epoch(train) [38][2280/3757] lr: 1.000e-02 eta: 17:54:56 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 5.5402 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6030 loss: 1.6030 2022/06/30 01:42:28 - mmengine - INFO - Epoch(train) [38][2300/3757] lr: 1.000e-02 eta: 17:54:51 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.5169 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8397 loss: 1.8397 2022/06/30 01:42:34 - mmengine - INFO - Epoch(train) [38][2320/3757] lr: 1.000e-02 eta: 17:54:45 time: 0.246 data_time: 0.023 memory: 6404 grad_norm: 5.7895 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7484 loss: 1.7484 2022/06/30 01:42:39 - mmengine - INFO - Epoch(train) [38][2340/3757] lr: 1.000e-02 eta: 17:54:39 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 5.5423 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2922 loss: 2.2922 2022/06/30 01:42:44 - mmengine - INFO - Epoch(train) [38][2360/3757] lr: 1.000e-02 eta: 17:54:33 time: 0.246 data_time: 0.015 memory: 6404 grad_norm: 5.5061 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5348 loss: 1.5348 2022/06/30 01:42:50 - mmengine - INFO - Epoch(train) [38][2380/3757] lr: 1.000e-02 eta: 17:54:28 time: 0.240 data_time: 0.022 memory: 6404 grad_norm: 5.4290 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6648 loss: 1.6648 2022/06/30 01:42:55 - mmengine - INFO - Epoch(train) [38][2400/3757] lr: 1.000e-02 eta: 17:54:22 time: 0.244 data_time: 0.015 memory: 6404 grad_norm: 5.9699 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7408 loss: 1.7408 2022/06/30 01:43:01 - mmengine - INFO - Epoch(train) [38][2420/3757] lr: 1.000e-02 eta: 17:54:17 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.6288 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9234 loss: 1.9234 2022/06/30 01:43:06 - mmengine - INFO - Epoch(train) [38][2440/3757] lr: 1.000e-02 eta: 17:54:12 time: 0.286 data_time: 0.019 memory: 6404 grad_norm: 5.3868 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1718 loss: 2.1718 2022/06/30 01:43:11 - mmengine - INFO - Epoch(train) [38][2460/3757] lr: 1.000e-02 eta: 17:54:06 time: 0.266 data_time: 0.017 memory: 6404 grad_norm: 7.1103 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9221 loss: 1.9221 2022/06/30 01:43:17 - mmengine - INFO - Epoch(train) [38][2480/3757] lr: 1.000e-02 eta: 17:54:00 time: 0.276 data_time: 0.007 memory: 6404 grad_norm: 5.8253 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0903 loss: 2.0903 2022/06/30 01:43:22 - mmengine - INFO - Epoch(train) [38][2500/3757] lr: 1.000e-02 eta: 17:53:54 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 6.3060 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4820 loss: 2.4820 2022/06/30 01:43:28 - mmengine - INFO - Epoch(train) [38][2520/3757] lr: 1.000e-02 eta: 17:53:49 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 5.7477 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8882 loss: 1.8882 2022/06/30 01:43:33 - mmengine - INFO - Epoch(train) [38][2540/3757] lr: 1.000e-02 eta: 17:53:43 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.4751 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2737 loss: 2.2737 2022/06/30 01:43:39 - mmengine - INFO - Epoch(train) [38][2560/3757] lr: 1.000e-02 eta: 17:53:38 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.1100 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8193 loss: 1.8193 2022/06/30 01:43:44 - mmengine - INFO - Epoch(train) [38][2580/3757] lr: 1.000e-02 eta: 17:53:32 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 5.4120 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7800 loss: 1.7800 2022/06/30 01:43:50 - mmengine - INFO - Epoch(train) [38][2600/3757] lr: 1.000e-02 eta: 17:53:27 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 4.9247 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2472 loss: 2.2472 2022/06/30 01:43:56 - mmengine - INFO - Epoch(train) [38][2620/3757] lr: 1.000e-02 eta: 17:53:22 time: 0.266 data_time: 0.016 memory: 6404 grad_norm: 6.2106 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9986 loss: 1.9986 2022/06/30 01:44:01 - mmengine - INFO - Epoch(train) [38][2640/3757] lr: 1.000e-02 eta: 17:53:16 time: 0.292 data_time: 0.011 memory: 6404 grad_norm: 6.2474 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6516 loss: 1.6516 2022/06/30 01:44:07 - mmengine - INFO - Epoch(train) [38][2660/3757] lr: 1.000e-02 eta: 17:53:11 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.4614 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6411 loss: 1.6411 2022/06/30 01:44:12 - mmengine - INFO - Epoch(train) [38][2680/3757] lr: 1.000e-02 eta: 17:53:05 time: 0.263 data_time: 0.071 memory: 6404 grad_norm: 5.8017 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8473 loss: 1.8473 2022/06/30 01:44:17 - mmengine - INFO - Epoch(train) [38][2700/3757] lr: 1.000e-02 eta: 17:52:59 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.2610 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0014 loss: 2.0014 2022/06/30 01:44:23 - mmengine - INFO - Epoch(train) [38][2720/3757] lr: 1.000e-02 eta: 17:52:54 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 5.9388 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8630 loss: 1.8630 2022/06/30 01:44:29 - mmengine - INFO - Epoch(train) [38][2740/3757] lr: 1.000e-02 eta: 17:52:49 time: 0.253 data_time: 0.015 memory: 6404 grad_norm: 5.4879 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6141 loss: 1.6141 2022/06/30 01:44:35 - mmengine - INFO - Epoch(train) [38][2760/3757] lr: 1.000e-02 eta: 17:52:45 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 5.4922 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5872 loss: 1.5872 2022/06/30 01:44:40 - mmengine - INFO - Epoch(train) [38][2780/3757] lr: 1.000e-02 eta: 17:52:38 time: 0.267 data_time: 0.010 memory: 6404 grad_norm: 5.1185 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9341 loss: 1.9341 2022/06/30 01:44:45 - mmengine - INFO - Epoch(train) [38][2800/3757] lr: 1.000e-02 eta: 17:52:32 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 4.8235 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6369 loss: 1.6369 2022/06/30 01:44:51 - mmengine - INFO - Epoch(train) [38][2820/3757] lr: 1.000e-02 eta: 17:52:26 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 6.0068 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8713 loss: 1.8713 2022/06/30 01:44:56 - mmengine - INFO - Epoch(train) [38][2840/3757] lr: 1.000e-02 eta: 17:52:20 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 6.3449 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7697 loss: 1.7697 2022/06/30 01:45:01 - mmengine - INFO - Epoch(train) [38][2860/3757] lr: 1.000e-02 eta: 17:52:14 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.8963 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8335 loss: 1.8335 2022/06/30 01:45:06 - mmengine - INFO - Epoch(train) [38][2880/3757] lr: 1.000e-02 eta: 17:52:08 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.8744 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1271 loss: 2.1271 2022/06/30 01:45:12 - mmengine - INFO - Epoch(train) [38][2900/3757] lr: 1.000e-02 eta: 17:52:03 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 6.1194 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5229 loss: 2.5229 2022/06/30 01:45:18 - mmengine - INFO - Epoch(train) [38][2920/3757] lr: 1.000e-02 eta: 17:51:58 time: 0.515 data_time: 0.006 memory: 6404 grad_norm: 5.8172 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8145 loss: 1.8145 2022/06/30 01:45:23 - mmengine - INFO - Epoch(train) [38][2940/3757] lr: 1.000e-02 eta: 17:51:53 time: 0.252 data_time: 0.028 memory: 6404 grad_norm: 5.3250 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0868 loss: 2.0868 2022/06/30 01:45:29 - mmengine - INFO - Epoch(train) [38][2960/3757] lr: 1.000e-02 eta: 17:51:47 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 4.8570 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6856 loss: 1.6856 2022/06/30 01:45:35 - mmengine - INFO - Epoch(train) [38][2980/3757] lr: 1.000e-02 eta: 17:51:42 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.1914 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6884 loss: 1.6884 2022/06/30 01:45:38 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 01:45:40 - mmengine - INFO - Epoch(train) [38][3000/3757] lr: 1.000e-02 eta: 17:51:37 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 4.9265 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5402 loss: 2.5402 2022/06/30 01:45:46 - mmengine - INFO - Epoch(train) [38][3020/3757] lr: 1.000e-02 eta: 17:51:32 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 5.4175 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9901 loss: 1.9901 2022/06/30 01:45:52 - mmengine - INFO - Epoch(train) [38][3040/3757] lr: 1.000e-02 eta: 17:51:26 time: 0.264 data_time: 0.012 memory: 6404 grad_norm: 6.1764 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8513 loss: 1.8513 2022/06/30 01:45:57 - mmengine - INFO - Epoch(train) [38][3060/3757] lr: 1.000e-02 eta: 17:51:21 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.9382 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7856 loss: 1.7856 2022/06/30 01:46:03 - mmengine - INFO - Epoch(train) [38][3080/3757] lr: 1.000e-02 eta: 17:51:15 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 6.2892 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9098 loss: 1.9098 2022/06/30 01:46:08 - mmengine - INFO - Epoch(train) [38][3100/3757] lr: 1.000e-02 eta: 17:51:09 time: 0.241 data_time: 0.012 memory: 6404 grad_norm: 4.6793 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7866 loss: 1.7866 2022/06/30 01:46:13 - mmengine - INFO - Epoch(train) [38][3120/3757] lr: 1.000e-02 eta: 17:51:04 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 4.7581 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0861 loss: 2.0861 2022/06/30 01:46:18 - mmengine - INFO - Epoch(train) [38][3140/3757] lr: 1.000e-02 eta: 17:50:58 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.7740 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5295 loss: 1.5295 2022/06/30 01:46:24 - mmengine - INFO - Epoch(train) [38][3160/3757] lr: 1.000e-02 eta: 17:50:52 time: 0.251 data_time: 0.014 memory: 6404 grad_norm: 5.7564 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5191 loss: 1.5191 2022/06/30 01:46:29 - mmengine - INFO - Epoch(train) [38][3180/3757] lr: 1.000e-02 eta: 17:50:46 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.0982 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1012 loss: 2.1012 2022/06/30 01:46:35 - mmengine - INFO - Epoch(train) [38][3200/3757] lr: 1.000e-02 eta: 17:50:41 time: 0.245 data_time: 0.017 memory: 6404 grad_norm: 5.2013 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3195 loss: 2.3195 2022/06/30 01:46:40 - mmengine - INFO - Epoch(train) [38][3220/3757] lr: 1.000e-02 eta: 17:50:36 time: 0.537 data_time: 0.020 memory: 6404 grad_norm: 5.8801 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9277 loss: 1.9277 2022/06/30 01:46:46 - mmengine - INFO - Epoch(train) [38][3240/3757] lr: 1.000e-02 eta: 17:50:30 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.3482 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6373 loss: 1.6373 2022/06/30 01:46:51 - mmengine - INFO - Epoch(train) [38][3260/3757] lr: 1.000e-02 eta: 17:50:25 time: 0.276 data_time: 0.066 memory: 6404 grad_norm: 5.2595 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8335 loss: 1.8335 2022/06/30 01:46:57 - mmengine - INFO - Epoch(train) [38][3280/3757] lr: 1.000e-02 eta: 17:50:19 time: 0.256 data_time: 0.015 memory: 6404 grad_norm: 4.9504 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7104 loss: 1.7104 2022/06/30 01:47:03 - mmengine - INFO - Epoch(train) [38][3300/3757] lr: 1.000e-02 eta: 17:50:14 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 5.2488 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9252 loss: 1.9252 2022/06/30 01:47:08 - mmengine - INFO - Epoch(train) [38][3320/3757] lr: 1.000e-02 eta: 17:50:09 time: 0.262 data_time: 0.053 memory: 6404 grad_norm: 5.9985 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7892 loss: 1.7892 2022/06/30 01:47:14 - mmengine - INFO - Epoch(train) [38][3340/3757] lr: 1.000e-02 eta: 17:50:03 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 6.1258 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5053 loss: 2.5053 2022/06/30 01:47:19 - mmengine - INFO - Epoch(train) [38][3360/3757] lr: 1.000e-02 eta: 17:49:58 time: 0.257 data_time: 0.015 memory: 6404 grad_norm: 5.5384 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9670 loss: 1.9670 2022/06/30 01:47:25 - mmengine - INFO - Epoch(train) [38][3380/3757] lr: 1.000e-02 eta: 17:49:52 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 6.8504 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2558 loss: 2.2558 2022/06/30 01:47:30 - mmengine - INFO - Epoch(train) [38][3400/3757] lr: 1.000e-02 eta: 17:49:46 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 5.7461 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.9712 loss: 1.9712 2022/06/30 01:47:36 - mmengine - INFO - Epoch(train) [38][3420/3757] lr: 1.000e-02 eta: 17:49:41 time: 0.275 data_time: 0.007 memory: 6404 grad_norm: 5.4972 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6293 loss: 1.6293 2022/06/30 01:47:41 - mmengine - INFO - Epoch(train) [38][3440/3757] lr: 1.000e-02 eta: 17:49:35 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.7574 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7001 loss: 1.7001 2022/06/30 01:47:46 - mmengine - INFO - Epoch(train) [38][3460/3757] lr: 1.000e-02 eta: 17:49:29 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 5.1829 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9943 loss: 1.9943 2022/06/30 01:47:52 - mmengine - INFO - Epoch(train) [38][3480/3757] lr: 1.000e-02 eta: 17:49:23 time: 0.295 data_time: 0.052 memory: 6404 grad_norm: 5.6726 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8373 loss: 1.8373 2022/06/30 01:47:57 - mmengine - INFO - Epoch(train) [38][3500/3757] lr: 1.000e-02 eta: 17:49:17 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 5.9838 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7934 loss: 1.7934 2022/06/30 01:48:02 - mmengine - INFO - Epoch(train) [38][3520/3757] lr: 1.000e-02 eta: 17:49:11 time: 0.248 data_time: 0.016 memory: 6404 grad_norm: 5.3152 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7655 loss: 1.7655 2022/06/30 01:48:08 - mmengine - INFO - Epoch(train) [38][3540/3757] lr: 1.000e-02 eta: 17:49:06 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.6147 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7569 loss: 1.7569 2022/06/30 01:48:14 - mmengine - INFO - Epoch(train) [38][3560/3757] lr: 1.000e-02 eta: 17:49:01 time: 0.590 data_time: 0.006 memory: 6404 grad_norm: 5.3750 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6484 loss: 1.6484 2022/06/30 01:48:19 - mmengine - INFO - Epoch(train) [38][3580/3757] lr: 1.000e-02 eta: 17:48:55 time: 0.252 data_time: 0.021 memory: 6404 grad_norm: 6.1632 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9516 loss: 1.9516 2022/06/30 01:48:24 - mmengine - INFO - Epoch(train) [38][3600/3757] lr: 1.000e-02 eta: 17:48:50 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 5.9876 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9878 loss: 1.9878 2022/06/30 01:48:30 - mmengine - INFO - Epoch(train) [38][3620/3757] lr: 1.000e-02 eta: 17:48:44 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.4759 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7008 loss: 1.7008 2022/06/30 01:48:36 - mmengine - INFO - Epoch(train) [38][3640/3757] lr: 1.000e-02 eta: 17:48:39 time: 0.247 data_time: 0.017 memory: 6404 grad_norm: 5.8765 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1370 loss: 2.1370 2022/06/30 01:48:41 - mmengine - INFO - Epoch(train) [38][3660/3757] lr: 1.000e-02 eta: 17:48:33 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 5.7221 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1229 loss: 2.1229 2022/06/30 01:48:46 - mmengine - INFO - Epoch(train) [38][3680/3757] lr: 1.000e-02 eta: 17:48:28 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.2710 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5952 loss: 1.5952 2022/06/30 01:48:52 - mmengine - INFO - Epoch(train) [38][3700/3757] lr: 1.000e-02 eta: 17:48:23 time: 0.400 data_time: 0.059 memory: 6404 grad_norm: 6.5296 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9406 loss: 1.9406 2022/06/30 01:48:57 - mmengine - INFO - Epoch(train) [38][3720/3757] lr: 1.000e-02 eta: 17:48:17 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.1003 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2222 loss: 2.2222 2022/06/30 01:49:03 - mmengine - INFO - Epoch(train) [38][3740/3757] lr: 1.000e-02 eta: 17:48:11 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 6.1272 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5967 loss: 1.5967 2022/06/30 01:49:07 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 01:49:14 - mmengine - INFO - Epoch(val) [38][20/310] eta: 0:01:26 time: 0.091 data_time: 0.013 memory: 6404 2022/06/30 01:49:20 - mmengine - INFO - Epoch(val) [38][40/310] eta: 0:01:18 time: 0.085 data_time: 0.009 memory: 1479 2022/06/30 01:49:24 - mmengine - INFO - Epoch(val) [38][60/310] eta: 0:00:23 time: 0.091 data_time: 0.010 memory: 1479 2022/06/30 01:49:30 - mmengine - INFO - Epoch(val) [38][80/310] eta: 0:01:22 time: 0.079 data_time: 0.005 memory: 1479 2022/06/30 01:49:36 - mmengine - INFO - Epoch(val) [38][100/310] eta: 0:01:00 time: 0.503 data_time: 0.421 memory: 1479 2022/06/30 01:49:40 - mmengine - INFO - Epoch(val) [38][120/310] eta: 0:00:25 time: 0.087 data_time: 0.006 memory: 1479 2022/06/30 01:49:46 - mmengine - INFO - Epoch(val) [38][140/310] eta: 0:00:51 time: 0.082 data_time: 0.006 memory: 1479 2022/06/30 01:49:52 - mmengine - INFO - Epoch(val) [38][160/310] eta: 0:00:48 time: 1.457 data_time: 1.374 memory: 1479 2022/06/30 01:49:57 - mmengine - INFO - Epoch(val) [38][180/310] eta: 0:00:38 time: 0.092 data_time: 0.009 memory: 1479 2022/06/30 01:50:03 - mmengine - INFO - Epoch(val) [38][200/310] eta: 0:00:34 time: 0.081 data_time: 0.005 memory: 1479 2022/06/30 01:50:08 - mmengine - INFO - Epoch(val) [38][220/310] eta: 0:00:23 time: 0.400 data_time: 0.327 memory: 1479 2022/06/30 01:50:12 - mmengine - INFO - Epoch(val) [38][240/310] eta: 0:00:12 time: 0.085 data_time: 0.006 memory: 1479 2022/06/30 01:50:18 - mmengine - INFO - Epoch(val) [38][260/310] eta: 0:00:15 time: 0.076 data_time: 0.005 memory: 1479 2022/06/30 01:50:24 - mmengine - INFO - Epoch(val) [38][280/310] eta: 0:00:07 time: 0.658 data_time: 0.575 memory: 1479 2022/06/30 01:50:28 - mmengine - INFO - Epoch(val) [38][300/310] eta: 0:00:02 time: 0.079 data_time: 0.006 memory: 1479 2022/06/30 01:50:32 - mmengine - INFO - Epoch(val) [38][310/310] acc/top1: 0.5844 acc/top5: 0.8166 acc/mean1: 0.5843 2022/06/30 01:50:41 - mmengine - INFO - Epoch(train) [39][20/3757] lr: 1.000e-02 eta: 17:48:03 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 7.2901 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.6070 loss: 1.6070 2022/06/30 01:50:47 - mmengine - INFO - Epoch(train) [39][40/3757] lr: 1.000e-02 eta: 17:47:57 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 5.6525 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7995 loss: 1.7995 2022/06/30 01:50:52 - mmengine - INFO - Epoch(train) [39][60/3757] lr: 1.000e-02 eta: 17:47:52 time: 0.264 data_time: 0.009 memory: 6404 grad_norm: 6.0893 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7117 loss: 1.7117 2022/06/30 01:50:58 - mmengine - INFO - Epoch(train) [39][80/3757] lr: 1.000e-02 eta: 17:47:46 time: 0.244 data_time: 0.009 memory: 6404 grad_norm: 6.3408 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6923 loss: 1.6923 2022/06/30 01:51:04 - mmengine - INFO - Epoch(train) [39][100/3757] lr: 1.000e-02 eta: 17:47:41 time: 0.352 data_time: 0.006 memory: 6404 grad_norm: 5.7527 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7666 loss: 1.7666 2022/06/30 01:51:09 - mmengine - INFO - Epoch(train) [39][120/3757] lr: 1.000e-02 eta: 17:47:36 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.4921 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7333 loss: 1.7333 2022/06/30 01:51:15 - mmengine - INFO - Epoch(train) [39][140/3757] lr: 1.000e-02 eta: 17:47:31 time: 0.250 data_time: 0.015 memory: 6404 grad_norm: 6.0037 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7217 loss: 1.7217 2022/06/30 01:51:20 - mmengine - INFO - Epoch(train) [39][160/3757] lr: 1.000e-02 eta: 17:47:25 time: 0.259 data_time: 0.006 memory: 6404 grad_norm: 5.4019 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3280 loss: 1.3280 2022/06/30 01:51:26 - mmengine - INFO - Epoch(train) [39][180/3757] lr: 1.000e-02 eta: 17:47:20 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.5151 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9782 loss: 1.9782 2022/06/30 01:51:31 - mmengine - INFO - Epoch(train) [39][200/3757] lr: 1.000e-02 eta: 17:47:14 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.2054 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.7895 loss: 1.7895 2022/06/30 01:51:37 - mmengine - INFO - Epoch(train) [39][220/3757] lr: 1.000e-02 eta: 17:47:09 time: 0.277 data_time: 0.006 memory: 6404 grad_norm: 6.7523 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7288 loss: 1.7288 2022/06/30 01:51:41 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 01:51:43 - mmengine - INFO - Epoch(train) [39][240/3757] lr: 1.000e-02 eta: 17:47:03 time: 0.247 data_time: 0.016 memory: 6404 grad_norm: 5.9474 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8734 loss: 1.8734 2022/06/30 01:51:48 - mmengine - INFO - Epoch(train) [39][260/3757] lr: 1.000e-02 eta: 17:46:58 time: 0.261 data_time: 0.015 memory: 6404 grad_norm: 6.3502 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2249 loss: 1.2249 2022/06/30 01:51:54 - mmengine - INFO - Epoch(train) [39][280/3757] lr: 1.000e-02 eta: 17:46:53 time: 0.274 data_time: 0.007 memory: 6404 grad_norm: 5.9659 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4941 loss: 1.4941 2022/06/30 01:51:59 - mmengine - INFO - Epoch(train) [39][300/3757] lr: 1.000e-02 eta: 17:46:47 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.5057 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6965 loss: 1.6965 2022/06/30 01:52:05 - mmengine - INFO - Epoch(train) [39][320/3757] lr: 1.000e-02 eta: 17:46:43 time: 0.956 data_time: 0.768 memory: 6404 grad_norm: 5.8945 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8815 loss: 1.8815 2022/06/30 01:52:11 - mmengine - INFO - Epoch(train) [39][340/3757] lr: 1.000e-02 eta: 17:46:37 time: 0.267 data_time: 0.006 memory: 6404 grad_norm: 6.2156 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0160 loss: 2.0160 2022/06/30 01:52:17 - mmengine - INFO - Epoch(train) [39][360/3757] lr: 1.000e-02 eta: 17:46:32 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 4.9371 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9916 loss: 1.9916 2022/06/30 01:52:22 - mmengine - INFO - Epoch(train) [39][380/3757] lr: 1.000e-02 eta: 17:46:26 time: 0.262 data_time: 0.072 memory: 6404 grad_norm: 5.7255 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1165 loss: 2.1165 2022/06/30 01:52:27 - mmengine - INFO - Epoch(train) [39][400/3757] lr: 1.000e-02 eta: 17:46:20 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 5.7529 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1954 loss: 2.1954 2022/06/30 01:52:32 - mmengine - INFO - Epoch(train) [39][420/3757] lr: 1.000e-02 eta: 17:46:14 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.6893 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3893 loss: 1.3893 2022/06/30 01:52:38 - mmengine - INFO - Epoch(train) [39][440/3757] lr: 1.000e-02 eta: 17:46:08 time: 0.243 data_time: 0.020 memory: 6404 grad_norm: 5.8193 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.7484 loss: 1.7484 2022/06/30 01:52:43 - mmengine - INFO - Epoch(train) [39][460/3757] lr: 1.000e-02 eta: 17:46:03 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 6.2469 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8913 loss: 1.8913 2022/06/30 01:52:48 - mmengine - INFO - Epoch(train) [39][480/3757] lr: 1.000e-02 eta: 17:45:57 time: 0.250 data_time: 0.022 memory: 6404 grad_norm: 5.5004 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6124 loss: 1.6124 2022/06/30 01:52:54 - mmengine - INFO - Epoch(train) [39][500/3757] lr: 1.000e-02 eta: 17:45:51 time: 0.260 data_time: 0.020 memory: 6404 grad_norm: 6.9971 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8920 loss: 1.8920 2022/06/30 01:52:59 - mmengine - INFO - Epoch(train) [39][520/3757] lr: 1.000e-02 eta: 17:45:45 time: 0.240 data_time: 0.013 memory: 6404 grad_norm: 5.3218 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6845 loss: 1.6845 2022/06/30 01:53:05 - mmengine - INFO - Epoch(train) [39][540/3757] lr: 1.000e-02 eta: 17:45:40 time: 0.242 data_time: 0.017 memory: 6404 grad_norm: 5.8154 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8775 loss: 1.8775 2022/06/30 01:53:10 - mmengine - INFO - Epoch(train) [39][560/3757] lr: 1.000e-02 eta: 17:45:34 time: 0.269 data_time: 0.021 memory: 6404 grad_norm: 5.9798 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9084 loss: 1.9084 2022/06/30 01:53:16 - mmengine - INFO - Epoch(train) [39][580/3757] lr: 1.000e-02 eta: 17:45:29 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 6.0587 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5367 loss: 2.5367 2022/06/30 01:53:21 - mmengine - INFO - Epoch(train) [39][600/3757] lr: 1.000e-02 eta: 17:45:23 time: 0.247 data_time: 0.033 memory: 6404 grad_norm: 6.6618 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1336 loss: 2.1336 2022/06/30 01:53:27 - mmengine - INFO - Epoch(train) [39][620/3757] lr: 1.000e-02 eta: 17:45:18 time: 0.549 data_time: 0.016 memory: 6404 grad_norm: 6.7279 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8744 loss: 1.8744 2022/06/30 01:53:32 - mmengine - INFO - Epoch(train) [39][640/3757] lr: 1.000e-02 eta: 17:45:12 time: 0.290 data_time: 0.050 memory: 6404 grad_norm: 5.6967 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6902 loss: 1.6902 2022/06/30 01:53:37 - mmengine - INFO - Epoch(train) [39][660/3757] lr: 1.000e-02 eta: 17:45:06 time: 0.252 data_time: 0.050 memory: 6404 grad_norm: 6.2257 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8793 loss: 1.8793 2022/06/30 01:53:43 - mmengine - INFO - Epoch(train) [39][680/3757] lr: 1.000e-02 eta: 17:45:01 time: 0.286 data_time: 0.012 memory: 6404 grad_norm: 5.6099 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8450 loss: 1.8450 2022/06/30 01:53:48 - mmengine - INFO - Epoch(train) [39][700/3757] lr: 1.000e-02 eta: 17:44:55 time: 0.245 data_time: 0.016 memory: 6404 grad_norm: 5.8363 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6996 loss: 1.6996 2022/06/30 01:53:55 - mmengine - INFO - Epoch(train) [39][720/3757] lr: 1.000e-02 eta: 17:44:51 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 5.9316 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8128 loss: 1.8128 2022/06/30 01:54:00 - mmengine - INFO - Epoch(train) [39][740/3757] lr: 1.000e-02 eta: 17:44:45 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 6.6522 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3375 loss: 1.3375 2022/06/30 01:54:05 - mmengine - INFO - Epoch(train) [39][760/3757] lr: 1.000e-02 eta: 17:44:39 time: 0.251 data_time: 0.019 memory: 6404 grad_norm: 6.3217 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1453 loss: 2.1453 2022/06/30 01:54:10 - mmengine - INFO - Epoch(train) [39][780/3757] lr: 1.000e-02 eta: 17:44:33 time: 0.240 data_time: 0.010 memory: 6404 grad_norm: 6.2939 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6722 loss: 1.6722 2022/06/30 01:54:16 - mmengine - INFO - Epoch(train) [39][800/3757] lr: 1.000e-02 eta: 17:44:27 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.6580 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4927 loss: 1.4927 2022/06/30 01:54:21 - mmengine - INFO - Epoch(train) [39][820/3757] lr: 1.000e-02 eta: 17:44:22 time: 0.245 data_time: 0.026 memory: 6404 grad_norm: 6.3063 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9790 loss: 1.9790 2022/06/30 01:54:27 - mmengine - INFO - Epoch(train) [39][840/3757] lr: 1.000e-02 eta: 17:44:17 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.8725 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7924 loss: 1.7924 2022/06/30 01:54:33 - mmengine - INFO - Epoch(train) [39][860/3757] lr: 1.000e-02 eta: 17:44:11 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 5.4566 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9678 loss: 1.9678 2022/06/30 01:54:38 - mmengine - INFO - Epoch(train) [39][880/3757] lr: 1.000e-02 eta: 17:44:05 time: 0.245 data_time: 0.024 memory: 6404 grad_norm: 5.6739 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6903 loss: 1.6903 2022/06/30 01:54:43 - mmengine - INFO - Epoch(train) [39][900/3757] lr: 1.000e-02 eta: 17:44:00 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.1356 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6094 loss: 1.6094 2022/06/30 01:54:48 - mmengine - INFO - Epoch(train) [39][920/3757] lr: 1.000e-02 eta: 17:43:54 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.6190 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6551 loss: 1.6551 2022/06/30 01:54:54 - mmengine - INFO - Epoch(train) [39][940/3757] lr: 1.000e-02 eta: 17:43:48 time: 0.374 data_time: 0.186 memory: 6404 grad_norm: 5.5673 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0927 loss: 2.0927 2022/06/30 01:55:00 - mmengine - INFO - Epoch(train) [39][960/3757] lr: 1.000e-02 eta: 17:43:43 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 6.0810 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7046 loss: 1.7046 2022/06/30 01:55:05 - mmengine - INFO - Epoch(train) [39][980/3757] lr: 1.000e-02 eta: 17:43:37 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 5.4311 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7577 loss: 1.7577 2022/06/30 01:55:11 - mmengine - INFO - Epoch(train) [39][1000/3757] lr: 1.000e-02 eta: 17:43:32 time: 0.310 data_time: 0.041 memory: 6404 grad_norm: 6.1100 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7299 loss: 1.7299 2022/06/30 01:55:17 - mmengine - INFO - Epoch(train) [39][1020/3757] lr: 1.000e-02 eta: 17:43:27 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.3106 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7636 loss: 1.7636 2022/06/30 01:55:22 - mmengine - INFO - Epoch(train) [39][1040/3757] lr: 1.000e-02 eta: 17:43:21 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 6.1746 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4705 loss: 1.4705 2022/06/30 01:55:27 - mmengine - INFO - Epoch(train) [39][1060/3757] lr: 1.000e-02 eta: 17:43:16 time: 0.265 data_time: 0.068 memory: 6404 grad_norm: 5.4279 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9110 loss: 1.9110 2022/06/30 01:55:33 - mmengine - INFO - Epoch(train) [39][1080/3757] lr: 1.000e-02 eta: 17:43:10 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 6.5855 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2399 loss: 2.2399 2022/06/30 01:55:38 - mmengine - INFO - Epoch(train) [39][1100/3757] lr: 1.000e-02 eta: 17:43:04 time: 0.243 data_time: 0.009 memory: 6404 grad_norm: 5.6274 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6360 loss: 1.6360 2022/06/30 01:55:44 - mmengine - INFO - Epoch(train) [39][1120/3757] lr: 1.000e-02 eta: 17:42:59 time: 0.249 data_time: 0.017 memory: 6404 grad_norm: 5.9381 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8655 loss: 1.8655 2022/06/30 01:55:49 - mmengine - INFO - Epoch(train) [39][1140/3757] lr: 1.000e-02 eta: 17:42:54 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 5.9192 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8085 loss: 1.8085 2022/06/30 01:55:55 - mmengine - INFO - Epoch(train) [39][1160/3757] lr: 1.000e-02 eta: 17:42:48 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 6.1150 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1744 loss: 2.1744 2022/06/30 01:56:00 - mmengine - INFO - Epoch(train) [39][1180/3757] lr: 1.000e-02 eta: 17:42:43 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 6.6290 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1711 loss: 2.1711 2022/06/30 01:56:06 - mmengine - INFO - Epoch(train) [39][1200/3757] lr: 1.000e-02 eta: 17:42:37 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 6.0956 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6024 loss: 1.6024 2022/06/30 01:56:11 - mmengine - INFO - Epoch(train) [39][1220/3757] lr: 1.000e-02 eta: 17:42:31 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 5.7422 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8331 loss: 1.8331 2022/06/30 01:56:15 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 01:56:17 - mmengine - INFO - Epoch(train) [39][1240/3757] lr: 1.000e-02 eta: 17:42:26 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.3175 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5570 loss: 1.5570 2022/06/30 01:56:22 - mmengine - INFO - Epoch(train) [39][1260/3757] lr: 1.000e-02 eta: 17:42:20 time: 0.379 data_time: 0.008 memory: 6404 grad_norm: 6.2551 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6827 loss: 1.6827 2022/06/30 01:56:28 - mmengine - INFO - Epoch(train) [39][1280/3757] lr: 1.000e-02 eta: 17:42:14 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.4134 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0294 loss: 2.0294 2022/06/30 01:56:33 - mmengine - INFO - Epoch(train) [39][1300/3757] lr: 1.000e-02 eta: 17:42:09 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.1440 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5227 loss: 1.5227 2022/06/30 01:56:39 - mmengine - INFO - Epoch(train) [39][1320/3757] lr: 1.000e-02 eta: 17:42:04 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.5458 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1012 loss: 2.1012 2022/06/30 01:56:44 - mmengine - INFO - Epoch(train) [39][1340/3757] lr: 1.000e-02 eta: 17:41:58 time: 0.248 data_time: 0.013 memory: 6404 grad_norm: 5.9283 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7484 loss: 1.7484 2022/06/30 01:56:50 - mmengine - INFO - Epoch(train) [39][1360/3757] lr: 1.000e-02 eta: 17:41:53 time: 0.275 data_time: 0.007 memory: 6404 grad_norm: 5.3352 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9323 loss: 1.9323 2022/06/30 01:56:55 - mmengine - INFO - Epoch(train) [39][1380/3757] lr: 1.000e-02 eta: 17:41:47 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.9003 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8720 loss: 1.8720 2022/06/30 01:57:00 - mmengine - INFO - Epoch(train) [39][1400/3757] lr: 1.000e-02 eta: 17:41:41 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.7670 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6072 loss: 1.6072 2022/06/30 01:57:06 - mmengine - INFO - Epoch(train) [39][1420/3757] lr: 1.000e-02 eta: 17:41:35 time: 0.276 data_time: 0.010 memory: 6404 grad_norm: 6.3437 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0463 loss: 2.0463 2022/06/30 01:57:11 - mmengine - INFO - Epoch(train) [39][1440/3757] lr: 1.000e-02 eta: 17:41:29 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 6.5446 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2681 loss: 2.2681 2022/06/30 01:57:16 - mmengine - INFO - Epoch(train) [39][1460/3757] lr: 1.000e-02 eta: 17:41:23 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 5.6775 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7729 loss: 1.7729 2022/06/30 01:57:22 - mmengine - INFO - Epoch(train) [39][1480/3757] lr: 1.000e-02 eta: 17:41:18 time: 0.488 data_time: 0.009 memory: 6404 grad_norm: 5.8399 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3818 loss: 1.3818 2022/06/30 01:57:27 - mmengine - INFO - Epoch(train) [39][1500/3757] lr: 1.000e-02 eta: 17:41:12 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.2926 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5341 loss: 1.5341 2022/06/30 01:57:34 - mmengine - INFO - Epoch(train) [39][1520/3757] lr: 1.000e-02 eta: 17:41:08 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.9474 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7240 loss: 1.7240 2022/06/30 01:57:39 - mmengine - INFO - Epoch(train) [39][1540/3757] lr: 1.000e-02 eta: 17:41:02 time: 0.264 data_time: 0.006 memory: 6404 grad_norm: 5.2517 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5840 loss: 1.5840 2022/06/30 01:57:44 - mmengine - INFO - Epoch(train) [39][1560/3757] lr: 1.000e-02 eta: 17:40:57 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.0472 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8355 loss: 1.8355 2022/06/30 01:57:50 - mmengine - INFO - Epoch(train) [39][1580/3757] lr: 1.000e-02 eta: 17:40:51 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 4.6353 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1890 loss: 2.1890 2022/06/30 01:57:55 - mmengine - INFO - Epoch(train) [39][1600/3757] lr: 1.000e-02 eta: 17:40:46 time: 0.266 data_time: 0.006 memory: 6404 grad_norm: 5.8820 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1904 loss: 2.1904 2022/06/30 01:58:01 - mmengine - INFO - Epoch(train) [39][1620/3757] lr: 1.000e-02 eta: 17:40:40 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 5.8402 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7193 loss: 1.7193 2022/06/30 01:58:07 - mmengine - INFO - Epoch(train) [39][1640/3757] lr: 1.000e-02 eta: 17:40:35 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 5.4316 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9572 loss: 1.9572 2022/06/30 01:58:12 - mmengine - INFO - Epoch(train) [39][1660/3757] lr: 1.000e-02 eta: 17:40:29 time: 0.273 data_time: 0.012 memory: 6404 grad_norm: 5.5451 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8435 loss: 1.8435 2022/06/30 01:58:17 - mmengine - INFO - Epoch(train) [39][1680/3757] lr: 1.000e-02 eta: 17:40:23 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 5.4208 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1488 loss: 2.1488 2022/06/30 01:58:22 - mmengine - INFO - Epoch(train) [39][1700/3757] lr: 1.000e-02 eta: 17:40:17 time: 0.516 data_time: 0.013 memory: 6404 grad_norm: 5.7457 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7254 loss: 1.7254 2022/06/30 01:58:28 - mmengine - INFO - Epoch(train) [39][1720/3757] lr: 1.000e-02 eta: 17:40:11 time: 0.260 data_time: 0.009 memory: 6404 grad_norm: 5.0644 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7118 loss: 1.7118 2022/06/30 01:58:33 - mmengine - INFO - Epoch(train) [39][1740/3757] lr: 1.000e-02 eta: 17:40:06 time: 0.264 data_time: 0.010 memory: 6404 grad_norm: 7.3124 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.0314 loss: 2.0314 2022/06/30 01:58:39 - mmengine - INFO - Epoch(train) [39][1760/3757] lr: 1.000e-02 eta: 17:40:00 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.4403 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6238 loss: 1.6238 2022/06/30 01:58:45 - mmengine - INFO - Epoch(train) [39][1780/3757] lr: 1.000e-02 eta: 17:39:55 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 5.7599 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6717 loss: 1.6717 2022/06/30 01:58:50 - mmengine - INFO - Epoch(train) [39][1800/3757] lr: 1.000e-02 eta: 17:39:50 time: 0.262 data_time: 0.014 memory: 6404 grad_norm: 5.9591 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7267 loss: 1.7267 2022/06/30 01:58:55 - mmengine - INFO - Epoch(train) [39][1820/3757] lr: 1.000e-02 eta: 17:39:44 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 6.2305 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9245 loss: 1.9245 2022/06/30 01:59:01 - mmengine - INFO - Epoch(train) [39][1840/3757] lr: 1.000e-02 eta: 17:39:39 time: 0.303 data_time: 0.006 memory: 6404 grad_norm: 5.6866 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8684 loss: 1.8684 2022/06/30 01:59:07 - mmengine - INFO - Epoch(train) [39][1860/3757] lr: 1.000e-02 eta: 17:39:34 time: 0.438 data_time: 0.028 memory: 6404 grad_norm: 5.6583 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8049 loss: 1.8049 2022/06/30 01:59:12 - mmengine - INFO - Epoch(train) [39][1880/3757] lr: 1.000e-02 eta: 17:39:28 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.8758 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7579 loss: 1.7579 2022/06/30 01:59:18 - mmengine - INFO - Epoch(train) [39][1900/3757] lr: 1.000e-02 eta: 17:39:23 time: 0.269 data_time: 0.010 memory: 6404 grad_norm: 6.0998 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7526 loss: 1.7526 2022/06/30 01:59:24 - mmengine - INFO - Epoch(train) [39][1920/3757] lr: 1.000e-02 eta: 17:39:18 time: 0.247 data_time: 0.026 memory: 6404 grad_norm: 6.0632 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0359 loss: 2.0359 2022/06/30 01:59:29 - mmengine - INFO - Epoch(train) [39][1940/3757] lr: 1.000e-02 eta: 17:39:12 time: 0.262 data_time: 0.006 memory: 6404 grad_norm: 6.0268 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1497 loss: 2.1497 2022/06/30 01:59:34 - mmengine - INFO - Epoch(train) [39][1960/3757] lr: 1.000e-02 eta: 17:39:06 time: 0.462 data_time: 0.010 memory: 6404 grad_norm: 5.4625 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8682 loss: 1.8682 2022/06/30 01:59:40 - mmengine - INFO - Epoch(train) [39][1980/3757] lr: 1.000e-02 eta: 17:39:01 time: 0.266 data_time: 0.020 memory: 6404 grad_norm: 5.4979 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0718 loss: 2.0718 2022/06/30 01:59:45 - mmengine - INFO - Epoch(train) [39][2000/3757] lr: 1.000e-02 eta: 17:38:55 time: 0.238 data_time: 0.034 memory: 6404 grad_norm: 6.4448 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3311 loss: 2.3311 2022/06/30 01:59:50 - mmengine - INFO - Epoch(train) [39][2020/3757] lr: 1.000e-02 eta: 17:38:49 time: 0.280 data_time: 0.006 memory: 6404 grad_norm: 6.5337 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8186 loss: 1.8186 2022/06/30 01:59:56 - mmengine - INFO - Epoch(train) [39][2040/3757] lr: 1.000e-02 eta: 17:38:43 time: 0.259 data_time: 0.022 memory: 6404 grad_norm: 4.8185 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9282 loss: 1.9282 2022/06/30 02:00:02 - mmengine - INFO - Epoch(train) [39][2060/3757] lr: 1.000e-02 eta: 17:38:38 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 6.0144 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8916 loss: 1.8916 2022/06/30 02:00:08 - mmengine - INFO - Epoch(train) [39][2080/3757] lr: 1.000e-02 eta: 17:38:34 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 6.4502 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9025 loss: 1.9025 2022/06/30 02:00:14 - mmengine - INFO - Epoch(train) [39][2100/3757] lr: 1.000e-02 eta: 17:38:29 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 5.6300 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1181 loss: 2.1181 2022/06/30 02:00:23 - mmengine - INFO - Epoch(train) [39][2120/3757] lr: 1.000e-02 eta: 17:38:29 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.2207 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9220 loss: 1.9220 2022/06/30 02:00:31 - mmengine - INFO - Epoch(train) [39][2140/3757] lr: 1.000e-02 eta: 17:38:27 time: 0.308 data_time: 0.009 memory: 6404 grad_norm: 5.0078 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8949 loss: 1.8949 2022/06/30 02:00:38 - mmengine - INFO - Epoch(train) [39][2160/3757] lr: 1.000e-02 eta: 17:38:25 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 5.7845 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9034 loss: 1.9034 2022/06/30 02:00:43 - mmengine - INFO - Epoch(train) [39][2180/3757] lr: 1.000e-02 eta: 17:38:19 time: 0.286 data_time: 0.007 memory: 6404 grad_norm: 5.6055 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8973 loss: 1.8973 2022/06/30 02:00:49 - mmengine - INFO - Epoch(train) [39][2200/3757] lr: 1.000e-02 eta: 17:38:13 time: 0.237 data_time: 0.015 memory: 6404 grad_norm: 5.9653 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7505 loss: 1.7505 2022/06/30 02:00:54 - mmengine - INFO - Epoch(train) [39][2220/3757] lr: 1.000e-02 eta: 17:38:08 time: 0.287 data_time: 0.010 memory: 6404 grad_norm: 5.8117 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6718 loss: 1.6718 2022/06/30 02:00:58 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 02:01:00 - mmengine - INFO - Epoch(train) [39][2240/3757] lr: 1.000e-02 eta: 17:38:02 time: 0.271 data_time: 0.012 memory: 6404 grad_norm: 5.4090 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9071 loss: 1.9071 2022/06/30 02:01:05 - mmengine - INFO - Epoch(train) [39][2260/3757] lr: 1.000e-02 eta: 17:37:56 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 6.3490 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1784 loss: 2.1784 2022/06/30 02:01:10 - mmengine - INFO - Epoch(train) [39][2280/3757] lr: 1.000e-02 eta: 17:37:50 time: 0.249 data_time: 0.014 memory: 6404 grad_norm: 5.2997 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8117 loss: 1.8117 2022/06/30 02:01:15 - mmengine - INFO - Epoch(train) [39][2300/3757] lr: 1.000e-02 eta: 17:37:44 time: 0.244 data_time: 0.014 memory: 6404 grad_norm: 5.4366 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1503 loss: 2.1503 2022/06/30 02:01:20 - mmengine - INFO - Epoch(train) [39][2320/3757] lr: 1.000e-02 eta: 17:37:38 time: 0.252 data_time: 0.024 memory: 6404 grad_norm: 5.8887 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6345 loss: 1.6345 2022/06/30 02:01:26 - mmengine - INFO - Epoch(train) [39][2340/3757] lr: 1.000e-02 eta: 17:37:32 time: 0.439 data_time: 0.006 memory: 6404 grad_norm: 5.6097 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2075 loss: 2.2075 2022/06/30 02:01:31 - mmengine - INFO - Epoch(train) [39][2360/3757] lr: 1.000e-02 eta: 17:37:27 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.6152 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1359 loss: 2.1359 2022/06/30 02:01:37 - mmengine - INFO - Epoch(train) [39][2380/3757] lr: 1.000e-02 eta: 17:37:22 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.9289 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5046 loss: 1.5046 2022/06/30 02:01:43 - mmengine - INFO - Epoch(train) [39][2400/3757] lr: 1.000e-02 eta: 17:37:17 time: 1.050 data_time: 0.010 memory: 6404 grad_norm: 6.5946 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0604 loss: 2.0604 2022/06/30 02:01:48 - mmengine - INFO - Epoch(train) [39][2420/3757] lr: 1.000e-02 eta: 17:37:11 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 5.8534 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2540 loss: 2.2540 2022/06/30 02:01:54 - mmengine - INFO - Epoch(train) [39][2440/3757] lr: 1.000e-02 eta: 17:37:06 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 5.1441 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6650 loss: 1.6650 2022/06/30 02:01:59 - mmengine - INFO - Epoch(train) [39][2460/3757] lr: 1.000e-02 eta: 17:37:00 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 5.2751 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1491 loss: 2.1491 2022/06/30 02:02:04 - mmengine - INFO - Epoch(train) [39][2480/3757] lr: 1.000e-02 eta: 17:36:53 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.6409 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6707 loss: 1.6707 2022/06/30 02:02:09 - mmengine - INFO - Epoch(train) [39][2500/3757] lr: 1.000e-02 eta: 17:36:47 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 6.8266 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6704 loss: 1.6704 2022/06/30 02:02:15 - mmengine - INFO - Epoch(train) [39][2520/3757] lr: 1.000e-02 eta: 17:36:42 time: 0.276 data_time: 0.007 memory: 6404 grad_norm: 5.4568 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3819 loss: 1.3819 2022/06/30 02:02:20 - mmengine - INFO - Epoch(train) [39][2540/3757] lr: 1.000e-02 eta: 17:36:36 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.8560 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9834 loss: 1.9834 2022/06/30 02:02:26 - mmengine - INFO - Epoch(train) [39][2560/3757] lr: 1.000e-02 eta: 17:36:31 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.1675 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9834 loss: 1.9834 2022/06/30 02:02:31 - mmengine - INFO - Epoch(train) [39][2580/3757] lr: 1.000e-02 eta: 17:36:25 time: 0.266 data_time: 0.008 memory: 6404 grad_norm: 5.9787 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5309 loss: 1.5309 2022/06/30 02:02:37 - mmengine - INFO - Epoch(train) [39][2600/3757] lr: 1.000e-02 eta: 17:36:19 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.6791 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1123 loss: 2.1123 2022/06/30 02:02:43 - mmengine - INFO - Epoch(train) [39][2620/3757] lr: 1.000e-02 eta: 17:36:15 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 5.4830 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8761 loss: 1.8761 2022/06/30 02:02:48 - mmengine - INFO - Epoch(train) [39][2640/3757] lr: 1.000e-02 eta: 17:36:09 time: 0.259 data_time: 0.006 memory: 6404 grad_norm: 5.8767 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4606 loss: 2.4606 2022/06/30 02:02:54 - mmengine - INFO - Epoch(train) [39][2660/3757] lr: 1.000e-02 eta: 17:36:04 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.6094 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5728 loss: 1.5728 2022/06/30 02:02:59 - mmengine - INFO - Epoch(train) [39][2680/3757] lr: 1.000e-02 eta: 17:35:58 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.5772 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4428 loss: 1.4428 2022/06/30 02:03:04 - mmengine - INFO - Epoch(train) [39][2700/3757] lr: 1.000e-02 eta: 17:35:52 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.0427 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2377 loss: 2.2377 2022/06/30 02:03:09 - mmengine - INFO - Epoch(train) [39][2720/3757] lr: 1.000e-02 eta: 17:35:46 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 6.0256 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5927 loss: 1.5927 2022/06/30 02:03:15 - mmengine - INFO - Epoch(train) [39][2740/3757] lr: 1.000e-02 eta: 17:35:41 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 5.5760 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8975 loss: 1.8975 2022/06/30 02:03:20 - mmengine - INFO - Epoch(train) [39][2760/3757] lr: 1.000e-02 eta: 17:35:35 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 5.1845 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8089 loss: 1.8089 2022/06/30 02:03:26 - mmengine - INFO - Epoch(train) [39][2780/3757] lr: 1.000e-02 eta: 17:35:29 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.5548 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8254 loss: 1.8254 2022/06/30 02:03:32 - mmengine - INFO - Epoch(train) [39][2800/3757] lr: 1.000e-02 eta: 17:35:24 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 7.4681 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6920 loss: 1.6920 2022/06/30 02:03:38 - mmengine - INFO - Epoch(train) [39][2820/3757] lr: 1.000e-02 eta: 17:35:19 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 6.2097 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6190 loss: 1.6190 2022/06/30 02:03:43 - mmengine - INFO - Epoch(train) [39][2840/3757] lr: 1.000e-02 eta: 17:35:13 time: 0.290 data_time: 0.008 memory: 6404 grad_norm: 5.0126 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5777 loss: 1.5777 2022/06/30 02:03:48 - mmengine - INFO - Epoch(train) [39][2860/3757] lr: 1.000e-02 eta: 17:35:08 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.1228 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9030 loss: 1.9030 2022/06/30 02:03:54 - mmengine - INFO - Epoch(train) [39][2880/3757] lr: 1.000e-02 eta: 17:35:03 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.7694 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8496 loss: 1.8496 2022/06/30 02:03:59 - mmengine - INFO - Epoch(train) [39][2900/3757] lr: 1.000e-02 eta: 17:34:57 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.1314 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6144 loss: 1.6144 2022/06/30 02:04:04 - mmengine - INFO - Epoch(train) [39][2920/3757] lr: 1.000e-02 eta: 17:34:51 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 6.1854 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3872 loss: 2.3872 2022/06/30 02:04:10 - mmengine - INFO - Epoch(train) [39][2940/3757] lr: 1.000e-02 eta: 17:34:46 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 6.0527 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6653 loss: 1.6653 2022/06/30 02:04:16 - mmengine - INFO - Epoch(train) [39][2960/3757] lr: 1.000e-02 eta: 17:34:41 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.3051 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7913 loss: 1.7913 2022/06/30 02:04:21 - mmengine - INFO - Epoch(train) [39][2980/3757] lr: 1.000e-02 eta: 17:34:34 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 5.2567 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5782 loss: 1.5782 2022/06/30 02:04:26 - mmengine - INFO - Epoch(train) [39][3000/3757] lr: 1.000e-02 eta: 17:34:28 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 5.8023 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9148 loss: 1.9148 2022/06/30 02:04:32 - mmengine - INFO - Epoch(train) [39][3020/3757] lr: 1.000e-02 eta: 17:34:23 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 5.9905 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0097 loss: 2.0097 2022/06/30 02:04:37 - mmengine - INFO - Epoch(train) [39][3040/3757] lr: 1.000e-02 eta: 17:34:17 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 5.6674 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7148 loss: 1.7148 2022/06/30 02:04:42 - mmengine - INFO - Epoch(train) [39][3060/3757] lr: 1.000e-02 eta: 17:34:11 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 5.4667 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9017 loss: 1.9017 2022/06/30 02:04:48 - mmengine - INFO - Epoch(train) [39][3080/3757] lr: 1.000e-02 eta: 17:34:06 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 6.0052 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8326 loss: 1.8326 2022/06/30 02:04:54 - mmengine - INFO - Epoch(train) [39][3100/3757] lr: 1.000e-02 eta: 17:34:01 time: 0.261 data_time: 0.018 memory: 6404 grad_norm: 6.2741 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6031 loss: 1.6031 2022/06/30 02:04:59 - mmengine - INFO - Epoch(train) [39][3120/3757] lr: 1.000e-02 eta: 17:33:55 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.8317 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7971 loss: 1.7971 2022/06/30 02:05:05 - mmengine - INFO - Epoch(train) [39][3140/3757] lr: 1.000e-02 eta: 17:33:50 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 5.4787 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6897 loss: 1.6897 2022/06/30 02:05:11 - mmengine - INFO - Epoch(train) [39][3160/3757] lr: 1.000e-02 eta: 17:33:45 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.0382 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7302 loss: 1.7302 2022/06/30 02:05:16 - mmengine - INFO - Epoch(train) [39][3180/3757] lr: 1.000e-02 eta: 17:33:40 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.0358 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5619 loss: 1.5619 2022/06/30 02:05:22 - mmengine - INFO - Epoch(train) [39][3200/3757] lr: 1.000e-02 eta: 17:33:34 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 5.6218 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8628 loss: 1.8628 2022/06/30 02:05:27 - mmengine - INFO - Epoch(train) [39][3220/3757] lr: 1.000e-02 eta: 17:33:28 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.2565 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9265 loss: 1.9265 2022/06/30 02:05:31 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 02:05:32 - mmengine - INFO - Epoch(train) [39][3240/3757] lr: 1.000e-02 eta: 17:33:22 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 6.0167 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9088 loss: 1.9088 2022/06/30 02:05:38 - mmengine - INFO - Epoch(train) [39][3260/3757] lr: 1.000e-02 eta: 17:33:16 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 6.0903 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8147 loss: 1.8147 2022/06/30 02:05:43 - mmengine - INFO - Epoch(train) [39][3280/3757] lr: 1.000e-02 eta: 17:33:10 time: 0.344 data_time: 0.013 memory: 6404 grad_norm: 5.5863 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0415 loss: 2.0415 2022/06/30 02:05:49 - mmengine - INFO - Epoch(train) [39][3300/3757] lr: 1.000e-02 eta: 17:33:05 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 6.5413 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0244 loss: 2.0244 2022/06/30 02:05:54 - mmengine - INFO - Epoch(train) [39][3320/3757] lr: 1.000e-02 eta: 17:33:00 time: 0.297 data_time: 0.009 memory: 6404 grad_norm: 5.6186 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2448 loss: 2.2448 2022/06/30 02:06:00 - mmengine - INFO - Epoch(train) [39][3340/3757] lr: 1.000e-02 eta: 17:32:55 time: 0.256 data_time: 0.016 memory: 6404 grad_norm: 5.5932 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9973 loss: 1.9973 2022/06/30 02:06:05 - mmengine - INFO - Epoch(train) [39][3360/3757] lr: 1.000e-02 eta: 17:32:49 time: 0.246 data_time: 0.012 memory: 6404 grad_norm: 6.4553 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6587 loss: 1.6587 2022/06/30 02:06:11 - mmengine - INFO - Epoch(train) [39][3380/3757] lr: 1.000e-02 eta: 17:32:43 time: 0.247 data_time: 0.015 memory: 6404 grad_norm: 5.2344 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6889 loss: 1.6889 2022/06/30 02:06:16 - mmengine - INFO - Epoch(train) [39][3400/3757] lr: 1.000e-02 eta: 17:32:38 time: 0.265 data_time: 0.006 memory: 6404 grad_norm: 4.8795 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8404 loss: 1.8404 2022/06/30 02:06:22 - mmengine - INFO - Epoch(train) [39][3420/3757] lr: 1.000e-02 eta: 17:32:33 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.0657 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9332 loss: 1.9332 2022/06/30 02:06:27 - mmengine - INFO - Epoch(train) [39][3440/3757] lr: 1.000e-02 eta: 17:32:27 time: 0.261 data_time: 0.062 memory: 6404 grad_norm: 6.1786 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2287 loss: 2.2287 2022/06/30 02:06:33 - mmengine - INFO - Epoch(train) [39][3460/3757] lr: 1.000e-02 eta: 17:32:21 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.6249 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6748 loss: 1.6748 2022/06/30 02:06:38 - mmengine - INFO - Epoch(train) [39][3480/3757] lr: 1.000e-02 eta: 17:32:16 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 4.8837 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2144 loss: 2.2144 2022/06/30 02:06:44 - mmengine - INFO - Epoch(train) [39][3500/3757] lr: 1.000e-02 eta: 17:32:10 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 5.8040 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8563 loss: 1.8563 2022/06/30 02:06:49 - mmengine - INFO - Epoch(train) [39][3520/3757] lr: 1.000e-02 eta: 17:32:05 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 5.3441 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6690 loss: 1.6690 2022/06/30 02:06:55 - mmengine - INFO - Epoch(train) [39][3540/3757] lr: 1.000e-02 eta: 17:31:59 time: 0.462 data_time: 0.007 memory: 6404 grad_norm: 4.9472 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8362 loss: 1.8362 2022/06/30 02:07:00 - mmengine - INFO - Epoch(train) [39][3560/3757] lr: 1.000e-02 eta: 17:31:53 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.7879 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9461 loss: 1.9461 2022/06/30 02:07:06 - mmengine - INFO - Epoch(train) [39][3580/3757] lr: 1.000e-02 eta: 17:31:48 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 6.0723 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5399 loss: 1.5399 2022/06/30 02:07:11 - mmengine - INFO - Epoch(train) [39][3600/3757] lr: 1.000e-02 eta: 17:31:42 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 6.3495 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4669 loss: 1.4669 2022/06/30 02:07:17 - mmengine - INFO - Epoch(train) [39][3620/3757] lr: 1.000e-02 eta: 17:31:37 time: 0.279 data_time: 0.009 memory: 6404 grad_norm: 6.0106 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8674 loss: 1.8674 2022/06/30 02:07:22 - mmengine - INFO - Epoch(train) [39][3640/3757] lr: 1.000e-02 eta: 17:31:31 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.3133 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3116 loss: 2.3116 2022/06/30 02:07:29 - mmengine - INFO - Epoch(train) [39][3660/3757] lr: 1.000e-02 eta: 17:31:27 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 5.0634 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9998 loss: 1.9998 2022/06/30 02:07:34 - mmengine - INFO - Epoch(train) [39][3680/3757] lr: 1.000e-02 eta: 17:31:21 time: 0.277 data_time: 0.018 memory: 6404 grad_norm: 4.9533 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8194 loss: 1.8194 2022/06/30 02:07:39 - mmengine - INFO - Epoch(train) [39][3700/3757] lr: 1.000e-02 eta: 17:31:15 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.5100 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9665 loss: 1.9665 2022/06/30 02:07:44 - mmengine - INFO - Epoch(train) [39][3720/3757] lr: 1.000e-02 eta: 17:31:09 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.4856 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9404 loss: 1.9404 2022/06/30 02:07:49 - mmengine - INFO - Epoch(train) [39][3740/3757] lr: 1.000e-02 eta: 17:31:03 time: 0.248 data_time: 0.017 memory: 6404 grad_norm: 5.6996 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0586 loss: 2.0586 2022/06/30 02:07:53 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 02:08:01 - mmengine - INFO - Epoch(val) [39][20/310] eta: 0:01:30 time: 0.107 data_time: 0.015 memory: 6404 2022/06/30 02:08:07 - mmengine - INFO - Epoch(val) [39][40/310] eta: 0:01:16 time: 0.081 data_time: 0.007 memory: 1479 2022/06/30 02:08:10 - mmengine - INFO - Epoch(val) [39][60/310] eta: 0:00:23 time: 0.106 data_time: 0.010 memory: 1479 2022/06/30 02:08:16 - mmengine - INFO - Epoch(val) [39][80/310] eta: 0:01:08 time: 0.093 data_time: 0.006 memory: 1479 2022/06/30 02:08:23 - mmengine - INFO - Epoch(val) [39][100/310] eta: 0:01:03 time: 0.142 data_time: 0.051 memory: 1479 2022/06/30 02:08:26 - mmengine - INFO - Epoch(val) [39][120/310] eta: 0:00:16 time: 0.093 data_time: 0.005 memory: 1479 2022/06/30 02:08:33 - mmengine - INFO - Epoch(val) [39][140/310] eta: 0:00:54 time: 0.098 data_time: 0.013 memory: 1479 2022/06/30 02:08:39 - mmengine - INFO - Epoch(val) [39][160/310] eta: 0:00:45 time: 1.353 data_time: 1.278 memory: 1479 2022/06/30 02:08:43 - mmengine - INFO - Epoch(val) [39][180/310] eta: 0:00:32 time: 0.084 data_time: 0.007 memory: 1479 2022/06/30 02:08:49 - mmengine - INFO - Epoch(val) [39][200/310] eta: 0:00:33 time: 0.080 data_time: 0.005 memory: 1479 2022/06/30 02:08:55 - mmengine - INFO - Epoch(val) [39][220/310] eta: 0:00:26 time: 0.886 data_time: 0.794 memory: 1479 2022/06/30 02:08:59 - mmengine - INFO - Epoch(val) [39][240/310] eta: 0:00:18 time: 0.081 data_time: 0.007 memory: 1479 2022/06/30 02:09:05 - mmengine - INFO - Epoch(val) [39][260/310] eta: 0:00:16 time: 0.080 data_time: 0.007 memory: 1479 2022/06/30 02:09:11 - mmengine - INFO - Epoch(val) [39][280/310] eta: 0:00:08 time: 1.159 data_time: 1.071 memory: 1479 2022/06/30 02:09:15 - mmengine - INFO - Epoch(val) [39][300/310] eta: 0:00:02 time: 0.081 data_time: 0.005 memory: 1479 2022/06/30 02:09:17 - mmengine - INFO - Epoch(val) [39][310/310] acc/top1: 0.5789 acc/top5: 0.8134 acc/mean1: 0.5788 2022/06/30 02:09:26 - mmengine - INFO - Epoch(train) [40][20/3757] lr: 1.000e-02 eta: 17:30:54 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.4924 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8697 loss: 1.8697 2022/06/30 02:09:32 - mmengine - INFO - Epoch(train) [40][40/3757] lr: 1.000e-02 eta: 17:30:50 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.6050 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4868 loss: 1.4868 2022/06/30 02:09:38 - mmengine - INFO - Epoch(train) [40][60/3757] lr: 1.000e-02 eta: 17:30:44 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 5.7741 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4938 loss: 1.4938 2022/06/30 02:09:43 - mmengine - INFO - Epoch(train) [40][80/3757] lr: 1.000e-02 eta: 17:30:38 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.5047 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6893 loss: 1.6893 2022/06/30 02:09:49 - mmengine - INFO - Epoch(train) [40][100/3757] lr: 1.000e-02 eta: 17:30:34 time: 0.279 data_time: 0.014 memory: 6404 grad_norm: 4.8672 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1316 loss: 2.1316 2022/06/30 02:09:55 - mmengine - INFO - Epoch(train) [40][120/3757] lr: 1.000e-02 eta: 17:30:28 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 4.9337 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7324 loss: 1.7324 2022/06/30 02:10:00 - mmengine - INFO - Epoch(train) [40][140/3757] lr: 1.000e-02 eta: 17:30:23 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.1569 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7718 loss: 1.7718 2022/06/30 02:10:05 - mmengine - INFO - Epoch(train) [40][160/3757] lr: 1.000e-02 eta: 17:30:17 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 5.2472 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1598 loss: 1.1598 2022/06/30 02:10:11 - mmengine - INFO - Epoch(train) [40][180/3757] lr: 1.000e-02 eta: 17:30:11 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 5.5812 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4200 loss: 1.4200 2022/06/30 02:10:16 - mmengine - INFO - Epoch(train) [40][200/3757] lr: 1.000e-02 eta: 17:30:06 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.1258 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5633 loss: 1.5633 2022/06/30 02:10:22 - mmengine - INFO - Epoch(train) [40][220/3757] lr: 1.000e-02 eta: 17:30:01 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 5.7558 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5712 loss: 1.5712 2022/06/30 02:10:28 - mmengine - INFO - Epoch(train) [40][240/3757] lr: 1.000e-02 eta: 17:29:55 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 5.7420 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9025 loss: 1.9025 2022/06/30 02:10:33 - mmengine - INFO - Epoch(train) [40][260/3757] lr: 1.000e-02 eta: 17:29:49 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 5.0013 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3747 loss: 1.3747 2022/06/30 02:10:38 - mmengine - INFO - Epoch(train) [40][280/3757] lr: 1.000e-02 eta: 17:29:44 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 5.1040 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8369 loss: 1.8369 2022/06/30 02:10:44 - mmengine - INFO - Epoch(train) [40][300/3757] lr: 1.000e-02 eta: 17:29:39 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.2647 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5183 loss: 1.5183 2022/06/30 02:10:50 - mmengine - INFO - Epoch(train) [40][320/3757] lr: 1.000e-02 eta: 17:29:33 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 6.0545 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6109 loss: 1.6109 2022/06/30 02:10:55 - mmengine - INFO - Epoch(train) [40][340/3757] lr: 1.000e-02 eta: 17:29:28 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 4.9902 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4617 loss: 1.4617 2022/06/30 02:11:01 - mmengine - INFO - Epoch(train) [40][360/3757] lr: 1.000e-02 eta: 17:29:22 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.6550 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7272 loss: 1.7272 2022/06/30 02:11:06 - mmengine - INFO - Epoch(train) [40][380/3757] lr: 1.000e-02 eta: 17:29:16 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.0828 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4334 loss: 1.4334 2022/06/30 02:11:11 - mmengine - INFO - Epoch(train) [40][400/3757] lr: 1.000e-02 eta: 17:29:10 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 5.2169 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7214 loss: 1.7214 2022/06/30 02:11:16 - mmengine - INFO - Epoch(train) [40][420/3757] lr: 1.000e-02 eta: 17:29:04 time: 0.245 data_time: 0.055 memory: 6404 grad_norm: 5.3023 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0579 loss: 2.0579 2022/06/30 02:11:22 - mmengine - INFO - Epoch(train) [40][440/3757] lr: 1.000e-02 eta: 17:28:58 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.9182 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1718 loss: 2.1718 2022/06/30 02:11:27 - mmengine - INFO - Epoch(train) [40][460/3757] lr: 1.000e-02 eta: 17:28:53 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 6.2406 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5149 loss: 1.5149 2022/06/30 02:11:32 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 02:11:32 - mmengine - INFO - Epoch(train) [40][480/3757] lr: 1.000e-02 eta: 17:28:47 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.2877 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7663 loss: 1.7663 2022/06/30 02:11:38 - mmengine - INFO - Epoch(train) [40][500/3757] lr: 1.000e-02 eta: 17:28:41 time: 0.278 data_time: 0.008 memory: 6404 grad_norm: 5.4113 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7952 loss: 1.7952 2022/06/30 02:11:43 - mmengine - INFO - Epoch(train) [40][520/3757] lr: 1.000e-02 eta: 17:28:36 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 5.4007 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0193 loss: 2.0193 2022/06/30 02:11:49 - mmengine - INFO - Epoch(train) [40][540/3757] lr: 1.000e-02 eta: 17:28:30 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.3012 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8746 loss: 1.8746 2022/06/30 02:11:54 - mmengine - INFO - Epoch(train) [40][560/3757] lr: 1.000e-02 eta: 17:28:25 time: 0.251 data_time: 0.014 memory: 6404 grad_norm: 6.0009 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8737 loss: 1.8737 2022/06/30 02:11:59 - mmengine - INFO - Epoch(train) [40][580/3757] lr: 1.000e-02 eta: 17:28:19 time: 0.249 data_time: 0.035 memory: 6404 grad_norm: 6.1225 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3120 loss: 1.3120 2022/06/30 02:12:05 - mmengine - INFO - Epoch(train) [40][600/3757] lr: 1.000e-02 eta: 17:28:12 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 6.0688 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0284 loss: 2.0284 2022/06/30 02:12:10 - mmengine - INFO - Epoch(train) [40][620/3757] lr: 1.000e-02 eta: 17:28:07 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 4.6655 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8862 loss: 1.8862 2022/06/30 02:12:16 - mmengine - INFO - Epoch(train) [40][640/3757] lr: 1.000e-02 eta: 17:28:02 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 6.1436 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0228 loss: 2.0228 2022/06/30 02:12:21 - mmengine - INFO - Epoch(train) [40][660/3757] lr: 1.000e-02 eta: 17:27:56 time: 0.269 data_time: 0.010 memory: 6404 grad_norm: 6.2621 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5215 loss: 1.5215 2022/06/30 02:12:27 - mmengine - INFO - Epoch(train) [40][680/3757] lr: 1.000e-02 eta: 17:27:51 time: 0.241 data_time: 0.010 memory: 6404 grad_norm: 5.3382 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4366 loss: 2.4366 2022/06/30 02:12:32 - mmengine - INFO - Epoch(train) [40][700/3757] lr: 1.000e-02 eta: 17:27:45 time: 0.240 data_time: 0.008 memory: 6404 grad_norm: 6.5558 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1579 loss: 2.1579 2022/06/30 02:12:38 - mmengine - INFO - Epoch(train) [40][720/3757] lr: 1.000e-02 eta: 17:27:40 time: 0.252 data_time: 0.022 memory: 6404 grad_norm: 5.5005 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4457 loss: 1.4457 2022/06/30 02:12:43 - mmengine - INFO - Epoch(train) [40][740/3757] lr: 1.000e-02 eta: 17:27:34 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 5.2306 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8491 loss: 1.8491 2022/06/30 02:12:48 - mmengine - INFO - Epoch(train) [40][760/3757] lr: 1.000e-02 eta: 17:27:28 time: 0.259 data_time: 0.012 memory: 6404 grad_norm: 6.4169 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9745 loss: 1.9745 2022/06/30 02:12:54 - mmengine - INFO - Epoch(train) [40][780/3757] lr: 1.000e-02 eta: 17:27:22 time: 0.357 data_time: 0.037 memory: 6404 grad_norm: 4.8790 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0918 loss: 2.0918 2022/06/30 02:13:00 - mmengine - INFO - Epoch(train) [40][800/3757] lr: 1.000e-02 eta: 17:27:17 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.9079 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.7219 loss: 1.7219 2022/06/30 02:13:05 - mmengine - INFO - Epoch(train) [40][820/3757] lr: 1.000e-02 eta: 17:27:12 time: 0.250 data_time: 0.014 memory: 6404 grad_norm: 5.5672 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7796 loss: 1.7796 2022/06/30 02:13:10 - mmengine - INFO - Epoch(train) [40][840/3757] lr: 1.000e-02 eta: 17:27:06 time: 0.258 data_time: 0.045 memory: 6404 grad_norm: 6.5906 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8349 loss: 1.8349 2022/06/30 02:13:16 - mmengine - INFO - Epoch(train) [40][860/3757] lr: 1.000e-02 eta: 17:27:00 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.6103 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1480 loss: 2.1480 2022/06/30 02:13:21 - mmengine - INFO - Epoch(train) [40][880/3757] lr: 1.000e-02 eta: 17:26:55 time: 0.251 data_time: 0.019 memory: 6404 grad_norm: 5.7471 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9232 loss: 1.9232 2022/06/30 02:13:26 - mmengine - INFO - Epoch(train) [40][900/3757] lr: 1.000e-02 eta: 17:26:49 time: 0.244 data_time: 0.023 memory: 6404 grad_norm: 6.2660 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8032 loss: 1.8032 2022/06/30 02:13:32 - mmengine - INFO - Epoch(train) [40][920/3757] lr: 1.000e-02 eta: 17:26:43 time: 0.264 data_time: 0.010 memory: 6404 grad_norm: 6.1072 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9632 loss: 1.9632 2022/06/30 02:13:39 - mmengine - INFO - Epoch(train) [40][940/3757] lr: 1.000e-02 eta: 17:26:40 time: 0.264 data_time: 0.012 memory: 6404 grad_norm: 5.3597 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8637 loss: 1.8637 2022/06/30 02:13:44 - mmengine - INFO - Epoch(train) [40][960/3757] lr: 1.000e-02 eta: 17:26:34 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.3995 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2582 loss: 1.2582 2022/06/30 02:13:49 - mmengine - INFO - Epoch(train) [40][980/3757] lr: 1.000e-02 eta: 17:26:27 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 5.9876 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9455 loss: 1.9455 2022/06/30 02:13:55 - mmengine - INFO - Epoch(train) [40][1000/3757] lr: 1.000e-02 eta: 17:26:23 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.4325 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5978 loss: 1.5978 2022/06/30 02:14:00 - mmengine - INFO - Epoch(train) [40][1020/3757] lr: 1.000e-02 eta: 17:26:17 time: 0.251 data_time: 0.016 memory: 6404 grad_norm: 6.0760 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9216 loss: 1.9216 2022/06/30 02:14:05 - mmengine - INFO - Epoch(train) [40][1040/3757] lr: 1.000e-02 eta: 17:26:10 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 6.2773 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9647 loss: 1.9647 2022/06/30 02:14:10 - mmengine - INFO - Epoch(train) [40][1060/3757] lr: 1.000e-02 eta: 17:26:05 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.0072 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0667 loss: 2.0667 2022/06/30 02:14:16 - mmengine - INFO - Epoch(train) [40][1080/3757] lr: 1.000e-02 eta: 17:25:59 time: 0.254 data_time: 0.021 memory: 6404 grad_norm: 4.8318 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6721 loss: 1.6721 2022/06/30 02:14:21 - mmengine - INFO - Epoch(train) [40][1100/3757] lr: 1.000e-02 eta: 17:25:53 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 5.1571 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5583 loss: 1.5583 2022/06/30 02:14:27 - mmengine - INFO - Epoch(train) [40][1120/3757] lr: 1.000e-02 eta: 17:25:47 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 4.2907 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5793 loss: 1.5793 2022/06/30 02:14:32 - mmengine - INFO - Epoch(train) [40][1140/3757] lr: 1.000e-02 eta: 17:25:42 time: 0.495 data_time: 0.306 memory: 6404 grad_norm: 5.7354 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7439 loss: 1.7439 2022/06/30 02:14:37 - mmengine - INFO - Epoch(train) [40][1160/3757] lr: 1.000e-02 eta: 17:25:36 time: 0.252 data_time: 0.019 memory: 6404 grad_norm: 4.8679 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6761 loss: 1.6761 2022/06/30 02:14:44 - mmengine - INFO - Epoch(train) [40][1180/3757] lr: 1.000e-02 eta: 17:25:32 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 5.1497 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8330 loss: 1.8330 2022/06/30 02:14:50 - mmengine - INFO - Epoch(train) [40][1200/3757] lr: 1.000e-02 eta: 17:25:27 time: 0.272 data_time: 0.083 memory: 6404 grad_norm: 5.8027 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7457 loss: 1.7457 2022/06/30 02:14:55 - mmengine - INFO - Epoch(train) [40][1220/3757] lr: 1.000e-02 eta: 17:25:21 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 5.3503 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0288 loss: 2.0288 2022/06/30 02:15:01 - mmengine - INFO - Epoch(train) [40][1240/3757] lr: 1.000e-02 eta: 17:25:16 time: 0.277 data_time: 0.015 memory: 6404 grad_norm: 6.4640 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8333 loss: 1.8333 2022/06/30 02:15:06 - mmengine - INFO - Epoch(train) [40][1260/3757] lr: 1.000e-02 eta: 17:25:10 time: 0.245 data_time: 0.032 memory: 6404 grad_norm: 5.2311 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6065 loss: 1.6065 2022/06/30 02:15:11 - mmengine - INFO - Epoch(train) [40][1280/3757] lr: 1.000e-02 eta: 17:25:04 time: 0.255 data_time: 0.015 memory: 6404 grad_norm: 6.1784 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6413 loss: 1.6413 2022/06/30 02:15:18 - mmengine - INFO - Epoch(train) [40][1300/3757] lr: 1.000e-02 eta: 17:25:00 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.4087 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8308 loss: 1.8308 2022/06/30 02:15:23 - mmengine - INFO - Epoch(train) [40][1320/3757] lr: 1.000e-02 eta: 17:24:54 time: 0.244 data_time: 0.036 memory: 6404 grad_norm: 5.9946 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1009 loss: 2.1009 2022/06/30 02:15:28 - mmengine - INFO - Epoch(train) [40][1340/3757] lr: 1.000e-02 eta: 17:24:48 time: 0.248 data_time: 0.017 memory: 6404 grad_norm: 5.9232 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8203 loss: 1.8203 2022/06/30 02:15:33 - mmengine - INFO - Epoch(train) [40][1360/3757] lr: 1.000e-02 eta: 17:24:42 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.9456 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0265 loss: 2.0265 2022/06/30 02:15:38 - mmengine - INFO - Epoch(train) [40][1380/3757] lr: 1.000e-02 eta: 17:24:36 time: 0.259 data_time: 0.028 memory: 6404 grad_norm: 5.2797 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6604 loss: 1.6604 2022/06/30 02:15:44 - mmengine - INFO - Epoch(train) [40][1400/3757] lr: 1.000e-02 eta: 17:24:31 time: 0.292 data_time: 0.020 memory: 6404 grad_norm: 5.7546 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7654 loss: 1.7654 2022/06/30 02:15:50 - mmengine - INFO - Epoch(train) [40][1420/3757] lr: 1.000e-02 eta: 17:24:26 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 6.8610 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0502 loss: 2.0502 2022/06/30 02:15:56 - mmengine - INFO - Epoch(train) [40][1440/3757] lr: 1.000e-02 eta: 17:24:21 time: 0.304 data_time: 0.074 memory: 6404 grad_norm: 5.7459 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2361 loss: 2.2361 2022/06/30 02:16:01 - mmengine - INFO - Epoch(train) [40][1460/3757] lr: 1.000e-02 eta: 17:24:15 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 4.9977 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7618 loss: 1.7618 2022/06/30 02:16:05 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 02:16:06 - mmengine - INFO - Epoch(train) [40][1480/3757] lr: 1.000e-02 eta: 17:24:09 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 5.5720 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5283 loss: 1.5283 2022/06/30 02:16:12 - mmengine - INFO - Epoch(train) [40][1500/3757] lr: 1.000e-02 eta: 17:24:03 time: 0.248 data_time: 0.020 memory: 6404 grad_norm: 6.2608 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8779 loss: 1.8779 2022/06/30 02:16:17 - mmengine - INFO - Epoch(train) [40][1520/3757] lr: 1.000e-02 eta: 17:23:58 time: 0.237 data_time: 0.007 memory: 6404 grad_norm: 5.5791 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7265 loss: 1.7265 2022/06/30 02:16:23 - mmengine - INFO - Epoch(train) [40][1540/3757] lr: 1.000e-02 eta: 17:23:53 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.2916 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4992 loss: 1.4992 2022/06/30 02:16:28 - mmengine - INFO - Epoch(train) [40][1560/3757] lr: 1.000e-02 eta: 17:23:47 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.3947 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0719 loss: 2.0719 2022/06/30 02:16:34 - mmengine - INFO - Epoch(train) [40][1580/3757] lr: 1.000e-02 eta: 17:23:42 time: 0.400 data_time: 0.010 memory: 6404 grad_norm: 7.2857 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6387 loss: 1.6387 2022/06/30 02:16:39 - mmengine - INFO - Epoch(train) [40][1600/3757] lr: 1.000e-02 eta: 17:23:36 time: 0.267 data_time: 0.006 memory: 6404 grad_norm: 5.9572 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8743 loss: 1.8743 2022/06/30 02:16:45 - mmengine - INFO - Epoch(train) [40][1620/3757] lr: 1.000e-02 eta: 17:23:30 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.8864 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0646 loss: 2.0646 2022/06/30 02:16:50 - mmengine - INFO - Epoch(train) [40][1640/3757] lr: 1.000e-02 eta: 17:23:24 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 5.4891 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6847 loss: 1.6847 2022/06/30 02:16:56 - mmengine - INFO - Epoch(train) [40][1660/3757] lr: 1.000e-02 eta: 17:23:19 time: 0.273 data_time: 0.007 memory: 6404 grad_norm: 7.0499 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7245 loss: 1.7245 2022/06/30 02:17:01 - mmengine - INFO - Epoch(train) [40][1680/3757] lr: 1.000e-02 eta: 17:23:13 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.7273 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9019 loss: 1.9019 2022/06/30 02:17:06 - mmengine - INFO - Epoch(train) [40][1700/3757] lr: 1.000e-02 eta: 17:23:08 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.6780 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9293 loss: 1.9293 2022/06/30 02:17:12 - mmengine - INFO - Epoch(train) [40][1720/3757] lr: 1.000e-02 eta: 17:23:03 time: 0.267 data_time: 0.017 memory: 6404 grad_norm: 6.0367 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9260 loss: 1.9260 2022/06/30 02:17:18 - mmengine - INFO - Epoch(train) [40][1740/3757] lr: 1.000e-02 eta: 17:22:57 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.7543 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3846 loss: 1.3846 2022/06/30 02:17:23 - mmengine - INFO - Epoch(train) [40][1760/3757] lr: 1.000e-02 eta: 17:22:51 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 4.9396 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4248 loss: 1.4248 2022/06/30 02:17:29 - mmengine - INFO - Epoch(train) [40][1780/3757] lr: 1.000e-02 eta: 17:22:46 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 5.9857 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2761 loss: 2.2761 2022/06/30 02:17:34 - mmengine - INFO - Epoch(train) [40][1800/3757] lr: 1.000e-02 eta: 17:22:40 time: 0.265 data_time: 0.016 memory: 6404 grad_norm: 5.7941 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0049 loss: 2.0049 2022/06/30 02:17:39 - mmengine - INFO - Epoch(train) [40][1820/3757] lr: 1.000e-02 eta: 17:22:34 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 4.5860 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0979 loss: 2.0979 2022/06/30 02:17:45 - mmengine - INFO - Epoch(train) [40][1840/3757] lr: 1.000e-02 eta: 17:22:29 time: 0.243 data_time: 0.016 memory: 6404 grad_norm: 6.4409 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0393 loss: 2.0393 2022/06/30 02:17:51 - mmengine - INFO - Epoch(train) [40][1860/3757] lr: 1.000e-02 eta: 17:22:24 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 5.3401 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5487 loss: 1.5487 2022/06/30 02:17:56 - mmengine - INFO - Epoch(train) [40][1880/3757] lr: 1.000e-02 eta: 17:22:18 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 5.6740 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8650 loss: 1.8650 2022/06/30 02:18:01 - mmengine - INFO - Epoch(train) [40][1900/3757] lr: 1.000e-02 eta: 17:22:12 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 5.4925 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9324 loss: 1.9324 2022/06/30 02:18:06 - mmengine - INFO - Epoch(train) [40][1920/3757] lr: 1.000e-02 eta: 17:22:06 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 6.5781 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0418 loss: 2.0418 2022/06/30 02:18:11 - mmengine - INFO - Epoch(train) [40][1940/3757] lr: 1.000e-02 eta: 17:22:00 time: 0.252 data_time: 0.019 memory: 6404 grad_norm: 6.3496 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8015 loss: 1.8015 2022/06/30 02:18:17 - mmengine - INFO - Epoch(train) [40][1960/3757] lr: 1.000e-02 eta: 17:21:54 time: 0.253 data_time: 0.028 memory: 6404 grad_norm: 6.9721 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7313 loss: 1.7313 2022/06/30 02:18:22 - mmengine - INFO - Epoch(train) [40][1980/3757] lr: 1.000e-02 eta: 17:21:49 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 5.7091 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0917 loss: 2.0917 2022/06/30 02:18:29 - mmengine - INFO - Epoch(train) [40][2000/3757] lr: 1.000e-02 eta: 17:21:45 time: 0.267 data_time: 0.010 memory: 6404 grad_norm: 6.1078 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6747 loss: 1.6747 2022/06/30 02:18:35 - mmengine - INFO - Epoch(train) [40][2020/3757] lr: 1.000e-02 eta: 17:21:40 time: 0.800 data_time: 0.015 memory: 6404 grad_norm: 5.8908 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7114 loss: 1.7114 2022/06/30 02:18:40 - mmengine - INFO - Epoch(train) [40][2040/3757] lr: 1.000e-02 eta: 17:21:34 time: 0.254 data_time: 0.022 memory: 6404 grad_norm: 5.4431 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9675 loss: 1.9675 2022/06/30 02:18:45 - mmengine - INFO - Epoch(train) [40][2060/3757] lr: 1.000e-02 eta: 17:21:28 time: 0.262 data_time: 0.010 memory: 6404 grad_norm: 6.0494 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9416 loss: 1.9416 2022/06/30 02:18:51 - mmengine - INFO - Epoch(train) [40][2080/3757] lr: 1.000e-02 eta: 17:21:22 time: 0.562 data_time: 0.007 memory: 6404 grad_norm: 5.8778 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5954 loss: 1.5954 2022/06/30 02:18:57 - mmengine - INFO - Epoch(train) [40][2100/3757] lr: 1.000e-02 eta: 17:21:18 time: 0.245 data_time: 0.013 memory: 6404 grad_norm: 5.7772 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7149 loss: 1.7149 2022/06/30 02:19:02 - mmengine - INFO - Epoch(train) [40][2120/3757] lr: 1.000e-02 eta: 17:21:12 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 5.0991 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6523 loss: 1.6523 2022/06/30 02:19:07 - mmengine - INFO - Epoch(train) [40][2140/3757] lr: 1.000e-02 eta: 17:21:06 time: 0.278 data_time: 0.011 memory: 6404 grad_norm: 5.2793 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9185 loss: 1.9185 2022/06/30 02:19:12 - mmengine - INFO - Epoch(train) [40][2160/3757] lr: 1.000e-02 eta: 17:20:59 time: 0.248 data_time: 0.015 memory: 6404 grad_norm: 5.3784 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5202 loss: 1.5202 2022/06/30 02:19:18 - mmengine - INFO - Epoch(train) [40][2180/3757] lr: 1.000e-02 eta: 17:20:54 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.3019 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4011 loss: 1.4011 2022/06/30 02:19:23 - mmengine - INFO - Epoch(train) [40][2200/3757] lr: 1.000e-02 eta: 17:20:48 time: 0.470 data_time: 0.007 memory: 6404 grad_norm: 5.9057 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1558 loss: 2.1558 2022/06/30 02:19:29 - mmengine - INFO - Epoch(train) [40][2220/3757] lr: 1.000e-02 eta: 17:20:43 time: 0.270 data_time: 0.011 memory: 6404 grad_norm: 6.2408 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0921 loss: 2.0921 2022/06/30 02:19:34 - mmengine - INFO - Epoch(train) [40][2240/3757] lr: 1.000e-02 eta: 17:20:37 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 6.0208 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0126 loss: 2.0126 2022/06/30 02:19:40 - mmengine - INFO - Epoch(train) [40][2260/3757] lr: 1.000e-02 eta: 17:20:32 time: 0.697 data_time: 0.007 memory: 6404 grad_norm: 6.4095 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9261 loss: 1.9261 2022/06/30 02:19:45 - mmengine - INFO - Epoch(train) [40][2280/3757] lr: 1.000e-02 eta: 17:20:26 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 7.2491 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8090 loss: 1.8090 2022/06/30 02:19:50 - mmengine - INFO - Epoch(train) [40][2300/3757] lr: 1.000e-02 eta: 17:20:20 time: 0.250 data_time: 0.023 memory: 6404 grad_norm: 6.5390 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5593 loss: 1.5593 2022/06/30 02:19:56 - mmengine - INFO - Epoch(train) [40][2320/3757] lr: 1.000e-02 eta: 17:20:15 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.4084 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6658 loss: 1.6658 2022/06/30 02:20:01 - mmengine - INFO - Epoch(train) [40][2340/3757] lr: 1.000e-02 eta: 17:20:09 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 5.7742 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6259 loss: 1.6259 2022/06/30 02:20:07 - mmengine - INFO - Epoch(train) [40][2360/3757] lr: 1.000e-02 eta: 17:20:04 time: 0.250 data_time: 0.024 memory: 6404 grad_norm: 6.2288 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6598 loss: 1.6598 2022/06/30 02:20:12 - mmengine - INFO - Epoch(train) [40][2380/3757] lr: 1.000e-02 eta: 17:19:58 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 6.0900 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5510 loss: 1.5510 2022/06/30 02:20:18 - mmengine - INFO - Epoch(train) [40][2400/3757] lr: 1.000e-02 eta: 17:19:53 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.4714 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4356 loss: 2.4356 2022/06/30 02:20:23 - mmengine - INFO - Epoch(train) [40][2420/3757] lr: 1.000e-02 eta: 17:19:47 time: 0.259 data_time: 0.013 memory: 6404 grad_norm: 6.1791 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8805 loss: 1.8805 2022/06/30 02:20:29 - mmengine - INFO - Epoch(train) [40][2440/3757] lr: 1.000e-02 eta: 17:19:42 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.4109 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1160 loss: 2.1160 2022/06/30 02:20:35 - mmengine - INFO - Epoch(train) [40][2460/3757] lr: 1.000e-02 eta: 17:19:37 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.0287 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7730 loss: 1.7730 2022/06/30 02:20:39 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 02:20:40 - mmengine - INFO - Epoch(train) [40][2480/3757] lr: 1.000e-02 eta: 17:19:31 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 6.0641 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8687 loss: 1.8687 2022/06/30 02:20:46 - mmengine - INFO - Epoch(train) [40][2500/3757] lr: 1.000e-02 eta: 17:19:26 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.6149 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5490 loss: 1.5490 2022/06/30 02:20:51 - mmengine - INFO - Epoch(train) [40][2520/3757] lr: 1.000e-02 eta: 17:19:19 time: 0.270 data_time: 0.009 memory: 6404 grad_norm: 6.2904 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0432 loss: 2.0432 2022/06/30 02:20:56 - mmengine - INFO - Epoch(train) [40][2540/3757] lr: 1.000e-02 eta: 17:19:14 time: 0.241 data_time: 0.014 memory: 6404 grad_norm: 4.8432 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9321 loss: 1.9321 2022/06/30 02:21:02 - mmengine - INFO - Epoch(train) [40][2560/3757] lr: 1.000e-02 eta: 17:19:09 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 5.3433 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7635 loss: 1.7635 2022/06/30 02:21:08 - mmengine - INFO - Epoch(train) [40][2580/3757] lr: 1.000e-02 eta: 17:19:03 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 5.7813 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8385 loss: 1.8385 2022/06/30 02:21:13 - mmengine - INFO - Epoch(train) [40][2600/3757] lr: 1.000e-02 eta: 17:18:58 time: 0.261 data_time: 0.011 memory: 6404 grad_norm: 6.6108 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6767 loss: 1.6767 2022/06/30 02:21:19 - mmengine - INFO - Epoch(train) [40][2620/3757] lr: 1.000e-02 eta: 17:18:52 time: 0.249 data_time: 0.017 memory: 6404 grad_norm: 5.5942 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6651 loss: 1.6651 2022/06/30 02:21:24 - mmengine - INFO - Epoch(train) [40][2640/3757] lr: 1.000e-02 eta: 17:18:46 time: 0.255 data_time: 0.012 memory: 6404 grad_norm: 6.0997 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6865 loss: 1.6865 2022/06/30 02:21:29 - mmengine - INFO - Epoch(train) [40][2660/3757] lr: 1.000e-02 eta: 17:18:41 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.2529 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1490 loss: 2.1490 2022/06/30 02:21:35 - mmengine - INFO - Epoch(train) [40][2680/3757] lr: 1.000e-02 eta: 17:18:36 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.3778 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8642 loss: 1.8642 2022/06/30 02:21:41 - mmengine - INFO - Epoch(train) [40][2700/3757] lr: 1.000e-02 eta: 17:18:30 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 6.1198 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6309 loss: 1.6309 2022/06/30 02:21:46 - mmengine - INFO - Epoch(train) [40][2720/3757] lr: 1.000e-02 eta: 17:18:25 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 6.3579 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4701 loss: 1.4701 2022/06/30 02:21:52 - mmengine - INFO - Epoch(train) [40][2740/3757] lr: 1.000e-02 eta: 17:18:19 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.0072 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5815 loss: 1.5815 2022/06/30 02:21:57 - mmengine - INFO - Epoch(train) [40][2760/3757] lr: 1.000e-02 eta: 17:18:13 time: 0.239 data_time: 0.010 memory: 6404 grad_norm: 5.8498 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7275 loss: 1.7275 2022/06/30 02:22:02 - mmengine - INFO - Epoch(train) [40][2780/3757] lr: 1.000e-02 eta: 17:18:07 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.2439 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7522 loss: 1.7522 2022/06/30 02:22:08 - mmengine - INFO - Epoch(train) [40][2800/3757] lr: 1.000e-02 eta: 17:18:02 time: 0.241 data_time: 0.006 memory: 6404 grad_norm: 6.4382 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8943 loss: 1.8943 2022/06/30 02:22:14 - mmengine - INFO - Epoch(train) [40][2820/3757] lr: 1.000e-02 eta: 17:17:58 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 5.1153 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7804 loss: 1.7804 2022/06/30 02:22:19 - mmengine - INFO - Epoch(train) [40][2840/3757] lr: 1.000e-02 eta: 17:17:52 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.1681 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0309 loss: 2.0309 2022/06/30 02:22:24 - mmengine - INFO - Epoch(train) [40][2860/3757] lr: 1.000e-02 eta: 17:17:46 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.8561 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8367 loss: 1.8367 2022/06/30 02:22:30 - mmengine - INFO - Epoch(train) [40][2880/3757] lr: 1.000e-02 eta: 17:17:41 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 5.7023 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8749 loss: 1.8749 2022/06/30 02:22:36 - mmengine - INFO - Epoch(train) [40][2900/3757] lr: 1.000e-02 eta: 17:17:36 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.1297 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7669 loss: 1.7669 2022/06/30 02:22:41 - mmengine - INFO - Epoch(train) [40][2920/3757] lr: 1.000e-02 eta: 17:17:30 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 6.1343 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7240 loss: 1.7240 2022/06/30 02:22:47 - mmengine - INFO - Epoch(train) [40][2940/3757] lr: 1.000e-02 eta: 17:17:24 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 5.7181 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8503 loss: 1.8503 2022/06/30 02:22:52 - mmengine - INFO - Epoch(train) [40][2960/3757] lr: 1.000e-02 eta: 17:17:18 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.0813 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8552 loss: 1.8552 2022/06/30 02:22:57 - mmengine - INFO - Epoch(train) [40][2980/3757] lr: 1.000e-02 eta: 17:17:13 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.3528 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8808 loss: 1.8808 2022/06/30 02:23:03 - mmengine - INFO - Epoch(train) [40][3000/3757] lr: 1.000e-02 eta: 17:17:07 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 5.6803 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1062 loss: 2.1062 2022/06/30 02:23:08 - mmengine - INFO - Epoch(train) [40][3020/3757] lr: 1.000e-02 eta: 17:17:01 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.2246 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6328 loss: 1.6328 2022/06/30 02:23:14 - mmengine - INFO - Epoch(train) [40][3040/3757] lr: 1.000e-02 eta: 17:16:55 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.6447 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6314 loss: 1.6314 2022/06/30 02:23:19 - mmengine - INFO - Epoch(train) [40][3060/3757] lr: 1.000e-02 eta: 17:16:50 time: 0.264 data_time: 0.011 memory: 6404 grad_norm: 5.4321 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8160 loss: 1.8160 2022/06/30 02:23:25 - mmengine - INFO - Epoch(train) [40][3080/3757] lr: 1.000e-02 eta: 17:16:46 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.9431 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0154 loss: 2.0154 2022/06/30 02:23:31 - mmengine - INFO - Epoch(train) [40][3100/3757] lr: 1.000e-02 eta: 17:16:40 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 6.2262 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7189 loss: 1.7189 2022/06/30 02:23:36 - mmengine - INFO - Epoch(train) [40][3120/3757] lr: 1.000e-02 eta: 17:16:34 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.5558 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6603 loss: 1.6603 2022/06/30 02:23:41 - mmengine - INFO - Epoch(train) [40][3140/3757] lr: 1.000e-02 eta: 17:16:28 time: 0.258 data_time: 0.018 memory: 6404 grad_norm: 6.1999 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1071 loss: 2.1071 2022/06/30 02:23:47 - mmengine - INFO - Epoch(train) [40][3160/3757] lr: 1.000e-02 eta: 17:16:23 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.7657 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9890 loss: 1.9890 2022/06/30 02:23:53 - mmengine - INFO - Epoch(train) [40][3180/3757] lr: 1.000e-02 eta: 17:16:18 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 5.4040 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5803 loss: 1.5803 2022/06/30 02:23:59 - mmengine - INFO - Epoch(train) [40][3200/3757] lr: 1.000e-02 eta: 17:16:13 time: 0.290 data_time: 0.010 memory: 6404 grad_norm: 5.3594 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7016 loss: 1.7016 2022/06/30 02:24:04 - mmengine - INFO - Epoch(train) [40][3220/3757] lr: 1.000e-02 eta: 17:16:07 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.6139 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9417 loss: 1.9417 2022/06/30 02:24:09 - mmengine - INFO - Epoch(train) [40][3240/3757] lr: 1.000e-02 eta: 17:16:01 time: 0.246 data_time: 0.023 memory: 6404 grad_norm: 6.2921 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9951 loss: 1.9951 2022/06/30 02:24:15 - mmengine - INFO - Epoch(train) [40][3260/3757] lr: 1.000e-02 eta: 17:15:56 time: 0.444 data_time: 0.014 memory: 6404 grad_norm: 5.7243 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9063 loss: 1.9063 2022/06/30 02:24:20 - mmengine - INFO - Epoch(train) [40][3280/3757] lr: 1.000e-02 eta: 17:15:50 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.7511 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.7111 loss: 1.7111 2022/06/30 02:24:26 - mmengine - INFO - Epoch(train) [40][3300/3757] lr: 1.000e-02 eta: 17:15:45 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 6.4640 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8072 loss: 1.8072 2022/06/30 02:24:31 - mmengine - INFO - Epoch(train) [40][3320/3757] lr: 1.000e-02 eta: 17:15:39 time: 0.248 data_time: 0.017 memory: 6404 grad_norm: 6.4395 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2612 loss: 2.2612 2022/06/30 02:24:37 - mmengine - INFO - Epoch(train) [40][3340/3757] lr: 1.000e-02 eta: 17:15:34 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.4598 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5724 loss: 1.5724 2022/06/30 02:24:42 - mmengine - INFO - Epoch(train) [40][3360/3757] lr: 1.000e-02 eta: 17:15:28 time: 0.241 data_time: 0.007 memory: 6404 grad_norm: 5.9277 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9596 loss: 1.9596 2022/06/30 02:24:47 - mmengine - INFO - Epoch(train) [40][3380/3757] lr: 1.000e-02 eta: 17:15:22 time: 0.246 data_time: 0.020 memory: 6404 grad_norm: 6.3256 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7206 loss: 1.7206 2022/06/30 02:24:53 - mmengine - INFO - Epoch(train) [40][3400/3757] lr: 1.000e-02 eta: 17:15:17 time: 0.459 data_time: 0.008 memory: 6404 grad_norm: 6.3875 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6146 loss: 1.6146 2022/06/30 02:24:58 - mmengine - INFO - Epoch(train) [40][3420/3757] lr: 1.000e-02 eta: 17:15:11 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 6.5070 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1020 loss: 2.1020 2022/06/30 02:25:04 - mmengine - INFO - Epoch(train) [40][3440/3757] lr: 1.000e-02 eta: 17:15:06 time: 0.239 data_time: 0.048 memory: 6404 grad_norm: 5.7507 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6315 loss: 1.6315 2022/06/30 02:25:10 - mmengine - INFO - Epoch(train) [40][3460/3757] lr: 1.000e-02 eta: 17:15:01 time: 0.272 data_time: 0.007 memory: 6404 grad_norm: 6.3411 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8858 loss: 1.8858 2022/06/30 02:25:14 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 02:25:15 - mmengine - INFO - Epoch(train) [40][3480/3757] lr: 1.000e-02 eta: 17:14:55 time: 0.270 data_time: 0.007 memory: 6404 grad_norm: 5.9886 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0749 loss: 2.0749 2022/06/30 02:25:21 - mmengine - INFO - Epoch(train) [40][3500/3757] lr: 1.000e-02 eta: 17:14:50 time: 0.243 data_time: 0.018 memory: 6404 grad_norm: 5.7942 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9103 loss: 1.9103 2022/06/30 02:25:26 - mmengine - INFO - Epoch(train) [40][3520/3757] lr: 1.000e-02 eta: 17:14:44 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.5773 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7309 loss: 1.7309 2022/06/30 02:25:32 - mmengine - INFO - Epoch(train) [40][3540/3757] lr: 1.000e-02 eta: 17:14:38 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.2228 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4988 loss: 1.4988 2022/06/30 02:25:37 - mmengine - INFO - Epoch(train) [40][3560/3757] lr: 1.000e-02 eta: 17:14:33 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.5037 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6646 loss: 1.6646 2022/06/30 02:25:42 - mmengine - INFO - Epoch(train) [40][3580/3757] lr: 1.000e-02 eta: 17:14:27 time: 0.239 data_time: 0.011 memory: 6404 grad_norm: 5.8289 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3526 loss: 2.3526 2022/06/30 02:25:49 - mmengine - INFO - Epoch(train) [40][3600/3757] lr: 1.000e-02 eta: 17:14:22 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 5.2284 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1458 loss: 2.1458 2022/06/30 02:25:54 - mmengine - INFO - Epoch(train) [40][3620/3757] lr: 1.000e-02 eta: 17:14:17 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 5.2491 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9663 loss: 1.9663 2022/06/30 02:26:00 - mmengine - INFO - Epoch(train) [40][3640/3757] lr: 1.000e-02 eta: 17:14:12 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.3977 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5683 loss: 1.5683 2022/06/30 02:26:06 - mmengine - INFO - Epoch(train) [40][3660/3757] lr: 1.000e-02 eta: 17:14:07 time: 0.810 data_time: 0.010 memory: 6404 grad_norm: 5.9725 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7855 loss: 1.7855 2022/06/30 02:26:11 - mmengine - INFO - Epoch(train) [40][3680/3757] lr: 1.000e-02 eta: 17:14:00 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 5.5634 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6546 loss: 1.6546 2022/06/30 02:26:16 - mmengine - INFO - Epoch(train) [40][3700/3757] lr: 1.000e-02 eta: 17:13:54 time: 0.249 data_time: 0.015 memory: 6404 grad_norm: 6.4565 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8258 loss: 1.8258 2022/06/30 02:26:21 - mmengine - INFO - Epoch(train) [40][3720/3757] lr: 1.000e-02 eta: 17:13:49 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 6.2841 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0127 loss: 2.0127 2022/06/30 02:26:27 - mmengine - INFO - Epoch(train) [40][3740/3757] lr: 1.000e-02 eta: 17:13:43 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 6.2524 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7809 loss: 1.7809 2022/06/30 02:26:31 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 02:26:31 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/06/30 02:26:42 - mmengine - INFO - Epoch(val) [40][20/310] eta: 0:01:32 time: 0.080 data_time: 0.008 memory: 6404 2022/06/30 02:26:48 - mmengine - INFO - Epoch(val) [40][40/310] eta: 0:01:17 time: 0.083 data_time: 0.006 memory: 1479 2022/06/30 02:26:52 - mmengine - INFO - Epoch(val) [40][60/310] eta: 0:00:20 time: 0.081 data_time: 0.008 memory: 1479 2022/06/30 02:26:58 - mmengine - INFO - Epoch(val) [40][80/310] eta: 0:01:09 time: 0.086 data_time: 0.014 memory: 1479 2022/06/30 02:27:04 - mmengine - INFO - Epoch(val) [40][100/310] eta: 0:01:03 time: 0.292 data_time: 0.213 memory: 1479 2022/06/30 02:27:08 - mmengine - INFO - Epoch(val) [40][120/310] eta: 0:00:23 time: 0.078 data_time: 0.005 memory: 1479 2022/06/30 02:27:14 - mmengine - INFO - Epoch(val) [40][140/310] eta: 0:00:52 time: 0.205 data_time: 0.128 memory: 1479 2022/06/30 02:27:20 - mmengine - INFO - Epoch(val) [40][160/310] eta: 0:00:48 time: 0.643 data_time: 0.571 memory: 1479 2022/06/30 02:27:24 - mmengine - INFO - Epoch(val) [40][180/310] eta: 0:00:24 time: 0.077 data_time: 0.006 memory: 1479 2022/06/30 02:27:30 - mmengine - INFO - Epoch(val) [40][200/310] eta: 0:00:33 time: 0.088 data_time: 0.013 memory: 1479 2022/06/30 02:27:36 - mmengine - INFO - Epoch(val) [40][220/310] eta: 0:00:25 time: 0.333 data_time: 0.248 memory: 1479 2022/06/30 02:27:40 - mmengine - INFO - Epoch(val) [40][240/310] eta: 0:00:15 time: 0.077 data_time: 0.005 memory: 1479 2022/06/30 02:27:46 - mmengine - INFO - Epoch(val) [40][260/310] eta: 0:00:14 time: 0.082 data_time: 0.008 memory: 1479 2022/06/30 02:27:52 - mmengine - INFO - Epoch(val) [40][280/310] eta: 0:00:07 time: 0.430 data_time: 0.344 memory: 1479 2022/06/30 02:27:54 - mmengine - INFO - Epoch(val) [40][300/310] eta: 0:00:01 time: 0.074 data_time: 0.004 memory: 1479 2022/06/30 02:27:56 - mmengine - INFO - Epoch(val) [40][310/310] acc/top1: 0.5820 acc/top5: 0.8170 acc/mean1: 0.5820 2022/06/30 02:28:05 - mmengine - INFO - Epoch(train) [41][20/3757] lr: 1.000e-03 eta: 17:13:35 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 6.6832 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8783 loss: 1.8783 2022/06/30 02:28:11 - mmengine - INFO - Epoch(train) [41][40/3757] lr: 1.000e-03 eta: 17:13:30 time: 0.246 data_time: 0.017 memory: 6404 grad_norm: 5.2021 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0283 loss: 2.0283 2022/06/30 02:28:17 - mmengine - INFO - Epoch(train) [41][60/3757] lr: 1.000e-03 eta: 17:13:25 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.9110 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7329 loss: 1.7329 2022/06/30 02:28:22 - mmengine - INFO - Epoch(train) [41][80/3757] lr: 1.000e-03 eta: 17:13:19 time: 0.260 data_time: 0.015 memory: 6404 grad_norm: 4.7624 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6988 loss: 1.6988 2022/06/30 02:28:28 - mmengine - INFO - Epoch(train) [41][100/3757] lr: 1.000e-03 eta: 17:13:14 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.3852 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7966 loss: 1.7966 2022/06/30 02:28:33 - mmengine - INFO - Epoch(train) [41][120/3757] lr: 1.000e-03 eta: 17:13:08 time: 0.251 data_time: 0.015 memory: 6404 grad_norm: 5.0800 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4279 loss: 1.4279 2022/06/30 02:28:39 - mmengine - INFO - Epoch(train) [41][140/3757] lr: 1.000e-03 eta: 17:13:03 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.7639 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7760 loss: 1.7760 2022/06/30 02:28:45 - mmengine - INFO - Epoch(train) [41][160/3757] lr: 1.000e-03 eta: 17:12:58 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.7780 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7429 loss: 1.7429 2022/06/30 02:28:50 - mmengine - INFO - Epoch(train) [41][180/3757] lr: 1.000e-03 eta: 17:12:52 time: 0.247 data_time: 0.013 memory: 6404 grad_norm: 4.8342 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5486 loss: 1.5486 2022/06/30 02:28:56 - mmengine - INFO - Epoch(train) [41][200/3757] lr: 1.000e-03 eta: 17:12:47 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 5.8288 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6548 loss: 1.6548 2022/06/30 02:29:01 - mmengine - INFO - Epoch(train) [41][220/3757] lr: 1.000e-03 eta: 17:12:42 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 6.1789 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7279 loss: 1.7279 2022/06/30 02:29:07 - mmengine - INFO - Epoch(train) [41][240/3757] lr: 1.000e-03 eta: 17:12:36 time: 0.276 data_time: 0.010 memory: 6404 grad_norm: 4.8564 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7668 loss: 1.7668 2022/06/30 02:29:12 - mmengine - INFO - Epoch(train) [41][260/3757] lr: 1.000e-03 eta: 17:12:30 time: 0.267 data_time: 0.026 memory: 6404 grad_norm: 5.8855 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.6625 loss: 1.6625 2022/06/30 02:29:17 - mmengine - INFO - Epoch(train) [41][280/3757] lr: 1.000e-03 eta: 17:12:25 time: 0.259 data_time: 0.014 memory: 6404 grad_norm: 5.3578 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6717 loss: 1.6717 2022/06/30 02:29:23 - mmengine - INFO - Epoch(train) [41][300/3757] lr: 1.000e-03 eta: 17:12:19 time: 0.248 data_time: 0.013 memory: 6404 grad_norm: 5.0669 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5819 loss: 1.5819 2022/06/30 02:29:28 - mmengine - INFO - Epoch(train) [41][320/3757] lr: 1.000e-03 eta: 17:12:13 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 4.8264 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2176 loss: 1.2176 2022/06/30 02:29:34 - mmengine - INFO - Epoch(train) [41][340/3757] lr: 1.000e-03 eta: 17:12:08 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 5.5322 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7560 loss: 1.7560 2022/06/30 02:29:39 - mmengine - INFO - Epoch(train) [41][360/3757] lr: 1.000e-03 eta: 17:12:02 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 5.9331 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5198 loss: 1.5198 2022/06/30 02:29:44 - mmengine - INFO - Epoch(train) [41][380/3757] lr: 1.000e-03 eta: 17:11:56 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 6.2740 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6560 loss: 1.6560 2022/06/30 02:29:50 - mmengine - INFO - Epoch(train) [41][400/3757] lr: 1.000e-03 eta: 17:11:51 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 5.4887 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5013 loss: 1.5013 2022/06/30 02:29:56 - mmengine - INFO - Epoch(train) [41][420/3757] lr: 1.000e-03 eta: 17:11:46 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 5.3668 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7975 loss: 1.7975 2022/06/30 02:30:01 - mmengine - INFO - Epoch(train) [41][440/3757] lr: 1.000e-03 eta: 17:11:40 time: 0.257 data_time: 0.015 memory: 6404 grad_norm: 5.1954 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.6091 loss: 1.6091 2022/06/30 02:30:07 - mmengine - INFO - Epoch(train) [41][460/3757] lr: 1.000e-03 eta: 17:11:36 time: 0.257 data_time: 0.064 memory: 6404 grad_norm: 5.5108 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8298 loss: 1.8298 2022/06/30 02:30:13 - mmengine - INFO - Epoch(train) [41][480/3757] lr: 1.000e-03 eta: 17:11:30 time: 0.257 data_time: 0.015 memory: 6404 grad_norm: 5.2107 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6280 loss: 1.6280 2022/06/30 02:30:18 - mmengine - INFO - Epoch(train) [41][500/3757] lr: 1.000e-03 eta: 17:11:24 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 6.5797 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4230 loss: 1.4230 2022/06/30 02:30:23 - mmengine - INFO - Epoch(train) [41][520/3757] lr: 1.000e-03 eta: 17:11:18 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 4.9879 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5580 loss: 1.5580 2022/06/30 02:30:28 - mmengine - INFO - Epoch(train) [41][540/3757] lr: 1.000e-03 eta: 17:11:12 time: 0.251 data_time: 0.017 memory: 6404 grad_norm: 6.2813 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7858 loss: 1.7858 2022/06/30 02:30:34 - mmengine - INFO - Epoch(train) [41][560/3757] lr: 1.000e-03 eta: 17:11:06 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.6451 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7424 loss: 1.7424 2022/06/30 02:30:39 - mmengine - INFO - Epoch(train) [41][580/3757] lr: 1.000e-03 eta: 17:11:01 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.6431 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1521 loss: 2.1521 2022/06/30 02:30:45 - mmengine - INFO - Epoch(train) [41][600/3757] lr: 1.000e-03 eta: 17:10:55 time: 0.242 data_time: 0.018 memory: 6404 grad_norm: 5.2615 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5145 loss: 1.5145 2022/06/30 02:30:50 - mmengine - INFO - Epoch(train) [41][620/3757] lr: 1.000e-03 eta: 17:10:50 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 5.1877 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6673 loss: 1.6673 2022/06/30 02:30:56 - mmengine - INFO - Epoch(train) [41][640/3757] lr: 1.000e-03 eta: 17:10:44 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 4.6649 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6472 loss: 1.6472 2022/06/30 02:31:01 - mmengine - INFO - Epoch(train) [41][660/3757] lr: 1.000e-03 eta: 17:10:38 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 5.2679 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3730 loss: 1.3730 2022/06/30 02:31:07 - mmengine - INFO - Epoch(train) [41][680/3757] lr: 1.000e-03 eta: 17:10:33 time: 0.244 data_time: 0.009 memory: 6404 grad_norm: 5.6911 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4421 loss: 1.4421 2022/06/30 02:31:12 - mmengine - INFO - Epoch(train) [41][700/3757] lr: 1.000e-03 eta: 17:10:28 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.0196 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7174 loss: 1.7174 2022/06/30 02:31:18 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 02:31:18 - mmengine - INFO - Epoch(train) [41][720/3757] lr: 1.000e-03 eta: 17:10:22 time: 0.246 data_time: 0.058 memory: 6404 grad_norm: 5.6358 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0391 loss: 2.0391 2022/06/30 02:31:24 - mmengine - INFO - Epoch(train) [41][740/3757] lr: 1.000e-03 eta: 17:10:17 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 5.8465 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7435 loss: 1.7435 2022/06/30 02:31:29 - mmengine - INFO - Epoch(train) [41][760/3757] lr: 1.000e-03 eta: 17:10:11 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 5.2738 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8504 loss: 1.8504 2022/06/30 02:31:35 - mmengine - INFO - Epoch(train) [41][780/3757] lr: 1.000e-03 eta: 17:10:06 time: 0.249 data_time: 0.039 memory: 6404 grad_norm: 5.2575 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5183 loss: 1.5183 2022/06/30 02:31:40 - mmengine - INFO - Epoch(train) [41][800/3757] lr: 1.000e-03 eta: 17:10:01 time: 0.262 data_time: 0.006 memory: 6404 grad_norm: 5.5454 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6003 loss: 1.6003 2022/06/30 02:31:46 - mmengine - INFO - Epoch(train) [41][820/3757] lr: 1.000e-03 eta: 17:09:56 time: 0.360 data_time: 0.011 memory: 6404 grad_norm: 5.1146 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4508 loss: 1.4508 2022/06/30 02:31:51 - mmengine - INFO - Epoch(train) [41][840/3757] lr: 1.000e-03 eta: 17:09:50 time: 0.276 data_time: 0.017 memory: 6404 grad_norm: 5.5254 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7243 loss: 1.7243 2022/06/30 02:31:57 - mmengine - INFO - Epoch(train) [41][860/3757] lr: 1.000e-03 eta: 17:09:44 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 4.8767 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0032 loss: 2.0032 2022/06/30 02:32:02 - mmengine - INFO - Epoch(train) [41][880/3757] lr: 1.000e-03 eta: 17:09:38 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 6.3762 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5794 loss: 1.5794 2022/06/30 02:32:08 - mmengine - INFO - Epoch(train) [41][900/3757] lr: 1.000e-03 eta: 17:09:33 time: 0.246 data_time: 0.018 memory: 6404 grad_norm: 6.8558 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8787 loss: 1.8787 2022/06/30 02:32:13 - mmengine - INFO - Epoch(train) [41][920/3757] lr: 1.000e-03 eta: 17:09:28 time: 0.246 data_time: 0.012 memory: 6404 grad_norm: 4.7581 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7265 loss: 1.7265 2022/06/30 02:32:19 - mmengine - INFO - Epoch(train) [41][940/3757] lr: 1.000e-03 eta: 17:09:22 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 5.8327 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3643 loss: 1.3643 2022/06/30 02:32:24 - mmengine - INFO - Epoch(train) [41][960/3757] lr: 1.000e-03 eta: 17:09:17 time: 0.283 data_time: 0.010 memory: 6404 grad_norm: 4.8720 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3761 loss: 1.3761 2022/06/30 02:32:30 - mmengine - INFO - Epoch(train) [41][980/3757] lr: 1.000e-03 eta: 17:09:11 time: 0.244 data_time: 0.009 memory: 6404 grad_norm: 5.6713 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2196 loss: 1.2196 2022/06/30 02:32:35 - mmengine - INFO - Epoch(train) [41][1000/3757] lr: 1.000e-03 eta: 17:09:05 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.1510 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6556 loss: 1.6556 2022/06/30 02:32:41 - mmengine - INFO - Epoch(train) [41][1020/3757] lr: 1.000e-03 eta: 17:09:00 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 6.5516 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4756 loss: 1.4756 2022/06/30 02:32:47 - mmengine - INFO - Epoch(train) [41][1040/3757] lr: 1.000e-03 eta: 17:08:55 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 7.5665 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6310 loss: 1.6310 2022/06/30 02:32:52 - mmengine - INFO - Epoch(train) [41][1060/3757] lr: 1.000e-03 eta: 17:08:49 time: 0.242 data_time: 0.008 memory: 6404 grad_norm: 5.3231 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5026 loss: 1.5026 2022/06/30 02:32:57 - mmengine - INFO - Epoch(train) [41][1080/3757] lr: 1.000e-03 eta: 17:08:43 time: 0.244 data_time: 0.013 memory: 6404 grad_norm: 5.2225 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4053 loss: 1.4053 2022/06/30 02:33:03 - mmengine - INFO - Epoch(train) [41][1100/3757] lr: 1.000e-03 eta: 17:08:38 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 4.3848 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4393 loss: 1.4393 2022/06/30 02:33:09 - mmengine - INFO - Epoch(train) [41][1120/3757] lr: 1.000e-03 eta: 17:08:33 time: 0.263 data_time: 0.008 memory: 6404 grad_norm: 5.5659 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2288 loss: 1.2288 2022/06/30 02:33:14 - mmengine - INFO - Epoch(train) [41][1140/3757] lr: 1.000e-03 eta: 17:08:27 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.3284 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7211 loss: 1.7211 2022/06/30 02:33:20 - mmengine - INFO - Epoch(train) [41][1160/3757] lr: 1.000e-03 eta: 17:08:22 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.1055 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5547 loss: 1.5547 2022/06/30 02:33:25 - mmengine - INFO - Epoch(train) [41][1180/3757] lr: 1.000e-03 eta: 17:08:16 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 5.2754 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8866 loss: 1.8866 2022/06/30 02:33:31 - mmengine - INFO - Epoch(train) [41][1200/3757] lr: 1.000e-03 eta: 17:08:11 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 4.4974 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5739 loss: 1.5739 2022/06/30 02:33:36 - mmengine - INFO - Epoch(train) [41][1220/3757] lr: 1.000e-03 eta: 17:08:05 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 5.7224 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3794 loss: 1.3794 2022/06/30 02:33:41 - mmengine - INFO - Epoch(train) [41][1240/3757] lr: 1.000e-03 eta: 17:07:59 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.0106 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7197 loss: 1.7197 2022/06/30 02:33:47 - mmengine - INFO - Epoch(train) [41][1260/3757] lr: 1.000e-03 eta: 17:07:53 time: 0.426 data_time: 0.203 memory: 6404 grad_norm: 4.7218 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6839 loss: 1.6839 2022/06/30 02:33:52 - mmengine - INFO - Epoch(train) [41][1280/3757] lr: 1.000e-03 eta: 17:07:47 time: 0.254 data_time: 0.024 memory: 6404 grad_norm: 6.3968 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4873 loss: 1.4873 2022/06/30 02:33:57 - mmengine - INFO - Epoch(train) [41][1300/3757] lr: 1.000e-03 eta: 17:07:42 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 5.6219 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9685 loss: 1.9685 2022/06/30 02:34:03 - mmengine - INFO - Epoch(train) [41][1320/3757] lr: 1.000e-03 eta: 17:07:36 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.3541 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6214 loss: 1.6214 2022/06/30 02:34:08 - mmengine - INFO - Epoch(train) [41][1340/3757] lr: 1.000e-03 eta: 17:07:31 time: 0.257 data_time: 0.024 memory: 6404 grad_norm: 5.5196 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6021 loss: 1.6021 2022/06/30 02:34:14 - mmengine - INFO - Epoch(train) [41][1360/3757] lr: 1.000e-03 eta: 17:07:26 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.2377 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8265 loss: 1.8265 2022/06/30 02:34:19 - mmengine - INFO - Epoch(train) [41][1380/3757] lr: 1.000e-03 eta: 17:07:20 time: 0.235 data_time: 0.011 memory: 6404 grad_norm: 4.9611 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2285 loss: 1.2285 2022/06/30 02:34:25 - mmengine - INFO - Epoch(train) [41][1400/3757] lr: 1.000e-03 eta: 17:07:15 time: 0.258 data_time: 0.023 memory: 6404 grad_norm: 4.3395 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5060 loss: 1.5060 2022/06/30 02:34:31 - mmengine - INFO - Epoch(train) [41][1420/3757] lr: 1.000e-03 eta: 17:07:10 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 5.5515 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1925 loss: 1.1925 2022/06/30 02:34:36 - mmengine - INFO - Epoch(train) [41][1440/3757] lr: 1.000e-03 eta: 17:07:04 time: 0.283 data_time: 0.015 memory: 6404 grad_norm: 5.3474 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6500 loss: 1.6500 2022/06/30 02:34:41 - mmengine - INFO - Epoch(train) [41][1460/3757] lr: 1.000e-03 eta: 17:06:58 time: 0.254 data_time: 0.027 memory: 6404 grad_norm: 5.0654 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2891 loss: 1.2891 2022/06/30 02:34:47 - mmengine - INFO - Epoch(train) [41][1480/3757] lr: 1.000e-03 eta: 17:06:53 time: 0.248 data_time: 0.016 memory: 6404 grad_norm: 5.3211 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8014 loss: 1.8014 2022/06/30 02:34:53 - mmengine - INFO - Epoch(train) [41][1500/3757] lr: 1.000e-03 eta: 17:06:48 time: 0.279 data_time: 0.008 memory: 6404 grad_norm: 4.3273 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6929 loss: 1.6929 2022/06/30 02:34:58 - mmengine - INFO - Epoch(train) [41][1520/3757] lr: 1.000e-03 eta: 17:06:42 time: 0.249 data_time: 0.041 memory: 6404 grad_norm: 5.8629 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8950 loss: 1.8950 2022/06/30 02:35:04 - mmengine - INFO - Epoch(train) [41][1540/3757] lr: 1.000e-03 eta: 17:06:36 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.5229 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3779 loss: 1.3779 2022/06/30 02:35:10 - mmengine - INFO - Epoch(train) [41][1560/3757] lr: 1.000e-03 eta: 17:06:31 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.4021 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1951 loss: 1.1951 2022/06/30 02:35:15 - mmengine - INFO - Epoch(train) [41][1580/3757] lr: 1.000e-03 eta: 17:06:26 time: 0.266 data_time: 0.056 memory: 6404 grad_norm: 4.8493 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5254 loss: 1.5254 2022/06/30 02:35:20 - mmengine - INFO - Epoch(train) [41][1600/3757] lr: 1.000e-03 eta: 17:06:20 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 6.6429 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.6086 loss: 1.6086 2022/06/30 02:35:26 - mmengine - INFO - Epoch(train) [41][1620/3757] lr: 1.000e-03 eta: 17:06:14 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.4214 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6540 loss: 1.6540 2022/06/30 02:35:32 - mmengine - INFO - Epoch(train) [41][1640/3757] lr: 1.000e-03 eta: 17:06:09 time: 0.254 data_time: 0.023 memory: 6404 grad_norm: 5.1613 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6275 loss: 1.6275 2022/06/30 02:35:37 - mmengine - INFO - Epoch(train) [41][1660/3757] lr: 1.000e-03 eta: 17:06:04 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 5.9722 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6377 loss: 1.6377 2022/06/30 02:35:43 - mmengine - INFO - Epoch(train) [41][1680/3757] lr: 1.000e-03 eta: 17:05:58 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.3500 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7800 loss: 1.7800 2022/06/30 02:35:48 - mmengine - INFO - Epoch(train) [41][1700/3757] lr: 1.000e-03 eta: 17:05:53 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 5.6097 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4687 loss: 1.4687 2022/06/30 02:35:53 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 02:35:53 - mmengine - INFO - Epoch(train) [41][1720/3757] lr: 1.000e-03 eta: 17:05:47 time: 0.283 data_time: 0.013 memory: 6404 grad_norm: 5.8232 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4010 loss: 1.4010 2022/06/30 02:35:59 - mmengine - INFO - Epoch(train) [41][1740/3757] lr: 1.000e-03 eta: 17:05:41 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.3808 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5332 loss: 1.5332 2022/06/30 02:36:04 - mmengine - INFO - Epoch(train) [41][1760/3757] lr: 1.000e-03 eta: 17:05:35 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 6.6670 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3875 loss: 1.3875 2022/06/30 02:36:10 - mmengine - INFO - Epoch(train) [41][1780/3757] lr: 1.000e-03 eta: 17:05:30 time: 0.270 data_time: 0.020 memory: 6404 grad_norm: 6.7458 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8273 loss: 1.8273 2022/06/30 02:36:15 - mmengine - INFO - Epoch(train) [41][1800/3757] lr: 1.000e-03 eta: 17:05:24 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 5.0155 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6155 loss: 1.6155 2022/06/30 02:36:20 - mmengine - INFO - Epoch(train) [41][1820/3757] lr: 1.000e-03 eta: 17:05:18 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.0871 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2495 loss: 1.2495 2022/06/30 02:36:26 - mmengine - INFO - Epoch(train) [41][1840/3757] lr: 1.000e-03 eta: 17:05:13 time: 0.358 data_time: 0.012 memory: 6404 grad_norm: 5.7729 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4821 loss: 1.4821 2022/06/30 02:36:31 - mmengine - INFO - Epoch(train) [41][1860/3757] lr: 1.000e-03 eta: 17:05:07 time: 0.240 data_time: 0.012 memory: 6404 grad_norm: 6.2467 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6903 loss: 1.6903 2022/06/30 02:36:37 - mmengine - INFO - Epoch(train) [41][1880/3757] lr: 1.000e-03 eta: 17:05:02 time: 0.249 data_time: 0.017 memory: 6404 grad_norm: 5.7353 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4917 loss: 1.4917 2022/06/30 02:36:42 - mmengine - INFO - Epoch(train) [41][1900/3757] lr: 1.000e-03 eta: 17:04:56 time: 0.436 data_time: 0.028 memory: 6404 grad_norm: 5.9814 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5594 loss: 1.5594 2022/06/30 02:36:48 - mmengine - INFO - Epoch(train) [41][1920/3757] lr: 1.000e-03 eta: 17:04:51 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 5.5243 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3770 loss: 1.3770 2022/06/30 02:36:53 - mmengine - INFO - Epoch(train) [41][1940/3757] lr: 1.000e-03 eta: 17:04:45 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.2898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5329 loss: 1.5329 2022/06/30 02:36:59 - mmengine - INFO - Epoch(train) [41][1960/3757] lr: 1.000e-03 eta: 17:04:39 time: 0.490 data_time: 0.014 memory: 6404 grad_norm: 5.3745 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6801 loss: 1.6801 2022/06/30 02:37:04 - mmengine - INFO - Epoch(train) [41][1980/3757] lr: 1.000e-03 eta: 17:04:34 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.5232 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4596 loss: 1.4596 2022/06/30 02:37:10 - mmengine - INFO - Epoch(train) [41][2000/3757] lr: 1.000e-03 eta: 17:04:29 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 6.8342 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5610 loss: 1.5610 2022/06/30 02:37:15 - mmengine - INFO - Epoch(train) [41][2020/3757] lr: 1.000e-03 eta: 17:04:23 time: 0.249 data_time: 0.022 memory: 6404 grad_norm: 5.0835 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5534 loss: 1.5534 2022/06/30 02:37:21 - mmengine - INFO - Epoch(train) [41][2040/3757] lr: 1.000e-03 eta: 17:04:18 time: 0.332 data_time: 0.022 memory: 6404 grad_norm: 4.8029 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4735 loss: 1.4735 2022/06/30 02:37:27 - mmengine - INFO - Epoch(train) [41][2060/3757] lr: 1.000e-03 eta: 17:04:12 time: 0.609 data_time: 0.007 memory: 6404 grad_norm: 5.3766 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4248 loss: 1.4248 2022/06/30 02:37:32 - mmengine - INFO - Epoch(train) [41][2080/3757] lr: 1.000e-03 eta: 17:04:07 time: 0.483 data_time: 0.297 memory: 6404 grad_norm: 6.0341 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.6800 loss: 1.6800 2022/06/30 02:37:38 - mmengine - INFO - Epoch(train) [41][2100/3757] lr: 1.000e-03 eta: 17:04:01 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 6.2371 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7322 loss: 1.7322 2022/06/30 02:37:43 - mmengine - INFO - Epoch(train) [41][2120/3757] lr: 1.000e-03 eta: 17:03:56 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.7167 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7637 loss: 1.7637 2022/06/30 02:37:49 - mmengine - INFO - Epoch(train) [41][2140/3757] lr: 1.000e-03 eta: 17:03:51 time: 0.257 data_time: 0.027 memory: 6404 grad_norm: 5.7491 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5539 loss: 1.5539 2022/06/30 02:37:54 - mmengine - INFO - Epoch(train) [41][2160/3757] lr: 1.000e-03 eta: 17:03:45 time: 0.260 data_time: 0.006 memory: 6404 grad_norm: 6.0322 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7412 loss: 1.7412 2022/06/30 02:37:59 - mmengine - INFO - Epoch(train) [41][2180/3757] lr: 1.000e-03 eta: 17:03:39 time: 0.240 data_time: 0.008 memory: 6404 grad_norm: 5.2176 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9643 loss: 1.9643 2022/06/30 02:38:05 - mmengine - INFO - Epoch(train) [41][2200/3757] lr: 1.000e-03 eta: 17:03:33 time: 0.278 data_time: 0.021 memory: 6404 grad_norm: 5.1009 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6616 loss: 1.6616 2022/06/30 02:38:11 - mmengine - INFO - Epoch(train) [41][2220/3757] lr: 1.000e-03 eta: 17:03:28 time: 0.291 data_time: 0.007 memory: 6404 grad_norm: 6.2751 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6544 loss: 1.6544 2022/06/30 02:38:16 - mmengine - INFO - Epoch(train) [41][2240/3757] lr: 1.000e-03 eta: 17:03:22 time: 0.289 data_time: 0.010 memory: 6404 grad_norm: 4.8639 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3414 loss: 1.3414 2022/06/30 02:38:21 - mmengine - INFO - Epoch(train) [41][2260/3757] lr: 1.000e-03 eta: 17:03:17 time: 0.407 data_time: 0.222 memory: 6404 grad_norm: 6.1355 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6043 loss: 1.6043 2022/06/30 02:38:28 - mmengine - INFO - Epoch(train) [41][2280/3757] lr: 1.000e-03 eta: 17:03:13 time: 0.280 data_time: 0.007 memory: 6404 grad_norm: 4.8307 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8471 loss: 1.8471 2022/06/30 02:38:33 - mmengine - INFO - Epoch(train) [41][2300/3757] lr: 1.000e-03 eta: 17:03:07 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 5.9152 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4781 loss: 1.4781 2022/06/30 02:38:38 - mmengine - INFO - Epoch(train) [41][2320/3757] lr: 1.000e-03 eta: 17:03:01 time: 0.245 data_time: 0.030 memory: 6404 grad_norm: 4.7158 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5112 loss: 1.5112 2022/06/30 02:38:44 - mmengine - INFO - Epoch(train) [41][2340/3757] lr: 1.000e-03 eta: 17:02:55 time: 0.265 data_time: 0.006 memory: 6404 grad_norm: 5.0995 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6243 loss: 1.6243 2022/06/30 02:38:49 - mmengine - INFO - Epoch(train) [41][2360/3757] lr: 1.000e-03 eta: 17:02:50 time: 0.263 data_time: 0.008 memory: 6404 grad_norm: 6.2568 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4526 loss: 1.4526 2022/06/30 02:38:55 - mmengine - INFO - Epoch(train) [41][2380/3757] lr: 1.000e-03 eta: 17:02:44 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.9223 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5697 loss: 1.5697 2022/06/30 02:39:01 - mmengine - INFO - Epoch(train) [41][2400/3757] lr: 1.000e-03 eta: 17:02:40 time: 0.270 data_time: 0.006 memory: 6404 grad_norm: 5.3526 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3193 loss: 1.3193 2022/06/30 02:39:06 - mmengine - INFO - Epoch(train) [41][2420/3757] lr: 1.000e-03 eta: 17:02:34 time: 0.305 data_time: 0.011 memory: 6404 grad_norm: 5.3501 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5370 loss: 1.5370 2022/06/30 02:39:11 - mmengine - INFO - Epoch(train) [41][2440/3757] lr: 1.000e-03 eta: 17:02:28 time: 0.237 data_time: 0.014 memory: 6404 grad_norm: 6.0861 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2787 loss: 1.2787 2022/06/30 02:39:17 - mmengine - INFO - Epoch(train) [41][2460/3757] lr: 1.000e-03 eta: 17:02:23 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 6.5685 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3304 loss: 1.3304 2022/06/30 02:39:23 - mmengine - INFO - Epoch(train) [41][2480/3757] lr: 1.000e-03 eta: 17:02:17 time: 0.273 data_time: 0.011 memory: 6404 grad_norm: 6.1899 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7117 loss: 1.7117 2022/06/30 02:39:28 - mmengine - INFO - Epoch(train) [41][2500/3757] lr: 1.000e-03 eta: 17:02:12 time: 0.250 data_time: 0.023 memory: 6404 grad_norm: 4.8011 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3913 loss: 1.3913 2022/06/30 02:39:33 - mmengine - INFO - Epoch(train) [41][2520/3757] lr: 1.000e-03 eta: 17:02:06 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.2715 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4786 loss: 1.4786 2022/06/30 02:39:39 - mmengine - INFO - Epoch(train) [41][2540/3757] lr: 1.000e-03 eta: 17:02:00 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 6.1351 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3163 loss: 1.3163 2022/06/30 02:39:45 - mmengine - INFO - Epoch(train) [41][2560/3757] lr: 1.000e-03 eta: 17:01:55 time: 0.254 data_time: 0.020 memory: 6404 grad_norm: 5.8093 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2548 loss: 1.2548 2022/06/30 02:39:50 - mmengine - INFO - Epoch(train) [41][2580/3757] lr: 1.000e-03 eta: 17:01:50 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.2408 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7346 loss: 1.7346 2022/06/30 02:39:55 - mmengine - INFO - Epoch(train) [41][2600/3757] lr: 1.000e-03 eta: 17:01:44 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 6.1982 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4911 loss: 1.4911 2022/06/30 02:40:01 - mmengine - INFO - Epoch(train) [41][2620/3757] lr: 1.000e-03 eta: 17:01:38 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.1972 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3704 loss: 1.3704 2022/06/30 02:40:06 - mmengine - INFO - Epoch(train) [41][2640/3757] lr: 1.000e-03 eta: 17:01:32 time: 0.271 data_time: 0.008 memory: 6404 grad_norm: 5.9517 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4989 loss: 1.4989 2022/06/30 02:40:12 - mmengine - INFO - Epoch(train) [41][2660/3757] lr: 1.000e-03 eta: 17:01:27 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.2791 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4504 loss: 1.4504 2022/06/30 02:40:18 - mmengine - INFO - Epoch(train) [41][2680/3757] lr: 1.000e-03 eta: 17:01:22 time: 0.260 data_time: 0.012 memory: 6404 grad_norm: 5.1881 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2222 loss: 2.2222 2022/06/30 02:40:23 - mmengine - INFO - Epoch(train) [41][2700/3757] lr: 1.000e-03 eta: 17:01:16 time: 0.293 data_time: 0.007 memory: 6404 grad_norm: 5.1700 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3843 loss: 1.3843 2022/06/30 02:40:29 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 02:40:29 - mmengine - INFO - Epoch(train) [41][2720/3757] lr: 1.000e-03 eta: 17:01:11 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 5.0783 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6864 loss: 1.6864 2022/06/30 02:40:35 - mmengine - INFO - Epoch(train) [41][2740/3757] lr: 1.000e-03 eta: 17:01:06 time: 0.250 data_time: 0.015 memory: 6404 grad_norm: 4.7075 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7171 loss: 1.7171 2022/06/30 02:40:41 - mmengine - INFO - Epoch(train) [41][2760/3757] lr: 1.000e-03 eta: 17:01:01 time: 0.797 data_time: 0.010 memory: 6404 grad_norm: 5.3760 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4498 loss: 1.4498 2022/06/30 02:40:46 - mmengine - INFO - Epoch(train) [41][2780/3757] lr: 1.000e-03 eta: 17:00:56 time: 0.254 data_time: 0.015 memory: 6404 grad_norm: 4.9549 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5458 loss: 1.5458 2022/06/30 02:40:52 - mmengine - INFO - Epoch(train) [41][2800/3757] lr: 1.000e-03 eta: 17:00:50 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 5.7452 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.3681 loss: 1.3681 2022/06/30 02:40:57 - mmengine - INFO - Epoch(train) [41][2820/3757] lr: 1.000e-03 eta: 17:00:44 time: 0.263 data_time: 0.010 memory: 6404 grad_norm: 5.4228 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0326 loss: 1.0326 2022/06/30 02:41:02 - mmengine - INFO - Epoch(train) [41][2840/3757] lr: 1.000e-03 eta: 17:00:38 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 4.4232 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4978 loss: 1.4978 2022/06/30 02:41:07 - mmengine - INFO - Epoch(train) [41][2860/3757] lr: 1.000e-03 eta: 17:00:33 time: 0.245 data_time: 0.042 memory: 6404 grad_norm: 6.2845 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8026 loss: 1.8026 2022/06/30 02:41:12 - mmengine - INFO - Epoch(train) [41][2880/3757] lr: 1.000e-03 eta: 17:00:26 time: 0.246 data_time: 0.013 memory: 6404 grad_norm: 5.5881 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7631 loss: 1.7631 2022/06/30 02:41:17 - mmengine - INFO - Epoch(train) [41][2900/3757] lr: 1.000e-03 eta: 17:00:20 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 5.3431 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.4332 loss: 1.4332 2022/06/30 02:41:23 - mmengine - INFO - Epoch(train) [41][2920/3757] lr: 1.000e-03 eta: 17:00:15 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 5.0187 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5509 loss: 1.5509 2022/06/30 02:41:29 - mmengine - INFO - Epoch(train) [41][2940/3757] lr: 1.000e-03 eta: 17:00:10 time: 0.237 data_time: 0.011 memory: 6404 grad_norm: 5.7096 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0432 loss: 1.0432 2022/06/30 02:41:35 - mmengine - INFO - Epoch(train) [41][2960/3757] lr: 1.000e-03 eta: 17:00:05 time: 0.714 data_time: 0.008 memory: 6404 grad_norm: 5.1129 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2321 loss: 1.2321 2022/06/30 02:41:40 - mmengine - INFO - Epoch(train) [41][2980/3757] lr: 1.000e-03 eta: 16:59:59 time: 0.252 data_time: 0.015 memory: 6404 grad_norm: 4.9123 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4241 loss: 1.4241 2022/06/30 02:41:45 - mmengine - INFO - Epoch(train) [41][3000/3757] lr: 1.000e-03 eta: 16:59:53 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 5.4786 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9736 loss: 1.9736 2022/06/30 02:41:51 - mmengine - INFO - Epoch(train) [41][3020/3757] lr: 1.000e-03 eta: 16:59:49 time: 0.282 data_time: 0.011 memory: 6404 grad_norm: 4.8072 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7994 loss: 1.7994 2022/06/30 02:41:57 - mmengine - INFO - Epoch(train) [41][3040/3757] lr: 1.000e-03 eta: 16:59:43 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 6.0649 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3726 loss: 1.3726 2022/06/30 02:42:02 - mmengine - INFO - Epoch(train) [41][3060/3757] lr: 1.000e-03 eta: 16:59:37 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.4716 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4629 loss: 1.4629 2022/06/30 02:42:08 - mmengine - INFO - Epoch(train) [41][3080/3757] lr: 1.000e-03 eta: 16:59:32 time: 0.241 data_time: 0.011 memory: 6404 grad_norm: 5.0190 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6196 loss: 1.6196 2022/06/30 02:42:13 - mmengine - INFO - Epoch(train) [41][3100/3757] lr: 1.000e-03 eta: 16:59:26 time: 0.283 data_time: 0.013 memory: 6404 grad_norm: 5.0267 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6211 loss: 1.6211 2022/06/30 02:42:18 - mmengine - INFO - Epoch(train) [41][3120/3757] lr: 1.000e-03 eta: 16:59:20 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 5.9115 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0545 loss: 1.0545 2022/06/30 02:42:24 - mmengine - INFO - Epoch(train) [41][3140/3757] lr: 1.000e-03 eta: 16:59:15 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.7845 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4574 loss: 1.4574 2022/06/30 02:42:29 - mmengine - INFO - Epoch(train) [41][3160/3757] lr: 1.000e-03 eta: 16:59:09 time: 0.329 data_time: 0.009 memory: 6404 grad_norm: 6.4993 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2904 loss: 1.2904 2022/06/30 02:42:35 - mmengine - INFO - Epoch(train) [41][3180/3757] lr: 1.000e-03 eta: 16:59:03 time: 0.236 data_time: 0.006 memory: 6404 grad_norm: 5.7788 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4134 loss: 1.4134 2022/06/30 02:42:41 - mmengine - INFO - Epoch(train) [41][3200/3757] lr: 1.000e-03 eta: 16:58:59 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 5.2751 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3295 loss: 1.3295 2022/06/30 02:42:46 - mmengine - INFO - Epoch(train) [41][3220/3757] lr: 1.000e-03 eta: 16:58:53 time: 0.275 data_time: 0.006 memory: 6404 grad_norm: 6.4236 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3572 loss: 1.3572 2022/06/30 02:42:51 - mmengine - INFO - Epoch(train) [41][3240/3757] lr: 1.000e-03 eta: 16:58:47 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 5.9068 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7299 loss: 1.7299 2022/06/30 02:42:57 - mmengine - INFO - Epoch(train) [41][3260/3757] lr: 1.000e-03 eta: 16:58:41 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 6.2530 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3551 loss: 1.3551 2022/06/30 02:43:02 - mmengine - INFO - Epoch(train) [41][3280/3757] lr: 1.000e-03 eta: 16:58:36 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 4.6628 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4270 loss: 1.4270 2022/06/30 02:43:08 - mmengine - INFO - Epoch(train) [41][3300/3757] lr: 1.000e-03 eta: 16:58:30 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 6.1966 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1405 loss: 1.1405 2022/06/30 02:43:14 - mmengine - INFO - Epoch(train) [41][3320/3757] lr: 1.000e-03 eta: 16:58:25 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 5.6043 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8010 loss: 1.8010 2022/06/30 02:43:19 - mmengine - INFO - Epoch(train) [41][3340/3757] lr: 1.000e-03 eta: 16:58:20 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.0863 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5898 loss: 1.5898 2022/06/30 02:43:25 - mmengine - INFO - Epoch(train) [41][3360/3757] lr: 1.000e-03 eta: 16:58:15 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 6.0919 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3798 loss: 1.3798 2022/06/30 02:43:31 - mmengine - INFO - Epoch(train) [41][3380/3757] lr: 1.000e-03 eta: 16:58:10 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.8903 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6896 loss: 1.6896 2022/06/30 02:43:36 - mmengine - INFO - Epoch(train) [41][3400/3757] lr: 1.000e-03 eta: 16:58:04 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 5.7424 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2615 loss: 1.2615 2022/06/30 02:43:41 - mmengine - INFO - Epoch(train) [41][3420/3757] lr: 1.000e-03 eta: 16:57:58 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 5.4794 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5837 loss: 1.5837 2022/06/30 02:43:46 - mmengine - INFO - Epoch(train) [41][3440/3757] lr: 1.000e-03 eta: 16:57:52 time: 0.269 data_time: 0.008 memory: 6404 grad_norm: 4.5791 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4069 loss: 1.4069 2022/06/30 02:43:52 - mmengine - INFO - Epoch(train) [41][3460/3757] lr: 1.000e-03 eta: 16:57:46 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 5.7289 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6933 loss: 1.6933 2022/06/30 02:43:57 - mmengine - INFO - Epoch(train) [41][3480/3757] lr: 1.000e-03 eta: 16:57:40 time: 0.385 data_time: 0.125 memory: 6404 grad_norm: 5.4575 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4771 loss: 1.4771 2022/06/30 02:44:02 - mmengine - INFO - Epoch(train) [41][3500/3757] lr: 1.000e-03 eta: 16:57:35 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 6.5781 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3347 loss: 1.3347 2022/06/30 02:44:08 - mmengine - INFO - Epoch(train) [41][3520/3757] lr: 1.000e-03 eta: 16:57:30 time: 0.250 data_time: 0.022 memory: 6404 grad_norm: 5.7927 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7729 loss: 1.7729 2022/06/30 02:44:14 - mmengine - INFO - Epoch(train) [41][3540/3757] lr: 1.000e-03 eta: 16:57:24 time: 0.241 data_time: 0.007 memory: 6404 grad_norm: 5.6660 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1432 loss: 1.1432 2022/06/30 02:44:19 - mmengine - INFO - Epoch(train) [41][3560/3757] lr: 1.000e-03 eta: 16:57:19 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 6.0467 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5999 loss: 1.5999 2022/06/30 02:44:25 - mmengine - INFO - Epoch(train) [41][3580/3757] lr: 1.000e-03 eta: 16:57:13 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 5.2326 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7195 loss: 1.7195 2022/06/30 02:44:30 - mmengine - INFO - Epoch(train) [41][3600/3757] lr: 1.000e-03 eta: 16:57:07 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.1266 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4663 loss: 1.4663 2022/06/30 02:44:36 - mmengine - INFO - Epoch(train) [41][3620/3757] lr: 1.000e-03 eta: 16:57:02 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 5.5519 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6889 loss: 1.6889 2022/06/30 02:44:41 - mmengine - INFO - Epoch(train) [41][3640/3757] lr: 1.000e-03 eta: 16:56:56 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.4373 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7076 loss: 1.7076 2022/06/30 02:44:46 - mmengine - INFO - Epoch(train) [41][3660/3757] lr: 1.000e-03 eta: 16:56:50 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.1993 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4875 loss: 1.4875 2022/06/30 02:44:52 - mmengine - INFO - Epoch(train) [41][3680/3757] lr: 1.000e-03 eta: 16:56:46 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 5.5020 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2544 loss: 1.2544 2022/06/30 02:44:58 - mmengine - INFO - Epoch(train) [41][3700/3757] lr: 1.000e-03 eta: 16:56:40 time: 0.257 data_time: 0.070 memory: 6404 grad_norm: 6.7167 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9030 loss: 1.9030 2022/06/30 02:45:03 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 02:45:03 - mmengine - INFO - Epoch(train) [41][3720/3757] lr: 1.000e-03 eta: 16:56:34 time: 0.254 data_time: 0.016 memory: 6404 grad_norm: 6.0648 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2560 loss: 1.2560 2022/06/30 02:45:09 - mmengine - INFO - Epoch(train) [41][3740/3757] lr: 1.000e-03 eta: 16:56:29 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 5.1006 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3376 loss: 1.3376 2022/06/30 02:45:13 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 02:45:20 - mmengine - INFO - Epoch(val) [41][20/310] eta: 0:01:28 time: 0.098 data_time: 0.015 memory: 6404 2022/06/30 02:45:26 - mmengine - INFO - Epoch(val) [41][40/310] eta: 0:01:22 time: 0.460 data_time: 0.374 memory: 1479 2022/06/30 02:45:30 - mmengine - INFO - Epoch(val) [41][60/310] eta: 0:00:27 time: 0.090 data_time: 0.005 memory: 1479 2022/06/30 02:45:36 - mmengine - INFO - Epoch(val) [41][80/310] eta: 0:01:11 time: 0.097 data_time: 0.011 memory: 1479 2022/06/30 02:45:42 - mmengine - INFO - Epoch(val) [41][100/310] eta: 0:01:04 time: 1.015 data_time: 0.929 memory: 1479 2022/06/30 02:45:46 - mmengine - INFO - Epoch(val) [41][120/310] eta: 0:00:36 time: 0.090 data_time: 0.009 memory: 1479 2022/06/30 02:45:52 - mmengine - INFO - Epoch(val) [41][140/310] eta: 0:00:53 time: 0.084 data_time: 0.007 memory: 1479 2022/06/30 02:45:58 - mmengine - INFO - Epoch(val) [41][160/310] eta: 0:00:48 time: 2.124 data_time: 2.034 memory: 1479 2022/06/30 02:46:02 - mmengine - INFO - Epoch(val) [41][180/310] eta: 0:00:40 time: 0.086 data_time: 0.006 memory: 1479 2022/06/30 02:46:08 - mmengine - INFO - Epoch(val) [41][200/310] eta: 0:00:35 time: 0.082 data_time: 0.009 memory: 1479 2022/06/30 02:46:13 - mmengine - INFO - Epoch(val) [41][220/310] eta: 0:00:23 time: 0.622 data_time: 0.536 memory: 1479 2022/06/30 02:46:17 - mmengine - INFO - Epoch(val) [41][240/310] eta: 0:00:20 time: 0.080 data_time: 0.006 memory: 1479 2022/06/30 02:46:23 - mmengine - INFO - Epoch(val) [41][260/310] eta: 0:00:15 time: 0.099 data_time: 0.011 memory: 1479 2022/06/30 02:46:29 - mmengine - INFO - Epoch(val) [41][280/310] eta: 0:00:08 time: 1.050 data_time: 0.961 memory: 1479 2022/06/30 02:46:33 - mmengine - INFO - Epoch(val) [41][300/310] eta: 0:00:02 time: 0.087 data_time: 0.006 memory: 1479 2022/06/30 02:46:37 - mmengine - INFO - Epoch(val) [41][310/310] acc/top1: 0.6414 acc/top5: 0.8545 acc/mean1: 0.6413 2022/06/30 02:46:46 - mmengine - INFO - Epoch(train) [42][20/3757] lr: 1.000e-03 eta: 16:56:20 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.8045 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7064 loss: 1.7064 2022/06/30 02:46:52 - mmengine - INFO - Epoch(train) [42][40/3757] lr: 1.000e-03 eta: 16:56:15 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 5.0102 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7340 loss: 1.7340 2022/06/30 02:46:57 - mmengine - INFO - Epoch(train) [42][60/3757] lr: 1.000e-03 eta: 16:56:09 time: 0.268 data_time: 0.008 memory: 6404 grad_norm: 5.6940 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6333 loss: 1.6333 2022/06/30 02:47:03 - mmengine - INFO - Epoch(train) [42][80/3757] lr: 1.000e-03 eta: 16:56:04 time: 0.260 data_time: 0.006 memory: 6404 grad_norm: 6.2555 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7943 loss: 1.7943 2022/06/30 02:47:08 - mmengine - INFO - Epoch(train) [42][100/3757] lr: 1.000e-03 eta: 16:55:59 time: 0.271 data_time: 0.020 memory: 6404 grad_norm: 6.0290 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7422 loss: 1.7422 2022/06/30 02:47:14 - mmengine - INFO - Epoch(train) [42][120/3757] lr: 1.000e-03 eta: 16:55:53 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.4498 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4081 loss: 1.4081 2022/06/30 02:47:19 - mmengine - INFO - Epoch(train) [42][140/3757] lr: 1.000e-03 eta: 16:55:48 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.4505 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6995 loss: 1.6995 2022/06/30 02:47:25 - mmengine - INFO - Epoch(train) [42][160/3757] lr: 1.000e-03 eta: 16:55:43 time: 0.275 data_time: 0.023 memory: 6404 grad_norm: 6.6696 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3302 loss: 1.3302 2022/06/30 02:47:31 - mmengine - INFO - Epoch(train) [42][180/3757] lr: 1.000e-03 eta: 16:55:37 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.9803 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9191 loss: 1.9191 2022/06/30 02:47:36 - mmengine - INFO - Epoch(train) [42][200/3757] lr: 1.000e-03 eta: 16:55:31 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 5.1918 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8029 loss: 1.8029 2022/06/30 02:47:41 - mmengine - INFO - Epoch(train) [42][220/3757] lr: 1.000e-03 eta: 16:55:26 time: 0.271 data_time: 0.018 memory: 6404 grad_norm: 5.6439 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3197 loss: 1.3197 2022/06/30 02:47:47 - mmengine - INFO - Epoch(train) [42][240/3757] lr: 1.000e-03 eta: 16:55:20 time: 0.248 data_time: 0.013 memory: 6404 grad_norm: 4.8310 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3127 loss: 2.3127 2022/06/30 02:47:53 - mmengine - INFO - Epoch(train) [42][260/3757] lr: 1.000e-03 eta: 16:55:15 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 5.8159 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4846 loss: 1.4846 2022/06/30 02:47:58 - mmengine - INFO - Epoch(train) [42][280/3757] lr: 1.000e-03 eta: 16:55:09 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.4302 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7610 loss: 1.7610 2022/06/30 02:48:03 - mmengine - INFO - Epoch(train) [42][300/3757] lr: 1.000e-03 eta: 16:55:03 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.0830 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8460 loss: 1.8460 2022/06/30 02:48:09 - mmengine - INFO - Epoch(train) [42][320/3757] lr: 1.000e-03 eta: 16:54:57 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 6.8080 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5633 loss: 1.5633 2022/06/30 02:48:14 - mmengine - INFO - Epoch(train) [42][340/3757] lr: 1.000e-03 eta: 16:54:52 time: 0.275 data_time: 0.007 memory: 6404 grad_norm: 5.5761 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5833 loss: 1.5833 2022/06/30 02:48:20 - mmengine - INFO - Epoch(train) [42][360/3757] lr: 1.000e-03 eta: 16:54:47 time: 0.249 data_time: 0.062 memory: 6404 grad_norm: 6.6746 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8765 loss: 1.8765 2022/06/30 02:48:25 - mmengine - INFO - Epoch(train) [42][380/3757] lr: 1.000e-03 eta: 16:54:41 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.8249 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8421 loss: 1.8421 2022/06/30 02:48:31 - mmengine - INFO - Epoch(train) [42][400/3757] lr: 1.000e-03 eta: 16:54:36 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 5.6793 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6292 loss: 1.6292 2022/06/30 02:48:36 - mmengine - INFO - Epoch(train) [42][420/3757] lr: 1.000e-03 eta: 16:54:30 time: 0.270 data_time: 0.016 memory: 6404 grad_norm: 5.8692 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9005 loss: 1.9005 2022/06/30 02:48:41 - mmengine - INFO - Epoch(train) [42][440/3757] lr: 1.000e-03 eta: 16:54:24 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 4.4528 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4130 loss: 1.4130 2022/06/30 02:48:47 - mmengine - INFO - Epoch(train) [42][460/3757] lr: 1.000e-03 eta: 16:54:19 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 4.9467 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3353 loss: 1.3353 2022/06/30 02:48:52 - mmengine - INFO - Epoch(train) [42][480/3757] lr: 1.000e-03 eta: 16:54:13 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 6.5686 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9528 loss: 1.9528 2022/06/30 02:48:58 - mmengine - INFO - Epoch(train) [42][500/3757] lr: 1.000e-03 eta: 16:54:07 time: 0.399 data_time: 0.007 memory: 6404 grad_norm: 6.0967 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6627 loss: 1.6627 2022/06/30 02:49:03 - mmengine - INFO - Epoch(train) [42][520/3757] lr: 1.000e-03 eta: 16:54:01 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 5.7535 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6003 loss: 1.6003 2022/06/30 02:49:08 - mmengine - INFO - Epoch(train) [42][540/3757] lr: 1.000e-03 eta: 16:53:56 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 5.0689 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2729 loss: 1.2729 2022/06/30 02:49:14 - mmengine - INFO - Epoch(train) [42][560/3757] lr: 1.000e-03 eta: 16:53:50 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 5.9560 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3659 loss: 1.3659 2022/06/30 02:49:19 - mmengine - INFO - Epoch(train) [42][580/3757] lr: 1.000e-03 eta: 16:53:44 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 5.2248 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4338 loss: 1.4338 2022/06/30 02:49:24 - mmengine - INFO - Epoch(train) [42][600/3757] lr: 1.000e-03 eta: 16:53:38 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 4.9346 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4886 loss: 1.4886 2022/06/30 02:49:30 - mmengine - INFO - Epoch(train) [42][620/3757] lr: 1.000e-03 eta: 16:53:33 time: 0.256 data_time: 0.023 memory: 6404 grad_norm: 5.3123 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9725 loss: 1.9725 2022/06/30 02:49:35 - mmengine - INFO - Epoch(train) [42][640/3757] lr: 1.000e-03 eta: 16:53:27 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.2413 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7254 loss: 1.7254 2022/06/30 02:49:41 - mmengine - INFO - Epoch(train) [42][660/3757] lr: 1.000e-03 eta: 16:53:22 time: 0.252 data_time: 0.015 memory: 6404 grad_norm: 6.3295 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1991 loss: 1.1991 2022/06/30 02:49:46 - mmengine - INFO - Epoch(train) [42][680/3757] lr: 1.000e-03 eta: 16:53:16 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 6.4529 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6324 loss: 1.6324 2022/06/30 02:49:52 - mmengine - INFO - Epoch(train) [42][700/3757] lr: 1.000e-03 eta: 16:53:11 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 4.8347 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6439 loss: 1.6439 2022/06/30 02:49:57 - mmengine - INFO - Epoch(train) [42][720/3757] lr: 1.000e-03 eta: 16:53:05 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 5.0303 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5545 loss: 1.5545 2022/06/30 02:50:03 - mmengine - INFO - Epoch(train) [42][740/3757] lr: 1.000e-03 eta: 16:52:59 time: 0.276 data_time: 0.013 memory: 6404 grad_norm: 5.7121 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5795 loss: 1.5795 2022/06/30 02:50:08 - mmengine - INFO - Epoch(train) [42][760/3757] lr: 1.000e-03 eta: 16:52:54 time: 0.424 data_time: 0.007 memory: 6404 grad_norm: 5.8345 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3229 loss: 1.3229 2022/06/30 02:50:14 - mmengine - INFO - Epoch(train) [42][780/3757] lr: 1.000e-03 eta: 16:52:48 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.5368 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3745 loss: 1.3745 2022/06/30 02:50:19 - mmengine - INFO - Epoch(train) [42][800/3757] lr: 1.000e-03 eta: 16:52:43 time: 0.282 data_time: 0.019 memory: 6404 grad_norm: 5.8668 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6648 loss: 1.6648 2022/06/30 02:50:25 - mmengine - INFO - Epoch(train) [42][820/3757] lr: 1.000e-03 eta: 16:52:38 time: 0.274 data_time: 0.007 memory: 6404 grad_norm: 5.2225 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4890 loss: 1.4890 2022/06/30 02:50:31 - mmengine - INFO - Epoch(train) [42][840/3757] lr: 1.000e-03 eta: 16:52:33 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.4219 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2444 loss: 1.2444 2022/06/30 02:50:36 - mmengine - INFO - Epoch(train) [42][860/3757] lr: 1.000e-03 eta: 16:52:27 time: 0.684 data_time: 0.010 memory: 6404 grad_norm: 5.6840 top1_acc: 0.0000 top5_acc: 0.8750 loss_cls: 1.5237 loss: 1.5237 2022/06/30 02:50:42 - mmengine - INFO - Epoch(train) [42][880/3757] lr: 1.000e-03 eta: 16:52:21 time: 0.270 data_time: 0.016 memory: 6404 grad_norm: 5.5056 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2436 loss: 1.2436 2022/06/30 02:50:47 - mmengine - INFO - Epoch(train) [42][900/3757] lr: 1.000e-03 eta: 16:52:16 time: 0.259 data_time: 0.017 memory: 6404 grad_norm: 6.4020 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5014 loss: 1.5014 2022/06/30 02:50:52 - mmengine - INFO - Epoch(train) [42][920/3757] lr: 1.000e-03 eta: 16:52:10 time: 0.279 data_time: 0.007 memory: 6404 grad_norm: 6.2162 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4745 loss: 1.4745 2022/06/30 02:50:58 - mmengine - INFO - Epoch(train) [42][940/3757] lr: 1.000e-03 eta: 16:52:04 time: 0.323 data_time: 0.013 memory: 6404 grad_norm: 5.3791 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6183 loss: 1.6183 2022/06/30 02:51:03 - mmengine - INFO - Epoch(train) [42][960/3757] lr: 1.000e-03 eta: 16:51:58 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 5.5592 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8869 loss: 0.8869 2022/06/30 02:51:04 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 02:51:09 - mmengine - INFO - Epoch(train) [42][980/3757] lr: 1.000e-03 eta: 16:51:53 time: 0.293 data_time: 0.018 memory: 6404 grad_norm: 6.0165 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4812 loss: 1.4812 2022/06/30 02:51:14 - mmengine - INFO - Epoch(train) [42][1000/3757] lr: 1.000e-03 eta: 16:51:47 time: 0.267 data_time: 0.011 memory: 6404 grad_norm: 4.8652 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2891 loss: 1.2891 2022/06/30 02:51:19 - mmengine - INFO - Epoch(train) [42][1020/3757] lr: 1.000e-03 eta: 16:51:41 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 4.6820 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2658 loss: 1.2658 2022/06/30 02:51:25 - mmengine - INFO - Epoch(train) [42][1040/3757] lr: 1.000e-03 eta: 16:51:36 time: 0.301 data_time: 0.011 memory: 6404 grad_norm: 6.3678 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4810 loss: 1.4810 2022/06/30 02:51:30 - mmengine - INFO - Epoch(train) [42][1060/3757] lr: 1.000e-03 eta: 16:51:30 time: 0.388 data_time: 0.020 memory: 6404 grad_norm: 5.4074 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5384 loss: 1.5384 2022/06/30 02:51:35 - mmengine - INFO - Epoch(train) [42][1080/3757] lr: 1.000e-03 eta: 16:51:25 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.1050 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5554 loss: 1.5554 2022/06/30 02:51:41 - mmengine - INFO - Epoch(train) [42][1100/3757] lr: 1.000e-03 eta: 16:51:19 time: 0.251 data_time: 0.014 memory: 6404 grad_norm: 4.8310 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7588 loss: 1.7588 2022/06/30 02:51:47 - mmengine - INFO - Epoch(train) [42][1120/3757] lr: 1.000e-03 eta: 16:51:14 time: 0.250 data_time: 0.014 memory: 6404 grad_norm: 6.2053 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3895 loss: 1.3895 2022/06/30 02:51:52 - mmengine - INFO - Epoch(train) [42][1140/3757] lr: 1.000e-03 eta: 16:51:08 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.3867 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2754 loss: 1.2754 2022/06/30 02:51:57 - mmengine - INFO - Epoch(train) [42][1160/3757] lr: 1.000e-03 eta: 16:51:02 time: 0.248 data_time: 0.013 memory: 6404 grad_norm: 5.7456 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3554 loss: 1.3554 2022/06/30 02:52:03 - mmengine - INFO - Epoch(train) [42][1180/3757] lr: 1.000e-03 eta: 16:50:56 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 5.9273 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4869 loss: 1.4869 2022/06/30 02:52:08 - mmengine - INFO - Epoch(train) [42][1200/3757] lr: 1.000e-03 eta: 16:50:51 time: 0.355 data_time: 0.007 memory: 6404 grad_norm: 4.8140 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5931 loss: 1.5931 2022/06/30 02:52:14 - mmengine - INFO - Epoch(train) [42][1220/3757] lr: 1.000e-03 eta: 16:50:46 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 4.9166 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3010 loss: 1.3010 2022/06/30 02:52:19 - mmengine - INFO - Epoch(train) [42][1240/3757] lr: 1.000e-03 eta: 16:50:40 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.4606 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6315 loss: 1.6315 2022/06/30 02:52:24 - mmengine - INFO - Epoch(train) [42][1260/3757] lr: 1.000e-03 eta: 16:50:34 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 4.9195 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6390 loss: 1.6390 2022/06/30 02:52:30 - mmengine - INFO - Epoch(train) [42][1280/3757] lr: 1.000e-03 eta: 16:50:29 time: 0.271 data_time: 0.011 memory: 6404 grad_norm: 5.3639 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3430 loss: 1.3430 2022/06/30 02:52:35 - mmengine - INFO - Epoch(train) [42][1300/3757] lr: 1.000e-03 eta: 16:50:23 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.5164 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5162 loss: 1.5162 2022/06/30 02:52:42 - mmengine - INFO - Epoch(train) [42][1320/3757] lr: 1.000e-03 eta: 16:50:18 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 5.1915 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5096 loss: 1.5096 2022/06/30 02:52:47 - mmengine - INFO - Epoch(train) [42][1340/3757] lr: 1.000e-03 eta: 16:50:13 time: 0.262 data_time: 0.013 memory: 6404 grad_norm: 6.1928 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2806 loss: 1.2806 2022/06/30 02:52:52 - mmengine - INFO - Epoch(train) [42][1360/3757] lr: 1.000e-03 eta: 16:50:07 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 6.3037 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2564 loss: 1.2564 2022/06/30 02:52:58 - mmengine - INFO - Epoch(train) [42][1380/3757] lr: 1.000e-03 eta: 16:50:01 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 6.0021 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2469 loss: 1.2469 2022/06/30 02:53:03 - mmengine - INFO - Epoch(train) [42][1400/3757] lr: 1.000e-03 eta: 16:49:56 time: 0.367 data_time: 0.010 memory: 6404 grad_norm: 5.1021 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5192 loss: 1.5192 2022/06/30 02:53:09 - mmengine - INFO - Epoch(train) [42][1420/3757] lr: 1.000e-03 eta: 16:49:50 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 4.3673 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6678 loss: 1.6678 2022/06/30 02:53:14 - mmengine - INFO - Epoch(train) [42][1440/3757] lr: 1.000e-03 eta: 16:49:44 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.1979 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1511 loss: 1.1511 2022/06/30 02:53:20 - mmengine - INFO - Epoch(train) [42][1460/3757] lr: 1.000e-03 eta: 16:49:39 time: 0.284 data_time: 0.012 memory: 6404 grad_norm: 3.6710 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1159 loss: 1.1159 2022/06/30 02:53:25 - mmengine - INFO - Epoch(train) [42][1480/3757] lr: 1.000e-03 eta: 16:49:33 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.4215 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3627 loss: 1.3627 2022/06/30 02:53:31 - mmengine - INFO - Epoch(train) [42][1500/3757] lr: 1.000e-03 eta: 16:49:28 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 4.8326 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3908 loss: 1.3908 2022/06/30 02:53:36 - mmengine - INFO - Epoch(train) [42][1520/3757] lr: 1.000e-03 eta: 16:49:22 time: 0.271 data_time: 0.014 memory: 6404 grad_norm: 6.0632 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3030 loss: 1.3030 2022/06/30 02:53:41 - mmengine - INFO - Epoch(train) [42][1540/3757] lr: 1.000e-03 eta: 16:49:16 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 5.2999 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4014 loss: 1.4014 2022/06/30 02:53:46 - mmengine - INFO - Epoch(train) [42][1560/3757] lr: 1.000e-03 eta: 16:49:11 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 4.7226 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5315 loss: 1.5315 2022/06/30 02:53:52 - mmengine - INFO - Epoch(train) [42][1580/3757] lr: 1.000e-03 eta: 16:49:05 time: 0.250 data_time: 0.018 memory: 6404 grad_norm: 5.4985 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4678 loss: 1.4678 2022/06/30 02:53:57 - mmengine - INFO - Epoch(train) [42][1600/3757] lr: 1.000e-03 eta: 16:48:59 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.4258 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2873 loss: 1.2873 2022/06/30 02:54:03 - mmengine - INFO - Epoch(train) [42][1620/3757] lr: 1.000e-03 eta: 16:48:54 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.7143 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6889 loss: 1.6889 2022/06/30 02:54:08 - mmengine - INFO - Epoch(train) [42][1640/3757] lr: 1.000e-03 eta: 16:48:48 time: 0.266 data_time: 0.013 memory: 6404 grad_norm: 6.5332 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7149 loss: 1.7149 2022/06/30 02:54:14 - mmengine - INFO - Epoch(train) [42][1660/3757] lr: 1.000e-03 eta: 16:48:43 time: 0.280 data_time: 0.006 memory: 6404 grad_norm: 5.0184 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2165 loss: 1.2165 2022/06/30 02:54:20 - mmengine - INFO - Epoch(train) [42][1680/3757] lr: 1.000e-03 eta: 16:48:39 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.1689 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4393 loss: 1.4393 2022/06/30 02:54:25 - mmengine - INFO - Epoch(train) [42][1700/3757] lr: 1.000e-03 eta: 16:48:33 time: 0.248 data_time: 0.016 memory: 6404 grad_norm: 5.7428 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5184 loss: 1.5184 2022/06/30 02:54:31 - mmengine - INFO - Epoch(train) [42][1720/3757] lr: 1.000e-03 eta: 16:48:27 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 5.9078 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6264 loss: 1.6264 2022/06/30 02:54:37 - mmengine - INFO - Epoch(train) [42][1740/3757] lr: 1.000e-03 eta: 16:48:22 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 6.5526 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7209 loss: 1.7209 2022/06/30 02:54:42 - mmengine - INFO - Epoch(train) [42][1760/3757] lr: 1.000e-03 eta: 16:48:16 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.8742 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3312 loss: 1.3312 2022/06/30 02:54:48 - mmengine - INFO - Epoch(train) [42][1780/3757] lr: 1.000e-03 eta: 16:48:12 time: 0.759 data_time: 0.006 memory: 6404 grad_norm: 4.8828 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3126 loss: 1.3126 2022/06/30 02:54:54 - mmengine - INFO - Epoch(train) [42][1800/3757] lr: 1.000e-03 eta: 16:48:06 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 6.3204 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7134 loss: 1.7134 2022/06/30 02:54:59 - mmengine - INFO - Epoch(train) [42][1820/3757] lr: 1.000e-03 eta: 16:48:00 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.1621 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2212 loss: 1.2212 2022/06/30 02:55:04 - mmengine - INFO - Epoch(train) [42][1840/3757] lr: 1.000e-03 eta: 16:47:54 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.7440 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9606 loss: 1.9606 2022/06/30 02:55:09 - mmengine - INFO - Epoch(train) [42][1860/3757] lr: 1.000e-03 eta: 16:47:48 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 6.2845 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6520 loss: 1.6520 2022/06/30 02:55:15 - mmengine - INFO - Epoch(train) [42][1880/3757] lr: 1.000e-03 eta: 16:47:42 time: 0.242 data_time: 0.014 memory: 6404 grad_norm: 6.2249 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5604 loss: 1.5604 2022/06/30 02:55:20 - mmengine - INFO - Epoch(train) [42][1900/3757] lr: 1.000e-03 eta: 16:47:37 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.3837 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1328 loss: 1.1328 2022/06/30 02:55:26 - mmengine - INFO - Epoch(train) [42][1920/3757] lr: 1.000e-03 eta: 16:47:31 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 4.7047 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4086 loss: 1.4086 2022/06/30 02:55:31 - mmengine - INFO - Epoch(train) [42][1940/3757] lr: 1.000e-03 eta: 16:47:26 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 6.3254 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3158 loss: 1.3158 2022/06/30 02:55:37 - mmengine - INFO - Epoch(train) [42][1960/3757] lr: 1.000e-03 eta: 16:47:21 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.6751 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4862 loss: 1.4862 2022/06/30 02:55:37 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 02:55:42 - mmengine - INFO - Epoch(train) [42][1980/3757] lr: 1.000e-03 eta: 16:47:15 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.8289 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4575 loss: 1.4575 2022/06/30 02:55:48 - mmengine - INFO - Epoch(train) [42][2000/3757] lr: 1.000e-03 eta: 16:47:10 time: 0.251 data_time: 0.020 memory: 6404 grad_norm: 6.0612 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5849 loss: 1.5849 2022/06/30 02:55:54 - mmengine - INFO - Epoch(train) [42][2020/3757] lr: 1.000e-03 eta: 16:47:05 time: 0.245 data_time: 0.017 memory: 6404 grad_norm: 5.3372 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9869 loss: 1.9869 2022/06/30 02:55:59 - mmengine - INFO - Epoch(train) [42][2040/3757] lr: 1.000e-03 eta: 16:46:59 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 5.6162 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5124 loss: 1.5124 2022/06/30 02:56:05 - mmengine - INFO - Epoch(train) [42][2060/3757] lr: 1.000e-03 eta: 16:46:54 time: 0.257 data_time: 0.024 memory: 6404 grad_norm: 5.3457 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3934 loss: 1.3934 2022/06/30 02:56:11 - mmengine - INFO - Epoch(train) [42][2080/3757] lr: 1.000e-03 eta: 16:46:49 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.5338 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3792 loss: 1.3792 2022/06/30 02:56:16 - mmengine - INFO - Epoch(train) [42][2100/3757] lr: 1.000e-03 eta: 16:46:43 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 5.6017 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1720 loss: 1.1720 2022/06/30 02:56:21 - mmengine - INFO - Epoch(train) [42][2120/3757] lr: 1.000e-03 eta: 16:46:37 time: 0.329 data_time: 0.018 memory: 6404 grad_norm: 5.5070 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7501 loss: 1.7501 2022/06/30 02:56:27 - mmengine - INFO - Epoch(train) [42][2140/3757] lr: 1.000e-03 eta: 16:46:32 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.2199 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5417 loss: 1.5417 2022/06/30 02:56:32 - mmengine - INFO - Epoch(train) [42][2160/3757] lr: 1.000e-03 eta: 16:46:26 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.8884 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6834 loss: 1.6834 2022/06/30 02:56:38 - mmengine - INFO - Epoch(train) [42][2180/3757] lr: 1.000e-03 eta: 16:46:21 time: 0.306 data_time: 0.094 memory: 6404 grad_norm: 6.0774 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4469 loss: 1.4469 2022/06/30 02:56:44 - mmengine - INFO - Epoch(train) [42][2200/3757] lr: 1.000e-03 eta: 16:46:16 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.1976 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3582 loss: 1.3582 2022/06/30 02:56:49 - mmengine - INFO - Epoch(train) [42][2220/3757] lr: 1.000e-03 eta: 16:46:10 time: 0.242 data_time: 0.008 memory: 6404 grad_norm: 6.8042 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6862 loss: 1.6862 2022/06/30 02:56:54 - mmengine - INFO - Epoch(train) [42][2240/3757] lr: 1.000e-03 eta: 16:46:04 time: 0.253 data_time: 0.023 memory: 6404 grad_norm: 5.3048 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3596 loss: 1.3596 2022/06/30 02:57:00 - mmengine - INFO - Epoch(train) [42][2260/3757] lr: 1.000e-03 eta: 16:45:59 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 5.1315 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3617 loss: 1.3617 2022/06/30 02:57:05 - mmengine - INFO - Epoch(train) [42][2280/3757] lr: 1.000e-03 eta: 16:45:53 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 5.3661 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6315 loss: 1.6315 2022/06/30 02:57:10 - mmengine - INFO - Epoch(train) [42][2300/3757] lr: 1.000e-03 eta: 16:45:47 time: 0.243 data_time: 0.019 memory: 6404 grad_norm: 5.3977 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3290 loss: 1.3290 2022/06/30 02:57:16 - mmengine - INFO - Epoch(train) [42][2320/3757] lr: 1.000e-03 eta: 16:45:41 time: 0.246 data_time: 0.032 memory: 6404 grad_norm: 6.2935 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6146 loss: 1.6146 2022/06/30 02:57:21 - mmengine - INFO - Epoch(train) [42][2340/3757] lr: 1.000e-03 eta: 16:45:36 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.1293 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5544 loss: 1.5544 2022/06/30 02:57:27 - mmengine - INFO - Epoch(train) [42][2360/3757] lr: 1.000e-03 eta: 16:45:30 time: 0.253 data_time: 0.016 memory: 6404 grad_norm: 5.6659 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5337 loss: 1.5337 2022/06/30 02:57:32 - mmengine - INFO - Epoch(train) [42][2380/3757] lr: 1.000e-03 eta: 16:45:25 time: 0.258 data_time: 0.020 memory: 6404 grad_norm: 6.1611 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3409 loss: 1.3409 2022/06/30 02:57:37 - mmengine - INFO - Epoch(train) [42][2400/3757] lr: 1.000e-03 eta: 16:45:19 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 5.1885 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3823 loss: 1.3823 2022/06/30 02:57:43 - mmengine - INFO - Epoch(train) [42][2420/3757] lr: 1.000e-03 eta: 16:45:13 time: 0.266 data_time: 0.015 memory: 6404 grad_norm: 5.8811 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3280 loss: 1.3280 2022/06/30 02:57:49 - mmengine - INFO - Epoch(train) [42][2440/3757] lr: 1.000e-03 eta: 16:45:08 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 5.0499 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4804 loss: 1.4804 2022/06/30 02:57:55 - mmengine - INFO - Epoch(train) [42][2460/3757] lr: 1.000e-03 eta: 16:45:04 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 4.6464 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5214 loss: 1.5214 2022/06/30 02:58:01 - mmengine - INFO - Epoch(train) [42][2480/3757] lr: 1.000e-03 eta: 16:44:58 time: 0.266 data_time: 0.032 memory: 6404 grad_norm: 5.7352 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6722 loss: 1.6722 2022/06/30 02:58:06 - mmengine - INFO - Epoch(train) [42][2500/3757] lr: 1.000e-03 eta: 16:44:53 time: 0.239 data_time: 0.012 memory: 6404 grad_norm: 4.5374 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7199 loss: 1.7199 2022/06/30 02:58:12 - mmengine - INFO - Epoch(train) [42][2520/3757] lr: 1.000e-03 eta: 16:44:48 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 5.7327 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2578 loss: 1.2578 2022/06/30 02:58:17 - mmengine - INFO - Epoch(train) [42][2540/3757] lr: 1.000e-03 eta: 16:44:42 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 4.9806 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2707 loss: 1.2707 2022/06/30 02:58:23 - mmengine - INFO - Epoch(train) [42][2560/3757] lr: 1.000e-03 eta: 16:44:37 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.6494 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5876 loss: 1.5876 2022/06/30 02:58:28 - mmengine - INFO - Epoch(train) [42][2580/3757] lr: 1.000e-03 eta: 16:44:31 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.2856 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5594 loss: 1.5594 2022/06/30 02:58:34 - mmengine - INFO - Epoch(train) [42][2600/3757] lr: 1.000e-03 eta: 16:44:25 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 4.6335 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4785 loss: 1.4785 2022/06/30 02:58:39 - mmengine - INFO - Epoch(train) [42][2620/3757] lr: 1.000e-03 eta: 16:44:19 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.4166 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2741 loss: 1.2741 2022/06/30 02:58:44 - mmengine - INFO - Epoch(train) [42][2640/3757] lr: 1.000e-03 eta: 16:44:13 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.1022 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5543 loss: 1.5543 2022/06/30 02:58:49 - mmengine - INFO - Epoch(train) [42][2660/3757] lr: 1.000e-03 eta: 16:44:07 time: 0.252 data_time: 0.015 memory: 6404 grad_norm: 5.4489 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3709 loss: 1.3709 2022/06/30 02:58:54 - mmengine - INFO - Epoch(train) [42][2680/3757] lr: 1.000e-03 eta: 16:44:01 time: 0.255 data_time: 0.020 memory: 6404 grad_norm: 6.0000 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7567 loss: 1.7567 2022/06/30 02:59:00 - mmengine - INFO - Epoch(train) [42][2700/3757] lr: 1.000e-03 eta: 16:43:56 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 6.7186 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6668 loss: 1.6668 2022/06/30 02:59:05 - mmengine - INFO - Epoch(train) [42][2720/3757] lr: 1.000e-03 eta: 16:43:50 time: 0.247 data_time: 0.017 memory: 6404 grad_norm: 5.7950 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4953 loss: 1.4953 2022/06/30 02:59:10 - mmengine - INFO - Epoch(train) [42][2740/3757] lr: 1.000e-03 eta: 16:43:44 time: 0.253 data_time: 0.017 memory: 6404 grad_norm: 5.6814 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4704 loss: 1.4704 2022/06/30 02:59:16 - mmengine - INFO - Epoch(train) [42][2760/3757] lr: 1.000e-03 eta: 16:43:39 time: 0.254 data_time: 0.016 memory: 6404 grad_norm: 5.0301 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4070 loss: 1.4070 2022/06/30 02:59:22 - mmengine - INFO - Epoch(train) [42][2780/3757] lr: 1.000e-03 eta: 16:43:33 time: 0.255 data_time: 0.023 memory: 6404 grad_norm: 6.3640 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3682 loss: 1.3682 2022/06/30 02:59:27 - mmengine - INFO - Epoch(train) [42][2800/3757] lr: 1.000e-03 eta: 16:43:28 time: 0.256 data_time: 0.023 memory: 6404 grad_norm: 6.7259 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2377 loss: 1.2377 2022/06/30 02:59:32 - mmengine - INFO - Epoch(train) [42][2820/3757] lr: 1.000e-03 eta: 16:43:22 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 5.4025 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3818 loss: 1.3818 2022/06/30 02:59:38 - mmengine - INFO - Epoch(train) [42][2840/3757] lr: 1.000e-03 eta: 16:43:16 time: 0.258 data_time: 0.048 memory: 6404 grad_norm: 5.4096 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3978 loss: 1.3978 2022/06/30 02:59:43 - mmengine - INFO - Epoch(train) [42][2860/3757] lr: 1.000e-03 eta: 16:43:11 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 5.7927 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5659 loss: 1.5659 2022/06/30 02:59:49 - mmengine - INFO - Epoch(train) [42][2880/3757] lr: 1.000e-03 eta: 16:43:05 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.8980 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4471 loss: 1.4471 2022/06/30 02:59:55 - mmengine - INFO - Epoch(train) [42][2900/3757] lr: 1.000e-03 eta: 16:43:00 time: 0.443 data_time: 0.256 memory: 6404 grad_norm: 5.9953 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6003 loss: 1.6003 2022/06/30 03:00:01 - mmengine - INFO - Epoch(train) [42][2920/3757] lr: 1.000e-03 eta: 16:42:55 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 5.5201 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3550 loss: 1.3550 2022/06/30 03:00:06 - mmengine - INFO - Epoch(train) [42][2940/3757] lr: 1.000e-03 eta: 16:42:49 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 6.5602 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2738 loss: 1.2738 2022/06/30 03:00:12 - mmengine - INFO - Epoch(train) [42][2960/3757] lr: 1.000e-03 eta: 16:42:44 time: 0.570 data_time: 0.381 memory: 6404 grad_norm: 6.2648 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3972 loss: 1.3972 2022/06/30 03:00:12 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 03:00:17 - mmengine - INFO - Epoch(train) [42][2980/3757] lr: 1.000e-03 eta: 16:42:38 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 6.7003 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3834 loss: 1.3834 2022/06/30 03:00:23 - mmengine - INFO - Epoch(train) [42][3000/3757] lr: 1.000e-03 eta: 16:42:33 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.0259 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3433 loss: 1.3433 2022/06/30 03:00:28 - mmengine - INFO - Epoch(train) [42][3020/3757] lr: 1.000e-03 eta: 16:42:28 time: 0.437 data_time: 0.249 memory: 6404 grad_norm: 5.9032 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2941 loss: 1.2941 2022/06/30 03:00:34 - mmengine - INFO - Epoch(train) [42][3040/3757] lr: 1.000e-03 eta: 16:42:23 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 5.3819 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5753 loss: 1.5753 2022/06/30 03:00:40 - mmengine - INFO - Epoch(train) [42][3060/3757] lr: 1.000e-03 eta: 16:42:18 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.5962 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4865 loss: 1.4865 2022/06/30 03:00:45 - mmengine - INFO - Epoch(train) [42][3080/3757] lr: 1.000e-03 eta: 16:42:11 time: 0.247 data_time: 0.034 memory: 6404 grad_norm: 5.6248 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2211 loss: 1.2211 2022/06/30 03:00:50 - mmengine - INFO - Epoch(train) [42][3100/3757] lr: 1.000e-03 eta: 16:42:06 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.9943 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3513 loss: 1.3513 2022/06/30 03:00:56 - mmengine - INFO - Epoch(train) [42][3120/3757] lr: 1.000e-03 eta: 16:42:00 time: 0.496 data_time: 0.007 memory: 6404 grad_norm: 6.4754 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8299 loss: 1.8299 2022/06/30 03:01:01 - mmengine - INFO - Epoch(train) [42][3140/3757] lr: 1.000e-03 eta: 16:41:55 time: 0.268 data_time: 0.064 memory: 6404 grad_norm: 5.8771 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3728 loss: 1.3728 2022/06/30 03:01:07 - mmengine - INFO - Epoch(train) [42][3160/3757] lr: 1.000e-03 eta: 16:41:49 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 7.3680 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3440 loss: 1.3440 2022/06/30 03:01:13 - mmengine - INFO - Epoch(train) [42][3180/3757] lr: 1.000e-03 eta: 16:41:45 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.9931 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5404 loss: 1.5404 2022/06/30 03:01:18 - mmengine - INFO - Epoch(train) [42][3200/3757] lr: 1.000e-03 eta: 16:41:39 time: 0.255 data_time: 0.024 memory: 6404 grad_norm: 7.3139 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4503 loss: 1.4503 2022/06/30 03:01:24 - mmengine - INFO - Epoch(train) [42][3220/3757] lr: 1.000e-03 eta: 16:41:33 time: 0.245 data_time: 0.019 memory: 6404 grad_norm: 4.8965 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0925 loss: 1.0925 2022/06/30 03:01:29 - mmengine - INFO - Epoch(train) [42][3240/3757] lr: 1.000e-03 eta: 16:41:27 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 6.2160 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2373 loss: 1.2373 2022/06/30 03:01:34 - mmengine - INFO - Epoch(train) [42][3260/3757] lr: 1.000e-03 eta: 16:41:21 time: 0.253 data_time: 0.061 memory: 6404 grad_norm: 6.0481 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8260 loss: 1.8260 2022/06/30 03:01:40 - mmengine - INFO - Epoch(train) [42][3280/3757] lr: 1.000e-03 eta: 16:41:17 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 6.6058 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3211 loss: 1.3211 2022/06/30 03:01:45 - mmengine - INFO - Epoch(train) [42][3300/3757] lr: 1.000e-03 eta: 16:41:11 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 5.5564 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2597 loss: 1.2597 2022/06/30 03:01:51 - mmengine - INFO - Epoch(train) [42][3320/3757] lr: 1.000e-03 eta: 16:41:05 time: 0.243 data_time: 0.013 memory: 6404 grad_norm: 6.3213 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9717 loss: 0.9717 2022/06/30 03:01:56 - mmengine - INFO - Epoch(train) [42][3340/3757] lr: 1.000e-03 eta: 16:40:59 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 6.0428 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9665 loss: 1.9665 2022/06/30 03:02:01 - mmengine - INFO - Epoch(train) [42][3360/3757] lr: 1.000e-03 eta: 16:40:53 time: 0.256 data_time: 0.025 memory: 6404 grad_norm: 5.2128 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6015 loss: 1.6015 2022/06/30 03:02:07 - mmengine - INFO - Epoch(train) [42][3380/3757] lr: 1.000e-03 eta: 16:40:48 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.1244 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4182 loss: 1.4182 2022/06/30 03:02:12 - mmengine - INFO - Epoch(train) [42][3400/3757] lr: 1.000e-03 eta: 16:40:43 time: 0.239 data_time: 0.038 memory: 6404 grad_norm: 5.9013 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4453 loss: 1.4453 2022/06/30 03:02:18 - mmengine - INFO - Epoch(train) [42][3420/3757] lr: 1.000e-03 eta: 16:40:37 time: 0.260 data_time: 0.027 memory: 6404 grad_norm: 5.3930 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4713 loss: 1.4713 2022/06/30 03:02:23 - mmengine - INFO - Epoch(train) [42][3440/3757] lr: 1.000e-03 eta: 16:40:31 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.3056 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4907 loss: 1.4907 2022/06/30 03:02:29 - mmengine - INFO - Epoch(train) [42][3460/3757] lr: 1.000e-03 eta: 16:40:27 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.8228 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3120 loss: 1.3120 2022/06/30 03:02:35 - mmengine - INFO - Epoch(train) [42][3480/3757] lr: 1.000e-03 eta: 16:40:21 time: 0.255 data_time: 0.050 memory: 6404 grad_norm: 5.4036 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7737 loss: 1.7737 2022/06/30 03:02:40 - mmengine - INFO - Epoch(train) [42][3500/3757] lr: 1.000e-03 eta: 16:40:15 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 6.0439 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6239 loss: 1.6239 2022/06/30 03:02:45 - mmengine - INFO - Epoch(train) [42][3520/3757] lr: 1.000e-03 eta: 16:40:09 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.2052 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6456 loss: 1.6456 2022/06/30 03:02:51 - mmengine - INFO - Epoch(train) [42][3540/3757] lr: 1.000e-03 eta: 16:40:04 time: 0.255 data_time: 0.068 memory: 6404 grad_norm: 4.7785 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6373 loss: 1.6373 2022/06/30 03:02:56 - mmengine - INFO - Epoch(train) [42][3560/3757] lr: 1.000e-03 eta: 16:39:58 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 6.5436 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0228 loss: 1.0228 2022/06/30 03:03:02 - mmengine - INFO - Epoch(train) [42][3580/3757] lr: 1.000e-03 eta: 16:39:53 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 5.2073 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2912 loss: 1.2912 2022/06/30 03:03:07 - mmengine - INFO - Epoch(train) [42][3600/3757] lr: 1.000e-03 eta: 16:39:47 time: 0.275 data_time: 0.043 memory: 6404 grad_norm: 6.0307 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5606 loss: 1.5606 2022/06/30 03:03:13 - mmengine - INFO - Epoch(train) [42][3620/3757] lr: 1.000e-03 eta: 16:39:41 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 6.5404 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3623 loss: 1.3623 2022/06/30 03:03:18 - mmengine - INFO - Epoch(train) [42][3640/3757] lr: 1.000e-03 eta: 16:39:36 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.0395 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0349 loss: 1.0349 2022/06/30 03:03:24 - mmengine - INFO - Epoch(train) [42][3660/3757] lr: 1.000e-03 eta: 16:39:31 time: 0.240 data_time: 0.052 memory: 6404 grad_norm: 4.5980 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9446 loss: 1.9446 2022/06/30 03:03:29 - mmengine - INFO - Epoch(train) [42][3680/3757] lr: 1.000e-03 eta: 16:39:25 time: 0.285 data_time: 0.071 memory: 6404 grad_norm: 6.3101 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7244 loss: 1.7244 2022/06/30 03:03:34 - mmengine - INFO - Epoch(train) [42][3700/3757] lr: 1.000e-03 eta: 16:39:19 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 6.1120 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6267 loss: 1.6267 2022/06/30 03:03:40 - mmengine - INFO - Epoch(train) [42][3720/3757] lr: 1.000e-03 eta: 16:39:13 time: 0.241 data_time: 0.020 memory: 6404 grad_norm: 5.9578 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7885 loss: 1.7885 2022/06/30 03:03:45 - mmengine - INFO - Epoch(train) [42][3740/3757] lr: 1.000e-03 eta: 16:39:08 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 6.1734 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4413 loss: 1.4413 2022/06/30 03:03:49 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 03:03:56 - mmengine - INFO - Epoch(val) [42][20/310] eta: 0:01:33 time: 0.109 data_time: 0.013 memory: 6404 2022/06/30 03:04:02 - mmengine - INFO - Epoch(val) [42][40/310] eta: 0:01:15 time: 0.088 data_time: 0.007 memory: 1479 2022/06/30 03:04:06 - mmengine - INFO - Epoch(val) [42][60/310] eta: 0:00:22 time: 0.094 data_time: 0.007 memory: 1479 2022/06/30 03:04:12 - mmengine - INFO - Epoch(val) [42][80/310] eta: 0:01:08 time: 0.094 data_time: 0.007 memory: 1479 2022/06/30 03:04:18 - mmengine - INFO - Epoch(val) [42][100/310] eta: 0:01:02 time: 0.161 data_time: 0.090 memory: 1479 2022/06/30 03:04:22 - mmengine - INFO - Epoch(val) [42][120/310] eta: 0:00:20 time: 0.093 data_time: 0.010 memory: 1479 2022/06/30 03:04:28 - mmengine - INFO - Epoch(val) [42][140/310] eta: 0:00:52 time: 0.095 data_time: 0.007 memory: 1479 2022/06/30 03:04:34 - mmengine - INFO - Epoch(val) [42][160/310] eta: 0:00:48 time: 1.624 data_time: 1.540 memory: 1479 2022/06/30 03:04:38 - mmengine - INFO - Epoch(val) [42][180/310] eta: 0:00:35 time: 0.076 data_time: 0.005 memory: 1479 2022/06/30 03:04:44 - mmengine - INFO - Epoch(val) [42][200/310] eta: 0:00:32 time: 0.084 data_time: 0.006 memory: 1479 2022/06/30 03:04:50 - mmengine - INFO - Epoch(val) [42][220/310] eta: 0:00:26 time: 1.435 data_time: 1.347 memory: 1479 2022/06/30 03:04:54 - mmengine - INFO - Epoch(val) [42][240/310] eta: 0:00:17 time: 0.078 data_time: 0.005 memory: 1479 2022/06/30 03:05:00 - mmengine - INFO - Epoch(val) [42][260/310] eta: 0:00:16 time: 0.084 data_time: 0.007 memory: 1479 2022/06/30 03:05:06 - mmengine - INFO - Epoch(val) [42][280/310] eta: 0:00:09 time: 1.144 data_time: 1.049 memory: 1479 2022/06/30 03:05:10 - mmengine - INFO - Epoch(val) [42][300/310] eta: 0:00:02 time: 0.077 data_time: 0.005 memory: 1479 2022/06/30 03:05:12 - mmengine - INFO - Epoch(val) [42][310/310] acc/top1: 0.6476 acc/top5: 0.8563 acc/mean1: 0.6475 2022/06/30 03:05:21 - mmengine - INFO - Epoch(train) [43][20/3757] lr: 1.000e-03 eta: 16:38:59 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 5.2154 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6217 loss: 1.6217 2022/06/30 03:05:27 - mmengine - INFO - Epoch(train) [43][40/3757] lr: 1.000e-03 eta: 16:38:53 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 4.6456 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3342 loss: 1.3342 2022/06/30 03:05:32 - mmengine - INFO - Epoch(train) [43][60/3757] lr: 1.000e-03 eta: 16:38:48 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.9000 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4965 loss: 1.4965 2022/06/30 03:05:38 - mmengine - INFO - Epoch(train) [43][80/3757] lr: 1.000e-03 eta: 16:38:42 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 6.1818 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2209 loss: 1.2209 2022/06/30 03:05:43 - mmengine - INFO - Epoch(train) [43][100/3757] lr: 1.000e-03 eta: 16:38:37 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 6.3333 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6238 loss: 1.6238 2022/06/30 03:05:49 - mmengine - INFO - Epoch(train) [43][120/3757] lr: 1.000e-03 eta: 16:38:31 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 5.2014 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5844 loss: 1.5844 2022/06/30 03:05:54 - mmengine - INFO - Epoch(train) [43][140/3757] lr: 1.000e-03 eta: 16:38:26 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 5.6303 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6090 loss: 1.6090 2022/06/30 03:06:00 - mmengine - INFO - Epoch(train) [43][160/3757] lr: 1.000e-03 eta: 16:38:21 time: 0.278 data_time: 0.007 memory: 6404 grad_norm: 5.9007 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4021 loss: 1.4021 2022/06/30 03:06:05 - mmengine - INFO - Epoch(train) [43][180/3757] lr: 1.000e-03 eta: 16:38:15 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 5.9150 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1069 loss: 1.1069 2022/06/30 03:06:11 - mmengine - INFO - Epoch(train) [43][200/3757] lr: 1.000e-03 eta: 16:38:10 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.8382 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4368 loss: 1.4368 2022/06/30 03:06:13 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 03:06:17 - mmengine - INFO - Epoch(train) [43][220/3757] lr: 1.000e-03 eta: 16:38:04 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 6.0302 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1833 loss: 1.1833 2022/06/30 03:06:22 - mmengine - INFO - Epoch(train) [43][240/3757] lr: 1.000e-03 eta: 16:37:59 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 6.4714 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8478 loss: 1.8478 2022/06/30 03:06:28 - mmengine - INFO - Epoch(train) [43][260/3757] lr: 1.000e-03 eta: 16:37:53 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 5.0143 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4290 loss: 1.4290 2022/06/30 03:06:33 - mmengine - INFO - Epoch(train) [43][280/3757] lr: 1.000e-03 eta: 16:37:48 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 6.3568 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3643 loss: 1.3643 2022/06/30 03:06:38 - mmengine - INFO - Epoch(train) [43][300/3757] lr: 1.000e-03 eta: 16:37:41 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 6.7242 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5418 loss: 1.5418 2022/06/30 03:06:44 - mmengine - INFO - Epoch(train) [43][320/3757] lr: 1.000e-03 eta: 16:37:36 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.7070 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3031 loss: 1.3031 2022/06/30 03:06:49 - mmengine - INFO - Epoch(train) [43][340/3757] lr: 1.000e-03 eta: 16:37:31 time: 0.314 data_time: 0.009 memory: 6404 grad_norm: 5.6346 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7742 loss: 1.7742 2022/06/30 03:06:55 - mmengine - INFO - Epoch(train) [43][360/3757] lr: 1.000e-03 eta: 16:37:25 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.2534 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4920 loss: 1.4920 2022/06/30 03:07:00 - mmengine - INFO - Epoch(train) [43][380/3757] lr: 1.000e-03 eta: 16:37:19 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 5.4928 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4645 loss: 1.4645 2022/06/30 03:07:05 - mmengine - INFO - Epoch(train) [43][400/3757] lr: 1.000e-03 eta: 16:37:13 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 6.0636 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5246 loss: 1.5246 2022/06/30 03:07:11 - mmengine - INFO - Epoch(train) [43][420/3757] lr: 1.000e-03 eta: 16:37:08 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.6280 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2112 loss: 1.2112 2022/06/30 03:07:17 - mmengine - INFO - Epoch(train) [43][440/3757] lr: 1.000e-03 eta: 16:37:03 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 6.7604 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4848 loss: 1.4848 2022/06/30 03:07:22 - mmengine - INFO - Epoch(train) [43][460/3757] lr: 1.000e-03 eta: 16:36:57 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 5.8309 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9720 loss: 1.9720 2022/06/30 03:07:27 - mmengine - INFO - Epoch(train) [43][480/3757] lr: 1.000e-03 eta: 16:36:51 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 5.8426 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2606 loss: 1.2606 2022/06/30 03:07:33 - mmengine - INFO - Epoch(train) [43][500/3757] lr: 1.000e-03 eta: 16:36:45 time: 0.246 data_time: 0.024 memory: 6404 grad_norm: 5.6824 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2232 loss: 1.2232 2022/06/30 03:07:38 - mmengine - INFO - Epoch(train) [43][520/3757] lr: 1.000e-03 eta: 16:36:40 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 6.3905 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0067 loss: 1.0067 2022/06/30 03:07:43 - mmengine - INFO - Epoch(train) [43][540/3757] lr: 1.000e-03 eta: 16:36:33 time: 0.247 data_time: 0.022 memory: 6404 grad_norm: 5.5140 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1778 loss: 1.1778 2022/06/30 03:07:49 - mmengine - INFO - Epoch(train) [43][560/3757] lr: 1.000e-03 eta: 16:36:28 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 4.9176 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4834 loss: 1.4834 2022/06/30 03:07:54 - mmengine - INFO - Epoch(train) [43][580/3757] lr: 1.000e-03 eta: 16:36:23 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.9344 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3065 loss: 1.3065 2022/06/30 03:08:00 - mmengine - INFO - Epoch(train) [43][600/3757] lr: 1.000e-03 eta: 16:36:17 time: 0.243 data_time: 0.016 memory: 6404 grad_norm: 5.6927 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7360 loss: 1.7360 2022/06/30 03:08:05 - mmengine - INFO - Epoch(train) [43][620/3757] lr: 1.000e-03 eta: 16:36:11 time: 0.255 data_time: 0.023 memory: 6404 grad_norm: 5.9909 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3607 loss: 1.3607 2022/06/30 03:08:10 - mmengine - INFO - Epoch(train) [43][640/3757] lr: 1.000e-03 eta: 16:36:06 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 4.8859 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5082 loss: 1.5082 2022/06/30 03:08:16 - mmengine - INFO - Epoch(train) [43][660/3757] lr: 1.000e-03 eta: 16:36:00 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 5.4095 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2579 loss: 1.2579 2022/06/30 03:08:21 - mmengine - INFO - Epoch(train) [43][680/3757] lr: 1.000e-03 eta: 16:35:54 time: 0.258 data_time: 0.024 memory: 6404 grad_norm: 6.4169 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2651 loss: 1.2651 2022/06/30 03:08:27 - mmengine - INFO - Epoch(train) [43][700/3757] lr: 1.000e-03 eta: 16:35:49 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 5.2291 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3881 loss: 1.3881 2022/06/30 03:08:32 - mmengine - INFO - Epoch(train) [43][720/3757] lr: 1.000e-03 eta: 16:35:44 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.3219 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7081 loss: 1.7081 2022/06/30 03:08:38 - mmengine - INFO - Epoch(train) [43][740/3757] lr: 1.000e-03 eta: 16:35:38 time: 0.257 data_time: 0.022 memory: 6404 grad_norm: 4.6004 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7381 loss: 1.7381 2022/06/30 03:08:44 - mmengine - INFO - Epoch(train) [43][760/3757] lr: 1.000e-03 eta: 16:35:33 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 6.2531 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7660 loss: 1.7660 2022/06/30 03:08:49 - mmengine - INFO - Epoch(train) [43][780/3757] lr: 1.000e-03 eta: 16:35:27 time: 0.278 data_time: 0.007 memory: 6404 grad_norm: 5.8342 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3581 loss: 1.3581 2022/06/30 03:08:55 - mmengine - INFO - Epoch(train) [43][800/3757] lr: 1.000e-03 eta: 16:35:22 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 5.4049 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5593 loss: 1.5593 2022/06/30 03:09:01 - mmengine - INFO - Epoch(train) [43][820/3757] lr: 1.000e-03 eta: 16:35:17 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.2486 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2303 loss: 1.2303 2022/06/30 03:09:06 - mmengine - INFO - Epoch(train) [43][840/3757] lr: 1.000e-03 eta: 16:35:11 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.5378 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2344 loss: 1.2344 2022/06/30 03:09:11 - mmengine - INFO - Epoch(train) [43][860/3757] lr: 1.000e-03 eta: 16:35:05 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 6.3247 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6712 loss: 1.6712 2022/06/30 03:09:16 - mmengine - INFO - Epoch(train) [43][880/3757] lr: 1.000e-03 eta: 16:35:00 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 4.5160 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7940 loss: 1.7940 2022/06/30 03:09:22 - mmengine - INFO - Epoch(train) [43][900/3757] lr: 1.000e-03 eta: 16:34:55 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 5.6967 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5806 loss: 1.5806 2022/06/30 03:09:27 - mmengine - INFO - Epoch(train) [43][920/3757] lr: 1.000e-03 eta: 16:34:49 time: 0.261 data_time: 0.020 memory: 6404 grad_norm: 5.3253 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1965 loss: 1.1965 2022/06/30 03:09:33 - mmengine - INFO - Epoch(train) [43][940/3757] lr: 1.000e-03 eta: 16:34:43 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 6.9143 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3836 loss: 1.3836 2022/06/30 03:09:39 - mmengine - INFO - Epoch(train) [43][960/3757] lr: 1.000e-03 eta: 16:34:38 time: 0.240 data_time: 0.006 memory: 6404 grad_norm: 6.0947 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5714 loss: 1.5714 2022/06/30 03:09:44 - mmengine - INFO - Epoch(train) [43][980/3757] lr: 1.000e-03 eta: 16:34:32 time: 0.245 data_time: 0.018 memory: 6404 grad_norm: 5.7010 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6797 loss: 1.6797 2022/06/30 03:09:50 - mmengine - INFO - Epoch(train) [43][1000/3757] lr: 1.000e-03 eta: 16:34:27 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 4.9475 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7288 loss: 1.7288 2022/06/30 03:09:55 - mmengine - INFO - Epoch(train) [43][1020/3757] lr: 1.000e-03 eta: 16:34:22 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 5.4991 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0460 loss: 1.0460 2022/06/30 03:10:01 - mmengine - INFO - Epoch(train) [43][1040/3757] lr: 1.000e-03 eta: 16:34:17 time: 0.245 data_time: 0.021 memory: 6404 grad_norm: 5.2245 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9412 loss: 0.9412 2022/06/30 03:10:06 - mmengine - INFO - Epoch(train) [43][1060/3757] lr: 1.000e-03 eta: 16:34:11 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.7188 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4146 loss: 1.4146 2022/06/30 03:10:12 - mmengine - INFO - Epoch(train) [43][1080/3757] lr: 1.000e-03 eta: 16:34:05 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 5.9295 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4183 loss: 1.4183 2022/06/30 03:10:17 - mmengine - INFO - Epoch(train) [43][1100/3757] lr: 1.000e-03 eta: 16:33:59 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 6.4881 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2435 loss: 1.2435 2022/06/30 03:10:23 - mmengine - INFO - Epoch(train) [43][1120/3757] lr: 1.000e-03 eta: 16:33:54 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 6.0960 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3374 loss: 1.3374 2022/06/30 03:10:28 - mmengine - INFO - Epoch(train) [43][1140/3757] lr: 1.000e-03 eta: 16:33:48 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.3546 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2932 loss: 1.2932 2022/06/30 03:10:33 - mmengine - INFO - Epoch(train) [43][1160/3757] lr: 1.000e-03 eta: 16:33:42 time: 0.274 data_time: 0.010 memory: 6404 grad_norm: 5.6120 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2502 loss: 1.2502 2022/06/30 03:10:39 - mmengine - INFO - Epoch(train) [43][1180/3757] lr: 1.000e-03 eta: 16:33:37 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 5.1883 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2573 loss: 1.2573 2022/06/30 03:10:45 - mmengine - INFO - Epoch(train) [43][1200/3757] lr: 1.000e-03 eta: 16:33:32 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.4288 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4148 loss: 1.4148 2022/06/30 03:10:47 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 03:10:51 - mmengine - INFO - Epoch(train) [43][1220/3757] lr: 1.000e-03 eta: 16:33:27 time: 0.270 data_time: 0.023 memory: 6404 grad_norm: 6.5591 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1627 loss: 1.1627 2022/06/30 03:10:56 - mmengine - INFO - Epoch(train) [43][1240/3757] lr: 1.000e-03 eta: 16:33:21 time: 0.286 data_time: 0.013 memory: 6404 grad_norm: 5.9255 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2312 loss: 1.2312 2022/06/30 03:11:02 - mmengine - INFO - Epoch(train) [43][1260/3757] lr: 1.000e-03 eta: 16:33:16 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 6.2310 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3820 loss: 1.3820 2022/06/30 03:11:07 - mmengine - INFO - Epoch(train) [43][1280/3757] lr: 1.000e-03 eta: 16:33:10 time: 0.246 data_time: 0.012 memory: 6404 grad_norm: 6.1953 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5615 loss: 1.5615 2022/06/30 03:11:13 - mmengine - INFO - Epoch(train) [43][1300/3757] lr: 1.000e-03 eta: 16:33:05 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 4.8189 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4636 loss: 1.4636 2022/06/30 03:11:18 - mmengine - INFO - Epoch(train) [43][1320/3757] lr: 1.000e-03 eta: 16:32:59 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.9010 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9320 loss: 1.9320 2022/06/30 03:11:23 - mmengine - INFO - Epoch(train) [43][1340/3757] lr: 1.000e-03 eta: 16:32:53 time: 0.320 data_time: 0.016 memory: 6404 grad_norm: 5.5965 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4861 loss: 1.4861 2022/06/30 03:11:29 - mmengine - INFO - Epoch(train) [43][1360/3757] lr: 1.000e-03 eta: 16:32:47 time: 0.268 data_time: 0.014 memory: 6404 grad_norm: 5.9425 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4671 loss: 1.4671 2022/06/30 03:11:34 - mmengine - INFO - Epoch(train) [43][1380/3757] lr: 1.000e-03 eta: 16:32:42 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.4528 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1740 loss: 1.1740 2022/06/30 03:11:40 - mmengine - INFO - Epoch(train) [43][1400/3757] lr: 1.000e-03 eta: 16:32:37 time: 0.524 data_time: 0.013 memory: 6404 grad_norm: 4.9673 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1124 loss: 1.1124 2022/06/30 03:11:45 - mmengine - INFO - Epoch(train) [43][1420/3757] lr: 1.000e-03 eta: 16:32:31 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 5.9906 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2820 loss: 1.2820 2022/06/30 03:11:51 - mmengine - INFO - Epoch(train) [43][1440/3757] lr: 1.000e-03 eta: 16:32:25 time: 0.285 data_time: 0.007 memory: 6404 grad_norm: 5.4633 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1516 loss: 1.1516 2022/06/30 03:11:56 - mmengine - INFO - Epoch(train) [43][1460/3757] lr: 1.000e-03 eta: 16:32:20 time: 0.251 data_time: 0.031 memory: 6404 grad_norm: 6.7402 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1388 loss: 1.1388 2022/06/30 03:12:02 - mmengine - INFO - Epoch(train) [43][1480/3757] lr: 1.000e-03 eta: 16:32:15 time: 0.429 data_time: 0.010 memory: 6404 grad_norm: 5.3268 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0432 loss: 1.0432 2022/06/30 03:12:07 - mmengine - INFO - Epoch(train) [43][1500/3757] lr: 1.000e-03 eta: 16:32:09 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 5.8850 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5083 loss: 1.5083 2022/06/30 03:12:13 - mmengine - INFO - Epoch(train) [43][1520/3757] lr: 1.000e-03 eta: 16:32:03 time: 0.263 data_time: 0.021 memory: 6404 grad_norm: 5.8380 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8692 loss: 1.8692 2022/06/30 03:12:19 - mmengine - INFO - Epoch(train) [43][1540/3757] lr: 1.000e-03 eta: 16:31:58 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.6413 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5276 loss: 1.5276 2022/06/30 03:12:24 - mmengine - INFO - Epoch(train) [43][1560/3757] lr: 1.000e-03 eta: 16:31:52 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.9851 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3818 loss: 1.3818 2022/06/30 03:12:29 - mmengine - INFO - Epoch(train) [43][1580/3757] lr: 1.000e-03 eta: 16:31:47 time: 0.257 data_time: 0.022 memory: 6404 grad_norm: 6.1357 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2443 loss: 1.2443 2022/06/30 03:12:35 - mmengine - INFO - Epoch(train) [43][1600/3757] lr: 1.000e-03 eta: 16:31:42 time: 0.287 data_time: 0.007 memory: 6404 grad_norm: 6.5049 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1327 loss: 1.1327 2022/06/30 03:12:40 - mmengine - INFO - Epoch(train) [43][1620/3757] lr: 1.000e-03 eta: 16:31:36 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 6.7965 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2388 loss: 1.2388 2022/06/30 03:12:46 - mmengine - INFO - Epoch(train) [43][1640/3757] lr: 1.000e-03 eta: 16:31:30 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.3428 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6409 loss: 1.6409 2022/06/30 03:12:52 - mmengine - INFO - Epoch(train) [43][1660/3757] lr: 1.000e-03 eta: 16:31:25 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.4778 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1205 loss: 1.1205 2022/06/30 03:12:57 - mmengine - INFO - Epoch(train) [43][1680/3757] lr: 1.000e-03 eta: 16:31:19 time: 0.240 data_time: 0.010 memory: 6404 grad_norm: 5.6649 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1839 loss: 1.1839 2022/06/30 03:13:02 - mmengine - INFO - Epoch(train) [43][1700/3757] lr: 1.000e-03 eta: 16:31:14 time: 0.254 data_time: 0.015 memory: 6404 grad_norm: 5.0259 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3383 loss: 1.3383 2022/06/30 03:13:08 - mmengine - INFO - Epoch(train) [43][1720/3757] lr: 1.000e-03 eta: 16:31:08 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 5.5470 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9951 loss: 1.9951 2022/06/30 03:13:14 - mmengine - INFO - Epoch(train) [43][1740/3757] lr: 1.000e-03 eta: 16:31:04 time: 0.412 data_time: 0.007 memory: 6404 grad_norm: 5.9109 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4908 loss: 1.4908 2022/06/30 03:13:19 - mmengine - INFO - Epoch(train) [43][1760/3757] lr: 1.000e-03 eta: 16:30:58 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.7191 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5822 loss: 1.5822 2022/06/30 03:13:24 - mmengine - INFO - Epoch(train) [43][1780/3757] lr: 1.000e-03 eta: 16:30:52 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 5.3768 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4489 loss: 1.4489 2022/06/30 03:13:30 - mmengine - INFO - Epoch(train) [43][1800/3757] lr: 1.000e-03 eta: 16:30:46 time: 0.296 data_time: 0.015 memory: 6404 grad_norm: 5.1538 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5210 loss: 1.5210 2022/06/30 03:13:35 - mmengine - INFO - Epoch(train) [43][1820/3757] lr: 1.000e-03 eta: 16:30:40 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 5.8750 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3963 loss: 1.3963 2022/06/30 03:13:40 - mmengine - INFO - Epoch(train) [43][1840/3757] lr: 1.000e-03 eta: 16:30:35 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 7.2502 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4981 loss: 1.4981 2022/06/30 03:13:46 - mmengine - INFO - Epoch(train) [43][1860/3757] lr: 1.000e-03 eta: 16:30:29 time: 0.268 data_time: 0.006 memory: 6404 grad_norm: 5.6333 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7226 loss: 1.7226 2022/06/30 03:13:51 - mmengine - INFO - Epoch(train) [43][1880/3757] lr: 1.000e-03 eta: 16:30:23 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 6.0449 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5142 loss: 1.5142 2022/06/30 03:13:56 - mmengine - INFO - Epoch(train) [43][1900/3757] lr: 1.000e-03 eta: 16:30:17 time: 0.269 data_time: 0.008 memory: 6404 grad_norm: 7.1789 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6554 loss: 1.6554 2022/06/30 03:14:02 - mmengine - INFO - Epoch(train) [43][1920/3757] lr: 1.000e-03 eta: 16:30:12 time: 0.263 data_time: 0.006 memory: 6404 grad_norm: 5.9812 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5176 loss: 1.5176 2022/06/30 03:14:07 - mmengine - INFO - Epoch(train) [43][1940/3757] lr: 1.000e-03 eta: 16:30:06 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.2959 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.4867 loss: 1.4867 2022/06/30 03:14:13 - mmengine - INFO - Epoch(train) [43][1960/3757] lr: 1.000e-03 eta: 16:30:01 time: 0.239 data_time: 0.009 memory: 6404 grad_norm: 5.4176 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2293 loss: 1.2293 2022/06/30 03:14:18 - mmengine - INFO - Epoch(train) [43][1980/3757] lr: 1.000e-03 eta: 16:29:55 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 4.6704 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4927 loss: 1.4927 2022/06/30 03:14:24 - mmengine - INFO - Epoch(train) [43][2000/3757] lr: 1.000e-03 eta: 16:29:49 time: 0.245 data_time: 0.009 memory: 6404 grad_norm: 5.4083 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2705 loss: 1.2705 2022/06/30 03:14:29 - mmengine - INFO - Epoch(train) [43][2020/3757] lr: 1.000e-03 eta: 16:29:44 time: 0.275 data_time: 0.009 memory: 6404 grad_norm: 6.2875 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3087 loss: 1.3087 2022/06/30 03:14:35 - mmengine - INFO - Epoch(train) [43][2040/3757] lr: 1.000e-03 eta: 16:29:38 time: 0.259 data_time: 0.006 memory: 6404 grad_norm: 6.5218 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7144 loss: 1.7144 2022/06/30 03:14:41 - mmengine - INFO - Epoch(train) [43][2060/3757] lr: 1.000e-03 eta: 16:29:33 time: 0.260 data_time: 0.016 memory: 6404 grad_norm: 5.4016 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3698 loss: 1.3698 2022/06/30 03:14:46 - mmengine - INFO - Epoch(train) [43][2080/3757] lr: 1.000e-03 eta: 16:29:27 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 6.2801 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4427 loss: 1.4427 2022/06/30 03:14:52 - mmengine - INFO - Epoch(train) [43][2100/3757] lr: 1.000e-03 eta: 16:29:22 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 5.6113 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6190 loss: 1.6190 2022/06/30 03:14:57 - mmengine - INFO - Epoch(train) [43][2120/3757] lr: 1.000e-03 eta: 16:29:16 time: 0.250 data_time: 0.017 memory: 6404 grad_norm: 5.4451 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6882 loss: 1.6882 2022/06/30 03:15:02 - mmengine - INFO - Epoch(train) [43][2140/3757] lr: 1.000e-03 eta: 16:29:10 time: 0.240 data_time: 0.010 memory: 6404 grad_norm: 4.7255 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3955 loss: 1.3955 2022/06/30 03:15:07 - mmengine - INFO - Epoch(train) [43][2160/3757] lr: 1.000e-03 eta: 16:29:04 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 6.2715 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6971 loss: 1.6971 2022/06/30 03:15:13 - mmengine - INFO - Epoch(train) [43][2180/3757] lr: 1.000e-03 eta: 16:28:59 time: 0.241 data_time: 0.010 memory: 6404 grad_norm: 6.1356 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3959 loss: 1.3959 2022/06/30 03:15:18 - mmengine - INFO - Epoch(train) [43][2200/3757] lr: 1.000e-03 eta: 16:28:53 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 6.4204 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8703 loss: 1.8703 2022/06/30 03:15:20 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 03:15:23 - mmengine - INFO - Epoch(train) [43][2220/3757] lr: 1.000e-03 eta: 16:28:48 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 7.3165 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6469 loss: 1.6469 2022/06/30 03:15:29 - mmengine - INFO - Epoch(train) [43][2240/3757] lr: 1.000e-03 eta: 16:28:43 time: 0.262 data_time: 0.012 memory: 6404 grad_norm: 6.6698 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1352 loss: 1.1352 2022/06/30 03:15:34 - mmengine - INFO - Epoch(train) [43][2260/3757] lr: 1.000e-03 eta: 16:28:37 time: 0.262 data_time: 0.009 memory: 6404 grad_norm: 6.2656 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3626 loss: 1.3626 2022/06/30 03:15:41 - mmengine - INFO - Epoch(train) [43][2280/3757] lr: 1.000e-03 eta: 16:28:32 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 6.5554 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4391 loss: 1.4391 2022/06/30 03:15:46 - mmengine - INFO - Epoch(train) [43][2300/3757] lr: 1.000e-03 eta: 16:28:26 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 5.4097 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9171 loss: 1.9171 2022/06/30 03:15:51 - mmengine - INFO - Epoch(train) [43][2320/3757] lr: 1.000e-03 eta: 16:28:21 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 5.1334 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5407 loss: 1.5407 2022/06/30 03:15:56 - mmengine - INFO - Epoch(train) [43][2340/3757] lr: 1.000e-03 eta: 16:28:15 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 4.9926 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8150 loss: 1.8150 2022/06/30 03:16:03 - mmengine - INFO - Epoch(train) [43][2360/3757] lr: 1.000e-03 eta: 16:28:10 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 6.0839 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6958 loss: 1.6958 2022/06/30 03:16:08 - mmengine - INFO - Epoch(train) [43][2380/3757] lr: 1.000e-03 eta: 16:28:04 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.0495 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5910 loss: 1.5910 2022/06/30 03:16:13 - mmengine - INFO - Epoch(train) [43][2400/3757] lr: 1.000e-03 eta: 16:27:58 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 6.7785 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4248 loss: 1.4248 2022/06/30 03:16:19 - mmengine - INFO - Epoch(train) [43][2420/3757] lr: 1.000e-03 eta: 16:27:53 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.6698 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1241 loss: 1.1241 2022/06/30 03:16:24 - mmengine - INFO - Epoch(train) [43][2440/3757] lr: 1.000e-03 eta: 16:27:48 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 6.4109 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3239 loss: 1.3239 2022/06/30 03:16:30 - mmengine - INFO - Epoch(train) [43][2460/3757] lr: 1.000e-03 eta: 16:27:42 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 6.7320 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6924 loss: 1.6924 2022/06/30 03:16:36 - mmengine - INFO - Epoch(train) [43][2480/3757] lr: 1.000e-03 eta: 16:27:37 time: 0.279 data_time: 0.007 memory: 6404 grad_norm: 6.0775 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2900 loss: 1.2900 2022/06/30 03:16:41 - mmengine - INFO - Epoch(train) [43][2500/3757] lr: 1.000e-03 eta: 16:27:32 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 4.9508 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6093 loss: 1.6093 2022/06/30 03:16:47 - mmengine - INFO - Epoch(train) [43][2520/3757] lr: 1.000e-03 eta: 16:27:26 time: 0.274 data_time: 0.011 memory: 6404 grad_norm: 6.5761 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6703 loss: 1.6703 2022/06/30 03:16:52 - mmengine - INFO - Epoch(train) [43][2540/3757] lr: 1.000e-03 eta: 16:27:20 time: 0.245 data_time: 0.015 memory: 6404 grad_norm: 6.0007 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6360 loss: 1.6360 2022/06/30 03:16:57 - mmengine - INFO - Epoch(train) [43][2560/3757] lr: 1.000e-03 eta: 16:27:14 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 6.3505 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4554 loss: 1.4554 2022/06/30 03:17:03 - mmengine - INFO - Epoch(train) [43][2580/3757] lr: 1.000e-03 eta: 16:27:09 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 6.2923 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3988 loss: 1.3988 2022/06/30 03:17:08 - mmengine - INFO - Epoch(train) [43][2600/3757] lr: 1.000e-03 eta: 16:27:03 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 5.8668 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5068 loss: 1.5068 2022/06/30 03:17:13 - mmengine - INFO - Epoch(train) [43][2620/3757] lr: 1.000e-03 eta: 16:26:57 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 6.5574 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3600 loss: 1.3600 2022/06/30 03:17:18 - mmengine - INFO - Epoch(train) [43][2640/3757] lr: 1.000e-03 eta: 16:26:51 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.0276 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5432 loss: 1.5432 2022/06/30 03:17:23 - mmengine - INFO - Epoch(train) [43][2660/3757] lr: 1.000e-03 eta: 16:26:45 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 4.9361 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2359 loss: 1.2359 2022/06/30 03:17:29 - mmengine - INFO - Epoch(train) [43][2680/3757] lr: 1.000e-03 eta: 16:26:40 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.7123 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4404 loss: 1.4404 2022/06/30 03:17:35 - mmengine - INFO - Epoch(train) [43][2700/3757] lr: 1.000e-03 eta: 16:26:34 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 5.9296 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0783 loss: 1.0783 2022/06/30 03:17:40 - mmengine - INFO - Epoch(train) [43][2720/3757] lr: 1.000e-03 eta: 16:26:29 time: 0.275 data_time: 0.012 memory: 6404 grad_norm: 5.0382 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7111 loss: 1.7111 2022/06/30 03:17:46 - mmengine - INFO - Epoch(train) [43][2740/3757] lr: 1.000e-03 eta: 16:26:23 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 4.8400 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6340 loss: 1.6340 2022/06/30 03:17:52 - mmengine - INFO - Epoch(train) [43][2760/3757] lr: 1.000e-03 eta: 16:26:19 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.8082 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5061 loss: 1.5061 2022/06/30 03:17:57 - mmengine - INFO - Epoch(train) [43][2780/3757] lr: 1.000e-03 eta: 16:26:13 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 5.2399 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3613 loss: 1.3613 2022/06/30 03:18:03 - mmengine - INFO - Epoch(train) [43][2800/3757] lr: 1.000e-03 eta: 16:26:07 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 5.2498 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5829 loss: 1.5829 2022/06/30 03:18:08 - mmengine - INFO - Epoch(train) [43][2820/3757] lr: 1.000e-03 eta: 16:26:02 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.5996 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5707 loss: 1.5707 2022/06/30 03:18:14 - mmengine - INFO - Epoch(train) [43][2840/3757] lr: 1.000e-03 eta: 16:25:57 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 6.5330 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5231 loss: 1.5231 2022/06/30 03:18:20 - mmengine - INFO - Epoch(train) [43][2860/3757] lr: 1.000e-03 eta: 16:25:51 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 6.2295 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4587 loss: 1.4587 2022/06/30 03:18:25 - mmengine - INFO - Epoch(train) [43][2880/3757] lr: 1.000e-03 eta: 16:25:45 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 4.3588 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7314 loss: 1.7314 2022/06/30 03:18:31 - mmengine - INFO - Epoch(train) [43][2900/3757] lr: 1.000e-03 eta: 16:25:40 time: 0.296 data_time: 0.011 memory: 6404 grad_norm: 6.3347 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6711 loss: 1.6711 2022/06/30 03:18:36 - mmengine - INFO - Epoch(train) [43][2920/3757] lr: 1.000e-03 eta: 16:25:34 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 6.1089 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5175 loss: 1.5175 2022/06/30 03:18:41 - mmengine - INFO - Epoch(train) [43][2940/3757] lr: 1.000e-03 eta: 16:25:29 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 5.8711 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2292 loss: 1.2292 2022/06/30 03:18:47 - mmengine - INFO - Epoch(train) [43][2960/3757] lr: 1.000e-03 eta: 16:25:23 time: 0.245 data_time: 0.020 memory: 6404 grad_norm: 6.5239 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4870 loss: 1.4870 2022/06/30 03:18:52 - mmengine - INFO - Epoch(train) [43][2980/3757] lr: 1.000e-03 eta: 16:25:18 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 4.9885 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5042 loss: 1.5042 2022/06/30 03:18:58 - mmengine - INFO - Epoch(train) [43][3000/3757] lr: 1.000e-03 eta: 16:25:12 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.7062 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7779 loss: 1.7779 2022/06/30 03:19:04 - mmengine - INFO - Epoch(train) [43][3020/3757] lr: 1.000e-03 eta: 16:25:07 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.8598 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3652 loss: 1.3652 2022/06/30 03:19:09 - mmengine - INFO - Epoch(train) [43][3040/3757] lr: 1.000e-03 eta: 16:25:01 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 6.1759 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4759 loss: 1.4759 2022/06/30 03:19:14 - mmengine - INFO - Epoch(train) [43][3060/3757] lr: 1.000e-03 eta: 16:24:56 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 4.9098 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4799 loss: 1.4799 2022/06/30 03:19:19 - mmengine - INFO - Epoch(train) [43][3080/3757] lr: 1.000e-03 eta: 16:24:50 time: 0.251 data_time: 0.020 memory: 6404 grad_norm: 6.7518 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3780 loss: 1.3780 2022/06/30 03:19:25 - mmengine - INFO - Epoch(train) [43][3100/3757] lr: 1.000e-03 eta: 16:24:44 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.9652 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3802 loss: 1.3802 2022/06/30 03:19:30 - mmengine - INFO - Epoch(train) [43][3120/3757] lr: 1.000e-03 eta: 16:24:38 time: 0.314 data_time: 0.013 memory: 6404 grad_norm: 6.7992 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0419 loss: 2.0419 2022/06/30 03:19:35 - mmengine - INFO - Epoch(train) [43][3140/3757] lr: 1.000e-03 eta: 16:24:32 time: 0.251 data_time: 0.025 memory: 6404 grad_norm: 5.3908 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2434 loss: 1.2434 2022/06/30 03:19:41 - mmengine - INFO - Epoch(train) [43][3160/3757] lr: 1.000e-03 eta: 16:24:27 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 5.4129 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2017 loss: 1.2017 2022/06/30 03:19:46 - mmengine - INFO - Epoch(train) [43][3180/3757] lr: 1.000e-03 eta: 16:24:21 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.5607 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6386 loss: 1.6386 2022/06/30 03:19:52 - mmengine - INFO - Epoch(train) [43][3200/3757] lr: 1.000e-03 eta: 16:24:17 time: 0.274 data_time: 0.007 memory: 6404 grad_norm: 6.9829 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3496 loss: 1.3496 2022/06/30 03:19:54 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 03:19:58 - mmengine - INFO - Epoch(train) [43][3220/3757] lr: 1.000e-03 eta: 16:24:11 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.9018 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4650 loss: 1.4650 2022/06/30 03:20:03 - mmengine - INFO - Epoch(train) [43][3240/3757] lr: 1.000e-03 eta: 16:24:05 time: 0.259 data_time: 0.006 memory: 6404 grad_norm: 5.8758 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4742 loss: 1.4742 2022/06/30 03:20:08 - mmengine - INFO - Epoch(train) [43][3260/3757] lr: 1.000e-03 eta: 16:23:59 time: 0.370 data_time: 0.007 memory: 6404 grad_norm: 5.4907 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6275 loss: 1.6275 2022/06/30 03:20:14 - mmengine - INFO - Epoch(train) [43][3280/3757] lr: 1.000e-03 eta: 16:23:54 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 5.2791 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6809 loss: 1.6809 2022/06/30 03:20:19 - mmengine - INFO - Epoch(train) [43][3300/3757] lr: 1.000e-03 eta: 16:23:48 time: 0.460 data_time: 0.007 memory: 6404 grad_norm: 6.1710 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6224 loss: 1.6224 2022/06/30 03:20:25 - mmengine - INFO - Epoch(train) [43][3320/3757] lr: 1.000e-03 eta: 16:23:42 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.2394 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1768 loss: 1.1768 2022/06/30 03:20:30 - mmengine - INFO - Epoch(train) [43][3340/3757] lr: 1.000e-03 eta: 16:23:37 time: 0.261 data_time: 0.009 memory: 6404 grad_norm: 5.9896 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3138 loss: 1.3138 2022/06/30 03:20:35 - mmengine - INFO - Epoch(train) [43][3360/3757] lr: 1.000e-03 eta: 16:23:31 time: 0.267 data_time: 0.010 memory: 6404 grad_norm: 7.1128 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4240 loss: 1.4240 2022/06/30 03:20:42 - mmengine - INFO - Epoch(train) [43][3380/3757] lr: 1.000e-03 eta: 16:23:27 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 6.8410 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7618 loss: 1.7618 2022/06/30 03:20:47 - mmengine - INFO - Epoch(train) [43][3400/3757] lr: 1.000e-03 eta: 16:23:21 time: 0.298 data_time: 0.011 memory: 6404 grad_norm: 5.7327 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4872 loss: 1.4872 2022/06/30 03:20:53 - mmengine - INFO - Epoch(train) [43][3420/3757] lr: 1.000e-03 eta: 16:23:15 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 5.4140 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1356 loss: 1.1356 2022/06/30 03:20:58 - mmengine - INFO - Epoch(train) [43][3440/3757] lr: 1.000e-03 eta: 16:23:10 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.5311 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1498 loss: 1.1498 2022/06/30 03:21:03 - mmengine - INFO - Epoch(train) [43][3460/3757] lr: 1.000e-03 eta: 16:23:04 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 5.7511 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0898 loss: 1.0898 2022/06/30 03:21:08 - mmengine - INFO - Epoch(train) [43][3480/3757] lr: 1.000e-03 eta: 16:22:58 time: 0.249 data_time: 0.021 memory: 6404 grad_norm: 5.6034 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1083 loss: 1.1083 2022/06/30 03:21:14 - mmengine - INFO - Epoch(train) [43][3500/3757] lr: 1.000e-03 eta: 16:22:53 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 6.0270 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3440 loss: 1.3440 2022/06/30 03:21:20 - mmengine - INFO - Epoch(train) [43][3520/3757] lr: 1.000e-03 eta: 16:22:47 time: 0.245 data_time: 0.012 memory: 6404 grad_norm: 5.9603 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5655 loss: 1.5655 2022/06/30 03:21:25 - mmengine - INFO - Epoch(train) [43][3540/3757] lr: 1.000e-03 eta: 16:22:42 time: 0.255 data_time: 0.031 memory: 6404 grad_norm: 4.7821 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1879 loss: 1.1879 2022/06/30 03:21:31 - mmengine - INFO - Epoch(train) [43][3560/3757] lr: 1.000e-03 eta: 16:22:37 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 6.1889 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2478 loss: 1.2478 2022/06/30 03:21:36 - mmengine - INFO - Epoch(train) [43][3580/3757] lr: 1.000e-03 eta: 16:22:31 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 6.6642 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4987 loss: 1.4987 2022/06/30 03:21:42 - mmengine - INFO - Epoch(train) [43][3600/3757] lr: 1.000e-03 eta: 16:22:25 time: 0.286 data_time: 0.060 memory: 6404 grad_norm: 6.2795 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6866 loss: 1.6866 2022/06/30 03:21:47 - mmengine - INFO - Epoch(train) [43][3620/3757] lr: 1.000e-03 eta: 16:22:19 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.5874 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4139 loss: 1.4139 2022/06/30 03:21:52 - mmengine - INFO - Epoch(train) [43][3640/3757] lr: 1.000e-03 eta: 16:22:13 time: 0.246 data_time: 0.013 memory: 6404 grad_norm: 5.7437 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3303 loss: 1.3303 2022/06/30 03:21:57 - mmengine - INFO - Epoch(train) [43][3660/3757] lr: 1.000e-03 eta: 16:22:07 time: 0.256 data_time: 0.017 memory: 6404 grad_norm: 5.4274 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5323 loss: 1.5323 2022/06/30 03:22:03 - mmengine - INFO - Epoch(train) [43][3680/3757] lr: 1.000e-03 eta: 16:22:02 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 6.1062 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0644 loss: 1.0644 2022/06/30 03:22:09 - mmengine - INFO - Epoch(train) [43][3700/3757] lr: 1.000e-03 eta: 16:21:57 time: 0.247 data_time: 0.014 memory: 6404 grad_norm: 6.4992 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4928 loss: 1.4928 2022/06/30 03:22:14 - mmengine - INFO - Epoch(train) [43][3720/3757] lr: 1.000e-03 eta: 16:21:51 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 5.8305 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2542 loss: 1.2542 2022/06/30 03:22:20 - mmengine - INFO - Epoch(train) [43][3740/3757] lr: 1.000e-03 eta: 16:21:46 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.2329 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4246 loss: 1.4246 2022/06/30 03:22:24 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 03:22:31 - mmengine - INFO - Epoch(val) [43][20/310] eta: 0:01:31 time: 0.084 data_time: 0.005 memory: 6404 2022/06/30 03:22:37 - mmengine - INFO - Epoch(val) [43][40/310] eta: 0:01:17 time: 0.121 data_time: 0.049 memory: 1479 2022/06/30 03:22:41 - mmengine - INFO - Epoch(val) [43][60/310] eta: 0:00:40 time: 0.085 data_time: 0.007 memory: 1479 2022/06/30 03:22:47 - mmengine - INFO - Epoch(val) [43][80/310] eta: 0:01:13 time: 0.103 data_time: 0.007 memory: 1479 2022/06/30 03:22:53 - mmengine - INFO - Epoch(val) [43][100/310] eta: 0:00:57 time: 0.622 data_time: 0.549 memory: 1479 2022/06/30 03:22:57 - mmengine - INFO - Epoch(val) [43][120/310] eta: 0:00:41 time: 0.087 data_time: 0.006 memory: 1479 2022/06/30 03:23:03 - mmengine - INFO - Epoch(val) [43][140/310] eta: 0:00:57 time: 0.084 data_time: 0.005 memory: 1479 2022/06/30 03:23:09 - mmengine - INFO - Epoch(val) [43][160/310] eta: 0:00:48 time: 2.510 data_time: 2.426 memory: 1479 2022/06/30 03:23:14 - mmengine - INFO - Epoch(val) [43][180/310] eta: 0:00:45 time: 0.081 data_time: 0.007 memory: 1479 2022/06/30 03:23:20 - mmengine - INFO - Epoch(val) [43][200/310] eta: 0:00:34 time: 0.085 data_time: 0.007 memory: 1479 2022/06/30 03:23:25 - mmengine - INFO - Epoch(val) [43][220/310] eta: 0:00:27 time: 1.863 data_time: 1.770 memory: 1479 2022/06/30 03:23:29 - mmengine - INFO - Epoch(val) [43][240/310] eta: 0:00:19 time: 0.084 data_time: 0.008 memory: 1479 2022/06/30 03:23:35 - mmengine - INFO - Epoch(val) [43][260/310] eta: 0:00:15 time: 0.082 data_time: 0.005 memory: 1479 2022/06/30 03:23:41 - mmengine - INFO - Epoch(val) [43][280/310] eta: 0:00:08 time: 1.877 data_time: 1.793 memory: 1479 2022/06/30 03:23:44 - mmengine - INFO - Epoch(val) [43][300/310] eta: 0:00:02 time: 0.091 data_time: 0.014 memory: 1479 2022/06/30 03:23:48 - mmengine - INFO - Epoch(val) [43][310/310] acc/top1: 0.6511 acc/top5: 0.8584 acc/mean1: 0.6510 2022/06/30 03:23:57 - mmengine - INFO - Epoch(train) [44][20/3757] lr: 1.000e-03 eta: 16:21:38 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.7835 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7547 loss: 1.7547 2022/06/30 03:24:03 - mmengine - INFO - Epoch(train) [44][40/3757] lr: 1.000e-03 eta: 16:21:32 time: 0.241 data_time: 0.008 memory: 6404 grad_norm: 5.1328 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0462 loss: 1.0462 2022/06/30 03:24:08 - mmengine - INFO - Epoch(train) [44][60/3757] lr: 1.000e-03 eta: 16:21:27 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 6.1795 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4756 loss: 1.4756 2022/06/30 03:24:14 - mmengine - INFO - Epoch(train) [44][80/3757] lr: 1.000e-03 eta: 16:21:21 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.6264 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4080 loss: 1.4080 2022/06/30 03:24:20 - mmengine - INFO - Epoch(train) [44][100/3757] lr: 1.000e-03 eta: 16:21:16 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.3811 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2988 loss: 1.2988 2022/06/30 03:24:25 - mmengine - INFO - Epoch(train) [44][120/3757] lr: 1.000e-03 eta: 16:21:10 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.2050 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2737 loss: 1.2737 2022/06/30 03:24:31 - mmengine - INFO - Epoch(train) [44][140/3757] lr: 1.000e-03 eta: 16:21:05 time: 0.357 data_time: 0.007 memory: 6404 grad_norm: 6.2207 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2569 loss: 1.2569 2022/06/30 03:24:36 - mmengine - INFO - Epoch(train) [44][160/3757] lr: 1.000e-03 eta: 16:20:59 time: 0.237 data_time: 0.007 memory: 6404 grad_norm: 5.9934 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1070 loss: 1.1070 2022/06/30 03:24:42 - mmengine - INFO - Epoch(train) [44][180/3757] lr: 1.000e-03 eta: 16:20:54 time: 0.272 data_time: 0.006 memory: 6404 grad_norm: 5.3392 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2101 loss: 1.2101 2022/06/30 03:24:48 - mmengine - INFO - Epoch(train) [44][200/3757] lr: 1.000e-03 eta: 16:20:49 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 6.0754 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9024 loss: 1.9024 2022/06/30 03:24:53 - mmengine - INFO - Epoch(train) [44][220/3757] lr: 1.000e-03 eta: 16:20:44 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 5.7038 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2489 loss: 1.2489 2022/06/30 03:24:58 - mmengine - INFO - Epoch(train) [44][240/3757] lr: 1.000e-03 eta: 16:20:38 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 5.7148 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2039 loss: 1.2039 2022/06/30 03:25:04 - mmengine - INFO - Epoch(train) [44][260/3757] lr: 1.000e-03 eta: 16:20:32 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 7.0630 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3396 loss: 1.3396 2022/06/30 03:25:10 - mmengine - INFO - Epoch(train) [44][280/3757] lr: 1.000e-03 eta: 16:20:27 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 4.9186 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5277 loss: 1.5277 2022/06/30 03:25:15 - mmengine - INFO - Epoch(train) [44][300/3757] lr: 1.000e-03 eta: 16:20:21 time: 0.245 data_time: 0.012 memory: 6404 grad_norm: 6.1032 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3651 loss: 1.3651 2022/06/30 03:25:21 - mmengine - INFO - Epoch(train) [44][320/3757] lr: 1.000e-03 eta: 16:20:16 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 5.2527 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8728 loss: 1.8728 2022/06/30 03:25:26 - mmengine - INFO - Epoch(train) [44][340/3757] lr: 1.000e-03 eta: 16:20:11 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.7674 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4537 loss: 1.4537 2022/06/30 03:25:32 - mmengine - INFO - Epoch(train) [44][360/3757] lr: 1.000e-03 eta: 16:20:05 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 4.9654 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6817 loss: 1.6817 2022/06/30 03:25:37 - mmengine - INFO - Epoch(train) [44][380/3757] lr: 1.000e-03 eta: 16:20:00 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 5.0335 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4882 loss: 1.4882 2022/06/30 03:25:43 - mmengine - INFO - Epoch(train) [44][400/3757] lr: 1.000e-03 eta: 16:19:54 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 6.1840 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5443 loss: 1.5443 2022/06/30 03:25:48 - mmengine - INFO - Epoch(train) [44][420/3757] lr: 1.000e-03 eta: 16:19:48 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.6631 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5569 loss: 1.5569 2022/06/30 03:25:54 - mmengine - INFO - Epoch(train) [44][440/3757] lr: 1.000e-03 eta: 16:19:43 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 6.8021 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8881 loss: 0.8881 2022/06/30 03:25:57 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 03:26:00 - mmengine - INFO - Epoch(train) [44][460/3757] lr: 1.000e-03 eta: 16:19:38 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.1214 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4138 loss: 1.4138 2022/06/30 03:26:05 - mmengine - INFO - Epoch(train) [44][480/3757] lr: 1.000e-03 eta: 16:19:32 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 5.6101 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4643 loss: 1.4643 2022/06/30 03:26:10 - mmengine - INFO - Epoch(train) [44][500/3757] lr: 1.000e-03 eta: 16:19:26 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.1395 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4584 loss: 1.4584 2022/06/30 03:26:16 - mmengine - INFO - Epoch(train) [44][520/3757] lr: 1.000e-03 eta: 16:19:21 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 6.0871 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6033 loss: 1.6033 2022/06/30 03:26:21 - mmengine - INFO - Epoch(train) [44][540/3757] lr: 1.000e-03 eta: 16:19:15 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 6.0148 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0475 loss: 1.0475 2022/06/30 03:26:27 - mmengine - INFO - Epoch(train) [44][560/3757] lr: 1.000e-03 eta: 16:19:10 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 4.7672 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3402 loss: 1.3402 2022/06/30 03:26:32 - mmengine - INFO - Epoch(train) [44][580/3757] lr: 1.000e-03 eta: 16:19:04 time: 0.276 data_time: 0.008 memory: 6404 grad_norm: 6.1716 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4847 loss: 1.4847 2022/06/30 03:26:37 - mmengine - INFO - Epoch(train) [44][600/3757] lr: 1.000e-03 eta: 16:18:58 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 6.2392 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2060 loss: 1.2060 2022/06/30 03:26:43 - mmengine - INFO - Epoch(train) [44][620/3757] lr: 1.000e-03 eta: 16:18:52 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.7203 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1754 loss: 1.1754 2022/06/30 03:26:48 - mmengine - INFO - Epoch(train) [44][640/3757] lr: 1.000e-03 eta: 16:18:47 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 5.4986 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5875 loss: 1.5875 2022/06/30 03:26:54 - mmengine - INFO - Epoch(train) [44][660/3757] lr: 1.000e-03 eta: 16:18:42 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 4.6460 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4409 loss: 1.4409 2022/06/30 03:27:00 - mmengine - INFO - Epoch(train) [44][680/3757] lr: 1.000e-03 eta: 16:18:36 time: 0.241 data_time: 0.006 memory: 6404 grad_norm: 5.2153 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3603 loss: 1.3603 2022/06/30 03:27:05 - mmengine - INFO - Epoch(train) [44][700/3757] lr: 1.000e-03 eta: 16:18:31 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.5193 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5919 loss: 1.5919 2022/06/30 03:27:11 - mmengine - INFO - Epoch(train) [44][720/3757] lr: 1.000e-03 eta: 16:18:26 time: 0.559 data_time: 0.011 memory: 6404 grad_norm: 6.7117 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3151 loss: 1.3151 2022/06/30 03:27:17 - mmengine - INFO - Epoch(train) [44][740/3757] lr: 1.000e-03 eta: 16:18:21 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.8472 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0626 loss: 1.0626 2022/06/30 03:27:22 - mmengine - INFO - Epoch(train) [44][760/3757] lr: 1.000e-03 eta: 16:18:15 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.6835 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4505 loss: 1.4505 2022/06/30 03:27:27 - mmengine - INFO - Epoch(train) [44][780/3757] lr: 1.000e-03 eta: 16:18:09 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.0368 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2752 loss: 1.2752 2022/06/30 03:27:33 - mmengine - INFO - Epoch(train) [44][800/3757] lr: 1.000e-03 eta: 16:18:03 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.9633 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2914 loss: 1.2914 2022/06/30 03:27:38 - mmengine - INFO - Epoch(train) [44][820/3757] lr: 1.000e-03 eta: 16:17:58 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 6.2209 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6655 loss: 1.6655 2022/06/30 03:27:44 - mmengine - INFO - Epoch(train) [44][840/3757] lr: 1.000e-03 eta: 16:17:53 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.2304 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3006 loss: 1.3006 2022/06/30 03:27:49 - mmengine - INFO - Epoch(train) [44][860/3757] lr: 1.000e-03 eta: 16:17:47 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.1553 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2495 loss: 1.2495 2022/06/30 03:27:55 - mmengine - INFO - Epoch(train) [44][880/3757] lr: 1.000e-03 eta: 16:17:42 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.8907 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2982 loss: 1.2982 2022/06/30 03:28:01 - mmengine - INFO - Epoch(train) [44][900/3757] lr: 1.000e-03 eta: 16:17:37 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 4.9835 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2024 loss: 1.2024 2022/06/30 03:28:06 - mmengine - INFO - Epoch(train) [44][920/3757] lr: 1.000e-03 eta: 16:17:31 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.8984 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3995 loss: 1.3995 2022/06/30 03:28:12 - mmengine - INFO - Epoch(train) [44][940/3757] lr: 1.000e-03 eta: 16:17:26 time: 0.241 data_time: 0.006 memory: 6404 grad_norm: 6.0486 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2869 loss: 1.2869 2022/06/30 03:28:18 - mmengine - INFO - Epoch(train) [44][960/3757] lr: 1.000e-03 eta: 16:17:20 time: 0.241 data_time: 0.006 memory: 6404 grad_norm: 5.0861 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2283 loss: 1.2283 2022/06/30 03:28:23 - mmengine - INFO - Epoch(train) [44][980/3757] lr: 1.000e-03 eta: 16:17:14 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 5.0169 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4722 loss: 1.4722 2022/06/30 03:28:28 - mmengine - INFO - Epoch(train) [44][1000/3757] lr: 1.000e-03 eta: 16:17:09 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.7985 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5465 loss: 1.5465 2022/06/30 03:28:34 - mmengine - INFO - Epoch(train) [44][1020/3757] lr: 1.000e-03 eta: 16:17:04 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.8001 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2434 loss: 1.2434 2022/06/30 03:28:39 - mmengine - INFO - Epoch(train) [44][1040/3757] lr: 1.000e-03 eta: 16:16:58 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 6.0409 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8522 loss: 1.8522 2022/06/30 03:28:45 - mmengine - INFO - Epoch(train) [44][1060/3757] lr: 1.000e-03 eta: 16:16:52 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 5.9069 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4724 loss: 1.4724 2022/06/30 03:28:50 - mmengine - INFO - Epoch(train) [44][1080/3757] lr: 1.000e-03 eta: 16:16:47 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 6.0927 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5855 loss: 1.5855 2022/06/30 03:28:55 - mmengine - INFO - Epoch(train) [44][1100/3757] lr: 1.000e-03 eta: 16:16:41 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.0838 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2014 loss: 1.2014 2022/06/30 03:29:01 - mmengine - INFO - Epoch(train) [44][1120/3757] lr: 1.000e-03 eta: 16:16:35 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 5.0152 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3736 loss: 1.3736 2022/06/30 03:29:06 - mmengine - INFO - Epoch(train) [44][1140/3757] lr: 1.000e-03 eta: 16:16:30 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.4504 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4305 loss: 1.4305 2022/06/30 03:29:12 - mmengine - INFO - Epoch(train) [44][1160/3757] lr: 1.000e-03 eta: 16:16:24 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 6.8098 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6586 loss: 1.6586 2022/06/30 03:29:17 - mmengine - INFO - Epoch(train) [44][1180/3757] lr: 1.000e-03 eta: 16:16:18 time: 0.261 data_time: 0.006 memory: 6404 grad_norm: 6.3707 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4415 loss: 1.4415 2022/06/30 03:29:22 - mmengine - INFO - Epoch(train) [44][1200/3757] lr: 1.000e-03 eta: 16:16:13 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.8551 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4550 loss: 1.4550 2022/06/30 03:29:28 - mmengine - INFO - Epoch(train) [44][1220/3757] lr: 1.000e-03 eta: 16:16:07 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.8027 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2957 loss: 1.2957 2022/06/30 03:29:34 - mmengine - INFO - Epoch(train) [44][1240/3757] lr: 1.000e-03 eta: 16:16:02 time: 0.234 data_time: 0.013 memory: 6404 grad_norm: 5.5428 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0099 loss: 1.0099 2022/06/30 03:29:39 - mmengine - INFO - Epoch(train) [44][1260/3757] lr: 1.000e-03 eta: 16:15:57 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.4349 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3504 loss: 1.3504 2022/06/30 03:29:45 - mmengine - INFO - Epoch(train) [44][1280/3757] lr: 1.000e-03 eta: 16:15:51 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.2001 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1115 loss: 1.1115 2022/06/30 03:29:50 - mmengine - INFO - Epoch(train) [44][1300/3757] lr: 1.000e-03 eta: 16:15:45 time: 0.255 data_time: 0.018 memory: 6404 grad_norm: 5.6732 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3955 loss: 1.3955 2022/06/30 03:29:56 - mmengine - INFO - Epoch(train) [44][1320/3757] lr: 1.000e-03 eta: 16:15:40 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 7.0710 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3633 loss: 1.3633 2022/06/30 03:30:01 - mmengine - INFO - Epoch(train) [44][1340/3757] lr: 1.000e-03 eta: 16:15:34 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 5.6061 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8557 loss: 1.8557 2022/06/30 03:30:07 - mmengine - INFO - Epoch(train) [44][1360/3757] lr: 1.000e-03 eta: 16:15:30 time: 0.247 data_time: 0.029 memory: 6404 grad_norm: 7.3250 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3512 loss: 1.3512 2022/06/30 03:30:13 - mmengine - INFO - Epoch(train) [44][1380/3757] lr: 1.000e-03 eta: 16:15:24 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.9549 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6941 loss: 1.6941 2022/06/30 03:30:18 - mmengine - INFO - Epoch(train) [44][1400/3757] lr: 1.000e-03 eta: 16:15:19 time: 0.265 data_time: 0.078 memory: 6404 grad_norm: 5.5437 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5617 loss: 1.5617 2022/06/30 03:30:24 - mmengine - INFO - Epoch(train) [44][1420/3757] lr: 1.000e-03 eta: 16:15:13 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.4442 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5516 loss: 1.5516 2022/06/30 03:30:29 - mmengine - INFO - Epoch(train) [44][1440/3757] lr: 1.000e-03 eta: 16:15:08 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.4249 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7379 loss: 1.7379 2022/06/30 03:30:32 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 03:30:35 - mmengine - INFO - Epoch(train) [44][1460/3757] lr: 1.000e-03 eta: 16:15:02 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 6.6306 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3326 loss: 1.3326 2022/06/30 03:30:40 - mmengine - INFO - Epoch(train) [44][1480/3757] lr: 1.000e-03 eta: 16:14:56 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 6.9585 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6261 loss: 1.6261 2022/06/30 03:30:45 - mmengine - INFO - Epoch(train) [44][1500/3757] lr: 1.000e-03 eta: 16:14:51 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 5.2760 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1318 loss: 1.1318 2022/06/30 03:30:51 - mmengine - INFO - Epoch(train) [44][1520/3757] lr: 1.000e-03 eta: 16:14:46 time: 0.472 data_time: 0.007 memory: 6404 grad_norm: 7.6271 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2739 loss: 1.2739 2022/06/30 03:30:57 - mmengine - INFO - Epoch(train) [44][1540/3757] lr: 1.000e-03 eta: 16:14:40 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.4162 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.6986 loss: 1.6986 2022/06/30 03:31:02 - mmengine - INFO - Epoch(train) [44][1560/3757] lr: 1.000e-03 eta: 16:14:35 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 5.0972 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6914 loss: 1.6914 2022/06/30 03:31:08 - mmengine - INFO - Epoch(train) [44][1580/3757] lr: 1.000e-03 eta: 16:14:29 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 6.0799 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4674 loss: 1.4674 2022/06/30 03:31:13 - mmengine - INFO - Epoch(train) [44][1600/3757] lr: 1.000e-03 eta: 16:14:24 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.0917 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3609 loss: 1.3609 2022/06/30 03:31:19 - mmengine - INFO - Epoch(train) [44][1620/3757] lr: 1.000e-03 eta: 16:14:18 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 6.0581 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5243 loss: 1.5243 2022/06/30 03:31:24 - mmengine - INFO - Epoch(train) [44][1640/3757] lr: 1.000e-03 eta: 16:14:12 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.9876 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1828 loss: 1.1828 2022/06/30 03:31:30 - mmengine - INFO - Epoch(train) [44][1660/3757] lr: 1.000e-03 eta: 16:14:07 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 6.3199 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6182 loss: 1.6182 2022/06/30 03:31:35 - mmengine - INFO - Epoch(train) [44][1680/3757] lr: 1.000e-03 eta: 16:14:01 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 7.3941 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4995 loss: 1.4995 2022/06/30 03:31:41 - mmengine - INFO - Epoch(train) [44][1700/3757] lr: 1.000e-03 eta: 16:13:56 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.3243 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4970 loss: 1.4970 2022/06/30 03:31:47 - mmengine - INFO - Epoch(train) [44][1720/3757] lr: 1.000e-03 eta: 16:13:51 time: 0.271 data_time: 0.010 memory: 6404 grad_norm: 5.7316 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6496 loss: 1.6496 2022/06/30 03:31:53 - mmengine - INFO - Epoch(train) [44][1740/3757] lr: 1.000e-03 eta: 16:13:46 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 4.9240 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3202 loss: 1.3202 2022/06/30 03:31:58 - mmengine - INFO - Epoch(train) [44][1760/3757] lr: 1.000e-03 eta: 16:13:40 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 4.9523 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6240 loss: 1.6240 2022/06/30 03:32:03 - mmengine - INFO - Epoch(train) [44][1780/3757] lr: 1.000e-03 eta: 16:13:34 time: 0.276 data_time: 0.010 memory: 6404 grad_norm: 6.4105 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3648 loss: 1.3648 2022/06/30 03:32:08 - mmengine - INFO - Epoch(train) [44][1800/3757] lr: 1.000e-03 eta: 16:13:28 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 5.8104 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5856 loss: 1.5856 2022/06/30 03:32:14 - mmengine - INFO - Epoch(train) [44][1820/3757] lr: 1.000e-03 eta: 16:13:23 time: 0.261 data_time: 0.013 memory: 6404 grad_norm: 6.9321 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4766 loss: 1.4766 2022/06/30 03:32:19 - mmengine - INFO - Epoch(train) [44][1840/3757] lr: 1.000e-03 eta: 16:13:17 time: 0.270 data_time: 0.007 memory: 6404 grad_norm: 6.0030 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5894 loss: 1.5894 2022/06/30 03:32:25 - mmengine - INFO - Epoch(train) [44][1860/3757] lr: 1.000e-03 eta: 16:13:12 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.9978 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2967 loss: 1.2967 2022/06/30 03:32:31 - mmengine - INFO - Epoch(train) [44][1880/3757] lr: 1.000e-03 eta: 16:13:07 time: 0.258 data_time: 0.013 memory: 6404 grad_norm: 5.5554 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8185 loss: 1.8185 2022/06/30 03:32:36 - mmengine - INFO - Epoch(train) [44][1900/3757] lr: 1.000e-03 eta: 16:13:01 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.8289 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0858 loss: 1.0858 2022/06/30 03:32:41 - mmengine - INFO - Epoch(train) [44][1920/3757] lr: 1.000e-03 eta: 16:12:55 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 5.8864 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4662 loss: 1.4662 2022/06/30 03:32:47 - mmengine - INFO - Epoch(train) [44][1940/3757] lr: 1.000e-03 eta: 16:12:50 time: 0.250 data_time: 0.017 memory: 6404 grad_norm: 6.1818 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9688 loss: 0.9688 2022/06/30 03:32:53 - mmengine - INFO - Epoch(train) [44][1960/3757] lr: 1.000e-03 eta: 16:12:45 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 6.1462 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2355 loss: 1.2355 2022/06/30 03:32:58 - mmengine - INFO - Epoch(train) [44][1980/3757] lr: 1.000e-03 eta: 16:12:39 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.1520 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3963 loss: 1.3963 2022/06/30 03:33:03 - mmengine - INFO - Epoch(train) [44][2000/3757] lr: 1.000e-03 eta: 16:12:33 time: 0.263 data_time: 0.017 memory: 6404 grad_norm: 7.1704 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7065 loss: 1.7065 2022/06/30 03:33:10 - mmengine - INFO - Epoch(train) [44][2020/3757] lr: 1.000e-03 eta: 16:12:29 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.9978 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0489 loss: 1.0489 2022/06/30 03:33:15 - mmengine - INFO - Epoch(train) [44][2040/3757] lr: 1.000e-03 eta: 16:12:23 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.4859 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8150 loss: 1.8150 2022/06/30 03:33:20 - mmengine - INFO - Epoch(train) [44][2060/3757] lr: 1.000e-03 eta: 16:12:17 time: 0.247 data_time: 0.021 memory: 6404 grad_norm: 5.8039 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7891 loss: 1.7891 2022/06/30 03:33:26 - mmengine - INFO - Epoch(train) [44][2080/3757] lr: 1.000e-03 eta: 16:12:12 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.5060 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6837 loss: 1.6837 2022/06/30 03:33:32 - mmengine - INFO - Epoch(train) [44][2100/3757] lr: 1.000e-03 eta: 16:12:07 time: 0.390 data_time: 0.010 memory: 6404 grad_norm: 5.9656 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5637 loss: 1.5637 2022/06/30 03:33:37 - mmengine - INFO - Epoch(train) [44][2120/3757] lr: 1.000e-03 eta: 16:12:01 time: 0.256 data_time: 0.017 memory: 6404 grad_norm: 5.0172 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1851 loss: 1.1851 2022/06/30 03:33:42 - mmengine - INFO - Epoch(train) [44][2140/3757] lr: 1.000e-03 eta: 16:11:55 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 6.1566 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1437 loss: 1.1437 2022/06/30 03:33:48 - mmengine - INFO - Epoch(train) [44][2160/3757] lr: 1.000e-03 eta: 16:11:50 time: 0.244 data_time: 0.017 memory: 6404 grad_norm: 6.7029 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6112 loss: 1.6112 2022/06/30 03:33:54 - mmengine - INFO - Epoch(train) [44][2180/3757] lr: 1.000e-03 eta: 16:11:45 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 5.6140 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5983 loss: 1.5983 2022/06/30 03:33:59 - mmengine - INFO - Epoch(train) [44][2200/3757] lr: 1.000e-03 eta: 16:11:39 time: 0.318 data_time: 0.013 memory: 6404 grad_norm: 5.6740 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2465 loss: 1.2465 2022/06/30 03:34:05 - mmengine - INFO - Epoch(train) [44][2220/3757] lr: 1.000e-03 eta: 16:11:34 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 6.0122 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3315 loss: 1.3315 2022/06/30 03:34:10 - mmengine - INFO - Epoch(train) [44][2240/3757] lr: 1.000e-03 eta: 16:11:28 time: 0.249 data_time: 0.051 memory: 6404 grad_norm: 5.6277 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4106 loss: 1.4106 2022/06/30 03:34:15 - mmengine - INFO - Epoch(train) [44][2260/3757] lr: 1.000e-03 eta: 16:11:22 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 5.2568 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2937 loss: 1.2937 2022/06/30 03:34:21 - mmengine - INFO - Epoch(train) [44][2280/3757] lr: 1.000e-03 eta: 16:11:16 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 6.6851 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7907 loss: 1.7907 2022/06/30 03:34:26 - mmengine - INFO - Epoch(train) [44][2300/3757] lr: 1.000e-03 eta: 16:11:10 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 5.9717 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4097 loss: 1.4097 2022/06/30 03:34:31 - mmengine - INFO - Epoch(train) [44][2320/3757] lr: 1.000e-03 eta: 16:11:04 time: 0.256 data_time: 0.017 memory: 6404 grad_norm: 5.4625 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2089 loss: 1.2089 2022/06/30 03:34:36 - mmengine - INFO - Epoch(train) [44][2340/3757] lr: 1.000e-03 eta: 16:10:58 time: 0.252 data_time: 0.017 memory: 6404 grad_norm: 6.3583 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3819 loss: 1.3819 2022/06/30 03:34:42 - mmengine - INFO - Epoch(train) [44][2360/3757] lr: 1.000e-03 eta: 16:10:53 time: 0.558 data_time: 0.012 memory: 6404 grad_norm: 5.0729 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3141 loss: 1.3141 2022/06/30 03:34:48 - mmengine - INFO - Epoch(train) [44][2380/3757] lr: 1.000e-03 eta: 16:10:48 time: 0.268 data_time: 0.010 memory: 6404 grad_norm: 5.4148 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4701 loss: 1.4701 2022/06/30 03:34:53 - mmengine - INFO - Epoch(train) [44][2400/3757] lr: 1.000e-03 eta: 16:10:43 time: 0.242 data_time: 0.016 memory: 6404 grad_norm: 6.3479 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3412 loss: 1.3412 2022/06/30 03:34:59 - mmengine - INFO - Epoch(train) [44][2420/3757] lr: 1.000e-03 eta: 16:10:38 time: 0.270 data_time: 0.007 memory: 6404 grad_norm: 7.2286 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3726 loss: 1.3726 2022/06/30 03:35:04 - mmengine - INFO - Epoch(train) [44][2440/3757] lr: 1.000e-03 eta: 16:10:32 time: 0.266 data_time: 0.008 memory: 6404 grad_norm: 6.6791 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6580 loss: 1.6580 2022/06/30 03:35:07 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 03:35:10 - mmengine - INFO - Epoch(train) [44][2460/3757] lr: 1.000e-03 eta: 16:10:27 time: 0.569 data_time: 0.382 memory: 6404 grad_norm: 5.9398 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3067 loss: 1.3067 2022/06/30 03:35:16 - mmengine - INFO - Epoch(train) [44][2480/3757] lr: 1.000e-03 eta: 16:10:21 time: 0.520 data_time: 0.007 memory: 6404 grad_norm: 6.0397 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1847 loss: 1.1847 2022/06/30 03:35:21 - mmengine - INFO - Epoch(train) [44][2500/3757] lr: 1.000e-03 eta: 16:10:16 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.8305 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2245 loss: 1.2245 2022/06/30 03:35:27 - mmengine - INFO - Epoch(train) [44][2520/3757] lr: 1.000e-03 eta: 16:10:10 time: 0.337 data_time: 0.141 memory: 6404 grad_norm: 6.0836 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5117 loss: 1.5117 2022/06/30 03:35:32 - mmengine - INFO - Epoch(train) [44][2540/3757] lr: 1.000e-03 eta: 16:10:05 time: 0.420 data_time: 0.013 memory: 6404 grad_norm: 6.7288 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2320 loss: 1.2320 2022/06/30 03:35:38 - mmengine - INFO - Epoch(train) [44][2560/3757] lr: 1.000e-03 eta: 16:09:59 time: 0.373 data_time: 0.008 memory: 6404 grad_norm: 6.0276 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3872 loss: 1.3872 2022/06/30 03:35:44 - mmengine - INFO - Epoch(train) [44][2580/3757] lr: 1.000e-03 eta: 16:09:55 time: 0.251 data_time: 0.020 memory: 6404 grad_norm: 5.9762 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4629 loss: 1.4629 2022/06/30 03:35:49 - mmengine - INFO - Epoch(train) [44][2600/3757] lr: 1.000e-03 eta: 16:09:49 time: 0.260 data_time: 0.018 memory: 6404 grad_norm: 5.4181 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7447 loss: 1.7447 2022/06/30 03:35:54 - mmengine - INFO - Epoch(train) [44][2620/3757] lr: 1.000e-03 eta: 16:09:43 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 6.9754 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1086 loss: 1.1086 2022/06/30 03:36:00 - mmengine - INFO - Epoch(train) [44][2640/3757] lr: 1.000e-03 eta: 16:09:37 time: 0.250 data_time: 0.025 memory: 6404 grad_norm: 5.5427 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5894 loss: 1.5894 2022/06/30 03:36:05 - mmengine - INFO - Epoch(train) [44][2660/3757] lr: 1.000e-03 eta: 16:09:32 time: 0.425 data_time: 0.010 memory: 6404 grad_norm: 6.5085 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1525 loss: 1.1525 2022/06/30 03:36:11 - mmengine - INFO - Epoch(train) [44][2680/3757] lr: 1.000e-03 eta: 16:09:26 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 6.2848 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4571 loss: 1.4571 2022/06/30 03:36:16 - mmengine - INFO - Epoch(train) [44][2700/3757] lr: 1.000e-03 eta: 16:09:21 time: 0.250 data_time: 0.021 memory: 6404 grad_norm: 5.6883 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5610 loss: 1.5610 2022/06/30 03:36:22 - mmengine - INFO - Epoch(train) [44][2720/3757] lr: 1.000e-03 eta: 16:09:15 time: 0.385 data_time: 0.014 memory: 6404 grad_norm: 6.0938 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2827 loss: 1.2827 2022/06/30 03:36:28 - mmengine - INFO - Epoch(train) [44][2740/3757] lr: 1.000e-03 eta: 16:09:10 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 6.0658 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4709 loss: 1.4709 2022/06/30 03:36:33 - mmengine - INFO - Epoch(train) [44][2760/3757] lr: 1.000e-03 eta: 16:09:04 time: 0.251 data_time: 0.014 memory: 6404 grad_norm: 5.1170 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5870 loss: 1.5870 2022/06/30 03:36:38 - mmengine - INFO - Epoch(train) [44][2780/3757] lr: 1.000e-03 eta: 16:08:59 time: 0.256 data_time: 0.013 memory: 6404 grad_norm: 6.6523 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 0.9300 loss: 0.9300 2022/06/30 03:36:44 - mmengine - INFO - Epoch(train) [44][2800/3757] lr: 1.000e-03 eta: 16:08:53 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 6.0410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2605 loss: 1.2605 2022/06/30 03:36:49 - mmengine - INFO - Epoch(train) [44][2820/3757] lr: 1.000e-03 eta: 16:08:48 time: 0.251 data_time: 0.022 memory: 6404 grad_norm: 6.2678 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3569 loss: 1.3569 2022/06/30 03:36:55 - mmengine - INFO - Epoch(train) [44][2840/3757] lr: 1.000e-03 eta: 16:08:42 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.8500 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5255 loss: 1.5255 2022/06/30 03:37:01 - mmengine - INFO - Epoch(train) [44][2860/3757] lr: 1.000e-03 eta: 16:08:37 time: 0.803 data_time: 0.011 memory: 6404 grad_norm: 5.8448 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5881 loss: 1.5881 2022/06/30 03:37:06 - mmengine - INFO - Epoch(train) [44][2880/3757] lr: 1.000e-03 eta: 16:08:31 time: 0.260 data_time: 0.013 memory: 6404 grad_norm: 5.3898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3845 loss: 1.3845 2022/06/30 03:37:11 - mmengine - INFO - Epoch(train) [44][2900/3757] lr: 1.000e-03 eta: 16:08:25 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 6.8343 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5892 loss: 1.5892 2022/06/30 03:37:17 - mmengine - INFO - Epoch(train) [44][2920/3757] lr: 1.000e-03 eta: 16:08:20 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 5.8123 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3895 loss: 1.3895 2022/06/30 03:37:22 - mmengine - INFO - Epoch(train) [44][2940/3757] lr: 1.000e-03 eta: 16:08:14 time: 0.290 data_time: 0.010 memory: 6404 grad_norm: 5.4120 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4479 loss: 1.4479 2022/06/30 03:37:27 - mmengine - INFO - Epoch(train) [44][2960/3757] lr: 1.000e-03 eta: 16:08:08 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.1248 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4925 loss: 1.4925 2022/06/30 03:37:33 - mmengine - INFO - Epoch(train) [44][2980/3757] lr: 1.000e-03 eta: 16:08:03 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 5.3620 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8116 loss: 1.8116 2022/06/30 03:37:38 - mmengine - INFO - Epoch(train) [44][3000/3757] lr: 1.000e-03 eta: 16:07:57 time: 0.247 data_time: 0.034 memory: 6404 grad_norm: 5.8658 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6579 loss: 1.6579 2022/06/30 03:37:44 - mmengine - INFO - Epoch(train) [44][3020/3757] lr: 1.000e-03 eta: 16:07:52 time: 0.247 data_time: 0.015 memory: 6404 grad_norm: 5.8123 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9481 loss: 1.9481 2022/06/30 03:37:49 - mmengine - INFO - Epoch(train) [44][3040/3757] lr: 1.000e-03 eta: 16:07:46 time: 0.269 data_time: 0.008 memory: 6404 grad_norm: 6.0807 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2326 loss: 1.2326 2022/06/30 03:37:55 - mmengine - INFO - Epoch(train) [44][3060/3757] lr: 1.000e-03 eta: 16:07:41 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 5.0904 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4429 loss: 1.4429 2022/06/30 03:38:00 - mmengine - INFO - Epoch(train) [44][3080/3757] lr: 1.000e-03 eta: 16:07:35 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 6.5025 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3263 loss: 1.3263 2022/06/30 03:38:06 - mmengine - INFO - Epoch(train) [44][3100/3757] lr: 1.000e-03 eta: 16:07:29 time: 0.268 data_time: 0.018 memory: 6404 grad_norm: 5.4088 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9865 loss: 0.9865 2022/06/30 03:38:11 - mmengine - INFO - Epoch(train) [44][3120/3757] lr: 1.000e-03 eta: 16:07:24 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 6.1000 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4333 loss: 1.4333 2022/06/30 03:38:17 - mmengine - INFO - Epoch(train) [44][3140/3757] lr: 1.000e-03 eta: 16:07:19 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 6.7744 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1833 loss: 1.1833 2022/06/30 03:38:23 - mmengine - INFO - Epoch(train) [44][3160/3757] lr: 1.000e-03 eta: 16:07:13 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 6.2170 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4365 loss: 1.4365 2022/06/30 03:38:28 - mmengine - INFO - Epoch(train) [44][3180/3757] lr: 1.000e-03 eta: 16:07:08 time: 0.271 data_time: 0.014 memory: 6404 grad_norm: 6.0793 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5808 loss: 1.5808 2022/06/30 03:38:34 - mmengine - INFO - Epoch(train) [44][3200/3757] lr: 1.000e-03 eta: 16:07:03 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.2620 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2050 loss: 1.2050 2022/06/30 03:38:39 - mmengine - INFO - Epoch(train) [44][3220/3757] lr: 1.000e-03 eta: 16:06:57 time: 0.265 data_time: 0.010 memory: 6404 grad_norm: 6.4845 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4807 loss: 1.4807 2022/06/30 03:38:45 - mmengine - INFO - Epoch(train) [44][3240/3757] lr: 1.000e-03 eta: 16:06:51 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 5.9060 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2879 loss: 1.2879 2022/06/30 03:38:50 - mmengine - INFO - Epoch(train) [44][3260/3757] lr: 1.000e-03 eta: 16:06:46 time: 0.248 data_time: 0.022 memory: 6404 grad_norm: 7.4314 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2317 loss: 1.2317 2022/06/30 03:38:56 - mmengine - INFO - Epoch(train) [44][3280/3757] lr: 1.000e-03 eta: 16:06:40 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 5.9790 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3146 loss: 1.3146 2022/06/30 03:39:01 - mmengine - INFO - Epoch(train) [44][3300/3757] lr: 1.000e-03 eta: 16:06:35 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 4.6854 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5171 loss: 1.5171 2022/06/30 03:39:07 - mmengine - INFO - Epoch(train) [44][3320/3757] lr: 1.000e-03 eta: 16:06:29 time: 0.249 data_time: 0.017 memory: 6404 grad_norm: 5.6659 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1715 loss: 1.1715 2022/06/30 03:39:13 - mmengine - INFO - Epoch(train) [44][3340/3757] lr: 1.000e-03 eta: 16:06:25 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.7018 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5462 loss: 1.5462 2022/06/30 03:39:18 - mmengine - INFO - Epoch(train) [44][3360/3757] lr: 1.000e-03 eta: 16:06:19 time: 0.306 data_time: 0.007 memory: 6404 grad_norm: 5.2772 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6758 loss: 1.6758 2022/06/30 03:39:23 - mmengine - INFO - Epoch(train) [44][3380/3757] lr: 1.000e-03 eta: 16:06:13 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 6.2643 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8017 loss: 1.8017 2022/06/30 03:39:29 - mmengine - INFO - Epoch(train) [44][3400/3757] lr: 1.000e-03 eta: 16:06:08 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 5.8952 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1205 loss: 1.1205 2022/06/30 03:39:35 - mmengine - INFO - Epoch(train) [44][3420/3757] lr: 1.000e-03 eta: 16:06:02 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 6.7604 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5350 loss: 1.5350 2022/06/30 03:39:40 - mmengine - INFO - Epoch(train) [44][3440/3757] lr: 1.000e-03 eta: 16:05:56 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.8089 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2287 loss: 1.2287 2022/06/30 03:39:42 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 03:39:45 - mmengine - INFO - Epoch(train) [44][3460/3757] lr: 1.000e-03 eta: 16:05:51 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 6.8424 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6735 loss: 1.6735 2022/06/30 03:39:51 - mmengine - INFO - Epoch(train) [44][3480/3757] lr: 1.000e-03 eta: 16:05:46 time: 0.819 data_time: 0.011 memory: 6404 grad_norm: 5.2648 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5454 loss: 1.5454 2022/06/30 03:39:56 - mmengine - INFO - Epoch(train) [44][3500/3757] lr: 1.000e-03 eta: 16:05:40 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 6.1691 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3491 loss: 1.3491 2022/06/30 03:40:02 - mmengine - INFO - Epoch(train) [44][3520/3757] lr: 1.000e-03 eta: 16:05:34 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 6.4951 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4499 loss: 1.4499 2022/06/30 03:40:08 - mmengine - INFO - Epoch(train) [44][3540/3757] lr: 1.000e-03 eta: 16:05:30 time: 0.583 data_time: 0.011 memory: 6404 grad_norm: 4.8896 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3632 loss: 1.3632 2022/06/30 03:40:13 - mmengine - INFO - Epoch(train) [44][3560/3757] lr: 1.000e-03 eta: 16:05:24 time: 0.259 data_time: 0.015 memory: 6404 grad_norm: 5.3061 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5449 loss: 1.5449 2022/06/30 03:40:19 - mmengine - INFO - Epoch(train) [44][3580/3757] lr: 1.000e-03 eta: 16:05:18 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.4958 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3062 loss: 1.3062 2022/06/30 03:40:24 - mmengine - INFO - Epoch(train) [44][3600/3757] lr: 1.000e-03 eta: 16:05:12 time: 0.344 data_time: 0.014 memory: 6404 grad_norm: 5.8722 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1636 loss: 1.1636 2022/06/30 03:40:29 - mmengine - INFO - Epoch(train) [44][3620/3757] lr: 1.000e-03 eta: 16:05:07 time: 0.260 data_time: 0.016 memory: 6404 grad_norm: 6.4156 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0303 loss: 2.0303 2022/06/30 03:40:35 - mmengine - INFO - Epoch(train) [44][3640/3757] lr: 1.000e-03 eta: 16:05:02 time: 0.263 data_time: 0.011 memory: 6404 grad_norm: 4.9251 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7915 loss: 1.7915 2022/06/30 03:40:41 - mmengine - INFO - Epoch(train) [44][3660/3757] lr: 1.000e-03 eta: 16:04:56 time: 0.282 data_time: 0.007 memory: 6404 grad_norm: 6.0973 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3174 loss: 1.3174 2022/06/30 03:40:46 - mmengine - INFO - Epoch(train) [44][3680/3757] lr: 1.000e-03 eta: 16:04:50 time: 0.240 data_time: 0.011 memory: 6404 grad_norm: 5.9141 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4541 loss: 1.4541 2022/06/30 03:40:52 - mmengine - INFO - Epoch(train) [44][3700/3757] lr: 1.000e-03 eta: 16:04:45 time: 0.260 data_time: 0.006 memory: 6404 grad_norm: 5.3553 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5282 loss: 1.5282 2022/06/30 03:40:57 - mmengine - INFO - Epoch(train) [44][3720/3757] lr: 1.000e-03 eta: 16:04:40 time: 0.276 data_time: 0.009 memory: 6404 grad_norm: 6.2831 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1688 loss: 1.1688 2022/06/30 03:41:02 - mmengine - INFO - Epoch(train) [44][3740/3757] lr: 1.000e-03 eta: 16:04:34 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.9577 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6777 loss: 1.6777 2022/06/30 03:41:06 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 03:41:14 - mmengine - INFO - Epoch(val) [44][20/310] eta: 0:01:32 time: 0.084 data_time: 0.005 memory: 6404 2022/06/30 03:41:20 - mmengine - INFO - Epoch(val) [44][40/310] eta: 0:01:25 time: 0.087 data_time: 0.007 memory: 1479 2022/06/30 03:41:23 - mmengine - INFO - Epoch(val) [44][60/310] eta: 0:00:21 time: 0.098 data_time: 0.011 memory: 1479 2022/06/30 03:41:29 - mmengine - INFO - Epoch(val) [44][80/310] eta: 0:01:15 time: 0.088 data_time: 0.007 memory: 1479 2022/06/30 03:41:36 - mmengine - INFO - Epoch(val) [44][100/310] eta: 0:00:59 time: 0.800 data_time: 0.724 memory: 1479 2022/06/30 03:41:39 - mmengine - INFO - Epoch(val) [44][120/310] eta: 0:00:23 time: 0.087 data_time: 0.010 memory: 1479 2022/06/30 03:41:45 - mmengine - INFO - Epoch(val) [44][140/310] eta: 0:00:56 time: 0.079 data_time: 0.006 memory: 1479 2022/06/30 03:41:52 - mmengine - INFO - Epoch(val) [44][160/310] eta: 0:00:50 time: 2.035 data_time: 1.954 memory: 1479 2022/06/30 03:41:56 - mmengine - INFO - Epoch(val) [44][180/310] eta: 0:00:36 time: 0.081 data_time: 0.006 memory: 1479 2022/06/30 03:42:02 - mmengine - INFO - Epoch(val) [44][200/310] eta: 0:00:36 time: 0.089 data_time: 0.006 memory: 1479 2022/06/30 03:42:07 - mmengine - INFO - Epoch(val) [44][220/310] eta: 0:00:25 time: 0.944 data_time: 0.858 memory: 1479 2022/06/30 03:42:11 - mmengine - INFO - Epoch(val) [44][240/310] eta: 0:00:21 time: 0.086 data_time: 0.006 memory: 1479 2022/06/30 03:42:17 - mmengine - INFO - Epoch(val) [44][260/310] eta: 0:00:17 time: 0.077 data_time: 0.005 memory: 1479 2022/06/30 03:42:23 - mmengine - INFO - Epoch(val) [44][280/310] eta: 0:00:08 time: 1.738 data_time: 1.657 memory: 1479 2022/06/30 03:42:27 - mmengine - INFO - Epoch(val) [44][300/310] eta: 0:00:02 time: 0.083 data_time: 0.007 memory: 1479 2022/06/30 03:42:30 - mmengine - INFO - Epoch(val) [44][310/310] acc/top1: 0.6543 acc/top5: 0.8580 acc/mean1: 0.6542 2022/06/30 03:42:39 - mmengine - INFO - Epoch(train) [45][20/3757] lr: 1.000e-03 eta: 16:04:25 time: 0.242 data_time: 0.011 memory: 6404 grad_norm: 6.1627 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4204 loss: 1.4204 2022/06/30 03:42:45 - mmengine - INFO - Epoch(train) [45][40/3757] lr: 1.000e-03 eta: 16:04:20 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 6.4311 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1857 loss: 1.1857 2022/06/30 03:42:50 - mmengine - INFO - Epoch(train) [45][60/3757] lr: 1.000e-03 eta: 16:04:14 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 7.0875 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0575 loss: 1.0575 2022/06/30 03:42:56 - mmengine - INFO - Epoch(train) [45][80/3757] lr: 1.000e-03 eta: 16:04:09 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.0341 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3568 loss: 1.3568 2022/06/30 03:43:01 - mmengine - INFO - Epoch(train) [45][100/3757] lr: 1.000e-03 eta: 16:04:03 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 4.7277 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3727 loss: 1.3727 2022/06/30 03:43:06 - mmengine - INFO - Epoch(train) [45][120/3757] lr: 1.000e-03 eta: 16:03:57 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 7.4685 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6993 loss: 1.6993 2022/06/30 03:43:11 - mmengine - INFO - Epoch(train) [45][140/3757] lr: 1.000e-03 eta: 16:03:51 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 6.3616 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3040 loss: 1.3040 2022/06/30 03:43:17 - mmengine - INFO - Epoch(train) [45][160/3757] lr: 1.000e-03 eta: 16:03:46 time: 0.244 data_time: 0.009 memory: 6404 grad_norm: 6.1930 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1311 loss: 1.1311 2022/06/30 03:43:23 - mmengine - INFO - Epoch(train) [45][180/3757] lr: 1.000e-03 eta: 16:03:41 time: 0.388 data_time: 0.007 memory: 6404 grad_norm: 5.9029 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6861 loss: 1.6861 2022/06/30 03:43:29 - mmengine - INFO - Epoch(train) [45][200/3757] lr: 1.000e-03 eta: 16:03:35 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.9653 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3153 loss: 1.3153 2022/06/30 03:43:34 - mmengine - INFO - Epoch(train) [45][220/3757] lr: 1.000e-03 eta: 16:03:30 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 6.8240 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3827 loss: 1.3827 2022/06/30 03:43:40 - mmengine - INFO - Epoch(train) [45][240/3757] lr: 1.000e-03 eta: 16:03:24 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 6.6669 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1916 loss: 1.1916 2022/06/30 03:43:45 - mmengine - INFO - Epoch(train) [45][260/3757] lr: 1.000e-03 eta: 16:03:19 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 6.1911 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1998 loss: 1.1998 2022/06/30 03:43:50 - mmengine - INFO - Epoch(train) [45][280/3757] lr: 1.000e-03 eta: 16:03:13 time: 0.301 data_time: 0.007 memory: 6404 grad_norm: 7.0348 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3364 loss: 1.3364 2022/06/30 03:43:56 - mmengine - INFO - Epoch(train) [45][300/3757] lr: 1.000e-03 eta: 16:03:08 time: 0.273 data_time: 0.007 memory: 6404 grad_norm: 6.0360 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5919 loss: 1.5919 2022/06/30 03:44:02 - mmengine - INFO - Epoch(train) [45][320/3757] lr: 1.000e-03 eta: 16:03:02 time: 0.246 data_time: 0.016 memory: 6404 grad_norm: 6.6479 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2197 loss: 1.2197 2022/06/30 03:44:07 - mmengine - INFO - Epoch(train) [45][340/3757] lr: 1.000e-03 eta: 16:02:57 time: 0.260 data_time: 0.009 memory: 6404 grad_norm: 5.7584 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7200 loss: 1.7200 2022/06/30 03:44:14 - mmengine - INFO - Epoch(train) [45][360/3757] lr: 1.000e-03 eta: 16:02:53 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 5.5393 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2516 loss: 1.2516 2022/06/30 03:44:19 - mmengine - INFO - Epoch(train) [45][380/3757] lr: 1.000e-03 eta: 16:02:46 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.7801 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4480 loss: 1.4480 2022/06/30 03:44:24 - mmengine - INFO - Epoch(train) [45][400/3757] lr: 1.000e-03 eta: 16:02:41 time: 0.265 data_time: 0.009 memory: 6404 grad_norm: 6.7224 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8404 loss: 1.8404 2022/06/30 03:44:30 - mmengine - INFO - Epoch(train) [45][420/3757] lr: 1.000e-03 eta: 16:02:36 time: 0.292 data_time: 0.010 memory: 6404 grad_norm: 5.4801 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5808 loss: 1.5808 2022/06/30 03:44:36 - mmengine - INFO - Epoch(train) [45][440/3757] lr: 1.000e-03 eta: 16:02:30 time: 0.245 data_time: 0.015 memory: 6404 grad_norm: 6.4236 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6039 loss: 1.6039 2022/06/30 03:44:41 - mmengine - INFO - Epoch(train) [45][460/3757] lr: 1.000e-03 eta: 16:02:24 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 5.7896 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4426 loss: 1.4426 2022/06/30 03:44:46 - mmengine - INFO - Epoch(train) [45][480/3757] lr: 1.000e-03 eta: 16:02:19 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 6.0355 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6053 loss: 1.6053 2022/06/30 03:44:52 - mmengine - INFO - Epoch(train) [45][500/3757] lr: 1.000e-03 eta: 16:02:14 time: 0.245 data_time: 0.014 memory: 6404 grad_norm: 5.6717 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2755 loss: 1.2755 2022/06/30 03:44:57 - mmengine - INFO - Epoch(train) [45][520/3757] lr: 1.000e-03 eta: 16:02:08 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.8066 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3145 loss: 1.3145 2022/06/30 03:45:02 - mmengine - INFO - Epoch(train) [45][540/3757] lr: 1.000e-03 eta: 16:02:02 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.0515 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2419 loss: 1.2419 2022/06/30 03:45:08 - mmengine - INFO - Epoch(train) [45][560/3757] lr: 1.000e-03 eta: 16:01:56 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.5801 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5861 loss: 1.5861 2022/06/30 03:45:14 - mmengine - INFO - Epoch(train) [45][580/3757] lr: 1.000e-03 eta: 16:01:52 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.5264 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8648 loss: 0.8648 2022/06/30 03:45:19 - mmengine - INFO - Epoch(train) [45][600/3757] lr: 1.000e-03 eta: 16:01:46 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 6.6068 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3995 loss: 1.3995 2022/06/30 03:45:24 - mmengine - INFO - Epoch(train) [45][620/3757] lr: 1.000e-03 eta: 16:01:40 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.5627 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4029 loss: 1.4029 2022/06/30 03:45:29 - mmengine - INFO - Epoch(train) [45][640/3757] lr: 1.000e-03 eta: 16:01:34 time: 0.247 data_time: 0.014 memory: 6404 grad_norm: 6.0518 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4258 loss: 1.4258 2022/06/30 03:45:35 - mmengine - INFO - Epoch(train) [45][660/3757] lr: 1.000e-03 eta: 16:01:28 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.7006 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3304 loss: 1.3304 2022/06/30 03:45:41 - mmengine - INFO - Epoch(train) [45][680/3757] lr: 1.000e-03 eta: 16:01:23 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.1029 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5774 loss: 1.5774 2022/06/30 03:45:44 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 03:45:46 - mmengine - INFO - Epoch(train) [45][700/3757] lr: 1.000e-03 eta: 16:01:18 time: 0.254 data_time: 0.017 memory: 6404 grad_norm: 5.7973 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2953 loss: 1.2953 2022/06/30 03:45:52 - mmengine - INFO - Epoch(train) [45][720/3757] lr: 1.000e-03 eta: 16:01:12 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.9882 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0339 loss: 1.0339 2022/06/30 03:45:57 - mmengine - INFO - Epoch(train) [45][740/3757] lr: 1.000e-03 eta: 16:01:07 time: 0.245 data_time: 0.015 memory: 6404 grad_norm: 6.2546 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4501 loss: 1.4501 2022/06/30 03:46:03 - mmengine - INFO - Epoch(train) [45][760/3757] lr: 1.000e-03 eta: 16:01:01 time: 0.238 data_time: 0.020 memory: 6404 grad_norm: 5.4423 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6140 loss: 1.6140 2022/06/30 03:46:08 - mmengine - INFO - Epoch(train) [45][780/3757] lr: 1.000e-03 eta: 16:00:55 time: 0.258 data_time: 0.015 memory: 6404 grad_norm: 4.6367 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5719 loss: 1.5719 2022/06/30 03:46:14 - mmengine - INFO - Epoch(train) [45][800/3757] lr: 1.000e-03 eta: 16:00:51 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.8809 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2176 loss: 1.2176 2022/06/30 03:46:20 - mmengine - INFO - Epoch(train) [45][820/3757] lr: 1.000e-03 eta: 16:00:45 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 5.3804 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2734 loss: 1.2734 2022/06/30 03:46:25 - mmengine - INFO - Epoch(train) [45][840/3757] lr: 1.000e-03 eta: 16:00:39 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.0926 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3230 loss: 1.3230 2022/06/30 03:46:30 - mmengine - INFO - Epoch(train) [45][860/3757] lr: 1.000e-03 eta: 16:00:33 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.1459 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2513 loss: 1.2513 2022/06/30 03:46:36 - mmengine - INFO - Epoch(train) [45][880/3757] lr: 1.000e-03 eta: 16:00:28 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.8618 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4064 loss: 1.4064 2022/06/30 03:46:41 - mmengine - INFO - Epoch(train) [45][900/3757] lr: 1.000e-03 eta: 16:00:22 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 5.9394 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2584 loss: 1.2584 2022/06/30 03:46:46 - mmengine - INFO - Epoch(train) [45][920/3757] lr: 1.000e-03 eta: 16:00:16 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 5.3705 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3688 loss: 1.3688 2022/06/30 03:46:52 - mmengine - INFO - Epoch(train) [45][940/3757] lr: 1.000e-03 eta: 16:00:11 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.6087 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3215 loss: 1.3215 2022/06/30 03:46:58 - mmengine - INFO - Epoch(train) [45][960/3757] lr: 1.000e-03 eta: 16:00:06 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 5.8127 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4100 loss: 1.4100 2022/06/30 03:47:03 - mmengine - INFO - Epoch(train) [45][980/3757] lr: 1.000e-03 eta: 16:00:00 time: 0.242 data_time: 0.008 memory: 6404 grad_norm: 5.7580 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9298 loss: 0.9298 2022/06/30 03:47:08 - mmengine - INFO - Epoch(train) [45][1000/3757] lr: 1.000e-03 eta: 15:59:54 time: 0.332 data_time: 0.035 memory: 6404 grad_norm: 5.7103 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1117 loss: 1.1117 2022/06/30 03:47:14 - mmengine - INFO - Epoch(train) [45][1020/3757] lr: 1.000e-03 eta: 15:59:49 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 5.9508 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3101 loss: 1.3101 2022/06/30 03:47:19 - mmengine - INFO - Epoch(train) [45][1040/3757] lr: 1.000e-03 eta: 15:59:43 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 5.5456 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0021 loss: 1.0021 2022/06/30 03:47:25 - mmengine - INFO - Epoch(train) [45][1060/3757] lr: 1.000e-03 eta: 15:59:38 time: 0.251 data_time: 0.023 memory: 6404 grad_norm: 6.3389 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3219 loss: 1.3219 2022/06/30 03:47:30 - mmengine - INFO - Epoch(train) [45][1080/3757] lr: 1.000e-03 eta: 15:59:32 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 6.6805 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4417 loss: 1.4417 2022/06/30 03:47:36 - mmengine - INFO - Epoch(train) [45][1100/3757] lr: 1.000e-03 eta: 15:59:27 time: 0.274 data_time: 0.007 memory: 6404 grad_norm: 5.8769 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3921 loss: 1.3921 2022/06/30 03:47:42 - mmengine - INFO - Epoch(train) [45][1120/3757] lr: 1.000e-03 eta: 15:59:22 time: 0.866 data_time: 0.016 memory: 6404 grad_norm: 6.4677 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4730 loss: 1.4730 2022/06/30 03:47:47 - mmengine - INFO - Epoch(train) [45][1140/3757] lr: 1.000e-03 eta: 15:59:16 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 6.1733 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4963 loss: 1.4963 2022/06/30 03:47:53 - mmengine - INFO - Epoch(train) [45][1160/3757] lr: 1.000e-03 eta: 15:59:11 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.6596 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1323 loss: 1.1323 2022/06/30 03:47:58 - mmengine - INFO - Epoch(train) [45][1180/3757] lr: 1.000e-03 eta: 15:59:05 time: 0.260 data_time: 0.012 memory: 6404 grad_norm: 6.1853 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0031 loss: 1.0031 2022/06/30 03:48:04 - mmengine - INFO - Epoch(train) [45][1200/3757] lr: 1.000e-03 eta: 15:59:00 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.8362 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2895 loss: 1.2895 2022/06/30 03:48:09 - mmengine - INFO - Epoch(train) [45][1220/3757] lr: 1.000e-03 eta: 15:58:54 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.3167 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3537 loss: 1.3537 2022/06/30 03:48:15 - mmengine - INFO - Epoch(train) [45][1240/3757] lr: 1.000e-03 eta: 15:58:49 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 7.0407 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4518 loss: 1.4518 2022/06/30 03:48:20 - mmengine - INFO - Epoch(train) [45][1260/3757] lr: 1.000e-03 eta: 15:58:43 time: 0.245 data_time: 0.012 memory: 6404 grad_norm: 5.9741 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4812 loss: 1.4812 2022/06/30 03:48:25 - mmengine - INFO - Epoch(train) [45][1280/3757] lr: 1.000e-03 eta: 15:58:37 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 5.6253 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3270 loss: 1.3270 2022/06/30 03:48:31 - mmengine - INFO - Epoch(train) [45][1300/3757] lr: 1.000e-03 eta: 15:58:32 time: 0.249 data_time: 0.017 memory: 6404 grad_norm: 6.9745 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4306 loss: 1.4306 2022/06/30 03:48:37 - mmengine - INFO - Epoch(train) [45][1320/3757] lr: 1.000e-03 eta: 15:58:26 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.7802 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4310 loss: 1.4310 2022/06/30 03:48:42 - mmengine - INFO - Epoch(train) [45][1340/3757] lr: 1.000e-03 eta: 15:58:21 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 5.8769 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4748 loss: 1.4748 2022/06/30 03:48:47 - mmengine - INFO - Epoch(train) [45][1360/3757] lr: 1.000e-03 eta: 15:58:15 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 6.8558 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0725 loss: 1.0725 2022/06/30 03:48:53 - mmengine - INFO - Epoch(train) [45][1380/3757] lr: 1.000e-03 eta: 15:58:09 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.6936 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4603 loss: 1.4603 2022/06/30 03:48:58 - mmengine - INFO - Epoch(train) [45][1400/3757] lr: 1.000e-03 eta: 15:58:04 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.6429 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.4066 loss: 1.4066 2022/06/30 03:49:04 - mmengine - INFO - Epoch(train) [45][1420/3757] lr: 1.000e-03 eta: 15:57:59 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 6.5852 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6153 loss: 1.6153 2022/06/30 03:49:10 - mmengine - INFO - Epoch(train) [45][1440/3757] lr: 1.000e-03 eta: 15:57:54 time: 0.264 data_time: 0.010 memory: 6404 grad_norm: 5.6456 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4512 loss: 1.4512 2022/06/30 03:49:16 - mmengine - INFO - Epoch(train) [45][1460/3757] lr: 1.000e-03 eta: 15:57:48 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 6.5172 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6077 loss: 1.6077 2022/06/30 03:49:21 - mmengine - INFO - Epoch(train) [45][1480/3757] lr: 1.000e-03 eta: 15:57:42 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.4892 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2161 loss: 1.2161 2022/06/30 03:49:26 - mmengine - INFO - Epoch(train) [45][1500/3757] lr: 1.000e-03 eta: 15:57:37 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.9979 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1124 loss: 1.1124 2022/06/30 03:49:32 - mmengine - INFO - Epoch(train) [45][1520/3757] lr: 1.000e-03 eta: 15:57:32 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.7930 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4193 loss: 1.4193 2022/06/30 03:49:37 - mmengine - INFO - Epoch(train) [45][1540/3757] lr: 1.000e-03 eta: 15:57:26 time: 0.293 data_time: 0.007 memory: 6404 grad_norm: 6.5878 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6345 loss: 1.6345 2022/06/30 03:49:43 - mmengine - INFO - Epoch(train) [45][1560/3757] lr: 1.000e-03 eta: 15:57:20 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 5.9840 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2964 loss: 1.2964 2022/06/30 03:49:48 - mmengine - INFO - Epoch(train) [45][1580/3757] lr: 1.000e-03 eta: 15:57:15 time: 0.236 data_time: 0.010 memory: 6404 grad_norm: 5.1538 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4587 loss: 1.4587 2022/06/30 03:49:54 - mmengine - INFO - Epoch(train) [45][1600/3757] lr: 1.000e-03 eta: 15:57:10 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 5.6843 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2741 loss: 1.2741 2022/06/30 03:49:59 - mmengine - INFO - Epoch(train) [45][1620/3757] lr: 1.000e-03 eta: 15:57:04 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 5.2310 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5577 loss: 1.5577 2022/06/30 03:50:05 - mmengine - INFO - Epoch(train) [45][1640/3757] lr: 1.000e-03 eta: 15:56:59 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.1075 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4989 loss: 1.4989 2022/06/30 03:50:10 - mmengine - INFO - Epoch(train) [45][1660/3757] lr: 1.000e-03 eta: 15:56:53 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.5622 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3658 loss: 1.3658 2022/06/30 03:50:16 - mmengine - INFO - Epoch(train) [45][1680/3757] lr: 1.000e-03 eta: 15:56:47 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 5.6568 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7272 loss: 1.7272 2022/06/30 03:50:19 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 03:50:21 - mmengine - INFO - Epoch(train) [45][1700/3757] lr: 1.000e-03 eta: 15:56:42 time: 0.261 data_time: 0.012 memory: 6404 grad_norm: 6.0844 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8132 loss: 1.8132 2022/06/30 03:50:27 - mmengine - INFO - Epoch(train) [45][1720/3757] lr: 1.000e-03 eta: 15:56:36 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.2672 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4400 loss: 1.4400 2022/06/30 03:50:32 - mmengine - INFO - Epoch(train) [45][1740/3757] lr: 1.000e-03 eta: 15:56:31 time: 0.264 data_time: 0.013 memory: 6404 grad_norm: 6.2869 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1753 loss: 1.1753 2022/06/30 03:50:38 - mmengine - INFO - Epoch(train) [45][1760/3757] lr: 1.000e-03 eta: 15:56:25 time: 0.282 data_time: 0.006 memory: 6404 grad_norm: 5.7566 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4654 loss: 1.4654 2022/06/30 03:50:43 - mmengine - INFO - Epoch(train) [45][1780/3757] lr: 1.000e-03 eta: 15:56:19 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 6.4583 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4061 loss: 1.4061 2022/06/30 03:50:48 - mmengine - INFO - Epoch(train) [45][1800/3757] lr: 1.000e-03 eta: 15:56:14 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 5.4145 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9782 loss: 0.9782 2022/06/30 03:50:55 - mmengine - INFO - Epoch(train) [45][1820/3757] lr: 1.000e-03 eta: 15:56:09 time: 0.271 data_time: 0.007 memory: 6404 grad_norm: 5.5884 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9819 loss: 0.9819 2022/06/30 03:51:00 - mmengine - INFO - Epoch(train) [45][1840/3757] lr: 1.000e-03 eta: 15:56:03 time: 0.243 data_time: 0.014 memory: 6404 grad_norm: 5.7508 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6107 loss: 1.6107 2022/06/30 03:51:06 - mmengine - INFO - Epoch(train) [45][1860/3757] lr: 1.000e-03 eta: 15:55:58 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 6.1041 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3388 loss: 1.3388 2022/06/30 03:51:11 - mmengine - INFO - Epoch(train) [45][1880/3757] lr: 1.000e-03 eta: 15:55:52 time: 0.278 data_time: 0.007 memory: 6404 grad_norm: 5.7921 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2833 loss: 1.2833 2022/06/30 03:51:17 - mmengine - INFO - Epoch(train) [45][1900/3757] lr: 1.000e-03 eta: 15:55:47 time: 0.267 data_time: 0.010 memory: 6404 grad_norm: 5.4578 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3612 loss: 1.3612 2022/06/30 03:51:22 - mmengine - INFO - Epoch(train) [45][1920/3757] lr: 1.000e-03 eta: 15:55:41 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 6.1235 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 2.2032 loss: 2.2032 2022/06/30 03:51:27 - mmengine - INFO - Epoch(train) [45][1940/3757] lr: 1.000e-03 eta: 15:55:35 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.9051 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5819 loss: 1.5819 2022/06/30 03:51:32 - mmengine - INFO - Epoch(train) [45][1960/3757] lr: 1.000e-03 eta: 15:55:29 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 5.3440 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6385 loss: 1.6385 2022/06/30 03:51:37 - mmengine - INFO - Epoch(train) [45][1980/3757] lr: 1.000e-03 eta: 15:55:23 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.9124 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2471 loss: 1.2471 2022/06/30 03:51:43 - mmengine - INFO - Epoch(train) [45][2000/3757] lr: 1.000e-03 eta: 15:55:18 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 6.2754 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2891 loss: 1.2891 2022/06/30 03:51:48 - mmengine - INFO - Epoch(train) [45][2020/3757] lr: 1.000e-03 eta: 15:55:12 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 6.2424 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3228 loss: 1.3228 2022/06/30 03:51:55 - mmengine - INFO - Epoch(train) [45][2040/3757] lr: 1.000e-03 eta: 15:55:08 time: 0.245 data_time: 0.012 memory: 6404 grad_norm: 6.0871 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3917 loss: 1.3917 2022/06/30 03:52:00 - mmengine - INFO - Epoch(train) [45][2060/3757] lr: 1.000e-03 eta: 15:55:02 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 5.9379 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1877 loss: 1.1877 2022/06/30 03:52:05 - mmengine - INFO - Epoch(train) [45][2080/3757] lr: 1.000e-03 eta: 15:54:56 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.5429 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1559 loss: 1.1559 2022/06/30 03:52:10 - mmengine - INFO - Epoch(train) [45][2100/3757] lr: 1.000e-03 eta: 15:54:50 time: 0.254 data_time: 0.022 memory: 6404 grad_norm: 5.8548 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1299 loss: 1.1299 2022/06/30 03:52:16 - mmengine - INFO - Epoch(train) [45][2120/3757] lr: 1.000e-03 eta: 15:54:45 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.5135 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3138 loss: 1.3138 2022/06/30 03:52:21 - mmengine - INFO - Epoch(train) [45][2140/3757] lr: 1.000e-03 eta: 15:54:39 time: 0.248 data_time: 0.017 memory: 6404 grad_norm: 5.5753 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4410 loss: 1.4410 2022/06/30 03:52:27 - mmengine - INFO - Epoch(train) [45][2160/3757] lr: 1.000e-03 eta: 15:54:34 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.7326 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.1563 loss: 1.1563 2022/06/30 03:52:32 - mmengine - INFO - Epoch(train) [45][2180/3757] lr: 1.000e-03 eta: 15:54:28 time: 0.302 data_time: 0.007 memory: 6404 grad_norm: 5.8497 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3819 loss: 1.3819 2022/06/30 03:52:38 - mmengine - INFO - Epoch(train) [45][2200/3757] lr: 1.000e-03 eta: 15:54:24 time: 0.255 data_time: 0.012 memory: 6404 grad_norm: 6.1065 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5262 loss: 1.5262 2022/06/30 03:52:44 - mmengine - INFO - Epoch(train) [45][2220/3757] lr: 1.000e-03 eta: 15:54:18 time: 0.245 data_time: 0.020 memory: 6404 grad_norm: 6.1589 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3767 loss: 1.3767 2022/06/30 03:52:49 - mmengine - INFO - Epoch(train) [45][2240/3757] lr: 1.000e-03 eta: 15:54:12 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.7826 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2987 loss: 1.2987 2022/06/30 03:52:54 - mmengine - INFO - Epoch(train) [45][2260/3757] lr: 1.000e-03 eta: 15:54:06 time: 0.240 data_time: 0.016 memory: 6404 grad_norm: 5.5466 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5365 loss: 1.5365 2022/06/30 03:52:59 - mmengine - INFO - Epoch(train) [45][2280/3757] lr: 1.000e-03 eta: 15:54:00 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 5.6840 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5862 loss: 1.5862 2022/06/30 03:53:05 - mmengine - INFO - Epoch(train) [45][2300/3757] lr: 1.000e-03 eta: 15:53:54 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 5.0882 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3598 loss: 1.3598 2022/06/30 03:53:10 - mmengine - INFO - Epoch(train) [45][2320/3757] lr: 1.000e-03 eta: 15:53:48 time: 0.250 data_time: 0.014 memory: 6404 grad_norm: 5.2145 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0906 loss: 1.0906 2022/06/30 03:53:16 - mmengine - INFO - Epoch(train) [45][2340/3757] lr: 1.000e-03 eta: 15:53:44 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.9150 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4284 loss: 1.4284 2022/06/30 03:53:22 - mmengine - INFO - Epoch(train) [45][2360/3757] lr: 1.000e-03 eta: 15:53:38 time: 0.239 data_time: 0.006 memory: 6404 grad_norm: 6.4455 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0703 loss: 1.0703 2022/06/30 03:53:27 - mmengine - INFO - Epoch(train) [45][2380/3757] lr: 1.000e-03 eta: 15:53:33 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 6.2644 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4969 loss: 1.4969 2022/06/30 03:53:32 - mmengine - INFO - Epoch(train) [45][2400/3757] lr: 1.000e-03 eta: 15:53:27 time: 0.241 data_time: 0.006 memory: 6404 grad_norm: 4.6483 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3897 loss: 1.3897 2022/06/30 03:53:38 - mmengine - INFO - Epoch(train) [45][2420/3757] lr: 1.000e-03 eta: 15:53:21 time: 0.260 data_time: 0.009 memory: 6404 grad_norm: 5.8755 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5813 loss: 1.5813 2022/06/30 03:53:43 - mmengine - INFO - Epoch(train) [45][2440/3757] lr: 1.000e-03 eta: 15:53:16 time: 0.281 data_time: 0.010 memory: 6404 grad_norm: 7.0833 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.3508 loss: 1.3508 2022/06/30 03:53:50 - mmengine - INFO - Epoch(train) [45][2460/3757] lr: 1.000e-03 eta: 15:53:11 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 5.4890 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0011 loss: 1.0011 2022/06/30 03:53:55 - mmengine - INFO - Epoch(train) [45][2480/3757] lr: 1.000e-03 eta: 15:53:06 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 5.6195 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9857 loss: 0.9857 2022/06/30 03:54:00 - mmengine - INFO - Epoch(train) [45][2500/3757] lr: 1.000e-03 eta: 15:53:00 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 5.1977 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4039 loss: 1.4039 2022/06/30 03:54:05 - mmengine - INFO - Epoch(train) [45][2520/3757] lr: 1.000e-03 eta: 15:52:54 time: 0.246 data_time: 0.014 memory: 6404 grad_norm: 5.5465 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7143 loss: 1.7143 2022/06/30 03:54:11 - mmengine - INFO - Epoch(train) [45][2540/3757] lr: 1.000e-03 eta: 15:52:48 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 5.2634 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4892 loss: 1.4892 2022/06/30 03:54:16 - mmengine - INFO - Epoch(train) [45][2560/3757] lr: 1.000e-03 eta: 15:52:43 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.8011 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2994 loss: 1.2994 2022/06/30 03:54:22 - mmengine - INFO - Epoch(train) [45][2580/3757] lr: 1.000e-03 eta: 15:52:37 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 5.2173 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1021 loss: 1.1021 2022/06/30 03:54:27 - mmengine - INFO - Epoch(train) [45][2600/3757] lr: 1.000e-03 eta: 15:52:32 time: 0.243 data_time: 0.013 memory: 6404 grad_norm: 5.6918 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4741 loss: 1.4741 2022/06/30 03:54:33 - mmengine - INFO - Epoch(train) [45][2620/3757] lr: 1.000e-03 eta: 15:52:26 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.8740 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0328 loss: 2.0328 2022/06/30 03:54:38 - mmengine - INFO - Epoch(train) [45][2640/3757] lr: 1.000e-03 eta: 15:52:20 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 6.2517 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9790 loss: 0.9790 2022/06/30 03:54:44 - mmengine - INFO - Epoch(train) [45][2660/3757] lr: 1.000e-03 eta: 15:52:16 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 5.2887 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0018 loss: 1.0018 2022/06/30 03:54:50 - mmengine - INFO - Epoch(train) [45][2680/3757] lr: 1.000e-03 eta: 15:52:10 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.6782 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4380 loss: 1.4380 2022/06/30 03:54:53 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 03:54:55 - mmengine - INFO - Epoch(train) [45][2700/3757] lr: 1.000e-03 eta: 15:52:05 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.6305 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3266 loss: 1.3266 2022/06/30 03:55:01 - mmengine - INFO - Epoch(train) [45][2720/3757] lr: 1.000e-03 eta: 15:51:59 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 6.6961 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7683 loss: 1.7683 2022/06/30 03:55:06 - mmengine - INFO - Epoch(train) [45][2740/3757] lr: 1.000e-03 eta: 15:51:53 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 5.5869 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2219 loss: 1.2219 2022/06/30 03:55:11 - mmengine - INFO - Epoch(train) [45][2760/3757] lr: 1.000e-03 eta: 15:51:47 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 5.1574 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6449 loss: 1.6449 2022/06/30 03:55:17 - mmengine - INFO - Epoch(train) [45][2780/3757] lr: 1.000e-03 eta: 15:51:42 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 6.5911 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7252 loss: 1.7252 2022/06/30 03:55:22 - mmengine - INFO - Epoch(train) [45][2800/3757] lr: 1.000e-03 eta: 15:51:36 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 6.8009 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1973 loss: 1.1973 2022/06/30 03:55:28 - mmengine - INFO - Epoch(train) [45][2820/3757] lr: 1.000e-03 eta: 15:51:31 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.1171 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1790 loss: 1.1790 2022/06/30 03:55:33 - mmengine - INFO - Epoch(train) [45][2840/3757] lr: 1.000e-03 eta: 15:51:26 time: 0.292 data_time: 0.007 memory: 6404 grad_norm: 5.3379 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0789 loss: 1.0789 2022/06/30 03:55:39 - mmengine - INFO - Epoch(train) [45][2860/3757] lr: 1.000e-03 eta: 15:51:20 time: 0.243 data_time: 0.006 memory: 6404 grad_norm: 6.1128 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5125 loss: 1.5125 2022/06/30 03:55:44 - mmengine - INFO - Epoch(train) [45][2880/3757] lr: 1.000e-03 eta: 15:51:15 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 5.2957 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9585 loss: 0.9585 2022/06/30 03:55:49 - mmengine - INFO - Epoch(train) [45][2900/3757] lr: 1.000e-03 eta: 15:51:09 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.9269 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4463 loss: 1.4463 2022/06/30 03:55:55 - mmengine - INFO - Epoch(train) [45][2920/3757] lr: 1.000e-03 eta: 15:51:03 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 5.6289 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5154 loss: 1.5154 2022/06/30 03:56:01 - mmengine - INFO - Epoch(train) [45][2940/3757] lr: 1.000e-03 eta: 15:50:58 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 6.0276 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1659 loss: 1.1659 2022/06/30 03:56:07 - mmengine - INFO - Epoch(train) [45][2960/3757] lr: 1.000e-03 eta: 15:50:53 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.4707 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1535 loss: 1.1535 2022/06/30 03:56:12 - mmengine - INFO - Epoch(train) [45][2980/3757] lr: 1.000e-03 eta: 15:50:47 time: 0.290 data_time: 0.020 memory: 6404 grad_norm: 6.0033 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5271 loss: 1.5271 2022/06/30 03:56:17 - mmengine - INFO - Epoch(train) [45][3000/3757] lr: 1.000e-03 eta: 15:50:41 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.9058 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0079 loss: 1.0079 2022/06/30 03:56:23 - mmengine - INFO - Epoch(train) [45][3020/3757] lr: 1.000e-03 eta: 15:50:36 time: 0.379 data_time: 0.017 memory: 6404 grad_norm: 6.5832 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3216 loss: 1.3216 2022/06/30 03:56:28 - mmengine - INFO - Epoch(train) [45][3040/3757] lr: 1.000e-03 eta: 15:50:30 time: 0.261 data_time: 0.014 memory: 6404 grad_norm: 6.5611 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6859 loss: 1.6859 2022/06/30 03:56:34 - mmengine - INFO - Epoch(train) [45][3060/3757] lr: 1.000e-03 eta: 15:50:25 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.8195 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7948 loss: 0.7948 2022/06/30 03:56:40 - mmengine - INFO - Epoch(train) [45][3080/3757] lr: 1.000e-03 eta: 15:50:20 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 5.9677 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1903 loss: 1.1903 2022/06/30 03:56:45 - mmengine - INFO - Epoch(train) [45][3100/3757] lr: 1.000e-03 eta: 15:50:14 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 5.8453 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5365 loss: 1.5365 2022/06/30 03:56:51 - mmengine - INFO - Epoch(train) [45][3120/3757] lr: 1.000e-03 eta: 15:50:08 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 6.2133 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5076 loss: 1.5076 2022/06/30 03:56:56 - mmengine - INFO - Epoch(train) [45][3140/3757] lr: 1.000e-03 eta: 15:50:03 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 5.7035 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2701 loss: 1.2701 2022/06/30 03:57:01 - mmengine - INFO - Epoch(train) [45][3160/3757] lr: 1.000e-03 eta: 15:49:56 time: 0.262 data_time: 0.012 memory: 6404 grad_norm: 6.0595 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5948 loss: 1.5948 2022/06/30 03:57:06 - mmengine - INFO - Epoch(train) [45][3180/3757] lr: 1.000e-03 eta: 15:49:51 time: 0.261 data_time: 0.018 memory: 6404 grad_norm: 6.2782 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1581 loss: 1.1581 2022/06/30 03:57:12 - mmengine - INFO - Epoch(train) [45][3200/3757] lr: 1.000e-03 eta: 15:49:45 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 7.1374 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3898 loss: 1.3898 2022/06/30 03:57:18 - mmengine - INFO - Epoch(train) [45][3220/3757] lr: 1.000e-03 eta: 15:49:41 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 6.5693 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6315 loss: 1.6315 2022/06/30 03:57:23 - mmengine - INFO - Epoch(train) [45][3240/3757] lr: 1.000e-03 eta: 15:49:35 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.8948 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3950 loss: 1.3950 2022/06/30 03:57:29 - mmengine - INFO - Epoch(train) [45][3260/3757] lr: 1.000e-03 eta: 15:49:29 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 6.3026 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6740 loss: 1.6740 2022/06/30 03:57:34 - mmengine - INFO - Epoch(train) [45][3280/3757] lr: 1.000e-03 eta: 15:49:24 time: 0.420 data_time: 0.009 memory: 6404 grad_norm: 5.6144 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1088 loss: 1.1088 2022/06/30 03:57:39 - mmengine - INFO - Epoch(train) [45][3300/3757] lr: 1.000e-03 eta: 15:49:18 time: 0.250 data_time: 0.018 memory: 6404 grad_norm: 6.1946 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2641 loss: 1.2641 2022/06/30 03:57:45 - mmengine - INFO - Epoch(train) [45][3320/3757] lr: 1.000e-03 eta: 15:49:12 time: 0.245 data_time: 0.021 memory: 6404 grad_norm: 4.8805 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4919 loss: 1.4919 2022/06/30 03:57:50 - mmengine - INFO - Epoch(train) [45][3340/3757] lr: 1.000e-03 eta: 15:49:07 time: 0.251 data_time: 0.014 memory: 6404 grad_norm: 5.9734 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3732 loss: 1.3732 2022/06/30 03:57:55 - mmengine - INFO - Epoch(train) [45][3360/3757] lr: 1.000e-03 eta: 15:49:01 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.5965 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4533 loss: 1.4533 2022/06/30 03:58:01 - mmengine - INFO - Epoch(train) [45][3380/3757] lr: 1.000e-03 eta: 15:48:56 time: 0.250 data_time: 0.014 memory: 6404 grad_norm: 5.7493 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6089 loss: 1.6089 2022/06/30 03:58:07 - mmengine - INFO - Epoch(train) [45][3400/3757] lr: 1.000e-03 eta: 15:48:50 time: 0.263 data_time: 0.017 memory: 6404 grad_norm: 5.1045 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1171 loss: 1.1171 2022/06/30 03:58:12 - mmengine - INFO - Epoch(train) [45][3420/3757] lr: 1.000e-03 eta: 15:48:45 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 6.1897 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3885 loss: 1.3885 2022/06/30 03:58:18 - mmengine - INFO - Epoch(train) [45][3440/3757] lr: 1.000e-03 eta: 15:48:39 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 6.6307 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8306 loss: 1.8306 2022/06/30 03:58:23 - mmengine - INFO - Epoch(train) [45][3460/3757] lr: 1.000e-03 eta: 15:48:34 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 5.6406 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6161 loss: 1.6161 2022/06/30 03:58:29 - mmengine - INFO - Epoch(train) [45][3480/3757] lr: 1.000e-03 eta: 15:48:28 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 5.8343 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5379 loss: 1.5379 2022/06/30 03:58:34 - mmengine - INFO - Epoch(train) [45][3500/3757] lr: 1.000e-03 eta: 15:48:23 time: 0.277 data_time: 0.035 memory: 6404 grad_norm: 5.6331 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4027 loss: 1.4027 2022/06/30 03:58:40 - mmengine - INFO - Epoch(train) [45][3520/3757] lr: 1.000e-03 eta: 15:48:17 time: 0.491 data_time: 0.009 memory: 6404 grad_norm: 5.6954 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3976 loss: 1.3976 2022/06/30 03:58:45 - mmengine - INFO - Epoch(train) [45][3540/3757] lr: 1.000e-03 eta: 15:48:12 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 6.1609 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7389 loss: 1.7389 2022/06/30 03:58:51 - mmengine - INFO - Epoch(train) [45][3560/3757] lr: 1.000e-03 eta: 15:48:06 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.1723 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3559 loss: 1.3559 2022/06/30 03:58:56 - mmengine - INFO - Epoch(train) [45][3580/3757] lr: 1.000e-03 eta: 15:48:01 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 6.3773 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4986 loss: 1.4986 2022/06/30 03:59:01 - mmengine - INFO - Epoch(train) [45][3600/3757] lr: 1.000e-03 eta: 15:47:55 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 7.1640 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4041 loss: 1.4041 2022/06/30 03:59:07 - mmengine - INFO - Epoch(train) [45][3620/3757] lr: 1.000e-03 eta: 15:47:49 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.0329 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6070 loss: 1.6070 2022/06/30 03:59:12 - mmengine - INFO - Epoch(train) [45][3640/3757] lr: 1.000e-03 eta: 15:47:43 time: 0.448 data_time: 0.011 memory: 6404 grad_norm: 6.6998 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1874 loss: 1.1874 2022/06/30 03:59:18 - mmengine - INFO - Epoch(train) [45][3660/3757] lr: 1.000e-03 eta: 15:47:38 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 5.9457 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3077 loss: 1.3077 2022/06/30 03:59:23 - mmengine - INFO - Epoch(train) [45][3680/3757] lr: 1.000e-03 eta: 15:47:32 time: 0.249 data_time: 0.058 memory: 6404 grad_norm: 5.9840 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0886 loss: 2.0886 2022/06/30 03:59:26 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 03:59:28 - mmengine - INFO - Epoch(train) [45][3700/3757] lr: 1.000e-03 eta: 15:47:27 time: 0.264 data_time: 0.009 memory: 6404 grad_norm: 5.8780 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4581 loss: 1.4581 2022/06/30 03:59:34 - mmengine - INFO - Epoch(train) [45][3720/3757] lr: 1.000e-03 eta: 15:47:21 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.9980 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2056 loss: 1.2056 2022/06/30 03:59:40 - mmengine - INFO - Epoch(train) [45][3740/3757] lr: 1.000e-03 eta: 15:47:16 time: 0.239 data_time: 0.008 memory: 6404 grad_norm: 5.3059 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2465 loss: 1.2465 2022/06/30 03:59:44 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 03:59:44 - mmengine - INFO - Saving checkpoint at 45 epochs 2022/06/30 03:59:56 - mmengine - INFO - Epoch(val) [45][20/310] eta: 0:01:32 time: 0.094 data_time: 0.009 memory: 6404 2022/06/30 04:00:02 - mmengine - INFO - Epoch(val) [45][40/310] eta: 0:01:18 time: 0.082 data_time: 0.006 memory: 1479 2022/06/30 04:00:06 - mmengine - INFO - Epoch(val) [45][60/310] eta: 0:00:20 time: 0.090 data_time: 0.009 memory: 1479 2022/06/30 04:00:12 - mmengine - INFO - Epoch(val) [45][80/310] eta: 0:01:17 time: 0.088 data_time: 0.010 memory: 1479 2022/06/30 04:00:18 - mmengine - INFO - Epoch(val) [45][100/310] eta: 0:01:01 time: 0.087 data_time: 0.011 memory: 1479 2022/06/30 04:00:22 - mmengine - INFO - Epoch(val) [45][120/310] eta: 0:00:29 time: 0.081 data_time: 0.005 memory: 1479 2022/06/30 04:00:28 - mmengine - INFO - Epoch(val) [45][140/310] eta: 0:00:51 time: 0.187 data_time: 0.109 memory: 1479 2022/06/30 04:00:34 - mmengine - INFO - Epoch(val) [45][160/310] eta: 0:00:49 time: 1.213 data_time: 1.121 memory: 1479 2022/06/30 04:00:39 - mmengine - INFO - Epoch(val) [45][180/310] eta: 0:00:41 time: 0.087 data_time: 0.005 memory: 1479 2022/06/30 04:00:45 - mmengine - INFO - Epoch(val) [45][200/310] eta: 0:00:37 time: 0.081 data_time: 0.005 memory: 1479 2022/06/30 04:00:51 - mmengine - INFO - Epoch(val) [45][220/310] eta: 0:00:29 time: 0.096 data_time: 0.007 memory: 1479 2022/06/30 04:00:55 - mmengine - INFO - Epoch(val) [45][240/310] eta: 0:00:20 time: 0.102 data_time: 0.020 memory: 1479 2022/06/30 04:01:01 - mmengine - INFO - Epoch(val) [45][260/310] eta: 0:00:16 time: 0.086 data_time: 0.007 memory: 1479 2022/06/30 04:01:05 - mmengine - INFO - Epoch(val) [45][280/310] eta: 0:00:06 time: 0.079 data_time: 0.007 memory: 1479 2022/06/30 04:01:08 - mmengine - INFO - Epoch(val) [45][300/310] eta: 0:00:01 time: 0.077 data_time: 0.005 memory: 1479 2022/06/30 04:01:11 - mmengine - INFO - Epoch(val) [45][310/310] acc/top1: 0.6564 acc/top5: 0.8591 acc/mean1: 0.6563 2022/06/30 04:01:20 - mmengine - INFO - Epoch(train) [46][20/3757] lr: 1.000e-03 eta: 15:47:07 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.4060 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7917 loss: 1.7917 2022/06/30 04:01:26 - mmengine - INFO - Epoch(train) [46][40/3757] lr: 1.000e-03 eta: 15:47:02 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 6.0528 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3742 loss: 1.3742 2022/06/30 04:01:31 - mmengine - INFO - Epoch(train) [46][60/3757] lr: 1.000e-03 eta: 15:46:57 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.0086 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3539 loss: 1.3539 2022/06/30 04:01:37 - mmengine - INFO - Epoch(train) [46][80/3757] lr: 1.000e-03 eta: 15:46:52 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 6.8784 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6569 loss: 1.6569 2022/06/30 04:01:42 - mmengine - INFO - Epoch(train) [46][100/3757] lr: 1.000e-03 eta: 15:46:46 time: 0.259 data_time: 0.044 memory: 6404 grad_norm: 5.4510 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1359 loss: 1.1359 2022/06/30 04:01:48 - mmengine - INFO - Epoch(train) [46][120/3757] lr: 1.000e-03 eta: 15:46:40 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 6.1078 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9014 loss: 0.9014 2022/06/30 04:01:54 - mmengine - INFO - Epoch(train) [46][140/3757] lr: 1.000e-03 eta: 15:46:35 time: 0.256 data_time: 0.017 memory: 6404 grad_norm: 6.0752 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3890 loss: 1.3890 2022/06/30 04:01:59 - mmengine - INFO - Epoch(train) [46][160/3757] lr: 1.000e-03 eta: 15:46:30 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 7.2473 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6883 loss: 1.6883 2022/06/30 04:02:05 - mmengine - INFO - Epoch(train) [46][180/3757] lr: 1.000e-03 eta: 15:46:25 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.8508 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0421 loss: 2.0421 2022/06/30 04:02:10 - mmengine - INFO - Epoch(train) [46][200/3757] lr: 1.000e-03 eta: 15:46:19 time: 0.266 data_time: 0.011 memory: 6404 grad_norm: 5.6822 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1808 loss: 1.1808 2022/06/30 04:02:16 - mmengine - INFO - Epoch(train) [46][220/3757] lr: 1.000e-03 eta: 15:46:13 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 6.7004 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5202 loss: 1.5202 2022/06/30 04:02:21 - mmengine - INFO - Epoch(train) [46][240/3757] lr: 1.000e-03 eta: 15:46:07 time: 0.256 data_time: 0.017 memory: 6404 grad_norm: 6.0390 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7296 loss: 1.7296 2022/06/30 04:02:27 - mmengine - INFO - Epoch(train) [46][260/3757] lr: 1.000e-03 eta: 15:46:03 time: 0.252 data_time: 0.019 memory: 6404 grad_norm: 6.0866 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3190 loss: 1.3190 2022/06/30 04:02:33 - mmengine - INFO - Epoch(train) [46][280/3757] lr: 1.000e-03 eta: 15:45:57 time: 0.251 data_time: 0.014 memory: 6404 grad_norm: 6.4709 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3177 loss: 1.3177 2022/06/30 04:02:38 - mmengine - INFO - Epoch(train) [46][300/3757] lr: 1.000e-03 eta: 15:45:51 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 5.7001 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3031 loss: 1.3031 2022/06/30 04:02:43 - mmengine - INFO - Epoch(train) [46][320/3757] lr: 1.000e-03 eta: 15:45:46 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.4383 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5328 loss: 1.5328 2022/06/30 04:02:49 - mmengine - INFO - Epoch(train) [46][340/3757] lr: 1.000e-03 eta: 15:45:40 time: 0.246 data_time: 0.043 memory: 6404 grad_norm: 6.0016 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3719 loss: 1.3719 2022/06/30 04:02:54 - mmengine - INFO - Epoch(train) [46][360/3757] lr: 1.000e-03 eta: 15:45:34 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 5.8560 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2102 loss: 1.2102 2022/06/30 04:02:59 - mmengine - INFO - Epoch(train) [46][380/3757] lr: 1.000e-03 eta: 15:45:29 time: 0.270 data_time: 0.025 memory: 6404 grad_norm: 5.2914 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3828 loss: 1.3828 2022/06/30 04:03:06 - mmengine - INFO - Epoch(train) [46][400/3757] lr: 1.000e-03 eta: 15:45:24 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 6.2271 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5785 loss: 1.5785 2022/06/30 04:03:11 - mmengine - INFO - Epoch(train) [46][420/3757] lr: 1.000e-03 eta: 15:45:18 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 5.6070 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6677 loss: 1.6677 2022/06/30 04:03:16 - mmengine - INFO - Epoch(train) [46][440/3757] lr: 1.000e-03 eta: 15:45:12 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 7.0732 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1534 loss: 1.1534 2022/06/30 04:03:22 - mmengine - INFO - Epoch(train) [46][460/3757] lr: 1.000e-03 eta: 15:45:07 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 6.8357 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3959 loss: 1.3959 2022/06/30 04:03:27 - mmengine - INFO - Epoch(train) [46][480/3757] lr: 1.000e-03 eta: 15:45:02 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 6.7804 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2208 loss: 1.2208 2022/06/30 04:03:32 - mmengine - INFO - Epoch(train) [46][500/3757] lr: 1.000e-03 eta: 15:44:56 time: 0.243 data_time: 0.013 memory: 6404 grad_norm: 6.2044 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4803 loss: 1.4803 2022/06/30 04:03:38 - mmengine - INFO - Epoch(train) [46][520/3757] lr: 1.000e-03 eta: 15:44:50 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.9920 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2747 loss: 1.2747 2022/06/30 04:03:44 - mmengine - INFO - Epoch(train) [46][540/3757] lr: 1.000e-03 eta: 15:44:45 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 6.1301 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4565 loss: 1.4565 2022/06/30 04:03:49 - mmengine - INFO - Epoch(train) [46][560/3757] lr: 1.000e-03 eta: 15:44:40 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 5.8091 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3867 loss: 1.3867 2022/06/30 04:03:55 - mmengine - INFO - Epoch(train) [46][580/3757] lr: 1.000e-03 eta: 15:44:34 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 4.8082 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2281 loss: 1.2281 2022/06/30 04:04:00 - mmengine - INFO - Epoch(train) [46][600/3757] lr: 1.000e-03 eta: 15:44:28 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.4207 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4145 loss: 1.4145 2022/06/30 04:04:06 - mmengine - INFO - Epoch(train) [46][620/3757] lr: 1.000e-03 eta: 15:44:23 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.7031 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5742 loss: 1.5742 2022/06/30 04:04:11 - mmengine - INFO - Epoch(train) [46][640/3757] lr: 1.000e-03 eta: 15:44:17 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.0115 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2395 loss: 1.2395 2022/06/30 04:04:16 - mmengine - INFO - Epoch(train) [46][660/3757] lr: 1.000e-03 eta: 15:44:11 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.5861 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5364 loss: 1.5364 2022/06/30 04:04:22 - mmengine - INFO - Epoch(train) [46][680/3757] lr: 1.000e-03 eta: 15:44:05 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 7.0807 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3970 loss: 1.3970 2022/06/30 04:04:27 - mmengine - INFO - Epoch(train) [46][700/3757] lr: 1.000e-03 eta: 15:44:00 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 5.0718 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5691 loss: 1.5691 2022/06/30 04:04:33 - mmengine - INFO - Epoch(train) [46][720/3757] lr: 1.000e-03 eta: 15:43:54 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 6.9963 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7763 loss: 1.7763 2022/06/30 04:04:38 - mmengine - INFO - Epoch(train) [46][740/3757] lr: 1.000e-03 eta: 15:43:49 time: 0.242 data_time: 0.010 memory: 6404 grad_norm: 5.5187 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6364 loss: 1.6364 2022/06/30 04:04:44 - mmengine - INFO - Epoch(train) [46][760/3757] lr: 1.000e-03 eta: 15:43:44 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.6254 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3098 loss: 1.3098 2022/06/30 04:04:50 - mmengine - INFO - Epoch(train) [46][780/3757] lr: 1.000e-03 eta: 15:43:39 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.9738 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2520 loss: 1.2520 2022/06/30 04:04:55 - mmengine - INFO - Epoch(train) [46][800/3757] lr: 1.000e-03 eta: 15:43:33 time: 0.265 data_time: 0.006 memory: 6404 grad_norm: 5.8578 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4501 loss: 1.4501 2022/06/30 04:05:00 - mmengine - INFO - Epoch(train) [46][820/3757] lr: 1.000e-03 eta: 15:43:27 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.2680 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2528 loss: 1.2528 2022/06/30 04:05:06 - mmengine - INFO - Epoch(train) [46][840/3757] lr: 1.000e-03 eta: 15:43:22 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.8739 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4088 loss: 1.4088 2022/06/30 04:05:12 - mmengine - INFO - Epoch(train) [46][860/3757] lr: 1.000e-03 eta: 15:43:17 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 7.4891 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9861 loss: 0.9861 2022/06/30 04:05:18 - mmengine - INFO - Epoch(train) [46][880/3757] lr: 1.000e-03 eta: 15:43:11 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 6.7465 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5889 loss: 1.5889 2022/06/30 04:05:23 - mmengine - INFO - Epoch(train) [46][900/3757] lr: 1.000e-03 eta: 15:43:05 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 6.1568 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2666 loss: 1.2666 2022/06/30 04:05:28 - mmengine - INFO - Epoch(train) [46][920/3757] lr: 1.000e-03 eta: 15:43:00 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.8085 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3833 loss: 1.3833 2022/06/30 04:05:32 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 04:05:34 - mmengine - INFO - Epoch(train) [46][940/3757] lr: 1.000e-03 eta: 15:42:54 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.0999 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1530 loss: 1.1530 2022/06/30 04:05:39 - mmengine - INFO - Epoch(train) [46][960/3757] lr: 1.000e-03 eta: 15:42:49 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 6.0527 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6326 loss: 1.6326 2022/06/30 04:05:46 - mmengine - INFO - Epoch(train) [46][980/3757] lr: 1.000e-03 eta: 15:42:45 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 6.7452 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3667 loss: 1.3667 2022/06/30 04:05:51 - mmengine - INFO - Epoch(train) [46][1000/3757] lr: 1.000e-03 eta: 15:42:39 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 7.5607 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2199 loss: 1.2199 2022/06/30 04:05:56 - mmengine - INFO - Epoch(train) [46][1020/3757] lr: 1.000e-03 eta: 15:42:33 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 5.6813 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9273 loss: 0.9273 2022/06/30 04:06:01 - mmengine - INFO - Epoch(train) [46][1040/3757] lr: 1.000e-03 eta: 15:42:27 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.3692 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2869 loss: 1.2869 2022/06/30 04:06:07 - mmengine - INFO - Epoch(train) [46][1060/3757] lr: 1.000e-03 eta: 15:42:22 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 7.0947 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6399 loss: 1.6399 2022/06/30 04:06:12 - mmengine - INFO - Epoch(train) [46][1080/3757] lr: 1.000e-03 eta: 15:42:15 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.8542 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1687 loss: 1.1687 2022/06/30 04:06:17 - mmengine - INFO - Epoch(train) [46][1100/3757] lr: 1.000e-03 eta: 15:42:09 time: 0.277 data_time: 0.008 memory: 6404 grad_norm: 6.0988 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6426 loss: 1.6426 2022/06/30 04:06:22 - mmengine - INFO - Epoch(train) [46][1120/3757] lr: 1.000e-03 eta: 15:42:04 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 5.9180 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3677 loss: 1.3677 2022/06/30 04:06:28 - mmengine - INFO - Epoch(train) [46][1140/3757] lr: 1.000e-03 eta: 15:41:59 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.5883 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1740 loss: 1.1740 2022/06/30 04:06:34 - mmengine - INFO - Epoch(train) [46][1160/3757] lr: 1.000e-03 eta: 15:41:53 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 6.8812 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3957 loss: 1.3957 2022/06/30 04:06:39 - mmengine - INFO - Epoch(train) [46][1180/3757] lr: 1.000e-03 eta: 15:41:48 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 6.0044 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3100 loss: 1.3100 2022/06/30 04:06:45 - mmengine - INFO - Epoch(train) [46][1200/3757] lr: 1.000e-03 eta: 15:41:42 time: 0.410 data_time: 0.010 memory: 6404 grad_norm: 5.7492 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1346 loss: 1.1346 2022/06/30 04:06:51 - mmengine - INFO - Epoch(train) [46][1220/3757] lr: 1.000e-03 eta: 15:41:37 time: 0.271 data_time: 0.006 memory: 6404 grad_norm: 6.6077 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1339 loss: 1.1339 2022/06/30 04:06:56 - mmengine - INFO - Epoch(train) [46][1240/3757] lr: 1.000e-03 eta: 15:41:32 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.1928 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1456 loss: 1.1456 2022/06/30 04:07:02 - mmengine - INFO - Epoch(train) [46][1260/3757] lr: 1.000e-03 eta: 15:41:26 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.8009 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1565 loss: 1.1565 2022/06/30 04:07:08 - mmengine - INFO - Epoch(train) [46][1280/3757] lr: 1.000e-03 eta: 15:41:21 time: 0.262 data_time: 0.010 memory: 6404 grad_norm: 6.4250 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7357 loss: 1.7357 2022/06/30 04:07:13 - mmengine - INFO - Epoch(train) [46][1300/3757] lr: 1.000e-03 eta: 15:41:15 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.5163 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2348 loss: 1.2348 2022/06/30 04:07:18 - mmengine - INFO - Epoch(train) [46][1320/3757] lr: 1.000e-03 eta: 15:41:09 time: 0.242 data_time: 0.013 memory: 6404 grad_norm: 5.4689 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6116 loss: 1.6116 2022/06/30 04:07:23 - mmengine - INFO - Epoch(train) [46][1340/3757] lr: 1.000e-03 eta: 15:41:03 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 6.6813 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5181 loss: 1.5181 2022/06/30 04:07:28 - mmengine - INFO - Epoch(train) [46][1360/3757] lr: 1.000e-03 eta: 15:40:58 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 6.7551 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2646 loss: 1.2646 2022/06/30 04:07:34 - mmengine - INFO - Epoch(train) [46][1380/3757] lr: 1.000e-03 eta: 15:40:52 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.6511 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1319 loss: 1.1319 2022/06/30 04:07:39 - mmengine - INFO - Epoch(train) [46][1400/3757] lr: 1.000e-03 eta: 15:40:47 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 7.8128 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5935 loss: 1.5935 2022/06/30 04:07:46 - mmengine - INFO - Epoch(train) [46][1420/3757] lr: 1.000e-03 eta: 15:40:42 time: 0.723 data_time: 0.049 memory: 6404 grad_norm: 7.4506 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2534 loss: 1.2534 2022/06/30 04:07:51 - mmengine - INFO - Epoch(train) [46][1440/3757] lr: 1.000e-03 eta: 15:40:36 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.8464 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5530 loss: 1.5530 2022/06/30 04:07:56 - mmengine - INFO - Epoch(train) [46][1460/3757] lr: 1.000e-03 eta: 15:40:30 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.8074 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3237 loss: 1.3237 2022/06/30 04:08:02 - mmengine - INFO - Epoch(train) [46][1480/3757] lr: 1.000e-03 eta: 15:40:25 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 5.9720 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5715 loss: 1.5715 2022/06/30 04:08:08 - mmengine - INFO - Epoch(train) [46][1500/3757] lr: 1.000e-03 eta: 15:40:20 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.7172 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4376 loss: 1.4376 2022/06/30 04:08:13 - mmengine - INFO - Epoch(train) [46][1520/3757] lr: 1.000e-03 eta: 15:40:14 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 7.3593 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1787 loss: 1.1787 2022/06/30 04:08:18 - mmengine - INFO - Epoch(train) [46][1540/3757] lr: 1.000e-03 eta: 15:40:08 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 5.3277 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3977 loss: 1.3977 2022/06/30 04:08:24 - mmengine - INFO - Epoch(train) [46][1560/3757] lr: 1.000e-03 eta: 15:40:03 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.0582 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4804 loss: 1.4804 2022/06/30 04:08:30 - mmengine - INFO - Epoch(train) [46][1580/3757] lr: 1.000e-03 eta: 15:39:58 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.1928 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6718 loss: 1.6718 2022/06/30 04:08:35 - mmengine - INFO - Epoch(train) [46][1600/3757] lr: 1.000e-03 eta: 15:39:52 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 5.2180 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2171 loss: 1.2171 2022/06/30 04:08:41 - mmengine - INFO - Epoch(train) [46][1620/3757] lr: 1.000e-03 eta: 15:39:47 time: 0.280 data_time: 0.007 memory: 6404 grad_norm: 6.0414 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3383 loss: 1.3383 2022/06/30 04:08:47 - mmengine - INFO - Epoch(train) [46][1640/3757] lr: 1.000e-03 eta: 15:39:42 time: 0.244 data_time: 0.009 memory: 6404 grad_norm: 5.9520 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2971 loss: 1.2971 2022/06/30 04:08:52 - mmengine - INFO - Epoch(train) [46][1660/3757] lr: 1.000e-03 eta: 15:39:36 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.3098 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6990 loss: 1.6990 2022/06/30 04:08:57 - mmengine - INFO - Epoch(train) [46][1680/3757] lr: 1.000e-03 eta: 15:39:30 time: 0.242 data_time: 0.012 memory: 6404 grad_norm: 5.7905 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4267 loss: 1.4267 2022/06/30 04:09:02 - mmengine - INFO - Epoch(train) [46][1700/3757] lr: 1.000e-03 eta: 15:39:24 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 6.9172 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6876 loss: 1.6876 2022/06/30 04:09:08 - mmengine - INFO - Epoch(train) [46][1720/3757] lr: 1.000e-03 eta: 15:39:19 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.8526 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6207 loss: 1.6207 2022/06/30 04:09:13 - mmengine - INFO - Epoch(train) [46][1740/3757] lr: 1.000e-03 eta: 15:39:13 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 6.2900 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5382 loss: 1.5382 2022/06/30 04:09:19 - mmengine - INFO - Epoch(train) [46][1760/3757] lr: 1.000e-03 eta: 15:39:08 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 6.1194 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2970 loss: 1.2970 2022/06/30 04:09:24 - mmengine - INFO - Epoch(train) [46][1780/3757] lr: 1.000e-03 eta: 15:39:02 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 7.6850 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3534 loss: 1.3534 2022/06/30 04:09:30 - mmengine - INFO - Epoch(train) [46][1800/3757] lr: 1.000e-03 eta: 15:38:57 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.3132 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2981 loss: 1.2981 2022/06/30 04:09:36 - mmengine - INFO - Epoch(train) [46][1820/3757] lr: 1.000e-03 eta: 15:38:52 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.9945 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2794 loss: 1.2794 2022/06/30 04:09:41 - mmengine - INFO - Epoch(train) [46][1840/3757] lr: 1.000e-03 eta: 15:38:46 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 4.7662 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3185 loss: 1.3185 2022/06/30 04:09:47 - mmengine - INFO - Epoch(train) [46][1860/3757] lr: 1.000e-03 eta: 15:38:40 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 5.4827 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5938 loss: 1.5938 2022/06/30 04:09:52 - mmengine - INFO - Epoch(train) [46][1880/3757] lr: 1.000e-03 eta: 15:38:35 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 7.3102 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6241 loss: 1.6241 2022/06/30 04:09:58 - mmengine - INFO - Epoch(train) [46][1900/3757] lr: 1.000e-03 eta: 15:38:30 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 5.7295 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4078 loss: 1.4078 2022/06/30 04:10:03 - mmengine - INFO - Epoch(train) [46][1920/3757] lr: 1.000e-03 eta: 15:38:24 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.7441 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6401 loss: 1.6401 2022/06/30 04:10:08 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 04:10:09 - mmengine - INFO - Epoch(train) [46][1940/3757] lr: 1.000e-03 eta: 15:38:19 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 5.9128 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3470 loss: 1.3470 2022/06/30 04:10:15 - mmengine - INFO - Epoch(train) [46][1960/3757] lr: 1.000e-03 eta: 15:38:14 time: 0.252 data_time: 0.015 memory: 6404 grad_norm: 5.7796 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2340 loss: 1.2340 2022/06/30 04:10:20 - mmengine - INFO - Epoch(train) [46][1980/3757] lr: 1.000e-03 eta: 15:38:08 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.0347 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2124 loss: 1.2124 2022/06/30 04:10:26 - mmengine - INFO - Epoch(train) [46][2000/3757] lr: 1.000e-03 eta: 15:38:03 time: 0.241 data_time: 0.016 memory: 6404 grad_norm: 5.8378 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7904 loss: 1.7904 2022/06/30 04:10:31 - mmengine - INFO - Epoch(train) [46][2020/3757] lr: 1.000e-03 eta: 15:37:57 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 7.1929 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1518 loss: 1.1518 2022/06/30 04:10:37 - mmengine - INFO - Epoch(train) [46][2040/3757] lr: 1.000e-03 eta: 15:37:51 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 5.4882 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1189 loss: 1.1189 2022/06/30 04:10:42 - mmengine - INFO - Epoch(train) [46][2060/3757] lr: 1.000e-03 eta: 15:37:45 time: 0.239 data_time: 0.018 memory: 6404 grad_norm: 5.9294 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0440 loss: 1.0440 2022/06/30 04:10:47 - mmengine - INFO - Epoch(train) [46][2080/3757] lr: 1.000e-03 eta: 15:37:40 time: 0.255 data_time: 0.017 memory: 6404 grad_norm: 6.1006 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2202 loss: 1.2202 2022/06/30 04:10:52 - mmengine - INFO - Epoch(train) [46][2100/3757] lr: 1.000e-03 eta: 15:37:34 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.8657 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0563 loss: 1.0563 2022/06/30 04:10:57 - mmengine - INFO - Epoch(train) [46][2120/3757] lr: 1.000e-03 eta: 15:37:28 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 3.8996 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3316 loss: 1.3316 2022/06/30 04:11:03 - mmengine - INFO - Epoch(train) [46][2140/3757] lr: 1.000e-03 eta: 15:37:22 time: 0.255 data_time: 0.021 memory: 6404 grad_norm: 6.9752 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0458 loss: 1.0458 2022/06/30 04:11:08 - mmengine - INFO - Epoch(train) [46][2160/3757] lr: 1.000e-03 eta: 15:37:17 time: 0.244 data_time: 0.009 memory: 6404 grad_norm: 5.2658 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3104 loss: 1.3104 2022/06/30 04:11:16 - mmengine - INFO - Epoch(train) [46][2180/3757] lr: 1.000e-03 eta: 15:37:13 time: 1.811 data_time: 0.007 memory: 6404 grad_norm: 5.1139 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0495 loss: 1.0495 2022/06/30 04:11:21 - mmengine - INFO - Epoch(train) [46][2200/3757] lr: 1.000e-03 eta: 15:37:07 time: 0.241 data_time: 0.017 memory: 6404 grad_norm: 6.8282 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3457 loss: 1.3457 2022/06/30 04:11:26 - mmengine - INFO - Epoch(train) [46][2220/3757] lr: 1.000e-03 eta: 15:37:02 time: 0.274 data_time: 0.010 memory: 6404 grad_norm: 6.6742 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6703 loss: 1.6703 2022/06/30 04:11:31 - mmengine - INFO - Epoch(train) [46][2240/3757] lr: 1.000e-03 eta: 15:36:56 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.3574 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1601 loss: 1.1601 2022/06/30 04:11:37 - mmengine - INFO - Epoch(train) [46][2260/3757] lr: 1.000e-03 eta: 15:36:50 time: 0.248 data_time: 0.016 memory: 6404 grad_norm: 7.0570 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7015 loss: 1.7015 2022/06/30 04:11:42 - mmengine - INFO - Epoch(train) [46][2280/3757] lr: 1.000e-03 eta: 15:36:44 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 6.4676 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0265 loss: 1.0265 2022/06/30 04:11:47 - mmengine - INFO - Epoch(train) [46][2300/3757] lr: 1.000e-03 eta: 15:36:39 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 6.4275 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1435 loss: 1.1435 2022/06/30 04:11:53 - mmengine - INFO - Epoch(train) [46][2320/3757] lr: 1.000e-03 eta: 15:36:33 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 5.5369 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4941 loss: 1.4941 2022/06/30 04:11:58 - mmengine - INFO - Epoch(train) [46][2340/3757] lr: 1.000e-03 eta: 15:36:27 time: 0.243 data_time: 0.015 memory: 6404 grad_norm: 5.1289 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0908 loss: 1.0908 2022/06/30 04:12:04 - mmengine - INFO - Epoch(train) [46][2360/3757] lr: 1.000e-03 eta: 15:36:23 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.4863 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0637 loss: 1.0637 2022/06/30 04:12:10 - mmengine - INFO - Epoch(train) [46][2380/3757] lr: 1.000e-03 eta: 15:36:17 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 6.2018 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2417 loss: 1.2417 2022/06/30 04:12:15 - mmengine - INFO - Epoch(train) [46][2400/3757] lr: 1.000e-03 eta: 15:36:12 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 5.9015 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8931 loss: 0.8931 2022/06/30 04:12:21 - mmengine - INFO - Epoch(train) [46][2420/3757] lr: 1.000e-03 eta: 15:36:06 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.8279 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2766 loss: 1.2766 2022/06/30 04:12:26 - mmengine - INFO - Epoch(train) [46][2440/3757] lr: 1.000e-03 eta: 15:36:00 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 5.7504 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5419 loss: 1.5419 2022/06/30 04:12:31 - mmengine - INFO - Epoch(train) [46][2460/3757] lr: 1.000e-03 eta: 15:35:54 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 5.8114 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4051 loss: 1.4051 2022/06/30 04:12:36 - mmengine - INFO - Epoch(train) [46][2480/3757] lr: 1.000e-03 eta: 15:35:49 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.8807 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8392 loss: 1.8392 2022/06/30 04:12:42 - mmengine - INFO - Epoch(train) [46][2500/3757] lr: 1.000e-03 eta: 15:35:43 time: 0.242 data_time: 0.011 memory: 6404 grad_norm: 7.6066 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4148 loss: 1.4148 2022/06/30 04:12:48 - mmengine - INFO - Epoch(train) [46][2520/3757] lr: 1.000e-03 eta: 15:35:38 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 7.0057 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6790 loss: 1.6790 2022/06/30 04:12:53 - mmengine - INFO - Epoch(train) [46][2540/3757] lr: 1.000e-03 eta: 15:35:32 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.7775 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3570 loss: 1.3570 2022/06/30 04:12:58 - mmengine - INFO - Epoch(train) [46][2560/3757] lr: 1.000e-03 eta: 15:35:26 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 5.8699 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9399 loss: 0.9399 2022/06/30 04:13:04 - mmengine - INFO - Epoch(train) [46][2580/3757] lr: 1.000e-03 eta: 15:35:21 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.7241 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1559 loss: 1.1559 2022/06/30 04:13:10 - mmengine - INFO - Epoch(train) [46][2600/3757] lr: 1.000e-03 eta: 15:35:16 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 6.6333 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3101 loss: 1.3101 2022/06/30 04:13:15 - mmengine - INFO - Epoch(train) [46][2620/3757] lr: 1.000e-03 eta: 15:35:10 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 6.5362 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5061 loss: 1.5061 2022/06/30 04:13:20 - mmengine - INFO - Epoch(train) [46][2640/3757] lr: 1.000e-03 eta: 15:35:04 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 6.0924 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4158 loss: 1.4158 2022/06/30 04:13:26 - mmengine - INFO - Epoch(train) [46][2660/3757] lr: 1.000e-03 eta: 15:34:59 time: 0.343 data_time: 0.014 memory: 6404 grad_norm: 6.7970 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1989 loss: 1.1989 2022/06/30 04:13:31 - mmengine - INFO - Epoch(train) [46][2680/3757] lr: 1.000e-03 eta: 15:34:53 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 5.8049 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8444 loss: 1.8444 2022/06/30 04:13:37 - mmengine - INFO - Epoch(train) [46][2700/3757] lr: 1.000e-03 eta: 15:34:48 time: 0.240 data_time: 0.012 memory: 6404 grad_norm: 6.9748 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3450 loss: 1.3450 2022/06/30 04:13:42 - mmengine - INFO - Epoch(train) [46][2720/3757] lr: 1.000e-03 eta: 15:34:42 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 6.3195 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4136 loss: 1.4136 2022/06/30 04:13:49 - mmengine - INFO - Epoch(train) [46][2740/3757] lr: 1.000e-03 eta: 15:34:38 time: 0.255 data_time: 0.012 memory: 6404 grad_norm: 6.0323 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3697 loss: 1.3697 2022/06/30 04:13:54 - mmengine - INFO - Epoch(train) [46][2760/3757] lr: 1.000e-03 eta: 15:34:32 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 6.0424 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9564 loss: 0.9564 2022/06/30 04:13:59 - mmengine - INFO - Epoch(train) [46][2780/3757] lr: 1.000e-03 eta: 15:34:26 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 6.0723 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3923 loss: 1.3923 2022/06/30 04:14:04 - mmengine - INFO - Epoch(train) [46][2800/3757] lr: 1.000e-03 eta: 15:34:20 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 6.5309 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6705 loss: 1.6705 2022/06/30 04:14:10 - mmengine - INFO - Epoch(train) [46][2820/3757] lr: 1.000e-03 eta: 15:34:15 time: 0.254 data_time: 0.023 memory: 6404 grad_norm: 5.4362 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5860 loss: 1.5860 2022/06/30 04:14:15 - mmengine - INFO - Epoch(train) [46][2840/3757] lr: 1.000e-03 eta: 15:34:09 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.0325 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2756 loss: 1.2756 2022/06/30 04:14:21 - mmengine - INFO - Epoch(train) [46][2860/3757] lr: 1.000e-03 eta: 15:34:04 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.7967 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3380 loss: 1.3380 2022/06/30 04:14:27 - mmengine - INFO - Epoch(train) [46][2880/3757] lr: 1.000e-03 eta: 15:34:00 time: 0.270 data_time: 0.011 memory: 6404 grad_norm: 4.9375 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2055 loss: 1.2055 2022/06/30 04:14:33 - mmengine - INFO - Epoch(train) [46][2900/3757] lr: 1.000e-03 eta: 15:33:54 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 7.2455 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6757 loss: 1.6757 2022/06/30 04:14:38 - mmengine - INFO - Epoch(train) [46][2920/3757] lr: 1.000e-03 eta: 15:33:48 time: 0.271 data_time: 0.009 memory: 6404 grad_norm: 5.6392 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3207 loss: 1.3207 2022/06/30 04:14:41 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 04:14:43 - mmengine - INFO - Epoch(train) [46][2940/3757] lr: 1.000e-03 eta: 15:33:42 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.9777 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2732 loss: 1.2732 2022/06/30 04:14:48 - mmengine - INFO - Epoch(train) [46][2960/3757] lr: 1.000e-03 eta: 15:33:36 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 6.2426 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4017 loss: 1.4017 2022/06/30 04:14:53 - mmengine - INFO - Epoch(train) [46][2980/3757] lr: 1.000e-03 eta: 15:33:30 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 6.9182 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3503 loss: 1.3503 2022/06/30 04:14:59 - mmengine - INFO - Epoch(train) [46][3000/3757] lr: 1.000e-03 eta: 15:33:24 time: 0.266 data_time: 0.014 memory: 6404 grad_norm: 7.7577 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2280 loss: 1.2280 2022/06/30 04:15:04 - mmengine - INFO - Epoch(train) [46][3020/3757] lr: 1.000e-03 eta: 15:33:19 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.1678 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1318 loss: 1.1318 2022/06/30 04:15:10 - mmengine - INFO - Epoch(train) [46][3040/3757] lr: 1.000e-03 eta: 15:33:14 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.1706 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5297 loss: 1.5297 2022/06/30 04:15:15 - mmengine - INFO - Epoch(train) [46][3060/3757] lr: 1.000e-03 eta: 15:33:08 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 6.5760 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2831 loss: 1.2831 2022/06/30 04:15:21 - mmengine - INFO - Epoch(train) [46][3080/3757] lr: 1.000e-03 eta: 15:33:03 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 6.5675 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4815 loss: 1.4815 2022/06/30 04:15:27 - mmengine - INFO - Epoch(train) [46][3100/3757] lr: 1.000e-03 eta: 15:32:58 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 5.3356 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5967 loss: 1.5967 2022/06/30 04:15:32 - mmengine - INFO - Epoch(train) [46][3120/3757] lr: 1.000e-03 eta: 15:32:52 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.7843 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3364 loss: 1.3364 2022/06/30 04:15:37 - mmengine - INFO - Epoch(train) [46][3140/3757] lr: 1.000e-03 eta: 15:32:46 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.9092 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3434 loss: 1.3434 2022/06/30 04:15:43 - mmengine - INFO - Epoch(train) [46][3160/3757] lr: 1.000e-03 eta: 15:32:41 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 5.5201 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1777 loss: 1.1777 2022/06/30 04:15:49 - mmengine - INFO - Epoch(train) [46][3180/3757] lr: 1.000e-03 eta: 15:32:36 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 6.4512 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.6568 loss: 1.6568 2022/06/30 04:15:55 - mmengine - INFO - Epoch(train) [46][3200/3757] lr: 1.000e-03 eta: 15:32:31 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 7.2198 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2175 loss: 1.2175 2022/06/30 04:16:01 - mmengine - INFO - Epoch(train) [46][3220/3757] lr: 1.000e-03 eta: 15:32:25 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 7.3242 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4382 loss: 1.4382 2022/06/30 04:16:06 - mmengine - INFO - Epoch(train) [46][3240/3757] lr: 1.000e-03 eta: 15:32:20 time: 0.327 data_time: 0.058 memory: 6404 grad_norm: 5.9404 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5955 loss: 1.5955 2022/06/30 04:16:12 - mmengine - INFO - Epoch(train) [46][3260/3757] lr: 1.000e-03 eta: 15:32:14 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 5.9635 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5647 loss: 1.5647 2022/06/30 04:16:17 - mmengine - INFO - Epoch(train) [46][3280/3757] lr: 1.000e-03 eta: 15:32:09 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 7.2398 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2800 loss: 1.2800 2022/06/30 04:16:22 - mmengine - INFO - Epoch(train) [46][3300/3757] lr: 1.000e-03 eta: 15:32:03 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 6.6143 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4638 loss: 1.4638 2022/06/30 04:16:28 - mmengine - INFO - Epoch(train) [46][3320/3757] lr: 1.000e-03 eta: 15:31:57 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 6.5630 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6355 loss: 1.6355 2022/06/30 04:16:33 - mmengine - INFO - Epoch(train) [46][3340/3757] lr: 1.000e-03 eta: 15:31:51 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 6.0527 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5859 loss: 1.5859 2022/06/30 04:16:39 - mmengine - INFO - Epoch(train) [46][3360/3757] lr: 1.000e-03 eta: 15:31:46 time: 0.262 data_time: 0.014 memory: 6404 grad_norm: 6.2226 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1630 loss: 1.1630 2022/06/30 04:16:44 - mmengine - INFO - Epoch(train) [46][3380/3757] lr: 1.000e-03 eta: 15:31:41 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.8525 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5577 loss: 1.5577 2022/06/30 04:16:51 - mmengine - INFO - Epoch(train) [46][3400/3757] lr: 1.000e-03 eta: 15:31:36 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.9238 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0481 loss: 1.0481 2022/06/30 04:16:56 - mmengine - INFO - Epoch(train) [46][3420/3757] lr: 1.000e-03 eta: 15:31:30 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 6.3276 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6461 loss: 1.6461 2022/06/30 04:17:01 - mmengine - INFO - Epoch(train) [46][3440/3757] lr: 1.000e-03 eta: 15:31:24 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 5.7132 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6208 loss: 1.6208 2022/06/30 04:17:06 - mmengine - INFO - Epoch(train) [46][3460/3757] lr: 1.000e-03 eta: 15:31:19 time: 0.483 data_time: 0.042 memory: 6404 grad_norm: 6.5082 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5306 loss: 1.5306 2022/06/30 04:17:11 - mmengine - INFO - Epoch(train) [46][3480/3757] lr: 1.000e-03 eta: 15:31:13 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.6020 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0440 loss: 1.0440 2022/06/30 04:17:17 - mmengine - INFO - Epoch(train) [46][3500/3757] lr: 1.000e-03 eta: 15:31:07 time: 0.494 data_time: 0.007 memory: 6404 grad_norm: 5.6969 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1593 loss: 1.1593 2022/06/30 04:17:22 - mmengine - INFO - Epoch(train) [46][3520/3757] lr: 1.000e-03 eta: 15:31:01 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 5.9096 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2138 loss: 1.2138 2022/06/30 04:17:28 - mmengine - INFO - Epoch(train) [46][3540/3757] lr: 1.000e-03 eta: 15:30:56 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 6.8485 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2283 loss: 1.2283 2022/06/30 04:17:33 - mmengine - INFO - Epoch(train) [46][3560/3757] lr: 1.000e-03 eta: 15:30:50 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 5.9513 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3630 loss: 1.3630 2022/06/30 04:17:38 - mmengine - INFO - Epoch(train) [46][3580/3757] lr: 1.000e-03 eta: 15:30:44 time: 0.255 data_time: 0.014 memory: 6404 grad_norm: 6.9967 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0168 loss: 2.0168 2022/06/30 04:17:44 - mmengine - INFO - Epoch(train) [46][3600/3757] lr: 1.000e-03 eta: 15:30:39 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 6.6311 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4618 loss: 1.4618 2022/06/30 04:17:50 - mmengine - INFO - Epoch(train) [46][3620/3757] lr: 1.000e-03 eta: 15:30:34 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.6194 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4426 loss: 1.4426 2022/06/30 04:17:55 - mmengine - INFO - Epoch(train) [46][3640/3757] lr: 1.000e-03 eta: 15:30:28 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 4.2638 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4880 loss: 1.4880 2022/06/30 04:18:00 - mmengine - INFO - Epoch(train) [46][3660/3757] lr: 1.000e-03 eta: 15:30:23 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.4826 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2304 loss: 1.2304 2022/06/30 04:18:07 - mmengine - INFO - Epoch(train) [46][3680/3757] lr: 1.000e-03 eta: 15:30:18 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 5.7843 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0142 loss: 1.0142 2022/06/30 04:18:12 - mmengine - INFO - Epoch(train) [46][3700/3757] lr: 1.000e-03 eta: 15:30:12 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 7.0516 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3220 loss: 1.3220 2022/06/30 04:18:17 - mmengine - INFO - Epoch(train) [46][3720/3757] lr: 1.000e-03 eta: 15:30:06 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 5.2186 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4148 loss: 1.4148 2022/06/30 04:18:23 - mmengine - INFO - Epoch(train) [46][3740/3757] lr: 1.000e-03 eta: 15:30:01 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.9646 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3779 loss: 1.3779 2022/06/30 04:18:28 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 04:18:37 - mmengine - INFO - Epoch(val) [46][20/310] eta: 0:02:06 time: 2.932 data_time: 2.847 memory: 6404 2022/06/30 04:18:42 - mmengine - INFO - Epoch(val) [46][40/310] eta: 0:01:12 time: 0.084 data_time: 0.006 memory: 1479 2022/06/30 04:18:47 - mmengine - INFO - Epoch(val) [46][60/310] eta: 0:01:17 time: 0.077 data_time: 0.005 memory: 1479 2022/06/30 04:18:53 - mmengine - INFO - Epoch(val) [46][80/310] eta: 0:01:04 time: 2.041 data_time: 1.956 memory: 1479 2022/06/30 04:18:56 - mmengine - INFO - Epoch(val) [46][100/310] eta: 0:01:00 time: 0.081 data_time: 0.007 memory: 1479 2022/06/30 04:19:02 - mmengine - INFO - Epoch(val) [46][120/310] eta: 0:00:54 time: 0.084 data_time: 0.009 memory: 1479 2022/06/30 04:19:09 - mmengine - INFO - Epoch(val) [46][140/310] eta: 0:00:52 time: 2.110 data_time: 2.029 memory: 1479 2022/06/30 04:19:12 - mmengine - INFO - Epoch(val) [46][160/310] eta: 0:00:40 time: 0.080 data_time: 0.006 memory: 1479 2022/06/30 04:19:18 - mmengine - INFO - Epoch(val) [46][180/310] eta: 0:00:38 time: 0.076 data_time: 0.005 memory: 1479 2022/06/30 04:19:24 - mmengine - INFO - Epoch(val) [46][200/310] eta: 0:00:32 time: 1.680 data_time: 1.609 memory: 1479 2022/06/30 04:19:28 - mmengine - INFO - Epoch(val) [46][220/310] eta: 0:00:29 time: 0.544 data_time: 0.470 memory: 1479 2022/06/30 04:19:33 - mmengine - INFO - Epoch(val) [46][240/310] eta: 0:00:20 time: 0.089 data_time: 0.009 memory: 1479 2022/06/30 04:19:39 - mmengine - INFO - Epoch(val) [46][260/310] eta: 0:00:15 time: 1.199 data_time: 1.122 memory: 1479 2022/06/30 04:19:44 - mmengine - INFO - Epoch(val) [46][280/310] eta: 0:00:08 time: 1.087 data_time: 1.011 memory: 1479 2022/06/30 04:19:48 - mmengine - INFO - Epoch(val) [46][300/310] eta: 0:00:02 time: 0.079 data_time: 0.007 memory: 1479 2022/06/30 04:19:51 - mmengine - INFO - Epoch(val) [46][310/310] acc/top1: 0.6543 acc/top5: 0.8597 acc/mean1: 0.6543 2022/06/30 04:20:00 - mmengine - INFO - Epoch(train) [47][20/3757] lr: 1.000e-03 eta: 15:29:52 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.9496 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2388 loss: 1.2388 2022/06/30 04:20:06 - mmengine - INFO - Epoch(train) [47][40/3757] lr: 1.000e-03 eta: 15:29:47 time: 0.479 data_time: 0.012 memory: 6404 grad_norm: 6.1149 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5020 loss: 1.5020 2022/06/30 04:20:11 - mmengine - INFO - Epoch(train) [47][60/3757] lr: 1.000e-03 eta: 15:29:41 time: 0.266 data_time: 0.009 memory: 6404 grad_norm: 5.3144 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1438 loss: 1.1438 2022/06/30 04:20:17 - mmengine - INFO - Epoch(train) [47][80/3757] lr: 1.000e-03 eta: 15:29:36 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 4.8979 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0058 loss: 1.0058 2022/06/30 04:20:22 - mmengine - INFO - Epoch(train) [47][100/3757] lr: 1.000e-03 eta: 15:29:30 time: 0.260 data_time: 0.020 memory: 6404 grad_norm: 5.7846 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1241 loss: 1.1241 2022/06/30 04:20:28 - mmengine - INFO - Epoch(train) [47][120/3757] lr: 1.000e-03 eta: 15:29:24 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 6.1967 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.4594 loss: 1.4594 2022/06/30 04:20:33 - mmengine - INFO - Epoch(train) [47][140/3757] lr: 1.000e-03 eta: 15:29:19 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 6.2494 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3579 loss: 1.3579 2022/06/30 04:20:39 - mmengine - INFO - Epoch(train) [47][160/3757] lr: 1.000e-03 eta: 15:29:13 time: 0.240 data_time: 0.011 memory: 6404 grad_norm: 8.0805 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2937 loss: 1.2937 2022/06/30 04:20:43 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 04:20:44 - mmengine - INFO - Epoch(train) [47][180/3757] lr: 1.000e-03 eta: 15:29:07 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 6.6110 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2351 loss: 1.2351 2022/06/30 04:20:50 - mmengine - INFO - Epoch(train) [47][200/3757] lr: 1.000e-03 eta: 15:29:02 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 5.0813 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4060 loss: 1.4060 2022/06/30 04:20:55 - mmengine - INFO - Epoch(train) [47][220/3757] lr: 1.000e-03 eta: 15:28:57 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 6.5068 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5143 loss: 1.5143 2022/06/30 04:21:01 - mmengine - INFO - Epoch(train) [47][240/3757] lr: 1.000e-03 eta: 15:28:51 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 6.5328 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4734 loss: 1.4734 2022/06/30 04:21:06 - mmengine - INFO - Epoch(train) [47][260/3757] lr: 1.000e-03 eta: 15:28:45 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.8821 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3308 loss: 1.3308 2022/06/30 04:21:11 - mmengine - INFO - Epoch(train) [47][280/3757] lr: 1.000e-03 eta: 15:28:40 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 6.5585 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0429 loss: 1.0429 2022/06/30 04:21:17 - mmengine - INFO - Epoch(train) [47][300/3757] lr: 1.000e-03 eta: 15:28:35 time: 0.255 data_time: 0.012 memory: 6404 grad_norm: 6.1353 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3542 loss: 1.3542 2022/06/30 04:21:23 - mmengine - INFO - Epoch(train) [47][320/3757] lr: 1.000e-03 eta: 15:28:29 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.0063 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1592 loss: 1.1592 2022/06/30 04:21:28 - mmengine - INFO - Epoch(train) [47][340/3757] lr: 1.000e-03 eta: 15:28:24 time: 0.252 data_time: 0.017 memory: 6404 grad_norm: 7.2734 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7093 loss: 1.7093 2022/06/30 04:21:33 - mmengine - INFO - Epoch(train) [47][360/3757] lr: 1.000e-03 eta: 15:28:18 time: 0.271 data_time: 0.012 memory: 6404 grad_norm: 6.9413 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3075 loss: 1.3075 2022/06/30 04:21:39 - mmengine - INFO - Epoch(train) [47][380/3757] lr: 1.000e-03 eta: 15:28:12 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.8679 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3662 loss: 1.3662 2022/06/30 04:21:44 - mmengine - INFO - Epoch(train) [47][400/3757] lr: 1.000e-03 eta: 15:28:06 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.2569 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3200 loss: 1.3200 2022/06/30 04:21:49 - mmengine - INFO - Epoch(train) [47][420/3757] lr: 1.000e-03 eta: 15:28:00 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 5.9867 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6435 loss: 1.6435 2022/06/30 04:21:55 - mmengine - INFO - Epoch(train) [47][440/3757] lr: 1.000e-03 eta: 15:27:55 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 6.6901 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8802 loss: 0.8802 2022/06/30 04:22:00 - mmengine - INFO - Epoch(train) [47][460/3757] lr: 1.000e-03 eta: 15:27:49 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 6.4747 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1963 loss: 1.1963 2022/06/30 04:22:06 - mmengine - INFO - Epoch(train) [47][480/3757] lr: 1.000e-03 eta: 15:27:44 time: 0.242 data_time: 0.010 memory: 6404 grad_norm: 5.3758 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3864 loss: 1.3864 2022/06/30 04:22:11 - mmengine - INFO - Epoch(train) [47][500/3757] lr: 1.000e-03 eta: 15:27:38 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.2477 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5490 loss: 1.5490 2022/06/30 04:22:17 - mmengine - INFO - Epoch(train) [47][520/3757] lr: 1.000e-03 eta: 15:27:33 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.4257 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3604 loss: 1.3604 2022/06/30 04:22:22 - mmengine - INFO - Epoch(train) [47][540/3757] lr: 1.000e-03 eta: 15:27:27 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 6.7125 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4593 loss: 1.4593 2022/06/30 04:22:28 - mmengine - INFO - Epoch(train) [47][560/3757] lr: 1.000e-03 eta: 15:27:22 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 6.5342 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5040 loss: 1.5040 2022/06/30 04:22:33 - mmengine - INFO - Epoch(train) [47][580/3757] lr: 1.000e-03 eta: 15:27:16 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.9734 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3327 loss: 1.3327 2022/06/30 04:22:39 - mmengine - INFO - Epoch(train) [47][600/3757] lr: 1.000e-03 eta: 15:27:11 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 6.3543 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3905 loss: 1.3905 2022/06/30 04:22:44 - mmengine - INFO - Epoch(train) [47][620/3757] lr: 1.000e-03 eta: 15:27:05 time: 0.296 data_time: 0.007 memory: 6404 grad_norm: 7.6479 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.7464 loss: 1.7464 2022/06/30 04:22:50 - mmengine - INFO - Epoch(train) [47][640/3757] lr: 1.000e-03 eta: 15:27:00 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 7.5679 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5251 loss: 1.5251 2022/06/30 04:22:55 - mmengine - INFO - Epoch(train) [47][660/3757] lr: 1.000e-03 eta: 15:26:54 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.8307 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1106 loss: 1.1106 2022/06/30 04:23:01 - mmengine - INFO - Epoch(train) [47][680/3757] lr: 1.000e-03 eta: 15:26:49 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.7675 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5301 loss: 1.5301 2022/06/30 04:23:06 - mmengine - INFO - Epoch(train) [47][700/3757] lr: 1.000e-03 eta: 15:26:43 time: 0.262 data_time: 0.010 memory: 6404 grad_norm: 6.7561 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1884 loss: 1.1884 2022/06/30 04:23:11 - mmengine - INFO - Epoch(train) [47][720/3757] lr: 1.000e-03 eta: 15:26:37 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 6.6322 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3473 loss: 1.3473 2022/06/30 04:23:18 - mmengine - INFO - Epoch(train) [47][740/3757] lr: 1.000e-03 eta: 15:26:33 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 6.7383 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1474 loss: 1.1474 2022/06/30 04:23:23 - mmengine - INFO - Epoch(train) [47][760/3757] lr: 1.000e-03 eta: 15:26:27 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 6.8879 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4767 loss: 1.4767 2022/06/30 04:23:28 - mmengine - INFO - Epoch(train) [47][780/3757] lr: 1.000e-03 eta: 15:26:21 time: 0.242 data_time: 0.013 memory: 6404 grad_norm: 6.3484 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7360 loss: 1.7360 2022/06/30 04:23:34 - mmengine - INFO - Epoch(train) [47][800/3757] lr: 1.000e-03 eta: 15:26:15 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.8271 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2629 loss: 1.2629 2022/06/30 04:23:39 - mmengine - INFO - Epoch(train) [47][820/3757] lr: 1.000e-03 eta: 15:26:10 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.4992 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1186 loss: 1.1186 2022/06/30 04:23:44 - mmengine - INFO - Epoch(train) [47][840/3757] lr: 1.000e-03 eta: 15:26:04 time: 0.278 data_time: 0.007 memory: 6404 grad_norm: 6.4599 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3525 loss: 1.3525 2022/06/30 04:23:49 - mmengine - INFO - Epoch(train) [47][860/3757] lr: 1.000e-03 eta: 15:25:58 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.0212 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5422 loss: 1.5422 2022/06/30 04:23:55 - mmengine - INFO - Epoch(train) [47][880/3757] lr: 1.000e-03 eta: 15:25:52 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.6801 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8771 loss: 0.8771 2022/06/30 04:24:00 - mmengine - INFO - Epoch(train) [47][900/3757] lr: 1.000e-03 eta: 15:25:46 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 5.4704 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4303 loss: 1.4303 2022/06/30 04:24:05 - mmengine - INFO - Epoch(train) [47][920/3757] lr: 1.000e-03 eta: 15:25:41 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.9223 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8799 loss: 1.8799 2022/06/30 04:24:11 - mmengine - INFO - Epoch(train) [47][940/3757] lr: 1.000e-03 eta: 15:25:36 time: 0.418 data_time: 0.007 memory: 6404 grad_norm: 5.5758 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2689 loss: 1.2689 2022/06/30 04:24:16 - mmengine - INFO - Epoch(train) [47][960/3757] lr: 1.000e-03 eta: 15:25:30 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 6.3572 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9023 loss: 0.9023 2022/06/30 04:24:22 - mmengine - INFO - Epoch(train) [47][980/3757] lr: 1.000e-03 eta: 15:25:25 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 6.5505 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6411 loss: 1.6411 2022/06/30 04:24:28 - mmengine - INFO - Epoch(train) [47][1000/3757] lr: 1.000e-03 eta: 15:25:19 time: 0.534 data_time: 0.006 memory: 6404 grad_norm: 4.5633 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2543 loss: 1.2543 2022/06/30 04:24:33 - mmengine - INFO - Epoch(train) [47][1020/3757] lr: 1.000e-03 eta: 15:25:14 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.4271 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0986 loss: 1.0986 2022/06/30 04:24:39 - mmengine - INFO - Epoch(train) [47][1040/3757] lr: 1.000e-03 eta: 15:25:09 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.3447 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2528 loss: 1.2528 2022/06/30 04:24:44 - mmengine - INFO - Epoch(train) [47][1060/3757] lr: 1.000e-03 eta: 15:25:03 time: 0.304 data_time: 0.015 memory: 6404 grad_norm: 6.7776 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9252 loss: 1.9252 2022/06/30 04:24:49 - mmengine - INFO - Epoch(train) [47][1080/3757] lr: 1.000e-03 eta: 15:24:57 time: 0.255 data_time: 0.048 memory: 6404 grad_norm: 6.9427 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4327 loss: 1.4327 2022/06/30 04:24:55 - mmengine - INFO - Epoch(train) [47][1100/3757] lr: 1.000e-03 eta: 15:24:51 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 6.1702 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3239 loss: 1.3239 2022/06/30 04:25:00 - mmengine - INFO - Epoch(train) [47][1120/3757] lr: 1.000e-03 eta: 15:24:46 time: 0.403 data_time: 0.007 memory: 6404 grad_norm: 6.9739 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4965 loss: 1.4965 2022/06/30 04:25:06 - mmengine - INFO - Epoch(train) [47][1140/3757] lr: 1.000e-03 eta: 15:24:40 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 6.4102 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2557 loss: 1.2557 2022/06/30 04:25:11 - mmengine - INFO - Epoch(train) [47][1160/3757] lr: 1.000e-03 eta: 15:24:34 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 7.0631 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5339 loss: 1.5339 2022/06/30 04:25:15 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 04:25:16 - mmengine - INFO - Epoch(train) [47][1180/3757] lr: 1.000e-03 eta: 15:24:28 time: 0.404 data_time: 0.007 memory: 6404 grad_norm: 6.2007 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3664 loss: 1.3664 2022/06/30 04:25:21 - mmengine - INFO - Epoch(train) [47][1200/3757] lr: 1.000e-03 eta: 15:24:22 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 7.2130 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5942 loss: 1.5942 2022/06/30 04:25:27 - mmengine - INFO - Epoch(train) [47][1220/3757] lr: 1.000e-03 eta: 15:24:17 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.2547 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0980 loss: 1.0980 2022/06/30 04:25:32 - mmengine - INFO - Epoch(train) [47][1240/3757] lr: 1.000e-03 eta: 15:24:11 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 6.8695 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3594 loss: 1.3594 2022/06/30 04:25:38 - mmengine - INFO - Epoch(train) [47][1260/3757] lr: 1.000e-03 eta: 15:24:06 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 7.1077 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1927 loss: 1.1927 2022/06/30 04:25:43 - mmengine - INFO - Epoch(train) [47][1280/3757] lr: 1.000e-03 eta: 15:24:00 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.8677 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9523 loss: 0.9523 2022/06/30 04:25:49 - mmengine - INFO - Epoch(train) [47][1300/3757] lr: 1.000e-03 eta: 15:23:55 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 5.9466 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3800 loss: 1.3800 2022/06/30 04:25:55 - mmengine - INFO - Epoch(train) [47][1320/3757] lr: 1.000e-03 eta: 15:23:50 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 7.6197 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2811 loss: 1.2811 2022/06/30 04:26:00 - mmengine - INFO - Epoch(train) [47][1340/3757] lr: 1.000e-03 eta: 15:23:45 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 5.7469 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3155 loss: 1.3155 2022/06/30 04:26:06 - mmengine - INFO - Epoch(train) [47][1360/3757] lr: 1.000e-03 eta: 15:23:39 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 6.5995 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3170 loss: 1.3170 2022/06/30 04:26:12 - mmengine - INFO - Epoch(train) [47][1380/3757] lr: 1.000e-03 eta: 15:23:34 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 6.5019 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2162 loss: 1.2162 2022/06/30 04:26:17 - mmengine - INFO - Epoch(train) [47][1400/3757] lr: 1.000e-03 eta: 15:23:28 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 6.8043 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8591 loss: 1.8591 2022/06/30 04:26:22 - mmengine - INFO - Epoch(train) [47][1420/3757] lr: 1.000e-03 eta: 15:23:22 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 6.3427 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1919 loss: 1.1919 2022/06/30 04:26:28 - mmengine - INFO - Epoch(train) [47][1440/3757] lr: 1.000e-03 eta: 15:23:17 time: 0.284 data_time: 0.007 memory: 6404 grad_norm: 6.0209 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2481 loss: 1.2481 2022/06/30 04:26:33 - mmengine - INFO - Epoch(train) [47][1460/3757] lr: 1.000e-03 eta: 15:23:11 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.1604 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4472 loss: 1.4472 2022/06/30 04:26:39 - mmengine - INFO - Epoch(train) [47][1480/3757] lr: 1.000e-03 eta: 15:23:06 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.6781 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3946 loss: 1.3946 2022/06/30 04:26:44 - mmengine - INFO - Epoch(train) [47][1500/3757] lr: 1.000e-03 eta: 15:23:00 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.4299 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3739 loss: 1.3739 2022/06/30 04:26:50 - mmengine - INFO - Epoch(train) [47][1520/3757] lr: 1.000e-03 eta: 15:22:54 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 5.0690 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3551 loss: 1.3551 2022/06/30 04:26:55 - mmengine - INFO - Epoch(train) [47][1540/3757] lr: 1.000e-03 eta: 15:22:49 time: 0.389 data_time: 0.007 memory: 6404 grad_norm: 5.9782 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4385 loss: 1.4385 2022/06/30 04:27:01 - mmengine - INFO - Epoch(train) [47][1560/3757] lr: 1.000e-03 eta: 15:22:44 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.6257 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0941 loss: 1.0941 2022/06/30 04:27:07 - mmengine - INFO - Epoch(train) [47][1580/3757] lr: 1.000e-03 eta: 15:22:39 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 6.2635 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6331 loss: 1.6331 2022/06/30 04:27:12 - mmengine - INFO - Epoch(train) [47][1600/3757] lr: 1.000e-03 eta: 15:22:33 time: 0.276 data_time: 0.007 memory: 6404 grad_norm: 6.9338 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9457 loss: 0.9457 2022/06/30 04:27:17 - mmengine - INFO - Epoch(train) [47][1620/3757] lr: 1.000e-03 eta: 15:22:27 time: 0.403 data_time: 0.180 memory: 6404 grad_norm: 6.6488 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2616 loss: 1.2616 2022/06/30 04:27:22 - mmengine - INFO - Epoch(train) [47][1640/3757] lr: 1.000e-03 eta: 15:22:21 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 6.5966 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5003 loss: 1.5003 2022/06/30 04:27:28 - mmengine - INFO - Epoch(train) [47][1660/3757] lr: 1.000e-03 eta: 15:22:16 time: 0.266 data_time: 0.015 memory: 6404 grad_norm: 5.6900 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7695 loss: 1.7695 2022/06/30 04:27:33 - mmengine - INFO - Epoch(train) [47][1680/3757] lr: 1.000e-03 eta: 15:22:10 time: 0.252 data_time: 0.015 memory: 6404 grad_norm: 6.4128 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5140 loss: 1.5140 2022/06/30 04:27:39 - mmengine - INFO - Epoch(train) [47][1700/3757] lr: 1.000e-03 eta: 15:22:05 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 6.2810 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5720 loss: 1.5720 2022/06/30 04:27:44 - mmengine - INFO - Epoch(train) [47][1720/3757] lr: 1.000e-03 eta: 15:21:59 time: 0.263 data_time: 0.020 memory: 6404 grad_norm: 5.8214 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4936 loss: 1.4936 2022/06/30 04:27:50 - mmengine - INFO - Epoch(train) [47][1740/3757] lr: 1.000e-03 eta: 15:21:54 time: 0.261 data_time: 0.013 memory: 6404 grad_norm: 6.4859 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4323 loss: 1.4323 2022/06/30 04:27:55 - mmengine - INFO - Epoch(train) [47][1760/3757] lr: 1.000e-03 eta: 15:21:48 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 7.3562 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5718 loss: 1.5718 2022/06/30 04:28:01 - mmengine - INFO - Epoch(train) [47][1780/3757] lr: 1.000e-03 eta: 15:21:42 time: 0.248 data_time: 0.027 memory: 6404 grad_norm: 5.6129 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2824 loss: 1.2824 2022/06/30 04:28:06 - mmengine - INFO - Epoch(train) [47][1800/3757] lr: 1.000e-03 eta: 15:21:37 time: 0.298 data_time: 0.008 memory: 6404 grad_norm: 5.8800 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0929 loss: 1.0929 2022/06/30 04:28:12 - mmengine - INFO - Epoch(train) [47][1820/3757] lr: 1.000e-03 eta: 15:21:31 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.6025 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1804 loss: 1.1804 2022/06/30 04:28:17 - mmengine - INFO - Epoch(train) [47][1840/3757] lr: 1.000e-03 eta: 15:21:26 time: 0.421 data_time: 0.033 memory: 6404 grad_norm: 6.5405 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6372 loss: 1.6372 2022/06/30 04:28:22 - mmengine - INFO - Epoch(train) [47][1860/3757] lr: 1.000e-03 eta: 15:21:20 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 6.1746 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1093 loss: 1.1093 2022/06/30 04:28:29 - mmengine - INFO - Epoch(train) [47][1880/3757] lr: 1.000e-03 eta: 15:21:15 time: 0.277 data_time: 0.010 memory: 6404 grad_norm: 5.6322 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2152 loss: 1.2152 2022/06/30 04:28:34 - mmengine - INFO - Epoch(train) [47][1900/3757] lr: 1.000e-03 eta: 15:21:09 time: 0.254 data_time: 0.022 memory: 6404 grad_norm: 6.8572 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7599 loss: 1.7599 2022/06/30 04:28:39 - mmengine - INFO - Epoch(train) [47][1920/3757] lr: 1.000e-03 eta: 15:21:04 time: 0.309 data_time: 0.014 memory: 6404 grad_norm: 6.8089 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1370 loss: 1.1370 2022/06/30 04:28:44 - mmengine - INFO - Epoch(train) [47][1940/3757] lr: 1.000e-03 eta: 15:20:58 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.8471 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4284 loss: 1.4284 2022/06/30 04:28:50 - mmengine - INFO - Epoch(train) [47][1960/3757] lr: 1.000e-03 eta: 15:20:53 time: 0.268 data_time: 0.037 memory: 6404 grad_norm: 5.7960 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3520 loss: 1.3520 2022/06/30 04:28:55 - mmengine - INFO - Epoch(train) [47][1980/3757] lr: 1.000e-03 eta: 15:20:47 time: 0.249 data_time: 0.027 memory: 6404 grad_norm: 5.7742 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2096 loss: 1.2096 2022/06/30 04:29:01 - mmengine - INFO - Epoch(train) [47][2000/3757] lr: 1.000e-03 eta: 15:20:42 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 5.2871 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5931 loss: 1.5931 2022/06/30 04:29:06 - mmengine - INFO - Epoch(train) [47][2020/3757] lr: 1.000e-03 eta: 15:20:36 time: 0.351 data_time: 0.153 memory: 6404 grad_norm: 6.0357 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4300 loss: 1.4300 2022/06/30 04:29:12 - mmengine - INFO - Epoch(train) [47][2040/3757] lr: 1.000e-03 eta: 15:20:30 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 4.8651 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3563 loss: 1.3563 2022/06/30 04:29:18 - mmengine - INFO - Epoch(train) [47][2060/3757] lr: 1.000e-03 eta: 15:20:25 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 6.7647 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7507 loss: 1.7507 2022/06/30 04:29:23 - mmengine - INFO - Epoch(train) [47][2080/3757] lr: 1.000e-03 eta: 15:20:20 time: 0.261 data_time: 0.074 memory: 6404 grad_norm: 6.0364 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3235 loss: 1.3235 2022/06/30 04:29:28 - mmengine - INFO - Epoch(train) [47][2100/3757] lr: 1.000e-03 eta: 15:20:14 time: 0.277 data_time: 0.007 memory: 6404 grad_norm: 7.7853 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2827 loss: 1.2827 2022/06/30 04:29:34 - mmengine - INFO - Epoch(train) [47][2120/3757] lr: 1.000e-03 eta: 15:20:08 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 5.9185 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3992 loss: 1.3992 2022/06/30 04:29:40 - mmengine - INFO - Epoch(train) [47][2140/3757] lr: 1.000e-03 eta: 15:20:03 time: 0.276 data_time: 0.082 memory: 6404 grad_norm: 4.9253 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4760 loss: 1.4760 2022/06/30 04:29:45 - mmengine - INFO - Epoch(train) [47][2160/3757] lr: 1.000e-03 eta: 15:19:57 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.9501 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4200 loss: 1.4200 2022/06/30 04:29:50 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 04:29:50 - mmengine - INFO - Epoch(train) [47][2180/3757] lr: 1.000e-03 eta: 15:19:51 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.5347 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1756 loss: 1.1756 2022/06/30 04:29:55 - mmengine - INFO - Epoch(train) [47][2200/3757] lr: 1.000e-03 eta: 15:19:45 time: 0.258 data_time: 0.022 memory: 6404 grad_norm: 5.7432 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0410 loss: 1.0410 2022/06/30 04:30:00 - mmengine - INFO - Epoch(train) [47][2220/3757] lr: 1.000e-03 eta: 15:19:40 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.4585 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6284 loss: 1.6284 2022/06/30 04:30:05 - mmengine - INFO - Epoch(train) [47][2240/3757] lr: 1.000e-03 eta: 15:19:34 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 6.7570 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0913 loss: 1.0913 2022/06/30 04:30:11 - mmengine - INFO - Epoch(train) [47][2260/3757] lr: 1.000e-03 eta: 15:19:28 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 6.2816 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2681 loss: 1.2681 2022/06/30 04:30:18 - mmengine - INFO - Epoch(train) [47][2280/3757] lr: 1.000e-03 eta: 15:19:24 time: 1.372 data_time: 0.008 memory: 6404 grad_norm: 6.4304 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4778 loss: 1.4778 2022/06/30 04:30:23 - mmengine - INFO - Epoch(train) [47][2300/3757] lr: 1.000e-03 eta: 15:19:18 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.9096 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4452 loss: 1.4452 2022/06/30 04:30:28 - mmengine - INFO - Epoch(train) [47][2320/3757] lr: 1.000e-03 eta: 15:19:12 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 6.1618 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2221 loss: 1.2221 2022/06/30 04:30:33 - mmengine - INFO - Epoch(train) [47][2340/3757] lr: 1.000e-03 eta: 15:19:06 time: 0.273 data_time: 0.010 memory: 6404 grad_norm: 5.6528 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8851 loss: 0.8851 2022/06/30 04:30:39 - mmengine - INFO - Epoch(train) [47][2360/3757] lr: 1.000e-03 eta: 15:19:01 time: 0.259 data_time: 0.022 memory: 6404 grad_norm: 5.9096 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6051 loss: 1.6051 2022/06/30 04:30:44 - mmengine - INFO - Epoch(train) [47][2380/3757] lr: 1.000e-03 eta: 15:18:55 time: 0.274 data_time: 0.014 memory: 6404 grad_norm: 5.4525 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0223 loss: 1.0223 2022/06/30 04:30:50 - mmengine - INFO - Epoch(train) [47][2400/3757] lr: 1.000e-03 eta: 15:18:50 time: 0.273 data_time: 0.011 memory: 6404 grad_norm: 5.6991 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1921 loss: 1.1921 2022/06/30 04:30:55 - mmengine - INFO - Epoch(train) [47][2420/3757] lr: 1.000e-03 eta: 15:18:44 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.0545 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5555 loss: 1.5555 2022/06/30 04:31:01 - mmengine - INFO - Epoch(train) [47][2440/3757] lr: 1.000e-03 eta: 15:18:39 time: 0.244 data_time: 0.026 memory: 6404 grad_norm: 5.7901 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2185 loss: 1.2185 2022/06/30 04:31:07 - mmengine - INFO - Epoch(train) [47][2460/3757] lr: 1.000e-03 eta: 15:18:34 time: 0.334 data_time: 0.008 memory: 6404 grad_norm: 6.2197 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6889 loss: 1.6889 2022/06/30 04:31:12 - mmengine - INFO - Epoch(train) [47][2480/3757] lr: 1.000e-03 eta: 15:18:28 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 6.7726 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5914 loss: 1.5914 2022/06/30 04:31:18 - mmengine - INFO - Epoch(train) [47][2500/3757] lr: 1.000e-03 eta: 15:18:23 time: 0.268 data_time: 0.011 memory: 6404 grad_norm: 6.4802 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6477 loss: 1.6477 2022/06/30 04:31:23 - mmengine - INFO - Epoch(train) [47][2520/3757] lr: 1.000e-03 eta: 15:18:17 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.7609 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4620 loss: 1.4620 2022/06/30 04:31:28 - mmengine - INFO - Epoch(train) [47][2540/3757] lr: 1.000e-03 eta: 15:18:11 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 6.5139 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4266 loss: 1.4266 2022/06/30 04:31:33 - mmengine - INFO - Epoch(train) [47][2560/3757] lr: 1.000e-03 eta: 15:18:05 time: 0.247 data_time: 0.026 memory: 6404 grad_norm: 6.4156 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9314 loss: 1.9314 2022/06/30 04:31:39 - mmengine - INFO - Epoch(train) [47][2580/3757] lr: 1.000e-03 eta: 15:18:00 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 5.7623 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2644 loss: 1.2644 2022/06/30 04:31:44 - mmengine - INFO - Epoch(train) [47][2600/3757] lr: 1.000e-03 eta: 15:17:54 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 4.9757 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4232 loss: 1.4232 2022/06/30 04:31:51 - mmengine - INFO - Epoch(train) [47][2620/3757] lr: 1.000e-03 eta: 15:17:49 time: 0.262 data_time: 0.010 memory: 6404 grad_norm: 5.8819 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1847 loss: 1.1847 2022/06/30 04:31:56 - mmengine - INFO - Epoch(train) [47][2640/3757] lr: 1.000e-03 eta: 15:17:43 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.5553 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5136 loss: 1.5136 2022/06/30 04:32:01 - mmengine - INFO - Epoch(train) [47][2660/3757] lr: 1.000e-03 eta: 15:17:38 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 6.1714 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3830 loss: 1.3830 2022/06/30 04:32:07 - mmengine - INFO - Epoch(train) [47][2680/3757] lr: 1.000e-03 eta: 15:17:32 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 5.4289 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4168 loss: 1.4168 2022/06/30 04:32:12 - mmengine - INFO - Epoch(train) [47][2700/3757] lr: 1.000e-03 eta: 15:17:27 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 7.0536 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3050 loss: 1.3050 2022/06/30 04:32:17 - mmengine - INFO - Epoch(train) [47][2720/3757] lr: 1.000e-03 eta: 15:17:21 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.8314 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4326 loss: 1.4326 2022/06/30 04:32:22 - mmengine - INFO - Epoch(train) [47][2740/3757] lr: 1.000e-03 eta: 15:17:15 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 5.9835 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3354 loss: 1.3354 2022/06/30 04:32:28 - mmengine - INFO - Epoch(train) [47][2760/3757] lr: 1.000e-03 eta: 15:17:10 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 6.7165 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1680 loss: 1.1680 2022/06/30 04:32:34 - mmengine - INFO - Epoch(train) [47][2780/3757] lr: 1.000e-03 eta: 15:17:04 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.9432 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9249 loss: 0.9249 2022/06/30 04:32:40 - mmengine - INFO - Epoch(train) [47][2800/3757] lr: 1.000e-03 eta: 15:16:59 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.4138 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4308 loss: 1.4308 2022/06/30 04:32:45 - mmengine - INFO - Epoch(train) [47][2820/3757] lr: 1.000e-03 eta: 15:16:53 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 6.2478 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4806 loss: 1.4806 2022/06/30 04:32:50 - mmengine - INFO - Epoch(train) [47][2840/3757] lr: 1.000e-03 eta: 15:16:48 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 6.1705 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6974 loss: 1.6974 2022/06/30 04:32:56 - mmengine - INFO - Epoch(train) [47][2860/3757] lr: 1.000e-03 eta: 15:16:42 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.4845 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3867 loss: 1.3867 2022/06/30 04:33:01 - mmengine - INFO - Epoch(train) [47][2880/3757] lr: 1.000e-03 eta: 15:16:36 time: 0.251 data_time: 0.019 memory: 6404 grad_norm: 6.0201 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5474 loss: 1.5474 2022/06/30 04:33:06 - mmengine - INFO - Epoch(train) [47][2900/3757] lr: 1.000e-03 eta: 15:16:31 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.0375 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5563 loss: 1.5563 2022/06/30 04:33:13 - mmengine - INFO - Epoch(train) [47][2920/3757] lr: 1.000e-03 eta: 15:16:26 time: 0.255 data_time: 0.049 memory: 6404 grad_norm: 6.2812 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8376 loss: 1.8376 2022/06/30 04:33:18 - mmengine - INFO - Epoch(train) [47][2940/3757] lr: 1.000e-03 eta: 15:16:20 time: 0.248 data_time: 0.013 memory: 6404 grad_norm: 5.3630 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5757 loss: 1.5757 2022/06/30 04:33:23 - mmengine - INFO - Epoch(train) [47][2960/3757] lr: 1.000e-03 eta: 15:16:15 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.7599 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6541 loss: 1.6541 2022/06/30 04:33:30 - mmengine - INFO - Epoch(train) [47][2980/3757] lr: 1.000e-03 eta: 15:16:10 time: 0.253 data_time: 0.021 memory: 6404 grad_norm: 6.0682 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7353 loss: 1.7353 2022/06/30 04:33:35 - mmengine - INFO - Epoch(train) [47][3000/3757] lr: 1.000e-03 eta: 15:16:04 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 5.8680 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6599 loss: 1.6599 2022/06/30 04:33:40 - mmengine - INFO - Epoch(train) [47][3020/3757] lr: 1.000e-03 eta: 15:15:58 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 6.2975 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9482 loss: 1.9482 2022/06/30 04:33:45 - mmengine - INFO - Epoch(train) [47][3040/3757] lr: 1.000e-03 eta: 15:15:52 time: 0.255 data_time: 0.012 memory: 6404 grad_norm: 5.9492 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3420 loss: 1.3420 2022/06/30 04:33:51 - mmengine - INFO - Epoch(train) [47][3060/3757] lr: 1.000e-03 eta: 15:15:47 time: 0.258 data_time: 0.013 memory: 6404 grad_norm: 6.1645 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0954 loss: 1.0954 2022/06/30 04:33:56 - mmengine - INFO - Epoch(train) [47][3080/3757] lr: 1.000e-03 eta: 15:15:41 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 6.9996 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2321 loss: 1.2321 2022/06/30 04:34:01 - mmengine - INFO - Epoch(train) [47][3100/3757] lr: 1.000e-03 eta: 15:15:36 time: 0.259 data_time: 0.018 memory: 6404 grad_norm: 6.1023 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4382 loss: 1.4382 2022/06/30 04:34:07 - mmengine - INFO - Epoch(train) [47][3120/3757] lr: 1.000e-03 eta: 15:15:30 time: 0.584 data_time: 0.008 memory: 6404 grad_norm: 6.2594 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3064 loss: 1.3064 2022/06/30 04:34:12 - mmengine - INFO - Epoch(train) [47][3140/3757] lr: 1.000e-03 eta: 15:15:25 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.6329 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0719 loss: 1.0719 2022/06/30 04:34:18 - mmengine - INFO - Epoch(train) [47][3160/3757] lr: 1.000e-03 eta: 15:15:19 time: 0.541 data_time: 0.014 memory: 6404 grad_norm: 6.3725 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4676 loss: 1.4676 2022/06/30 04:34:23 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 04:34:23 - mmengine - INFO - Epoch(train) [47][3180/3757] lr: 1.000e-03 eta: 15:15:13 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.0977 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3559 loss: 1.3559 2022/06/30 04:34:28 - mmengine - INFO - Epoch(train) [47][3200/3757] lr: 1.000e-03 eta: 15:15:08 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 6.8807 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1296 loss: 1.1296 2022/06/30 04:34:33 - mmengine - INFO - Epoch(train) [47][3220/3757] lr: 1.000e-03 eta: 15:15:02 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 7.8061 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6261 loss: 1.6261 2022/06/30 04:34:39 - mmengine - INFO - Epoch(train) [47][3240/3757] lr: 1.000e-03 eta: 15:14:56 time: 0.265 data_time: 0.010 memory: 6404 grad_norm: 6.5576 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2940 loss: 1.2940 2022/06/30 04:34:44 - mmengine - INFO - Epoch(train) [47][3260/3757] lr: 1.000e-03 eta: 15:14:50 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 6.7649 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0382 loss: 1.0382 2022/06/30 04:34:50 - mmengine - INFO - Epoch(train) [47][3280/3757] lr: 1.000e-03 eta: 15:14:45 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 4.6644 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6061 loss: 1.6061 2022/06/30 04:34:55 - mmengine - INFO - Epoch(train) [47][3300/3757] lr: 1.000e-03 eta: 15:14:39 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 6.9927 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1926 loss: 1.1926 2022/06/30 04:35:01 - mmengine - INFO - Epoch(train) [47][3320/3757] lr: 1.000e-03 eta: 15:14:34 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 5.0858 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4829 loss: 1.4829 2022/06/30 04:35:07 - mmengine - INFO - Epoch(train) [47][3340/3757] lr: 1.000e-03 eta: 15:14:29 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 6.8077 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1812 loss: 1.1812 2022/06/30 04:35:12 - mmengine - INFO - Epoch(train) [47][3360/3757] lr: 1.000e-03 eta: 15:14:23 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 6.2141 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1100 loss: 1.1100 2022/06/30 04:35:17 - mmengine - INFO - Epoch(train) [47][3380/3757] lr: 1.000e-03 eta: 15:14:17 time: 0.298 data_time: 0.007 memory: 6404 grad_norm: 5.5439 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3861 loss: 1.3861 2022/06/30 04:35:23 - mmengine - INFO - Epoch(train) [47][3400/3757] lr: 1.000e-03 eta: 15:14:12 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 5.2423 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1349 loss: 1.1349 2022/06/30 04:35:29 - mmengine - INFO - Epoch(train) [47][3420/3757] lr: 1.000e-03 eta: 15:14:07 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 6.8150 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5847 loss: 1.5847 2022/06/30 04:35:34 - mmengine - INFO - Epoch(train) [47][3440/3757] lr: 1.000e-03 eta: 15:14:01 time: 0.262 data_time: 0.006 memory: 6404 grad_norm: 5.8306 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2470 loss: 1.2470 2022/06/30 04:35:39 - mmengine - INFO - Epoch(train) [47][3460/3757] lr: 1.000e-03 eta: 15:13:55 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 6.0695 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4845 loss: 1.4845 2022/06/30 04:35:45 - mmengine - INFO - Epoch(train) [47][3480/3757] lr: 1.000e-03 eta: 15:13:50 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.2395 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6359 loss: 1.6359 2022/06/30 04:35:51 - mmengine - INFO - Epoch(train) [47][3500/3757] lr: 1.000e-03 eta: 15:13:45 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 5.8326 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3079 loss: 1.3079 2022/06/30 04:35:56 - mmengine - INFO - Epoch(train) [47][3520/3757] lr: 1.000e-03 eta: 15:13:39 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 6.3215 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4236 loss: 1.4236 2022/06/30 04:36:02 - mmengine - INFO - Epoch(train) [47][3540/3757] lr: 1.000e-03 eta: 15:13:34 time: 0.253 data_time: 0.018 memory: 6404 grad_norm: 6.0309 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2961 loss: 1.2961 2022/06/30 04:36:07 - mmengine - INFO - Epoch(train) [47][3560/3757] lr: 1.000e-03 eta: 15:13:28 time: 0.280 data_time: 0.007 memory: 6404 grad_norm: 6.3170 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4162 loss: 1.4162 2022/06/30 04:36:12 - mmengine - INFO - Epoch(train) [47][3580/3757] lr: 1.000e-03 eta: 15:13:22 time: 0.273 data_time: 0.009 memory: 6404 grad_norm: 7.8806 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3515 loss: 1.3515 2022/06/30 04:36:18 - mmengine - INFO - Epoch(train) [47][3600/3757] lr: 1.000e-03 eta: 15:13:16 time: 0.260 data_time: 0.016 memory: 6404 grad_norm: 7.6077 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3980 loss: 1.3980 2022/06/30 04:36:23 - mmengine - INFO - Epoch(train) [47][3620/3757] lr: 1.000e-03 eta: 15:13:11 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 7.1031 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2384 loss: 1.2384 2022/06/30 04:36:29 - mmengine - INFO - Epoch(train) [47][3640/3757] lr: 1.000e-03 eta: 15:13:06 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 6.0773 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3964 loss: 1.3964 2022/06/30 04:36:34 - mmengine - INFO - Epoch(train) [47][3660/3757] lr: 1.000e-03 eta: 15:13:00 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 7.4341 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6299 loss: 1.6299 2022/06/30 04:36:40 - mmengine - INFO - Epoch(train) [47][3680/3757] lr: 1.000e-03 eta: 15:12:55 time: 0.554 data_time: 0.011 memory: 6404 grad_norm: 6.8535 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4537 loss: 1.4537 2022/06/30 04:36:45 - mmengine - INFO - Epoch(train) [47][3700/3757] lr: 1.000e-03 eta: 15:12:49 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 7.3538 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4590 loss: 1.4590 2022/06/30 04:36:51 - mmengine - INFO - Epoch(train) [47][3720/3757] lr: 1.000e-03 eta: 15:12:44 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.4031 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9785 loss: 1.9785 2022/06/30 04:36:57 - mmengine - INFO - Epoch(train) [47][3740/3757] lr: 1.000e-03 eta: 15:12:38 time: 0.265 data_time: 0.014 memory: 6404 grad_norm: 6.3624 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4050 loss: 1.4050 2022/06/30 04:37:01 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 04:37:08 - mmengine - INFO - Epoch(val) [47][20/310] eta: 0:01:26 time: 0.108 data_time: 0.024 memory: 6404 2022/06/30 04:37:14 - mmengine - INFO - Epoch(val) [47][40/310] eta: 0:01:20 time: 0.411 data_time: 0.326 memory: 1479 2022/06/30 04:37:17 - mmengine - INFO - Epoch(val) [47][60/310] eta: 0:00:33 time: 0.098 data_time: 0.014 memory: 1479 2022/06/30 04:37:24 - mmengine - INFO - Epoch(val) [47][80/310] eta: 0:01:14 time: 0.096 data_time: 0.010 memory: 1479 2022/06/30 04:37:30 - mmengine - INFO - Epoch(val) [47][100/310] eta: 0:01:03 time: 1.047 data_time: 0.960 memory: 1479 2022/06/30 04:37:34 - mmengine - INFO - Epoch(val) [47][120/310] eta: 0:00:37 time: 0.125 data_time: 0.014 memory: 1479 2022/06/30 04:37:40 - mmengine - INFO - Epoch(val) [47][140/310] eta: 0:00:52 time: 0.088 data_time: 0.007 memory: 1479 2022/06/30 04:37:46 - mmengine - INFO - Epoch(val) [47][160/310] eta: 0:00:48 time: 2.227 data_time: 2.139 memory: 1479 2022/06/30 04:37:50 - mmengine - INFO - Epoch(val) [47][180/310] eta: 0:00:42 time: 0.080 data_time: 0.005 memory: 1479 2022/06/30 04:37:56 - mmengine - INFO - Epoch(val) [47][200/310] eta: 0:00:34 time: 0.084 data_time: 0.007 memory: 1479 2022/06/30 04:38:02 - mmengine - INFO - Epoch(val) [47][220/310] eta: 0:00:26 time: 1.221 data_time: 1.132 memory: 1479 2022/06/30 04:38:06 - mmengine - INFO - Epoch(val) [47][240/310] eta: 0:00:19 time: 0.085 data_time: 0.005 memory: 1479 2022/06/30 04:38:12 - mmengine - INFO - Epoch(val) [47][260/310] eta: 0:00:15 time: 0.087 data_time: 0.006 memory: 1479 2022/06/30 04:38:18 - mmengine - INFO - Epoch(val) [47][280/310] eta: 0:00:08 time: 0.809 data_time: 0.682 memory: 1479 2022/06/30 04:38:21 - mmengine - INFO - Epoch(val) [47][300/310] eta: 0:00:02 time: 0.081 data_time: 0.005 memory: 1479 2022/06/30 04:38:24 - mmengine - INFO - Epoch(val) [47][310/310] acc/top1: 0.6578 acc/top5: 0.8597 acc/mean1: 0.6576 2022/06/30 04:38:33 - mmengine - INFO - Epoch(train) [48][20/3757] lr: 1.000e-03 eta: 15:12:29 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 6.5857 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3516 loss: 1.3516 2022/06/30 04:38:39 - mmengine - INFO - Epoch(train) [48][40/3757] lr: 1.000e-03 eta: 15:12:24 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 5.9097 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4967 loss: 1.4967 2022/06/30 04:38:44 - mmengine - INFO - Epoch(train) [48][60/3757] lr: 1.000e-03 eta: 15:12:18 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 6.1606 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3709 loss: 1.3709 2022/06/30 04:38:50 - mmengine - INFO - Epoch(train) [48][80/3757] lr: 1.000e-03 eta: 15:12:13 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 5.5111 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2453 loss: 1.2453 2022/06/30 04:38:55 - mmengine - INFO - Epoch(train) [48][100/3757] lr: 1.000e-03 eta: 15:12:07 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.2750 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6051 loss: 1.6051 2022/06/30 04:39:00 - mmengine - INFO - Epoch(train) [48][120/3757] lr: 1.000e-03 eta: 15:12:02 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.5217 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5138 loss: 1.5138 2022/06/30 04:39:06 - mmengine - INFO - Epoch(train) [48][140/3757] lr: 1.000e-03 eta: 15:11:57 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 6.7581 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3517 loss: 1.3517 2022/06/30 04:39:11 - mmengine - INFO - Epoch(train) [48][160/3757] lr: 1.000e-03 eta: 15:11:51 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 4.8103 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9770 loss: 0.9770 2022/06/30 04:39:17 - mmengine - INFO - Epoch(train) [48][180/3757] lr: 1.000e-03 eta: 15:11:45 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.6688 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6461 loss: 1.6461 2022/06/30 04:39:22 - mmengine - INFO - Epoch(train) [48][200/3757] lr: 1.000e-03 eta: 15:11:39 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.8142 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0117 loss: 1.0117 2022/06/30 04:39:28 - mmengine - INFO - Epoch(train) [48][220/3757] lr: 1.000e-03 eta: 15:11:34 time: 0.260 data_time: 0.009 memory: 6404 grad_norm: 6.3034 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4320 loss: 1.4320 2022/06/30 04:39:33 - mmengine - INFO - Epoch(train) [48][240/3757] lr: 1.000e-03 eta: 15:11:28 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 5.9102 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7279 loss: 1.7279 2022/06/30 04:39:39 - mmengine - INFO - Epoch(train) [48][260/3757] lr: 1.000e-03 eta: 15:11:24 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 6.1821 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4623 loss: 1.4623 2022/06/30 04:39:45 - mmengine - INFO - Epoch(train) [48][280/3757] lr: 1.000e-03 eta: 15:11:18 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 7.3237 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2972 loss: 1.2972 2022/06/30 04:39:50 - mmengine - INFO - Epoch(train) [48][300/3757] lr: 1.000e-03 eta: 15:11:12 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 5.6781 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5113 loss: 1.5113 2022/06/30 04:39:55 - mmengine - INFO - Epoch(train) [48][320/3757] lr: 1.000e-03 eta: 15:11:06 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.7059 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0271 loss: 1.0271 2022/06/30 04:40:01 - mmengine - INFO - Epoch(train) [48][340/3757] lr: 1.000e-03 eta: 15:11:01 time: 0.276 data_time: 0.006 memory: 6404 grad_norm: 6.0246 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1787 loss: 1.1787 2022/06/30 04:40:06 - mmengine - INFO - Epoch(train) [48][360/3757] lr: 1.000e-03 eta: 15:10:55 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 5.7953 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1654 loss: 1.1654 2022/06/30 04:40:12 - mmengine - INFO - Epoch(train) [48][380/3757] lr: 1.000e-03 eta: 15:10:50 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.1444 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2363 loss: 1.2363 2022/06/30 04:40:17 - mmengine - INFO - Epoch(train) [48][400/3757] lr: 1.000e-03 eta: 15:10:44 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 6.0765 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2652 loss: 1.2652 2022/06/30 04:40:23 - mmengine - INFO - Epoch(train) [48][420/3757] lr: 1.000e-03 eta: 15:10:39 time: 0.248 data_time: 0.013 memory: 6404 grad_norm: 5.8719 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3914 loss: 1.3914 2022/06/30 04:40:23 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 04:40:29 - mmengine - INFO - Epoch(train) [48][440/3757] lr: 1.000e-03 eta: 15:10:34 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 5.9363 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6304 loss: 1.6304 2022/06/30 04:40:34 - mmengine - INFO - Epoch(train) [48][460/3757] lr: 1.000e-03 eta: 15:10:28 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 6.2572 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3295 loss: 1.3295 2022/06/30 04:40:39 - mmengine - INFO - Epoch(train) [48][480/3757] lr: 1.000e-03 eta: 15:10:22 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 6.2770 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6456 loss: 1.6456 2022/06/30 04:40:45 - mmengine - INFO - Epoch(train) [48][500/3757] lr: 1.000e-03 eta: 15:10:17 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 7.4674 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5604 loss: 1.5604 2022/06/30 04:40:50 - mmengine - INFO - Epoch(train) [48][520/3757] lr: 1.000e-03 eta: 15:10:11 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 6.8445 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2262 loss: 1.2262 2022/06/30 04:40:56 - mmengine - INFO - Epoch(train) [48][540/3757] lr: 1.000e-03 eta: 15:10:06 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.5804 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6461 loss: 1.6461 2022/06/30 04:41:01 - mmengine - INFO - Epoch(train) [48][560/3757] lr: 1.000e-03 eta: 15:10:00 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.7502 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5624 loss: 1.5624 2022/06/30 04:41:07 - mmengine - INFO - Epoch(train) [48][580/3757] lr: 1.000e-03 eta: 15:09:55 time: 0.291 data_time: 0.007 memory: 6404 grad_norm: 5.8056 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3654 loss: 1.3654 2022/06/30 04:41:12 - mmengine - INFO - Epoch(train) [48][600/3757] lr: 1.000e-03 eta: 15:09:49 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 6.1718 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3107 loss: 1.3107 2022/06/30 04:41:18 - mmengine - INFO - Epoch(train) [48][620/3757] lr: 1.000e-03 eta: 15:09:44 time: 0.454 data_time: 0.012 memory: 6404 grad_norm: 4.7925 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5555 loss: 1.5555 2022/06/30 04:41:23 - mmengine - INFO - Epoch(train) [48][640/3757] lr: 1.000e-03 eta: 15:09:38 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 6.7154 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3503 loss: 1.3503 2022/06/30 04:41:29 - mmengine - INFO - Epoch(train) [48][660/3757] lr: 1.000e-03 eta: 15:09:33 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 6.2390 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4958 loss: 1.4958 2022/06/30 04:41:35 - mmengine - INFO - Epoch(train) [48][680/3757] lr: 1.000e-03 eta: 15:09:27 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.7253 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0920 loss: 1.0920 2022/06/30 04:41:40 - mmengine - INFO - Epoch(train) [48][700/3757] lr: 1.000e-03 eta: 15:09:22 time: 0.291 data_time: 0.010 memory: 6404 grad_norm: 5.3489 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6330 loss: 1.6330 2022/06/30 04:41:46 - mmengine - INFO - Epoch(train) [48][720/3757] lr: 1.000e-03 eta: 15:09:17 time: 0.238 data_time: 0.013 memory: 6404 grad_norm: 6.8999 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2610 loss: 1.2610 2022/06/30 04:41:51 - mmengine - INFO - Epoch(train) [48][740/3757] lr: 1.000e-03 eta: 15:09:11 time: 0.253 data_time: 0.017 memory: 6404 grad_norm: 5.9877 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8668 loss: 1.8668 2022/06/30 04:41:56 - mmengine - INFO - Epoch(train) [48][760/3757] lr: 1.000e-03 eta: 15:09:05 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.3605 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4270 loss: 1.4270 2022/06/30 04:42:01 - mmengine - INFO - Epoch(train) [48][780/3757] lr: 1.000e-03 eta: 15:08:59 time: 0.256 data_time: 0.018 memory: 6404 grad_norm: 5.7723 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0114 loss: 1.0114 2022/06/30 04:42:06 - mmengine - INFO - Epoch(train) [48][800/3757] lr: 1.000e-03 eta: 15:08:53 time: 0.258 data_time: 0.017 memory: 6404 grad_norm: 7.1052 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5276 loss: 1.5276 2022/06/30 04:42:12 - mmengine - INFO - Epoch(train) [48][820/3757] lr: 1.000e-03 eta: 15:08:48 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.9237 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4795 loss: 1.4795 2022/06/30 04:42:17 - mmengine - INFO - Epoch(train) [48][840/3757] lr: 1.000e-03 eta: 15:08:42 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 6.3257 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5069 loss: 1.5069 2022/06/30 04:42:23 - mmengine - INFO - Epoch(train) [48][860/3757] lr: 1.000e-03 eta: 15:08:37 time: 0.262 data_time: 0.018 memory: 6404 grad_norm: 7.5586 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3104 loss: 1.3104 2022/06/30 04:42:28 - mmengine - INFO - Epoch(train) [48][880/3757] lr: 1.000e-03 eta: 15:08:31 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.4963 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7531 loss: 1.7531 2022/06/30 04:42:34 - mmengine - INFO - Epoch(train) [48][900/3757] lr: 1.000e-03 eta: 15:08:25 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 6.2642 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3292 loss: 1.3292 2022/06/30 04:42:39 - mmengine - INFO - Epoch(train) [48][920/3757] lr: 1.000e-03 eta: 15:08:20 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 6.3718 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5190 loss: 1.5190 2022/06/30 04:42:45 - mmengine - INFO - Epoch(train) [48][940/3757] lr: 1.000e-03 eta: 15:08:14 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 7.3786 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9491 loss: 0.9491 2022/06/30 04:42:51 - mmengine - INFO - Epoch(train) [48][960/3757] lr: 1.000e-03 eta: 15:08:09 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.8405 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3529 loss: 1.3529 2022/06/30 04:42:56 - mmengine - INFO - Epoch(train) [48][980/3757] lr: 1.000e-03 eta: 15:08:04 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 7.0307 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2220 loss: 1.2220 2022/06/30 04:43:02 - mmengine - INFO - Epoch(train) [48][1000/3757] lr: 1.000e-03 eta: 15:07:59 time: 0.295 data_time: 0.006 memory: 6404 grad_norm: 6.4660 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4857 loss: 1.4857 2022/06/30 04:43:07 - mmengine - INFO - Epoch(train) [48][1020/3757] lr: 1.000e-03 eta: 15:07:53 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 5.8537 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2139 loss: 1.2139 2022/06/30 04:43:13 - mmengine - INFO - Epoch(train) [48][1040/3757] lr: 1.000e-03 eta: 15:07:47 time: 0.271 data_time: 0.012 memory: 6404 grad_norm: 7.0233 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7301 loss: 1.7301 2022/06/30 04:43:18 - mmengine - INFO - Epoch(train) [48][1060/3757] lr: 1.000e-03 eta: 15:07:41 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 8.0282 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3687 loss: 1.3687 2022/06/30 04:43:23 - mmengine - INFO - Epoch(train) [48][1080/3757] lr: 1.000e-03 eta: 15:07:35 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 6.9436 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0407 loss: 1.0407 2022/06/30 04:43:28 - mmengine - INFO - Epoch(train) [48][1100/3757] lr: 1.000e-03 eta: 15:07:29 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.8084 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2439 loss: 1.2439 2022/06/30 04:43:33 - mmengine - INFO - Epoch(train) [48][1120/3757] lr: 1.000e-03 eta: 15:07:24 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.9637 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2193 loss: 1.2193 2022/06/30 04:43:39 - mmengine - INFO - Epoch(train) [48][1140/3757] lr: 1.000e-03 eta: 15:07:19 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 5.7818 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2640 loss: 1.2640 2022/06/30 04:43:44 - mmengine - INFO - Epoch(train) [48][1160/3757] lr: 1.000e-03 eta: 15:07:13 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.6465 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0299 loss: 1.0299 2022/06/30 04:43:50 - mmengine - INFO - Epoch(train) [48][1180/3757] lr: 1.000e-03 eta: 15:07:07 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.6509 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3190 loss: 1.3190 2022/06/30 04:43:55 - mmengine - INFO - Epoch(train) [48][1200/3757] lr: 1.000e-03 eta: 15:07:02 time: 0.251 data_time: 0.014 memory: 6404 grad_norm: 6.7496 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3735 loss: 1.3735 2022/06/30 04:44:01 - mmengine - INFO - Epoch(train) [48][1220/3757] lr: 1.000e-03 eta: 15:06:56 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.6054 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4127 loss: 1.4127 2022/06/30 04:44:06 - mmengine - INFO - Epoch(train) [48][1240/3757] lr: 1.000e-03 eta: 15:06:50 time: 0.270 data_time: 0.011 memory: 6404 grad_norm: 6.1237 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4486 loss: 1.4486 2022/06/30 04:44:11 - mmengine - INFO - Epoch(train) [48][1260/3757] lr: 1.000e-03 eta: 15:06:45 time: 0.248 data_time: 0.017 memory: 6404 grad_norm: 6.9910 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4095 loss: 1.4095 2022/06/30 04:44:17 - mmengine - INFO - Epoch(train) [48][1280/3757] lr: 1.000e-03 eta: 15:06:39 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 6.1654 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5069 loss: 1.5069 2022/06/30 04:44:23 - mmengine - INFO - Epoch(train) [48][1300/3757] lr: 1.000e-03 eta: 15:06:34 time: 0.271 data_time: 0.007 memory: 6404 grad_norm: 5.5603 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2077 loss: 1.2077 2022/06/30 04:44:28 - mmengine - INFO - Epoch(train) [48][1320/3757] lr: 1.000e-03 eta: 15:06:28 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.1260 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3902 loss: 1.3902 2022/06/30 04:44:33 - mmengine - INFO - Epoch(train) [48][1340/3757] lr: 1.000e-03 eta: 15:06:22 time: 0.273 data_time: 0.008 memory: 6404 grad_norm: 7.0533 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3713 loss: 1.3713 2022/06/30 04:44:39 - mmengine - INFO - Epoch(train) [48][1360/3757] lr: 1.000e-03 eta: 15:06:17 time: 0.322 data_time: 0.009 memory: 6404 grad_norm: 5.9589 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4368 loss: 1.4368 2022/06/30 04:44:44 - mmengine - INFO - Epoch(train) [48][1380/3757] lr: 1.000e-03 eta: 15:06:12 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.5254 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5491 loss: 1.5491 2022/06/30 04:44:50 - mmengine - INFO - Epoch(train) [48][1400/3757] lr: 1.000e-03 eta: 15:06:06 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 6.1005 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2751 loss: 1.2751 2022/06/30 04:44:56 - mmengine - INFO - Epoch(train) [48][1420/3757] lr: 1.000e-03 eta: 15:06:01 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 5.2108 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5169 loss: 1.5169 2022/06/30 04:44:56 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 04:45:01 - mmengine - INFO - Epoch(train) [48][1440/3757] lr: 1.000e-03 eta: 15:05:55 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 6.3415 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4040 loss: 1.4040 2022/06/30 04:45:07 - mmengine - INFO - Epoch(train) [48][1460/3757] lr: 1.000e-03 eta: 15:05:50 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 7.5186 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1927 loss: 1.1927 2022/06/30 04:45:12 - mmengine - INFO - Epoch(train) [48][1480/3757] lr: 1.000e-03 eta: 15:05:45 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 6.6459 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4572 loss: 1.4572 2022/06/30 04:45:18 - mmengine - INFO - Epoch(train) [48][1500/3757] lr: 1.000e-03 eta: 15:05:39 time: 0.239 data_time: 0.008 memory: 6404 grad_norm: 6.7827 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1664 loss: 1.1664 2022/06/30 04:45:23 - mmengine - INFO - Epoch(train) [48][1520/3757] lr: 1.000e-03 eta: 15:05:33 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 6.6864 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5583 loss: 1.5583 2022/06/30 04:45:29 - mmengine - INFO - Epoch(train) [48][1540/3757] lr: 1.000e-03 eta: 15:05:28 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 6.3881 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1246 loss: 1.1246 2022/06/30 04:45:34 - mmengine - INFO - Epoch(train) [48][1560/3757] lr: 1.000e-03 eta: 15:05:22 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 6.6035 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4607 loss: 1.4607 2022/06/30 04:45:40 - mmengine - INFO - Epoch(train) [48][1580/3757] lr: 1.000e-03 eta: 15:05:17 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.7764 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.5524 loss: 1.5524 2022/06/30 04:45:45 - mmengine - INFO - Epoch(train) [48][1600/3757] lr: 1.000e-03 eta: 15:05:11 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.8190 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6033 loss: 1.6033 2022/06/30 04:45:50 - mmengine - INFO - Epoch(train) [48][1620/3757] lr: 1.000e-03 eta: 15:05:05 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.5178 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1612 loss: 1.1612 2022/06/30 04:45:55 - mmengine - INFO - Epoch(train) [48][1640/3757] lr: 1.000e-03 eta: 15:04:59 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 6.3656 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2871 loss: 1.2871 2022/06/30 04:46:01 - mmengine - INFO - Epoch(train) [48][1660/3757] lr: 1.000e-03 eta: 15:04:54 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.6489 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1734 loss: 1.1734 2022/06/30 04:46:06 - mmengine - INFO - Epoch(train) [48][1680/3757] lr: 1.000e-03 eta: 15:04:48 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.3771 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9691 loss: 0.9691 2022/06/30 04:46:12 - mmengine - INFO - Epoch(train) [48][1700/3757] lr: 1.000e-03 eta: 15:04:43 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.8769 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2152 loss: 1.2152 2022/06/30 04:46:17 - mmengine - INFO - Epoch(train) [48][1720/3757] lr: 1.000e-03 eta: 15:04:37 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 7.0378 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3926 loss: 1.3926 2022/06/30 04:46:23 - mmengine - INFO - Epoch(train) [48][1740/3757] lr: 1.000e-03 eta: 15:04:32 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.7249 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2337 loss: 1.2337 2022/06/30 04:46:28 - mmengine - INFO - Epoch(train) [48][1760/3757] lr: 1.000e-03 eta: 15:04:26 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.9558 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3143 loss: 1.3143 2022/06/30 04:46:33 - mmengine - INFO - Epoch(train) [48][1780/3757] lr: 1.000e-03 eta: 15:04:20 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 5.3949 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2562 loss: 1.2562 2022/06/30 04:46:39 - mmengine - INFO - Epoch(train) [48][1800/3757] lr: 1.000e-03 eta: 15:04:15 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 6.3917 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4193 loss: 1.4193 2022/06/30 04:46:45 - mmengine - INFO - Epoch(train) [48][1820/3757] lr: 1.000e-03 eta: 15:04:09 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 5.6943 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0104 loss: 2.0104 2022/06/30 04:46:50 - mmengine - INFO - Epoch(train) [48][1840/3757] lr: 1.000e-03 eta: 15:04:04 time: 0.257 data_time: 0.020 memory: 6404 grad_norm: 5.6480 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8506 loss: 1.8506 2022/06/30 04:46:56 - mmengine - INFO - Epoch(train) [48][1860/3757] lr: 1.000e-03 eta: 15:03:58 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.6248 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8936 loss: 0.8936 2022/06/30 04:47:01 - mmengine - INFO - Epoch(train) [48][1880/3757] lr: 1.000e-03 eta: 15:03:52 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 7.3626 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6243 loss: 1.6243 2022/06/30 04:47:07 - mmengine - INFO - Epoch(train) [48][1900/3757] lr: 1.000e-03 eta: 15:03:48 time: 0.250 data_time: 0.019 memory: 6404 grad_norm: 5.9083 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3009 loss: 1.3009 2022/06/30 04:47:12 - mmengine - INFO - Epoch(train) [48][1920/3757] lr: 1.000e-03 eta: 15:03:42 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 6.1885 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2527 loss: 1.2527 2022/06/30 04:47:18 - mmengine - INFO - Epoch(train) [48][1940/3757] lr: 1.000e-03 eta: 15:03:36 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 6.3853 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6375 loss: 1.6375 2022/06/30 04:47:23 - mmengine - INFO - Epoch(train) [48][1960/3757] lr: 1.000e-03 eta: 15:03:31 time: 0.256 data_time: 0.015 memory: 6404 grad_norm: 5.9800 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1943 loss: 1.1943 2022/06/30 04:47:28 - mmengine - INFO - Epoch(train) [48][1980/3757] lr: 1.000e-03 eta: 15:03:25 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 7.0856 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2445 loss: 1.2445 2022/06/30 04:47:34 - mmengine - INFO - Epoch(train) [48][2000/3757] lr: 1.000e-03 eta: 15:03:19 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 7.2767 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7296 loss: 1.7296 2022/06/30 04:47:40 - mmengine - INFO - Epoch(train) [48][2020/3757] lr: 1.000e-03 eta: 15:03:14 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 6.5027 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1519 loss: 1.1519 2022/06/30 04:47:45 - mmengine - INFO - Epoch(train) [48][2040/3757] lr: 1.000e-03 eta: 15:03:08 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 5.3233 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4387 loss: 1.4387 2022/06/30 04:47:51 - mmengine - INFO - Epoch(train) [48][2060/3757] lr: 1.000e-03 eta: 15:03:03 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 6.4977 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5376 loss: 1.5376 2022/06/30 04:47:56 - mmengine - INFO - Epoch(train) [48][2080/3757] lr: 1.000e-03 eta: 15:02:57 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.7025 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3726 loss: 1.3726 2022/06/30 04:48:01 - mmengine - INFO - Epoch(train) [48][2100/3757] lr: 1.000e-03 eta: 15:02:51 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 6.1008 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5032 loss: 1.5032 2022/06/30 04:48:06 - mmengine - INFO - Epoch(train) [48][2120/3757] lr: 1.000e-03 eta: 15:02:46 time: 0.240 data_time: 0.011 memory: 6404 grad_norm: 7.5286 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4089 loss: 1.4089 2022/06/30 04:48:12 - mmengine - INFO - Epoch(train) [48][2140/3757] lr: 1.000e-03 eta: 15:02:40 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 6.4322 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8217 loss: 1.8217 2022/06/30 04:48:17 - mmengine - INFO - Epoch(train) [48][2160/3757] lr: 1.000e-03 eta: 15:02:35 time: 0.297 data_time: 0.007 memory: 6404 grad_norm: 6.4266 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6025 loss: 1.6025 2022/06/30 04:48:23 - mmengine - INFO - Epoch(train) [48][2180/3757] lr: 1.000e-03 eta: 15:02:29 time: 0.296 data_time: 0.013 memory: 6404 grad_norm: 5.2147 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4652 loss: 1.4652 2022/06/30 04:48:28 - mmengine - INFO - Epoch(train) [48][2200/3757] lr: 1.000e-03 eta: 15:02:23 time: 0.261 data_time: 0.015 memory: 6404 grad_norm: 5.7596 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9093 loss: 0.9093 2022/06/30 04:48:33 - mmengine - INFO - Epoch(train) [48][2220/3757] lr: 1.000e-03 eta: 15:02:18 time: 0.263 data_time: 0.019 memory: 6404 grad_norm: 6.1282 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1178 loss: 1.1178 2022/06/30 04:48:39 - mmengine - INFO - Epoch(train) [48][2240/3757] lr: 1.000e-03 eta: 15:02:12 time: 0.254 data_time: 0.017 memory: 6404 grad_norm: 6.6050 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0217 loss: 1.0217 2022/06/30 04:48:44 - mmengine - INFO - Epoch(train) [48][2260/3757] lr: 1.000e-03 eta: 15:02:07 time: 0.251 data_time: 0.021 memory: 6404 grad_norm: 6.4131 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0457 loss: 1.0457 2022/06/30 04:48:50 - mmengine - INFO - Epoch(train) [48][2280/3757] lr: 1.000e-03 eta: 15:02:01 time: 0.286 data_time: 0.007 memory: 6404 grad_norm: 7.2287 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2512 loss: 1.2512 2022/06/30 04:48:56 - mmengine - INFO - Epoch(train) [48][2300/3757] lr: 1.000e-03 eta: 15:01:56 time: 0.246 data_time: 0.023 memory: 6404 grad_norm: 5.3832 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4242 loss: 1.4242 2022/06/30 04:49:01 - mmengine - INFO - Epoch(train) [48][2320/3757] lr: 1.000e-03 eta: 15:01:50 time: 0.256 data_time: 0.025 memory: 6404 grad_norm: 6.9520 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6929 loss: 1.6929 2022/06/30 04:49:06 - mmengine - INFO - Epoch(train) [48][2340/3757] lr: 1.000e-03 eta: 15:01:45 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 5.1740 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5298 loss: 1.5298 2022/06/30 04:49:12 - mmengine - INFO - Epoch(train) [48][2360/3757] lr: 1.000e-03 eta: 15:01:39 time: 0.252 data_time: 0.028 memory: 6404 grad_norm: 6.0361 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4859 loss: 1.4859 2022/06/30 04:49:17 - mmengine - INFO - Epoch(train) [48][2380/3757] lr: 1.000e-03 eta: 15:01:34 time: 0.261 data_time: 0.028 memory: 6404 grad_norm: 6.8213 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9582 loss: 0.9582 2022/06/30 04:49:23 - mmengine - INFO - Epoch(train) [48][2400/3757] lr: 1.000e-03 eta: 15:01:28 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 5.3812 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2015 loss: 1.2015 2022/06/30 04:49:28 - mmengine - INFO - Epoch(train) [48][2420/3757] lr: 1.000e-03 eta: 15:01:22 time: 0.247 data_time: 0.029 memory: 6404 grad_norm: 6.7206 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4384 loss: 1.4384 2022/06/30 04:49:28 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 04:49:34 - mmengine - INFO - Epoch(train) [48][2440/3757] lr: 1.000e-03 eta: 15:01:17 time: 0.245 data_time: 0.014 memory: 6404 grad_norm: 5.1623 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5287 loss: 1.5287 2022/06/30 04:49:39 - mmengine - INFO - Epoch(train) [48][2460/3757] lr: 1.000e-03 eta: 15:01:11 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 7.5207 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4447 loss: 1.4447 2022/06/30 04:49:44 - mmengine - INFO - Epoch(train) [48][2480/3757] lr: 1.000e-03 eta: 15:01:06 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.7831 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5769 loss: 1.5769 2022/06/30 04:49:50 - mmengine - INFO - Epoch(train) [48][2500/3757] lr: 1.000e-03 eta: 15:01:00 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.8853 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4678 loss: 1.4678 2022/06/30 04:49:55 - mmengine - INFO - Epoch(train) [48][2520/3757] lr: 1.000e-03 eta: 15:00:55 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.2398 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6675 loss: 1.6675 2022/06/30 04:50:01 - mmengine - INFO - Epoch(train) [48][2540/3757] lr: 1.000e-03 eta: 15:00:50 time: 0.279 data_time: 0.014 memory: 6404 grad_norm: 6.0430 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1336 loss: 1.1336 2022/06/30 04:50:07 - mmengine - INFO - Epoch(train) [48][2560/3757] lr: 1.000e-03 eta: 15:00:44 time: 0.269 data_time: 0.006 memory: 6404 grad_norm: 6.3390 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3155 loss: 1.3155 2022/06/30 04:50:12 - mmengine - INFO - Epoch(train) [48][2580/3757] lr: 1.000e-03 eta: 15:00:38 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 6.3541 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0854 loss: 1.0854 2022/06/30 04:50:17 - mmengine - INFO - Epoch(train) [48][2600/3757] lr: 1.000e-03 eta: 15:00:33 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.2349 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2338 loss: 1.2338 2022/06/30 04:50:23 - mmengine - INFO - Epoch(train) [48][2620/3757] lr: 1.000e-03 eta: 15:00:27 time: 0.259 data_time: 0.015 memory: 6404 grad_norm: 7.4829 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4167 loss: 1.4167 2022/06/30 04:50:28 - mmengine - INFO - Epoch(train) [48][2640/3757] lr: 1.000e-03 eta: 15:00:21 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 6.7718 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3227 loss: 1.3227 2022/06/30 04:50:34 - mmengine - INFO - Epoch(train) [48][2660/3757] lr: 1.000e-03 eta: 15:00:16 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 7.4432 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2515 loss: 1.2515 2022/06/30 04:50:39 - mmengine - INFO - Epoch(train) [48][2680/3757] lr: 1.000e-03 eta: 15:00:10 time: 0.247 data_time: 0.016 memory: 6404 grad_norm: 5.7553 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3962 loss: 1.3962 2022/06/30 04:50:45 - mmengine - INFO - Epoch(train) [48][2700/3757] lr: 1.000e-03 eta: 15:00:05 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 6.3251 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8921 loss: 1.8921 2022/06/30 04:50:51 - mmengine - INFO - Epoch(train) [48][2720/3757] lr: 1.000e-03 eta: 15:00:00 time: 0.282 data_time: 0.011 memory: 6404 grad_norm: 7.4229 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2504 loss: 1.2504 2022/06/30 04:50:56 - mmengine - INFO - Epoch(train) [48][2740/3757] lr: 1.000e-03 eta: 14:59:54 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 5.9192 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3492 loss: 1.3492 2022/06/30 04:51:01 - mmengine - INFO - Epoch(train) [48][2760/3757] lr: 1.000e-03 eta: 14:59:48 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 5.8457 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1830 loss: 1.1830 2022/06/30 04:51:06 - mmengine - INFO - Epoch(train) [48][2780/3757] lr: 1.000e-03 eta: 14:59:42 time: 0.245 data_time: 0.016 memory: 6404 grad_norm: 5.6158 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2507 loss: 1.2507 2022/06/30 04:51:12 - mmengine - INFO - Epoch(train) [48][2800/3757] lr: 1.000e-03 eta: 14:59:37 time: 0.252 data_time: 0.027 memory: 6404 grad_norm: 5.8346 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1824 loss: 1.1824 2022/06/30 04:51:17 - mmengine - INFO - Epoch(train) [48][2820/3757] lr: 1.000e-03 eta: 14:59:31 time: 0.271 data_time: 0.007 memory: 6404 grad_norm: 6.5312 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1326 loss: 1.1326 2022/06/30 04:51:22 - mmengine - INFO - Epoch(train) [48][2840/3757] lr: 1.000e-03 eta: 14:59:25 time: 0.419 data_time: 0.007 memory: 6404 grad_norm: 5.5903 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3388 loss: 1.3388 2022/06/30 04:51:28 - mmengine - INFO - Epoch(train) [48][2860/3757] lr: 1.000e-03 eta: 14:59:19 time: 0.258 data_time: 0.018 memory: 6404 grad_norm: 6.0522 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2402 loss: 1.2402 2022/06/30 04:51:33 - mmengine - INFO - Epoch(train) [48][2880/3757] lr: 1.000e-03 eta: 14:59:14 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.4158 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3917 loss: 1.3917 2022/06/30 04:51:39 - mmengine - INFO - Epoch(train) [48][2900/3757] lr: 1.000e-03 eta: 14:59:09 time: 0.318 data_time: 0.008 memory: 6404 grad_norm: 6.6919 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2920 loss: 1.2920 2022/06/30 04:51:45 - mmengine - INFO - Epoch(train) [48][2920/3757] lr: 1.000e-03 eta: 14:59:03 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 7.3512 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1743 loss: 1.1743 2022/06/30 04:51:50 - mmengine - INFO - Epoch(train) [48][2940/3757] lr: 1.000e-03 eta: 14:58:58 time: 0.257 data_time: 0.015 memory: 6404 grad_norm: 5.7666 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0487 loss: 1.0487 2022/06/30 04:51:55 - mmengine - INFO - Epoch(train) [48][2960/3757] lr: 1.000e-03 eta: 14:58:52 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.9256 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4036 loss: 1.4036 2022/06/30 04:52:01 - mmengine - INFO - Epoch(train) [48][2980/3757] lr: 1.000e-03 eta: 14:58:47 time: 0.254 data_time: 0.017 memory: 6404 grad_norm: 5.1814 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3547 loss: 1.3547 2022/06/30 04:52:06 - mmengine - INFO - Epoch(train) [48][3000/3757] lr: 1.000e-03 eta: 14:58:41 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.9505 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5394 loss: 1.5394 2022/06/30 04:52:13 - mmengine - INFO - Epoch(train) [48][3020/3757] lr: 1.000e-03 eta: 14:58:36 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.8168 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5602 loss: 1.5602 2022/06/30 04:52:18 - mmengine - INFO - Epoch(train) [48][3040/3757] lr: 1.000e-03 eta: 14:58:30 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 6.8481 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2638 loss: 1.2638 2022/06/30 04:52:23 - mmengine - INFO - Epoch(train) [48][3060/3757] lr: 1.000e-03 eta: 14:58:25 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 6.7537 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1700 loss: 1.1700 2022/06/30 04:52:28 - mmengine - INFO - Epoch(train) [48][3080/3757] lr: 1.000e-03 eta: 14:58:19 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 6.6758 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8221 loss: 0.8221 2022/06/30 04:52:34 - mmengine - INFO - Epoch(train) [48][3100/3757] lr: 1.000e-03 eta: 14:58:14 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 6.7269 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4905 loss: 1.4905 2022/06/30 04:52:40 - mmengine - INFO - Epoch(train) [48][3120/3757] lr: 1.000e-03 eta: 14:58:08 time: 0.423 data_time: 0.169 memory: 6404 grad_norm: 6.0395 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6055 loss: 1.6055 2022/06/30 04:52:45 - mmengine - INFO - Epoch(train) [48][3140/3757] lr: 1.000e-03 eta: 14:58:03 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.3144 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9860 loss: 0.9860 2022/06/30 04:52:50 - mmengine - INFO - Epoch(train) [48][3160/3757] lr: 1.000e-03 eta: 14:57:57 time: 0.254 data_time: 0.020 memory: 6404 grad_norm: 5.6799 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0758 loss: 1.0758 2022/06/30 04:52:56 - mmengine - INFO - Epoch(train) [48][3180/3757] lr: 1.000e-03 eta: 14:57:51 time: 0.247 data_time: 0.024 memory: 6404 grad_norm: 7.0071 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6770 loss: 1.6770 2022/06/30 04:53:01 - mmengine - INFO - Epoch(train) [48][3200/3757] lr: 1.000e-03 eta: 14:57:46 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 6.7121 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3174 loss: 1.3174 2022/06/30 04:53:06 - mmengine - INFO - Epoch(train) [48][3220/3757] lr: 1.000e-03 eta: 14:57:40 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 6.7770 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9979 loss: 0.9979 2022/06/30 04:53:12 - mmengine - INFO - Epoch(train) [48][3240/3757] lr: 1.000e-03 eta: 14:57:35 time: 0.261 data_time: 0.042 memory: 6404 grad_norm: 6.0052 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5225 loss: 1.5225 2022/06/30 04:53:17 - mmengine - INFO - Epoch(train) [48][3260/3757] lr: 1.000e-03 eta: 14:57:29 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 5.3731 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9037 loss: 0.9037 2022/06/30 04:53:23 - mmengine - INFO - Epoch(train) [48][3280/3757] lr: 1.000e-03 eta: 14:57:23 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.0224 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1685 loss: 1.1685 2022/06/30 04:53:28 - mmengine - INFO - Epoch(train) [48][3300/3757] lr: 1.000e-03 eta: 14:57:18 time: 0.267 data_time: 0.031 memory: 6404 grad_norm: 5.9533 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3781 loss: 1.3781 2022/06/30 04:53:34 - mmengine - INFO - Epoch(train) [48][3320/3757] lr: 1.000e-03 eta: 14:57:12 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 6.3492 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6327 loss: 1.6327 2022/06/30 04:53:40 - mmengine - INFO - Epoch(train) [48][3340/3757] lr: 1.000e-03 eta: 14:57:07 time: 0.559 data_time: 0.008 memory: 6404 grad_norm: 6.2388 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6506 loss: 1.6506 2022/06/30 04:53:45 - mmengine - INFO - Epoch(train) [48][3360/3757] lr: 1.000e-03 eta: 14:57:01 time: 0.270 data_time: 0.032 memory: 6404 grad_norm: 6.4586 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3934 loss: 1.3934 2022/06/30 04:53:50 - mmengine - INFO - Epoch(train) [48][3380/3757] lr: 1.000e-03 eta: 14:56:56 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 6.0989 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1683 loss: 1.1683 2022/06/30 04:53:56 - mmengine - INFO - Epoch(train) [48][3400/3757] lr: 1.000e-03 eta: 14:56:50 time: 0.294 data_time: 0.007 memory: 6404 grad_norm: 6.8782 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9714 loss: 0.9714 2022/06/30 04:54:02 - mmengine - INFO - Epoch(train) [48][3420/3757] lr: 1.000e-03 eta: 14:56:45 time: 0.413 data_time: 0.013 memory: 6404 grad_norm: 6.5496 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2495 loss: 1.2495 2022/06/30 04:54:02 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 04:54:07 - mmengine - INFO - Epoch(train) [48][3440/3757] lr: 1.000e-03 eta: 14:56:40 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 5.4154 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2089 loss: 1.2089 2022/06/30 04:54:12 - mmengine - INFO - Epoch(train) [48][3460/3757] lr: 1.000e-03 eta: 14:56:34 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 6.6339 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0916 loss: 1.0916 2022/06/30 04:54:18 - mmengine - INFO - Epoch(train) [48][3480/3757] lr: 1.000e-03 eta: 14:56:28 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 6.5224 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6241 loss: 1.6241 2022/06/30 04:54:24 - mmengine - INFO - Epoch(train) [48][3500/3757] lr: 1.000e-03 eta: 14:56:23 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 6.6416 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0416 loss: 1.0416 2022/06/30 04:54:29 - mmengine - INFO - Epoch(train) [48][3520/3757] lr: 1.000e-03 eta: 14:56:17 time: 0.279 data_time: 0.006 memory: 6404 grad_norm: 6.6101 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5808 loss: 1.5808 2022/06/30 04:54:35 - mmengine - INFO - Epoch(train) [48][3540/3757] lr: 1.000e-03 eta: 14:56:12 time: 0.290 data_time: 0.024 memory: 6404 grad_norm: 5.1679 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4409 loss: 1.4409 2022/06/30 04:54:40 - mmengine - INFO - Epoch(train) [48][3560/3757] lr: 1.000e-03 eta: 14:56:07 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 7.1643 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3498 loss: 1.3498 2022/06/30 04:54:46 - mmengine - INFO - Epoch(train) [48][3580/3757] lr: 1.000e-03 eta: 14:56:01 time: 0.437 data_time: 0.007 memory: 6404 grad_norm: 6.9947 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1138 loss: 1.1138 2022/06/30 04:54:51 - mmengine - INFO - Epoch(train) [48][3600/3757] lr: 1.000e-03 eta: 14:55:55 time: 0.305 data_time: 0.023 memory: 6404 grad_norm: 6.4117 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4125 loss: 1.4125 2022/06/30 04:54:57 - mmengine - INFO - Epoch(train) [48][3620/3757] lr: 1.000e-03 eta: 14:55:50 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 6.4817 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3001 loss: 2.3001 2022/06/30 04:55:02 - mmengine - INFO - Epoch(train) [48][3640/3757] lr: 1.000e-03 eta: 14:55:44 time: 0.279 data_time: 0.006 memory: 6404 grad_norm: 6.6815 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0777 loss: 1.0777 2022/06/30 04:55:08 - mmengine - INFO - Epoch(train) [48][3660/3757] lr: 1.000e-03 eta: 14:55:39 time: 0.279 data_time: 0.017 memory: 6404 grad_norm: 5.4427 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3869 loss: 1.3869 2022/06/30 04:55:13 - mmengine - INFO - Epoch(train) [48][3680/3757] lr: 1.000e-03 eta: 14:55:34 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.7569 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4429 loss: 1.4429 2022/06/30 04:55:19 - mmengine - INFO - Epoch(train) [48][3700/3757] lr: 1.000e-03 eta: 14:55:29 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 6.5531 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3514 loss: 1.3514 2022/06/30 04:55:25 - mmengine - INFO - Epoch(train) [48][3720/3757] lr: 1.000e-03 eta: 14:55:23 time: 0.286 data_time: 0.015 memory: 6404 grad_norm: 7.7247 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3237 loss: 1.3237 2022/06/30 04:55:30 - mmengine - INFO - Epoch(train) [48][3740/3757] lr: 1.000e-03 eta: 14:55:17 time: 0.311 data_time: 0.008 memory: 6404 grad_norm: 6.5766 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.3764 loss: 1.3764 2022/06/30 04:55:34 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 04:55:41 - mmengine - INFO - Epoch(val) [48][20/310] eta: 0:01:35 time: 0.097 data_time: 0.012 memory: 6404 2022/06/30 04:55:48 - mmengine - INFO - Epoch(val) [48][40/310] eta: 0:01:28 time: 0.644 data_time: 0.562 memory: 1479 2022/06/30 04:55:51 - mmengine - INFO - Epoch(val) [48][60/310] eta: 0:00:33 time: 0.087 data_time: 0.007 memory: 1479 2022/06/30 04:55:58 - mmengine - INFO - Epoch(val) [48][80/310] eta: 0:01:15 time: 0.093 data_time: 0.012 memory: 1479 2022/06/30 04:56:04 - mmengine - INFO - Epoch(val) [48][100/310] eta: 0:01:01 time: 1.351 data_time: 1.268 memory: 1479 2022/06/30 04:56:08 - mmengine - INFO - Epoch(val) [48][120/310] eta: 0:00:43 time: 0.081 data_time: 0.006 memory: 1479 2022/06/30 04:56:14 - mmengine - INFO - Epoch(val) [48][140/310] eta: 0:00:52 time: 0.086 data_time: 0.007 memory: 1479 2022/06/30 04:56:21 - mmengine - INFO - Epoch(val) [48][160/310] eta: 0:00:52 time: 2.769 data_time: 2.687 memory: 1479 2022/06/30 04:56:25 - mmengine - INFO - Epoch(val) [48][180/310] eta: 0:00:44 time: 0.081 data_time: 0.007 memory: 1479 2022/06/30 04:56:31 - mmengine - INFO - Epoch(val) [48][200/310] eta: 0:00:33 time: 0.084 data_time: 0.008 memory: 1479 2022/06/30 04:56:36 - mmengine - INFO - Epoch(val) [48][220/310] eta: 0:00:26 time: 2.138 data_time: 2.057 memory: 1479 2022/06/30 04:56:40 - mmengine - INFO - Epoch(val) [48][240/310] eta: 0:00:19 time: 0.077 data_time: 0.005 memory: 1479 2022/06/30 04:56:46 - mmengine - INFO - Epoch(val) [48][260/310] eta: 0:00:15 time: 0.093 data_time: 0.007 memory: 1479 2022/06/30 04:56:52 - mmengine - INFO - Epoch(val) [48][280/310] eta: 0:00:09 time: 2.017 data_time: 1.936 memory: 1479 2022/06/30 04:56:56 - mmengine - INFO - Epoch(val) [48][300/310] eta: 0:00:02 time: 0.080 data_time: 0.005 memory: 1479 2022/06/30 04:56:58 - mmengine - INFO - Epoch(val) [48][310/310] acc/top1: 0.6601 acc/top5: 0.8640 acc/mean1: 0.6600 2022/06/30 04:57:07 - mmengine - INFO - Epoch(train) [49][20/3757] lr: 1.000e-03 eta: 14:55:08 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 6.2523 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3520 loss: 1.3520 2022/06/30 04:57:13 - mmengine - INFO - Epoch(train) [49][40/3757] lr: 1.000e-03 eta: 14:55:03 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.7511 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6794 loss: 1.6794 2022/06/30 04:57:19 - mmengine - INFO - Epoch(train) [49][60/3757] lr: 1.000e-03 eta: 14:54:58 time: 0.270 data_time: 0.008 memory: 6404 grad_norm: 6.1337 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9929 loss: 0.9929 2022/06/30 04:57:24 - mmengine - INFO - Epoch(train) [49][80/3757] lr: 1.000e-03 eta: 14:54:52 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 6.2781 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8590 loss: 0.8590 2022/06/30 04:57:30 - mmengine - INFO - Epoch(train) [49][100/3757] lr: 1.000e-03 eta: 14:54:47 time: 0.241 data_time: 0.023 memory: 6404 grad_norm: 6.5550 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7708 loss: 0.7708 2022/06/30 04:57:35 - mmengine - INFO - Epoch(train) [49][120/3757] lr: 1.000e-03 eta: 14:54:42 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 7.1393 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0249 loss: 1.0249 2022/06/30 04:57:41 - mmengine - INFO - Epoch(train) [49][140/3757] lr: 1.000e-03 eta: 14:54:36 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 7.2316 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6232 loss: 1.6232 2022/06/30 04:57:46 - mmengine - INFO - Epoch(train) [49][160/3757] lr: 1.000e-03 eta: 14:54:31 time: 0.252 data_time: 0.061 memory: 6404 grad_norm: 5.7652 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5885 loss: 1.5885 2022/06/30 04:57:52 - mmengine - INFO - Epoch(train) [49][180/3757] lr: 1.000e-03 eta: 14:54:25 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 6.7606 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0856 loss: 1.0856 2022/06/30 04:57:57 - mmengine - INFO - Epoch(train) [49][200/3757] lr: 1.000e-03 eta: 14:54:19 time: 0.244 data_time: 0.012 memory: 6404 grad_norm: 6.1208 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3706 loss: 1.3706 2022/06/30 04:58:03 - mmengine - INFO - Epoch(train) [49][220/3757] lr: 1.000e-03 eta: 14:54:14 time: 0.240 data_time: 0.042 memory: 6404 grad_norm: 6.6285 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3416 loss: 1.3416 2022/06/30 04:58:08 - mmengine - INFO - Epoch(train) [49][240/3757] lr: 1.000e-03 eta: 14:54:08 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.2960 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4098 loss: 1.4098 2022/06/30 04:58:14 - mmengine - INFO - Epoch(train) [49][260/3757] lr: 1.000e-03 eta: 14:54:03 time: 0.246 data_time: 0.012 memory: 6404 grad_norm: 5.9708 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3748 loss: 1.3748 2022/06/30 04:58:19 - mmengine - INFO - Epoch(train) [49][280/3757] lr: 1.000e-03 eta: 14:53:57 time: 0.244 data_time: 0.015 memory: 6404 grad_norm: 5.4351 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5364 loss: 1.5364 2022/06/30 04:58:25 - mmengine - INFO - Epoch(train) [49][300/3757] lr: 1.000e-03 eta: 14:53:52 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 7.1347 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3049 loss: 1.3049 2022/06/30 04:58:31 - mmengine - INFO - Epoch(train) [49][320/3757] lr: 1.000e-03 eta: 14:53:47 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 7.0029 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3503 loss: 1.3503 2022/06/30 04:58:36 - mmengine - INFO - Epoch(train) [49][340/3757] lr: 1.000e-03 eta: 14:53:41 time: 0.249 data_time: 0.036 memory: 6404 grad_norm: 6.6303 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8985 loss: 0.8985 2022/06/30 04:58:41 - mmengine - INFO - Epoch(train) [49][360/3757] lr: 1.000e-03 eta: 14:53:35 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 5.6637 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9054 loss: 0.9054 2022/06/30 04:58:46 - mmengine - INFO - Epoch(train) [49][380/3757] lr: 1.000e-03 eta: 14:53:29 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.1513 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2371 loss: 1.2371 2022/06/30 04:58:52 - mmengine - INFO - Epoch(train) [49][400/3757] lr: 1.000e-03 eta: 14:53:24 time: 0.253 data_time: 0.033 memory: 6404 grad_norm: 5.0942 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3450 loss: 1.3450 2022/06/30 04:58:58 - mmengine - INFO - Epoch(train) [49][420/3757] lr: 1.000e-03 eta: 14:53:19 time: 0.247 data_time: 0.016 memory: 6404 grad_norm: 6.3199 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4289 loss: 1.4289 2022/06/30 04:59:03 - mmengine - INFO - Epoch(train) [49][440/3757] lr: 1.000e-03 eta: 14:53:13 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.6561 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6480 loss: 1.6480 2022/06/30 04:59:09 - mmengine - INFO - Epoch(train) [49][460/3757] lr: 1.000e-03 eta: 14:53:08 time: 0.551 data_time: 0.362 memory: 6404 grad_norm: 6.6416 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1461 loss: 1.1461 2022/06/30 04:59:14 - mmengine - INFO - Epoch(train) [49][480/3757] lr: 1.000e-03 eta: 14:53:02 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 6.9370 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3555 loss: 1.3555 2022/06/30 04:59:20 - mmengine - INFO - Epoch(train) [49][500/3757] lr: 1.000e-03 eta: 14:52:57 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 5.6622 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4162 loss: 1.4162 2022/06/30 04:59:26 - mmengine - INFO - Epoch(train) [49][520/3757] lr: 1.000e-03 eta: 14:52:52 time: 0.827 data_time: 0.643 memory: 6404 grad_norm: 5.8484 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3079 loss: 1.3079 2022/06/30 04:59:32 - mmengine - INFO - Epoch(train) [49][540/3757] lr: 1.000e-03 eta: 14:52:47 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 5.4068 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1386 loss: 1.1386 2022/06/30 04:59:37 - mmengine - INFO - Epoch(train) [49][560/3757] lr: 1.000e-03 eta: 14:52:41 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.5887 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3349 loss: 1.3349 2022/06/30 04:59:42 - mmengine - INFO - Epoch(train) [49][580/3757] lr: 1.000e-03 eta: 14:52:35 time: 0.278 data_time: 0.081 memory: 6404 grad_norm: 6.0579 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3285 loss: 1.3285 2022/06/30 04:59:47 - mmengine - INFO - Epoch(train) [49][600/3757] lr: 1.000e-03 eta: 14:52:29 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.4422 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1002 loss: 1.1002 2022/06/30 04:59:53 - mmengine - INFO - Epoch(train) [49][620/3757] lr: 1.000e-03 eta: 14:52:23 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 6.5615 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2357 loss: 1.2357 2022/06/30 04:59:58 - mmengine - INFO - Epoch(train) [49][640/3757] lr: 1.000e-03 eta: 14:52:18 time: 0.418 data_time: 0.231 memory: 6404 grad_norm: 6.3512 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5167 loss: 1.5167 2022/06/30 05:00:03 - mmengine - INFO - Epoch(train) [49][660/3757] lr: 1.000e-03 eta: 14:52:12 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 6.6580 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3234 loss: 1.3234 2022/06/30 05:00:05 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 05:00:09 - mmengine - INFO - Epoch(train) [49][680/3757] lr: 1.000e-03 eta: 14:52:07 time: 0.280 data_time: 0.007 memory: 6404 grad_norm: 7.2915 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2426 loss: 1.2426 2022/06/30 05:00:15 - mmengine - INFO - Epoch(train) [49][700/3757] lr: 1.000e-03 eta: 14:52:01 time: 0.261 data_time: 0.059 memory: 6404 grad_norm: 5.4253 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3389 loss: 1.3389 2022/06/30 05:00:20 - mmengine - INFO - Epoch(train) [49][720/3757] lr: 1.000e-03 eta: 14:51:56 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 6.6454 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3247 loss: 1.3247 2022/06/30 05:00:26 - mmengine - INFO - Epoch(train) [49][740/3757] lr: 1.000e-03 eta: 14:51:51 time: 0.268 data_time: 0.011 memory: 6404 grad_norm: 7.3460 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0030 loss: 1.0030 2022/06/30 05:00:31 - mmengine - INFO - Epoch(train) [49][760/3757] lr: 1.000e-03 eta: 14:51:45 time: 0.258 data_time: 0.027 memory: 6404 grad_norm: 8.0231 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1123 loss: 1.1123 2022/06/30 05:00:37 - mmengine - INFO - Epoch(train) [49][780/3757] lr: 1.000e-03 eta: 14:51:39 time: 0.253 data_time: 0.016 memory: 6404 grad_norm: 6.3062 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1220 loss: 1.1220 2022/06/30 05:00:43 - mmengine - INFO - Epoch(train) [49][800/3757] lr: 1.000e-03 eta: 14:51:34 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 6.0048 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4287 loss: 1.4287 2022/06/30 05:00:48 - mmengine - INFO - Epoch(train) [49][820/3757] lr: 1.000e-03 eta: 14:51:29 time: 0.272 data_time: 0.069 memory: 6404 grad_norm: 7.8115 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1972 loss: 1.1972 2022/06/30 05:00:54 - mmengine - INFO - Epoch(train) [49][840/3757] lr: 1.000e-03 eta: 14:51:23 time: 0.249 data_time: 0.021 memory: 6404 grad_norm: 6.4140 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0179 loss: 1.0179 2022/06/30 05:00:59 - mmengine - INFO - Epoch(train) [49][860/3757] lr: 1.000e-03 eta: 14:51:18 time: 0.272 data_time: 0.006 memory: 6404 grad_norm: 6.7773 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6435 loss: 1.6435 2022/06/30 05:01:05 - mmengine - INFO - Epoch(train) [49][880/3757] lr: 1.000e-03 eta: 14:51:13 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 6.2885 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0249 loss: 2.0249 2022/06/30 05:01:11 - mmengine - INFO - Epoch(train) [49][900/3757] lr: 1.000e-03 eta: 14:51:07 time: 0.255 data_time: 0.052 memory: 6404 grad_norm: 6.1498 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1999 loss: 1.1999 2022/06/30 05:01:16 - mmengine - INFO - Epoch(train) [49][920/3757] lr: 1.000e-03 eta: 14:51:01 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 6.2910 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2540 loss: 1.2540 2022/06/30 05:01:22 - mmengine - INFO - Epoch(train) [49][940/3757] lr: 1.000e-03 eta: 14:50:56 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 6.4700 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6611 loss: 1.6611 2022/06/30 05:01:27 - mmengine - INFO - Epoch(train) [49][960/3757] lr: 1.000e-03 eta: 14:50:51 time: 0.243 data_time: 0.018 memory: 6404 grad_norm: 6.3310 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1644 loss: 1.1644 2022/06/30 05:01:32 - mmengine - INFO - Epoch(train) [49][980/3757] lr: 1.000e-03 eta: 14:50:45 time: 0.250 data_time: 0.014 memory: 6404 grad_norm: 7.3260 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7439 loss: 1.7439 2022/06/30 05:01:38 - mmengine - INFO - Epoch(train) [49][1000/3757] lr: 1.000e-03 eta: 14:50:40 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 6.4569 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5401 loss: 1.5401 2022/06/30 05:01:43 - mmengine - INFO - Epoch(train) [49][1020/3757] lr: 1.000e-03 eta: 14:50:34 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.3207 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1401 loss: 1.1401 2022/06/30 05:01:49 - mmengine - INFO - Epoch(train) [49][1040/3757] lr: 1.000e-03 eta: 14:50:28 time: 0.248 data_time: 0.036 memory: 6404 grad_norm: 7.2162 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6142 loss: 1.6142 2022/06/30 05:01:55 - mmengine - INFO - Epoch(train) [49][1060/3757] lr: 1.000e-03 eta: 14:50:23 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 7.4823 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4780 loss: 1.4780 2022/06/30 05:02:00 - mmengine - INFO - Epoch(train) [49][1080/3757] lr: 1.000e-03 eta: 14:50:18 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.9985 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2253 loss: 1.2253 2022/06/30 05:02:06 - mmengine - INFO - Epoch(train) [49][1100/3757] lr: 1.000e-03 eta: 14:50:12 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 5.7771 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3258 loss: 1.3258 2022/06/30 05:02:11 - mmengine - INFO - Epoch(train) [49][1120/3757] lr: 1.000e-03 eta: 14:50:07 time: 0.274 data_time: 0.011 memory: 6404 grad_norm: 6.2660 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2639 loss: 1.2639 2022/06/30 05:02:16 - mmengine - INFO - Epoch(train) [49][1140/3757] lr: 1.000e-03 eta: 14:50:01 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 5.9989 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5811 loss: 1.5811 2022/06/30 05:02:22 - mmengine - INFO - Epoch(train) [49][1160/3757] lr: 1.000e-03 eta: 14:49:55 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 7.2805 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5418 loss: 1.5418 2022/06/30 05:02:27 - mmengine - INFO - Epoch(train) [49][1180/3757] lr: 1.000e-03 eta: 14:49:49 time: 0.241 data_time: 0.011 memory: 6404 grad_norm: 5.7845 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5061 loss: 1.5061 2022/06/30 05:02:32 - mmengine - INFO - Epoch(train) [49][1200/3757] lr: 1.000e-03 eta: 14:49:43 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 7.1232 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2358 loss: 1.2358 2022/06/30 05:02:37 - mmengine - INFO - Epoch(train) [49][1220/3757] lr: 1.000e-03 eta: 14:49:38 time: 0.259 data_time: 0.016 memory: 6404 grad_norm: 6.2564 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8257 loss: 0.8257 2022/06/30 05:02:42 - mmengine - INFO - Epoch(train) [49][1240/3757] lr: 1.000e-03 eta: 14:49:32 time: 0.248 data_time: 0.020 memory: 6404 grad_norm: 6.0671 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0805 loss: 1.0805 2022/06/30 05:02:48 - mmengine - INFO - Epoch(train) [49][1260/3757] lr: 1.000e-03 eta: 14:49:26 time: 0.248 data_time: 0.016 memory: 6404 grad_norm: 6.8632 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2383 loss: 1.2383 2022/06/30 05:02:53 - mmengine - INFO - Epoch(train) [49][1280/3757] lr: 1.000e-03 eta: 14:49:21 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 6.0347 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5480 loss: 1.5480 2022/06/30 05:02:59 - mmengine - INFO - Epoch(train) [49][1300/3757] lr: 1.000e-03 eta: 14:49:15 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 6.9683 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2579 loss: 1.2579 2022/06/30 05:03:05 - mmengine - INFO - Epoch(train) [49][1320/3757] lr: 1.000e-03 eta: 14:49:10 time: 0.258 data_time: 0.032 memory: 6404 grad_norm: 5.3977 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5493 loss: 1.5493 2022/06/30 05:03:10 - mmengine - INFO - Epoch(train) [49][1340/3757] lr: 1.000e-03 eta: 14:49:04 time: 0.254 data_time: 0.016 memory: 6404 grad_norm: 6.1494 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9775 loss: 0.9775 2022/06/30 05:03:15 - mmengine - INFO - Epoch(train) [49][1360/3757] lr: 1.000e-03 eta: 14:48:59 time: 0.247 data_time: 0.014 memory: 6404 grad_norm: 6.5772 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1939 loss: 1.1939 2022/06/30 05:03:21 - mmengine - INFO - Epoch(train) [49][1380/3757] lr: 1.000e-03 eta: 14:48:53 time: 0.259 data_time: 0.023 memory: 6404 grad_norm: 5.7488 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1688 loss: 1.1688 2022/06/30 05:03:26 - mmengine - INFO - Epoch(train) [49][1400/3757] lr: 1.000e-03 eta: 14:48:48 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 7.1892 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.6638 loss: 1.6638 2022/06/30 05:03:32 - mmengine - INFO - Epoch(train) [49][1420/3757] lr: 1.000e-03 eta: 14:48:42 time: 0.276 data_time: 0.006 memory: 6404 grad_norm: 6.4609 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4653 loss: 1.4653 2022/06/30 05:03:37 - mmengine - INFO - Epoch(train) [49][1440/3757] lr: 1.000e-03 eta: 14:48:37 time: 0.251 data_time: 0.036 memory: 6404 grad_norm: 5.4099 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8055 loss: 0.8055 2022/06/30 05:03:43 - mmengine - INFO - Epoch(train) [49][1460/3757] lr: 1.000e-03 eta: 14:48:32 time: 0.254 data_time: 0.018 memory: 6404 grad_norm: 6.1610 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4759 loss: 1.4759 2022/06/30 05:03:49 - mmengine - INFO - Epoch(train) [49][1480/3757] lr: 1.000e-03 eta: 14:48:26 time: 0.275 data_time: 0.007 memory: 6404 grad_norm: 5.6151 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1662 loss: 1.1662 2022/06/30 05:03:54 - mmengine - INFO - Epoch(train) [49][1500/3757] lr: 1.000e-03 eta: 14:48:20 time: 0.271 data_time: 0.019 memory: 6404 grad_norm: 6.9542 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1365 loss: 1.1365 2022/06/30 05:03:59 - mmengine - INFO - Epoch(train) [49][1520/3757] lr: 1.000e-03 eta: 14:48:14 time: 0.249 data_time: 0.023 memory: 6404 grad_norm: 5.5823 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2581 loss: 1.2581 2022/06/30 05:04:05 - mmengine - INFO - Epoch(train) [49][1540/3757] lr: 1.000e-03 eta: 14:48:09 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 6.0238 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3563 loss: 1.3563 2022/06/30 05:04:10 - mmengine - INFO - Epoch(train) [49][1560/3757] lr: 1.000e-03 eta: 14:48:04 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 6.1235 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2040 loss: 1.2040 2022/06/30 05:04:16 - mmengine - INFO - Epoch(train) [49][1580/3757] lr: 1.000e-03 eta: 14:47:58 time: 0.273 data_time: 0.007 memory: 6404 grad_norm: 6.4061 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6398 loss: 1.6398 2022/06/30 05:04:22 - mmengine - INFO - Epoch(train) [49][1600/3757] lr: 1.000e-03 eta: 14:47:53 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.6608 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6283 loss: 1.6283 2022/06/30 05:04:27 - mmengine - INFO - Epoch(train) [49][1620/3757] lr: 1.000e-03 eta: 14:47:47 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 6.4337 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3917 loss: 1.3917 2022/06/30 05:04:32 - mmengine - INFO - Epoch(train) [49][1640/3757] lr: 1.000e-03 eta: 14:47:41 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 6.1921 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3118 loss: 1.3118 2022/06/30 05:04:37 - mmengine - INFO - Epoch(train) [49][1660/3757] lr: 1.000e-03 eta: 14:47:35 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 5.8000 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4635 loss: 1.4635 2022/06/30 05:04:38 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 05:04:42 - mmengine - INFO - Epoch(train) [49][1680/3757] lr: 1.000e-03 eta: 14:47:30 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 6.0044 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5537 loss: 1.5537 2022/06/30 05:04:48 - mmengine - INFO - Epoch(train) [49][1700/3757] lr: 1.000e-03 eta: 14:47:24 time: 0.248 data_time: 0.057 memory: 6404 grad_norm: 6.7047 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2041 loss: 1.2041 2022/06/30 05:04:53 - mmengine - INFO - Epoch(train) [49][1720/3757] lr: 1.000e-03 eta: 14:47:18 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 5.8246 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2570 loss: 1.2570 2022/06/30 05:04:58 - mmengine - INFO - Epoch(train) [49][1740/3757] lr: 1.000e-03 eta: 14:47:12 time: 0.396 data_time: 0.042 memory: 6404 grad_norm: 7.6072 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3014 loss: 1.3014 2022/06/30 05:05:04 - mmengine - INFO - Epoch(train) [49][1760/3757] lr: 1.000e-03 eta: 14:47:07 time: 0.245 data_time: 0.018 memory: 6404 grad_norm: 6.6967 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3421 loss: 1.3421 2022/06/30 05:05:09 - mmengine - INFO - Epoch(train) [49][1780/3757] lr: 1.000e-03 eta: 14:47:01 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 7.0051 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4725 loss: 1.4725 2022/06/30 05:05:15 - mmengine - INFO - Epoch(train) [49][1800/3757] lr: 1.000e-03 eta: 14:46:56 time: 0.243 data_time: 0.020 memory: 6404 grad_norm: 6.8978 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3919 loss: 1.3919 2022/06/30 05:05:21 - mmengine - INFO - Epoch(train) [49][1820/3757] lr: 1.000e-03 eta: 14:46:51 time: 0.521 data_time: 0.024 memory: 6404 grad_norm: 5.9878 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5785 loss: 1.5785 2022/06/30 05:05:26 - mmengine - INFO - Epoch(train) [49][1840/3757] lr: 1.000e-03 eta: 14:46:45 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.3737 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1272 loss: 1.1272 2022/06/30 05:05:31 - mmengine - INFO - Epoch(train) [49][1860/3757] lr: 1.000e-03 eta: 14:46:39 time: 0.250 data_time: 0.014 memory: 6404 grad_norm: 6.0975 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4712 loss: 1.4712 2022/06/30 05:05:37 - mmengine - INFO - Epoch(train) [49][1880/3757] lr: 1.000e-03 eta: 14:46:34 time: 0.252 data_time: 0.020 memory: 6404 grad_norm: 6.4593 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0322 loss: 1.0322 2022/06/30 05:05:43 - mmengine - INFO - Epoch(train) [49][1900/3757] lr: 1.000e-03 eta: 14:46:29 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 6.1316 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1945 loss: 1.1945 2022/06/30 05:05:48 - mmengine - INFO - Epoch(train) [49][1920/3757] lr: 1.000e-03 eta: 14:46:23 time: 0.242 data_time: 0.023 memory: 6404 grad_norm: 7.0837 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1576 loss: 1.1576 2022/06/30 05:05:53 - mmengine - INFO - Epoch(train) [49][1940/3757] lr: 1.000e-03 eta: 14:46:17 time: 0.251 data_time: 0.014 memory: 6404 grad_norm: 5.6085 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7790 loss: 1.7790 2022/06/30 05:05:59 - mmengine - INFO - Epoch(train) [49][1960/3757] lr: 1.000e-03 eta: 14:46:12 time: 0.244 data_time: 0.012 memory: 6404 grad_norm: 6.9878 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3271 loss: 1.3271 2022/06/30 05:06:05 - mmengine - INFO - Epoch(train) [49][1980/3757] lr: 1.000e-03 eta: 14:46:07 time: 0.238 data_time: 0.016 memory: 6404 grad_norm: 6.6449 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1251 loss: 1.1251 2022/06/30 05:06:10 - mmengine - INFO - Epoch(train) [49][2000/3757] lr: 1.000e-03 eta: 14:46:01 time: 0.245 data_time: 0.019 memory: 6404 grad_norm: 5.7516 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6636 loss: 1.6636 2022/06/30 05:06:15 - mmengine - INFO - Epoch(train) [49][2020/3757] lr: 1.000e-03 eta: 14:45:55 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 7.2143 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5246 loss: 1.5246 2022/06/30 05:06:21 - mmengine - INFO - Epoch(train) [49][2040/3757] lr: 1.000e-03 eta: 14:45:50 time: 0.267 data_time: 0.013 memory: 6404 grad_norm: 6.9174 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4408 loss: 1.4408 2022/06/30 05:06:26 - mmengine - INFO - Epoch(train) [49][2060/3757] lr: 1.000e-03 eta: 14:45:44 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 5.9476 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7263 loss: 0.7263 2022/06/30 05:06:31 - mmengine - INFO - Epoch(train) [49][2080/3757] lr: 1.000e-03 eta: 14:45:38 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 6.5083 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3002 loss: 1.3002 2022/06/30 05:06:37 - mmengine - INFO - Epoch(train) [49][2100/3757] lr: 1.000e-03 eta: 14:45:32 time: 0.249 data_time: 0.028 memory: 6404 grad_norm: 7.6819 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5492 loss: 1.5492 2022/06/30 05:06:42 - mmengine - INFO - Epoch(train) [49][2120/3757] lr: 1.000e-03 eta: 14:45:27 time: 0.243 data_time: 0.022 memory: 6404 grad_norm: 6.4016 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4500 loss: 1.4500 2022/06/30 05:06:48 - mmengine - INFO - Epoch(train) [49][2140/3757] lr: 1.000e-03 eta: 14:45:21 time: 0.248 data_time: 0.023 memory: 6404 grad_norm: 6.2998 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3875 loss: 1.3875 2022/06/30 05:06:53 - mmengine - INFO - Epoch(train) [49][2160/3757] lr: 1.000e-03 eta: 14:45:16 time: 0.251 data_time: 0.020 memory: 6404 grad_norm: 6.4984 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4081 loss: 1.4081 2022/06/30 05:06:58 - mmengine - INFO - Epoch(train) [49][2180/3757] lr: 1.000e-03 eta: 14:45:10 time: 0.260 data_time: 0.021 memory: 6404 grad_norm: 5.7647 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4581 loss: 1.4581 2022/06/30 05:07:04 - mmengine - INFO - Epoch(train) [49][2200/3757] lr: 1.000e-03 eta: 14:45:05 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 6.1572 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2061 loss: 1.2061 2022/06/30 05:07:10 - mmengine - INFO - Epoch(train) [49][2220/3757] lr: 1.000e-03 eta: 14:45:00 time: 0.252 data_time: 0.034 memory: 6404 grad_norm: 6.4222 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3138 loss: 1.3138 2022/06/30 05:07:15 - mmengine - INFO - Epoch(train) [49][2240/3757] lr: 1.000e-03 eta: 14:44:54 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 6.5820 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2203 loss: 1.2203 2022/06/30 05:07:21 - mmengine - INFO - Epoch(train) [49][2260/3757] lr: 1.000e-03 eta: 14:44:49 time: 0.507 data_time: 0.026 memory: 6404 grad_norm: 6.8345 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1111 loss: 1.1111 2022/06/30 05:07:26 - mmengine - INFO - Epoch(train) [49][2280/3757] lr: 1.000e-03 eta: 14:44:43 time: 0.282 data_time: 0.019 memory: 6404 grad_norm: 6.1041 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8519 loss: 1.8519 2022/06/30 05:07:32 - mmengine - INFO - Epoch(train) [49][2300/3757] lr: 1.000e-03 eta: 14:44:38 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 6.4232 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8134 loss: 1.8134 2022/06/30 05:07:37 - mmengine - INFO - Epoch(train) [49][2320/3757] lr: 1.000e-03 eta: 14:44:32 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 5.6600 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1650 loss: 1.1650 2022/06/30 05:07:42 - mmengine - INFO - Epoch(train) [49][2340/3757] lr: 1.000e-03 eta: 14:44:26 time: 0.326 data_time: 0.017 memory: 6404 grad_norm: 5.7887 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2237 loss: 1.2237 2022/06/30 05:07:48 - mmengine - INFO - Epoch(train) [49][2360/3757] lr: 1.000e-03 eta: 14:44:20 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.4225 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5292 loss: 1.5292 2022/06/30 05:07:53 - mmengine - INFO - Epoch(train) [49][2380/3757] lr: 1.000e-03 eta: 14:44:15 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 7.3028 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0440 loss: 1.0440 2022/06/30 05:07:59 - mmengine - INFO - Epoch(train) [49][2400/3757] lr: 1.000e-03 eta: 14:44:09 time: 0.289 data_time: 0.013 memory: 6404 grad_norm: 6.2859 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4977 loss: 1.4977 2022/06/30 05:08:04 - mmengine - INFO - Epoch(train) [49][2420/3757] lr: 1.000e-03 eta: 14:44:03 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 6.5178 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3813 loss: 1.3813 2022/06/30 05:08:09 - mmengine - INFO - Epoch(train) [49][2440/3757] lr: 1.000e-03 eta: 14:43:58 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.8562 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3461 loss: 1.3461 2022/06/30 05:08:15 - mmengine - INFO - Epoch(train) [49][2460/3757] lr: 1.000e-03 eta: 14:43:52 time: 0.289 data_time: 0.012 memory: 6404 grad_norm: 6.1402 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0354 loss: 1.0354 2022/06/30 05:08:20 - mmengine - INFO - Epoch(train) [49][2480/3757] lr: 1.000e-03 eta: 14:43:47 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.8098 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2608 loss: 1.2608 2022/06/30 05:08:26 - mmengine - INFO - Epoch(train) [49][2500/3757] lr: 1.000e-03 eta: 14:43:41 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 6.3319 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7001 loss: 1.7001 2022/06/30 05:08:32 - mmengine - INFO - Epoch(train) [49][2520/3757] lr: 1.000e-03 eta: 14:43:36 time: 0.292 data_time: 0.008 memory: 6404 grad_norm: 6.7996 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3447 loss: 1.3447 2022/06/30 05:08:37 - mmengine - INFO - Epoch(train) [49][2540/3757] lr: 1.000e-03 eta: 14:43:30 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 7.2060 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1568 loss: 1.1568 2022/06/30 05:08:42 - mmengine - INFO - Epoch(train) [49][2560/3757] lr: 1.000e-03 eta: 14:43:25 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.0638 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9578 loss: 0.9578 2022/06/30 05:08:48 - mmengine - INFO - Epoch(train) [49][2580/3757] lr: 1.000e-03 eta: 14:43:19 time: 0.263 data_time: 0.020 memory: 6404 grad_norm: 6.8941 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3475 loss: 1.3475 2022/06/30 05:08:53 - mmengine - INFO - Epoch(train) [49][2600/3757] lr: 1.000e-03 eta: 14:43:13 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 5.9474 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9606 loss: 0.9606 2022/06/30 05:08:59 - mmengine - INFO - Epoch(train) [49][2620/3757] lr: 1.000e-03 eta: 14:43:08 time: 0.330 data_time: 0.007 memory: 6404 grad_norm: 6.6475 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1785 loss: 1.1785 2022/06/30 05:09:04 - mmengine - INFO - Epoch(train) [49][2640/3757] lr: 1.000e-03 eta: 14:43:03 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 6.0119 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6350 loss: 1.6350 2022/06/30 05:09:09 - mmengine - INFO - Epoch(train) [49][2660/3757] lr: 1.000e-03 eta: 14:42:57 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 6.8370 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0451 loss: 1.0451 2022/06/30 05:09:10 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 05:09:15 - mmengine - INFO - Epoch(train) [49][2680/3757] lr: 1.000e-03 eta: 14:42:51 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 4.6870 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1856 loss: 1.1856 2022/06/30 05:09:20 - mmengine - INFO - Epoch(train) [49][2700/3757] lr: 1.000e-03 eta: 14:42:45 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 5.8286 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0436 loss: 1.0436 2022/06/30 05:09:26 - mmengine - INFO - Epoch(train) [49][2720/3757] lr: 1.000e-03 eta: 14:42:40 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 6.2692 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5568 loss: 1.5568 2022/06/30 05:09:32 - mmengine - INFO - Epoch(train) [49][2740/3757] lr: 1.000e-03 eta: 14:42:35 time: 0.299 data_time: 0.010 memory: 6404 grad_norm: 6.3492 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5559 loss: 1.5559 2022/06/30 05:09:37 - mmengine - INFO - Epoch(train) [49][2760/3757] lr: 1.000e-03 eta: 14:42:29 time: 0.283 data_time: 0.008 memory: 6404 grad_norm: 6.6309 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8944 loss: 0.8944 2022/06/30 05:09:43 - mmengine - INFO - Epoch(train) [49][2780/3757] lr: 1.000e-03 eta: 14:42:24 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 5.8309 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2221 loss: 1.2221 2022/06/30 05:09:48 - mmengine - INFO - Epoch(train) [49][2800/3757] lr: 1.000e-03 eta: 14:42:19 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 6.0023 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3750 loss: 1.3750 2022/06/30 05:09:54 - mmengine - INFO - Epoch(train) [49][2820/3757] lr: 1.000e-03 eta: 14:42:13 time: 0.274 data_time: 0.012 memory: 6404 grad_norm: 6.5883 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3095 loss: 1.3095 2022/06/30 05:09:59 - mmengine - INFO - Epoch(train) [49][2840/3757] lr: 1.000e-03 eta: 14:42:08 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 6.2139 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2543 loss: 1.2543 2022/06/30 05:10:05 - mmengine - INFO - Epoch(train) [49][2860/3757] lr: 1.000e-03 eta: 14:42:02 time: 0.277 data_time: 0.007 memory: 6404 grad_norm: 5.4098 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3060 loss: 1.3060 2022/06/30 05:10:10 - mmengine - INFO - Epoch(train) [49][2880/3757] lr: 1.000e-03 eta: 14:41:56 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 7.3136 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2076 loss: 1.2076 2022/06/30 05:10:15 - mmengine - INFO - Epoch(train) [49][2900/3757] lr: 1.000e-03 eta: 14:41:51 time: 0.258 data_time: 0.024 memory: 6404 grad_norm: 4.9335 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1432 loss: 1.1432 2022/06/30 05:10:21 - mmengine - INFO - Epoch(train) [49][2920/3757] lr: 1.000e-03 eta: 14:41:45 time: 0.724 data_time: 0.007 memory: 6404 grad_norm: 7.5771 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4770 loss: 1.4770 2022/06/30 05:10:26 - mmengine - INFO - Epoch(train) [49][2940/3757] lr: 1.000e-03 eta: 14:41:40 time: 0.257 data_time: 0.016 memory: 6404 grad_norm: 5.9179 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5189 loss: 1.5189 2022/06/30 05:10:32 - mmengine - INFO - Epoch(train) [49][2960/3757] lr: 1.000e-03 eta: 14:41:34 time: 0.247 data_time: 0.024 memory: 6404 grad_norm: 7.6928 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2763 loss: 1.2763 2022/06/30 05:10:37 - mmengine - INFO - Epoch(train) [49][2980/3757] lr: 1.000e-03 eta: 14:41:28 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 6.1066 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3751 loss: 1.3751 2022/06/30 05:10:42 - mmengine - INFO - Epoch(train) [49][3000/3757] lr: 1.000e-03 eta: 14:41:23 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 5.5504 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5686 loss: 1.5686 2022/06/30 05:10:49 - mmengine - INFO - Epoch(train) [49][3020/3757] lr: 1.000e-03 eta: 14:41:18 time: 0.257 data_time: 0.027 memory: 6404 grad_norm: 6.3267 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3945 loss: 1.3945 2022/06/30 05:10:54 - mmengine - INFO - Epoch(train) [49][3040/3757] lr: 1.000e-03 eta: 14:41:12 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 6.5904 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2210 loss: 1.2210 2022/06/30 05:10:59 - mmengine - INFO - Epoch(train) [49][3060/3757] lr: 1.000e-03 eta: 14:41:07 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.0079 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4282 loss: 1.4282 2022/06/30 05:11:05 - mmengine - INFO - Epoch(train) [49][3080/3757] lr: 1.000e-03 eta: 14:41:01 time: 0.260 data_time: 0.026 memory: 6404 grad_norm: 6.9363 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0014 loss: 1.0014 2022/06/30 05:11:10 - mmengine - INFO - Epoch(train) [49][3100/3757] lr: 1.000e-03 eta: 14:40:56 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 4.8121 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5686 loss: 1.5686 2022/06/30 05:11:16 - mmengine - INFO - Epoch(train) [49][3120/3757] lr: 1.000e-03 eta: 14:40:50 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 6.2491 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2794 loss: 1.2794 2022/06/30 05:11:22 - mmengine - INFO - Epoch(train) [49][3140/3757] lr: 1.000e-03 eta: 14:40:45 time: 0.260 data_time: 0.013 memory: 6404 grad_norm: 6.3323 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5260 loss: 1.5260 2022/06/30 05:11:28 - mmengine - INFO - Epoch(train) [49][3160/3757] lr: 1.000e-03 eta: 14:40:40 time: 0.243 data_time: 0.013 memory: 6404 grad_norm: 5.6929 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0864 loss: 1.0864 2022/06/30 05:11:33 - mmengine - INFO - Epoch(train) [49][3180/3757] lr: 1.000e-03 eta: 14:40:34 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 6.3423 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1354 loss: 1.1354 2022/06/30 05:11:38 - mmengine - INFO - Epoch(train) [49][3200/3757] lr: 1.000e-03 eta: 14:40:28 time: 0.250 data_time: 0.056 memory: 6404 grad_norm: 6.8559 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8219 loss: 1.8219 2022/06/30 05:11:44 - mmengine - INFO - Epoch(train) [49][3220/3757] lr: 1.000e-03 eta: 14:40:23 time: 0.237 data_time: 0.015 memory: 6404 grad_norm: 5.9340 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3389 loss: 1.3389 2022/06/30 05:11:50 - mmengine - INFO - Epoch(train) [49][3240/3757] lr: 1.000e-03 eta: 14:40:18 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 6.2675 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1596 loss: 1.1596 2022/06/30 05:11:55 - mmengine - INFO - Epoch(train) [49][3260/3757] lr: 1.000e-03 eta: 14:40:12 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 6.7621 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5040 loss: 1.5040 2022/06/30 05:12:00 - mmengine - INFO - Epoch(train) [49][3280/3757] lr: 1.000e-03 eta: 14:40:06 time: 0.264 data_time: 0.036 memory: 6404 grad_norm: 5.4957 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9663 loss: 0.9663 2022/06/30 05:12:06 - mmengine - INFO - Epoch(train) [49][3300/3757] lr: 1.000e-03 eta: 14:40:01 time: 0.342 data_time: 0.010 memory: 6404 grad_norm: 6.1959 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6745 loss: 1.6745 2022/06/30 05:12:12 - mmengine - INFO - Epoch(train) [49][3320/3757] lr: 1.000e-03 eta: 14:39:56 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 7.7987 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6336 loss: 1.6336 2022/06/30 05:12:17 - mmengine - INFO - Epoch(train) [49][3340/3757] lr: 1.000e-03 eta: 14:39:50 time: 0.260 data_time: 0.039 memory: 6404 grad_norm: 7.1984 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3907 loss: 1.3907 2022/06/30 05:12:23 - mmengine - INFO - Epoch(train) [49][3360/3757] lr: 1.000e-03 eta: 14:39:45 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 5.8189 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5431 loss: 1.5431 2022/06/30 05:12:28 - mmengine - INFO - Epoch(train) [49][3380/3757] lr: 1.000e-03 eta: 14:39:39 time: 0.269 data_time: 0.015 memory: 6404 grad_norm: 6.4775 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4245 loss: 1.4245 2022/06/30 05:12:33 - mmengine - INFO - Epoch(train) [49][3400/3757] lr: 1.000e-03 eta: 14:39:33 time: 0.253 data_time: 0.017 memory: 6404 grad_norm: 5.6835 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4942 loss: 1.4942 2022/06/30 05:12:39 - mmengine - INFO - Epoch(train) [49][3420/3757] lr: 1.000e-03 eta: 14:39:28 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 5.6264 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6209 loss: 1.6209 2022/06/30 05:12:44 - mmengine - INFO - Epoch(train) [49][3440/3757] lr: 1.000e-03 eta: 14:39:22 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 7.0421 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2526 loss: 1.2526 2022/06/30 05:12:50 - mmengine - INFO - Epoch(train) [49][3460/3757] lr: 1.000e-03 eta: 14:39:17 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 5.7246 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1138 loss: 1.1138 2022/06/30 05:12:56 - mmengine - INFO - Epoch(train) [49][3480/3757] lr: 1.000e-03 eta: 14:39:11 time: 0.256 data_time: 0.018 memory: 6404 grad_norm: 6.2007 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2347 loss: 1.2347 2022/06/30 05:13:01 - mmengine - INFO - Epoch(train) [49][3500/3757] lr: 1.000e-03 eta: 14:39:06 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 6.4836 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1045 loss: 1.1045 2022/06/30 05:13:06 - mmengine - INFO - Epoch(train) [49][3520/3757] lr: 1.000e-03 eta: 14:39:00 time: 0.259 data_time: 0.015 memory: 6404 grad_norm: 6.2262 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9902 loss: 0.9902 2022/06/30 05:13:12 - mmengine - INFO - Epoch(train) [49][3540/3757] lr: 1.000e-03 eta: 14:38:55 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 5.6326 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8855 loss: 0.8855 2022/06/30 05:13:17 - mmengine - INFO - Epoch(train) [49][3560/3757] lr: 1.000e-03 eta: 14:38:49 time: 0.269 data_time: 0.011 memory: 6404 grad_norm: 8.7434 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7353 loss: 1.7353 2022/06/30 05:13:22 - mmengine - INFO - Epoch(train) [49][3580/3757] lr: 1.000e-03 eta: 14:38:43 time: 0.251 data_time: 0.017 memory: 6404 grad_norm: 5.0093 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6935 loss: 1.6935 2022/06/30 05:13:28 - mmengine - INFO - Epoch(train) [49][3600/3757] lr: 1.000e-03 eta: 14:38:38 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 6.1555 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2909 loss: 1.2909 2022/06/30 05:13:34 - mmengine - INFO - Epoch(train) [49][3620/3757] lr: 1.000e-03 eta: 14:38:33 time: 0.351 data_time: 0.015 memory: 6404 grad_norm: 6.7093 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5182 loss: 1.5182 2022/06/30 05:13:39 - mmengine - INFO - Epoch(train) [49][3640/3757] lr: 1.000e-03 eta: 14:38:27 time: 0.250 data_time: 0.018 memory: 6404 grad_norm: 7.7597 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2401 loss: 1.2401 2022/06/30 05:13:45 - mmengine - INFO - Epoch(train) [49][3660/3757] lr: 1.000e-03 eta: 14:38:22 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 6.2051 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5922 loss: 1.5922 2022/06/30 05:13:46 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 05:13:51 - mmengine - INFO - Epoch(train) [49][3680/3757] lr: 1.000e-03 eta: 14:38:16 time: 0.279 data_time: 0.016 memory: 6404 grad_norm: 6.4630 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0411 loss: 1.0411 2022/06/30 05:13:56 - mmengine - INFO - Epoch(train) [49][3700/3757] lr: 1.000e-03 eta: 14:38:11 time: 0.252 data_time: 0.024 memory: 6404 grad_norm: 6.0559 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4493 loss: 1.4493 2022/06/30 05:14:02 - mmengine - INFO - Epoch(train) [49][3720/3757] lr: 1.000e-03 eta: 14:38:05 time: 0.265 data_time: 0.015 memory: 6404 grad_norm: 7.1837 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3704 loss: 1.3704 2022/06/30 05:14:07 - mmengine - INFO - Epoch(train) [49][3740/3757] lr: 1.000e-03 eta: 14:38:00 time: 0.266 data_time: 0.006 memory: 6404 grad_norm: 6.9581 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1329 loss: 1.1329 2022/06/30 05:14:11 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 05:14:18 - mmengine - INFO - Epoch(val) [49][20/310] eta: 0:01:25 time: 0.105 data_time: 0.019 memory: 6404 2022/06/30 05:14:24 - mmengine - INFO - Epoch(val) [49][40/310] eta: 0:01:18 time: 0.106 data_time: 0.027 memory: 1479 2022/06/30 05:14:27 - mmengine - INFO - Epoch(val) [49][60/310] eta: 0:00:22 time: 0.092 data_time: 0.010 memory: 1479 2022/06/30 05:14:34 - mmengine - INFO - Epoch(val) [49][80/310] eta: 0:01:13 time: 0.110 data_time: 0.010 memory: 1479 2022/06/30 05:14:40 - mmengine - INFO - Epoch(val) [49][100/310] eta: 0:01:01 time: 0.741 data_time: 0.648 memory: 1479 2022/06/30 05:14:44 - mmengine - INFO - Epoch(val) [49][120/310] eta: 0:00:25 time: 0.101 data_time: 0.010 memory: 1479 2022/06/30 05:14:50 - mmengine - INFO - Epoch(val) [49][140/310] eta: 0:00:52 time: 0.086 data_time: 0.009 memory: 1479 2022/06/30 05:14:56 - mmengine - INFO - Epoch(val) [49][160/310] eta: 0:00:47 time: 1.587 data_time: 1.510 memory: 1479 2022/06/30 05:15:00 - mmengine - INFO - Epoch(val) [49][180/310] eta: 0:00:33 time: 0.086 data_time: 0.006 memory: 1479 2022/06/30 05:15:07 - mmengine - INFO - Epoch(val) [49][200/310] eta: 0:00:34 time: 0.080 data_time: 0.005 memory: 1479 2022/06/30 05:15:12 - mmengine - INFO - Epoch(val) [49][220/310] eta: 0:00:26 time: 1.597 data_time: 1.496 memory: 1479 2022/06/30 05:15:16 - mmengine - INFO - Epoch(val) [49][240/310] eta: 0:00:18 time: 0.083 data_time: 0.007 memory: 1479 2022/06/30 05:15:22 - mmengine - INFO - Epoch(val) [49][260/310] eta: 0:00:15 time: 0.079 data_time: 0.005 memory: 1479 2022/06/30 05:15:28 - mmengine - INFO - Epoch(val) [49][280/310] eta: 0:00:09 time: 1.401 data_time: 1.318 memory: 1479 2022/06/30 05:15:32 - mmengine - INFO - Epoch(val) [49][300/310] eta: 0:00:02 time: 0.093 data_time: 0.007 memory: 1479 2022/06/30 05:15:34 - mmengine - INFO - Epoch(val) [49][310/310] acc/top1: 0.6567 acc/top5: 0.8622 acc/mean1: 0.6566 2022/06/30 05:15:43 - mmengine - INFO - Epoch(train) [50][20/3757] lr: 1.000e-03 eta: 14:37:51 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.6875 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3250 loss: 1.3250 2022/06/30 05:15:48 - mmengine - INFO - Epoch(train) [50][40/3757] lr: 1.000e-03 eta: 14:37:45 time: 0.263 data_time: 0.006 memory: 6404 grad_norm: 7.5657 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2376 loss: 1.2376 2022/06/30 05:15:54 - mmengine - INFO - Epoch(train) [50][60/3757] lr: 1.000e-03 eta: 14:37:40 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 6.9720 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7898 loss: 1.7898 2022/06/30 05:16:00 - mmengine - INFO - Epoch(train) [50][80/3757] lr: 1.000e-03 eta: 14:37:35 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 6.9126 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6024 loss: 1.6024 2022/06/30 05:16:05 - mmengine - INFO - Epoch(train) [50][100/3757] lr: 1.000e-03 eta: 14:37:29 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 5.9064 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5678 loss: 1.5678 2022/06/30 05:16:11 - mmengine - INFO - Epoch(train) [50][120/3757] lr: 1.000e-03 eta: 14:37:23 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 6.7091 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1313 loss: 1.1313 2022/06/30 05:16:16 - mmengine - INFO - Epoch(train) [50][140/3757] lr: 1.000e-03 eta: 14:37:18 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 7.3888 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2999 loss: 1.2999 2022/06/30 05:16:21 - mmengine - INFO - Epoch(train) [50][160/3757] lr: 1.000e-03 eta: 14:37:12 time: 0.334 data_time: 0.007 memory: 6404 grad_norm: 6.9682 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1259 loss: 1.1259 2022/06/30 05:16:27 - mmengine - INFO - Epoch(train) [50][180/3757] lr: 1.000e-03 eta: 14:37:07 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.6596 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1679 loss: 1.1679 2022/06/30 05:16:32 - mmengine - INFO - Epoch(train) [50][200/3757] lr: 1.000e-03 eta: 14:37:01 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 6.3979 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4759 loss: 1.4759 2022/06/30 05:16:38 - mmengine - INFO - Epoch(train) [50][220/3757] lr: 1.000e-03 eta: 14:36:56 time: 0.271 data_time: 0.007 memory: 6404 grad_norm: 5.5624 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1990 loss: 1.1990 2022/06/30 05:16:44 - mmengine - INFO - Epoch(train) [50][240/3757] lr: 1.000e-03 eta: 14:36:50 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 6.1037 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5059 loss: 1.5059 2022/06/30 05:16:49 - mmengine - INFO - Epoch(train) [50][260/3757] lr: 1.000e-03 eta: 14:36:45 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 7.6162 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3131 loss: 1.3131 2022/06/30 05:16:54 - mmengine - INFO - Epoch(train) [50][280/3757] lr: 1.000e-03 eta: 14:36:39 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 6.5961 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3403 loss: 1.3403 2022/06/30 05:17:00 - mmengine - INFO - Epoch(train) [50][300/3757] lr: 1.000e-03 eta: 14:36:33 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.8134 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4843 loss: 1.4843 2022/06/30 05:17:05 - mmengine - INFO - Epoch(train) [50][320/3757] lr: 1.000e-03 eta: 14:36:28 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.8188 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1575 loss: 1.1575 2022/06/30 05:17:11 - mmengine - INFO - Epoch(train) [50][340/3757] lr: 1.000e-03 eta: 14:36:22 time: 0.274 data_time: 0.007 memory: 6404 grad_norm: 7.5165 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8814 loss: 0.8814 2022/06/30 05:17:16 - mmengine - INFO - Epoch(train) [50][360/3757] lr: 1.000e-03 eta: 14:36:17 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.2968 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3781 loss: 1.3781 2022/06/30 05:17:22 - mmengine - INFO - Epoch(train) [50][380/3757] lr: 1.000e-03 eta: 14:36:11 time: 0.293 data_time: 0.007 memory: 6404 grad_norm: 6.0693 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2870 loss: 1.2870 2022/06/30 05:17:27 - mmengine - INFO - Epoch(train) [50][400/3757] lr: 1.000e-03 eta: 14:36:06 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 6.2252 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.1617 loss: 1.1617 2022/06/30 05:17:33 - mmengine - INFO - Epoch(train) [50][420/3757] lr: 1.000e-03 eta: 14:36:00 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 7.1333 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4436 loss: 1.4436 2022/06/30 05:17:38 - mmengine - INFO - Epoch(train) [50][440/3757] lr: 1.000e-03 eta: 14:35:54 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.4959 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1214 loss: 1.1214 2022/06/30 05:17:44 - mmengine - INFO - Epoch(train) [50][460/3757] lr: 1.000e-03 eta: 14:35:49 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 7.5582 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2863 loss: 1.2863 2022/06/30 05:17:49 - mmengine - INFO - Epoch(train) [50][480/3757] lr: 1.000e-03 eta: 14:35:43 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.7866 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4676 loss: 1.4676 2022/06/30 05:17:55 - mmengine - INFO - Epoch(train) [50][500/3757] lr: 1.000e-03 eta: 14:35:38 time: 0.270 data_time: 0.012 memory: 6404 grad_norm: 6.4421 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4954 loss: 1.4954 2022/06/30 05:18:00 - mmengine - INFO - Epoch(train) [50][520/3757] lr: 1.000e-03 eta: 14:35:33 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.2512 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3475 loss: 1.3475 2022/06/30 05:18:05 - mmengine - INFO - Epoch(train) [50][540/3757] lr: 1.000e-03 eta: 14:35:27 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 8.6416 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5169 loss: 1.5169 2022/06/30 05:18:11 - mmengine - INFO - Epoch(train) [50][560/3757] lr: 1.000e-03 eta: 14:35:21 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 6.0673 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0128 loss: 1.0128 2022/06/30 05:18:16 - mmengine - INFO - Epoch(train) [50][580/3757] lr: 1.000e-03 eta: 14:35:16 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 6.8146 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2199 loss: 1.2199 2022/06/30 05:18:21 - mmengine - INFO - Epoch(train) [50][600/3757] lr: 1.000e-03 eta: 14:35:10 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 6.3673 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2913 loss: 1.2913 2022/06/30 05:18:27 - mmengine - INFO - Epoch(train) [50][620/3757] lr: 1.000e-03 eta: 14:35:04 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.4610 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7263 loss: 1.7263 2022/06/30 05:18:32 - mmengine - INFO - Epoch(train) [50][640/3757] lr: 1.000e-03 eta: 14:34:59 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.1614 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1123 loss: 1.1123 2022/06/30 05:18:38 - mmengine - INFO - Epoch(train) [50][660/3757] lr: 1.000e-03 eta: 14:34:53 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 6.2675 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9319 loss: 0.9319 2022/06/30 05:18:43 - mmengine - INFO - Epoch(train) [50][680/3757] lr: 1.000e-03 eta: 14:34:47 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.0574 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2104 loss: 1.2104 2022/06/30 05:18:48 - mmengine - INFO - Epoch(train) [50][700/3757] lr: 1.000e-03 eta: 14:34:41 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 7.2014 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3017 loss: 1.3017 2022/06/30 05:18:54 - mmengine - INFO - Epoch(train) [50][720/3757] lr: 1.000e-03 eta: 14:34:36 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 6.6283 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3919 loss: 1.3919 2022/06/30 05:19:00 - mmengine - INFO - Epoch(train) [50][740/3757] lr: 1.000e-03 eta: 14:34:31 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 7.6193 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3134 loss: 1.3134 2022/06/30 05:19:05 - mmengine - INFO - Epoch(train) [50][760/3757] lr: 1.000e-03 eta: 14:34:25 time: 0.253 data_time: 0.018 memory: 6404 grad_norm: 6.1756 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1094 loss: 1.1094 2022/06/30 05:19:10 - mmengine - INFO - Epoch(train) [50][780/3757] lr: 1.000e-03 eta: 14:34:20 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.0615 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4316 loss: 1.4316 2022/06/30 05:19:16 - mmengine - INFO - Epoch(train) [50][800/3757] lr: 1.000e-03 eta: 14:34:14 time: 0.242 data_time: 0.010 memory: 6404 grad_norm: 7.2077 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1178 loss: 1.1178 2022/06/30 05:19:22 - mmengine - INFO - Epoch(train) [50][820/3757] lr: 1.000e-03 eta: 14:34:09 time: 0.526 data_time: 0.017 memory: 6404 grad_norm: 5.5494 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1308 loss: 1.1308 2022/06/30 05:19:27 - mmengine - INFO - Epoch(train) [50][840/3757] lr: 1.000e-03 eta: 14:34:03 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 6.0894 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0839 loss: 1.0839 2022/06/30 05:19:33 - mmengine - INFO - Epoch(train) [50][860/3757] lr: 1.000e-03 eta: 14:33:58 time: 0.243 data_time: 0.030 memory: 6404 grad_norm: 6.8043 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5245 loss: 1.5245 2022/06/30 05:19:38 - mmengine - INFO - Epoch(train) [50][880/3757] lr: 1.000e-03 eta: 14:33:52 time: 0.257 data_time: 0.015 memory: 6404 grad_norm: 7.1214 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2733 loss: 1.2733 2022/06/30 05:19:44 - mmengine - INFO - Epoch(train) [50][900/3757] lr: 1.000e-03 eta: 14:33:47 time: 0.281 data_time: 0.012 memory: 6404 grad_norm: 6.5460 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4962 loss: 1.4962 2022/06/30 05:19:46 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 05:19:50 - mmengine - INFO - Epoch(train) [50][920/3757] lr: 1.000e-03 eta: 14:33:42 time: 0.260 data_time: 0.023 memory: 6404 grad_norm: 6.5344 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5570 loss: 1.5570 2022/06/30 05:19:55 - mmengine - INFO - Epoch(train) [50][940/3757] lr: 1.000e-03 eta: 14:33:36 time: 0.259 data_time: 0.014 memory: 6404 grad_norm: 6.3109 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3907 loss: 1.3907 2022/06/30 05:20:00 - mmengine - INFO - Epoch(train) [50][960/3757] lr: 1.000e-03 eta: 14:33:30 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 6.2482 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5219 loss: 1.5219 2022/06/30 05:20:06 - mmengine - INFO - Epoch(train) [50][980/3757] lr: 1.000e-03 eta: 14:33:25 time: 0.248 data_time: 0.013 memory: 6404 grad_norm: 5.7493 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3004 loss: 1.3004 2022/06/30 05:20:12 - mmengine - INFO - Epoch(train) [50][1000/3757] lr: 1.000e-03 eta: 14:33:20 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 6.1938 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8774 loss: 0.8774 2022/06/30 05:20:17 - mmengine - INFO - Epoch(train) [50][1020/3757] lr: 1.000e-03 eta: 14:33:14 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 6.2661 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2802 loss: 1.2802 2022/06/30 05:20:23 - mmengine - INFO - Epoch(train) [50][1040/3757] lr: 1.000e-03 eta: 14:33:09 time: 0.546 data_time: 0.010 memory: 6404 grad_norm: 7.1666 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4806 loss: 1.4806 2022/06/30 05:20:29 - mmengine - INFO - Epoch(train) [50][1060/3757] lr: 1.000e-03 eta: 14:33:04 time: 0.237 data_time: 0.017 memory: 6404 grad_norm: 5.7928 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0851 loss: 1.0851 2022/06/30 05:20:34 - mmengine - INFO - Epoch(train) [50][1080/3757] lr: 1.000e-03 eta: 14:32:58 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.7902 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5038 loss: 1.5038 2022/06/30 05:20:39 - mmengine - INFO - Epoch(train) [50][1100/3757] lr: 1.000e-03 eta: 14:32:52 time: 0.244 data_time: 0.014 memory: 6404 grad_norm: 6.7192 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7548 loss: 1.7548 2022/06/30 05:20:45 - mmengine - INFO - Epoch(train) [50][1120/3757] lr: 1.000e-03 eta: 14:32:47 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 6.3864 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4494 loss: 1.4494 2022/06/30 05:20:50 - mmengine - INFO - Epoch(train) [50][1140/3757] lr: 1.000e-03 eta: 14:32:41 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.4317 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1543 loss: 1.1543 2022/06/30 05:20:56 - mmengine - INFO - Epoch(train) [50][1160/3757] lr: 1.000e-03 eta: 14:32:36 time: 0.311 data_time: 0.016 memory: 6404 grad_norm: 6.7583 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4919 loss: 1.4919 2022/06/30 05:21:01 - mmengine - INFO - Epoch(train) [50][1180/3757] lr: 1.000e-03 eta: 14:32:30 time: 0.251 data_time: 0.014 memory: 6404 grad_norm: 7.6735 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5670 loss: 1.5670 2022/06/30 05:21:07 - mmengine - INFO - Epoch(train) [50][1200/3757] lr: 1.000e-03 eta: 14:32:25 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 6.2940 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2552 loss: 1.2552 2022/06/30 05:21:13 - mmengine - INFO - Epoch(train) [50][1220/3757] lr: 1.000e-03 eta: 14:32:20 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 6.0449 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1722 loss: 1.1722 2022/06/30 05:21:18 - mmengine - INFO - Epoch(train) [50][1240/3757] lr: 1.000e-03 eta: 14:32:14 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.0457 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3106 loss: 1.3106 2022/06/30 05:21:23 - mmengine - INFO - Epoch(train) [50][1260/3757] lr: 1.000e-03 eta: 14:32:08 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 5.3918 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9989 loss: 0.9989 2022/06/30 05:21:29 - mmengine - INFO - Epoch(train) [50][1280/3757] lr: 1.000e-03 eta: 14:32:03 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 6.7897 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1311 loss: 1.1311 2022/06/30 05:21:34 - mmengine - INFO - Epoch(train) [50][1300/3757] lr: 1.000e-03 eta: 14:31:57 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 6.8009 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5204 loss: 1.5204 2022/06/30 05:21:39 - mmengine - INFO - Epoch(train) [50][1320/3757] lr: 1.000e-03 eta: 14:31:51 time: 0.253 data_time: 0.016 memory: 6404 grad_norm: 6.4770 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9391 loss: 0.9391 2022/06/30 05:21:45 - mmengine - INFO - Epoch(train) [50][1340/3757] lr: 1.000e-03 eta: 14:31:46 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 6.4005 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5491 loss: 1.5491 2022/06/30 05:21:50 - mmengine - INFO - Epoch(train) [50][1360/3757] lr: 1.000e-03 eta: 14:31:40 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 6.4273 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4953 loss: 1.4953 2022/06/30 05:21:55 - mmengine - INFO - Epoch(train) [50][1380/3757] lr: 1.000e-03 eta: 14:31:34 time: 0.240 data_time: 0.015 memory: 6404 grad_norm: 5.3501 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4731 loss: 1.4731 2022/06/30 05:22:01 - mmengine - INFO - Epoch(train) [50][1400/3757] lr: 1.000e-03 eta: 14:31:29 time: 0.271 data_time: 0.007 memory: 6404 grad_norm: 5.3883 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3477 loss: 1.3477 2022/06/30 05:22:06 - mmengine - INFO - Epoch(train) [50][1420/3757] lr: 1.000e-03 eta: 14:31:23 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 7.0803 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6259 loss: 1.6259 2022/06/30 05:22:12 - mmengine - INFO - Epoch(train) [50][1440/3757] lr: 1.000e-03 eta: 14:31:18 time: 0.265 data_time: 0.010 memory: 6404 grad_norm: 6.4472 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5337 loss: 1.5337 2022/06/30 05:22:18 - mmengine - INFO - Epoch(train) [50][1460/3757] lr: 1.000e-03 eta: 14:31:13 time: 0.772 data_time: 0.007 memory: 6404 grad_norm: 6.8516 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5212 loss: 1.5212 2022/06/30 05:22:23 - mmengine - INFO - Epoch(train) [50][1480/3757] lr: 1.000e-03 eta: 14:31:07 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.4046 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3145 loss: 1.3145 2022/06/30 05:22:28 - mmengine - INFO - Epoch(train) [50][1500/3757] lr: 1.000e-03 eta: 14:31:01 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 5.4830 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3000 loss: 1.3000 2022/06/30 05:22:34 - mmengine - INFO - Epoch(train) [50][1520/3757] lr: 1.000e-03 eta: 14:30:56 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.6813 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1449 loss: 1.1449 2022/06/30 05:22:40 - mmengine - INFO - Epoch(train) [50][1540/3757] lr: 1.000e-03 eta: 14:30:51 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 6.8259 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0755 loss: 1.0755 2022/06/30 05:22:46 - mmengine - INFO - Epoch(train) [50][1560/3757] lr: 1.000e-03 eta: 14:30:45 time: 0.271 data_time: 0.007 memory: 6404 grad_norm: 6.9019 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7576 loss: 1.7576 2022/06/30 05:22:51 - mmengine - INFO - Epoch(train) [50][1580/3757] lr: 1.000e-03 eta: 14:30:40 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 6.1490 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3527 loss: 1.3527 2022/06/30 05:22:57 - mmengine - INFO - Epoch(train) [50][1600/3757] lr: 1.000e-03 eta: 14:30:34 time: 0.272 data_time: 0.006 memory: 6404 grad_norm: 5.7644 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9985 loss: 0.9985 2022/06/30 05:23:02 - mmengine - INFO - Epoch(train) [50][1620/3757] lr: 1.000e-03 eta: 14:30:28 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.9157 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1297 loss: 1.1297 2022/06/30 05:23:07 - mmengine - INFO - Epoch(train) [50][1640/3757] lr: 1.000e-03 eta: 14:30:23 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 7.5064 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3083 loss: 1.3083 2022/06/30 05:23:13 - mmengine - INFO - Epoch(train) [50][1660/3757] lr: 1.000e-03 eta: 14:30:17 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 5.3389 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.3484 loss: 1.3484 2022/06/30 05:23:19 - mmengine - INFO - Epoch(train) [50][1680/3757] lr: 1.000e-03 eta: 14:30:12 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.1099 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1700 loss: 1.1700 2022/06/30 05:23:24 - mmengine - INFO - Epoch(train) [50][1700/3757] lr: 1.000e-03 eta: 14:30:07 time: 0.286 data_time: 0.008 memory: 6404 grad_norm: 7.7058 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2911 loss: 1.2911 2022/06/30 05:23:29 - mmengine - INFO - Epoch(train) [50][1720/3757] lr: 1.000e-03 eta: 14:30:01 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 6.8767 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8568 loss: 0.8568 2022/06/30 05:23:35 - mmengine - INFO - Epoch(train) [50][1740/3757] lr: 1.000e-03 eta: 14:29:55 time: 0.246 data_time: 0.021 memory: 6404 grad_norm: 6.7274 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4471 loss: 1.4471 2022/06/30 05:23:40 - mmengine - INFO - Epoch(train) [50][1760/3757] lr: 1.000e-03 eta: 14:29:50 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 8.3593 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5333 loss: 1.5333 2022/06/30 05:23:46 - mmengine - INFO - Epoch(train) [50][1780/3757] lr: 1.000e-03 eta: 14:29:44 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 5.3414 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0776 loss: 1.0776 2022/06/30 05:23:51 - mmengine - INFO - Epoch(train) [50][1800/3757] lr: 1.000e-03 eta: 14:29:39 time: 0.258 data_time: 0.020 memory: 6404 grad_norm: 5.3981 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0412 loss: 1.0412 2022/06/30 05:23:57 - mmengine - INFO - Epoch(train) [50][1820/3757] lr: 1.000e-03 eta: 14:29:34 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 7.7074 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4685 loss: 1.4685 2022/06/30 05:24:03 - mmengine - INFO - Epoch(train) [50][1840/3757] lr: 1.000e-03 eta: 14:29:28 time: 0.280 data_time: 0.007 memory: 6404 grad_norm: 6.3764 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9156 loss: 0.9156 2022/06/30 05:24:08 - mmengine - INFO - Epoch(train) [50][1860/3757] lr: 1.000e-03 eta: 14:29:22 time: 0.262 data_time: 0.017 memory: 6404 grad_norm: 6.0713 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8541 loss: 0.8541 2022/06/30 05:24:13 - mmengine - INFO - Epoch(train) [50][1880/3757] lr: 1.000e-03 eta: 14:29:17 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.5926 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1298 loss: 1.1298 2022/06/30 05:24:18 - mmengine - INFO - Epoch(train) [50][1900/3757] lr: 1.000e-03 eta: 14:29:11 time: 0.353 data_time: 0.006 memory: 6404 grad_norm: 5.6130 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5887 loss: 1.5887 2022/06/30 05:24:20 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 05:24:24 - mmengine - INFO - Epoch(train) [50][1920/3757] lr: 1.000e-03 eta: 14:29:05 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 4.7382 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2887 loss: 1.2887 2022/06/30 05:24:29 - mmengine - INFO - Epoch(train) [50][1940/3757] lr: 1.000e-03 eta: 14:29:00 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.6527 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1119 loss: 1.1119 2022/06/30 05:24:35 - mmengine - INFO - Epoch(train) [50][1960/3757] lr: 1.000e-03 eta: 14:28:55 time: 0.278 data_time: 0.015 memory: 6404 grad_norm: 7.0925 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3037 loss: 1.3037 2022/06/30 05:24:40 - mmengine - INFO - Epoch(train) [50][1980/3757] lr: 1.000e-03 eta: 14:28:49 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 7.5086 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2929 loss: 1.2929 2022/06/30 05:24:46 - mmengine - INFO - Epoch(train) [50][2000/3757] lr: 1.000e-03 eta: 14:28:43 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 7.9615 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9090 loss: 1.9090 2022/06/30 05:24:52 - mmengine - INFO - Epoch(train) [50][2020/3757] lr: 1.000e-03 eta: 14:28:38 time: 0.664 data_time: 0.006 memory: 6404 grad_norm: 6.3313 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3950 loss: 1.3950 2022/06/30 05:24:57 - mmengine - INFO - Epoch(train) [50][2040/3757] lr: 1.000e-03 eta: 14:28:33 time: 0.458 data_time: 0.007 memory: 6404 grad_norm: 6.4270 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2454 loss: 1.2454 2022/06/30 05:25:03 - mmengine - INFO - Epoch(train) [50][2060/3757] lr: 1.000e-03 eta: 14:28:27 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 7.1771 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1026 loss: 1.1026 2022/06/30 05:25:09 - mmengine - INFO - Epoch(train) [50][2080/3757] lr: 1.000e-03 eta: 14:28:22 time: 0.260 data_time: 0.015 memory: 6404 grad_norm: 7.4753 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1516 loss: 1.1516 2022/06/30 05:25:14 - mmengine - INFO - Epoch(train) [50][2100/3757] lr: 1.000e-03 eta: 14:28:17 time: 0.283 data_time: 0.007 memory: 6404 grad_norm: 6.2374 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6964 loss: 1.6964 2022/06/30 05:25:20 - mmengine - INFO - Epoch(train) [50][2120/3757] lr: 1.000e-03 eta: 14:28:11 time: 0.265 data_time: 0.010 memory: 6404 grad_norm: 7.9169 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4079 loss: 1.4079 2022/06/30 05:25:25 - mmengine - INFO - Epoch(train) [50][2140/3757] lr: 1.000e-03 eta: 14:28:06 time: 0.276 data_time: 0.010 memory: 6404 grad_norm: 6.5856 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0854 loss: 1.0854 2022/06/30 05:25:31 - mmengine - INFO - Epoch(train) [50][2160/3757] lr: 1.000e-03 eta: 14:28:00 time: 0.285 data_time: 0.006 memory: 6404 grad_norm: 5.5780 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5530 loss: 1.5530 2022/06/30 05:25:36 - mmengine - INFO - Epoch(train) [50][2180/3757] lr: 1.000e-03 eta: 14:27:54 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.3639 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5397 loss: 1.5397 2022/06/30 05:25:41 - mmengine - INFO - Epoch(train) [50][2200/3757] lr: 1.000e-03 eta: 14:27:48 time: 0.254 data_time: 0.020 memory: 6404 grad_norm: 7.1707 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4147 loss: 1.4147 2022/06/30 05:25:46 - mmengine - INFO - Epoch(train) [50][2220/3757] lr: 1.000e-03 eta: 14:27:43 time: 0.328 data_time: 0.019 memory: 6404 grad_norm: 7.6650 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6060 loss: 1.6060 2022/06/30 05:25:52 - mmengine - INFO - Epoch(train) [50][2240/3757] lr: 1.000e-03 eta: 14:27:37 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.9347 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1310 loss: 1.1310 2022/06/30 05:25:58 - mmengine - INFO - Epoch(train) [50][2260/3757] lr: 1.000e-03 eta: 14:27:32 time: 0.284 data_time: 0.006 memory: 6404 grad_norm: 6.6667 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3908 loss: 1.3908 2022/06/30 05:26:03 - mmengine - INFO - Epoch(train) [50][2280/3757] lr: 1.000e-03 eta: 14:27:26 time: 0.277 data_time: 0.057 memory: 6404 grad_norm: 6.3717 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2082 loss: 1.2082 2022/06/30 05:26:08 - mmengine - INFO - Epoch(train) [50][2300/3757] lr: 1.000e-03 eta: 14:27:21 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.3265 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3621 loss: 1.3621 2022/06/30 05:26:14 - mmengine - INFO - Epoch(train) [50][2320/3757] lr: 1.000e-03 eta: 14:27:15 time: 0.471 data_time: 0.254 memory: 6404 grad_norm: 6.5957 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3977 loss: 1.3977 2022/06/30 05:26:19 - mmengine - INFO - Epoch(train) [50][2340/3757] lr: 1.000e-03 eta: 14:27:10 time: 0.380 data_time: 0.013 memory: 6404 grad_norm: 5.9355 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2976 loss: 1.2976 2022/06/30 05:26:25 - mmengine - INFO - Epoch(train) [50][2360/3757] lr: 1.000e-03 eta: 14:27:05 time: 0.270 data_time: 0.007 memory: 6404 grad_norm: 6.8789 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1751 loss: 1.1751 2022/06/30 05:26:30 - mmengine - INFO - Epoch(train) [50][2380/3757] lr: 1.000e-03 eta: 14:26:59 time: 0.300 data_time: 0.052 memory: 6404 grad_norm: 6.6900 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0717 loss: 1.0717 2022/06/30 05:26:36 - mmengine - INFO - Epoch(train) [50][2400/3757] lr: 1.000e-03 eta: 14:26:53 time: 0.512 data_time: 0.013 memory: 6404 grad_norm: 7.3578 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4828 loss: 1.4828 2022/06/30 05:26:42 - mmengine - INFO - Epoch(train) [50][2420/3757] lr: 1.000e-03 eta: 14:26:48 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.9158 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4798 loss: 1.4798 2022/06/30 05:26:47 - mmengine - INFO - Epoch(train) [50][2440/3757] lr: 1.000e-03 eta: 14:26:43 time: 0.261 data_time: 0.020 memory: 6404 grad_norm: 5.4661 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0617 loss: 1.0617 2022/06/30 05:26:53 - mmengine - INFO - Epoch(train) [50][2460/3757] lr: 1.000e-03 eta: 14:26:37 time: 0.297 data_time: 0.033 memory: 6404 grad_norm: 7.7922 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1409 loss: 1.1409 2022/06/30 05:26:58 - mmengine - INFO - Epoch(train) [50][2480/3757] lr: 1.000e-03 eta: 14:26:31 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.2525 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0939 loss: 1.0939 2022/06/30 05:27:04 - mmengine - INFO - Epoch(train) [50][2500/3757] lr: 1.000e-03 eta: 14:26:26 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 7.0957 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8656 loss: 0.8656 2022/06/30 05:27:09 - mmengine - INFO - Epoch(train) [50][2520/3757] lr: 1.000e-03 eta: 14:26:20 time: 0.324 data_time: 0.011 memory: 6404 grad_norm: 6.5407 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1144 loss: 1.1144 2022/06/30 05:27:16 - mmengine - INFO - Epoch(train) [50][2540/3757] lr: 1.000e-03 eta: 14:26:16 time: 0.266 data_time: 0.008 memory: 6404 grad_norm: 6.6936 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3340 loss: 1.3340 2022/06/30 05:27:21 - mmengine - INFO - Epoch(train) [50][2560/3757] lr: 1.000e-03 eta: 14:26:10 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.8082 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1390 loss: 1.1390 2022/06/30 05:27:26 - mmengine - INFO - Epoch(train) [50][2580/3757] lr: 1.000e-03 eta: 14:26:04 time: 0.322 data_time: 0.007 memory: 6404 grad_norm: 6.1290 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3877 loss: 1.3877 2022/06/30 05:27:32 - mmengine - INFO - Epoch(train) [50][2600/3757] lr: 1.000e-03 eta: 14:25:59 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 5.5460 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7942 loss: 1.7942 2022/06/30 05:27:37 - mmengine - INFO - Epoch(train) [50][2620/3757] lr: 1.000e-03 eta: 14:25:53 time: 0.269 data_time: 0.006 memory: 6404 grad_norm: 6.4758 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7072 loss: 0.7072 2022/06/30 05:27:42 - mmengine - INFO - Epoch(train) [50][2640/3757] lr: 1.000e-03 eta: 14:25:47 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 6.0748 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3071 loss: 1.3071 2022/06/30 05:27:48 - mmengine - INFO - Epoch(train) [50][2660/3757] lr: 1.000e-03 eta: 14:25:42 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.6373 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4040 loss: 1.4040 2022/06/30 05:27:53 - mmengine - INFO - Epoch(train) [50][2680/3757] lr: 1.000e-03 eta: 14:25:36 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.3930 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5978 loss: 1.5978 2022/06/30 05:27:59 - mmengine - INFO - Epoch(train) [50][2700/3757] lr: 1.000e-03 eta: 14:25:31 time: 0.609 data_time: 0.006 memory: 6404 grad_norm: 7.4221 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3957 loss: 1.3957 2022/06/30 05:28:04 - mmengine - INFO - Epoch(train) [50][2720/3757] lr: 1.000e-03 eta: 14:25:26 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.3781 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1532 loss: 1.1532 2022/06/30 05:28:10 - mmengine - INFO - Epoch(train) [50][2740/3757] lr: 1.000e-03 eta: 14:25:20 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 6.0470 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3112 loss: 1.3112 2022/06/30 05:28:15 - mmengine - INFO - Epoch(train) [50][2760/3757] lr: 1.000e-03 eta: 14:25:15 time: 0.378 data_time: 0.007 memory: 6404 grad_norm: 7.4767 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1290 loss: 1.1290 2022/06/30 05:28:21 - mmengine - INFO - Epoch(train) [50][2780/3757] lr: 1.000e-03 eta: 14:25:09 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 6.5355 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3397 loss: 1.3397 2022/06/30 05:28:26 - mmengine - INFO - Epoch(train) [50][2800/3757] lr: 1.000e-03 eta: 14:25:03 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.4051 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.4210 loss: 1.4210 2022/06/30 05:28:31 - mmengine - INFO - Epoch(train) [50][2820/3757] lr: 1.000e-03 eta: 14:24:57 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 7.4195 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1730 loss: 1.1730 2022/06/30 05:28:37 - mmengine - INFO - Epoch(train) [50][2840/3757] lr: 1.000e-03 eta: 14:24:52 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 6.1790 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0468 loss: 1.0468 2022/06/30 05:28:42 - mmengine - INFO - Epoch(train) [50][2860/3757] lr: 1.000e-03 eta: 14:24:46 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.6012 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5439 loss: 1.5439 2022/06/30 05:28:48 - mmengine - INFO - Epoch(train) [50][2880/3757] lr: 1.000e-03 eta: 14:24:41 time: 0.323 data_time: 0.010 memory: 6404 grad_norm: 7.4230 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3208 loss: 1.3208 2022/06/30 05:28:54 - mmengine - INFO - Epoch(train) [50][2900/3757] lr: 1.000e-03 eta: 14:24:36 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.2215 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1887 loss: 1.1887 2022/06/30 05:28:56 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 05:28:59 - mmengine - INFO - Epoch(train) [50][2920/3757] lr: 1.000e-03 eta: 14:24:30 time: 0.263 data_time: 0.006 memory: 6404 grad_norm: 6.1345 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9068 loss: 0.9068 2022/06/30 05:29:05 - mmengine - INFO - Epoch(train) [50][2940/3757] lr: 1.000e-03 eta: 14:24:25 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 6.8025 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1735 loss: 1.1735 2022/06/30 05:29:11 - mmengine - INFO - Epoch(train) [50][2960/3757] lr: 1.000e-03 eta: 14:24:20 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 5.8694 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2955 loss: 1.2955 2022/06/30 05:29:16 - mmengine - INFO - Epoch(train) [50][2980/3757] lr: 1.000e-03 eta: 14:24:14 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 6.4886 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2608 loss: 1.2608 2022/06/30 05:29:22 - mmengine - INFO - Epoch(train) [50][3000/3757] lr: 1.000e-03 eta: 14:24:09 time: 0.242 data_time: 0.017 memory: 6404 grad_norm: 6.2237 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2850 loss: 1.2850 2022/06/30 05:29:27 - mmengine - INFO - Epoch(train) [50][3020/3757] lr: 1.000e-03 eta: 14:24:03 time: 0.248 data_time: 0.015 memory: 6404 grad_norm: 6.0998 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3719 loss: 1.3719 2022/06/30 05:29:32 - mmengine - INFO - Epoch(train) [50][3040/3757] lr: 1.000e-03 eta: 14:23:57 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 7.3576 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5147 loss: 1.5147 2022/06/30 05:29:37 - mmengine - INFO - Epoch(train) [50][3060/3757] lr: 1.000e-03 eta: 14:23:51 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.6868 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3064 loss: 1.3064 2022/06/30 05:29:43 - mmengine - INFO - Epoch(train) [50][3080/3757] lr: 1.000e-03 eta: 14:23:46 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 5.7680 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5010 loss: 1.5010 2022/06/30 05:29:48 - mmengine - INFO - Epoch(train) [50][3100/3757] lr: 1.000e-03 eta: 14:23:40 time: 0.249 data_time: 0.023 memory: 6404 grad_norm: 7.1278 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1666 loss: 1.1666 2022/06/30 05:29:54 - mmengine - INFO - Epoch(train) [50][3120/3757] lr: 1.000e-03 eta: 14:23:35 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.3135 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6140 loss: 1.6140 2022/06/30 05:29:59 - mmengine - INFO - Epoch(train) [50][3140/3757] lr: 1.000e-03 eta: 14:23:29 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.9371 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2087 loss: 1.2087 2022/06/30 05:30:05 - mmengine - INFO - Epoch(train) [50][3160/3757] lr: 1.000e-03 eta: 14:23:24 time: 0.248 data_time: 0.016 memory: 6404 grad_norm: 6.2571 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2324 loss: 1.2324 2022/06/30 05:30:10 - mmengine - INFO - Epoch(train) [50][3180/3757] lr: 1.000e-03 eta: 14:23:18 time: 0.271 data_time: 0.007 memory: 6404 grad_norm: 5.9549 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3158 loss: 1.3158 2022/06/30 05:30:16 - mmengine - INFO - Epoch(train) [50][3200/3757] lr: 1.000e-03 eta: 14:23:13 time: 0.609 data_time: 0.007 memory: 6404 grad_norm: 7.4559 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4559 loss: 1.4559 2022/06/30 05:30:21 - mmengine - INFO - Epoch(train) [50][3220/3757] lr: 1.000e-03 eta: 14:23:07 time: 0.258 data_time: 0.019 memory: 6404 grad_norm: 6.1061 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5172 loss: 1.5172 2022/06/30 05:30:27 - mmengine - INFO - Epoch(train) [50][3240/3757] lr: 1.000e-03 eta: 14:23:02 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 7.3126 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8038 loss: 1.8038 2022/06/30 05:30:33 - mmengine - INFO - Epoch(train) [50][3260/3757] lr: 1.000e-03 eta: 14:22:57 time: 0.259 data_time: 0.013 memory: 6404 grad_norm: 5.2633 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0761 loss: 1.0761 2022/06/30 05:30:38 - mmengine - INFO - Epoch(train) [50][3280/3757] lr: 1.000e-03 eta: 14:22:51 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 7.1889 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1587 loss: 1.1587 2022/06/30 05:30:44 - mmengine - INFO - Epoch(train) [50][3300/3757] lr: 1.000e-03 eta: 14:22:46 time: 0.524 data_time: 0.007 memory: 6404 grad_norm: 7.6434 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3419 loss: 1.3419 2022/06/30 05:30:49 - mmengine - INFO - Epoch(train) [50][3320/3757] lr: 1.000e-03 eta: 14:22:40 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.8237 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3251 loss: 1.3251 2022/06/30 05:30:55 - mmengine - INFO - Epoch(train) [50][3340/3757] lr: 1.000e-03 eta: 14:22:35 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 6.7429 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4031 loss: 1.4031 2022/06/30 05:31:00 - mmengine - INFO - Epoch(train) [50][3360/3757] lr: 1.000e-03 eta: 14:22:29 time: 0.593 data_time: 0.007 memory: 6404 grad_norm: 6.7605 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6604 loss: 1.6604 2022/06/30 05:31:06 - mmengine - INFO - Epoch(train) [50][3380/3757] lr: 1.000e-03 eta: 14:22:23 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.9130 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3383 loss: 1.3383 2022/06/30 05:31:11 - mmengine - INFO - Epoch(train) [50][3400/3757] lr: 1.000e-03 eta: 14:22:18 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 7.1533 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1822 loss: 1.1822 2022/06/30 05:31:17 - mmengine - INFO - Epoch(train) [50][3420/3757] lr: 1.000e-03 eta: 14:22:12 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 5.6376 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3604 loss: 1.3604 2022/06/30 05:31:22 - mmengine - INFO - Epoch(train) [50][3440/3757] lr: 1.000e-03 eta: 14:22:07 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 6.3106 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4948 loss: 1.4948 2022/06/30 05:31:28 - mmengine - INFO - Epoch(train) [50][3460/3757] lr: 1.000e-03 eta: 14:22:01 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.7161 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7801 loss: 1.7801 2022/06/30 05:31:33 - mmengine - INFO - Epoch(train) [50][3480/3757] lr: 1.000e-03 eta: 14:21:56 time: 0.296 data_time: 0.007 memory: 6404 grad_norm: 5.9794 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1584 loss: 1.1584 2022/06/30 05:31:38 - mmengine - INFO - Epoch(train) [50][3500/3757] lr: 1.000e-03 eta: 14:21:50 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 6.8433 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3322 loss: 1.3322 2022/06/30 05:31:45 - mmengine - INFO - Epoch(train) [50][3520/3757] lr: 1.000e-03 eta: 14:21:45 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 5.9605 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2423 loss: 1.2423 2022/06/30 05:31:50 - mmengine - INFO - Epoch(train) [50][3540/3757] lr: 1.000e-03 eta: 14:21:40 time: 0.279 data_time: 0.007 memory: 6404 grad_norm: 5.5570 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4582 loss: 1.4582 2022/06/30 05:31:56 - mmengine - INFO - Epoch(train) [50][3560/3757] lr: 1.000e-03 eta: 14:21:34 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.7282 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6949 loss: 1.6949 2022/06/30 05:32:01 - mmengine - INFO - Epoch(train) [50][3580/3757] lr: 1.000e-03 eta: 14:21:29 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.7768 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4583 loss: 1.4583 2022/06/30 05:32:06 - mmengine - INFO - Epoch(train) [50][3600/3757] lr: 1.000e-03 eta: 14:21:23 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 6.3993 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1763 loss: 1.1763 2022/06/30 05:32:12 - mmengine - INFO - Epoch(train) [50][3620/3757] lr: 1.000e-03 eta: 14:21:17 time: 0.238 data_time: 0.008 memory: 6404 grad_norm: 5.7494 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5017 loss: 1.5017 2022/06/30 05:32:18 - mmengine - INFO - Epoch(train) [50][3640/3757] lr: 1.000e-03 eta: 14:21:13 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.0811 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4283 loss: 1.4283 2022/06/30 05:32:23 - mmengine - INFO - Epoch(train) [50][3660/3757] lr: 1.000e-03 eta: 14:21:07 time: 0.333 data_time: 0.006 memory: 6404 grad_norm: 7.5859 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2751 loss: 1.2751 2022/06/30 05:32:28 - mmengine - INFO - Epoch(train) [50][3680/3757] lr: 1.000e-03 eta: 14:21:01 time: 0.237 data_time: 0.010 memory: 6404 grad_norm: 6.1302 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8401 loss: 0.8401 2022/06/30 05:32:34 - mmengine - INFO - Epoch(train) [50][3700/3757] lr: 1.000e-03 eta: 14:20:55 time: 0.266 data_time: 0.006 memory: 6404 grad_norm: 6.3596 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0683 loss: 1.0683 2022/06/30 05:32:39 - mmengine - INFO - Epoch(train) [50][3720/3757] lr: 1.000e-03 eta: 14:20:50 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 5.3176 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3577 loss: 1.3577 2022/06/30 05:32:45 - mmengine - INFO - Epoch(train) [50][3740/3757] lr: 1.000e-03 eta: 14:20:44 time: 0.265 data_time: 0.014 memory: 6404 grad_norm: 6.9401 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3973 loss: 1.3973 2022/06/30 05:32:49 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 05:32:49 - mmengine - INFO - Saving checkpoint at 50 epochs 2022/06/30 05:33:00 - mmengine - INFO - Epoch(val) [50][20/310] eta: 0:01:31 time: 0.077 data_time: 0.005 memory: 6404 2022/06/30 05:33:05 - mmengine - INFO - Epoch(val) [50][40/310] eta: 0:01:19 time: 0.204 data_time: 0.126 memory: 1479 2022/06/30 05:33:09 - mmengine - INFO - Epoch(val) [50][60/310] eta: 0:00:20 time: 0.079 data_time: 0.006 memory: 1479 2022/06/30 05:33:16 - mmengine - INFO - Epoch(val) [50][80/310] eta: 0:01:08 time: 0.079 data_time: 0.005 memory: 1479 2022/06/30 05:33:22 - mmengine - INFO - Epoch(val) [50][100/310] eta: 0:01:02 time: 0.942 data_time: 0.857 memory: 1479 2022/06/30 05:33:25 - mmengine - INFO - Epoch(val) [50][120/310] eta: 0:00:26 time: 0.080 data_time: 0.006 memory: 1479 2022/06/30 05:33:32 - mmengine - INFO - Epoch(val) [50][140/310] eta: 0:00:53 time: 0.083 data_time: 0.007 memory: 1479 2022/06/30 05:33:38 - mmengine - INFO - Epoch(val) [50][160/310] eta: 0:00:47 time: 1.734 data_time: 1.650 memory: 1479 2022/06/30 05:33:42 - mmengine - INFO - Epoch(val) [50][180/310] eta: 0:00:41 time: 0.086 data_time: 0.011 memory: 1479 2022/06/30 05:33:48 - mmengine - INFO - Epoch(val) [50][200/310] eta: 0:00:33 time: 0.080 data_time: 0.005 memory: 1479 2022/06/30 05:33:53 - mmengine - INFO - Epoch(val) [50][220/310] eta: 0:00:27 time: 0.949 data_time: 0.857 memory: 1479 2022/06/30 05:33:57 - mmengine - INFO - Epoch(val) [50][240/310] eta: 0:00:20 time: 0.085 data_time: 0.007 memory: 1479 2022/06/30 05:34:03 - mmengine - INFO - Epoch(val) [50][260/310] eta: 0:00:16 time: 0.082 data_time: 0.005 memory: 1479 2022/06/30 05:34:09 - mmengine - INFO - Epoch(val) [50][280/310] eta: 0:00:07 time: 0.679 data_time: 0.597 memory: 1479 2022/06/30 05:34:11 - mmengine - INFO - Epoch(val) [50][300/310] eta: 0:00:01 time: 0.077 data_time: 0.005 memory: 1479 2022/06/30 05:34:13 - mmengine - INFO - Epoch(val) [50][310/310] acc/top1: 0.6589 acc/top5: 0.8644 acc/mean1: 0.6588 2022/06/30 05:34:22 - mmengine - INFO - Epoch(train) [51][20/3757] lr: 1.000e-03 eta: 14:20:35 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 6.6328 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2549 loss: 1.2549 2022/06/30 05:34:28 - mmengine - INFO - Epoch(train) [51][40/3757] lr: 1.000e-03 eta: 14:20:30 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.2362 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5816 loss: 1.5816 2022/06/30 05:34:33 - mmengine - INFO - Epoch(train) [51][60/3757] lr: 1.000e-03 eta: 14:20:24 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 5.5892 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0248 loss: 1.0248 2022/06/30 05:34:39 - mmengine - INFO - Epoch(train) [51][80/3757] lr: 1.000e-03 eta: 14:20:19 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 6.3697 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9818 loss: 0.9818 2022/06/30 05:34:44 - mmengine - INFO - Epoch(train) [51][100/3757] lr: 1.000e-03 eta: 14:20:14 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.0870 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5069 loss: 1.5069 2022/06/30 05:34:49 - mmengine - INFO - Epoch(train) [51][120/3757] lr: 1.000e-03 eta: 14:20:08 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.7518 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0366 loss: 1.0366 2022/06/30 05:34:55 - mmengine - INFO - Epoch(train) [51][140/3757] lr: 1.000e-03 eta: 14:20:02 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.8860 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0194 loss: 1.0194 2022/06/30 05:34:58 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 05:35:00 - mmengine - INFO - Epoch(train) [51][160/3757] lr: 1.000e-03 eta: 14:19:57 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 5.5384 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5136 loss: 1.5136 2022/06/30 05:35:06 - mmengine - INFO - Epoch(train) [51][180/3757] lr: 1.000e-03 eta: 14:19:51 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 5.4663 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6301 loss: 1.6301 2022/06/30 05:35:12 - mmengine - INFO - Epoch(train) [51][200/3757] lr: 1.000e-03 eta: 14:19:46 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 7.3521 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6028 loss: 1.6028 2022/06/30 05:35:18 - mmengine - INFO - Epoch(train) [51][220/3757] lr: 1.000e-03 eta: 14:19:42 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.7309 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4506 loss: 1.4506 2022/06/30 05:35:23 - mmengine - INFO - Epoch(train) [51][240/3757] lr: 1.000e-03 eta: 14:19:36 time: 0.317 data_time: 0.012 memory: 6404 grad_norm: 6.6000 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1686 loss: 1.1686 2022/06/30 05:35:29 - mmengine - INFO - Epoch(train) [51][260/3757] lr: 1.000e-03 eta: 14:19:30 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.7959 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1831 loss: 1.1831 2022/06/30 05:35:34 - mmengine - INFO - Epoch(train) [51][280/3757] lr: 1.000e-03 eta: 14:19:24 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 6.1320 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4065 loss: 1.4065 2022/06/30 05:35:39 - mmengine - INFO - Epoch(train) [51][300/3757] lr: 1.000e-03 eta: 14:19:18 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 6.2107 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0368 loss: 1.0368 2022/06/30 05:35:44 - mmengine - INFO - Epoch(train) [51][320/3757] lr: 1.000e-03 eta: 14:19:13 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.4736 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3635 loss: 1.3635 2022/06/30 05:35:50 - mmengine - INFO - Epoch(train) [51][340/3757] lr: 1.000e-03 eta: 14:19:07 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 6.5343 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1495 loss: 1.1495 2022/06/30 05:35:55 - mmengine - INFO - Epoch(train) [51][360/3757] lr: 1.000e-03 eta: 14:19:01 time: 0.272 data_time: 0.007 memory: 6404 grad_norm: 6.3379 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0976 loss: 1.0976 2022/06/30 05:36:01 - mmengine - INFO - Epoch(train) [51][380/3757] lr: 1.000e-03 eta: 14:18:56 time: 0.271 data_time: 0.007 memory: 6404 grad_norm: 7.3326 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4742 loss: 1.4742 2022/06/30 05:36:07 - mmengine - INFO - Epoch(train) [51][400/3757] lr: 1.000e-03 eta: 14:18:51 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 7.1123 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3421 loss: 1.3421 2022/06/30 05:36:12 - mmengine - INFO - Epoch(train) [51][420/3757] lr: 1.000e-03 eta: 14:18:45 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 6.5339 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4529 loss: 1.4529 2022/06/30 05:36:17 - mmengine - INFO - Epoch(train) [51][440/3757] lr: 1.000e-03 eta: 14:18:39 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 5.8801 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3368 loss: 1.3368 2022/06/30 05:36:23 - mmengine - INFO - Epoch(train) [51][460/3757] lr: 1.000e-03 eta: 14:18:34 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 5.3232 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9584 loss: 0.9584 2022/06/30 05:36:29 - mmengine - INFO - Epoch(train) [51][480/3757] lr: 1.000e-03 eta: 14:18:29 time: 0.266 data_time: 0.008 memory: 6404 grad_norm: 6.3912 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5307 loss: 1.5307 2022/06/30 05:36:35 - mmengine - INFO - Epoch(train) [51][500/3757] lr: 1.000e-03 eta: 14:18:24 time: 0.374 data_time: 0.010 memory: 6404 grad_norm: 6.0985 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8715 loss: 0.8715 2022/06/30 05:36:40 - mmengine - INFO - Epoch(train) [51][520/3757] lr: 1.000e-03 eta: 14:18:18 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 7.0773 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3372 loss: 1.3372 2022/06/30 05:36:46 - mmengine - INFO - Epoch(train) [51][540/3757] lr: 1.000e-03 eta: 14:18:13 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 6.2362 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0721 loss: 1.0721 2022/06/30 05:36:51 - mmengine - INFO - Epoch(train) [51][560/3757] lr: 1.000e-03 eta: 14:18:07 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 7.9050 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4117 loss: 1.4117 2022/06/30 05:36:56 - mmengine - INFO - Epoch(train) [51][580/3757] lr: 1.000e-03 eta: 14:18:02 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.4055 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5507 loss: 1.5507 2022/06/30 05:37:02 - mmengine - INFO - Epoch(train) [51][600/3757] lr: 1.000e-03 eta: 14:17:56 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 7.5214 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4090 loss: 1.4090 2022/06/30 05:37:08 - mmengine - INFO - Epoch(train) [51][620/3757] lr: 1.000e-03 eta: 14:17:51 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 6.3039 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5206 loss: 1.5206 2022/06/30 05:37:13 - mmengine - INFO - Epoch(train) [51][640/3757] lr: 1.000e-03 eta: 14:17:46 time: 0.294 data_time: 0.007 memory: 6404 grad_norm: 5.4924 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1315 loss: 1.1315 2022/06/30 05:37:19 - mmengine - INFO - Epoch(train) [51][660/3757] lr: 1.000e-03 eta: 14:17:40 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 5.9094 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0026 loss: 1.0026 2022/06/30 05:37:24 - mmengine - INFO - Epoch(train) [51][680/3757] lr: 1.000e-03 eta: 14:17:34 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 6.3329 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3818 loss: 1.3818 2022/06/30 05:37:29 - mmengine - INFO - Epoch(train) [51][700/3757] lr: 1.000e-03 eta: 14:17:28 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 7.2753 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3439 loss: 1.3439 2022/06/30 05:37:35 - mmengine - INFO - Epoch(train) [51][720/3757] lr: 1.000e-03 eta: 14:17:23 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 5.5323 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5442 loss: 1.5442 2022/06/30 05:37:40 - mmengine - INFO - Epoch(train) [51][740/3757] lr: 1.000e-03 eta: 14:17:17 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 6.2026 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6329 loss: 1.6329 2022/06/30 05:37:45 - mmengine - INFO - Epoch(train) [51][760/3757] lr: 1.000e-03 eta: 14:17:11 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.1889 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9969 loss: 0.9969 2022/06/30 05:37:51 - mmengine - INFO - Epoch(train) [51][780/3757] lr: 1.000e-03 eta: 14:17:06 time: 0.251 data_time: 0.017 memory: 6404 grad_norm: 6.6041 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2273 loss: 1.2273 2022/06/30 05:37:56 - mmengine - INFO - Epoch(train) [51][800/3757] lr: 1.000e-03 eta: 14:17:00 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 6.0514 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4967 loss: 1.4967 2022/06/30 05:38:02 - mmengine - INFO - Epoch(train) [51][820/3757] lr: 1.000e-03 eta: 14:16:55 time: 0.249 data_time: 0.020 memory: 6404 grad_norm: 6.8927 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6240 loss: 1.6240 2022/06/30 05:38:08 - mmengine - INFO - Epoch(train) [51][840/3757] lr: 1.000e-03 eta: 14:16:50 time: 0.249 data_time: 0.027 memory: 6404 grad_norm: 4.8705 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2124 loss: 1.2124 2022/06/30 05:38:13 - mmengine - INFO - Epoch(train) [51][860/3757] lr: 1.000e-03 eta: 14:16:44 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 6.6720 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3400 loss: 1.3400 2022/06/30 05:38:19 - mmengine - INFO - Epoch(train) [51][880/3757] lr: 1.000e-03 eta: 14:16:39 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.4387 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3571 loss: 1.3571 2022/06/30 05:38:25 - mmengine - INFO - Epoch(train) [51][900/3757] lr: 1.000e-03 eta: 14:16:34 time: 0.261 data_time: 0.074 memory: 6404 grad_norm: 6.5234 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3128 loss: 1.3128 2022/06/30 05:38:30 - mmengine - INFO - Epoch(train) [51][920/3757] lr: 1.000e-03 eta: 14:16:28 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.6102 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2443 loss: 1.2443 2022/06/30 05:38:36 - mmengine - INFO - Epoch(train) [51][940/3757] lr: 1.000e-03 eta: 14:16:23 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 6.1809 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1204 loss: 1.1204 2022/06/30 05:38:41 - mmengine - INFO - Epoch(train) [51][960/3757] lr: 1.000e-03 eta: 14:16:17 time: 0.246 data_time: 0.017 memory: 6404 grad_norm: 5.9742 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8295 loss: 1.8295 2022/06/30 05:38:47 - mmengine - INFO - Epoch(train) [51][980/3757] lr: 1.000e-03 eta: 14:16:12 time: 0.427 data_time: 0.013 memory: 6404 grad_norm: 7.1969 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4884 loss: 1.4884 2022/06/30 05:38:52 - mmengine - INFO - Epoch(train) [51][1000/3757] lr: 1.000e-03 eta: 14:16:06 time: 0.250 data_time: 0.014 memory: 6404 grad_norm: 6.6260 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3571 loss: 1.3571 2022/06/30 05:38:58 - mmengine - INFO - Epoch(train) [51][1020/3757] lr: 1.000e-03 eta: 14:16:01 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 7.5650 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1768 loss: 1.1768 2022/06/30 05:39:03 - mmengine - INFO - Epoch(train) [51][1040/3757] lr: 1.000e-03 eta: 14:15:55 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 6.3942 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3940 loss: 1.3940 2022/06/30 05:39:09 - mmengine - INFO - Epoch(train) [51][1060/3757] lr: 1.000e-03 eta: 14:15:50 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.9638 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2138 loss: 1.2138 2022/06/30 05:39:14 - mmengine - INFO - Epoch(train) [51][1080/3757] lr: 1.000e-03 eta: 14:15:44 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.9937 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0475 loss: 1.0475 2022/06/30 05:39:19 - mmengine - INFO - Epoch(train) [51][1100/3757] lr: 1.000e-03 eta: 14:15:38 time: 0.251 data_time: 0.016 memory: 6404 grad_norm: 6.3235 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2501 loss: 1.2501 2022/06/30 05:39:25 - mmengine - INFO - Epoch(train) [51][1120/3757] lr: 1.000e-03 eta: 14:15:33 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 5.7140 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2762 loss: 1.2762 2022/06/30 05:39:30 - mmengine - INFO - Epoch(train) [51][1140/3757] lr: 1.000e-03 eta: 14:15:27 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 6.8500 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4644 loss: 1.4644 2022/06/30 05:39:33 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 05:39:35 - mmengine - INFO - Epoch(train) [51][1160/3757] lr: 1.000e-03 eta: 14:15:21 time: 0.252 data_time: 0.019 memory: 6404 grad_norm: 7.0198 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4244 loss: 1.4244 2022/06/30 05:39:40 - mmengine - INFO - Epoch(train) [51][1180/3757] lr: 1.000e-03 eta: 14:15:15 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 8.4980 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4938 loss: 1.4938 2022/06/30 05:39:46 - mmengine - INFO - Epoch(train) [51][1200/3757] lr: 1.000e-03 eta: 14:15:10 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 5.8974 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6058 loss: 1.6058 2022/06/30 05:39:52 - mmengine - INFO - Epoch(train) [51][1220/3757] lr: 1.000e-03 eta: 14:15:05 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 7.4261 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9966 loss: 0.9966 2022/06/30 05:39:57 - mmengine - INFO - Epoch(train) [51][1240/3757] lr: 1.000e-03 eta: 14:14:59 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.2024 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3379 loss: 1.3379 2022/06/30 05:40:03 - mmengine - INFO - Epoch(train) [51][1260/3757] lr: 1.000e-03 eta: 14:14:54 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 6.4654 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4574 loss: 1.4574 2022/06/30 05:40:09 - mmengine - INFO - Epoch(train) [51][1280/3757] lr: 1.000e-03 eta: 14:14:48 time: 0.246 data_time: 0.018 memory: 6404 grad_norm: 6.1463 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3412 loss: 1.3412 2022/06/30 05:40:14 - mmengine - INFO - Epoch(train) [51][1300/3757] lr: 1.000e-03 eta: 14:14:43 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 6.6533 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9876 loss: 0.9876 2022/06/30 05:40:19 - mmengine - INFO - Epoch(train) [51][1320/3757] lr: 1.000e-03 eta: 14:14:37 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.2989 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2628 loss: 1.2628 2022/06/30 05:40:25 - mmengine - INFO - Epoch(train) [51][1340/3757] lr: 1.000e-03 eta: 14:14:32 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 6.9517 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2966 loss: 1.2966 2022/06/30 05:40:30 - mmengine - INFO - Epoch(train) [51][1360/3757] lr: 1.000e-03 eta: 14:14:26 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.4644 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3648 loss: 1.3648 2022/06/30 05:40:36 - mmengine - INFO - Epoch(train) [51][1380/3757] lr: 1.000e-03 eta: 14:14:20 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.5006 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1463 loss: 1.1463 2022/06/30 05:40:41 - mmengine - INFO - Epoch(train) [51][1400/3757] lr: 1.000e-03 eta: 14:14:15 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 6.4778 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1566 loss: 1.1566 2022/06/30 05:40:47 - mmengine - INFO - Epoch(train) [51][1420/3757] lr: 1.000e-03 eta: 14:14:09 time: 0.266 data_time: 0.013 memory: 6404 grad_norm: 6.9629 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0083 loss: 1.0083 2022/06/30 05:40:52 - mmengine - INFO - Epoch(train) [51][1440/3757] lr: 1.000e-03 eta: 14:14:04 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 5.6831 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3623 loss: 1.3623 2022/06/30 05:40:59 - mmengine - INFO - Epoch(train) [51][1460/3757] lr: 1.000e-03 eta: 14:13:59 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.2492 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2714 loss: 1.2714 2022/06/30 05:41:04 - mmengine - INFO - Epoch(train) [51][1480/3757] lr: 1.000e-03 eta: 14:13:53 time: 0.280 data_time: 0.007 memory: 6404 grad_norm: 6.1062 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2093 loss: 1.2093 2022/06/30 05:41:09 - mmengine - INFO - Epoch(train) [51][1500/3757] lr: 1.000e-03 eta: 14:13:48 time: 0.257 data_time: 0.016 memory: 6404 grad_norm: 6.9027 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1019 loss: 1.1019 2022/06/30 05:41:14 - mmengine - INFO - Epoch(train) [51][1520/3757] lr: 1.000e-03 eta: 14:13:42 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 7.4551 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4440 loss: 1.4440 2022/06/30 05:41:20 - mmengine - INFO - Epoch(train) [51][1540/3757] lr: 1.000e-03 eta: 14:13:37 time: 0.284 data_time: 0.006 memory: 6404 grad_norm: 5.2811 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3558 loss: 1.3558 2022/06/30 05:41:26 - mmengine - INFO - Epoch(train) [51][1560/3757] lr: 1.000e-03 eta: 14:13:31 time: 0.243 data_time: 0.013 memory: 6404 grad_norm: 5.8817 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9023 loss: 0.9023 2022/06/30 05:41:31 - mmengine - INFO - Epoch(train) [51][1580/3757] lr: 1.000e-03 eta: 14:13:26 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 7.2785 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2573 loss: 1.2573 2022/06/30 05:41:37 - mmengine - INFO - Epoch(train) [51][1600/3757] lr: 1.000e-03 eta: 14:13:21 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.3257 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5478 loss: 1.5478 2022/06/30 05:41:42 - mmengine - INFO - Epoch(train) [51][1620/3757] lr: 1.000e-03 eta: 14:13:15 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 7.5422 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4735 loss: 1.4735 2022/06/30 05:41:48 - mmengine - INFO - Epoch(train) [51][1640/3757] lr: 1.000e-03 eta: 14:13:10 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 7.0385 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2110 loss: 1.2110 2022/06/30 05:41:54 - mmengine - INFO - Epoch(train) [51][1660/3757] lr: 1.000e-03 eta: 14:13:04 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.4011 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1359 loss: 1.1359 2022/06/30 05:41:59 - mmengine - INFO - Epoch(train) [51][1680/3757] lr: 1.000e-03 eta: 14:12:58 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 6.8279 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9903 loss: 0.9903 2022/06/30 05:42:04 - mmengine - INFO - Epoch(train) [51][1700/3757] lr: 1.000e-03 eta: 14:12:53 time: 0.526 data_time: 0.009 memory: 6404 grad_norm: 6.6624 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3934 loss: 1.3934 2022/06/30 05:42:10 - mmengine - INFO - Epoch(train) [51][1720/3757] lr: 1.000e-03 eta: 14:12:47 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 7.5803 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3236 loss: 1.3236 2022/06/30 05:42:16 - mmengine - INFO - Epoch(train) [51][1740/3757] lr: 1.000e-03 eta: 14:12:42 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 7.9725 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1088 loss: 1.1088 2022/06/30 05:42:22 - mmengine - INFO - Epoch(train) [51][1760/3757] lr: 1.000e-03 eta: 14:12:37 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 7.6084 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4837 loss: 1.4837 2022/06/30 05:42:27 - mmengine - INFO - Epoch(train) [51][1780/3757] lr: 1.000e-03 eta: 14:12:32 time: 0.253 data_time: 0.015 memory: 6404 grad_norm: 6.5515 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3831 loss: 1.3831 2022/06/30 05:42:32 - mmengine - INFO - Epoch(train) [51][1800/3757] lr: 1.000e-03 eta: 14:12:26 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 6.5209 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4196 loss: 1.4196 2022/06/30 05:42:37 - mmengine - INFO - Epoch(train) [51][1820/3757] lr: 1.000e-03 eta: 14:12:20 time: 0.274 data_time: 0.009 memory: 6404 grad_norm: 6.1196 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9472 loss: 0.9472 2022/06/30 05:42:42 - mmengine - INFO - Epoch(train) [51][1840/3757] lr: 1.000e-03 eta: 14:12:14 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 6.8890 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7513 loss: 1.7513 2022/06/30 05:42:48 - mmengine - INFO - Epoch(train) [51][1860/3757] lr: 1.000e-03 eta: 14:12:08 time: 0.256 data_time: 0.015 memory: 6404 grad_norm: 6.7362 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5577 loss: 1.5577 2022/06/30 05:42:53 - mmengine - INFO - Epoch(train) [51][1880/3757] lr: 1.000e-03 eta: 14:12:02 time: 0.247 data_time: 0.015 memory: 6404 grad_norm: 5.4625 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1142 loss: 1.1142 2022/06/30 05:42:58 - mmengine - INFO - Epoch(train) [51][1900/3757] lr: 1.000e-03 eta: 14:11:57 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.7474 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3443 loss: 1.3443 2022/06/30 05:43:04 - mmengine - INFO - Epoch(train) [51][1920/3757] lr: 1.000e-03 eta: 14:11:51 time: 0.266 data_time: 0.014 memory: 6404 grad_norm: 6.0839 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3425 loss: 1.3425 2022/06/30 05:43:09 - mmengine - INFO - Epoch(train) [51][1940/3757] lr: 1.000e-03 eta: 14:11:46 time: 0.246 data_time: 0.016 memory: 6404 grad_norm: 6.0538 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5709 loss: 1.5709 2022/06/30 05:43:15 - mmengine - INFO - Epoch(train) [51][1960/3757] lr: 1.000e-03 eta: 14:11:40 time: 0.240 data_time: 0.006 memory: 6404 grad_norm: 6.7398 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2326 loss: 1.2326 2022/06/30 05:43:20 - mmengine - INFO - Epoch(train) [51][1980/3757] lr: 1.000e-03 eta: 14:11:35 time: 0.265 data_time: 0.016 memory: 6404 grad_norm: 6.4696 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9117 loss: 0.9117 2022/06/30 05:43:25 - mmengine - INFO - Epoch(train) [51][2000/3757] lr: 1.000e-03 eta: 14:11:29 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 6.5213 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3662 loss: 1.3662 2022/06/30 05:43:31 - mmengine - INFO - Epoch(train) [51][2020/3757] lr: 1.000e-03 eta: 14:11:24 time: 0.242 data_time: 0.011 memory: 6404 grad_norm: 6.6859 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5315 loss: 1.5315 2022/06/30 05:43:37 - mmengine - INFO - Epoch(train) [51][2040/3757] lr: 1.000e-03 eta: 14:11:18 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 7.2538 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4311 loss: 1.4311 2022/06/30 05:43:42 - mmengine - INFO - Epoch(train) [51][2060/3757] lr: 1.000e-03 eta: 14:11:13 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 6.4704 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4534 loss: 1.4534 2022/06/30 05:43:48 - mmengine - INFO - Epoch(train) [51][2080/3757] lr: 1.000e-03 eta: 14:11:08 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 7.5205 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7670 loss: 1.7670 2022/06/30 05:43:54 - mmengine - INFO - Epoch(train) [51][2100/3757] lr: 1.000e-03 eta: 14:11:02 time: 0.260 data_time: 0.026 memory: 6404 grad_norm: 6.7409 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1562 loss: 1.1562 2022/06/30 05:43:59 - mmengine - INFO - Epoch(train) [51][2120/3757] lr: 1.000e-03 eta: 14:10:57 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 5.3178 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3740 loss: 1.3740 2022/06/30 05:44:05 - mmengine - INFO - Epoch(train) [51][2140/3757] lr: 1.000e-03 eta: 14:10:51 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.8864 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8498 loss: 0.8498 2022/06/30 05:44:08 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 05:44:10 - mmengine - INFO - Epoch(train) [51][2160/3757] lr: 1.000e-03 eta: 14:10:46 time: 0.249 data_time: 0.018 memory: 6404 grad_norm: 5.8889 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2877 loss: 1.2877 2022/06/30 05:44:16 - mmengine - INFO - Epoch(train) [51][2180/3757] lr: 1.000e-03 eta: 14:10:40 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 5.9466 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1099 loss: 1.1099 2022/06/30 05:44:21 - mmengine - INFO - Epoch(train) [51][2200/3757] lr: 1.000e-03 eta: 14:10:35 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.3363 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0335 loss: 1.0335 2022/06/30 05:44:27 - mmengine - INFO - Epoch(train) [51][2220/3757] lr: 1.000e-03 eta: 14:10:30 time: 0.255 data_time: 0.017 memory: 6404 grad_norm: 6.8407 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2962 loss: 1.2962 2022/06/30 05:44:33 - mmengine - INFO - Epoch(train) [51][2240/3757] lr: 1.000e-03 eta: 14:10:24 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.8065 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2282 loss: 1.2282 2022/06/30 05:44:38 - mmengine - INFO - Epoch(train) [51][2260/3757] lr: 1.000e-03 eta: 14:10:19 time: 0.251 data_time: 0.016 memory: 6404 grad_norm: 6.7213 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2991 loss: 1.2991 2022/06/30 05:44:44 - mmengine - INFO - Epoch(train) [51][2280/3757] lr: 1.000e-03 eta: 14:10:13 time: 0.260 data_time: 0.019 memory: 6404 grad_norm: 6.1412 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1758 loss: 1.1758 2022/06/30 05:44:49 - mmengine - INFO - Epoch(train) [51][2300/3757] lr: 1.000e-03 eta: 14:10:07 time: 0.280 data_time: 0.012 memory: 6404 grad_norm: 5.7919 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9525 loss: 0.9525 2022/06/30 05:44:54 - mmengine - INFO - Epoch(train) [51][2320/3757] lr: 1.000e-03 eta: 14:10:02 time: 0.330 data_time: 0.014 memory: 6404 grad_norm: 5.6495 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2418 loss: 1.2418 2022/06/30 05:44:59 - mmengine - INFO - Epoch(train) [51][2340/3757] lr: 1.000e-03 eta: 14:09:56 time: 0.245 data_time: 0.012 memory: 6404 grad_norm: 6.9033 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1852 loss: 1.1852 2022/06/30 05:45:04 - mmengine - INFO - Epoch(train) [51][2360/3757] lr: 1.000e-03 eta: 14:09:50 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 7.4364 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5227 loss: 1.5227 2022/06/30 05:45:10 - mmengine - INFO - Epoch(train) [51][2380/3757] lr: 1.000e-03 eta: 14:09:44 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.7757 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3501 loss: 1.3501 2022/06/30 05:45:16 - mmengine - INFO - Epoch(train) [51][2400/3757] lr: 1.000e-03 eta: 14:09:39 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 6.4806 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2530 loss: 1.2530 2022/06/30 05:45:21 - mmengine - INFO - Epoch(train) [51][2420/3757] lr: 1.000e-03 eta: 14:09:34 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 7.0497 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3169 loss: 1.3169 2022/06/30 05:45:27 - mmengine - INFO - Epoch(train) [51][2440/3757] lr: 1.000e-03 eta: 14:09:28 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 7.7436 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.2648 loss: 1.2648 2022/06/30 05:45:32 - mmengine - INFO - Epoch(train) [51][2460/3757] lr: 1.000e-03 eta: 14:09:23 time: 0.312 data_time: 0.016 memory: 6404 grad_norm: 6.1632 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5675 loss: 1.5675 2022/06/30 05:45:38 - mmengine - INFO - Epoch(train) [51][2480/3757] lr: 1.000e-03 eta: 14:09:17 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.9004 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4196 loss: 1.4196 2022/06/30 05:45:43 - mmengine - INFO - Epoch(train) [51][2500/3757] lr: 1.000e-03 eta: 14:09:11 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.5461 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1847 loss: 1.1847 2022/06/30 05:45:49 - mmengine - INFO - Epoch(train) [51][2520/3757] lr: 1.000e-03 eta: 14:09:06 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 6.0037 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2863 loss: 1.2863 2022/06/30 05:45:55 - mmengine - INFO - Epoch(train) [51][2540/3757] lr: 1.000e-03 eta: 14:09:01 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 6.4735 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2005 loss: 1.2005 2022/06/30 05:46:00 - mmengine - INFO - Epoch(train) [51][2560/3757] lr: 1.000e-03 eta: 14:08:55 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.7255 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3591 loss: 1.3591 2022/06/30 05:46:06 - mmengine - INFO - Epoch(train) [51][2580/3757] lr: 1.000e-03 eta: 14:08:50 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.9150 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8043 loss: 1.8043 2022/06/30 05:46:11 - mmengine - INFO - Epoch(train) [51][2600/3757] lr: 1.000e-03 eta: 14:08:44 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 7.9556 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1702 loss: 1.1702 2022/06/30 05:46:16 - mmengine - INFO - Epoch(train) [51][2620/3757] lr: 1.000e-03 eta: 14:08:38 time: 0.272 data_time: 0.011 memory: 6404 grad_norm: 7.1048 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1885 loss: 1.1885 2022/06/30 05:46:22 - mmengine - INFO - Epoch(train) [51][2640/3757] lr: 1.000e-03 eta: 14:08:33 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.0507 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4090 loss: 1.4090 2022/06/30 05:46:28 - mmengine - INFO - Epoch(train) [51][2660/3757] lr: 1.000e-03 eta: 14:08:28 time: 0.262 data_time: 0.010 memory: 6404 grad_norm: 7.9131 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4507 loss: 1.4507 2022/06/30 05:46:33 - mmengine - INFO - Epoch(train) [51][2680/3757] lr: 1.000e-03 eta: 14:08:22 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 6.8218 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7359 loss: 1.7359 2022/06/30 05:46:39 - mmengine - INFO - Epoch(train) [51][2700/3757] lr: 1.000e-03 eta: 14:08:17 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 5.4207 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3728 loss: 1.3728 2022/06/30 05:46:44 - mmengine - INFO - Epoch(train) [51][2720/3757] lr: 1.000e-03 eta: 14:08:11 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 6.7564 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3057 loss: 1.3057 2022/06/30 05:46:50 - mmengine - INFO - Epoch(train) [51][2740/3757] lr: 1.000e-03 eta: 14:08:06 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.5113 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4690 loss: 1.4690 2022/06/30 05:46:55 - mmengine - INFO - Epoch(train) [51][2760/3757] lr: 1.000e-03 eta: 14:08:00 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 5.6901 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4802 loss: 1.4802 2022/06/30 05:47:00 - mmengine - INFO - Epoch(train) [51][2780/3757] lr: 1.000e-03 eta: 14:07:54 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 7.3489 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5807 loss: 1.5807 2022/06/30 05:47:06 - mmengine - INFO - Epoch(train) [51][2800/3757] lr: 1.000e-03 eta: 14:07:49 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 5.9592 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3089 loss: 1.3089 2022/06/30 05:47:11 - mmengine - INFO - Epoch(train) [51][2820/3757] lr: 1.000e-03 eta: 14:07:43 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 6.8259 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0155 loss: 1.0155 2022/06/30 05:47:17 - mmengine - INFO - Epoch(train) [51][2840/3757] lr: 1.000e-03 eta: 14:07:38 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 6.9346 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4060 loss: 1.4060 2022/06/30 05:47:22 - mmengine - INFO - Epoch(train) [51][2860/3757] lr: 1.000e-03 eta: 14:07:32 time: 0.277 data_time: 0.007 memory: 6404 grad_norm: 5.6459 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4923 loss: 1.4923 2022/06/30 05:47:27 - mmengine - INFO - Epoch(train) [51][2880/3757] lr: 1.000e-03 eta: 14:07:26 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 7.3811 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5986 loss: 1.5986 2022/06/30 05:47:33 - mmengine - INFO - Epoch(train) [51][2900/3757] lr: 1.000e-03 eta: 14:07:21 time: 0.245 data_time: 0.016 memory: 6404 grad_norm: 5.9658 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4241 loss: 1.4241 2022/06/30 05:47:39 - mmengine - INFO - Epoch(train) [51][2920/3757] lr: 1.000e-03 eta: 14:07:16 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.4736 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0517 loss: 1.0517 2022/06/30 05:47:45 - mmengine - INFO - Epoch(train) [51][2940/3757] lr: 1.000e-03 eta: 14:07:11 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 7.2740 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4343 loss: 1.4343 2022/06/30 05:47:50 - mmengine - INFO - Epoch(train) [51][2960/3757] lr: 1.000e-03 eta: 14:07:05 time: 0.256 data_time: 0.015 memory: 6404 grad_norm: 5.8523 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1542 loss: 1.1542 2022/06/30 05:47:55 - mmengine - INFO - Epoch(train) [51][2980/3757] lr: 1.000e-03 eta: 14:06:59 time: 0.240 data_time: 0.010 memory: 6404 grad_norm: 6.7487 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1231 loss: 1.1231 2022/06/30 05:48:01 - mmengine - INFO - Epoch(train) [51][3000/3757] lr: 1.000e-03 eta: 14:06:54 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 6.3889 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8366 loss: 0.8366 2022/06/30 05:48:06 - mmengine - INFO - Epoch(train) [51][3020/3757] lr: 1.000e-03 eta: 14:06:48 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 6.9177 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4778 loss: 1.4778 2022/06/30 05:48:12 - mmengine - INFO - Epoch(train) [51][3040/3757] lr: 1.000e-03 eta: 14:06:43 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 6.1482 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4623 loss: 1.4623 2022/06/30 05:48:17 - mmengine - INFO - Epoch(train) [51][3060/3757] lr: 1.000e-03 eta: 14:06:37 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 8.0366 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6918 loss: 1.6918 2022/06/30 05:48:23 - mmengine - INFO - Epoch(train) [51][3080/3757] lr: 1.000e-03 eta: 14:06:32 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 5.9393 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3300 loss: 1.3300 2022/06/30 05:48:28 - mmengine - INFO - Epoch(train) [51][3100/3757] lr: 1.000e-03 eta: 14:06:26 time: 0.256 data_time: 0.024 memory: 6404 grad_norm: 6.4329 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7527 loss: 1.7527 2022/06/30 05:48:34 - mmengine - INFO - Epoch(train) [51][3120/3757] lr: 1.000e-03 eta: 14:06:21 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 6.2136 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2962 loss: 1.2962 2022/06/30 05:48:39 - mmengine - INFO - Epoch(train) [51][3140/3757] lr: 1.000e-03 eta: 14:06:15 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 7.1644 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6376 loss: 1.6376 2022/06/30 05:48:42 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 05:48:44 - mmengine - INFO - Epoch(train) [51][3160/3757] lr: 1.000e-03 eta: 14:06:09 time: 0.260 data_time: 0.013 memory: 6404 grad_norm: 6.3935 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0813 loss: 1.0813 2022/06/30 05:48:50 - mmengine - INFO - Epoch(train) [51][3180/3757] lr: 1.000e-03 eta: 14:06:04 time: 0.245 data_time: 0.012 memory: 6404 grad_norm: 6.4001 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5939 loss: 1.5939 2022/06/30 05:48:55 - mmengine - INFO - Epoch(train) [51][3200/3757] lr: 1.000e-03 eta: 14:05:58 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 6.1086 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0187 loss: 1.0187 2022/06/30 05:49:01 - mmengine - INFO - Epoch(train) [51][3220/3757] lr: 1.000e-03 eta: 14:05:53 time: 0.269 data_time: 0.011 memory: 6404 grad_norm: 6.1469 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1375 loss: 1.1375 2022/06/30 05:49:06 - mmengine - INFO - Epoch(train) [51][3240/3757] lr: 1.000e-03 eta: 14:05:47 time: 0.279 data_time: 0.008 memory: 6404 grad_norm: 6.4904 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1573 loss: 1.1573 2022/06/30 05:49:12 - mmengine - INFO - Epoch(train) [51][3260/3757] lr: 1.000e-03 eta: 14:05:42 time: 0.245 data_time: 0.009 memory: 6404 grad_norm: 6.8060 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3250 loss: 1.3250 2022/06/30 05:49:18 - mmengine - INFO - Epoch(train) [51][3280/3757] lr: 1.000e-03 eta: 14:05:36 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 6.1416 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.8727 loss: 0.8727 2022/06/30 05:49:24 - mmengine - INFO - Epoch(train) [51][3300/3757] lr: 1.000e-03 eta: 14:05:32 time: 0.302 data_time: 0.008 memory: 6404 grad_norm: 6.5298 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0126 loss: 1.0126 2022/06/30 05:49:29 - mmengine - INFO - Epoch(train) [51][3320/3757] lr: 1.000e-03 eta: 14:05:26 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.6643 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1095 loss: 1.1095 2022/06/30 05:49:34 - mmengine - INFO - Epoch(train) [51][3340/3757] lr: 1.000e-03 eta: 14:05:20 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.7290 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1746 loss: 1.1746 2022/06/30 05:49:40 - mmengine - INFO - Epoch(train) [51][3360/3757] lr: 1.000e-03 eta: 14:05:14 time: 0.261 data_time: 0.006 memory: 6404 grad_norm: 7.4916 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0731 loss: 1.0731 2022/06/30 05:49:45 - mmengine - INFO - Epoch(train) [51][3380/3757] lr: 1.000e-03 eta: 14:05:09 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 7.0290 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9947 loss: 0.9947 2022/06/30 05:49:51 - mmengine - INFO - Epoch(train) [51][3400/3757] lr: 1.000e-03 eta: 14:05:03 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.6616 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2356 loss: 1.2356 2022/06/30 05:49:56 - mmengine - INFO - Epoch(train) [51][3420/3757] lr: 1.000e-03 eta: 14:04:58 time: 0.277 data_time: 0.006 memory: 6404 grad_norm: 7.4149 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3996 loss: 1.3996 2022/06/30 05:50:02 - mmengine - INFO - Epoch(train) [51][3440/3757] lr: 1.000e-03 eta: 14:04:53 time: 0.242 data_time: 0.013 memory: 6404 grad_norm: 6.9238 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1198 loss: 1.1198 2022/06/30 05:50:07 - mmengine - INFO - Epoch(train) [51][3460/3757] lr: 1.000e-03 eta: 14:04:47 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.4348 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3814 loss: 1.3814 2022/06/30 05:50:13 - mmengine - INFO - Epoch(train) [51][3480/3757] lr: 1.000e-03 eta: 14:04:42 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 7.7568 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1924 loss: 1.1924 2022/06/30 05:50:19 - mmengine - INFO - Epoch(train) [51][3500/3757] lr: 1.000e-03 eta: 14:04:36 time: 0.249 data_time: 0.016 memory: 6404 grad_norm: 7.9363 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9936 loss: 0.9936 2022/06/30 05:50:24 - mmengine - INFO - Epoch(train) [51][3520/3757] lr: 1.000e-03 eta: 14:04:31 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 6.5446 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3936 loss: 1.3936 2022/06/30 05:50:30 - mmengine - INFO - Epoch(train) [51][3540/3757] lr: 1.000e-03 eta: 14:04:25 time: 0.271 data_time: 0.009 memory: 6404 grad_norm: 5.4115 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3400 loss: 1.3400 2022/06/30 05:50:35 - mmengine - INFO - Epoch(train) [51][3560/3757] lr: 1.000e-03 eta: 14:04:20 time: 0.414 data_time: 0.042 memory: 6404 grad_norm: 6.9345 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1107 loss: 1.1107 2022/06/30 05:50:40 - mmengine - INFO - Epoch(train) [51][3580/3757] lr: 1.000e-03 eta: 14:04:14 time: 0.254 data_time: 0.015 memory: 6404 grad_norm: 6.4805 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2848 loss: 1.2848 2022/06/30 05:50:46 - mmengine - INFO - Epoch(train) [51][3600/3757] lr: 1.000e-03 eta: 14:04:09 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 6.9680 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3765 loss: 1.3765 2022/06/30 05:50:51 - mmengine - INFO - Epoch(train) [51][3620/3757] lr: 1.000e-03 eta: 14:04:03 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 7.5727 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3109 loss: 1.3109 2022/06/30 05:50:57 - mmengine - INFO - Epoch(train) [51][3640/3757] lr: 1.000e-03 eta: 14:03:57 time: 0.257 data_time: 0.021 memory: 6404 grad_norm: 6.7959 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3235 loss: 1.3235 2022/06/30 05:51:03 - mmengine - INFO - Epoch(train) [51][3660/3757] lr: 1.000e-03 eta: 14:03:52 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.1431 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2533 loss: 1.2533 2022/06/30 05:51:08 - mmengine - INFO - Epoch(train) [51][3680/3757] lr: 1.000e-03 eta: 14:03:46 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.2693 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2205 loss: 1.2205 2022/06/30 05:51:14 - mmengine - INFO - Epoch(train) [51][3700/3757] lr: 1.000e-03 eta: 14:03:41 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 7.0494 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9579 loss: 0.9579 2022/06/30 05:51:19 - mmengine - INFO - Epoch(train) [51][3720/3757] lr: 1.000e-03 eta: 14:03:36 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 6.6711 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4377 loss: 1.4377 2022/06/30 05:51:24 - mmengine - INFO - Epoch(train) [51][3740/3757] lr: 1.000e-03 eta: 14:03:30 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 6.7629 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2645 loss: 1.2645 2022/06/30 05:51:28 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 05:51:35 - mmengine - INFO - Epoch(val) [51][20/310] eta: 0:01:26 time: 0.099 data_time: 0.008 memory: 6404 2022/06/30 05:51:41 - mmengine - INFO - Epoch(val) [51][40/310] eta: 0:01:19 time: 0.108 data_time: 0.018 memory: 1479 2022/06/30 05:51:45 - mmengine - INFO - Epoch(val) [51][60/310] eta: 0:00:26 time: 0.098 data_time: 0.014 memory: 1479 2022/06/30 05:51:51 - mmengine - INFO - Epoch(val) [51][80/310] eta: 0:01:15 time: 0.088 data_time: 0.007 memory: 1479 2022/06/30 05:51:57 - mmengine - INFO - Epoch(val) [51][100/310] eta: 0:01:00 time: 0.421 data_time: 0.325 memory: 1479 2022/06/30 05:52:01 - mmengine - INFO - Epoch(val) [51][120/310] eta: 0:00:30 time: 0.090 data_time: 0.008 memory: 1479 2022/06/30 05:52:07 - mmengine - INFO - Epoch(val) [51][140/310] eta: 0:00:53 time: 0.089 data_time: 0.012 memory: 1479 2022/06/30 05:52:14 - mmengine - INFO - Epoch(val) [51][160/310] eta: 0:00:50 time: 1.262 data_time: 1.176 memory: 1479 2022/06/30 05:52:18 - mmengine - INFO - Epoch(val) [51][180/310] eta: 0:00:42 time: 0.078 data_time: 0.005 memory: 1479 2022/06/30 05:52:24 - mmengine - INFO - Epoch(val) [51][200/310] eta: 0:00:34 time: 0.093 data_time: 0.009 memory: 1479 2022/06/30 05:52:30 - mmengine - INFO - Epoch(val) [51][220/310] eta: 0:00:29 time: 0.519 data_time: 0.423 memory: 1479 2022/06/30 05:52:34 - mmengine - INFO - Epoch(val) [51][240/310] eta: 0:00:20 time: 0.083 data_time: 0.005 memory: 1479 2022/06/30 05:52:40 - mmengine - INFO - Epoch(val) [51][260/310] eta: 0:00:16 time: 0.084 data_time: 0.008 memory: 1479 2022/06/30 05:52:46 - mmengine - INFO - Epoch(val) [51][280/310] eta: 0:00:08 time: 0.313 data_time: 0.225 memory: 1479 2022/06/30 05:52:50 - mmengine - INFO - Epoch(val) [51][300/310] eta: 0:00:02 time: 0.081 data_time: 0.005 memory: 1479 2022/06/30 05:52:52 - mmengine - INFO - Epoch(val) [51][310/310] acc/top1: 0.6616 acc/top5: 0.8626 acc/mean1: 0.6615 2022/06/30 05:53:01 - mmengine - INFO - Epoch(train) [52][20/3757] lr: 1.000e-03 eta: 14:03:21 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 7.3741 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1775 loss: 1.1775 2022/06/30 05:53:06 - mmengine - INFO - Epoch(train) [52][40/3757] lr: 1.000e-03 eta: 14:03:15 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 6.0780 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2203 loss: 1.2203 2022/06/30 05:53:12 - mmengine - INFO - Epoch(train) [52][60/3757] lr: 1.000e-03 eta: 14:03:10 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 6.3800 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3095 loss: 1.3095 2022/06/30 05:53:18 - mmengine - INFO - Epoch(train) [52][80/3757] lr: 1.000e-03 eta: 14:03:04 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.5232 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2150 loss: 1.2150 2022/06/30 05:53:23 - mmengine - INFO - Epoch(train) [52][100/3757] lr: 1.000e-03 eta: 14:02:59 time: 0.257 data_time: 0.022 memory: 6404 grad_norm: 5.8684 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4625 loss: 1.4625 2022/06/30 05:53:29 - mmengine - INFO - Epoch(train) [52][120/3757] lr: 1.000e-03 eta: 14:02:54 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 6.2827 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4088 loss: 1.4088 2022/06/30 05:53:34 - mmengine - INFO - Epoch(train) [52][140/3757] lr: 1.000e-03 eta: 14:02:48 time: 0.245 data_time: 0.012 memory: 6404 grad_norm: 7.0142 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2844 loss: 1.2844 2022/06/30 05:53:40 - mmengine - INFO - Epoch(train) [52][160/3757] lr: 1.000e-03 eta: 14:02:43 time: 0.244 data_time: 0.028 memory: 6404 grad_norm: 6.3664 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0352 loss: 1.0352 2022/06/30 05:53:45 - mmengine - INFO - Epoch(train) [52][180/3757] lr: 1.000e-03 eta: 14:02:37 time: 0.253 data_time: 0.016 memory: 6404 grad_norm: 6.1974 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2113 loss: 1.2113 2022/06/30 05:53:51 - mmengine - INFO - Epoch(train) [52][200/3757] lr: 1.000e-03 eta: 14:02:31 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.4288 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0483 loss: 1.0483 2022/06/30 05:53:56 - mmengine - INFO - Epoch(train) [52][220/3757] lr: 1.000e-03 eta: 14:02:26 time: 0.253 data_time: 0.053 memory: 6404 grad_norm: 6.9370 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0672 loss: 1.0672 2022/06/30 05:54:02 - mmengine - INFO - Epoch(train) [52][240/3757] lr: 1.000e-03 eta: 14:02:21 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 6.0564 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6379 loss: 1.6379 2022/06/30 05:54:07 - mmengine - INFO - Epoch(train) [52][260/3757] lr: 1.000e-03 eta: 14:02:15 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 6.2698 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8448 loss: 0.8448 2022/06/30 05:54:12 - mmengine - INFO - Epoch(train) [52][280/3757] lr: 1.000e-03 eta: 14:02:09 time: 0.266 data_time: 0.026 memory: 6404 grad_norm: 5.6858 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5036 loss: 1.5036 2022/06/30 05:54:17 - mmengine - INFO - Epoch(train) [52][300/3757] lr: 1.000e-03 eta: 14:02:03 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 6.4518 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4081 loss: 1.4081 2022/06/30 05:54:23 - mmengine - INFO - Epoch(train) [52][320/3757] lr: 1.000e-03 eta: 14:01:58 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 5.8860 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9994 loss: 0.9994 2022/06/30 05:54:29 - mmengine - INFO - Epoch(train) [52][340/3757] lr: 1.000e-03 eta: 14:01:53 time: 0.259 data_time: 0.058 memory: 6404 grad_norm: 5.8834 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0282 loss: 2.0282 2022/06/30 05:54:34 - mmengine - INFO - Epoch(train) [52][360/3757] lr: 1.000e-03 eta: 14:01:47 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.3788 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1631 loss: 1.1631 2022/06/30 05:54:40 - mmengine - INFO - Epoch(train) [52][380/3757] lr: 1.000e-03 eta: 14:01:41 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.2860 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7993 loss: 0.7993 2022/06/30 05:54:43 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 05:54:45 - mmengine - INFO - Epoch(train) [52][400/3757] lr: 1.000e-03 eta: 14:01:36 time: 0.260 data_time: 0.021 memory: 6404 grad_norm: 6.4856 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2202 loss: 1.2202 2022/06/30 05:54:51 - mmengine - INFO - Epoch(train) [52][420/3757] lr: 1.000e-03 eta: 14:01:30 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 6.7942 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2862 loss: 1.2862 2022/06/30 05:54:56 - mmengine - INFO - Epoch(train) [52][440/3757] lr: 1.000e-03 eta: 14:01:24 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 6.0200 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0928 loss: 1.0928 2022/06/30 05:55:01 - mmengine - INFO - Epoch(train) [52][460/3757] lr: 1.000e-03 eta: 14:01:19 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 6.4647 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1484 loss: 1.1484 2022/06/30 05:55:06 - mmengine - INFO - Epoch(train) [52][480/3757] lr: 1.000e-03 eta: 14:01:13 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 7.1656 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5237 loss: 1.5237 2022/06/30 05:55:12 - mmengine - INFO - Epoch(train) [52][500/3757] lr: 1.000e-03 eta: 14:01:08 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 6.4408 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5043 loss: 1.5043 2022/06/30 05:55:18 - mmengine - INFO - Epoch(train) [52][520/3757] lr: 1.000e-03 eta: 14:01:02 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 7.0019 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4885 loss: 1.4885 2022/06/30 05:55:23 - mmengine - INFO - Epoch(train) [52][540/3757] lr: 1.000e-03 eta: 14:00:56 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 6.5557 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3332 loss: 1.3332 2022/06/30 05:55:29 - mmengine - INFO - Epoch(train) [52][560/3757] lr: 1.000e-03 eta: 14:00:51 time: 0.658 data_time: 0.007 memory: 6404 grad_norm: 6.9240 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1283 loss: 1.1283 2022/06/30 05:55:34 - mmengine - INFO - Epoch(train) [52][580/3757] lr: 1.000e-03 eta: 14:00:46 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.8579 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1306 loss: 1.1306 2022/06/30 05:55:40 - mmengine - INFO - Epoch(train) [52][600/3757] lr: 1.000e-03 eta: 14:00:40 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 6.9916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3748 loss: 1.3748 2022/06/30 05:55:46 - mmengine - INFO - Epoch(train) [52][620/3757] lr: 1.000e-03 eta: 14:00:35 time: 0.846 data_time: 0.007 memory: 6404 grad_norm: 8.3182 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9774 loss: 0.9774 2022/06/30 05:55:51 - mmengine - INFO - Epoch(train) [52][640/3757] lr: 1.000e-03 eta: 14:00:29 time: 0.277 data_time: 0.007 memory: 6404 grad_norm: 5.6376 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4366 loss: 1.4366 2022/06/30 05:55:56 - mmengine - INFO - Epoch(train) [52][660/3757] lr: 1.000e-03 eta: 14:00:24 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.9184 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3592 loss: 1.3592 2022/06/30 05:56:02 - mmengine - INFO - Epoch(train) [52][680/3757] lr: 1.000e-03 eta: 14:00:18 time: 0.274 data_time: 0.008 memory: 6404 grad_norm: 6.7574 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9376 loss: 0.9376 2022/06/30 05:56:07 - mmengine - INFO - Epoch(train) [52][700/3757] lr: 1.000e-03 eta: 14:00:12 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.9080 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4918 loss: 1.4918 2022/06/30 05:56:12 - mmengine - INFO - Epoch(train) [52][720/3757] lr: 1.000e-03 eta: 14:00:07 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 6.5600 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0417 loss: 1.0417 2022/06/30 05:56:18 - mmengine - INFO - Epoch(train) [52][740/3757] lr: 1.000e-03 eta: 14:00:01 time: 0.267 data_time: 0.006 memory: 6404 grad_norm: 7.5508 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4952 loss: 1.4952 2022/06/30 05:56:23 - mmengine - INFO - Epoch(train) [52][760/3757] lr: 1.000e-03 eta: 13:59:55 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 6.7035 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6861 loss: 1.6861 2022/06/30 05:56:29 - mmengine - INFO - Epoch(train) [52][780/3757] lr: 1.000e-03 eta: 13:59:51 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.6825 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1161 loss: 1.1161 2022/06/30 05:56:35 - mmengine - INFO - Epoch(train) [52][800/3757] lr: 1.000e-03 eta: 13:59:45 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.6683 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0821 loss: 1.0821 2022/06/30 05:56:40 - mmengine - INFO - Epoch(train) [52][820/3757] lr: 1.000e-03 eta: 13:59:39 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 7.4983 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2642 loss: 1.2642 2022/06/30 05:56:45 - mmengine - INFO - Epoch(train) [52][840/3757] lr: 1.000e-03 eta: 13:59:34 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 7.3629 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3377 loss: 1.3377 2022/06/30 05:56:50 - mmengine - INFO - Epoch(train) [52][860/3757] lr: 1.000e-03 eta: 13:59:28 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 7.1364 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4563 loss: 1.4563 2022/06/30 05:56:55 - mmengine - INFO - Epoch(train) [52][880/3757] lr: 1.000e-03 eta: 13:59:22 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.5550 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9995 loss: 0.9995 2022/06/30 05:57:01 - mmengine - INFO - Epoch(train) [52][900/3757] lr: 1.000e-03 eta: 13:59:17 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 6.2877 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3583 loss: 1.3583 2022/06/30 05:57:07 - mmengine - INFO - Epoch(train) [52][920/3757] lr: 1.000e-03 eta: 13:59:12 time: 0.277 data_time: 0.008 memory: 6404 grad_norm: 7.2592 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5761 loss: 1.5761 2022/06/30 05:57:12 - mmengine - INFO - Epoch(train) [52][940/3757] lr: 1.000e-03 eta: 13:59:06 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.4868 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2039 loss: 1.2039 2022/06/30 05:57:18 - mmengine - INFO - Epoch(train) [52][960/3757] lr: 1.000e-03 eta: 13:59:00 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 6.0161 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3522 loss: 1.3522 2022/06/30 05:57:23 - mmengine - INFO - Epoch(train) [52][980/3757] lr: 1.000e-03 eta: 13:58:54 time: 0.259 data_time: 0.032 memory: 6404 grad_norm: 6.6746 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4373 loss: 1.4373 2022/06/30 05:57:28 - mmengine - INFO - Epoch(train) [52][1000/3757] lr: 1.000e-03 eta: 13:58:49 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 7.4577 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3818 loss: 1.3818 2022/06/30 05:57:34 - mmengine - INFO - Epoch(train) [52][1020/3757] lr: 1.000e-03 eta: 13:58:43 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 6.2680 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3266 loss: 1.3266 2022/06/30 05:57:40 - mmengine - INFO - Epoch(train) [52][1040/3757] lr: 1.000e-03 eta: 13:58:38 time: 0.249 data_time: 0.016 memory: 6404 grad_norm: 7.5581 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9299 loss: 0.9299 2022/06/30 05:57:45 - mmengine - INFO - Epoch(train) [52][1060/3757] lr: 1.000e-03 eta: 13:58:33 time: 0.241 data_time: 0.011 memory: 6404 grad_norm: 5.9113 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2628 loss: 1.2628 2022/06/30 05:57:50 - mmengine - INFO - Epoch(train) [52][1080/3757] lr: 1.000e-03 eta: 13:58:27 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 6.1720 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3939 loss: 1.3939 2022/06/30 05:57:56 - mmengine - INFO - Epoch(train) [52][1100/3757] lr: 1.000e-03 eta: 13:58:21 time: 0.314 data_time: 0.014 memory: 6404 grad_norm: 8.2794 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5536 loss: 1.5536 2022/06/30 05:58:01 - mmengine - INFO - Epoch(train) [52][1120/3757] lr: 1.000e-03 eta: 13:58:15 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 6.1712 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3436 loss: 1.3436 2022/06/30 05:58:07 - mmengine - INFO - Epoch(train) [52][1140/3757] lr: 1.000e-03 eta: 13:58:10 time: 0.262 data_time: 0.017 memory: 6404 grad_norm: 7.4353 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2328 loss: 1.2328 2022/06/30 05:58:12 - mmengine - INFO - Epoch(train) [52][1160/3757] lr: 1.000e-03 eta: 13:58:05 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.8097 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5426 loss: 1.5426 2022/06/30 05:58:18 - mmengine - INFO - Epoch(train) [52][1180/3757] lr: 1.000e-03 eta: 13:57:59 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 6.1119 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3596 loss: 1.3596 2022/06/30 05:58:23 - mmengine - INFO - Epoch(train) [52][1200/3757] lr: 1.000e-03 eta: 13:57:53 time: 0.261 data_time: 0.006 memory: 6404 grad_norm: 6.1519 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.5964 loss: 1.5964 2022/06/30 05:58:28 - mmengine - INFO - Epoch(train) [52][1220/3757] lr: 1.000e-03 eta: 13:57:48 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.2526 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2532 loss: 1.2532 2022/06/30 05:58:33 - mmengine - INFO - Epoch(train) [52][1240/3757] lr: 1.000e-03 eta: 13:57:42 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 7.2773 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1245 loss: 1.1245 2022/06/30 05:58:39 - mmengine - INFO - Epoch(train) [52][1260/3757] lr: 1.000e-03 eta: 13:57:37 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 7.4182 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4572 loss: 1.4572 2022/06/30 05:58:44 - mmengine - INFO - Epoch(train) [52][1280/3757] lr: 1.000e-03 eta: 13:57:31 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 6.6917 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2203 loss: 1.2203 2022/06/30 05:58:50 - mmengine - INFO - Epoch(train) [52][1300/3757] lr: 1.000e-03 eta: 13:57:26 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 6.6399 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0276 loss: 1.0276 2022/06/30 05:58:57 - mmengine - INFO - Epoch(train) [52][1320/3757] lr: 1.000e-03 eta: 13:57:21 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 7.2104 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1680 loss: 1.1680 2022/06/30 05:59:02 - mmengine - INFO - Epoch(train) [52][1340/3757] lr: 1.000e-03 eta: 13:57:15 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 6.3327 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1234 loss: 1.1234 2022/06/30 05:59:07 - mmengine - INFO - Epoch(train) [52][1360/3757] lr: 1.000e-03 eta: 13:57:09 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 7.0304 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3876 loss: 1.3876 2022/06/30 05:59:12 - mmengine - INFO - Epoch(train) [52][1380/3757] lr: 1.000e-03 eta: 13:57:04 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 6.5269 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4096 loss: 1.4096 2022/06/30 05:59:16 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 05:59:18 - mmengine - INFO - Epoch(train) [52][1400/3757] lr: 1.000e-03 eta: 13:56:58 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 6.4362 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6395 loss: 1.6395 2022/06/30 05:59:23 - mmengine - INFO - Epoch(train) [52][1420/3757] lr: 1.000e-03 eta: 13:56:52 time: 0.250 data_time: 0.014 memory: 6404 grad_norm: 7.0782 top1_acc: 0.1250 top5_acc: 1.0000 loss_cls: 1.5803 loss: 1.5803 2022/06/30 05:59:28 - mmengine - INFO - Epoch(train) [52][1440/3757] lr: 1.000e-03 eta: 13:56:46 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 7.8294 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4957 loss: 1.4957 2022/06/30 05:59:33 - mmengine - INFO - Epoch(train) [52][1460/3757] lr: 1.000e-03 eta: 13:56:40 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 6.2998 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2127 loss: 1.2127 2022/06/30 05:59:39 - mmengine - INFO - Epoch(train) [52][1480/3757] lr: 1.000e-03 eta: 13:56:35 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.0556 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2757 loss: 1.2757 2022/06/30 05:59:44 - mmengine - INFO - Epoch(train) [52][1500/3757] lr: 1.000e-03 eta: 13:56:29 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 7.1706 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3752 loss: 1.3752 2022/06/30 05:59:50 - mmengine - INFO - Epoch(train) [52][1520/3757] lr: 1.000e-03 eta: 13:56:24 time: 0.255 data_time: 0.017 memory: 6404 grad_norm: 6.0717 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3398 loss: 1.3398 2022/06/30 05:59:55 - mmengine - INFO - Epoch(train) [52][1540/3757] lr: 1.000e-03 eta: 13:56:19 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 6.8430 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2663 loss: 1.2663 2022/06/30 06:00:03 - mmengine - INFO - Epoch(train) [52][1560/3757] lr: 1.000e-03 eta: 13:56:15 time: 1.878 data_time: 0.007 memory: 6404 grad_norm: 5.7430 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0863 loss: 1.0863 2022/06/30 06:00:08 - mmengine - INFO - Epoch(train) [52][1580/3757] lr: 1.000e-03 eta: 13:56:09 time: 0.266 data_time: 0.013 memory: 6404 grad_norm: 7.3494 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2746 loss: 1.2746 2022/06/30 06:00:13 - mmengine - INFO - Epoch(train) [52][1600/3757] lr: 1.000e-03 eta: 13:56:03 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 5.7419 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5563 loss: 1.5563 2022/06/30 06:00:18 - mmengine - INFO - Epoch(train) [52][1620/3757] lr: 1.000e-03 eta: 13:55:58 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.0963 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4417 loss: 1.4417 2022/06/30 06:00:24 - mmengine - INFO - Epoch(train) [52][1640/3757] lr: 1.000e-03 eta: 13:55:52 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 6.2258 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1421 loss: 1.1421 2022/06/30 06:00:29 - mmengine - INFO - Epoch(train) [52][1660/3757] lr: 1.000e-03 eta: 13:55:46 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.0016 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3794 loss: 1.3794 2022/06/30 06:00:35 - mmengine - INFO - Epoch(train) [52][1680/3757] lr: 1.000e-03 eta: 13:55:41 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 6.3954 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2221 loss: 1.2221 2022/06/30 06:00:40 - mmengine - INFO - Epoch(train) [52][1700/3757] lr: 1.000e-03 eta: 13:55:35 time: 0.242 data_time: 0.011 memory: 6404 grad_norm: 6.1290 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3972 loss: 1.3972 2022/06/30 06:00:47 - mmengine - INFO - Epoch(train) [52][1720/3757] lr: 1.000e-03 eta: 13:55:31 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 7.6406 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2375 loss: 1.2375 2022/06/30 06:00:52 - mmengine - INFO - Epoch(train) [52][1740/3757] lr: 1.000e-03 eta: 13:55:25 time: 0.269 data_time: 0.011 memory: 6404 grad_norm: 6.9781 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0232 loss: 1.0232 2022/06/30 06:00:57 - mmengine - INFO - Epoch(train) [52][1760/3757] lr: 1.000e-03 eta: 13:55:19 time: 0.291 data_time: 0.013 memory: 6404 grad_norm: 6.2958 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3809 loss: 1.3809 2022/06/30 06:01:02 - mmengine - INFO - Epoch(train) [52][1780/3757] lr: 1.000e-03 eta: 13:55:14 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.6883 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8803 loss: 0.8803 2022/06/30 06:01:08 - mmengine - INFO - Epoch(train) [52][1800/3757] lr: 1.000e-03 eta: 13:55:08 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 6.4787 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3680 loss: 1.3680 2022/06/30 06:01:13 - mmengine - INFO - Epoch(train) [52][1820/3757] lr: 1.000e-03 eta: 13:55:02 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.9218 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3243 loss: 1.3243 2022/06/30 06:01:18 - mmengine - INFO - Epoch(train) [52][1840/3757] lr: 1.000e-03 eta: 13:54:57 time: 0.261 data_time: 0.011 memory: 6404 grad_norm: 6.3260 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1803 loss: 1.1803 2022/06/30 06:01:24 - mmengine - INFO - Epoch(train) [52][1860/3757] lr: 1.000e-03 eta: 13:54:51 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.1047 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6838 loss: 1.6838 2022/06/30 06:01:29 - mmengine - INFO - Epoch(train) [52][1880/3757] lr: 1.000e-03 eta: 13:54:45 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 6.4835 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7610 loss: 1.7610 2022/06/30 06:01:35 - mmengine - INFO - Epoch(train) [52][1900/3757] lr: 1.000e-03 eta: 13:54:40 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 6.4272 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4440 loss: 1.4440 2022/06/30 06:01:41 - mmengine - INFO - Epoch(train) [52][1920/3757] lr: 1.000e-03 eta: 13:54:35 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 6.2886 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2039 loss: 1.2039 2022/06/30 06:01:46 - mmengine - INFO - Epoch(train) [52][1940/3757] lr: 1.000e-03 eta: 13:54:29 time: 0.306 data_time: 0.009 memory: 6404 grad_norm: 5.8905 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1190 loss: 1.1190 2022/06/30 06:01:52 - mmengine - INFO - Epoch(train) [52][1960/3757] lr: 1.000e-03 eta: 13:54:24 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 9.0676 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5593 loss: 1.5593 2022/06/30 06:01:57 - mmengine - INFO - Epoch(train) [52][1980/3757] lr: 1.000e-03 eta: 13:54:18 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 7.4683 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4338 loss: 1.4338 2022/06/30 06:02:02 - mmengine - INFO - Epoch(train) [52][2000/3757] lr: 1.000e-03 eta: 13:54:12 time: 0.256 data_time: 0.016 memory: 6404 grad_norm: 6.6772 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2879 loss: 1.2879 2022/06/30 06:02:08 - mmengine - INFO - Epoch(train) [52][2020/3757] lr: 1.000e-03 eta: 13:54:07 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 8.2235 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0028 loss: 1.0028 2022/06/30 06:02:13 - mmengine - INFO - Epoch(train) [52][2040/3757] lr: 1.000e-03 eta: 13:54:01 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 5.1824 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1048 loss: 1.1048 2022/06/30 06:02:18 - mmengine - INFO - Epoch(train) [52][2060/3757] lr: 1.000e-03 eta: 13:53:56 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 7.8958 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2234 loss: 1.2234 2022/06/30 06:02:24 - mmengine - INFO - Epoch(train) [52][2080/3757] lr: 1.000e-03 eta: 13:53:50 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 7.0337 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3693 loss: 1.3693 2022/06/30 06:02:30 - mmengine - INFO - Epoch(train) [52][2100/3757] lr: 1.000e-03 eta: 13:53:45 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 7.8372 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4183 loss: 1.4183 2022/06/30 06:02:35 - mmengine - INFO - Epoch(train) [52][2120/3757] lr: 1.000e-03 eta: 13:53:39 time: 0.258 data_time: 0.013 memory: 6404 grad_norm: 7.3041 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2431 loss: 1.2431 2022/06/30 06:02:41 - mmengine - INFO - Epoch(train) [52][2140/3757] lr: 1.000e-03 eta: 13:53:34 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 7.8157 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9660 loss: 0.9660 2022/06/30 06:02:47 - mmengine - INFO - Epoch(train) [52][2160/3757] lr: 1.000e-03 eta: 13:53:29 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 7.3282 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4875 loss: 1.4875 2022/06/30 06:02:52 - mmengine - INFO - Epoch(train) [52][2180/3757] lr: 1.000e-03 eta: 13:53:23 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 7.3460 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1186 loss: 1.1186 2022/06/30 06:02:57 - mmengine - INFO - Epoch(train) [52][2200/3757] lr: 1.000e-03 eta: 13:53:17 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 6.5280 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9529 loss: 0.9529 2022/06/30 06:03:02 - mmengine - INFO - Epoch(train) [52][2220/3757] lr: 1.000e-03 eta: 13:53:11 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 6.1547 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1007 loss: 1.1007 2022/06/30 06:03:08 - mmengine - INFO - Epoch(train) [52][2240/3757] lr: 1.000e-03 eta: 13:53:06 time: 0.245 data_time: 0.019 memory: 6404 grad_norm: 6.2184 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3397 loss: 1.3397 2022/06/30 06:03:13 - mmengine - INFO - Epoch(train) [52][2260/3757] lr: 1.000e-03 eta: 13:53:00 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.3447 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2351 loss: 1.2351 2022/06/30 06:03:19 - mmengine - INFO - Epoch(train) [52][2280/3757] lr: 1.000e-03 eta: 13:52:55 time: 0.262 data_time: 0.010 memory: 6404 grad_norm: 6.8263 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2514 loss: 1.2514 2022/06/30 06:03:25 - mmengine - INFO - Epoch(train) [52][2300/3757] lr: 1.000e-03 eta: 13:52:50 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 6.5295 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3529 loss: 1.3529 2022/06/30 06:03:30 - mmengine - INFO - Epoch(train) [52][2320/3757] lr: 1.000e-03 eta: 13:52:44 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.6998 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2286 loss: 1.2286 2022/06/30 06:03:36 - mmengine - INFO - Epoch(train) [52][2340/3757] lr: 1.000e-03 eta: 13:52:39 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 5.7136 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3632 loss: 1.3632 2022/06/30 06:03:41 - mmengine - INFO - Epoch(train) [52][2360/3757] lr: 1.000e-03 eta: 13:52:33 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 7.7980 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3310 loss: 1.3310 2022/06/30 06:03:46 - mmengine - INFO - Epoch(train) [52][2380/3757] lr: 1.000e-03 eta: 13:52:27 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 6.1009 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2483 loss: 1.2483 2022/06/30 06:03:50 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 06:03:52 - mmengine - INFO - Epoch(train) [52][2400/3757] lr: 1.000e-03 eta: 13:52:22 time: 0.248 data_time: 0.016 memory: 6404 grad_norm: 6.5415 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0365 loss: 1.0365 2022/06/30 06:03:58 - mmengine - INFO - Epoch(train) [52][2420/3757] lr: 1.000e-03 eta: 13:52:17 time: 0.250 data_time: 0.015 memory: 6404 grad_norm: 6.4701 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4855 loss: 1.4855 2022/06/30 06:04:03 - mmengine - INFO - Epoch(train) [52][2440/3757] lr: 1.000e-03 eta: 13:52:11 time: 0.307 data_time: 0.018 memory: 6404 grad_norm: 6.6870 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3910 loss: 1.3910 2022/06/30 06:04:09 - mmengine - INFO - Epoch(train) [52][2460/3757] lr: 1.000e-03 eta: 13:52:06 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 6.6765 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3894 loss: 1.3894 2022/06/30 06:04:14 - mmengine - INFO - Epoch(train) [52][2480/3757] lr: 1.000e-03 eta: 13:52:00 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.9530 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3657 loss: 1.3657 2022/06/30 06:04:20 - mmengine - INFO - Epoch(train) [52][2500/3757] lr: 1.000e-03 eta: 13:51:55 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.5435 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5763 loss: 1.5763 2022/06/30 06:04:25 - mmengine - INFO - Epoch(train) [52][2520/3757] lr: 1.000e-03 eta: 13:51:49 time: 0.252 data_time: 0.015 memory: 6404 grad_norm: 7.0864 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3629 loss: 1.3629 2022/06/30 06:04:30 - mmengine - INFO - Epoch(train) [52][2540/3757] lr: 1.000e-03 eta: 13:51:43 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.0319 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4237 loss: 1.4237 2022/06/30 06:04:36 - mmengine - INFO - Epoch(train) [52][2560/3757] lr: 1.000e-03 eta: 13:51:38 time: 0.494 data_time: 0.009 memory: 6404 grad_norm: 7.3845 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4319 loss: 1.4319 2022/06/30 06:04:42 - mmengine - INFO - Epoch(train) [52][2580/3757] lr: 1.000e-03 eta: 13:51:32 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 6.7448 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1971 loss: 1.1971 2022/06/30 06:04:47 - mmengine - INFO - Epoch(train) [52][2600/3757] lr: 1.000e-03 eta: 13:51:27 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 7.9280 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5813 loss: 1.5813 2022/06/30 06:04:52 - mmengine - INFO - Epoch(train) [52][2620/3757] lr: 1.000e-03 eta: 13:51:21 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 7.0844 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5449 loss: 1.5449 2022/06/30 06:04:58 - mmengine - INFO - Epoch(train) [52][2640/3757] lr: 1.000e-03 eta: 13:51:16 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 5.9938 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1274 loss: 1.1274 2022/06/30 06:05:04 - mmengine - INFO - Epoch(train) [52][2660/3757] lr: 1.000e-03 eta: 13:51:11 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 7.4658 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0686 loss: 1.0686 2022/06/30 06:05:09 - mmengine - INFO - Epoch(train) [52][2680/3757] lr: 1.000e-03 eta: 13:51:05 time: 0.345 data_time: 0.010 memory: 6404 grad_norm: 6.2939 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6110 loss: 1.6110 2022/06/30 06:05:15 - mmengine - INFO - Epoch(train) [52][2700/3757] lr: 1.000e-03 eta: 13:50:59 time: 0.250 data_time: 0.016 memory: 6404 grad_norm: 5.7006 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0855 loss: 1.0855 2022/06/30 06:05:20 - mmengine - INFO - Epoch(train) [52][2720/3757] lr: 1.000e-03 eta: 13:50:54 time: 0.241 data_time: 0.010 memory: 6404 grad_norm: 5.7812 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0964 loss: 1.0964 2022/06/30 06:05:26 - mmengine - INFO - Epoch(train) [52][2740/3757] lr: 1.000e-03 eta: 13:50:48 time: 0.442 data_time: 0.018 memory: 6404 grad_norm: 7.3001 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4264 loss: 1.4264 2022/06/30 06:05:31 - mmengine - INFO - Epoch(train) [52][2760/3757] lr: 1.000e-03 eta: 13:50:43 time: 0.272 data_time: 0.016 memory: 6404 grad_norm: 6.3044 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5750 loss: 1.5750 2022/06/30 06:05:37 - mmengine - INFO - Epoch(train) [52][2780/3757] lr: 1.000e-03 eta: 13:50:37 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 7.1800 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5994 loss: 1.5994 2022/06/30 06:05:42 - mmengine - INFO - Epoch(train) [52][2800/3757] lr: 1.000e-03 eta: 13:50:32 time: 0.257 data_time: 0.027 memory: 6404 grad_norm: 7.8777 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0942 loss: 1.0942 2022/06/30 06:05:48 - mmengine - INFO - Epoch(train) [52][2820/3757] lr: 1.000e-03 eta: 13:50:26 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.5168 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1994 loss: 1.1994 2022/06/30 06:05:53 - mmengine - INFO - Epoch(train) [52][2840/3757] lr: 1.000e-03 eta: 13:50:21 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.5359 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9960 loss: 0.9960 2022/06/30 06:05:59 - mmengine - INFO - Epoch(train) [52][2860/3757] lr: 1.000e-03 eta: 13:50:16 time: 0.267 data_time: 0.009 memory: 6404 grad_norm: 6.6507 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1343 loss: 1.1343 2022/06/30 06:06:04 - mmengine - INFO - Epoch(train) [52][2880/3757] lr: 1.000e-03 eta: 13:50:10 time: 0.263 data_time: 0.009 memory: 6404 grad_norm: 6.9052 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3536 loss: 1.3536 2022/06/30 06:06:09 - mmengine - INFO - Epoch(train) [52][2900/3757] lr: 1.000e-03 eta: 13:50:04 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 6.3739 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2439 loss: 1.2439 2022/06/30 06:06:15 - mmengine - INFO - Epoch(train) [52][2920/3757] lr: 1.000e-03 eta: 13:49:58 time: 0.255 data_time: 0.012 memory: 6404 grad_norm: 7.8944 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5200 loss: 1.5200 2022/06/30 06:06:20 - mmengine - INFO - Epoch(train) [52][2940/3757] lr: 1.000e-03 eta: 13:49:53 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 6.4550 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5031 loss: 1.5031 2022/06/30 06:06:25 - mmengine - INFO - Epoch(train) [52][2960/3757] lr: 1.000e-03 eta: 13:49:47 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 6.0479 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7604 loss: 1.7604 2022/06/30 06:06:31 - mmengine - INFO - Epoch(train) [52][2980/3757] lr: 1.000e-03 eta: 13:49:42 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 6.2724 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4977 loss: 1.4977 2022/06/30 06:06:37 - mmengine - INFO - Epoch(train) [52][3000/3757] lr: 1.000e-03 eta: 13:49:36 time: 0.728 data_time: 0.006 memory: 6404 grad_norm: 5.8566 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1455 loss: 1.1455 2022/06/30 06:06:42 - mmengine - INFO - Epoch(train) [52][3020/3757] lr: 1.000e-03 eta: 13:49:31 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.2614 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3384 loss: 1.3384 2022/06/30 06:06:48 - mmengine - INFO - Epoch(train) [52][3040/3757] lr: 1.000e-03 eta: 13:49:25 time: 0.254 data_time: 0.020 memory: 6404 grad_norm: 6.0412 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3148 loss: 1.3148 2022/06/30 06:06:53 - mmengine - INFO - Epoch(train) [52][3060/3757] lr: 1.000e-03 eta: 13:49:20 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 6.6521 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4554 loss: 1.4554 2022/06/30 06:06:58 - mmengine - INFO - Epoch(train) [52][3080/3757] lr: 1.000e-03 eta: 13:49:14 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.8336 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1568 loss: 1.1568 2022/06/30 06:07:04 - mmengine - INFO - Epoch(train) [52][3100/3757] lr: 1.000e-03 eta: 13:49:09 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 6.1147 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4834 loss: 1.4834 2022/06/30 06:07:09 - mmengine - INFO - Epoch(train) [52][3120/3757] lr: 1.000e-03 eta: 13:49:03 time: 0.264 data_time: 0.011 memory: 6404 grad_norm: 7.0339 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3242 loss: 1.3242 2022/06/30 06:07:15 - mmengine - INFO - Epoch(train) [52][3140/3757] lr: 1.000e-03 eta: 13:48:58 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 6.5631 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1392 loss: 1.1392 2022/06/30 06:07:21 - mmengine - INFO - Epoch(train) [52][3160/3757] lr: 1.000e-03 eta: 13:48:52 time: 0.292 data_time: 0.007 memory: 6404 grad_norm: 6.9627 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6130 loss: 1.6130 2022/06/30 06:07:26 - mmengine - INFO - Epoch(train) [52][3180/3757] lr: 1.000e-03 eta: 13:48:47 time: 0.261 data_time: 0.006 memory: 6404 grad_norm: 6.7057 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7980 loss: 1.7980 2022/06/30 06:07:31 - mmengine - INFO - Epoch(train) [52][3200/3757] lr: 1.000e-03 eta: 13:48:41 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 5.9101 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5339 loss: 1.5339 2022/06/30 06:07:37 - mmengine - INFO - Epoch(train) [52][3220/3757] lr: 1.000e-03 eta: 13:48:36 time: 0.841 data_time: 0.058 memory: 6404 grad_norm: 6.6629 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2566 loss: 1.2566 2022/06/30 06:07:43 - mmengine - INFO - Epoch(train) [52][3240/3757] lr: 1.000e-03 eta: 13:48:30 time: 0.263 data_time: 0.016 memory: 6404 grad_norm: 4.5499 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5488 loss: 1.5488 2022/06/30 06:07:48 - mmengine - INFO - Epoch(train) [52][3260/3757] lr: 1.000e-03 eta: 13:48:25 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 6.0993 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5539 loss: 1.5539 2022/06/30 06:07:53 - mmengine - INFO - Epoch(train) [52][3280/3757] lr: 1.000e-03 eta: 13:48:19 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 7.0630 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3656 loss: 1.3656 2022/06/30 06:07:58 - mmengine - INFO - Epoch(train) [52][3300/3757] lr: 1.000e-03 eta: 13:48:13 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 7.2075 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3723 loss: 1.3723 2022/06/30 06:08:04 - mmengine - INFO - Epoch(train) [52][3320/3757] lr: 1.000e-03 eta: 13:48:07 time: 0.249 data_time: 0.015 memory: 6404 grad_norm: 7.1064 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3171 loss: 1.3171 2022/06/30 06:08:09 - mmengine - INFO - Epoch(train) [52][3340/3757] lr: 1.000e-03 eta: 13:48:02 time: 0.280 data_time: 0.008 memory: 6404 grad_norm: 7.4287 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2511 loss: 1.2511 2022/06/30 06:08:14 - mmengine - INFO - Epoch(train) [52][3360/3757] lr: 1.000e-03 eta: 13:47:56 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.8506 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6520 loss: 1.6520 2022/06/30 06:08:20 - mmengine - INFO - Epoch(train) [52][3380/3757] lr: 1.000e-03 eta: 13:47:51 time: 0.269 data_time: 0.011 memory: 6404 grad_norm: 6.1926 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3000 loss: 1.3000 2022/06/30 06:08:24 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 06:08:26 - mmengine - INFO - Epoch(train) [52][3400/3757] lr: 1.000e-03 eta: 13:47:45 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 6.3077 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1654 loss: 1.1654 2022/06/30 06:08:31 - mmengine - INFO - Epoch(train) [52][3420/3757] lr: 1.000e-03 eta: 13:47:40 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.3211 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3680 loss: 1.3680 2022/06/30 06:08:37 - mmengine - INFO - Epoch(train) [52][3440/3757] lr: 1.000e-03 eta: 13:47:35 time: 0.266 data_time: 0.010 memory: 6404 grad_norm: 7.4616 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4815 loss: 1.4815 2022/06/30 06:08:42 - mmengine - INFO - Epoch(train) [52][3460/3757] lr: 1.000e-03 eta: 13:47:29 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 6.5523 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4390 loss: 1.4390 2022/06/30 06:08:48 - mmengine - INFO - Epoch(train) [52][3480/3757] lr: 1.000e-03 eta: 13:47:23 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.9758 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2125 loss: 1.2125 2022/06/30 06:08:53 - mmengine - INFO - Epoch(train) [52][3500/3757] lr: 1.000e-03 eta: 13:47:18 time: 0.249 data_time: 0.015 memory: 6404 grad_norm: 6.9991 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3800 loss: 1.3800 2022/06/30 06:08:59 - mmengine - INFO - Epoch(train) [52][3520/3757] lr: 1.000e-03 eta: 13:47:12 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 8.4254 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3722 loss: 1.3722 2022/06/30 06:09:04 - mmengine - INFO - Epoch(train) [52][3540/3757] lr: 1.000e-03 eta: 13:47:07 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 6.2475 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5865 loss: 1.5865 2022/06/30 06:09:10 - mmengine - INFO - Epoch(train) [52][3560/3757] lr: 1.000e-03 eta: 13:47:01 time: 0.245 data_time: 0.014 memory: 6404 grad_norm: 7.1595 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0222 loss: 1.0222 2022/06/30 06:09:15 - mmengine - INFO - Epoch(train) [52][3580/3757] lr: 1.000e-03 eta: 13:46:56 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.5765 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4511 loss: 1.4511 2022/06/30 06:09:21 - mmengine - INFO - Epoch(train) [52][3600/3757] lr: 1.000e-03 eta: 13:46:50 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 7.2801 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3751 loss: 1.3751 2022/06/30 06:09:26 - mmengine - INFO - Epoch(train) [52][3620/3757] lr: 1.000e-03 eta: 13:46:45 time: 0.242 data_time: 0.016 memory: 6404 grad_norm: 5.9201 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2364 loss: 1.2364 2022/06/30 06:09:31 - mmengine - INFO - Epoch(train) [52][3640/3757] lr: 1.000e-03 eta: 13:46:39 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.3960 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4699 loss: 1.4699 2022/06/30 06:09:36 - mmengine - INFO - Epoch(train) [52][3660/3757] lr: 1.000e-03 eta: 13:46:33 time: 0.247 data_time: 0.019 memory: 6404 grad_norm: 6.2998 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5349 loss: 1.5349 2022/06/30 06:09:42 - mmengine - INFO - Epoch(train) [52][3680/3757] lr: 1.000e-03 eta: 13:46:27 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 6.9609 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4429 loss: 1.4429 2022/06/30 06:09:47 - mmengine - INFO - Epoch(train) [52][3700/3757] lr: 1.000e-03 eta: 13:46:22 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 5.6634 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3071 loss: 1.3071 2022/06/30 06:09:53 - mmengine - INFO - Epoch(train) [52][3720/3757] lr: 1.000e-03 eta: 13:46:16 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.7788 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1198 loss: 1.1198 2022/06/30 06:09:58 - mmengine - INFO - Epoch(train) [52][3740/3757] lr: 1.000e-03 eta: 13:46:11 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.9192 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2459 loss: 1.2459 2022/06/30 06:10:03 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 06:10:10 - mmengine - INFO - Epoch(val) [52][20/310] eta: 0:01:27 time: 0.086 data_time: 0.007 memory: 6404 2022/06/30 06:10:15 - mmengine - INFO - Epoch(val) [52][40/310] eta: 0:01:17 time: 0.093 data_time: 0.019 memory: 1479 2022/06/30 06:10:20 - mmengine - INFO - Epoch(val) [52][60/310] eta: 0:00:23 time: 0.090 data_time: 0.015 memory: 1479 2022/06/30 06:10:25 - mmengine - INFO - Epoch(val) [52][80/310] eta: 0:01:09 time: 0.087 data_time: 0.010 memory: 1479 2022/06/30 06:10:31 - mmengine - INFO - Epoch(val) [52][100/310] eta: 0:01:01 time: 0.092 data_time: 0.013 memory: 1479 2022/06/30 06:10:35 - mmengine - INFO - Epoch(val) [52][120/310] eta: 0:00:16 time: 0.093 data_time: 0.012 memory: 1479 2022/06/30 06:10:42 - mmengine - INFO - Epoch(val) [52][140/310] eta: 0:00:52 time: 0.091 data_time: 0.011 memory: 1479 2022/06/30 06:10:48 - mmengine - INFO - Epoch(val) [52][160/310] eta: 0:00:47 time: 1.352 data_time: 1.276 memory: 1479 2022/06/30 06:10:52 - mmengine - INFO - Epoch(val) [52][180/310] eta: 0:00:28 time: 0.079 data_time: 0.005 memory: 1479 2022/06/30 06:10:58 - mmengine - INFO - Epoch(val) [52][200/310] eta: 0:00:32 time: 0.090 data_time: 0.012 memory: 1479 2022/06/30 06:11:03 - mmengine - INFO - Epoch(val) [52][220/310] eta: 0:00:26 time: 0.370 data_time: 0.279 memory: 1479 2022/06/30 06:11:07 - mmengine - INFO - Epoch(val) [52][240/310] eta: 0:00:11 time: 0.084 data_time: 0.007 memory: 1479 2022/06/30 06:11:13 - mmengine - INFO - Epoch(val) [52][260/310] eta: 0:00:15 time: 0.087 data_time: 0.007 memory: 1479 2022/06/30 06:11:19 - mmengine - INFO - Epoch(val) [52][280/310] eta: 0:00:09 time: 0.085 data_time: 0.006 memory: 1479 2022/06/30 06:11:23 - mmengine - INFO - Epoch(val) [52][300/310] eta: 0:00:01 time: 0.088 data_time: 0.010 memory: 1479 2022/06/30 06:11:26 - mmengine - INFO - Epoch(val) [52][310/310] acc/top1: 0.6613 acc/top5: 0.8641 acc/mean1: 0.6612 2022/06/30 06:11:35 - mmengine - INFO - Epoch(train) [53][20/3757] lr: 1.000e-03 eta: 13:46:02 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 6.8167 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0386 loss: 1.0386 2022/06/30 06:11:41 - mmengine - INFO - Epoch(train) [53][40/3757] lr: 1.000e-03 eta: 13:45:57 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 7.3907 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2241 loss: 1.2241 2022/06/30 06:11:46 - mmengine - INFO - Epoch(train) [53][60/3757] lr: 1.000e-03 eta: 13:45:51 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 7.4822 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3942 loss: 1.3942 2022/06/30 06:11:52 - mmengine - INFO - Epoch(train) [53][80/3757] lr: 1.000e-03 eta: 13:45:46 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 5.8747 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6140 loss: 1.6140 2022/06/30 06:11:58 - mmengine - INFO - Epoch(train) [53][100/3757] lr: 1.000e-03 eta: 13:45:41 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 7.0767 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0000 loss: 1.0000 2022/06/30 06:12:03 - mmengine - INFO - Epoch(train) [53][120/3757] lr: 1.000e-03 eta: 13:45:35 time: 0.243 data_time: 0.013 memory: 6404 grad_norm: 5.5948 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3689 loss: 1.3689 2022/06/30 06:12:09 - mmengine - INFO - Epoch(train) [53][140/3757] lr: 1.000e-03 eta: 13:45:30 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 6.3673 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1613 loss: 1.1613 2022/06/30 06:12:14 - mmengine - INFO - Epoch(train) [53][160/3757] lr: 1.000e-03 eta: 13:45:24 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.8485 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5948 loss: 1.5948 2022/06/30 06:12:19 - mmengine - INFO - Epoch(train) [53][180/3757] lr: 1.000e-03 eta: 13:45:18 time: 0.264 data_time: 0.017 memory: 6404 grad_norm: 5.5550 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0325 loss: 1.0325 2022/06/30 06:12:25 - mmengine - INFO - Epoch(train) [53][200/3757] lr: 1.000e-03 eta: 13:45:12 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.9563 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0389 loss: 1.0389 2022/06/30 06:12:31 - mmengine - INFO - Epoch(train) [53][220/3757] lr: 1.000e-03 eta: 13:45:07 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 7.2996 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6131 loss: 1.6131 2022/06/30 06:12:36 - mmengine - INFO - Epoch(train) [53][240/3757] lr: 1.000e-03 eta: 13:45:02 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 6.2615 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1332 loss: 1.1332 2022/06/30 06:12:42 - mmengine - INFO - Epoch(train) [53][260/3757] lr: 1.000e-03 eta: 13:44:56 time: 0.275 data_time: 0.010 memory: 6404 grad_norm: 7.0236 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4044 loss: 1.4044 2022/06/30 06:12:47 - mmengine - INFO - Epoch(train) [53][280/3757] lr: 1.000e-03 eta: 13:44:51 time: 0.271 data_time: 0.008 memory: 6404 grad_norm: 7.6349 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3163 loss: 1.3163 2022/06/30 06:12:52 - mmengine - INFO - Epoch(train) [53][300/3757] lr: 1.000e-03 eta: 13:44:45 time: 0.244 data_time: 0.033 memory: 6404 grad_norm: 6.8149 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2836 loss: 1.2836 2022/06/30 06:12:58 - mmengine - INFO - Epoch(train) [53][320/3757] lr: 1.000e-03 eta: 13:44:39 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 7.6072 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.3884 loss: 1.3884 2022/06/30 06:13:03 - mmengine - INFO - Epoch(train) [53][340/3757] lr: 1.000e-03 eta: 13:44:34 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 6.7181 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2444 loss: 1.2444 2022/06/30 06:13:08 - mmengine - INFO - Epoch(train) [53][360/3757] lr: 1.000e-03 eta: 13:44:28 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 7.7851 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2758 loss: 1.2758 2022/06/30 06:13:14 - mmengine - INFO - Epoch(train) [53][380/3757] lr: 1.000e-03 eta: 13:44:23 time: 0.266 data_time: 0.008 memory: 6404 grad_norm: 6.7662 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2923 loss: 1.2923 2022/06/30 06:13:20 - mmengine - INFO - Epoch(train) [53][400/3757] lr: 1.000e-03 eta: 13:44:17 time: 0.256 data_time: 0.017 memory: 6404 grad_norm: 6.7224 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1319 loss: 1.1319 2022/06/30 06:13:25 - mmengine - INFO - Epoch(train) [53][420/3757] lr: 1.000e-03 eta: 13:44:12 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 7.2870 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6934 loss: 1.6934 2022/06/30 06:13:31 - mmengine - INFO - Epoch(train) [53][440/3757] lr: 1.000e-03 eta: 13:44:07 time: 0.271 data_time: 0.010 memory: 6404 grad_norm: 7.4563 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5349 loss: 1.5349 2022/06/30 06:13:36 - mmengine - INFO - Epoch(train) [53][460/3757] lr: 1.000e-03 eta: 13:44:01 time: 0.252 data_time: 0.016 memory: 6404 grad_norm: 6.2262 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2457 loss: 1.2457 2022/06/30 06:13:42 - mmengine - INFO - Epoch(train) [53][480/3757] lr: 1.000e-03 eta: 13:43:55 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 7.6332 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3493 loss: 1.3493 2022/06/30 06:13:47 - mmengine - INFO - Epoch(train) [53][500/3757] lr: 1.000e-03 eta: 13:43:49 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 6.9304 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2985 loss: 1.2985 2022/06/30 06:13:52 - mmengine - INFO - Epoch(train) [53][520/3757] lr: 1.000e-03 eta: 13:43:44 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.4681 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2839 loss: 1.2839 2022/06/30 06:13:58 - mmengine - INFO - Epoch(train) [53][540/3757] lr: 1.000e-03 eta: 13:43:38 time: 0.286 data_time: 0.025 memory: 6404 grad_norm: 6.5146 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3911 loss: 1.3911 2022/06/30 06:14:03 - mmengine - INFO - Epoch(train) [53][560/3757] lr: 1.000e-03 eta: 13:43:33 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 7.6090 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1896 loss: 1.1896 2022/06/30 06:14:09 - mmengine - INFO - Epoch(train) [53][580/3757] lr: 1.000e-03 eta: 13:43:28 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 5.9090 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3207 loss: 1.3207 2022/06/30 06:14:15 - mmengine - INFO - Epoch(train) [53][600/3757] lr: 1.000e-03 eta: 13:43:22 time: 0.252 data_time: 0.020 memory: 6404 grad_norm: 6.6320 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5775 loss: 1.5775 2022/06/30 06:14:20 - mmengine - INFO - Epoch(train) [53][620/3757] lr: 1.000e-03 eta: 13:43:16 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.9275 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2553 loss: 1.2553 2022/06/30 06:14:24 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 06:14:26 - mmengine - INFO - Epoch(train) [53][640/3757] lr: 1.000e-03 eta: 13:43:11 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 6.5936 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2590 loss: 1.2590 2022/06/30 06:14:31 - mmengine - INFO - Epoch(train) [53][660/3757] lr: 1.000e-03 eta: 13:43:05 time: 0.250 data_time: 0.014 memory: 6404 grad_norm: 6.5405 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2234 loss: 1.2234 2022/06/30 06:14:36 - mmengine - INFO - Epoch(train) [53][680/3757] lr: 1.000e-03 eta: 13:43:00 time: 0.252 data_time: 0.017 memory: 6404 grad_norm: 7.4552 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1246 loss: 1.1246 2022/06/30 06:14:42 - mmengine - INFO - Epoch(train) [53][700/3757] lr: 1.000e-03 eta: 13:42:54 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 7.1473 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4972 loss: 1.4972 2022/06/30 06:14:47 - mmengine - INFO - Epoch(train) [53][720/3757] lr: 1.000e-03 eta: 13:42:49 time: 0.276 data_time: 0.068 memory: 6404 grad_norm: 5.8431 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1769 loss: 1.1769 2022/06/30 06:14:53 - mmengine - INFO - Epoch(train) [53][740/3757] lr: 1.000e-03 eta: 13:42:43 time: 0.259 data_time: 0.019 memory: 6404 grad_norm: 8.1015 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3113 loss: 1.3113 2022/06/30 06:14:58 - mmengine - INFO - Epoch(train) [53][760/3757] lr: 1.000e-03 eta: 13:42:38 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 7.3913 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1699 loss: 1.1699 2022/06/30 06:15:03 - mmengine - INFO - Epoch(train) [53][780/3757] lr: 1.000e-03 eta: 13:42:32 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.6969 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1699 loss: 1.1699 2022/06/30 06:15:09 - mmengine - INFO - Epoch(train) [53][800/3757] lr: 1.000e-03 eta: 13:42:27 time: 0.279 data_time: 0.026 memory: 6404 grad_norm: 6.1572 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3374 loss: 1.3374 2022/06/30 06:15:15 - mmengine - INFO - Epoch(train) [53][820/3757] lr: 1.000e-03 eta: 13:42:21 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.4488 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2546 loss: 1.2546 2022/06/30 06:15:20 - mmengine - INFO - Epoch(train) [53][840/3757] lr: 1.000e-03 eta: 13:42:16 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 7.1766 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4386 loss: 1.4386 2022/06/30 06:15:25 - mmengine - INFO - Epoch(train) [53][860/3757] lr: 1.000e-03 eta: 13:42:10 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 7.4905 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2257 loss: 1.2257 2022/06/30 06:15:32 - mmengine - INFO - Epoch(train) [53][880/3757] lr: 1.000e-03 eta: 13:42:05 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 8.3297 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4247 loss: 1.4247 2022/06/30 06:15:37 - mmengine - INFO - Epoch(train) [53][900/3757] lr: 1.000e-03 eta: 13:41:59 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 6.6232 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9831 loss: 0.9831 2022/06/30 06:15:43 - mmengine - INFO - Epoch(train) [53][920/3757] lr: 1.000e-03 eta: 13:41:54 time: 0.263 data_time: 0.017 memory: 6404 grad_norm: 5.7624 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8996 loss: 0.8996 2022/06/30 06:15:48 - mmengine - INFO - Epoch(train) [53][940/3757] lr: 1.000e-03 eta: 13:41:48 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 6.7394 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8637 loss: 0.8637 2022/06/30 06:15:53 - mmengine - INFO - Epoch(train) [53][960/3757] lr: 1.000e-03 eta: 13:41:43 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.8856 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2071 loss: 1.2071 2022/06/30 06:15:59 - mmengine - INFO - Epoch(train) [53][980/3757] lr: 1.000e-03 eta: 13:41:37 time: 0.260 data_time: 0.053 memory: 6404 grad_norm: 5.3461 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4963 loss: 1.4963 2022/06/30 06:16:04 - mmengine - INFO - Epoch(train) [53][1000/3757] lr: 1.000e-03 eta: 13:41:32 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 7.4725 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.2165 loss: 1.2165 2022/06/30 06:16:10 - mmengine - INFO - Epoch(train) [53][1020/3757] lr: 1.000e-03 eta: 13:41:27 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.6032 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0497 loss: 1.0497 2022/06/30 06:16:15 - mmengine - INFO - Epoch(train) [53][1040/3757] lr: 1.000e-03 eta: 13:41:21 time: 0.249 data_time: 0.023 memory: 6404 grad_norm: 7.8712 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3622 loss: 1.3622 2022/06/30 06:16:21 - mmengine - INFO - Epoch(train) [53][1060/3757] lr: 1.000e-03 eta: 13:41:15 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 6.5755 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3529 loss: 1.3529 2022/06/30 06:16:26 - mmengine - INFO - Epoch(train) [53][1080/3757] lr: 1.000e-03 eta: 13:41:09 time: 0.274 data_time: 0.014 memory: 6404 grad_norm: 7.5368 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2630 loss: 1.2630 2022/06/30 06:16:31 - mmengine - INFO - Epoch(train) [53][1100/3757] lr: 1.000e-03 eta: 13:41:04 time: 0.246 data_time: 0.013 memory: 6404 grad_norm: 6.5074 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9716 loss: 0.9716 2022/06/30 06:16:37 - mmengine - INFO - Epoch(train) [53][1120/3757] lr: 1.000e-03 eta: 13:40:58 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 6.1237 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3413 loss: 1.3413 2022/06/30 06:16:42 - mmengine - INFO - Epoch(train) [53][1140/3757] lr: 1.000e-03 eta: 13:40:53 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 7.7345 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3291 loss: 1.3291 2022/06/30 06:16:48 - mmengine - INFO - Epoch(train) [53][1160/3757] lr: 1.000e-03 eta: 13:40:47 time: 0.270 data_time: 0.045 memory: 6404 grad_norm: 7.3624 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3460 loss: 1.3460 2022/06/30 06:16:53 - mmengine - INFO - Epoch(train) [53][1180/3757] lr: 1.000e-03 eta: 13:40:42 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 6.8897 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8221 loss: 0.8221 2022/06/30 06:16:59 - mmengine - INFO - Epoch(train) [53][1200/3757] lr: 1.000e-03 eta: 13:40:37 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 7.2232 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2547 loss: 1.2547 2022/06/30 06:17:05 - mmengine - INFO - Epoch(train) [53][1220/3757] lr: 1.000e-03 eta: 13:40:31 time: 0.256 data_time: 0.019 memory: 6404 grad_norm: 7.8302 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4212 loss: 1.4212 2022/06/30 06:17:10 - mmengine - INFO - Epoch(train) [53][1240/3757] lr: 1.000e-03 eta: 13:40:25 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 5.9311 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9899 loss: 0.9899 2022/06/30 06:17:16 - mmengine - INFO - Epoch(train) [53][1260/3757] lr: 1.000e-03 eta: 13:40:20 time: 0.280 data_time: 0.007 memory: 6404 grad_norm: 6.3106 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1196 loss: 1.1196 2022/06/30 06:17:21 - mmengine - INFO - Epoch(train) [53][1280/3757] lr: 1.000e-03 eta: 13:40:14 time: 0.312 data_time: 0.008 memory: 6404 grad_norm: 7.7599 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1546 loss: 1.1546 2022/06/30 06:17:26 - mmengine - INFO - Epoch(train) [53][1300/3757] lr: 1.000e-03 eta: 13:40:09 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 6.8104 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4757 loss: 1.4757 2022/06/30 06:17:32 - mmengine - INFO - Epoch(train) [53][1320/3757] lr: 1.000e-03 eta: 13:40:03 time: 0.256 data_time: 0.020 memory: 6404 grad_norm: 6.8434 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2633 loss: 1.2633 2022/06/30 06:17:37 - mmengine - INFO - Epoch(train) [53][1340/3757] lr: 1.000e-03 eta: 13:39:57 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 6.5088 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4921 loss: 1.4921 2022/06/30 06:17:43 - mmengine - INFO - Epoch(train) [53][1360/3757] lr: 1.000e-03 eta: 13:39:52 time: 0.348 data_time: 0.012 memory: 6404 grad_norm: 8.2255 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3858 loss: 1.3858 2022/06/30 06:17:49 - mmengine - INFO - Epoch(train) [53][1380/3757] lr: 1.000e-03 eta: 13:39:47 time: 0.271 data_time: 0.007 memory: 6404 grad_norm: 5.9012 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3946 loss: 1.3946 2022/06/30 06:17:54 - mmengine - INFO - Epoch(train) [53][1400/3757] lr: 1.000e-03 eta: 13:39:42 time: 0.249 data_time: 0.019 memory: 6404 grad_norm: 7.6900 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9138 loss: 0.9138 2022/06/30 06:18:00 - mmengine - INFO - Epoch(train) [53][1420/3757] lr: 1.000e-03 eta: 13:39:36 time: 0.387 data_time: 0.006 memory: 6404 grad_norm: 7.0473 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3180 loss: 1.3180 2022/06/30 06:18:05 - mmengine - INFO - Epoch(train) [53][1440/3757] lr: 1.000e-03 eta: 13:39:30 time: 0.265 data_time: 0.006 memory: 6404 grad_norm: 5.9072 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2176 loss: 1.2176 2022/06/30 06:18:11 - mmengine - INFO - Epoch(train) [53][1460/3757] lr: 1.000e-03 eta: 13:39:25 time: 0.252 data_time: 0.017 memory: 6404 grad_norm: 5.6472 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9548 loss: 0.9548 2022/06/30 06:18:17 - mmengine - INFO - Epoch(train) [53][1480/3757] lr: 1.000e-03 eta: 13:39:20 time: 0.839 data_time: 0.012 memory: 6404 grad_norm: 6.3073 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4956 loss: 1.4956 2022/06/30 06:18:22 - mmengine - INFO - Epoch(train) [53][1500/3757] lr: 1.000e-03 eta: 13:39:14 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.9613 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2375 loss: 1.2375 2022/06/30 06:18:28 - mmengine - INFO - Epoch(train) [53][1520/3757] lr: 1.000e-03 eta: 13:39:09 time: 0.327 data_time: 0.013 memory: 6404 grad_norm: 7.1081 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1828 loss: 1.1828 2022/06/30 06:18:33 - mmengine - INFO - Epoch(train) [53][1540/3757] lr: 1.000e-03 eta: 13:39:03 time: 0.272 data_time: 0.008 memory: 6404 grad_norm: 6.8904 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3372 loss: 1.3372 2022/06/30 06:18:38 - mmengine - INFO - Epoch(train) [53][1560/3757] lr: 1.000e-03 eta: 13:38:57 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.1105 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3994 loss: 1.3994 2022/06/30 06:18:44 - mmengine - INFO - Epoch(train) [53][1580/3757] lr: 1.000e-03 eta: 13:38:52 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 6.2209 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5489 loss: 1.5489 2022/06/30 06:18:49 - mmengine - INFO - Epoch(train) [53][1600/3757] lr: 1.000e-03 eta: 13:38:46 time: 0.264 data_time: 0.010 memory: 6404 grad_norm: 6.7480 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1233 loss: 1.1233 2022/06/30 06:18:54 - mmengine - INFO - Epoch(train) [53][1620/3757] lr: 1.000e-03 eta: 13:38:41 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.8545 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2715 loss: 1.2715 2022/06/30 06:18:59 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 06:19:00 - mmengine - INFO - Epoch(train) [53][1640/3757] lr: 1.000e-03 eta: 13:38:35 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 6.8044 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4294 loss: 1.4294 2022/06/30 06:19:06 - mmengine - INFO - Epoch(train) [53][1660/3757] lr: 1.000e-03 eta: 13:38:30 time: 0.291 data_time: 0.007 memory: 6404 grad_norm: 6.4727 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7113 loss: 1.7113 2022/06/30 06:19:11 - mmengine - INFO - Epoch(train) [53][1680/3757] lr: 1.000e-03 eta: 13:38:24 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 6.8321 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3118 loss: 1.3118 2022/06/30 06:19:17 - mmengine - INFO - Epoch(train) [53][1700/3757] lr: 1.000e-03 eta: 13:38:19 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 6.5410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4926 loss: 1.4926 2022/06/30 06:19:23 - mmengine - INFO - Epoch(train) [53][1720/3757] lr: 1.000e-03 eta: 13:38:14 time: 0.342 data_time: 0.006 memory: 6404 grad_norm: 8.1931 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4284 loss: 1.4284 2022/06/30 06:19:28 - mmengine - INFO - Epoch(train) [53][1740/3757] lr: 1.000e-03 eta: 13:38:08 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.4897 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9229 loss: 0.9229 2022/06/30 06:19:34 - mmengine - INFO - Epoch(train) [53][1760/3757] lr: 1.000e-03 eta: 13:38:03 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 6.6995 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2723 loss: 1.2723 2022/06/30 06:19:39 - mmengine - INFO - Epoch(train) [53][1780/3757] lr: 1.000e-03 eta: 13:37:57 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 6.7979 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1776 loss: 1.1776 2022/06/30 06:19:44 - mmengine - INFO - Epoch(train) [53][1800/3757] lr: 1.000e-03 eta: 13:37:52 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 6.5291 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2523 loss: 1.2523 2022/06/30 06:19:50 - mmengine - INFO - Epoch(train) [53][1820/3757] lr: 1.000e-03 eta: 13:37:46 time: 0.266 data_time: 0.023 memory: 6404 grad_norm: 6.0201 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2623 loss: 1.2623 2022/06/30 06:19:55 - mmengine - INFO - Epoch(train) [53][1840/3757] lr: 1.000e-03 eta: 13:37:40 time: 0.255 data_time: 0.037 memory: 6404 grad_norm: 7.2113 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6041 loss: 1.6041 2022/06/30 06:20:00 - mmengine - INFO - Epoch(train) [53][1860/3757] lr: 1.000e-03 eta: 13:37:34 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 6.0120 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1849 loss: 1.1849 2022/06/30 06:20:06 - mmengine - INFO - Epoch(train) [53][1880/3757] lr: 1.000e-03 eta: 13:37:29 time: 0.245 data_time: 0.017 memory: 6404 grad_norm: 7.5523 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3894 loss: 1.3894 2022/06/30 06:20:12 - mmengine - INFO - Epoch(train) [53][1900/3757] lr: 1.000e-03 eta: 13:37:24 time: 0.263 data_time: 0.013 memory: 6404 grad_norm: 7.4355 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3049 loss: 1.3049 2022/06/30 06:20:17 - mmengine - INFO - Epoch(train) [53][1920/3757] lr: 1.000e-03 eta: 13:37:18 time: 0.249 data_time: 0.014 memory: 6404 grad_norm: 7.6788 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3187 loss: 1.3187 2022/06/30 06:20:23 - mmengine - INFO - Epoch(train) [53][1940/3757] lr: 1.000e-03 eta: 13:37:13 time: 0.245 data_time: 0.012 memory: 6404 grad_norm: 6.9661 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0803 loss: 1.0803 2022/06/30 06:20:28 - mmengine - INFO - Epoch(train) [53][1960/3757] lr: 1.000e-03 eta: 13:37:07 time: 0.260 data_time: 0.017 memory: 6404 grad_norm: 5.9774 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1350 loss: 1.1350 2022/06/30 06:20:33 - mmengine - INFO - Epoch(train) [53][1980/3757] lr: 1.000e-03 eta: 13:37:01 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.1359 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0057 loss: 1.0057 2022/06/30 06:20:39 - mmengine - INFO - Epoch(train) [53][2000/3757] lr: 1.000e-03 eta: 13:36:56 time: 0.259 data_time: 0.014 memory: 6404 grad_norm: 6.7870 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2862 loss: 1.2862 2022/06/30 06:20:44 - mmengine - INFO - Epoch(train) [53][2020/3757] lr: 1.000e-03 eta: 13:36:50 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 8.1098 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1768 loss: 1.1768 2022/06/30 06:20:49 - mmengine - INFO - Epoch(train) [53][2040/3757] lr: 1.000e-03 eta: 13:36:44 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.5376 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6482 loss: 1.6482 2022/06/30 06:20:55 - mmengine - INFO - Epoch(train) [53][2060/3757] lr: 1.000e-03 eta: 13:36:39 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 6.6982 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2005 loss: 1.2005 2022/06/30 06:21:00 - mmengine - INFO - Epoch(train) [53][2080/3757] lr: 1.000e-03 eta: 13:36:33 time: 0.255 data_time: 0.014 memory: 6404 grad_norm: 7.2329 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1824 loss: 1.1824 2022/06/30 06:21:06 - mmengine - INFO - Epoch(train) [53][2100/3757] lr: 1.000e-03 eta: 13:36:28 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.7176 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2113 loss: 1.2113 2022/06/30 06:21:11 - mmengine - INFO - Epoch(train) [53][2120/3757] lr: 1.000e-03 eta: 13:36:22 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 6.8744 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4294 loss: 1.4294 2022/06/30 06:21:17 - mmengine - INFO - Epoch(train) [53][2140/3757] lr: 1.000e-03 eta: 13:36:17 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 6.8949 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3878 loss: 1.3878 2022/06/30 06:21:22 - mmengine - INFO - Epoch(train) [53][2160/3757] lr: 1.000e-03 eta: 13:36:11 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 7.1198 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0160 loss: 2.0160 2022/06/30 06:21:28 - mmengine - INFO - Epoch(train) [53][2180/3757] lr: 1.000e-03 eta: 13:36:06 time: 0.551 data_time: 0.007 memory: 6404 grad_norm: 7.4464 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1086 loss: 1.1086 2022/06/30 06:21:34 - mmengine - INFO - Epoch(train) [53][2200/3757] lr: 1.000e-03 eta: 13:36:01 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 6.5613 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2471 loss: 1.2471 2022/06/30 06:21:39 - mmengine - INFO - Epoch(train) [53][2220/3757] lr: 1.000e-03 eta: 13:35:55 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.6289 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7154 loss: 1.7154 2022/06/30 06:21:45 - mmengine - INFO - Epoch(train) [53][2240/3757] lr: 1.000e-03 eta: 13:35:50 time: 0.282 data_time: 0.008 memory: 6404 grad_norm: 7.2222 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4082 loss: 1.4082 2022/06/30 06:21:51 - mmengine - INFO - Epoch(train) [53][2260/3757] lr: 1.000e-03 eta: 13:35:45 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.8393 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3929 loss: 1.3929 2022/06/30 06:21:56 - mmengine - INFO - Epoch(train) [53][2280/3757] lr: 1.000e-03 eta: 13:35:39 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.2759 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9942 loss: 0.9942 2022/06/30 06:22:01 - mmengine - INFO - Epoch(train) [53][2300/3757] lr: 1.000e-03 eta: 13:35:33 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 7.2639 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5257 loss: 1.5257 2022/06/30 06:22:07 - mmengine - INFO - Epoch(train) [53][2320/3757] lr: 1.000e-03 eta: 13:35:28 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.4478 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4229 loss: 1.4229 2022/06/30 06:22:12 - mmengine - INFO - Epoch(train) [53][2340/3757] lr: 1.000e-03 eta: 13:35:22 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.7179 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6147 loss: 1.6147 2022/06/30 06:22:17 - mmengine - INFO - Epoch(train) [53][2360/3757] lr: 1.000e-03 eta: 13:35:16 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 6.6073 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1895 loss: 1.1895 2022/06/30 06:22:23 - mmengine - INFO - Epoch(train) [53][2380/3757] lr: 1.000e-03 eta: 13:35:11 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 7.4037 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5127 loss: 1.5127 2022/06/30 06:22:29 - mmengine - INFO - Epoch(train) [53][2400/3757] lr: 1.000e-03 eta: 13:35:06 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.3269 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7960 loss: 1.7960 2022/06/30 06:22:34 - mmengine - INFO - Epoch(train) [53][2420/3757] lr: 1.000e-03 eta: 13:35:00 time: 0.266 data_time: 0.011 memory: 6404 grad_norm: 6.6901 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3942 loss: 1.3942 2022/06/30 06:22:39 - mmengine - INFO - Epoch(train) [53][2440/3757] lr: 1.000e-03 eta: 13:34:54 time: 0.241 data_time: 0.007 memory: 6404 grad_norm: 6.8010 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3677 loss: 1.3677 2022/06/30 06:22:45 - mmengine - INFO - Epoch(train) [53][2460/3757] lr: 1.000e-03 eta: 13:34:49 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 7.0482 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2605 loss: 1.2605 2022/06/30 06:22:50 - mmengine - INFO - Epoch(train) [53][2480/3757] lr: 1.000e-03 eta: 13:34:43 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 6.8615 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9960 loss: 0.9960 2022/06/30 06:22:56 - mmengine - INFO - Epoch(train) [53][2500/3757] lr: 1.000e-03 eta: 13:34:38 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.2892 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5163 loss: 1.5163 2022/06/30 06:23:02 - mmengine - INFO - Epoch(train) [53][2520/3757] lr: 1.000e-03 eta: 13:34:32 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.8112 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3966 loss: 1.3966 2022/06/30 06:23:07 - mmengine - INFO - Epoch(train) [53][2540/3757] lr: 1.000e-03 eta: 13:34:27 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 6.2624 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9277 loss: 0.9277 2022/06/30 06:23:13 - mmengine - INFO - Epoch(train) [53][2560/3757] lr: 1.000e-03 eta: 13:34:22 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 6.5740 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2096 loss: 1.2096 2022/06/30 06:23:18 - mmengine - INFO - Epoch(train) [53][2580/3757] lr: 1.000e-03 eta: 13:34:16 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.2003 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4049 loss: 1.4049 2022/06/30 06:23:24 - mmengine - INFO - Epoch(train) [53][2600/3757] lr: 1.000e-03 eta: 13:34:11 time: 0.260 data_time: 0.015 memory: 6404 grad_norm: 6.9352 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5027 loss: 1.5027 2022/06/30 06:23:30 - mmengine - INFO - Epoch(train) [53][2620/3757] lr: 1.000e-03 eta: 13:34:05 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.6477 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0460 loss: 1.0460 2022/06/30 06:23:34 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 06:23:35 - mmengine - INFO - Epoch(train) [53][2640/3757] lr: 1.000e-03 eta: 13:34:00 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 7.1240 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0102 loss: 1.0102 2022/06/30 06:23:40 - mmengine - INFO - Epoch(train) [53][2660/3757] lr: 1.000e-03 eta: 13:33:54 time: 0.259 data_time: 0.013 memory: 6404 grad_norm: 7.4338 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3766 loss: 1.3766 2022/06/30 06:23:45 - mmengine - INFO - Epoch(train) [53][2680/3757] lr: 1.000e-03 eta: 13:33:48 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.1415 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0450 loss: 1.0450 2022/06/30 06:23:51 - mmengine - INFO - Epoch(train) [53][2700/3757] lr: 1.000e-03 eta: 13:33:43 time: 0.253 data_time: 0.019 memory: 6404 grad_norm: 7.0033 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0453 loss: 1.0453 2022/06/30 06:23:56 - mmengine - INFO - Epoch(train) [53][2720/3757] lr: 1.000e-03 eta: 13:33:37 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 5.5421 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4228 loss: 1.4228 2022/06/30 06:24:01 - mmengine - INFO - Epoch(train) [53][2740/3757] lr: 1.000e-03 eta: 13:33:31 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 6.8795 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3953 loss: 1.3953 2022/06/30 06:24:07 - mmengine - INFO - Epoch(train) [53][2760/3757] lr: 1.000e-03 eta: 13:33:26 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.5153 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3985 loss: 1.3985 2022/06/30 06:24:13 - mmengine - INFO - Epoch(train) [53][2780/3757] lr: 1.000e-03 eta: 13:33:20 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 7.2338 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2455 loss: 1.2455 2022/06/30 06:24:19 - mmengine - INFO - Epoch(train) [53][2800/3757] lr: 1.000e-03 eta: 13:33:16 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.9740 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3316 loss: 1.3316 2022/06/30 06:24:24 - mmengine - INFO - Epoch(train) [53][2820/3757] lr: 1.000e-03 eta: 13:33:10 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 7.7704 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4922 loss: 1.4922 2022/06/30 06:24:30 - mmengine - INFO - Epoch(train) [53][2840/3757] lr: 1.000e-03 eta: 13:33:04 time: 0.260 data_time: 0.025 memory: 6404 grad_norm: 7.5032 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4086 loss: 1.4086 2022/06/30 06:24:35 - mmengine - INFO - Epoch(train) [53][2860/3757] lr: 1.000e-03 eta: 13:32:59 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.1104 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3445 loss: 1.3445 2022/06/30 06:24:40 - mmengine - INFO - Epoch(train) [53][2880/3757] lr: 1.000e-03 eta: 13:32:53 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 7.7395 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0681 loss: 1.0681 2022/06/30 06:24:46 - mmengine - INFO - Epoch(train) [53][2900/3757] lr: 1.000e-03 eta: 13:32:47 time: 0.251 data_time: 0.015 memory: 6404 grad_norm: 6.8414 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4879 loss: 1.4879 2022/06/30 06:24:51 - mmengine - INFO - Epoch(train) [53][2920/3757] lr: 1.000e-03 eta: 13:32:42 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 7.9263 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4406 loss: 1.4406 2022/06/30 06:24:56 - mmengine - INFO - Epoch(train) [53][2940/3757] lr: 1.000e-03 eta: 13:32:36 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 8.4106 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3795 loss: 1.3795 2022/06/30 06:25:02 - mmengine - INFO - Epoch(train) [53][2960/3757] lr: 1.000e-03 eta: 13:32:31 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.6212 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3492 loss: 1.3492 2022/06/30 06:25:08 - mmengine - INFO - Epoch(train) [53][2980/3757] lr: 1.000e-03 eta: 13:32:26 time: 0.452 data_time: 0.009 memory: 6404 grad_norm: 6.7095 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1889 loss: 1.1889 2022/06/30 06:25:13 - mmengine - INFO - Epoch(train) [53][3000/3757] lr: 1.000e-03 eta: 13:32:20 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 6.9854 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2927 loss: 1.2927 2022/06/30 06:25:19 - mmengine - INFO - Epoch(train) [53][3020/3757] lr: 1.000e-03 eta: 13:32:14 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 7.3194 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5121 loss: 1.5121 2022/06/30 06:25:24 - mmengine - INFO - Epoch(train) [53][3040/3757] lr: 1.000e-03 eta: 13:32:09 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.7983 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1821 loss: 1.1821 2022/06/30 06:25:31 - mmengine - INFO - Epoch(train) [53][3060/3757] lr: 1.000e-03 eta: 13:32:04 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 7.0989 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4398 loss: 1.4398 2022/06/30 06:25:36 - mmengine - INFO - Epoch(train) [53][3080/3757] lr: 1.000e-03 eta: 13:31:58 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 5.8465 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4681 loss: 1.4681 2022/06/30 06:25:41 - mmengine - INFO - Epoch(train) [53][3100/3757] lr: 1.000e-03 eta: 13:31:53 time: 0.288 data_time: 0.008 memory: 6404 grad_norm: 6.8217 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3763 loss: 1.3763 2022/06/30 06:25:46 - mmengine - INFO - Epoch(train) [53][3120/3757] lr: 1.000e-03 eta: 13:31:47 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 6.9236 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1024 loss: 1.1024 2022/06/30 06:25:51 - mmengine - INFO - Epoch(train) [53][3140/3757] lr: 1.000e-03 eta: 13:31:41 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 6.1858 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4167 loss: 1.4167 2022/06/30 06:25:57 - mmengine - INFO - Epoch(train) [53][3160/3757] lr: 1.000e-03 eta: 13:31:35 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 7.4839 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7720 loss: 1.7720 2022/06/30 06:26:02 - mmengine - INFO - Epoch(train) [53][3180/3757] lr: 1.000e-03 eta: 13:31:30 time: 0.257 data_time: 0.015 memory: 6404 grad_norm: 8.1775 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3436 loss: 1.3436 2022/06/30 06:26:07 - mmengine - INFO - Epoch(train) [53][3200/3757] lr: 1.000e-03 eta: 13:31:24 time: 0.269 data_time: 0.078 memory: 6404 grad_norm: 6.2292 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4118 loss: 1.4118 2022/06/30 06:26:13 - mmengine - INFO - Epoch(train) [53][3220/3757] lr: 1.000e-03 eta: 13:31:19 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 7.4300 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7379 loss: 1.7379 2022/06/30 06:26:18 - mmengine - INFO - Epoch(train) [53][3240/3757] lr: 1.000e-03 eta: 13:31:13 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.6675 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4087 loss: 1.4087 2022/06/30 06:26:24 - mmengine - INFO - Epoch(train) [53][3260/3757] lr: 1.000e-03 eta: 13:31:08 time: 0.258 data_time: 0.068 memory: 6404 grad_norm: 5.4851 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1563 loss: 1.1563 2022/06/30 06:26:30 - mmengine - INFO - Epoch(train) [53][3280/3757] lr: 1.000e-03 eta: 13:31:03 time: 0.336 data_time: 0.008 memory: 6404 grad_norm: 6.6183 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5130 loss: 1.5130 2022/06/30 06:26:35 - mmengine - INFO - Epoch(train) [53][3300/3757] lr: 1.000e-03 eta: 13:30:57 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.8869 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8839 loss: 0.8839 2022/06/30 06:26:41 - mmengine - INFO - Epoch(train) [53][3320/3757] lr: 1.000e-03 eta: 13:30:51 time: 0.252 data_time: 0.052 memory: 6404 grad_norm: 7.8062 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2133 loss: 1.2133 2022/06/30 06:26:46 - mmengine - INFO - Epoch(train) [53][3340/3757] lr: 1.000e-03 eta: 13:30:46 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 7.5200 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2457 loss: 1.2457 2022/06/30 06:26:51 - mmengine - INFO - Epoch(train) [53][3360/3757] lr: 1.000e-03 eta: 13:30:40 time: 0.239 data_time: 0.006 memory: 6404 grad_norm: 6.1111 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6606 loss: 1.6606 2022/06/30 06:26:57 - mmengine - INFO - Epoch(train) [53][3380/3757] lr: 1.000e-03 eta: 13:30:35 time: 0.785 data_time: 0.590 memory: 6404 grad_norm: 5.8798 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2860 loss: 1.2860 2022/06/30 06:27:02 - mmengine - INFO - Epoch(train) [53][3400/3757] lr: 1.000e-03 eta: 13:30:29 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 7.1753 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1006 loss: 1.1006 2022/06/30 06:27:07 - mmengine - INFO - Epoch(train) [53][3420/3757] lr: 1.000e-03 eta: 13:30:23 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.4996 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7194 loss: 1.7194 2022/06/30 06:27:14 - mmengine - INFO - Epoch(train) [53][3440/3757] lr: 1.000e-03 eta: 13:30:18 time: 0.247 data_time: 0.027 memory: 6404 grad_norm: 8.4177 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3586 loss: 1.3586 2022/06/30 06:27:19 - mmengine - INFO - Epoch(train) [53][3460/3757] lr: 1.000e-03 eta: 13:30:13 time: 0.252 data_time: 0.015 memory: 6404 grad_norm: 6.2962 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3412 loss: 1.3412 2022/06/30 06:27:24 - mmengine - INFO - Epoch(train) [53][3480/3757] lr: 1.000e-03 eta: 13:30:07 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.7806 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2490 loss: 1.2490 2022/06/30 06:27:29 - mmengine - INFO - Epoch(train) [53][3500/3757] lr: 1.000e-03 eta: 13:30:01 time: 0.245 data_time: 0.031 memory: 6404 grad_norm: 6.8232 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2042 loss: 1.2042 2022/06/30 06:27:35 - mmengine - INFO - Epoch(train) [53][3520/3757] lr: 1.000e-03 eta: 13:29:56 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 6.5989 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4315 loss: 1.4315 2022/06/30 06:27:40 - mmengine - INFO - Epoch(train) [53][3540/3757] lr: 1.000e-03 eta: 13:29:50 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.9840 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3617 loss: 1.3617 2022/06/30 06:27:46 - mmengine - INFO - Epoch(train) [53][3560/3757] lr: 1.000e-03 eta: 13:29:44 time: 0.253 data_time: 0.020 memory: 6404 grad_norm: 8.1384 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0503 loss: 1.0503 2022/06/30 06:27:51 - mmengine - INFO - Epoch(train) [53][3580/3757] lr: 1.000e-03 eta: 13:29:39 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 7.7388 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2375 loss: 1.2375 2022/06/30 06:27:56 - mmengine - INFO - Epoch(train) [53][3600/3757] lr: 1.000e-03 eta: 13:29:33 time: 0.251 data_time: 0.025 memory: 6404 grad_norm: 6.8021 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3091 loss: 1.3091 2022/06/30 06:28:02 - mmengine - INFO - Epoch(train) [53][3620/3757] lr: 1.000e-03 eta: 13:29:27 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 7.4521 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2716 loss: 1.2716 2022/06/30 06:28:06 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 06:28:07 - mmengine - INFO - Epoch(train) [53][3640/3757] lr: 1.000e-03 eta: 13:29:22 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 6.6124 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8049 loss: 0.8049 2022/06/30 06:28:13 - mmengine - INFO - Epoch(train) [53][3660/3757] lr: 1.000e-03 eta: 13:29:17 time: 0.783 data_time: 0.592 memory: 6404 grad_norm: 6.5317 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2328 loss: 1.2328 2022/06/30 06:28:18 - mmengine - INFO - Epoch(train) [53][3680/3757] lr: 1.000e-03 eta: 13:29:11 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 5.9843 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5633 loss: 1.5633 2022/06/30 06:28:24 - mmengine - INFO - Epoch(train) [53][3700/3757] lr: 1.000e-03 eta: 13:29:05 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 5.6780 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9032 loss: 0.9032 2022/06/30 06:28:30 - mmengine - INFO - Epoch(train) [53][3720/3757] lr: 1.000e-03 eta: 13:29:00 time: 0.267 data_time: 0.043 memory: 6404 grad_norm: 7.2436 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2593 loss: 1.2593 2022/06/30 06:28:36 - mmengine - INFO - Epoch(train) [53][3740/3757] lr: 1.000e-03 eta: 13:28:55 time: 0.245 data_time: 0.009 memory: 6404 grad_norm: 6.1902 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0339 loss: 1.0339 2022/06/30 06:28:40 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 06:28:47 - mmengine - INFO - Epoch(val) [53][20/310] eta: 0:01:28 time: 0.098 data_time: 0.011 memory: 6404 2022/06/30 06:28:53 - mmengine - INFO - Epoch(val) [53][40/310] eta: 0:01:24 time: 0.388 data_time: 0.308 memory: 1479 2022/06/30 06:28:57 - mmengine - INFO - Epoch(val) [53][60/310] eta: 0:00:23 time: 0.082 data_time: 0.005 memory: 1479 2022/06/30 06:29:03 - mmengine - INFO - Epoch(val) [53][80/310] eta: 0:01:14 time: 0.080 data_time: 0.006 memory: 1479 2022/06/30 06:29:09 - mmengine - INFO - Epoch(val) [53][100/310] eta: 0:00:59 time: 1.111 data_time: 1.032 memory: 1479 2022/06/30 06:29:12 - mmengine - INFO - Epoch(val) [53][120/310] eta: 0:00:25 time: 0.083 data_time: 0.006 memory: 1479 2022/06/30 06:29:19 - mmengine - INFO - Epoch(val) [53][140/310] eta: 0:00:55 time: 0.084 data_time: 0.009 memory: 1479 2022/06/30 06:29:25 - mmengine - INFO - Epoch(val) [53][160/310] eta: 0:00:43 time: 1.513 data_time: 1.436 memory: 1479 2022/06/30 06:29:29 - mmengine - INFO - Epoch(val) [53][180/310] eta: 0:00:33 time: 0.080 data_time: 0.005 memory: 1479 2022/06/30 06:29:35 - mmengine - INFO - Epoch(val) [53][200/310] eta: 0:00:31 time: 0.082 data_time: 0.006 memory: 1479 2022/06/30 06:29:40 - mmengine - INFO - Epoch(val) [53][220/310] eta: 0:00:26 time: 0.853 data_time: 0.764 memory: 1479 2022/06/30 06:29:44 - mmengine - INFO - Epoch(val) [53][240/310] eta: 0:00:16 time: 0.083 data_time: 0.005 memory: 1479 2022/06/30 06:29:50 - mmengine - INFO - Epoch(val) [53][260/310] eta: 0:00:15 time: 0.089 data_time: 0.007 memory: 1479 2022/06/30 06:29:55 - mmengine - INFO - Epoch(val) [53][280/310] eta: 0:00:08 time: 0.670 data_time: 0.580 memory: 1479 2022/06/30 06:29:59 - mmengine - INFO - Epoch(val) [53][300/310] eta: 0:00:02 time: 0.085 data_time: 0.005 memory: 1479 2022/06/30 06:30:03 - mmengine - INFO - Epoch(val) [53][310/310] acc/top1: 0.6614 acc/top5: 0.8659 acc/mean1: 0.6613 2022/06/30 06:30:11 - mmengine - INFO - Epoch(train) [54][20/3757] lr: 1.000e-03 eta: 13:28:46 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 6.9261 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2392 loss: 1.2392 2022/06/30 06:30:18 - mmengine - INFO - Epoch(train) [54][40/3757] lr: 1.000e-03 eta: 13:28:41 time: 0.255 data_time: 0.016 memory: 6404 grad_norm: 6.6368 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0658 loss: 1.0658 2022/06/30 06:30:23 - mmengine - INFO - Epoch(train) [54][60/3757] lr: 1.000e-03 eta: 13:28:35 time: 0.240 data_time: 0.006 memory: 6404 grad_norm: 7.7503 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2208 loss: 1.2208 2022/06/30 06:30:29 - mmengine - INFO - Epoch(train) [54][80/3757] lr: 1.000e-03 eta: 13:28:30 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 7.0642 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8312 loss: 0.8312 2022/06/30 06:30:34 - mmengine - INFO - Epoch(train) [54][100/3757] lr: 1.000e-03 eta: 13:28:24 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.7841 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1664 loss: 1.1664 2022/06/30 06:30:40 - mmengine - INFO - Epoch(train) [54][120/3757] lr: 1.000e-03 eta: 13:28:19 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 7.4503 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0189 loss: 1.0189 2022/06/30 06:30:45 - mmengine - INFO - Epoch(train) [54][140/3757] lr: 1.000e-03 eta: 13:28:13 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 7.0025 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5075 loss: 1.5075 2022/06/30 06:30:51 - mmengine - INFO - Epoch(train) [54][160/3757] lr: 1.000e-03 eta: 13:28:08 time: 0.286 data_time: 0.007 memory: 6404 grad_norm: 7.8435 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1818 loss: 1.1818 2022/06/30 06:30:56 - mmengine - INFO - Epoch(train) [54][180/3757] lr: 1.000e-03 eta: 13:28:02 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 6.1737 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3118 loss: 1.3118 2022/06/30 06:31:02 - mmengine - INFO - Epoch(train) [54][200/3757] lr: 1.000e-03 eta: 13:27:57 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.4077 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.3713 loss: 1.3713 2022/06/30 06:31:08 - mmengine - INFO - Epoch(train) [54][220/3757] lr: 1.000e-03 eta: 13:27:52 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.8200 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5530 loss: 1.5530 2022/06/30 06:31:13 - mmengine - INFO - Epoch(train) [54][240/3757] lr: 1.000e-03 eta: 13:27:46 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 6.2857 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2085 loss: 1.2085 2022/06/30 06:31:18 - mmengine - INFO - Epoch(train) [54][260/3757] lr: 1.000e-03 eta: 13:27:40 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.3819 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1795 loss: 1.1795 2022/06/30 06:31:24 - mmengine - INFO - Epoch(train) [54][280/3757] lr: 1.000e-03 eta: 13:27:35 time: 0.268 data_time: 0.010 memory: 6404 grad_norm: 5.9273 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1391 loss: 1.1391 2022/06/30 06:31:29 - mmengine - INFO - Epoch(train) [54][300/3757] lr: 1.000e-03 eta: 13:27:29 time: 0.294 data_time: 0.007 memory: 6404 grad_norm: 7.2303 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2408 loss: 1.2408 2022/06/30 06:31:34 - mmengine - INFO - Epoch(train) [54][320/3757] lr: 1.000e-03 eta: 13:27:23 time: 0.245 data_time: 0.012 memory: 6404 grad_norm: 5.2001 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0935 loss: 1.0935 2022/06/30 06:31:40 - mmengine - INFO - Epoch(train) [54][340/3757] lr: 1.000e-03 eta: 13:27:18 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 6.4047 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2716 loss: 1.2716 2022/06/30 06:31:45 - mmengine - INFO - Epoch(train) [54][360/3757] lr: 1.000e-03 eta: 13:27:12 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 7.9067 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4102 loss: 1.4102 2022/06/30 06:31:50 - mmengine - INFO - Epoch(train) [54][380/3757] lr: 1.000e-03 eta: 13:27:06 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 7.0924 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1886 loss: 1.1886 2022/06/30 06:31:55 - mmengine - INFO - Epoch(train) [54][400/3757] lr: 1.000e-03 eta: 13:27:00 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 6.0831 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1768 loss: 1.1768 2022/06/30 06:32:01 - mmengine - INFO - Epoch(train) [54][420/3757] lr: 1.000e-03 eta: 13:26:55 time: 0.345 data_time: 0.153 memory: 6404 grad_norm: 6.1538 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1224 loss: 1.1224 2022/06/30 06:32:07 - mmengine - INFO - Epoch(train) [54][440/3757] lr: 1.000e-03 eta: 13:26:50 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 6.1653 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2211 loss: 1.2211 2022/06/30 06:32:12 - mmengine - INFO - Epoch(train) [54][460/3757] lr: 1.000e-03 eta: 13:26:44 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 6.7949 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5816 loss: 1.5816 2022/06/30 06:32:17 - mmengine - INFO - Epoch(train) [54][480/3757] lr: 1.000e-03 eta: 13:26:39 time: 0.245 data_time: 0.023 memory: 6404 grad_norm: 6.1522 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0594 loss: 1.0594 2022/06/30 06:32:23 - mmengine - INFO - Epoch(train) [54][500/3757] lr: 1.000e-03 eta: 13:26:33 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 7.6063 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4038 loss: 1.4038 2022/06/30 06:32:28 - mmengine - INFO - Epoch(train) [54][520/3757] lr: 1.000e-03 eta: 13:26:28 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 7.7418 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2803 loss: 1.2803 2022/06/30 06:32:34 - mmengine - INFO - Epoch(train) [54][540/3757] lr: 1.000e-03 eta: 13:26:22 time: 0.254 data_time: 0.041 memory: 6404 grad_norm: 8.0344 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0769 loss: 1.0769 2022/06/30 06:32:39 - mmengine - INFO - Epoch(train) [54][560/3757] lr: 1.000e-03 eta: 13:26:17 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 6.2374 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3509 loss: 1.3509 2022/06/30 06:32:45 - mmengine - INFO - Epoch(train) [54][580/3757] lr: 1.000e-03 eta: 13:26:11 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 6.7792 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1884 loss: 1.1884 2022/06/30 06:32:50 - mmengine - INFO - Epoch(train) [54][600/3757] lr: 1.000e-03 eta: 13:26:05 time: 0.244 data_time: 0.022 memory: 6404 grad_norm: 6.7931 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0300 loss: 1.0300 2022/06/30 06:32:56 - mmengine - INFO - Epoch(train) [54][620/3757] lr: 1.000e-03 eta: 13:26:00 time: 0.269 data_time: 0.010 memory: 6404 grad_norm: 6.8004 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2212 loss: 1.2212 2022/06/30 06:33:01 - mmengine - INFO - Epoch(train) [54][640/3757] lr: 1.000e-03 eta: 13:25:54 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.5011 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2637 loss: 1.2637 2022/06/30 06:33:06 - mmengine - INFO - Epoch(train) [54][660/3757] lr: 1.000e-03 eta: 13:25:48 time: 0.263 data_time: 0.056 memory: 6404 grad_norm: 7.2943 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4310 loss: 1.4310 2022/06/30 06:33:12 - mmengine - INFO - Epoch(train) [54][680/3757] lr: 1.000e-03 eta: 13:25:43 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.1346 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7621 loss: 1.7621 2022/06/30 06:33:17 - mmengine - INFO - Epoch(train) [54][700/3757] lr: 1.000e-03 eta: 13:25:37 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 7.1231 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4713 loss: 1.4713 2022/06/30 06:33:23 - mmengine - INFO - Epoch(train) [54][720/3757] lr: 1.000e-03 eta: 13:25:32 time: 0.241 data_time: 0.018 memory: 6404 grad_norm: 7.2132 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0391 loss: 1.0391 2022/06/30 06:33:29 - mmengine - INFO - Epoch(train) [54][740/3757] lr: 1.000e-03 eta: 13:25:27 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 7.1201 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0390 loss: 1.0390 2022/06/30 06:33:34 - mmengine - INFO - Epoch(train) [54][760/3757] lr: 1.000e-03 eta: 13:25:21 time: 0.239 data_time: 0.023 memory: 6404 grad_norm: 5.2947 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8950 loss: 0.8950 2022/06/30 06:33:40 - mmengine - INFO - Epoch(train) [54][780/3757] lr: 1.000e-03 eta: 13:25:16 time: 0.265 data_time: 0.011 memory: 6404 grad_norm: 6.4616 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3413 loss: 1.3413 2022/06/30 06:33:45 - mmengine - INFO - Epoch(train) [54][800/3757] lr: 1.000e-03 eta: 13:25:10 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 6.2819 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5074 loss: 1.5074 2022/06/30 06:33:50 - mmengine - INFO - Epoch(train) [54][820/3757] lr: 1.000e-03 eta: 13:25:04 time: 0.256 data_time: 0.025 memory: 6404 grad_norm: 6.5050 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8859 loss: 0.8859 2022/06/30 06:33:56 - mmengine - INFO - Epoch(train) [54][840/3757] lr: 1.000e-03 eta: 13:24:59 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 6.4074 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2631 loss: 1.2631 2022/06/30 06:34:01 - mmengine - INFO - Epoch(train) [54][860/3757] lr: 1.000e-03 eta: 13:24:53 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.4265 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3493 loss: 1.3493 2022/06/30 06:34:06 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 06:34:07 - mmengine - INFO - Epoch(train) [54][880/3757] lr: 1.000e-03 eta: 13:24:48 time: 0.246 data_time: 0.027 memory: 6404 grad_norm: 6.0562 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3196 loss: 1.3196 2022/06/30 06:34:13 - mmengine - INFO - Epoch(train) [54][900/3757] lr: 1.000e-03 eta: 13:24:43 time: 0.293 data_time: 0.007 memory: 6404 grad_norm: 6.8137 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1878 loss: 1.1878 2022/06/30 06:34:18 - mmengine - INFO - Epoch(train) [54][920/3757] lr: 1.000e-03 eta: 13:24:37 time: 0.263 data_time: 0.023 memory: 6404 grad_norm: 6.2450 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1982 loss: 1.1982 2022/06/30 06:34:23 - mmengine - INFO - Epoch(train) [54][940/3757] lr: 1.000e-03 eta: 13:24:31 time: 0.264 data_time: 0.020 memory: 6404 grad_norm: 6.0512 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0717 loss: 1.0717 2022/06/30 06:34:29 - mmengine - INFO - Epoch(train) [54][960/3757] lr: 1.000e-03 eta: 13:24:26 time: 0.274 data_time: 0.011 memory: 6404 grad_norm: 5.7186 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2188 loss: 1.2188 2022/06/30 06:34:34 - mmengine - INFO - Epoch(train) [54][980/3757] lr: 1.000e-03 eta: 13:24:20 time: 0.258 data_time: 0.013 memory: 6404 grad_norm: 7.3287 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.1837 loss: 1.1837 2022/06/30 06:34:40 - mmengine - INFO - Epoch(train) [54][1000/3757] lr: 1.000e-03 eta: 13:24:15 time: 0.249 data_time: 0.017 memory: 6404 grad_norm: 7.5032 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4666 loss: 1.4666 2022/06/30 06:34:45 - mmengine - INFO - Epoch(train) [54][1020/3757] lr: 1.000e-03 eta: 13:24:09 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 5.5018 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3540 loss: 1.3540 2022/06/30 06:34:51 - mmengine - INFO - Epoch(train) [54][1040/3757] lr: 1.000e-03 eta: 13:24:04 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 6.9864 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4161 loss: 1.4161 2022/06/30 06:34:57 - mmengine - INFO - Epoch(train) [54][1060/3757] lr: 1.000e-03 eta: 13:23:59 time: 0.256 data_time: 0.066 memory: 6404 grad_norm: 6.6727 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1386 loss: 1.1386 2022/06/30 06:35:02 - mmengine - INFO - Epoch(train) [54][1080/3757] lr: 1.000e-03 eta: 13:23:53 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 6.9249 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3912 loss: 1.3912 2022/06/30 06:35:08 - mmengine - INFO - Epoch(train) [54][1100/3757] lr: 1.000e-03 eta: 13:23:48 time: 0.260 data_time: 0.013 memory: 6404 grad_norm: 8.1436 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0457 loss: 1.0457 2022/06/30 06:35:13 - mmengine - INFO - Epoch(train) [54][1120/3757] lr: 1.000e-03 eta: 13:23:42 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 7.2352 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2658 loss: 1.2658 2022/06/30 06:35:18 - mmengine - INFO - Epoch(train) [54][1140/3757] lr: 1.000e-03 eta: 13:23:36 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 6.8444 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2596 loss: 1.2596 2022/06/30 06:35:24 - mmengine - INFO - Epoch(train) [54][1160/3757] lr: 1.000e-03 eta: 13:23:31 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 6.6791 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4212 loss: 1.4212 2022/06/30 06:35:29 - mmengine - INFO - Epoch(train) [54][1180/3757] lr: 1.000e-03 eta: 13:23:25 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.2758 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2019 loss: 1.2019 2022/06/30 06:35:34 - mmengine - INFO - Epoch(train) [54][1200/3757] lr: 1.000e-03 eta: 13:23:19 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 7.1115 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4476 loss: 1.4476 2022/06/30 06:35:40 - mmengine - INFO - Epoch(train) [54][1220/3757] lr: 1.000e-03 eta: 13:23:14 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 7.0463 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2514 loss: 1.2514 2022/06/30 06:35:46 - mmengine - INFO - Epoch(train) [54][1240/3757] lr: 1.000e-03 eta: 13:23:09 time: 0.247 data_time: 0.032 memory: 6404 grad_norm: 7.0854 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0869 loss: 1.0869 2022/06/30 06:35:51 - mmengine - INFO - Epoch(train) [54][1260/3757] lr: 1.000e-03 eta: 13:23:03 time: 0.263 data_time: 0.011 memory: 6404 grad_norm: 6.1778 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3984 loss: 1.3984 2022/06/30 06:35:57 - mmengine - INFO - Epoch(train) [54][1280/3757] lr: 1.000e-03 eta: 13:22:58 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 5.7927 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6378 loss: 1.6378 2022/06/30 06:36:03 - mmengine - INFO - Epoch(train) [54][1300/3757] lr: 1.000e-03 eta: 13:22:52 time: 0.268 data_time: 0.013 memory: 6404 grad_norm: 4.7860 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2483 loss: 1.2483 2022/06/30 06:36:08 - mmengine - INFO - Epoch(train) [54][1320/3757] lr: 1.000e-03 eta: 13:22:47 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 6.2678 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2566 loss: 1.2566 2022/06/30 06:36:13 - mmengine - INFO - Epoch(train) [54][1340/3757] lr: 1.000e-03 eta: 13:22:41 time: 0.271 data_time: 0.020 memory: 6404 grad_norm: 5.9518 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2490 loss: 1.2490 2022/06/30 06:36:18 - mmengine - INFO - Epoch(train) [54][1360/3757] lr: 1.000e-03 eta: 13:22:35 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 5.7360 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4734 loss: 1.4734 2022/06/30 06:36:23 - mmengine - INFO - Epoch(train) [54][1380/3757] lr: 1.000e-03 eta: 13:22:29 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 5.6723 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2404 loss: 1.2404 2022/06/30 06:36:29 - mmengine - INFO - Epoch(train) [54][1400/3757] lr: 1.000e-03 eta: 13:22:24 time: 0.352 data_time: 0.012 memory: 6404 grad_norm: 7.4130 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3162 loss: 1.3162 2022/06/30 06:36:35 - mmengine - INFO - Epoch(train) [54][1420/3757] lr: 1.000e-03 eta: 13:22:19 time: 0.245 data_time: 0.015 memory: 6404 grad_norm: 6.9708 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1789 loss: 1.1789 2022/06/30 06:36:40 - mmengine - INFO - Epoch(train) [54][1440/3757] lr: 1.000e-03 eta: 13:22:13 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 7.8402 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1880 loss: 1.1880 2022/06/30 06:36:46 - mmengine - INFO - Epoch(train) [54][1460/3757] lr: 1.000e-03 eta: 13:22:08 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.6273 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2638 loss: 1.2638 2022/06/30 06:36:51 - mmengine - INFO - Epoch(train) [54][1480/3757] lr: 1.000e-03 eta: 13:22:02 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 7.3491 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2975 loss: 1.2975 2022/06/30 06:36:57 - mmengine - INFO - Epoch(train) [54][1500/3757] lr: 1.000e-03 eta: 13:21:57 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.6459 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4195 loss: 1.4195 2022/06/30 06:37:02 - mmengine - INFO - Epoch(train) [54][1520/3757] lr: 1.000e-03 eta: 13:21:51 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 7.4816 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3654 loss: 1.3654 2022/06/30 06:37:07 - mmengine - INFO - Epoch(train) [54][1540/3757] lr: 1.000e-03 eta: 13:21:45 time: 0.246 data_time: 0.020 memory: 6404 grad_norm: 6.8711 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1834 loss: 1.1834 2022/06/30 06:37:13 - mmengine - INFO - Epoch(train) [54][1560/3757] lr: 1.000e-03 eta: 13:21:40 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 7.0187 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1772 loss: 1.1772 2022/06/30 06:37:18 - mmengine - INFO - Epoch(train) [54][1580/3757] lr: 1.000e-03 eta: 13:21:34 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 7.2759 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1526 loss: 1.1526 2022/06/30 06:37:23 - mmengine - INFO - Epoch(train) [54][1600/3757] lr: 1.000e-03 eta: 13:21:28 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.7602 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1687 loss: 1.1687 2022/06/30 06:37:29 - mmengine - INFO - Epoch(train) [54][1620/3757] lr: 1.000e-03 eta: 13:21:23 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.7619 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2003 loss: 1.2003 2022/06/30 06:37:35 - mmengine - INFO - Epoch(train) [54][1640/3757] lr: 1.000e-03 eta: 13:21:18 time: 0.441 data_time: 0.007 memory: 6404 grad_norm: 6.8711 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3922 loss: 1.3922 2022/06/30 06:37:40 - mmengine - INFO - Epoch(train) [54][1660/3757] lr: 1.000e-03 eta: 13:21:12 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 8.1209 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2747 loss: 1.2747 2022/06/30 06:37:46 - mmengine - INFO - Epoch(train) [54][1680/3757] lr: 1.000e-03 eta: 13:21:07 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.1529 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2986 loss: 1.2986 2022/06/30 06:37:51 - mmengine - INFO - Epoch(train) [54][1700/3757] lr: 1.000e-03 eta: 13:21:01 time: 0.263 data_time: 0.009 memory: 6404 grad_norm: 6.4024 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1476 loss: 1.1476 2022/06/30 06:37:56 - mmengine - INFO - Epoch(train) [54][1720/3757] lr: 1.000e-03 eta: 13:20:55 time: 0.268 data_time: 0.014 memory: 6404 grad_norm: 7.6742 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4434 loss: 1.4434 2022/06/30 06:38:02 - mmengine - INFO - Epoch(train) [54][1740/3757] lr: 1.000e-03 eta: 13:20:50 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.4557 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3667 loss: 1.3667 2022/06/30 06:38:08 - mmengine - INFO - Epoch(train) [54][1760/3757] lr: 1.000e-03 eta: 13:20:45 time: 0.278 data_time: 0.012 memory: 6404 grad_norm: 6.7051 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2223 loss: 1.2223 2022/06/30 06:38:13 - mmengine - INFO - Epoch(train) [54][1780/3757] lr: 1.000e-03 eta: 13:20:39 time: 0.265 data_time: 0.024 memory: 6404 grad_norm: 7.0295 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4426 loss: 1.4426 2022/06/30 06:38:19 - mmengine - INFO - Epoch(train) [54][1800/3757] lr: 1.000e-03 eta: 13:20:34 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 7.2178 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3495 loss: 1.3495 2022/06/30 06:38:24 - mmengine - INFO - Epoch(train) [54][1820/3757] lr: 1.000e-03 eta: 13:20:28 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.9213 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3717 loss: 1.3717 2022/06/30 06:38:30 - mmengine - INFO - Epoch(train) [54][1840/3757] lr: 1.000e-03 eta: 13:20:23 time: 0.265 data_time: 0.021 memory: 6404 grad_norm: 7.5083 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8447 loss: 0.8447 2022/06/30 06:38:35 - mmengine - INFO - Epoch(train) [54][1860/3757] lr: 1.000e-03 eta: 13:20:17 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.9139 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0596 loss: 1.0596 2022/06/30 06:38:40 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 06:38:40 - mmengine - INFO - Epoch(train) [54][1880/3757] lr: 1.000e-03 eta: 13:20:11 time: 0.260 data_time: 0.012 memory: 6404 grad_norm: 7.1787 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1980 loss: 1.1980 2022/06/30 06:38:46 - mmengine - INFO - Epoch(train) [54][1900/3757] lr: 1.000e-03 eta: 13:20:06 time: 0.249 data_time: 0.022 memory: 6404 grad_norm: 6.5819 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3903 loss: 1.3903 2022/06/30 06:38:52 - mmengine - INFO - Epoch(train) [54][1920/3757] lr: 1.000e-03 eta: 13:20:00 time: 0.350 data_time: 0.007 memory: 6404 grad_norm: 6.5793 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4525 loss: 1.4525 2022/06/30 06:38:57 - mmengine - INFO - Epoch(train) [54][1940/3757] lr: 1.000e-03 eta: 13:19:55 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 7.7734 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2977 loss: 1.2977 2022/06/30 06:39:03 - mmengine - INFO - Epoch(train) [54][1960/3757] lr: 1.000e-03 eta: 13:19:49 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 7.7721 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3229 loss: 1.3229 2022/06/30 06:39:08 - mmengine - INFO - Epoch(train) [54][1980/3757] lr: 1.000e-03 eta: 13:19:44 time: 0.274 data_time: 0.006 memory: 6404 grad_norm: 6.4221 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1357 loss: 1.1357 2022/06/30 06:39:14 - mmengine - INFO - Epoch(train) [54][2000/3757] lr: 1.000e-03 eta: 13:19:39 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.1431 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1701 loss: 1.1701 2022/06/30 06:39:19 - mmengine - INFO - Epoch(train) [54][2020/3757] lr: 1.000e-03 eta: 13:19:33 time: 0.254 data_time: 0.036 memory: 6404 grad_norm: 7.2635 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2985 loss: 1.2985 2022/06/30 06:39:24 - mmengine - INFO - Epoch(train) [54][2040/3757] lr: 1.000e-03 eta: 13:19:27 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 8.4251 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0006 loss: 1.0006 2022/06/30 06:39:30 - mmengine - INFO - Epoch(train) [54][2060/3757] lr: 1.000e-03 eta: 13:19:22 time: 0.279 data_time: 0.012 memory: 6404 grad_norm: 6.4197 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3965 loss: 1.3965 2022/06/30 06:39:36 - mmengine - INFO - Epoch(train) [54][2080/3757] lr: 1.000e-03 eta: 13:19:17 time: 0.258 data_time: 0.069 memory: 6404 grad_norm: 7.0208 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2505 loss: 1.2505 2022/06/30 06:39:41 - mmengine - INFO - Epoch(train) [54][2100/3757] lr: 1.000e-03 eta: 13:19:11 time: 0.276 data_time: 0.007 memory: 6404 grad_norm: 6.5172 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2958 loss: 1.2958 2022/06/30 06:39:46 - mmengine - INFO - Epoch(train) [54][2120/3757] lr: 1.000e-03 eta: 13:19:05 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.7134 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0340 loss: 1.0340 2022/06/30 06:39:52 - mmengine - INFO - Epoch(train) [54][2140/3757] lr: 1.000e-03 eta: 13:19:00 time: 0.245 data_time: 0.046 memory: 6404 grad_norm: 6.7202 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2689 loss: 1.2689 2022/06/30 06:39:58 - mmengine - INFO - Epoch(train) [54][2160/3757] lr: 1.000e-03 eta: 13:18:55 time: 0.665 data_time: 0.006 memory: 6404 grad_norm: 7.9139 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0998 loss: 1.0998 2022/06/30 06:40:03 - mmengine - INFO - Epoch(train) [54][2180/3757] lr: 1.000e-03 eta: 13:18:49 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.6607 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3497 loss: 1.3497 2022/06/30 06:40:09 - mmengine - INFO - Epoch(train) [54][2200/3757] lr: 1.000e-03 eta: 13:18:43 time: 0.261 data_time: 0.058 memory: 6404 grad_norm: 6.1688 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2731 loss: 1.2731 2022/06/30 06:40:14 - mmengine - INFO - Epoch(train) [54][2220/3757] lr: 1.000e-03 eta: 13:18:38 time: 0.779 data_time: 0.007 memory: 6404 grad_norm: 5.3302 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2690 loss: 1.2690 2022/06/30 06:40:20 - mmengine - INFO - Epoch(train) [54][2240/3757] lr: 1.000e-03 eta: 13:18:33 time: 0.350 data_time: 0.007 memory: 6404 grad_norm: 7.2998 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4484 loss: 1.4484 2022/06/30 06:40:25 - mmengine - INFO - Epoch(train) [54][2260/3757] lr: 1.000e-03 eta: 13:18:27 time: 0.264 data_time: 0.041 memory: 6404 grad_norm: 7.7896 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2719 loss: 1.2719 2022/06/30 06:40:31 - mmengine - INFO - Epoch(train) [54][2280/3757] lr: 1.000e-03 eta: 13:18:22 time: 0.690 data_time: 0.006 memory: 6404 grad_norm: 7.1335 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3556 loss: 1.3556 2022/06/30 06:40:37 - mmengine - INFO - Epoch(train) [54][2300/3757] lr: 1.000e-03 eta: 13:18:16 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 5.8995 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3578 loss: 1.3578 2022/06/30 06:40:42 - mmengine - INFO - Epoch(train) [54][2320/3757] lr: 1.000e-03 eta: 13:18:11 time: 0.246 data_time: 0.034 memory: 6404 grad_norm: 6.6108 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2835 loss: 1.2835 2022/06/30 06:40:47 - mmengine - INFO - Epoch(train) [54][2340/3757] lr: 1.000e-03 eta: 13:18:05 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 6.5549 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2482 loss: 1.2482 2022/06/30 06:40:53 - mmengine - INFO - Epoch(train) [54][2360/3757] lr: 1.000e-03 eta: 13:17:59 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 7.4257 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2321 loss: 1.2321 2022/06/30 06:40:58 - mmengine - INFO - Epoch(train) [54][2380/3757] lr: 1.000e-03 eta: 13:17:54 time: 0.247 data_time: 0.037 memory: 6404 grad_norm: 5.3710 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6655 loss: 1.6655 2022/06/30 06:41:03 - mmengine - INFO - Epoch(train) [54][2400/3757] lr: 1.000e-03 eta: 13:17:48 time: 0.377 data_time: 0.007 memory: 6404 grad_norm: 7.0491 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3409 loss: 1.3409 2022/06/30 06:41:08 - mmengine - INFO - Epoch(train) [54][2420/3757] lr: 1.000e-03 eta: 13:17:42 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 7.1032 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5305 loss: 1.5305 2022/06/30 06:41:15 - mmengine - INFO - Epoch(train) [54][2440/3757] lr: 1.000e-03 eta: 13:17:38 time: 0.244 data_time: 0.017 memory: 6404 grad_norm: 6.9574 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2805 loss: 1.2805 2022/06/30 06:41:20 - mmengine - INFO - Epoch(train) [54][2460/3757] lr: 1.000e-03 eta: 13:17:32 time: 0.277 data_time: 0.008 memory: 6404 grad_norm: 5.8650 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3937 loss: 1.3937 2022/06/30 06:41:26 - mmengine - INFO - Epoch(train) [54][2480/3757] lr: 1.000e-03 eta: 13:17:26 time: 0.263 data_time: 0.075 memory: 6404 grad_norm: 6.5494 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2922 loss: 1.2922 2022/06/30 06:41:31 - mmengine - INFO - Epoch(train) [54][2500/3757] lr: 1.000e-03 eta: 13:17:21 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 6.9703 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1914 loss: 1.1914 2022/06/30 06:41:36 - mmengine - INFO - Epoch(train) [54][2520/3757] lr: 1.000e-03 eta: 13:17:15 time: 0.267 data_time: 0.010 memory: 6404 grad_norm: 5.6537 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3343 loss: 1.3343 2022/06/30 06:41:41 - mmengine - INFO - Epoch(train) [54][2540/3757] lr: 1.000e-03 eta: 13:17:09 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 7.6053 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0998 loss: 1.0998 2022/06/30 06:41:47 - mmengine - INFO - Epoch(train) [54][2560/3757] lr: 1.000e-03 eta: 13:17:04 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 9.0407 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1911 loss: 1.1911 2022/06/30 06:41:53 - mmengine - INFO - Epoch(train) [54][2580/3757] lr: 1.000e-03 eta: 13:16:59 time: 0.275 data_time: 0.029 memory: 6404 grad_norm: 6.9439 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6261 loss: 1.6261 2022/06/30 06:41:58 - mmengine - INFO - Epoch(train) [54][2600/3757] lr: 1.000e-03 eta: 13:16:53 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 6.6888 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9783 loss: 0.9783 2022/06/30 06:42:04 - mmengine - INFO - Epoch(train) [54][2620/3757] lr: 1.000e-03 eta: 13:16:47 time: 0.280 data_time: 0.079 memory: 6404 grad_norm: 7.7954 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3772 loss: 1.3772 2022/06/30 06:42:09 - mmengine - INFO - Epoch(train) [54][2640/3757] lr: 1.000e-03 eta: 13:16:42 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 7.4553 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4196 loss: 1.4196 2022/06/30 06:42:14 - mmengine - INFO - Epoch(train) [54][2660/3757] lr: 1.000e-03 eta: 13:16:36 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.1724 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1697 loss: 1.1697 2022/06/30 06:42:20 - mmengine - INFO - Epoch(train) [54][2680/3757] lr: 1.000e-03 eta: 13:16:31 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 7.5996 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4405 loss: 1.4405 2022/06/30 06:42:25 - mmengine - INFO - Epoch(train) [54][2700/3757] lr: 1.000e-03 eta: 13:16:25 time: 0.482 data_time: 0.011 memory: 6404 grad_norm: 6.9855 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2960 loss: 1.2960 2022/06/30 06:42:31 - mmengine - INFO - Epoch(train) [54][2720/3757] lr: 1.000e-03 eta: 13:16:20 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.5069 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3851 loss: 1.3851 2022/06/30 06:42:36 - mmengine - INFO - Epoch(train) [54][2740/3757] lr: 1.000e-03 eta: 13:16:14 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 6.6443 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1917 loss: 1.1917 2022/06/30 06:42:42 - mmengine - INFO - Epoch(train) [54][2760/3757] lr: 1.000e-03 eta: 13:16:09 time: 0.442 data_time: 0.007 memory: 6404 grad_norm: 7.5269 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5987 loss: 1.5987 2022/06/30 06:42:47 - mmengine - INFO - Epoch(train) [54][2780/3757] lr: 1.000e-03 eta: 13:16:03 time: 0.252 data_time: 0.017 memory: 6404 grad_norm: 6.9589 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3596 loss: 1.3596 2022/06/30 06:42:53 - mmengine - INFO - Epoch(train) [54][2800/3757] lr: 1.000e-03 eta: 13:15:58 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 7.0733 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2548 loss: 1.2548 2022/06/30 06:42:58 - mmengine - INFO - Epoch(train) [54][2820/3757] lr: 1.000e-03 eta: 13:15:52 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 6.7459 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3458 loss: 1.3458 2022/06/30 06:43:03 - mmengine - INFO - Epoch(train) [54][2840/3757] lr: 1.000e-03 eta: 13:15:46 time: 0.259 data_time: 0.012 memory: 6404 grad_norm: 8.5831 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.8823 loss: 1.8823 2022/06/30 06:43:09 - mmengine - INFO - Epoch(train) [54][2860/3757] lr: 1.000e-03 eta: 13:15:40 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 7.3258 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4322 loss: 1.4322 2022/06/30 06:43:14 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 06:43:14 - mmengine - INFO - Epoch(train) [54][2880/3757] lr: 1.000e-03 eta: 13:15:35 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 7.6453 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6411 loss: 1.6411 2022/06/30 06:43:19 - mmengine - INFO - Epoch(train) [54][2900/3757] lr: 1.000e-03 eta: 13:15:29 time: 0.249 data_time: 0.017 memory: 6404 grad_norm: 6.8765 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4712 loss: 1.4712 2022/06/30 06:43:25 - mmengine - INFO - Epoch(train) [54][2920/3757] lr: 1.000e-03 eta: 13:15:24 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 7.3100 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2259 loss: 1.2259 2022/06/30 06:43:30 - mmengine - INFO - Epoch(train) [54][2940/3757] lr: 1.000e-03 eta: 13:15:18 time: 0.289 data_time: 0.007 memory: 6404 grad_norm: 7.0915 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0101 loss: 1.0101 2022/06/30 06:43:35 - mmengine - INFO - Epoch(train) [54][2960/3757] lr: 1.000e-03 eta: 13:15:12 time: 0.250 data_time: 0.015 memory: 6404 grad_norm: 6.8573 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2541 loss: 1.2541 2022/06/30 06:43:41 - mmengine - INFO - Epoch(train) [54][2980/3757] lr: 1.000e-03 eta: 13:15:07 time: 0.280 data_time: 0.014 memory: 6404 grad_norm: 6.3143 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1464 loss: 1.1464 2022/06/30 06:43:46 - mmengine - INFO - Epoch(train) [54][3000/3757] lr: 1.000e-03 eta: 13:15:01 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 7.1701 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2900 loss: 1.2900 2022/06/30 06:43:52 - mmengine - INFO - Epoch(train) [54][3020/3757] lr: 1.000e-03 eta: 13:14:56 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 6.4561 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3175 loss: 1.3175 2022/06/30 06:43:57 - mmengine - INFO - Epoch(train) [54][3040/3757] lr: 1.000e-03 eta: 13:14:50 time: 0.252 data_time: 0.017 memory: 6404 grad_norm: 7.7711 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3712 loss: 1.3712 2022/06/30 06:44:02 - mmengine - INFO - Epoch(train) [54][3060/3757] lr: 1.000e-03 eta: 13:14:44 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.8349 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5555 loss: 1.5555 2022/06/30 06:44:08 - mmengine - INFO - Epoch(train) [54][3080/3757] lr: 1.000e-03 eta: 13:14:39 time: 0.261 data_time: 0.014 memory: 6404 grad_norm: 5.8414 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3314 loss: 1.3314 2022/06/30 06:44:14 - mmengine - INFO - Epoch(train) [54][3100/3757] lr: 1.000e-03 eta: 13:14:33 time: 0.259 data_time: 0.012 memory: 6404 grad_norm: 7.2857 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3159 loss: 1.3159 2022/06/30 06:44:19 - mmengine - INFO - Epoch(train) [54][3120/3757] lr: 1.000e-03 eta: 13:14:28 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.1663 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9835 loss: 0.9835 2022/06/30 06:44:24 - mmengine - INFO - Epoch(train) [54][3140/3757] lr: 1.000e-03 eta: 13:14:22 time: 0.261 data_time: 0.020 memory: 6404 grad_norm: 6.8278 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0560 loss: 1.0560 2022/06/30 06:44:30 - mmengine - INFO - Epoch(train) [54][3160/3757] lr: 1.000e-03 eta: 13:14:17 time: 0.656 data_time: 0.013 memory: 6404 grad_norm: 6.4362 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2128 loss: 1.2128 2022/06/30 06:44:36 - mmengine - INFO - Epoch(train) [54][3180/3757] lr: 1.000e-03 eta: 13:14:11 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 7.4460 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2631 loss: 1.2631 2022/06/30 06:44:41 - mmengine - INFO - Epoch(train) [54][3200/3757] lr: 1.000e-03 eta: 13:14:06 time: 0.264 data_time: 0.010 memory: 6404 grad_norm: 6.9352 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4221 loss: 1.4221 2022/06/30 06:44:47 - mmengine - INFO - Epoch(train) [54][3220/3757] lr: 1.000e-03 eta: 13:14:00 time: 0.254 data_time: 0.016 memory: 6404 grad_norm: 6.7222 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2876 loss: 1.2876 2022/06/30 06:44:53 - mmengine - INFO - Epoch(train) [54][3240/3757] lr: 1.000e-03 eta: 13:13:55 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.2354 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3574 loss: 1.3574 2022/06/30 06:44:58 - mmengine - INFO - Epoch(train) [54][3260/3757] lr: 1.000e-03 eta: 13:13:50 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 6.4725 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0496 loss: 1.0496 2022/06/30 06:45:03 - mmengine - INFO - Epoch(train) [54][3280/3757] lr: 1.000e-03 eta: 13:13:44 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.5415 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2714 loss: 1.2714 2022/06/30 06:45:09 - mmengine - INFO - Epoch(train) [54][3300/3757] lr: 1.000e-03 eta: 13:13:38 time: 0.261 data_time: 0.011 memory: 6404 grad_norm: 7.2865 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1931 loss: 1.1931 2022/06/30 06:45:14 - mmengine - INFO - Epoch(train) [54][3320/3757] lr: 1.000e-03 eta: 13:13:33 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 7.1086 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9950 loss: 0.9950 2022/06/30 06:45:19 - mmengine - INFO - Epoch(train) [54][3340/3757] lr: 1.000e-03 eta: 13:13:27 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 7.1085 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1316 loss: 1.1316 2022/06/30 06:45:25 - mmengine - INFO - Epoch(train) [54][3360/3757] lr: 1.000e-03 eta: 13:13:22 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 6.8998 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2603 loss: 1.2603 2022/06/30 06:45:30 - mmengine - INFO - Epoch(train) [54][3380/3757] lr: 1.000e-03 eta: 13:13:16 time: 0.372 data_time: 0.014 memory: 6404 grad_norm: 5.8558 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3423 loss: 1.3423 2022/06/30 06:45:36 - mmengine - INFO - Epoch(train) [54][3400/3757] lr: 1.000e-03 eta: 13:13:10 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.7979 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5246 loss: 1.5246 2022/06/30 06:45:42 - mmengine - INFO - Epoch(train) [54][3420/3757] lr: 1.000e-03 eta: 13:13:06 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 7.7114 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8514 loss: 0.8514 2022/06/30 06:45:48 - mmengine - INFO - Epoch(train) [54][3440/3757] lr: 1.000e-03 eta: 13:13:00 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 7.9905 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.0852 loss: 1.0852 2022/06/30 06:45:53 - mmengine - INFO - Epoch(train) [54][3460/3757] lr: 1.000e-03 eta: 13:12:55 time: 0.256 data_time: 0.016 memory: 6404 grad_norm: 7.0377 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1467 loss: 1.1467 2022/06/30 06:45:58 - mmengine - INFO - Epoch(train) [54][3480/3757] lr: 1.000e-03 eta: 13:12:49 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 6.1219 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3172 loss: 1.3172 2022/06/30 06:46:03 - mmengine - INFO - Epoch(train) [54][3500/3757] lr: 1.000e-03 eta: 13:12:43 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 6.1601 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3432 loss: 1.3432 2022/06/30 06:46:08 - mmengine - INFO - Epoch(train) [54][3520/3757] lr: 1.000e-03 eta: 13:12:37 time: 0.261 data_time: 0.017 memory: 6404 grad_norm: 7.4867 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4185 loss: 1.4185 2022/06/30 06:46:14 - mmengine - INFO - Epoch(train) [54][3540/3757] lr: 1.000e-03 eta: 13:12:31 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.0816 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3217 loss: 1.3217 2022/06/30 06:46:19 - mmengine - INFO - Epoch(train) [54][3560/3757] lr: 1.000e-03 eta: 13:12:26 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 6.7655 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4778 loss: 1.4778 2022/06/30 06:46:25 - mmengine - INFO - Epoch(train) [54][3580/3757] lr: 1.000e-03 eta: 13:12:21 time: 0.262 data_time: 0.032 memory: 6404 grad_norm: 7.5589 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6160 loss: 1.6160 2022/06/30 06:46:30 - mmengine - INFO - Epoch(train) [54][3600/3757] lr: 1.000e-03 eta: 13:12:15 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 7.3656 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1504 loss: 1.1504 2022/06/30 06:46:36 - mmengine - INFO - Epoch(train) [54][3620/3757] lr: 1.000e-03 eta: 13:12:09 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 7.6698 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1058 loss: 1.1058 2022/06/30 06:46:41 - mmengine - INFO - Epoch(train) [54][3640/3757] lr: 1.000e-03 eta: 13:12:04 time: 0.264 data_time: 0.030 memory: 6404 grad_norm: 7.2407 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2346 loss: 1.2346 2022/06/30 06:46:47 - mmengine - INFO - Epoch(train) [54][3660/3757] lr: 1.000e-03 eta: 13:11:58 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 7.0787 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2498 loss: 1.2498 2022/06/30 06:46:53 - mmengine - INFO - Epoch(train) [54][3680/3757] lr: 1.000e-03 eta: 13:11:53 time: 0.273 data_time: 0.006 memory: 6404 grad_norm: 6.3207 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3789 loss: 1.3789 2022/06/30 06:46:58 - mmengine - INFO - Epoch(train) [54][3700/3757] lr: 1.000e-03 eta: 13:11:48 time: 0.259 data_time: 0.040 memory: 6404 grad_norm: 6.2391 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4065 loss: 1.4065 2022/06/30 06:47:04 - mmengine - INFO - Epoch(train) [54][3720/3757] lr: 1.000e-03 eta: 13:11:42 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 6.8530 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3140 loss: 1.3140 2022/06/30 06:47:09 - mmengine - INFO - Epoch(train) [54][3740/3757] lr: 1.000e-03 eta: 13:11:37 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.6863 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3046 loss: 1.3046 2022/06/30 06:47:13 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 06:47:20 - mmengine - INFO - Epoch(val) [54][20/310] eta: 0:01:28 time: 0.126 data_time: 0.015 memory: 6404 2022/06/30 06:47:26 - mmengine - INFO - Epoch(val) [54][40/310] eta: 0:01:16 time: 0.078 data_time: 0.005 memory: 1479 2022/06/30 06:47:30 - mmengine - INFO - Epoch(val) [54][60/310] eta: 0:00:25 time: 0.080 data_time: 0.005 memory: 1479 2022/06/30 06:47:36 - mmengine - INFO - Epoch(val) [54][80/310] eta: 0:01:14 time: 0.098 data_time: 0.007 memory: 1479 2022/06/30 06:47:42 - mmengine - INFO - Epoch(val) [54][100/310] eta: 0:01:02 time: 0.666 data_time: 0.588 memory: 1479 2022/06/30 06:47:46 - mmengine - INFO - Epoch(val) [54][120/310] eta: 0:00:43 time: 0.076 data_time: 0.005 memory: 1479 2022/06/30 06:47:52 - mmengine - INFO - Epoch(val) [54][140/310] eta: 0:00:51 time: 0.082 data_time: 0.006 memory: 1479 2022/06/30 06:47:59 - mmengine - INFO - Epoch(val) [54][160/310] eta: 0:00:47 time: 1.588 data_time: 1.501 memory: 1479 2022/06/30 06:48:03 - mmengine - INFO - Epoch(val) [54][180/310] eta: 0:00:41 time: 0.077 data_time: 0.005 memory: 1479 2022/06/30 06:48:09 - mmengine - INFO - Epoch(val) [54][200/310] eta: 0:00:34 time: 0.089 data_time: 0.012 memory: 1479 2022/06/30 06:48:14 - mmengine - INFO - Epoch(val) [54][220/310] eta: 0:00:25 time: 0.088 data_time: 0.009 memory: 1479 2022/06/30 06:48:18 - mmengine - INFO - Epoch(val) [54][240/310] eta: 0:00:21 time: 0.083 data_time: 0.006 memory: 1479 2022/06/30 06:48:24 - mmengine - INFO - Epoch(val) [54][260/310] eta: 0:00:14 time: 0.082 data_time: 0.007 memory: 1479 2022/06/30 06:48:30 - mmengine - INFO - Epoch(val) [54][280/310] eta: 0:00:09 time: 0.089 data_time: 0.005 memory: 1479 2022/06/30 06:48:34 - mmengine - INFO - Epoch(val) [54][300/310] eta: 0:00:02 time: 0.078 data_time: 0.005 memory: 1479 2022/06/30 06:48:36 - mmengine - INFO - Epoch(val) [54][310/310] acc/top1: 0.6620 acc/top5: 0.8651 acc/mean1: 0.6618 2022/06/30 06:48:45 - mmengine - INFO - Epoch(train) [55][20/3757] lr: 1.000e-03 eta: 13:11:27 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 6.2869 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3057 loss: 1.3057 2022/06/30 06:48:50 - mmengine - INFO - Epoch(train) [55][40/3757] lr: 1.000e-03 eta: 13:11:22 time: 0.281 data_time: 0.007 memory: 6404 grad_norm: 7.6978 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3486 loss: 1.3486 2022/06/30 06:48:56 - mmengine - INFO - Epoch(train) [55][60/3757] lr: 1.000e-03 eta: 13:11:17 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.0979 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9957 loss: 0.9957 2022/06/30 06:49:02 - mmengine - INFO - Epoch(train) [55][80/3757] lr: 1.000e-03 eta: 13:11:11 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 6.8248 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3718 loss: 1.3718 2022/06/30 06:49:07 - mmengine - INFO - Epoch(train) [55][100/3757] lr: 1.000e-03 eta: 13:11:06 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 6.4999 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6799 loss: 1.6799 2022/06/30 06:49:13 - mmengine - INFO - Epoch(train) [55][120/3757] lr: 1.000e-03 eta: 13:11:00 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 6.6969 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0000 loss: 1.0000 2022/06/30 06:49:13 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 06:49:18 - mmengine - INFO - Epoch(train) [55][140/3757] lr: 1.000e-03 eta: 13:10:55 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 5.0246 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2154 loss: 1.2154 2022/06/30 06:49:24 - mmengine - INFO - Epoch(train) [55][160/3757] lr: 1.000e-03 eta: 13:10:49 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 7.8878 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3118 loss: 1.3118 2022/06/30 06:49:29 - mmengine - INFO - Epoch(train) [55][180/3757] lr: 1.000e-03 eta: 13:10:44 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 7.5279 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0237 loss: 1.0237 2022/06/30 06:49:35 - mmengine - INFO - Epoch(train) [55][200/3757] lr: 1.000e-03 eta: 13:10:38 time: 0.279 data_time: 0.009 memory: 6404 grad_norm: 7.4037 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1946 loss: 1.1946 2022/06/30 06:49:40 - mmengine - INFO - Epoch(train) [55][220/3757] lr: 1.000e-03 eta: 13:10:33 time: 0.244 data_time: 0.009 memory: 6404 grad_norm: 7.5424 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2846 loss: 1.2846 2022/06/30 06:49:45 - mmengine - INFO - Epoch(train) [55][240/3757] lr: 1.000e-03 eta: 13:10:27 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.6181 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2081 loss: 1.2081 2022/06/30 06:49:51 - mmengine - INFO - Epoch(train) [55][260/3757] lr: 1.000e-03 eta: 13:10:22 time: 0.259 data_time: 0.006 memory: 6404 grad_norm: 6.2733 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2857 loss: 1.2857 2022/06/30 06:49:56 - mmengine - INFO - Epoch(train) [55][280/3757] lr: 1.000e-03 eta: 13:10:16 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 5.9918 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3549 loss: 1.3549 2022/06/30 06:50:02 - mmengine - INFO - Epoch(train) [55][300/3757] lr: 1.000e-03 eta: 13:10:10 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 6.9020 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2073 loss: 1.2073 2022/06/30 06:50:08 - mmengine - INFO - Epoch(train) [55][320/3757] lr: 1.000e-03 eta: 13:10:05 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.4608 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0586 loss: 1.0586 2022/06/30 06:50:13 - mmengine - INFO - Epoch(train) [55][340/3757] lr: 1.000e-03 eta: 13:10:00 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 6.8084 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1273 loss: 1.1273 2022/06/30 06:50:19 - mmengine - INFO - Epoch(train) [55][360/3757] lr: 1.000e-03 eta: 13:09:54 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 6.9870 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3555 loss: 1.3555 2022/06/30 06:50:24 - mmengine - INFO - Epoch(train) [55][380/3757] lr: 1.000e-03 eta: 13:09:49 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 6.4648 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1330 loss: 1.1330 2022/06/30 06:50:30 - mmengine - INFO - Epoch(train) [55][400/3757] lr: 1.000e-03 eta: 13:09:43 time: 0.243 data_time: 0.006 memory: 6404 grad_norm: 5.7491 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3043 loss: 1.3043 2022/06/30 06:50:35 - mmengine - INFO - Epoch(train) [55][420/3757] lr: 1.000e-03 eta: 13:09:37 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 6.2647 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1424 loss: 1.1424 2022/06/30 06:50:40 - mmengine - INFO - Epoch(train) [55][440/3757] lr: 1.000e-03 eta: 13:09:32 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 8.6944 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3830 loss: 1.3830 2022/06/30 06:50:46 - mmengine - INFO - Epoch(train) [55][460/3757] lr: 1.000e-03 eta: 13:09:26 time: 0.261 data_time: 0.006 memory: 6404 grad_norm: 6.5514 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3033 loss: 1.3033 2022/06/30 06:50:51 - mmengine - INFO - Epoch(train) [55][480/3757] lr: 1.000e-03 eta: 13:09:21 time: 0.245 data_time: 0.019 memory: 6404 grad_norm: 6.5858 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0168 loss: 1.0168 2022/06/30 06:50:56 - mmengine - INFO - Epoch(train) [55][500/3757] lr: 1.000e-03 eta: 13:09:15 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 7.2749 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4677 loss: 1.4677 2022/06/30 06:51:02 - mmengine - INFO - Epoch(train) [55][520/3757] lr: 1.000e-03 eta: 13:09:10 time: 0.275 data_time: 0.011 memory: 6404 grad_norm: 7.2442 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9761 loss: 0.9761 2022/06/30 06:51:07 - mmengine - INFO - Epoch(train) [55][540/3757] lr: 1.000e-03 eta: 13:09:04 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 6.1211 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0735 loss: 1.0735 2022/06/30 06:51:13 - mmengine - INFO - Epoch(train) [55][560/3757] lr: 1.000e-03 eta: 13:08:59 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.0961 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1703 loss: 1.1703 2022/06/30 06:51:19 - mmengine - INFO - Epoch(train) [55][580/3757] lr: 1.000e-03 eta: 13:08:53 time: 0.263 data_time: 0.013 memory: 6404 grad_norm: 5.9374 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4619 loss: 1.4619 2022/06/30 06:51:24 - mmengine - INFO - Epoch(train) [55][600/3757] lr: 1.000e-03 eta: 13:08:48 time: 0.243 data_time: 0.014 memory: 6404 grad_norm: 6.1600 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3876 loss: 1.3876 2022/06/30 06:51:30 - mmengine - INFO - Epoch(train) [55][620/3757] lr: 1.000e-03 eta: 13:08:42 time: 0.269 data_time: 0.013 memory: 6404 grad_norm: 6.0982 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0029 loss: 1.0029 2022/06/30 06:51:35 - mmengine - INFO - Epoch(train) [55][640/3757] lr: 1.000e-03 eta: 13:08:37 time: 0.252 data_time: 0.029 memory: 6404 grad_norm: 6.9911 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1784 loss: 1.1784 2022/06/30 06:51:41 - mmengine - INFO - Epoch(train) [55][660/3757] lr: 1.000e-03 eta: 13:08:31 time: 0.380 data_time: 0.007 memory: 6404 grad_norm: 7.9416 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1218 loss: 1.1218 2022/06/30 06:51:46 - mmengine - INFO - Epoch(train) [55][680/3757] lr: 1.000e-03 eta: 13:08:26 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 6.4574 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2495 loss: 1.2495 2022/06/30 06:51:52 - mmengine - INFO - Epoch(train) [55][700/3757] lr: 1.000e-03 eta: 13:08:20 time: 0.263 data_time: 0.030 memory: 6404 grad_norm: 5.9143 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0934 loss: 1.0934 2022/06/30 06:51:57 - mmengine - INFO - Epoch(train) [55][720/3757] lr: 1.000e-03 eta: 13:08:15 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.3948 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3353 loss: 1.3353 2022/06/30 06:52:03 - mmengine - INFO - Epoch(train) [55][740/3757] lr: 1.000e-03 eta: 13:08:10 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 7.7334 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4122 loss: 1.4122 2022/06/30 06:52:10 - mmengine - INFO - Epoch(train) [55][760/3757] lr: 1.000e-03 eta: 13:08:05 time: 0.308 data_time: 0.109 memory: 6404 grad_norm: 7.0069 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4891 loss: 1.4891 2022/06/30 06:52:15 - mmengine - INFO - Epoch(train) [55][780/3757] lr: 1.000e-03 eta: 13:07:59 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 8.1853 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9417 loss: 0.9417 2022/06/30 06:52:20 - mmengine - INFO - Epoch(train) [55][800/3757] lr: 1.000e-03 eta: 13:07:53 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 7.3536 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3010 loss: 1.3010 2022/06/30 06:52:25 - mmengine - INFO - Epoch(train) [55][820/3757] lr: 1.000e-03 eta: 13:07:47 time: 0.247 data_time: 0.014 memory: 6404 grad_norm: 7.8186 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4424 loss: 1.4424 2022/06/30 06:52:30 - mmengine - INFO - Epoch(train) [55][840/3757] lr: 1.000e-03 eta: 13:07:42 time: 0.255 data_time: 0.015 memory: 6404 grad_norm: 6.9328 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3873 loss: 1.3873 2022/06/30 06:52:35 - mmengine - INFO - Epoch(train) [55][860/3757] lr: 1.000e-03 eta: 13:07:36 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 8.6716 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1328 loss: 1.1328 2022/06/30 06:52:40 - mmengine - INFO - Epoch(train) [55][880/3757] lr: 1.000e-03 eta: 13:07:30 time: 0.256 data_time: 0.013 memory: 6404 grad_norm: 6.2669 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1197 loss: 1.1197 2022/06/30 06:52:46 - mmengine - INFO - Epoch(train) [55][900/3757] lr: 1.000e-03 eta: 13:07:24 time: 0.270 data_time: 0.017 memory: 6404 grad_norm: 7.2335 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9131 loss: 0.9131 2022/06/30 06:52:52 - mmengine - INFO - Epoch(train) [55][920/3757] lr: 1.000e-03 eta: 13:07:19 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 5.8501 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4006 loss: 1.4006 2022/06/30 06:52:58 - mmengine - INFO - Epoch(train) [55][940/3757] lr: 1.000e-03 eta: 13:07:14 time: 0.251 data_time: 0.014 memory: 6404 grad_norm: 8.0495 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3956 loss: 1.3956 2022/06/30 06:53:04 - mmengine - INFO - Epoch(train) [55][960/3757] lr: 1.000e-03 eta: 13:07:09 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.5781 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3374 loss: 1.3374 2022/06/30 06:53:09 - mmengine - INFO - Epoch(train) [55][980/3757] lr: 1.000e-03 eta: 13:07:04 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 7.0045 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3393 loss: 1.3393 2022/06/30 06:53:14 - mmengine - INFO - Epoch(train) [55][1000/3757] lr: 1.000e-03 eta: 13:06:58 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 6.9885 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3102 loss: 1.3102 2022/06/30 06:53:20 - mmengine - INFO - Epoch(train) [55][1020/3757] lr: 1.000e-03 eta: 13:06:52 time: 0.258 data_time: 0.016 memory: 6404 grad_norm: 6.3814 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3310 loss: 1.3310 2022/06/30 06:53:25 - mmengine - INFO - Epoch(train) [55][1040/3757] lr: 1.000e-03 eta: 13:06:46 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 6.2290 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2443 loss: 1.2443 2022/06/30 06:53:30 - mmengine - INFO - Epoch(train) [55][1060/3757] lr: 1.000e-03 eta: 13:06:41 time: 0.247 data_time: 0.023 memory: 6404 grad_norm: 7.2247 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4053 loss: 1.4053 2022/06/30 06:53:36 - mmengine - INFO - Epoch(train) [55][1080/3757] lr: 1.000e-03 eta: 13:06:35 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 6.3394 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7505 loss: 1.7505 2022/06/30 06:53:42 - mmengine - INFO - Epoch(train) [55][1100/3757] lr: 1.000e-03 eta: 13:06:30 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 6.6941 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5244 loss: 1.5244 2022/06/30 06:53:47 - mmengine - INFO - Epoch(train) [55][1120/3757] lr: 1.000e-03 eta: 13:06:24 time: 0.258 data_time: 0.024 memory: 6404 grad_norm: 5.8868 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2706 loss: 1.2706 2022/06/30 06:53:48 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 06:53:52 - mmengine - INFO - Epoch(train) [55][1140/3757] lr: 1.000e-03 eta: 13:06:19 time: 0.264 data_time: 0.011 memory: 6404 grad_norm: 7.7752 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2373 loss: 1.2373 2022/06/30 06:53:58 - mmengine - INFO - Epoch(train) [55][1160/3757] lr: 1.000e-03 eta: 13:06:13 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 6.7989 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2191 loss: 1.2191 2022/06/30 06:54:03 - mmengine - INFO - Epoch(train) [55][1180/3757] lr: 1.000e-03 eta: 13:06:08 time: 0.249 data_time: 0.024 memory: 6404 grad_norm: 7.0645 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9416 loss: 0.9416 2022/06/30 06:54:08 - mmengine - INFO - Epoch(train) [55][1200/3757] lr: 1.000e-03 eta: 13:06:02 time: 0.259 data_time: 0.013 memory: 6404 grad_norm: 5.7808 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0118 loss: 1.0118 2022/06/30 06:54:14 - mmengine - INFO - Epoch(train) [55][1220/3757] lr: 1.000e-03 eta: 13:05:57 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.3013 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3660 loss: 1.3660 2022/06/30 06:54:19 - mmengine - INFO - Epoch(train) [55][1240/3757] lr: 1.000e-03 eta: 13:05:51 time: 0.251 data_time: 0.014 memory: 6404 grad_norm: 6.3755 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3736 loss: 1.3736 2022/06/30 06:54:25 - mmengine - INFO - Epoch(train) [55][1260/3757] lr: 1.000e-03 eta: 13:05:45 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 6.1931 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1194 loss: 1.1194 2022/06/30 06:54:31 - mmengine - INFO - Epoch(train) [55][1280/3757] lr: 1.000e-03 eta: 13:05:40 time: 0.282 data_time: 0.007 memory: 6404 grad_norm: 6.2927 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0530 loss: 1.0530 2022/06/30 06:54:36 - mmengine - INFO - Epoch(train) [55][1300/3757] lr: 1.000e-03 eta: 13:05:34 time: 0.243 data_time: 0.017 memory: 6404 grad_norm: 6.2611 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5370 loss: 1.5370 2022/06/30 06:54:41 - mmengine - INFO - Epoch(train) [55][1320/3757] lr: 1.000e-03 eta: 13:05:29 time: 0.420 data_time: 0.082 memory: 6404 grad_norm: 6.2745 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0728 loss: 1.0728 2022/06/30 06:54:47 - mmengine - INFO - Epoch(train) [55][1340/3757] lr: 1.000e-03 eta: 13:05:23 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 5.5978 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4392 loss: 1.4392 2022/06/30 06:54:53 - mmengine - INFO - Epoch(train) [55][1360/3757] lr: 1.000e-03 eta: 13:05:18 time: 0.357 data_time: 0.167 memory: 6404 grad_norm: 5.9693 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3313 loss: 1.3313 2022/06/30 06:54:58 - mmengine - INFO - Epoch(train) [55][1380/3757] lr: 1.000e-03 eta: 13:05:12 time: 0.248 data_time: 0.020 memory: 6404 grad_norm: 6.4319 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8948 loss: 0.8948 2022/06/30 06:55:04 - mmengine - INFO - Epoch(train) [55][1400/3757] lr: 1.000e-03 eta: 13:05:07 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 7.4831 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5890 loss: 1.5890 2022/06/30 06:55:09 - mmengine - INFO - Epoch(train) [55][1420/3757] lr: 1.000e-03 eta: 13:05:01 time: 0.265 data_time: 0.074 memory: 6404 grad_norm: 6.5656 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3312 loss: 1.3312 2022/06/30 06:55:15 - mmengine - INFO - Epoch(train) [55][1440/3757] lr: 1.000e-03 eta: 13:04:56 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 7.3079 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4988 loss: 1.4988 2022/06/30 06:55:20 - mmengine - INFO - Epoch(train) [55][1460/3757] lr: 1.000e-03 eta: 13:04:50 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 6.7474 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3096 loss: 1.3096 2022/06/30 06:55:26 - mmengine - INFO - Epoch(train) [55][1480/3757] lr: 1.000e-03 eta: 13:04:45 time: 0.251 data_time: 0.016 memory: 6404 grad_norm: 6.6696 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9720 loss: 0.9720 2022/06/30 06:55:31 - mmengine - INFO - Epoch(train) [55][1500/3757] lr: 1.000e-03 eta: 13:04:39 time: 0.337 data_time: 0.010 memory: 6404 grad_norm: 6.2735 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9747 loss: 0.9747 2022/06/30 06:55:37 - mmengine - INFO - Epoch(train) [55][1520/3757] lr: 1.000e-03 eta: 13:04:34 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.3908 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1610 loss: 1.1610 2022/06/30 06:55:42 - mmengine - INFO - Epoch(train) [55][1540/3757] lr: 1.000e-03 eta: 13:04:28 time: 0.244 data_time: 0.012 memory: 6404 grad_norm: 7.3263 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1537 loss: 1.1537 2022/06/30 06:55:47 - mmengine - INFO - Epoch(train) [55][1560/3757] lr: 1.000e-03 eta: 13:04:23 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 6.3746 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2909 loss: 1.2909 2022/06/30 06:55:53 - mmengine - INFO - Epoch(train) [55][1580/3757] lr: 1.000e-03 eta: 13:04:17 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.8960 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2474 loss: 1.2474 2022/06/30 06:55:59 - mmengine - INFO - Epoch(train) [55][1600/3757] lr: 1.000e-03 eta: 13:04:12 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 8.0232 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3668 loss: 1.3668 2022/06/30 06:56:05 - mmengine - INFO - Epoch(train) [55][1620/3757] lr: 1.000e-03 eta: 13:04:07 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.9031 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3164 loss: 1.3164 2022/06/30 06:56:10 - mmengine - INFO - Epoch(train) [55][1640/3757] lr: 1.000e-03 eta: 13:04:01 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.6229 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4107 loss: 1.4107 2022/06/30 06:56:15 - mmengine - INFO - Epoch(train) [55][1660/3757] lr: 1.000e-03 eta: 13:03:56 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 7.4031 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2093 loss: 1.2093 2022/06/30 06:56:21 - mmengine - INFO - Epoch(train) [55][1680/3757] lr: 1.000e-03 eta: 13:03:50 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.6474 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1410 loss: 1.1410 2022/06/30 06:56:26 - mmengine - INFO - Epoch(train) [55][1700/3757] lr: 1.000e-03 eta: 13:03:44 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 6.4509 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5349 loss: 1.5349 2022/06/30 06:56:31 - mmengine - INFO - Epoch(train) [55][1720/3757] lr: 1.000e-03 eta: 13:03:38 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 5.9354 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7865 loss: 1.7865 2022/06/30 06:56:36 - mmengine - INFO - Epoch(train) [55][1740/3757] lr: 1.000e-03 eta: 13:03:33 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 6.1910 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0316 loss: 1.0316 2022/06/30 06:56:42 - mmengine - INFO - Epoch(train) [55][1760/3757] lr: 1.000e-03 eta: 13:03:27 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 5.9954 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7625 loss: 1.7625 2022/06/30 06:56:48 - mmengine - INFO - Epoch(train) [55][1780/3757] lr: 1.000e-03 eta: 13:03:22 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 6.1390 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1432 loss: 1.1432 2022/06/30 06:56:53 - mmengine - INFO - Epoch(train) [55][1800/3757] lr: 1.000e-03 eta: 13:03:16 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 6.1415 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3038 loss: 1.3038 2022/06/30 06:56:59 - mmengine - INFO - Epoch(train) [55][1820/3757] lr: 1.000e-03 eta: 13:03:11 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.2027 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4079 loss: 1.4079 2022/06/30 06:57:04 - mmengine - INFO - Epoch(train) [55][1840/3757] lr: 1.000e-03 eta: 13:03:05 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 7.2249 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6088 loss: 1.6088 2022/06/30 06:57:10 - mmengine - INFO - Epoch(train) [55][1860/3757] lr: 1.000e-03 eta: 13:03:00 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 5.9164 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3625 loss: 1.3625 2022/06/30 06:57:16 - mmengine - INFO - Epoch(train) [55][1880/3757] lr: 1.000e-03 eta: 13:02:55 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 7.2424 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6967 loss: 1.6967 2022/06/30 06:57:21 - mmengine - INFO - Epoch(train) [55][1900/3757] lr: 1.000e-03 eta: 13:02:49 time: 0.264 data_time: 0.010 memory: 6404 grad_norm: 6.8628 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1391 loss: 1.1391 2022/06/30 06:57:27 - mmengine - INFO - Epoch(train) [55][1920/3757] lr: 1.000e-03 eta: 13:02:44 time: 0.264 data_time: 0.006 memory: 6404 grad_norm: 6.6452 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2968 loss: 1.2968 2022/06/30 06:57:32 - mmengine - INFO - Epoch(train) [55][1940/3757] lr: 1.000e-03 eta: 13:02:38 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.1468 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3000 loss: 1.3000 2022/06/30 06:57:37 - mmengine - INFO - Epoch(train) [55][1960/3757] lr: 1.000e-03 eta: 13:02:32 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 7.2593 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4179 loss: 1.4179 2022/06/30 06:57:43 - mmengine - INFO - Epoch(train) [55][1980/3757] lr: 1.000e-03 eta: 13:02:27 time: 0.274 data_time: 0.009 memory: 6404 grad_norm: 7.5115 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1067 loss: 1.1067 2022/06/30 06:57:48 - mmengine - INFO - Epoch(train) [55][2000/3757] lr: 1.000e-03 eta: 13:02:21 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 7.0240 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3254 loss: 1.3254 2022/06/30 06:57:54 - mmengine - INFO - Epoch(train) [55][2020/3757] lr: 1.000e-03 eta: 13:02:16 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 7.0304 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2915 loss: 1.2915 2022/06/30 06:57:59 - mmengine - INFO - Epoch(train) [55][2040/3757] lr: 1.000e-03 eta: 13:02:10 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 8.1261 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9806 loss: 0.9806 2022/06/30 06:58:05 - mmengine - INFO - Epoch(train) [55][2060/3757] lr: 1.000e-03 eta: 13:02:05 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 6.9778 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1020 loss: 1.1020 2022/06/30 06:58:10 - mmengine - INFO - Epoch(train) [55][2080/3757] lr: 1.000e-03 eta: 13:01:59 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 6.6253 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2458 loss: 1.2458 2022/06/30 06:58:15 - mmengine - INFO - Epoch(train) [55][2100/3757] lr: 1.000e-03 eta: 13:01:54 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 7.9112 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2019 loss: 1.2019 2022/06/30 06:58:21 - mmengine - INFO - Epoch(train) [55][2120/3757] lr: 1.000e-03 eta: 13:01:48 time: 0.261 data_time: 0.009 memory: 6404 grad_norm: 5.4593 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2478 loss: 1.2478 2022/06/30 06:58:21 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 06:58:26 - mmengine - INFO - Epoch(train) [55][2140/3757] lr: 1.000e-03 eta: 13:01:42 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 5.9260 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4002 loss: 1.4002 2022/06/30 06:58:32 - mmengine - INFO - Epoch(train) [55][2160/3757] lr: 1.000e-03 eta: 13:01:37 time: 0.352 data_time: 0.007 memory: 6404 grad_norm: 7.1439 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3302 loss: 1.3302 2022/06/30 06:58:37 - mmengine - INFO - Epoch(train) [55][2180/3757] lr: 1.000e-03 eta: 13:01:31 time: 0.248 data_time: 0.017 memory: 6404 grad_norm: 6.6257 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7942 loss: 1.7942 2022/06/30 06:58:43 - mmengine - INFO - Epoch(train) [55][2200/3757] lr: 1.000e-03 eta: 13:01:26 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 5.7999 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0637 loss: 1.0637 2022/06/30 06:58:48 - mmengine - INFO - Epoch(train) [55][2220/3757] lr: 1.000e-03 eta: 13:01:20 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.5180 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9224 loss: 0.9224 2022/06/30 06:58:54 - mmengine - INFO - Epoch(train) [55][2240/3757] lr: 1.000e-03 eta: 13:01:15 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 8.3482 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3689 loss: 1.3689 2022/06/30 06:58:59 - mmengine - INFO - Epoch(train) [55][2260/3757] lr: 1.000e-03 eta: 13:01:09 time: 0.389 data_time: 0.007 memory: 6404 grad_norm: 6.5883 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0552 loss: 1.0552 2022/06/30 06:59:04 - mmengine - INFO - Epoch(train) [55][2280/3757] lr: 1.000e-03 eta: 13:01:04 time: 0.298 data_time: 0.011 memory: 6404 grad_norm: 7.4154 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4891 loss: 1.4891 2022/06/30 06:59:10 - mmengine - INFO - Epoch(train) [55][2300/3757] lr: 1.000e-03 eta: 13:00:58 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 7.0420 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6237 loss: 1.6237 2022/06/30 06:59:15 - mmengine - INFO - Epoch(train) [55][2320/3757] lr: 1.000e-03 eta: 13:00:53 time: 0.271 data_time: 0.008 memory: 6404 grad_norm: 6.4686 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2152 loss: 1.2152 2022/06/30 06:59:21 - mmengine - INFO - Epoch(train) [55][2340/3757] lr: 1.000e-03 eta: 13:00:47 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 7.1594 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1644 loss: 1.1644 2022/06/30 06:59:26 - mmengine - INFO - Epoch(train) [55][2360/3757] lr: 1.000e-03 eta: 13:00:42 time: 0.251 data_time: 0.014 memory: 6404 grad_norm: 5.8084 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9829 loss: 0.9829 2022/06/30 06:59:32 - mmengine - INFO - Epoch(train) [55][2380/3757] lr: 1.000e-03 eta: 13:00:36 time: 0.311 data_time: 0.008 memory: 6404 grad_norm: 7.5341 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3052 loss: 1.3052 2022/06/30 06:59:37 - mmengine - INFO - Epoch(train) [55][2400/3757] lr: 1.000e-03 eta: 13:00:31 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.3187 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0769 loss: 1.0769 2022/06/30 06:59:43 - mmengine - INFO - Epoch(train) [55][2420/3757] lr: 1.000e-03 eta: 13:00:25 time: 0.256 data_time: 0.022 memory: 6404 grad_norm: 6.5544 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0462 loss: 1.0462 2022/06/30 06:59:48 - mmengine - INFO - Epoch(train) [55][2440/3757] lr: 1.000e-03 eta: 13:00:20 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 6.8011 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3738 loss: 1.3738 2022/06/30 06:59:54 - mmengine - INFO - Epoch(train) [55][2460/3757] lr: 1.000e-03 eta: 13:00:14 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.4482 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1181 loss: 1.1181 2022/06/30 06:59:59 - mmengine - INFO - Epoch(train) [55][2480/3757] lr: 1.000e-03 eta: 13:00:09 time: 0.246 data_time: 0.016 memory: 6404 grad_norm: 7.8354 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1699 loss: 1.1699 2022/06/30 07:00:05 - mmengine - INFO - Epoch(train) [55][2500/3757] lr: 1.000e-03 eta: 13:00:03 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 7.2088 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1771 loss: 1.1771 2022/06/30 07:00:10 - mmengine - INFO - Epoch(train) [55][2520/3757] lr: 1.000e-03 eta: 12:59:58 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.0969 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0382 loss: 1.0382 2022/06/30 07:00:16 - mmengine - INFO - Epoch(train) [55][2540/3757] lr: 1.000e-03 eta: 12:59:52 time: 0.264 data_time: 0.018 memory: 6404 grad_norm: 6.2259 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2102 loss: 1.2102 2022/06/30 07:00:22 - mmengine - INFO - Epoch(train) [55][2560/3757] lr: 1.000e-03 eta: 12:59:47 time: 0.409 data_time: 0.008 memory: 6404 grad_norm: 7.5593 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7709 loss: 1.7709 2022/06/30 07:00:27 - mmengine - INFO - Epoch(train) [55][2580/3757] lr: 1.000e-03 eta: 12:59:41 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.4341 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9232 loss: 0.9232 2022/06/30 07:00:32 - mmengine - INFO - Epoch(train) [55][2600/3757] lr: 1.000e-03 eta: 12:59:36 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 6.4206 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0218 loss: 1.0218 2022/06/30 07:00:38 - mmengine - INFO - Epoch(train) [55][2620/3757] lr: 1.000e-03 eta: 12:59:30 time: 0.243 data_time: 0.012 memory: 6404 grad_norm: 6.9314 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1059 loss: 1.1059 2022/06/30 07:00:44 - mmengine - INFO - Epoch(train) [55][2640/3757] lr: 1.000e-03 eta: 12:59:25 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.7810 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4718 loss: 1.4718 2022/06/30 07:00:49 - mmengine - INFO - Epoch(train) [55][2660/3757] lr: 1.000e-03 eta: 12:59:19 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 6.6474 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2482 loss: 1.2482 2022/06/30 07:00:55 - mmengine - INFO - Epoch(train) [55][2680/3757] lr: 1.000e-03 eta: 12:59:14 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 5.9478 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1705 loss: 1.1705 2022/06/30 07:01:00 - mmengine - INFO - Epoch(train) [55][2700/3757] lr: 1.000e-03 eta: 12:59:08 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.6584 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2535 loss: 1.2535 2022/06/30 07:01:06 - mmengine - INFO - Epoch(train) [55][2720/3757] lr: 1.000e-03 eta: 12:59:03 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 6.5237 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0427 loss: 1.0427 2022/06/30 07:01:11 - mmengine - INFO - Epoch(train) [55][2740/3757] lr: 1.000e-03 eta: 12:58:57 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 6.0670 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9724 loss: 0.9724 2022/06/30 07:01:17 - mmengine - INFO - Epoch(train) [55][2760/3757] lr: 1.000e-03 eta: 12:58:52 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 6.3381 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1447 loss: 1.1447 2022/06/30 07:01:22 - mmengine - INFO - Epoch(train) [55][2780/3757] lr: 1.000e-03 eta: 12:58:46 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 5.6426 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2583 loss: 1.2583 2022/06/30 07:01:28 - mmengine - INFO - Epoch(train) [55][2800/3757] lr: 1.000e-03 eta: 12:58:41 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 5.1868 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4312 loss: 1.4312 2022/06/30 07:01:34 - mmengine - INFO - Epoch(train) [55][2820/3757] lr: 1.000e-03 eta: 12:58:36 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.3064 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1949 loss: 1.1949 2022/06/30 07:01:39 - mmengine - INFO - Epoch(train) [55][2840/3757] lr: 1.000e-03 eta: 12:58:30 time: 0.256 data_time: 0.016 memory: 6404 grad_norm: 6.7356 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0084 loss: 1.0084 2022/06/30 07:01:44 - mmengine - INFO - Epoch(train) [55][2860/3757] lr: 1.000e-03 eta: 12:58:24 time: 0.252 data_time: 0.017 memory: 6404 grad_norm: 7.1979 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0976 loss: 1.0976 2022/06/30 07:01:50 - mmengine - INFO - Epoch(train) [55][2880/3757] lr: 1.000e-03 eta: 12:58:19 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 6.6637 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1833 loss: 1.1833 2022/06/30 07:01:55 - mmengine - INFO - Epoch(train) [55][2900/3757] lr: 1.000e-03 eta: 12:58:13 time: 0.239 data_time: 0.008 memory: 6404 grad_norm: 5.8962 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2008 loss: 1.2008 2022/06/30 07:02:00 - mmengine - INFO - Epoch(train) [55][2920/3757] lr: 1.000e-03 eta: 12:58:08 time: 0.261 data_time: 0.017 memory: 6404 grad_norm: 7.4836 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2322 loss: 1.2322 2022/06/30 07:02:06 - mmengine - INFO - Epoch(train) [55][2940/3757] lr: 1.000e-03 eta: 12:58:02 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.7485 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4714 loss: 1.4714 2022/06/30 07:02:11 - mmengine - INFO - Epoch(train) [55][2960/3757] lr: 1.000e-03 eta: 12:57:56 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 7.1606 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4292 loss: 1.4292 2022/06/30 07:02:16 - mmengine - INFO - Epoch(train) [55][2980/3757] lr: 1.000e-03 eta: 12:57:51 time: 0.238 data_time: 0.013 memory: 6404 grad_norm: 6.6094 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0530 loss: 1.0530 2022/06/30 07:02:22 - mmengine - INFO - Epoch(train) [55][3000/3757] lr: 1.000e-03 eta: 12:57:45 time: 0.320 data_time: 0.007 memory: 6404 grad_norm: 7.3153 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4890 loss: 1.4890 2022/06/30 07:02:27 - mmengine - INFO - Epoch(train) [55][3020/3757] lr: 1.000e-03 eta: 12:57:39 time: 0.361 data_time: 0.006 memory: 6404 grad_norm: 7.9804 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5233 loss: 1.5233 2022/06/30 07:02:32 - mmengine - INFO - Epoch(train) [55][3040/3757] lr: 1.000e-03 eta: 12:57:34 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 7.2408 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1929 loss: 1.1929 2022/06/30 07:02:38 - mmengine - INFO - Epoch(train) [55][3060/3757] lr: 1.000e-03 eta: 12:57:28 time: 0.273 data_time: 0.010 memory: 6404 grad_norm: 6.5069 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3825 loss: 1.3825 2022/06/30 07:02:43 - mmengine - INFO - Epoch(train) [55][3080/3757] lr: 1.000e-03 eta: 12:57:23 time: 0.335 data_time: 0.006 memory: 6404 grad_norm: 6.8065 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3409 loss: 1.3409 2022/06/30 07:02:48 - mmengine - INFO - Epoch(train) [55][3100/3757] lr: 1.000e-03 eta: 12:57:17 time: 0.246 data_time: 0.018 memory: 6404 grad_norm: 7.2777 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0667 loss: 1.0667 2022/06/30 07:02:54 - mmengine - INFO - Epoch(train) [55][3120/3757] lr: 1.000e-03 eta: 12:57:11 time: 0.247 data_time: 0.014 memory: 6404 grad_norm: 6.3850 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4712 loss: 1.4712 2022/06/30 07:02:55 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 07:03:00 - mmengine - INFO - Epoch(train) [55][3140/3757] lr: 1.000e-03 eta: 12:57:06 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 6.2308 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9952 loss: 0.9952 2022/06/30 07:03:05 - mmengine - INFO - Epoch(train) [55][3160/3757] lr: 1.000e-03 eta: 12:57:01 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 6.7674 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4879 loss: 1.4879 2022/06/30 07:03:11 - mmengine - INFO - Epoch(train) [55][3180/3757] lr: 1.000e-03 eta: 12:56:55 time: 0.245 data_time: 0.021 memory: 6404 grad_norm: 7.7516 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3551 loss: 1.3551 2022/06/30 07:03:16 - mmengine - INFO - Epoch(train) [55][3200/3757] lr: 1.000e-03 eta: 12:56:50 time: 0.303 data_time: 0.008 memory: 6404 grad_norm: 6.1707 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5497 loss: 1.5497 2022/06/30 07:03:22 - mmengine - INFO - Epoch(train) [55][3220/3757] lr: 1.000e-03 eta: 12:56:44 time: 0.300 data_time: 0.008 memory: 6404 grad_norm: 5.7567 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3341 loss: 1.3341 2022/06/30 07:03:27 - mmengine - INFO - Epoch(train) [55][3240/3757] lr: 1.000e-03 eta: 12:56:39 time: 0.252 data_time: 0.031 memory: 6404 grad_norm: 7.1646 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0516 loss: 1.0516 2022/06/30 07:03:33 - mmengine - INFO - Epoch(train) [55][3260/3757] lr: 1.000e-03 eta: 12:56:33 time: 0.266 data_time: 0.012 memory: 6404 grad_norm: 6.9317 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0739 loss: 1.0739 2022/06/30 07:03:38 - mmengine - INFO - Epoch(train) [55][3280/3757] lr: 1.000e-03 eta: 12:56:28 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 7.4834 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9135 loss: 0.9135 2022/06/30 07:03:44 - mmengine - INFO - Epoch(train) [55][3300/3757] lr: 1.000e-03 eta: 12:56:22 time: 0.252 data_time: 0.026 memory: 6404 grad_norm: 6.2693 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9309 loss: 0.9309 2022/06/30 07:03:49 - mmengine - INFO - Epoch(train) [55][3320/3757] lr: 1.000e-03 eta: 12:56:16 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 7.6062 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7206 loss: 1.7206 2022/06/30 07:03:54 - mmengine - INFO - Epoch(train) [55][3340/3757] lr: 1.000e-03 eta: 12:56:11 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 6.0115 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2259 loss: 1.2259 2022/06/30 07:04:01 - mmengine - INFO - Epoch(train) [55][3360/3757] lr: 1.000e-03 eta: 12:56:06 time: 0.249 data_time: 0.022 memory: 6404 grad_norm: 7.7768 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9869 loss: 0.9869 2022/06/30 07:04:06 - mmengine - INFO - Epoch(train) [55][3380/3757] lr: 1.000e-03 eta: 12:56:00 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 5.8287 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2625 loss: 1.2625 2022/06/30 07:04:11 - mmengine - INFO - Epoch(train) [55][3400/3757] lr: 1.000e-03 eta: 12:55:54 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 6.5923 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0708 loss: 1.0708 2022/06/30 07:04:16 - mmengine - INFO - Epoch(train) [55][3420/3757] lr: 1.000e-03 eta: 12:55:49 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 7.9868 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3079 loss: 1.3079 2022/06/30 07:04:22 - mmengine - INFO - Epoch(train) [55][3440/3757] lr: 1.000e-03 eta: 12:55:43 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 6.7755 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5249 loss: 1.5249 2022/06/30 07:04:27 - mmengine - INFO - Epoch(train) [55][3460/3757] lr: 1.000e-03 eta: 12:55:37 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 7.1046 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1335 loss: 1.1335 2022/06/30 07:04:33 - mmengine - INFO - Epoch(train) [55][3480/3757] lr: 1.000e-03 eta: 12:55:32 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 5.4692 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2419 loss: 1.2419 2022/06/30 07:04:38 - mmengine - INFO - Epoch(train) [55][3500/3757] lr: 1.000e-03 eta: 12:55:26 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 8.0680 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.4583 loss: 1.4583 2022/06/30 07:04:43 - mmengine - INFO - Epoch(train) [55][3520/3757] lr: 1.000e-03 eta: 12:55:21 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 9.5541 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2019 loss: 1.2019 2022/06/30 07:04:49 - mmengine - INFO - Epoch(train) [55][3540/3757] lr: 1.000e-03 eta: 12:55:15 time: 0.266 data_time: 0.008 memory: 6404 grad_norm: 7.3198 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4454 loss: 1.4454 2022/06/30 07:04:54 - mmengine - INFO - Epoch(train) [55][3560/3757] lr: 1.000e-03 eta: 12:55:09 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 6.6004 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2241 loss: 1.2241 2022/06/30 07:04:59 - mmengine - INFO - Epoch(train) [55][3580/3757] lr: 1.000e-03 eta: 12:55:04 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 7.0065 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5545 loss: 1.5545 2022/06/30 07:05:05 - mmengine - INFO - Epoch(train) [55][3600/3757] lr: 1.000e-03 eta: 12:54:58 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.6955 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9213 loss: 1.9213 2022/06/30 07:05:10 - mmengine - INFO - Epoch(train) [55][3620/3757] lr: 1.000e-03 eta: 12:54:53 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 6.5825 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2426 loss: 1.2426 2022/06/30 07:05:16 - mmengine - INFO - Epoch(train) [55][3640/3757] lr: 1.000e-03 eta: 12:54:48 time: 0.265 data_time: 0.011 memory: 6404 grad_norm: 6.9452 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0010 loss: 1.0010 2022/06/30 07:05:22 - mmengine - INFO - Epoch(train) [55][3660/3757] lr: 1.000e-03 eta: 12:54:42 time: 0.462 data_time: 0.011 memory: 6404 grad_norm: 6.8421 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4187 loss: 1.4187 2022/06/30 07:05:27 - mmengine - INFO - Epoch(train) [55][3680/3757] lr: 1.000e-03 eta: 12:54:37 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 5.8326 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3160 loss: 1.3160 2022/06/30 07:05:33 - mmengine - INFO - Epoch(train) [55][3700/3757] lr: 1.000e-03 eta: 12:54:31 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 8.0070 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4260 loss: 1.4260 2022/06/30 07:05:38 - mmengine - INFO - Epoch(train) [55][3720/3757] lr: 1.000e-03 eta: 12:54:26 time: 0.381 data_time: 0.010 memory: 6404 grad_norm: 6.6160 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1357 loss: 1.1357 2022/06/30 07:05:44 - mmengine - INFO - Epoch(train) [55][3740/3757] lr: 1.000e-03 eta: 12:54:20 time: 0.242 data_time: 0.006 memory: 6404 grad_norm: 7.0634 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9886 loss: 0.9886 2022/06/30 07:05:48 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 07:05:48 - mmengine - INFO - Saving checkpoint at 55 epochs 2022/06/30 07:05:59 - mmengine - INFO - Epoch(val) [55][20/310] eta: 0:01:27 time: 0.079 data_time: 0.005 memory: 6404 2022/06/30 07:06:05 - mmengine - INFO - Epoch(val) [55][40/310] eta: 0:01:03 time: 0.084 data_time: 0.009 memory: 1479 2022/06/30 07:06:09 - mmengine - INFO - Epoch(val) [55][60/310] eta: 0:00:27 time: 0.113 data_time: 0.038 memory: 1479 2022/06/30 07:06:15 - mmengine - INFO - Epoch(val) [55][80/310] eta: 0:01:09 time: 0.087 data_time: 0.007 memory: 1479 2022/06/30 07:06:20 - mmengine - INFO - Epoch(val) [55][100/310] eta: 0:00:59 time: 0.741 data_time: 0.662 memory: 1479 2022/06/30 07:06:25 - mmengine - INFO - Epoch(val) [55][120/310] eta: 0:00:30 time: 0.085 data_time: 0.006 memory: 1479 2022/06/30 07:06:31 - mmengine - INFO - Epoch(val) [55][140/310] eta: 0:00:58 time: 0.084 data_time: 0.005 memory: 1479 2022/06/30 07:06:37 - mmengine - INFO - Epoch(val) [55][160/310] eta: 0:00:51 time: 1.987 data_time: 1.897 memory: 1479 2022/06/30 07:06:41 - mmengine - INFO - Epoch(val) [55][180/310] eta: 0:00:30 time: 0.081 data_time: 0.006 memory: 1479 2022/06/30 07:06:47 - mmengine - INFO - Epoch(val) [55][200/310] eta: 0:00:31 time: 0.081 data_time: 0.005 memory: 1479 2022/06/30 07:06:53 - mmengine - INFO - Epoch(val) [55][220/310] eta: 0:00:26 time: 1.239 data_time: 1.152 memory: 1479 2022/06/30 07:06:56 - mmengine - INFO - Epoch(val) [55][240/310] eta: 0:00:16 time: 0.081 data_time: 0.006 memory: 1479 2022/06/30 07:07:03 - mmengine - INFO - Epoch(val) [55][260/310] eta: 0:00:16 time: 0.085 data_time: 0.005 memory: 1479 2022/06/30 07:07:08 - mmengine - INFO - Epoch(val) [55][280/310] eta: 0:00:07 time: 0.782 data_time: 0.706 memory: 1479 2022/06/30 07:07:10 - mmengine - INFO - Epoch(val) [55][300/310] eta: 0:00:01 time: 0.078 data_time: 0.006 memory: 1479 2022/06/30 07:07:12 - mmengine - INFO - Epoch(val) [55][310/310] acc/top1: 0.6604 acc/top5: 0.8651 acc/mean1: 0.6603 2022/06/30 07:07:21 - mmengine - INFO - Epoch(train) [56][20/3757] lr: 1.000e-03 eta: 12:54:11 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.4035 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1063 loss: 1.1063 2022/06/30 07:07:27 - mmengine - INFO - Epoch(train) [56][40/3757] lr: 1.000e-03 eta: 12:54:06 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 7.8560 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9599 loss: 0.9599 2022/06/30 07:07:33 - mmengine - INFO - Epoch(train) [56][60/3757] lr: 1.000e-03 eta: 12:54:01 time: 0.273 data_time: 0.011 memory: 6404 grad_norm: 7.7933 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3826 loss: 1.3826 2022/06/30 07:07:38 - mmengine - INFO - Epoch(train) [56][80/3757] lr: 1.000e-03 eta: 12:53:55 time: 0.254 data_time: 0.025 memory: 6404 grad_norm: 6.3343 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2244 loss: 1.2244 2022/06/30 07:07:44 - mmengine - INFO - Epoch(train) [56][100/3757] lr: 1.000e-03 eta: 12:53:49 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.5850 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6129 loss: 1.6129 2022/06/30 07:07:49 - mmengine - INFO - Epoch(train) [56][120/3757] lr: 1.000e-03 eta: 12:53:44 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 8.0539 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2566 loss: 1.2566 2022/06/30 07:07:55 - mmengine - INFO - Epoch(train) [56][140/3757] lr: 1.000e-03 eta: 12:53:38 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 7.4807 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3047 loss: 1.3047 2022/06/30 07:08:00 - mmengine - INFO - Epoch(train) [56][160/3757] lr: 1.000e-03 eta: 12:53:33 time: 0.251 data_time: 0.018 memory: 6404 grad_norm: 6.0208 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1736 loss: 1.1736 2022/06/30 07:08:05 - mmengine - INFO - Epoch(train) [56][180/3757] lr: 1.000e-03 eta: 12:53:27 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.0863 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9077 loss: 0.9077 2022/06/30 07:08:11 - mmengine - INFO - Epoch(train) [56][200/3757] lr: 1.000e-03 eta: 12:53:22 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.9652 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0997 loss: 1.0997 2022/06/30 07:08:16 - mmengine - INFO - Epoch(train) [56][220/3757] lr: 1.000e-03 eta: 12:53:16 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 4.4570 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1461 loss: 1.1461 2022/06/30 07:08:21 - mmengine - INFO - Epoch(train) [56][240/3757] lr: 1.000e-03 eta: 12:53:10 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 6.3673 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4242 loss: 1.4242 2022/06/30 07:08:27 - mmengine - INFO - Epoch(train) [56][260/3757] lr: 1.000e-03 eta: 12:53:05 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 7.4703 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3843 loss: 1.3843 2022/06/30 07:08:32 - mmengine - INFO - Epoch(train) [56][280/3757] lr: 1.000e-03 eta: 12:52:59 time: 0.262 data_time: 0.071 memory: 6404 grad_norm: 7.0653 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3347 loss: 1.3347 2022/06/30 07:08:37 - mmengine - INFO - Epoch(train) [56][300/3757] lr: 1.000e-03 eta: 12:52:53 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.7941 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1571 loss: 1.1571 2022/06/30 07:08:43 - mmengine - INFO - Epoch(train) [56][320/3757] lr: 1.000e-03 eta: 12:52:48 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 4.9140 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3102 loss: 1.3102 2022/06/30 07:08:49 - mmengine - INFO - Epoch(train) [56][340/3757] lr: 1.000e-03 eta: 12:52:43 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 8.7330 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1446 loss: 1.1446 2022/06/30 07:08:54 - mmengine - INFO - Epoch(train) [56][360/3757] lr: 1.000e-03 eta: 12:52:37 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 7.9125 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3695 loss: 1.3695 2022/06/30 07:08:55 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 07:09:00 - mmengine - INFO - Epoch(train) [56][380/3757] lr: 1.000e-03 eta: 12:52:31 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.3904 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2046 loss: 1.2046 2022/06/30 07:09:05 - mmengine - INFO - Epoch(train) [56][400/3757] lr: 1.000e-03 eta: 12:52:26 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 5.6785 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1643 loss: 1.1643 2022/06/30 07:09:10 - mmengine - INFO - Epoch(train) [56][420/3757] lr: 1.000e-03 eta: 12:52:20 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 6.7897 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2426 loss: 1.2426 2022/06/30 07:09:16 - mmengine - INFO - Epoch(train) [56][440/3757] lr: 1.000e-03 eta: 12:52:15 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.2553 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2162 loss: 1.2162 2022/06/30 07:09:22 - mmengine - INFO - Epoch(train) [56][460/3757] lr: 1.000e-03 eta: 12:52:09 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.7147 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2009 loss: 1.2009 2022/06/30 07:09:27 - mmengine - INFO - Epoch(train) [56][480/3757] lr: 1.000e-03 eta: 12:52:04 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 7.4522 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3048 loss: 1.3048 2022/06/30 07:09:32 - mmengine - INFO - Epoch(train) [56][500/3757] lr: 1.000e-03 eta: 12:51:58 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.9880 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3787 loss: 1.3787 2022/06/30 07:09:38 - mmengine - INFO - Epoch(train) [56][520/3757] lr: 1.000e-03 eta: 12:51:52 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 7.9592 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0825 loss: 1.0825 2022/06/30 07:09:43 - mmengine - INFO - Epoch(train) [56][540/3757] lr: 1.000e-03 eta: 12:51:47 time: 0.269 data_time: 0.008 memory: 6404 grad_norm: 7.4001 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1612 loss: 1.1612 2022/06/30 07:09:48 - mmengine - INFO - Epoch(train) [56][560/3757] lr: 1.000e-03 eta: 12:51:41 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 6.7175 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1726 loss: 1.1726 2022/06/30 07:09:54 - mmengine - INFO - Epoch(train) [56][580/3757] lr: 1.000e-03 eta: 12:51:36 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 6.9102 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2181 loss: 1.2181 2022/06/30 07:09:59 - mmengine - INFO - Epoch(train) [56][600/3757] lr: 1.000e-03 eta: 12:51:30 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 6.5888 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2094 loss: 1.2094 2022/06/30 07:10:05 - mmengine - INFO - Epoch(train) [56][620/3757] lr: 1.000e-03 eta: 12:51:25 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.8378 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3761 loss: 1.3761 2022/06/30 07:10:10 - mmengine - INFO - Epoch(train) [56][640/3757] lr: 1.000e-03 eta: 12:51:19 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 7.6857 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5557 loss: 1.5557 2022/06/30 07:10:16 - mmengine - INFO - Epoch(train) [56][660/3757] lr: 1.000e-03 eta: 12:51:14 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 9.2509 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0239 loss: 1.0239 2022/06/30 07:10:22 - mmengine - INFO - Epoch(train) [56][680/3757] lr: 1.000e-03 eta: 12:51:09 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 7.8314 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4663 loss: 1.4663 2022/06/30 07:10:27 - mmengine - INFO - Epoch(train) [56][700/3757] lr: 1.000e-03 eta: 12:51:03 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.6975 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5493 loss: 1.5493 2022/06/30 07:10:32 - mmengine - INFO - Epoch(train) [56][720/3757] lr: 1.000e-03 eta: 12:50:57 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 6.5042 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4038 loss: 1.4038 2022/06/30 07:10:37 - mmengine - INFO - Epoch(train) [56][740/3757] lr: 1.000e-03 eta: 12:50:51 time: 0.242 data_time: 0.011 memory: 6404 grad_norm: 5.9751 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2867 loss: 1.2867 2022/06/30 07:10:43 - mmengine - INFO - Epoch(train) [56][760/3757] lr: 1.000e-03 eta: 12:50:46 time: 0.351 data_time: 0.010 memory: 6404 grad_norm: 7.8059 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1620 loss: 1.1620 2022/06/30 07:10:48 - mmengine - INFO - Epoch(train) [56][780/3757] lr: 1.000e-03 eta: 12:50:40 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 6.5960 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2961 loss: 1.2961 2022/06/30 07:10:53 - mmengine - INFO - Epoch(train) [56][800/3757] lr: 1.000e-03 eta: 12:50:34 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.0905 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1766 loss: 1.1766 2022/06/30 07:10:58 - mmengine - INFO - Epoch(train) [56][820/3757] lr: 1.000e-03 eta: 12:50:29 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 5.9307 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3303 loss: 1.3303 2022/06/30 07:11:04 - mmengine - INFO - Epoch(train) [56][840/3757] lr: 1.000e-03 eta: 12:50:23 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.6150 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0591 loss: 1.0591 2022/06/30 07:11:09 - mmengine - INFO - Epoch(train) [56][860/3757] lr: 1.000e-03 eta: 12:50:17 time: 0.320 data_time: 0.007 memory: 6404 grad_norm: 6.8244 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8984 loss: 0.8984 2022/06/30 07:11:15 - mmengine - INFO - Epoch(train) [56][880/3757] lr: 1.000e-03 eta: 12:50:12 time: 0.251 data_time: 0.023 memory: 6404 grad_norm: 7.1075 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2004 loss: 1.2004 2022/06/30 07:11:20 - mmengine - INFO - Epoch(train) [56][900/3757] lr: 1.000e-03 eta: 12:50:06 time: 0.388 data_time: 0.016 memory: 6404 grad_norm: 6.4200 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3786 loss: 1.3786 2022/06/30 07:11:26 - mmengine - INFO - Epoch(train) [56][920/3757] lr: 1.000e-03 eta: 12:50:01 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 7.6960 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3682 loss: 1.3682 2022/06/30 07:11:31 - mmengine - INFO - Epoch(train) [56][940/3757] lr: 1.000e-03 eta: 12:49:55 time: 0.237 data_time: 0.023 memory: 6404 grad_norm: 7.3267 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1844 loss: 1.1844 2022/06/30 07:11:37 - mmengine - INFO - Epoch(train) [56][960/3757] lr: 1.000e-03 eta: 12:49:50 time: 0.258 data_time: 0.025 memory: 6404 grad_norm: 6.9660 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0460 loss: 1.0460 2022/06/30 07:11:42 - mmengine - INFO - Epoch(train) [56][980/3757] lr: 1.000e-03 eta: 12:49:45 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 8.1018 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4132 loss: 1.4132 2022/06/30 07:11:48 - mmengine - INFO - Epoch(train) [56][1000/3757] lr: 1.000e-03 eta: 12:49:39 time: 0.250 data_time: 0.018 memory: 6404 grad_norm: 7.8330 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2920 loss: 1.2920 2022/06/30 07:11:53 - mmengine - INFO - Epoch(train) [56][1020/3757] lr: 1.000e-03 eta: 12:49:33 time: 0.263 data_time: 0.041 memory: 6404 grad_norm: 6.8406 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4031 loss: 1.4031 2022/06/30 07:11:59 - mmengine - INFO - Epoch(train) [56][1040/3757] lr: 1.000e-03 eta: 12:49:28 time: 0.268 data_time: 0.011 memory: 6404 grad_norm: 6.9107 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0716 loss: 1.0716 2022/06/30 07:12:04 - mmengine - INFO - Epoch(train) [56][1060/3757] lr: 1.000e-03 eta: 12:49:22 time: 0.282 data_time: 0.011 memory: 6404 grad_norm: 7.3986 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5072 loss: 1.5072 2022/06/30 07:12:10 - mmengine - INFO - Epoch(train) [56][1080/3757] lr: 1.000e-03 eta: 12:49:17 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 7.2273 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4047 loss: 1.4047 2022/06/30 07:12:15 - mmengine - INFO - Epoch(train) [56][1100/3757] lr: 1.000e-03 eta: 12:49:11 time: 0.267 data_time: 0.014 memory: 6404 grad_norm: 6.4848 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1657 loss: 1.1657 2022/06/30 07:12:20 - mmengine - INFO - Epoch(train) [56][1120/3757] lr: 1.000e-03 eta: 12:49:06 time: 0.229 data_time: 0.019 memory: 6404 grad_norm: 7.0233 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3089 loss: 1.3089 2022/06/30 07:12:26 - mmengine - INFO - Epoch(train) [56][1140/3757] lr: 1.000e-03 eta: 12:49:00 time: 0.248 data_time: 0.013 memory: 6404 grad_norm: 7.7886 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2271 loss: 1.2271 2022/06/30 07:12:31 - mmengine - INFO - Epoch(train) [56][1160/3757] lr: 1.000e-03 eta: 12:48:55 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 6.3486 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4010 loss: 1.4010 2022/06/30 07:12:37 - mmengine - INFO - Epoch(train) [56][1180/3757] lr: 1.000e-03 eta: 12:48:49 time: 0.261 data_time: 0.011 memory: 6404 grad_norm: 6.8778 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5492 loss: 1.5492 2022/06/30 07:12:42 - mmengine - INFO - Epoch(train) [56][1200/3757] lr: 1.000e-03 eta: 12:48:43 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 6.5096 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5826 loss: 1.5826 2022/06/30 07:12:48 - mmengine - INFO - Epoch(train) [56][1220/3757] lr: 1.000e-03 eta: 12:48:38 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.7647 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2152 loss: 1.2152 2022/06/30 07:12:53 - mmengine - INFO - Epoch(train) [56][1240/3757] lr: 1.000e-03 eta: 12:48:32 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 7.5910 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3033 loss: 1.3033 2022/06/30 07:12:58 - mmengine - INFO - Epoch(train) [56][1260/3757] lr: 1.000e-03 eta: 12:48:27 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 6.8333 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4459 loss: 1.4459 2022/06/30 07:13:04 - mmengine - INFO - Epoch(train) [56][1280/3757] lr: 1.000e-03 eta: 12:48:21 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 5.6524 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1743 loss: 1.1743 2022/06/30 07:13:09 - mmengine - INFO - Epoch(train) [56][1300/3757] lr: 1.000e-03 eta: 12:48:16 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 7.6462 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3287 loss: 1.3287 2022/06/30 07:13:15 - mmengine - INFO - Epoch(train) [56][1320/3757] lr: 1.000e-03 eta: 12:48:10 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 6.8279 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6216 loss: 1.6216 2022/06/30 07:13:20 - mmengine - INFO - Epoch(train) [56][1340/3757] lr: 1.000e-03 eta: 12:48:05 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 7.2004 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7812 loss: 1.7812 2022/06/30 07:13:26 - mmengine - INFO - Epoch(train) [56][1360/3757] lr: 1.000e-03 eta: 12:48:00 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 7.3329 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3423 loss: 1.3423 2022/06/30 07:13:28 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 07:13:32 - mmengine - INFO - Epoch(train) [56][1380/3757] lr: 1.000e-03 eta: 12:47:54 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 7.7658 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5184 loss: 1.5184 2022/06/30 07:13:37 - mmengine - INFO - Epoch(train) [56][1400/3757] lr: 1.000e-03 eta: 12:47:48 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 6.0654 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9883 loss: 0.9883 2022/06/30 07:13:42 - mmengine - INFO - Epoch(train) [56][1420/3757] lr: 1.000e-03 eta: 12:47:43 time: 0.258 data_time: 0.013 memory: 6404 grad_norm: 7.4069 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4737 loss: 1.4737 2022/06/30 07:13:48 - mmengine - INFO - Epoch(train) [56][1440/3757] lr: 1.000e-03 eta: 12:47:37 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 7.2469 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9846 loss: 0.9846 2022/06/30 07:13:54 - mmengine - INFO - Epoch(train) [56][1460/3757] lr: 1.000e-03 eta: 12:47:32 time: 0.257 data_time: 0.016 memory: 6404 grad_norm: 6.6476 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7016 loss: 1.7016 2022/06/30 07:13:59 - mmengine - INFO - Epoch(train) [56][1480/3757] lr: 1.000e-03 eta: 12:47:26 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 8.2691 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0998 loss: 1.0998 2022/06/30 07:14:05 - mmengine - INFO - Epoch(train) [56][1500/3757] lr: 1.000e-03 eta: 12:47:21 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 6.8328 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1152 loss: 1.1152 2022/06/30 07:14:10 - mmengine - INFO - Epoch(train) [56][1520/3757] lr: 1.000e-03 eta: 12:47:15 time: 0.251 data_time: 0.016 memory: 6404 grad_norm: 7.0351 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3122 loss: 1.3122 2022/06/30 07:14:15 - mmengine - INFO - Epoch(train) [56][1540/3757] lr: 1.000e-03 eta: 12:47:10 time: 0.266 data_time: 0.012 memory: 6404 grad_norm: 7.5669 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.1816 loss: 1.1816 2022/06/30 07:14:21 - mmengine - INFO - Epoch(train) [56][1560/3757] lr: 1.000e-03 eta: 12:47:04 time: 0.263 data_time: 0.020 memory: 6404 grad_norm: 6.6323 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4072 loss: 1.4072 2022/06/30 07:14:26 - mmengine - INFO - Epoch(train) [56][1580/3757] lr: 1.000e-03 eta: 12:46:58 time: 0.252 data_time: 0.019 memory: 6404 grad_norm: 8.1463 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0907 loss: 1.0907 2022/06/30 07:14:32 - mmengine - INFO - Epoch(train) [56][1600/3757] lr: 1.000e-03 eta: 12:46:53 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 8.3741 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3292 loss: 1.3292 2022/06/30 07:14:37 - mmengine - INFO - Epoch(train) [56][1620/3757] lr: 1.000e-03 eta: 12:46:47 time: 0.251 data_time: 0.018 memory: 6404 grad_norm: 7.0195 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6653 loss: 1.6653 2022/06/30 07:14:43 - mmengine - INFO - Epoch(train) [56][1640/3757] lr: 1.000e-03 eta: 12:46:42 time: 0.271 data_time: 0.007 memory: 6404 grad_norm: 6.9292 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4002 loss: 1.4002 2022/06/30 07:14:48 - mmengine - INFO - Epoch(train) [56][1660/3757] lr: 1.000e-03 eta: 12:46:37 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 6.2429 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9864 loss: 0.9864 2022/06/30 07:14:54 - mmengine - INFO - Epoch(train) [56][1680/3757] lr: 1.000e-03 eta: 12:46:31 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 7.8906 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3530 loss: 1.3530 2022/06/30 07:14:59 - mmengine - INFO - Epoch(train) [56][1700/3757] lr: 1.000e-03 eta: 12:46:25 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.2349 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1928 loss: 1.1928 2022/06/30 07:15:05 - mmengine - INFO - Epoch(train) [56][1720/3757] lr: 1.000e-03 eta: 12:46:20 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 7.3575 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2489 loss: 1.2489 2022/06/30 07:15:10 - mmengine - INFO - Epoch(train) [56][1740/3757] lr: 1.000e-03 eta: 12:46:14 time: 0.261 data_time: 0.016 memory: 6404 grad_norm: 6.5111 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3430 loss: 1.3430 2022/06/30 07:15:15 - mmengine - INFO - Epoch(train) [56][1760/3757] lr: 1.000e-03 eta: 12:46:09 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 7.0401 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5995 loss: 1.5995 2022/06/30 07:15:21 - mmengine - INFO - Epoch(train) [56][1780/3757] lr: 1.000e-03 eta: 12:46:03 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 7.8615 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3132 loss: 1.3132 2022/06/30 07:15:26 - mmengine - INFO - Epoch(train) [56][1800/3757] lr: 1.000e-03 eta: 12:45:58 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.0414 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1670 loss: 1.1670 2022/06/30 07:15:32 - mmengine - INFO - Epoch(train) [56][1820/3757] lr: 1.000e-03 eta: 12:45:52 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 7.5003 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3912 loss: 1.3912 2022/06/30 07:15:38 - mmengine - INFO - Epoch(train) [56][1840/3757] lr: 1.000e-03 eta: 12:45:47 time: 0.245 data_time: 0.020 memory: 6404 grad_norm: 7.3907 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8000 loss: 1.8000 2022/06/30 07:15:44 - mmengine - INFO - Epoch(train) [56][1860/3757] lr: 1.000e-03 eta: 12:45:42 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 6.6006 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1209 loss: 1.1209 2022/06/30 07:15:49 - mmengine - INFO - Epoch(train) [56][1880/3757] lr: 1.000e-03 eta: 12:45:36 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 6.6971 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3762 loss: 1.3762 2022/06/30 07:15:55 - mmengine - INFO - Epoch(train) [56][1900/3757] lr: 1.000e-03 eta: 12:45:31 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 7.2605 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2764 loss: 1.2764 2022/06/30 07:16:00 - mmengine - INFO - Epoch(train) [56][1920/3757] lr: 1.000e-03 eta: 12:45:25 time: 0.250 data_time: 0.015 memory: 6404 grad_norm: 7.3234 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3159 loss: 1.3159 2022/06/30 07:16:06 - mmengine - INFO - Epoch(train) [56][1940/3757] lr: 1.000e-03 eta: 12:45:20 time: 0.309 data_time: 0.013 memory: 6404 grad_norm: 7.0611 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2345 loss: 1.2345 2022/06/30 07:16:12 - mmengine - INFO - Epoch(train) [56][1960/3757] lr: 1.000e-03 eta: 12:45:15 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.9075 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6473 loss: 1.6473 2022/06/30 07:16:17 - mmengine - INFO - Epoch(train) [56][1980/3757] lr: 1.000e-03 eta: 12:45:09 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 7.9124 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1829 loss: 1.1829 2022/06/30 07:16:23 - mmengine - INFO - Epoch(train) [56][2000/3757] lr: 1.000e-03 eta: 12:45:04 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 6.9098 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4039 loss: 1.4039 2022/06/30 07:16:28 - mmengine - INFO - Epoch(train) [56][2020/3757] lr: 1.000e-03 eta: 12:44:58 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 7.5953 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3018 loss: 1.3018 2022/06/30 07:16:33 - mmengine - INFO - Epoch(train) [56][2040/3757] lr: 1.000e-03 eta: 12:44:52 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 8.3238 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3827 loss: 1.3827 2022/06/30 07:16:38 - mmengine - INFO - Epoch(train) [56][2060/3757] lr: 1.000e-03 eta: 12:44:46 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 7.4333 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3354 loss: 1.3354 2022/06/30 07:16:43 - mmengine - INFO - Epoch(train) [56][2080/3757] lr: 1.000e-03 eta: 12:44:41 time: 0.248 data_time: 0.024 memory: 6404 grad_norm: 8.6621 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2794 loss: 1.2794 2022/06/30 07:16:48 - mmengine - INFO - Epoch(train) [56][2100/3757] lr: 1.000e-03 eta: 12:44:35 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 6.4218 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1108 loss: 1.1108 2022/06/30 07:16:54 - mmengine - INFO - Epoch(train) [56][2120/3757] lr: 1.000e-03 eta: 12:44:30 time: 0.259 data_time: 0.017 memory: 6404 grad_norm: 7.2863 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0252 loss: 1.0252 2022/06/30 07:17:00 - mmengine - INFO - Epoch(train) [56][2140/3757] lr: 1.000e-03 eta: 12:44:24 time: 0.256 data_time: 0.013 memory: 6404 grad_norm: 8.4986 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0635 loss: 1.0635 2022/06/30 07:17:06 - mmengine - INFO - Epoch(train) [56][2160/3757] lr: 1.000e-03 eta: 12:44:19 time: 0.259 data_time: 0.013 memory: 6404 grad_norm: 6.7779 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6204 loss: 1.6204 2022/06/30 07:17:11 - mmengine - INFO - Epoch(train) [56][2180/3757] lr: 1.000e-03 eta: 12:44:14 time: 0.271 data_time: 0.007 memory: 6404 grad_norm: 6.2508 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1663 loss: 1.1663 2022/06/30 07:17:17 - mmengine - INFO - Epoch(train) [56][2200/3757] lr: 1.000e-03 eta: 12:44:08 time: 0.253 data_time: 0.021 memory: 6404 grad_norm: 7.1424 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5902 loss: 1.5902 2022/06/30 07:17:23 - mmengine - INFO - Epoch(train) [56][2220/3757] lr: 1.000e-03 eta: 12:44:03 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 7.1206 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5409 loss: 1.5409 2022/06/30 07:17:29 - mmengine - INFO - Epoch(train) [56][2240/3757] lr: 1.000e-03 eta: 12:43:57 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 7.1911 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1557 loss: 1.1557 2022/06/30 07:17:34 - mmengine - INFO - Epoch(train) [56][2260/3757] lr: 1.000e-03 eta: 12:43:52 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 6.6521 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3136 loss: 1.3136 2022/06/30 07:17:39 - mmengine - INFO - Epoch(train) [56][2280/3757] lr: 1.000e-03 eta: 12:43:46 time: 0.263 data_time: 0.013 memory: 6404 grad_norm: 5.4846 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3785 loss: 1.3785 2022/06/30 07:17:45 - mmengine - INFO - Epoch(train) [56][2300/3757] lr: 1.000e-03 eta: 12:43:41 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 6.5673 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3153 loss: 1.3153 2022/06/30 07:17:50 - mmengine - INFO - Epoch(train) [56][2320/3757] lr: 1.000e-03 eta: 12:43:35 time: 0.253 data_time: 0.016 memory: 6404 grad_norm: 8.4010 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6161 loss: 1.6161 2022/06/30 07:17:55 - mmengine - INFO - Epoch(train) [56][2340/3757] lr: 1.000e-03 eta: 12:43:29 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 6.2209 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0727 loss: 1.0727 2022/06/30 07:18:01 - mmengine - INFO - Epoch(train) [56][2360/3757] lr: 1.000e-03 eta: 12:43:24 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 7.3607 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4133 loss: 1.4133 2022/06/30 07:18:02 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 07:18:06 - mmengine - INFO - Epoch(train) [56][2380/3757] lr: 1.000e-03 eta: 12:43:18 time: 0.253 data_time: 0.016 memory: 6404 grad_norm: 7.3908 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1501 loss: 1.1501 2022/06/30 07:18:11 - mmengine - INFO - Epoch(train) [56][2400/3757] lr: 1.000e-03 eta: 12:43:12 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.8910 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4308 loss: 1.4308 2022/06/30 07:18:17 - mmengine - INFO - Epoch(train) [56][2420/3757] lr: 1.000e-03 eta: 12:43:07 time: 0.258 data_time: 0.022 memory: 6404 grad_norm: 6.8271 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3934 loss: 1.3934 2022/06/30 07:18:22 - mmengine - INFO - Epoch(train) [56][2440/3757] lr: 1.000e-03 eta: 12:43:01 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 6.8170 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2142 loss: 1.2142 2022/06/30 07:18:28 - mmengine - INFO - Epoch(train) [56][2460/3757] lr: 1.000e-03 eta: 12:42:56 time: 0.274 data_time: 0.008 memory: 6404 grad_norm: 6.9111 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1603 loss: 1.1603 2022/06/30 07:18:33 - mmengine - INFO - Epoch(train) [56][2480/3757] lr: 1.000e-03 eta: 12:42:51 time: 0.377 data_time: 0.010 memory: 6404 grad_norm: 6.6689 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1977 loss: 1.1977 2022/06/30 07:18:39 - mmengine - INFO - Epoch(train) [56][2500/3757] lr: 1.000e-03 eta: 12:42:45 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.9388 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4900 loss: 1.4900 2022/06/30 07:18:44 - mmengine - INFO - Epoch(train) [56][2520/3757] lr: 1.000e-03 eta: 12:42:40 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 6.7041 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5587 loss: 1.5587 2022/06/30 07:18:50 - mmengine - INFO - Epoch(train) [56][2540/3757] lr: 1.000e-03 eta: 12:42:34 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 7.7326 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1592 loss: 1.1592 2022/06/30 07:18:56 - mmengine - INFO - Epoch(train) [56][2560/3757] lr: 1.000e-03 eta: 12:42:29 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.3798 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3688 loss: 1.3688 2022/06/30 07:19:01 - mmengine - INFO - Epoch(train) [56][2580/3757] lr: 1.000e-03 eta: 12:42:23 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 6.6863 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3380 loss: 1.3380 2022/06/30 07:19:07 - mmengine - INFO - Epoch(train) [56][2600/3757] lr: 1.000e-03 eta: 12:42:18 time: 0.292 data_time: 0.011 memory: 6404 grad_norm: 6.6976 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5217 loss: 1.5217 2022/06/30 07:19:12 - mmengine - INFO - Epoch(train) [56][2620/3757] lr: 1.000e-03 eta: 12:42:12 time: 0.252 data_time: 0.043 memory: 6404 grad_norm: 8.1461 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0685 loss: 1.0685 2022/06/30 07:19:17 - mmengine - INFO - Epoch(train) [56][2640/3757] lr: 1.000e-03 eta: 12:42:07 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 8.1948 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2389 loss: 1.2389 2022/06/30 07:19:23 - mmengine - INFO - Epoch(train) [56][2660/3757] lr: 1.000e-03 eta: 12:42:01 time: 0.263 data_time: 0.069 memory: 6404 grad_norm: 5.9803 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3899 loss: 1.3899 2022/06/30 07:19:28 - mmengine - INFO - Epoch(train) [56][2680/3757] lr: 1.000e-03 eta: 12:41:55 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 7.6378 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1750 loss: 1.1750 2022/06/30 07:19:33 - mmengine - INFO - Epoch(train) [56][2700/3757] lr: 1.000e-03 eta: 12:41:49 time: 0.249 data_time: 0.014 memory: 6404 grad_norm: 5.8597 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4069 loss: 1.4069 2022/06/30 07:19:38 - mmengine - INFO - Epoch(train) [56][2720/3757] lr: 1.000e-03 eta: 12:41:44 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.1198 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0334 loss: 1.0334 2022/06/30 07:19:44 - mmengine - INFO - Epoch(train) [56][2740/3757] lr: 1.000e-03 eta: 12:41:38 time: 0.710 data_time: 0.011 memory: 6404 grad_norm: 5.6110 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3644 loss: 1.3644 2022/06/30 07:19:49 - mmengine - INFO - Epoch(train) [56][2760/3757] lr: 1.000e-03 eta: 12:41:33 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 7.3864 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1947 loss: 1.1947 2022/06/30 07:19:55 - mmengine - INFO - Epoch(train) [56][2780/3757] lr: 1.000e-03 eta: 12:41:27 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.7120 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3333 loss: 1.3333 2022/06/30 07:20:00 - mmengine - INFO - Epoch(train) [56][2800/3757] lr: 1.000e-03 eta: 12:41:21 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 7.1364 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1158 loss: 1.1158 2022/06/30 07:20:06 - mmengine - INFO - Epoch(train) [56][2820/3757] lr: 1.000e-03 eta: 12:41:16 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 7.0646 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4306 loss: 1.4306 2022/06/30 07:20:11 - mmengine - INFO - Epoch(train) [56][2840/3757] lr: 1.000e-03 eta: 12:41:10 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.3122 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4293 loss: 1.4293 2022/06/30 07:20:16 - mmengine - INFO - Epoch(train) [56][2860/3757] lr: 1.000e-03 eta: 12:41:05 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 6.6066 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7805 loss: 0.7805 2022/06/30 07:20:22 - mmengine - INFO - Epoch(train) [56][2880/3757] lr: 1.000e-03 eta: 12:40:59 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 6.3237 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2404 loss: 1.2404 2022/06/30 07:20:27 - mmengine - INFO - Epoch(train) [56][2900/3757] lr: 1.000e-03 eta: 12:40:54 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 7.2974 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2915 loss: 1.2915 2022/06/30 07:20:33 - mmengine - INFO - Epoch(train) [56][2920/3757] lr: 1.000e-03 eta: 12:40:48 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 7.3297 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4519 loss: 1.4519 2022/06/30 07:20:39 - mmengine - INFO - Epoch(train) [56][2940/3757] lr: 1.000e-03 eta: 12:40:43 time: 0.797 data_time: 0.007 memory: 6404 grad_norm: 6.5624 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9473 loss: 0.9473 2022/06/30 07:20:44 - mmengine - INFO - Epoch(train) [56][2960/3757] lr: 1.000e-03 eta: 12:40:37 time: 0.264 data_time: 0.013 memory: 6404 grad_norm: 6.6332 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0689 loss: 1.0689 2022/06/30 07:20:49 - mmengine - INFO - Epoch(train) [56][2980/3757] lr: 1.000e-03 eta: 12:40:32 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.5070 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0861 loss: 1.0861 2022/06/30 07:20:55 - mmengine - INFO - Epoch(train) [56][3000/3757] lr: 1.000e-03 eta: 12:40:26 time: 0.602 data_time: 0.007 memory: 6404 grad_norm: 4.8414 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0299 loss: 1.0299 2022/06/30 07:21:00 - mmengine - INFO - Epoch(train) [56][3020/3757] lr: 1.000e-03 eta: 12:40:21 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.8971 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0659 loss: 1.0659 2022/06/30 07:21:06 - mmengine - INFO - Epoch(train) [56][3040/3757] lr: 1.000e-03 eta: 12:40:15 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 6.2257 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1241 loss: 1.1241 2022/06/30 07:21:11 - mmengine - INFO - Epoch(train) [56][3060/3757] lr: 1.000e-03 eta: 12:40:10 time: 0.398 data_time: 0.008 memory: 6404 grad_norm: 8.4691 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2862 loss: 1.2862 2022/06/30 07:21:16 - mmengine - INFO - Epoch(train) [56][3080/3757] lr: 1.000e-03 eta: 12:40:04 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.6234 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3156 loss: 1.3156 2022/06/30 07:21:22 - mmengine - INFO - Epoch(train) [56][3100/3757] lr: 1.000e-03 eta: 12:39:58 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 7.4942 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9681 loss: 0.9681 2022/06/30 07:21:27 - mmengine - INFO - Epoch(train) [56][3120/3757] lr: 1.000e-03 eta: 12:39:53 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 5.8097 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1399 loss: 1.1399 2022/06/30 07:21:33 - mmengine - INFO - Epoch(train) [56][3140/3757] lr: 1.000e-03 eta: 12:39:47 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.0267 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3428 loss: 1.3428 2022/06/30 07:21:38 - mmengine - INFO - Epoch(train) [56][3160/3757] lr: 1.000e-03 eta: 12:39:42 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 6.1340 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9388 loss: 0.9388 2022/06/30 07:21:44 - mmengine - INFO - Epoch(train) [56][3180/3757] lr: 1.000e-03 eta: 12:39:36 time: 0.370 data_time: 0.007 memory: 6404 grad_norm: 6.9149 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9340 loss: 0.9340 2022/06/30 07:21:49 - mmengine - INFO - Epoch(train) [56][3200/3757] lr: 1.000e-03 eta: 12:39:31 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.6212 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2187 loss: 1.2187 2022/06/30 07:21:54 - mmengine - INFO - Epoch(train) [56][3220/3757] lr: 1.000e-03 eta: 12:39:25 time: 0.248 data_time: 0.048 memory: 6404 grad_norm: 7.4802 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0578 loss: 1.0578 2022/06/30 07:22:00 - mmengine - INFO - Epoch(train) [56][3240/3757] lr: 1.000e-03 eta: 12:39:19 time: 0.259 data_time: 0.012 memory: 6404 grad_norm: 7.4964 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3219 loss: 1.3219 2022/06/30 07:22:05 - mmengine - INFO - Epoch(train) [56][3260/3757] lr: 1.000e-03 eta: 12:39:14 time: 0.271 data_time: 0.007 memory: 6404 grad_norm: 6.5860 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5487 loss: 1.5487 2022/06/30 07:22:11 - mmengine - INFO - Epoch(train) [56][3280/3757] lr: 1.000e-03 eta: 12:39:08 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.7768 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2427 loss: 1.2427 2022/06/30 07:22:16 - mmengine - INFO - Epoch(train) [56][3300/3757] lr: 1.000e-03 eta: 12:39:03 time: 0.247 data_time: 0.016 memory: 6404 grad_norm: 6.7740 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3864 loss: 1.3864 2022/06/30 07:22:22 - mmengine - INFO - Epoch(train) [56][3320/3757] lr: 1.000e-03 eta: 12:38:57 time: 0.272 data_time: 0.009 memory: 6404 grad_norm: 7.3026 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4361 loss: 1.4361 2022/06/30 07:22:27 - mmengine - INFO - Epoch(train) [56][3340/3757] lr: 1.000e-03 eta: 12:38:52 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 6.5788 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2063 loss: 1.2063 2022/06/30 07:22:32 - mmengine - INFO - Epoch(train) [56][3360/3757] lr: 1.000e-03 eta: 12:38:46 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 6.0243 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2459 loss: 1.2459 2022/06/30 07:22:34 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 07:22:38 - mmengine - INFO - Epoch(train) [56][3380/3757] lr: 1.000e-03 eta: 12:38:40 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 5.9871 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2545 loss: 1.2545 2022/06/30 07:22:43 - mmengine - INFO - Epoch(train) [56][3400/3757] lr: 1.000e-03 eta: 12:38:35 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 6.5486 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2761 loss: 1.2761 2022/06/30 07:22:49 - mmengine - INFO - Epoch(train) [56][3420/3757] lr: 1.000e-03 eta: 12:38:29 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.3606 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4178 loss: 1.4178 2022/06/30 07:22:54 - mmengine - INFO - Epoch(train) [56][3440/3757] lr: 1.000e-03 eta: 12:38:24 time: 0.291 data_time: 0.033 memory: 6404 grad_norm: 6.6332 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9924 loss: 0.9924 2022/06/30 07:23:00 - mmengine - INFO - Epoch(train) [56][3460/3757] lr: 1.000e-03 eta: 12:38:19 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.6476 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3285 loss: 1.3285 2022/06/30 07:23:05 - mmengine - INFO - Epoch(train) [56][3480/3757] lr: 1.000e-03 eta: 12:38:13 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 7.5007 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6400 loss: 1.6400 2022/06/30 07:23:11 - mmengine - INFO - Epoch(train) [56][3500/3757] lr: 1.000e-03 eta: 12:38:07 time: 0.261 data_time: 0.011 memory: 6404 grad_norm: 6.3616 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1432 loss: 1.1432 2022/06/30 07:23:16 - mmengine - INFO - Epoch(train) [56][3520/3757] lr: 1.000e-03 eta: 12:38:02 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 7.7213 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5003 loss: 1.5003 2022/06/30 07:23:22 - mmengine - INFO - Epoch(train) [56][3540/3757] lr: 1.000e-03 eta: 12:37:56 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 7.6041 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2159 loss: 1.2159 2022/06/30 07:23:27 - mmengine - INFO - Epoch(train) [56][3560/3757] lr: 1.000e-03 eta: 12:37:51 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 7.3855 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3223 loss: 1.3223 2022/06/30 07:23:32 - mmengine - INFO - Epoch(train) [56][3580/3757] lr: 1.000e-03 eta: 12:37:45 time: 0.255 data_time: 0.020 memory: 6404 grad_norm: 7.2114 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4120 loss: 1.4120 2022/06/30 07:23:38 - mmengine - INFO - Epoch(train) [56][3600/3757] lr: 1.000e-03 eta: 12:37:40 time: 0.271 data_time: 0.013 memory: 6404 grad_norm: 7.5296 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2285 loss: 1.2285 2022/06/30 07:23:43 - mmengine - INFO - Epoch(train) [56][3620/3757] lr: 1.000e-03 eta: 12:37:34 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.8988 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3137 loss: 1.3137 2022/06/30 07:23:49 - mmengine - INFO - Epoch(train) [56][3640/3757] lr: 1.000e-03 eta: 12:37:28 time: 0.260 data_time: 0.016 memory: 6404 grad_norm: 5.7333 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4475 loss: 1.4475 2022/06/30 07:23:54 - mmengine - INFO - Epoch(train) [56][3660/3757] lr: 1.000e-03 eta: 12:37:23 time: 0.304 data_time: 0.040 memory: 6404 grad_norm: 8.2439 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4004 loss: 1.4004 2022/06/30 07:23:59 - mmengine - INFO - Epoch(train) [56][3680/3757] lr: 1.000e-03 eta: 12:37:17 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.6210 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4459 loss: 1.4459 2022/06/30 07:24:06 - mmengine - INFO - Epoch(train) [56][3700/3757] lr: 1.000e-03 eta: 12:37:12 time: 0.251 data_time: 0.016 memory: 6404 grad_norm: 6.1164 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4242 loss: 1.4242 2022/06/30 07:24:11 - mmengine - INFO - Epoch(train) [56][3720/3757] lr: 1.000e-03 eta: 12:37:06 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.0149 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5640 loss: 1.5640 2022/06/30 07:24:16 - mmengine - INFO - Epoch(train) [56][3740/3757] lr: 1.000e-03 eta: 12:37:01 time: 0.273 data_time: 0.007 memory: 6404 grad_norm: 6.6675 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6137 loss: 1.6137 2022/06/30 07:24:20 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 07:24:27 - mmengine - INFO - Epoch(val) [56][20/310] eta: 0:01:31 time: 0.118 data_time: 0.015 memory: 6404 2022/06/30 07:24:33 - mmengine - INFO - Epoch(val) [56][40/310] eta: 0:01:19 time: 0.213 data_time: 0.135 memory: 1479 2022/06/30 07:24:37 - mmengine - INFO - Epoch(val) [56][60/310] eta: 0:00:23 time: 0.091 data_time: 0.015 memory: 1479 2022/06/30 07:24:43 - mmengine - INFO - Epoch(val) [56][80/310] eta: 0:01:14 time: 0.096 data_time: 0.013 memory: 1479 2022/06/30 07:24:49 - mmengine - INFO - Epoch(val) [56][100/310] eta: 0:01:02 time: 0.412 data_time: 0.327 memory: 1479 2022/06/30 07:24:53 - mmengine - INFO - Epoch(val) [56][120/310] eta: 0:00:20 time: 0.089 data_time: 0.009 memory: 1479 2022/06/30 07:24:59 - mmengine - INFO - Epoch(val) [56][140/310] eta: 0:00:54 time: 0.079 data_time: 0.005 memory: 1479 2022/06/30 07:25:06 - mmengine - INFO - Epoch(val) [56][160/310] eta: 0:00:47 time: 1.605 data_time: 1.517 memory: 1479 2022/06/30 07:25:09 - mmengine - INFO - Epoch(val) [56][180/310] eta: 0:00:35 time: 0.081 data_time: 0.006 memory: 1479 2022/06/30 07:25:15 - mmengine - INFO - Epoch(val) [56][200/310] eta: 0:00:32 time: 0.079 data_time: 0.005 memory: 1479 2022/06/30 07:25:21 - mmengine - INFO - Epoch(val) [56][220/310] eta: 0:00:25 time: 1.124 data_time: 1.040 memory: 1479 2022/06/30 07:25:25 - mmengine - INFO - Epoch(val) [56][240/310] eta: 0:00:18 time: 0.086 data_time: 0.006 memory: 1479 2022/06/30 07:25:31 - mmengine - INFO - Epoch(val) [56][260/310] eta: 0:00:15 time: 0.082 data_time: 0.005 memory: 1479 2022/06/30 07:25:37 - mmengine - INFO - Epoch(val) [56][280/310] eta: 0:00:08 time: 1.001 data_time: 0.918 memory: 1479 2022/06/30 07:25:41 - mmengine - INFO - Epoch(val) [56][300/310] eta: 0:00:02 time: 0.087 data_time: 0.007 memory: 1479 2022/06/30 07:25:43 - mmengine - INFO - Epoch(val) [56][310/310] acc/top1: 0.6636 acc/top5: 0.8682 acc/mean1: 0.6635 2022/06/30 07:25:52 - mmengine - INFO - Epoch(train) [57][20/3757] lr: 1.000e-03 eta: 12:36:52 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 6.5579 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3872 loss: 1.3872 2022/06/30 07:25:58 - mmengine - INFO - Epoch(train) [57][40/3757] lr: 1.000e-03 eta: 12:36:46 time: 0.236 data_time: 0.042 memory: 6404 grad_norm: 6.4505 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2049 loss: 1.2049 2022/06/30 07:26:03 - mmengine - INFO - Epoch(train) [57][60/3757] lr: 1.000e-03 eta: 12:36:41 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 6.9595 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2988 loss: 1.2988 2022/06/30 07:26:09 - mmengine - INFO - Epoch(train) [57][80/3757] lr: 1.000e-03 eta: 12:36:35 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.4851 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1910 loss: 1.1910 2022/06/30 07:26:14 - mmengine - INFO - Epoch(train) [57][100/3757] lr: 1.000e-03 eta: 12:36:30 time: 0.373 data_time: 0.079 memory: 6404 grad_norm: 6.8164 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3228 loss: 1.3228 2022/06/30 07:26:20 - mmengine - INFO - Epoch(train) [57][120/3757] lr: 1.000e-03 eta: 12:36:24 time: 0.276 data_time: 0.007 memory: 6404 grad_norm: 7.2877 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3185 loss: 1.3185 2022/06/30 07:26:25 - mmengine - INFO - Epoch(train) [57][140/3757] lr: 1.000e-03 eta: 12:36:18 time: 0.270 data_time: 0.013 memory: 6404 grad_norm: 6.6855 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2675 loss: 1.2675 2022/06/30 07:26:30 - mmengine - INFO - Epoch(train) [57][160/3757] lr: 1.000e-03 eta: 12:36:13 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 6.6367 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8280 loss: 0.8280 2022/06/30 07:26:36 - mmengine - INFO - Epoch(train) [57][180/3757] lr: 1.000e-03 eta: 12:36:08 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 7.1680 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3111 loss: 1.3111 2022/06/30 07:26:42 - mmengine - INFO - Epoch(train) [57][200/3757] lr: 1.000e-03 eta: 12:36:02 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 7.0321 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3333 loss: 1.3333 2022/06/30 07:26:47 - mmengine - INFO - Epoch(train) [57][220/3757] lr: 1.000e-03 eta: 12:35:56 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 6.1634 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0062 loss: 1.0062 2022/06/30 07:26:53 - mmengine - INFO - Epoch(train) [57][240/3757] lr: 1.000e-03 eta: 12:35:51 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 8.2759 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1260 loss: 1.1260 2022/06/30 07:26:58 - mmengine - INFO - Epoch(train) [57][260/3757] lr: 1.000e-03 eta: 12:35:45 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 7.0736 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4021 loss: 1.4021 2022/06/30 07:27:03 - mmengine - INFO - Epoch(train) [57][280/3757] lr: 1.000e-03 eta: 12:35:40 time: 0.242 data_time: 0.013 memory: 6404 grad_norm: 6.2075 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0974 loss: 1.0974 2022/06/30 07:27:08 - mmengine - INFO - Epoch(train) [57][300/3757] lr: 1.000e-03 eta: 12:35:34 time: 0.259 data_time: 0.006 memory: 6404 grad_norm: 7.1010 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5591 loss: 1.5591 2022/06/30 07:27:14 - mmengine - INFO - Epoch(train) [57][320/3757] lr: 1.000e-03 eta: 12:35:28 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 8.2007 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9352 loss: 0.9352 2022/06/30 07:27:20 - mmengine - INFO - Epoch(train) [57][340/3757] lr: 1.000e-03 eta: 12:35:23 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 6.8961 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9693 loss: 0.9693 2022/06/30 07:27:25 - mmengine - INFO - Epoch(train) [57][360/3757] lr: 1.000e-03 eta: 12:35:17 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 7.0910 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3371 loss: 1.3371 2022/06/30 07:27:30 - mmengine - INFO - Epoch(train) [57][380/3757] lr: 1.000e-03 eta: 12:35:12 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 6.7831 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0410 loss: 1.0410 2022/06/30 07:27:36 - mmengine - INFO - Epoch(train) [57][400/3757] lr: 1.000e-03 eta: 12:35:06 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 8.0784 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0601 loss: 1.0601 2022/06/30 07:27:41 - mmengine - INFO - Epoch(train) [57][420/3757] lr: 1.000e-03 eta: 12:35:01 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.9685 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5109 loss: 1.5109 2022/06/30 07:27:46 - mmengine - INFO - Epoch(train) [57][440/3757] lr: 1.000e-03 eta: 12:34:55 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.2167 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5356 loss: 1.5356 2022/06/30 07:27:52 - mmengine - INFO - Epoch(train) [57][460/3757] lr: 1.000e-03 eta: 12:34:50 time: 0.260 data_time: 0.013 memory: 6404 grad_norm: 5.7854 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8618 loss: 0.8618 2022/06/30 07:27:57 - mmengine - INFO - Epoch(train) [57][480/3757] lr: 1.000e-03 eta: 12:34:44 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.0117 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0345 loss: 1.0345 2022/06/30 07:28:03 - mmengine - INFO - Epoch(train) [57][500/3757] lr: 1.000e-03 eta: 12:34:39 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 7.2666 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1030 loss: 1.1030 2022/06/30 07:28:08 - mmengine - INFO - Epoch(train) [57][520/3757] lr: 1.000e-03 eta: 12:34:33 time: 0.266 data_time: 0.011 memory: 6404 grad_norm: 6.3615 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0937 loss: 1.0937 2022/06/30 07:28:13 - mmengine - INFO - Epoch(train) [57][540/3757] lr: 1.000e-03 eta: 12:34:27 time: 0.245 data_time: 0.017 memory: 6404 grad_norm: 7.7566 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4726 loss: 1.4726 2022/06/30 07:28:19 - mmengine - INFO - Epoch(train) [57][560/3757] lr: 1.000e-03 eta: 12:34:22 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.4172 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3072 loss: 1.3072 2022/06/30 07:28:25 - mmengine - INFO - Epoch(train) [57][580/3757] lr: 1.000e-03 eta: 12:34:16 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 7.6225 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2612 loss: 1.2612 2022/06/30 07:28:30 - mmengine - INFO - Epoch(train) [57][600/3757] lr: 1.000e-03 eta: 12:34:11 time: 0.247 data_time: 0.016 memory: 6404 grad_norm: 9.0560 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1861 loss: 1.1861 2022/06/30 07:28:32 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 07:28:35 - mmengine - INFO - Epoch(train) [57][620/3757] lr: 1.000e-03 eta: 12:34:05 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.6558 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2398 loss: 1.2398 2022/06/30 07:28:41 - mmengine - INFO - Epoch(train) [57][640/3757] lr: 1.000e-03 eta: 12:34:00 time: 0.255 data_time: 0.018 memory: 6404 grad_norm: 6.8000 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0028 loss: 1.0028 2022/06/30 07:28:46 - mmengine - INFO - Epoch(train) [57][660/3757] lr: 1.000e-03 eta: 12:33:54 time: 0.253 data_time: 0.017 memory: 6404 grad_norm: 7.0917 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2365 loss: 1.2365 2022/06/30 07:28:52 - mmengine - INFO - Epoch(train) [57][680/3757] lr: 1.000e-03 eta: 12:33:49 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.3832 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3096 loss: 1.3096 2022/06/30 07:28:58 - mmengine - INFO - Epoch(train) [57][700/3757] lr: 1.000e-03 eta: 12:33:43 time: 0.254 data_time: 0.016 memory: 6404 grad_norm: 7.2309 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3335 loss: 1.3335 2022/06/30 07:29:03 - mmengine - INFO - Epoch(train) [57][720/3757] lr: 1.000e-03 eta: 12:33:38 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 6.7310 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4439 loss: 1.4439 2022/06/30 07:29:08 - mmengine - INFO - Epoch(train) [57][740/3757] lr: 1.000e-03 eta: 12:33:32 time: 0.241 data_time: 0.010 memory: 6404 grad_norm: 6.9718 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5695 loss: 1.5695 2022/06/30 07:29:13 - mmengine - INFO - Epoch(train) [57][760/3757] lr: 1.000e-03 eta: 12:33:26 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 6.4542 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2327 loss: 1.2327 2022/06/30 07:29:19 - mmengine - INFO - Epoch(train) [57][780/3757] lr: 1.000e-03 eta: 12:33:20 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 7.6983 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0899 loss: 1.0899 2022/06/30 07:29:24 - mmengine - INFO - Epoch(train) [57][800/3757] lr: 1.000e-03 eta: 12:33:15 time: 0.256 data_time: 0.015 memory: 6404 grad_norm: 7.4001 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1712 loss: 1.1712 2022/06/30 07:29:29 - mmengine - INFO - Epoch(train) [57][820/3757] lr: 1.000e-03 eta: 12:33:09 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 6.9163 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1795 loss: 1.1795 2022/06/30 07:29:34 - mmengine - INFO - Epoch(train) [57][840/3757] lr: 1.000e-03 eta: 12:33:03 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 4.8047 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0761 loss: 1.0761 2022/06/30 07:29:40 - mmengine - INFO - Epoch(train) [57][860/3757] lr: 1.000e-03 eta: 12:32:58 time: 0.259 data_time: 0.012 memory: 6404 grad_norm: 7.1231 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5743 loss: 1.5743 2022/06/30 07:29:45 - mmengine - INFO - Epoch(train) [57][880/3757] lr: 1.000e-03 eta: 12:32:52 time: 0.273 data_time: 0.009 memory: 6404 grad_norm: 7.4141 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3461 loss: 1.3461 2022/06/30 07:29:51 - mmengine - INFO - Epoch(train) [57][900/3757] lr: 1.000e-03 eta: 12:32:47 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 7.9639 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6257 loss: 1.6257 2022/06/30 07:29:56 - mmengine - INFO - Epoch(train) [57][920/3757] lr: 1.000e-03 eta: 12:32:41 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 7.0088 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0961 loss: 1.0961 2022/06/30 07:30:02 - mmengine - INFO - Epoch(train) [57][940/3757] lr: 1.000e-03 eta: 12:32:36 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 6.0381 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5052 loss: 1.5052 2022/06/30 07:30:07 - mmengine - INFO - Epoch(train) [57][960/3757] lr: 1.000e-03 eta: 12:32:30 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.3247 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2699 loss: 1.2699 2022/06/30 07:30:13 - mmengine - INFO - Epoch(train) [57][980/3757] lr: 1.000e-03 eta: 12:32:25 time: 0.263 data_time: 0.016 memory: 6404 grad_norm: 7.9164 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3950 loss: 1.3950 2022/06/30 07:30:19 - mmengine - INFO - Epoch(train) [57][1000/3757] lr: 1.000e-03 eta: 12:32:20 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.0157 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2933 loss: 1.2933 2022/06/30 07:30:24 - mmengine - INFO - Epoch(train) [57][1020/3757] lr: 1.000e-03 eta: 12:32:14 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 7.2224 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2649 loss: 1.2649 2022/06/30 07:30:30 - mmengine - INFO - Epoch(train) [57][1040/3757] lr: 1.000e-03 eta: 12:32:09 time: 0.263 data_time: 0.013 memory: 6404 grad_norm: 7.6000 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0265 loss: 1.0265 2022/06/30 07:30:35 - mmengine - INFO - Epoch(train) [57][1060/3757] lr: 1.000e-03 eta: 12:32:03 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 6.6448 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0625 loss: 1.0625 2022/06/30 07:30:41 - mmengine - INFO - Epoch(train) [57][1080/3757] lr: 1.000e-03 eta: 12:31:58 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.4731 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0682 loss: 1.0682 2022/06/30 07:30:46 - mmengine - INFO - Epoch(train) [57][1100/3757] lr: 1.000e-03 eta: 12:31:52 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 7.2163 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2943 loss: 1.2943 2022/06/30 07:30:51 - mmengine - INFO - Epoch(train) [57][1120/3757] lr: 1.000e-03 eta: 12:31:46 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 8.0767 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1807 loss: 1.1807 2022/06/30 07:30:57 - mmengine - INFO - Epoch(train) [57][1140/3757] lr: 1.000e-03 eta: 12:31:41 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 6.3824 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1851 loss: 1.1851 2022/06/30 07:31:02 - mmengine - INFO - Epoch(train) [57][1160/3757] lr: 1.000e-03 eta: 12:31:35 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.8243 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0203 loss: 1.0203 2022/06/30 07:31:08 - mmengine - INFO - Epoch(train) [57][1180/3757] lr: 1.000e-03 eta: 12:31:30 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 7.2502 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3931 loss: 1.3931 2022/06/30 07:31:14 - mmengine - INFO - Epoch(train) [57][1200/3757] lr: 1.000e-03 eta: 12:31:25 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 7.1070 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4180 loss: 1.4180 2022/06/30 07:31:19 - mmengine - INFO - Epoch(train) [57][1220/3757] lr: 1.000e-03 eta: 12:31:19 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 5.0034 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1169 loss: 1.1169 2022/06/30 07:31:26 - mmengine - INFO - Epoch(train) [57][1240/3757] lr: 1.000e-03 eta: 12:31:14 time: 0.260 data_time: 0.019 memory: 6404 grad_norm: 6.8863 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3069 loss: 1.3069 2022/06/30 07:31:31 - mmengine - INFO - Epoch(train) [57][1260/3757] lr: 1.000e-03 eta: 12:31:09 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 6.9768 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1154 loss: 1.1154 2022/06/30 07:31:36 - mmengine - INFO - Epoch(train) [57][1280/3757] lr: 1.000e-03 eta: 12:31:03 time: 0.263 data_time: 0.014 memory: 6404 grad_norm: 6.4786 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9421 loss: 1.9421 2022/06/30 07:31:41 - mmengine - INFO - Epoch(train) [57][1300/3757] lr: 1.000e-03 eta: 12:30:57 time: 0.246 data_time: 0.017 memory: 6404 grad_norm: 5.6832 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3939 loss: 1.3939 2022/06/30 07:31:47 - mmengine - INFO - Epoch(train) [57][1320/3757] lr: 1.000e-03 eta: 12:30:52 time: 0.254 data_time: 0.017 memory: 6404 grad_norm: 6.6840 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9718 loss: 0.9718 2022/06/30 07:31:52 - mmengine - INFO - Epoch(train) [57][1340/3757] lr: 1.000e-03 eta: 12:30:46 time: 0.247 data_time: 0.016 memory: 6404 grad_norm: 7.0818 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1861 loss: 1.1861 2022/06/30 07:31:57 - mmengine - INFO - Epoch(train) [57][1360/3757] lr: 1.000e-03 eta: 12:30:40 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 6.8601 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6332 loss: 1.6332 2022/06/30 07:32:03 - mmengine - INFO - Epoch(train) [57][1380/3757] lr: 1.000e-03 eta: 12:30:35 time: 0.251 data_time: 0.015 memory: 6404 grad_norm: 6.3351 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2426 loss: 1.2426 2022/06/30 07:32:09 - mmengine - INFO - Epoch(train) [57][1400/3757] lr: 1.000e-03 eta: 12:30:30 time: 0.256 data_time: 0.013 memory: 6404 grad_norm: 6.1979 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0782 loss: 1.0782 2022/06/30 07:32:14 - mmengine - INFO - Epoch(train) [57][1420/3757] lr: 1.000e-03 eta: 12:30:24 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 7.2751 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4229 loss: 1.4229 2022/06/30 07:32:19 - mmengine - INFO - Epoch(train) [57][1440/3757] lr: 1.000e-03 eta: 12:30:18 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 6.9400 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8174 loss: 0.8174 2022/06/30 07:32:25 - mmengine - INFO - Epoch(train) [57][1460/3757] lr: 1.000e-03 eta: 12:30:13 time: 0.400 data_time: 0.011 memory: 6404 grad_norm: 6.4527 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2881 loss: 1.2881 2022/06/30 07:32:30 - mmengine - INFO - Epoch(train) [57][1480/3757] lr: 1.000e-03 eta: 12:30:07 time: 0.265 data_time: 0.011 memory: 6404 grad_norm: 7.5042 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1943 loss: 1.1943 2022/06/30 07:32:36 - mmengine - INFO - Epoch(train) [57][1500/3757] lr: 1.000e-03 eta: 12:30:02 time: 0.245 data_time: 0.009 memory: 6404 grad_norm: 5.9476 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1084 loss: 1.1084 2022/06/30 07:32:41 - mmengine - INFO - Epoch(train) [57][1520/3757] lr: 1.000e-03 eta: 12:29:56 time: 0.267 data_time: 0.019 memory: 6404 grad_norm: 7.2452 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0827 loss: 1.0827 2022/06/30 07:32:47 - mmengine - INFO - Epoch(train) [57][1540/3757] lr: 1.000e-03 eta: 12:29:51 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.8766 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3230 loss: 1.3230 2022/06/30 07:32:53 - mmengine - INFO - Epoch(train) [57][1560/3757] lr: 1.000e-03 eta: 12:29:45 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 7.1753 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4850 loss: 1.4850 2022/06/30 07:32:59 - mmengine - INFO - Epoch(train) [57][1580/3757] lr: 1.000e-03 eta: 12:29:40 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.5133 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4769 loss: 1.4769 2022/06/30 07:33:04 - mmengine - INFO - Epoch(train) [57][1600/3757] lr: 1.000e-03 eta: 12:29:35 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 6.8936 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5476 loss: 1.5476 2022/06/30 07:33:06 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 07:33:09 - mmengine - INFO - Epoch(train) [57][1620/3757] lr: 1.000e-03 eta: 12:29:29 time: 0.263 data_time: 0.012 memory: 6404 grad_norm: 5.6169 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0750 loss: 1.0750 2022/06/30 07:33:15 - mmengine - INFO - Epoch(train) [57][1640/3757] lr: 1.000e-03 eta: 12:29:23 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.1179 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0688 loss: 1.0688 2022/06/30 07:33:20 - mmengine - INFO - Epoch(train) [57][1660/3757] lr: 1.000e-03 eta: 12:29:18 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 7.8363 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0480 loss: 1.0480 2022/06/30 07:33:26 - mmengine - INFO - Epoch(train) [57][1680/3757] lr: 1.000e-03 eta: 12:29:13 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 6.0810 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3090 loss: 1.3090 2022/06/30 07:33:31 - mmengine - INFO - Epoch(train) [57][1700/3757] lr: 1.000e-03 eta: 12:29:07 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.8846 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9721 loss: 0.9721 2022/06/30 07:33:37 - mmengine - INFO - Epoch(train) [57][1720/3757] lr: 1.000e-03 eta: 12:29:01 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.9783 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0968 loss: 1.0968 2022/06/30 07:33:42 - mmengine - INFO - Epoch(train) [57][1740/3757] lr: 1.000e-03 eta: 12:28:56 time: 0.261 data_time: 0.012 memory: 6404 grad_norm: 6.9725 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0921 loss: 1.0921 2022/06/30 07:33:48 - mmengine - INFO - Epoch(train) [57][1760/3757] lr: 1.000e-03 eta: 12:28:51 time: 0.256 data_time: 0.018 memory: 6404 grad_norm: 6.8553 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0245 loss: 1.0245 2022/06/30 07:33:53 - mmengine - INFO - Epoch(train) [57][1780/3757] lr: 1.000e-03 eta: 12:28:45 time: 0.252 data_time: 0.024 memory: 6404 grad_norm: 8.0552 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0552 loss: 1.0552 2022/06/30 07:33:58 - mmengine - INFO - Epoch(train) [57][1800/3757] lr: 1.000e-03 eta: 12:28:39 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 6.4912 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1133 loss: 1.1133 2022/06/30 07:34:04 - mmengine - INFO - Epoch(train) [57][1820/3757] lr: 1.000e-03 eta: 12:28:34 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 6.3954 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2389 loss: 1.2389 2022/06/30 07:34:09 - mmengine - INFO - Epoch(train) [57][1840/3757] lr: 1.000e-03 eta: 12:28:28 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 6.9774 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1637 loss: 1.1637 2022/06/30 07:34:15 - mmengine - INFO - Epoch(train) [57][1860/3757] lr: 1.000e-03 eta: 12:28:23 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 6.3801 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2973 loss: 1.2973 2022/06/30 07:34:20 - mmengine - INFO - Epoch(train) [57][1880/3757] lr: 1.000e-03 eta: 12:28:17 time: 0.247 data_time: 0.017 memory: 6404 grad_norm: 8.4503 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3343 loss: 1.3343 2022/06/30 07:34:25 - mmengine - INFO - Epoch(train) [57][1900/3757] lr: 1.000e-03 eta: 12:28:11 time: 0.249 data_time: 0.014 memory: 6404 grad_norm: 7.6398 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7845 loss: 0.7845 2022/06/30 07:34:31 - mmengine - INFO - Epoch(train) [57][1920/3757] lr: 1.000e-03 eta: 12:28:06 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 6.8319 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4338 loss: 1.4338 2022/06/30 07:34:36 - mmengine - INFO - Epoch(train) [57][1940/3757] lr: 1.000e-03 eta: 12:28:00 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 8.0284 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5263 loss: 1.5263 2022/06/30 07:34:42 - mmengine - INFO - Epoch(train) [57][1960/3757] lr: 1.000e-03 eta: 12:27:55 time: 0.255 data_time: 0.016 memory: 6404 grad_norm: 7.8741 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0015 loss: 1.0015 2022/06/30 07:34:47 - mmengine - INFO - Epoch(train) [57][1980/3757] lr: 1.000e-03 eta: 12:27:49 time: 0.303 data_time: 0.007 memory: 6404 grad_norm: 6.0054 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3320 loss: 1.3320 2022/06/30 07:34:53 - mmengine - INFO - Epoch(train) [57][2000/3757] lr: 1.000e-03 eta: 12:27:44 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 7.5427 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3147 loss: 1.3147 2022/06/30 07:34:59 - mmengine - INFO - Epoch(train) [57][2020/3757] lr: 1.000e-03 eta: 12:27:38 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 5.6608 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2854 loss: 1.2854 2022/06/30 07:35:04 - mmengine - INFO - Epoch(train) [57][2040/3757] lr: 1.000e-03 eta: 12:27:33 time: 0.524 data_time: 0.009 memory: 6404 grad_norm: 7.6326 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8763 loss: 0.8763 2022/06/30 07:35:10 - mmengine - INFO - Epoch(train) [57][2060/3757] lr: 1.000e-03 eta: 12:27:28 time: 0.273 data_time: 0.010 memory: 6404 grad_norm: 6.3364 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0696 loss: 1.0696 2022/06/30 07:35:15 - mmengine - INFO - Epoch(train) [57][2080/3757] lr: 1.000e-03 eta: 12:27:22 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 7.1592 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5256 loss: 1.5256 2022/06/30 07:35:21 - mmengine - INFO - Epoch(train) [57][2100/3757] lr: 1.000e-03 eta: 12:27:17 time: 0.275 data_time: 0.012 memory: 6404 grad_norm: 6.4866 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3416 loss: 1.3416 2022/06/30 07:35:26 - mmengine - INFO - Epoch(train) [57][2120/3757] lr: 1.000e-03 eta: 12:27:11 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 7.2757 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1594 loss: 1.1594 2022/06/30 07:35:32 - mmengine - INFO - Epoch(train) [57][2140/3757] lr: 1.000e-03 eta: 12:27:06 time: 0.272 data_time: 0.008 memory: 6404 grad_norm: 7.5299 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4271 loss: 1.4271 2022/06/30 07:35:37 - mmengine - INFO - Epoch(train) [57][2160/3757] lr: 1.000e-03 eta: 12:27:00 time: 0.265 data_time: 0.011 memory: 6404 grad_norm: 6.5526 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1883 loss: 1.1883 2022/06/30 07:35:43 - mmengine - INFO - Epoch(train) [57][2180/3757] lr: 1.000e-03 eta: 12:26:55 time: 0.288 data_time: 0.007 memory: 6404 grad_norm: 7.7187 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1501 loss: 1.1501 2022/06/30 07:35:48 - mmengine - INFO - Epoch(train) [57][2200/3757] lr: 1.000e-03 eta: 12:26:49 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 8.1490 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1992 loss: 1.1992 2022/06/30 07:35:53 - mmengine - INFO - Epoch(train) [57][2220/3757] lr: 1.000e-03 eta: 12:26:43 time: 0.283 data_time: 0.008 memory: 6404 grad_norm: 7.3588 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2129 loss: 1.2129 2022/06/30 07:36:00 - mmengine - INFO - Epoch(train) [57][2240/3757] lr: 1.000e-03 eta: 12:26:38 time: 0.243 data_time: 0.006 memory: 6404 grad_norm: 6.0745 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2510 loss: 1.2510 2022/06/30 07:36:05 - mmengine - INFO - Epoch(train) [57][2260/3757] lr: 1.000e-03 eta: 12:26:33 time: 0.272 data_time: 0.017 memory: 6404 grad_norm: 7.1530 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0080 loss: 1.0080 2022/06/30 07:36:10 - mmengine - INFO - Epoch(train) [57][2280/3757] lr: 1.000e-03 eta: 12:26:27 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 6.4147 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3134 loss: 1.3134 2022/06/30 07:36:16 - mmengine - INFO - Epoch(train) [57][2300/3757] lr: 1.000e-03 eta: 12:26:22 time: 0.279 data_time: 0.030 memory: 6404 grad_norm: 6.3450 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5085 loss: 1.5085 2022/06/30 07:36:21 - mmengine - INFO - Epoch(train) [57][2320/3757] lr: 1.000e-03 eta: 12:26:16 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 7.0887 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3229 loss: 1.3229 2022/06/30 07:36:26 - mmengine - INFO - Epoch(train) [57][2340/3757] lr: 1.000e-03 eta: 12:26:10 time: 0.261 data_time: 0.014 memory: 6404 grad_norm: 6.6757 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1493 loss: 1.1493 2022/06/30 07:36:31 - mmengine - INFO - Epoch(train) [57][2360/3757] lr: 1.000e-03 eta: 12:26:04 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 6.4185 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1842 loss: 1.1842 2022/06/30 07:36:36 - mmengine - INFO - Epoch(train) [57][2380/3757] lr: 1.000e-03 eta: 12:25:59 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.0386 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0101 loss: 1.0101 2022/06/30 07:36:42 - mmengine - INFO - Epoch(train) [57][2400/3757] lr: 1.000e-03 eta: 12:25:53 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 8.5847 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8942 loss: 0.8942 2022/06/30 07:36:48 - mmengine - INFO - Epoch(train) [57][2420/3757] lr: 1.000e-03 eta: 12:25:48 time: 0.263 data_time: 0.006 memory: 6404 grad_norm: 7.3902 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2032 loss: 1.2032 2022/06/30 07:36:53 - mmengine - INFO - Epoch(train) [57][2440/3757] lr: 1.000e-03 eta: 12:25:42 time: 0.269 data_time: 0.012 memory: 6404 grad_norm: 6.8585 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2115 loss: 1.2115 2022/06/30 07:36:58 - mmengine - INFO - Epoch(train) [57][2460/3757] lr: 1.000e-03 eta: 12:25:36 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.4783 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0841 loss: 1.0841 2022/06/30 07:37:04 - mmengine - INFO - Epoch(train) [57][2480/3757] lr: 1.000e-03 eta: 12:25:31 time: 0.585 data_time: 0.011 memory: 6404 grad_norm: 6.8613 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4445 loss: 1.4445 2022/06/30 07:37:09 - mmengine - INFO - Epoch(train) [57][2500/3757] lr: 1.000e-03 eta: 12:25:25 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 7.8730 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4233 loss: 1.4233 2022/06/30 07:37:15 - mmengine - INFO - Epoch(train) [57][2520/3757] lr: 1.000e-03 eta: 12:25:20 time: 0.587 data_time: 0.008 memory: 6404 grad_norm: 5.9153 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2185 loss: 1.2185 2022/06/30 07:37:20 - mmengine - INFO - Epoch(train) [57][2540/3757] lr: 1.000e-03 eta: 12:25:14 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 7.1531 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4099 loss: 1.4099 2022/06/30 07:37:26 - mmengine - INFO - Epoch(train) [57][2560/3757] lr: 1.000e-03 eta: 12:25:09 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 7.5125 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4821 loss: 1.4821 2022/06/30 07:37:32 - mmengine - INFO - Epoch(train) [57][2580/3757] lr: 1.000e-03 eta: 12:25:04 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 7.5202 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1932 loss: 1.1932 2022/06/30 07:37:37 - mmengine - INFO - Epoch(train) [57][2600/3757] lr: 1.000e-03 eta: 12:24:58 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.4116 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1317 loss: 1.1317 2022/06/30 07:37:39 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 07:37:42 - mmengine - INFO - Epoch(train) [57][2620/3757] lr: 1.000e-03 eta: 12:24:52 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 7.2546 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4464 loss: 1.4464 2022/06/30 07:37:47 - mmengine - INFO - Epoch(train) [57][2640/3757] lr: 1.000e-03 eta: 12:24:47 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 6.7559 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1724 loss: 1.1724 2022/06/30 07:37:53 - mmengine - INFO - Epoch(train) [57][2660/3757] lr: 1.000e-03 eta: 12:24:41 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 8.5094 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2662 loss: 1.2662 2022/06/30 07:37:59 - mmengine - INFO - Epoch(train) [57][2680/3757] lr: 1.000e-03 eta: 12:24:36 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 9.0252 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1360 loss: 1.1360 2022/06/30 07:38:05 - mmengine - INFO - Epoch(train) [57][2700/3757] lr: 1.000e-03 eta: 12:24:31 time: 0.288 data_time: 0.011 memory: 6404 grad_norm: 8.5122 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4897 loss: 1.4897 2022/06/30 07:38:10 - mmengine - INFO - Epoch(train) [57][2720/3757] lr: 1.000e-03 eta: 12:24:25 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 7.8925 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3789 loss: 1.3789 2022/06/30 07:38:15 - mmengine - INFO - Epoch(train) [57][2740/3757] lr: 1.000e-03 eta: 12:24:20 time: 0.351 data_time: 0.007 memory: 6404 grad_norm: 7.4246 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3591 loss: 1.3591 2022/06/30 07:38:20 - mmengine - INFO - Epoch(train) [57][2760/3757] lr: 1.000e-03 eta: 12:24:14 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 7.2707 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0851 loss: 1.0851 2022/06/30 07:38:26 - mmengine - INFO - Epoch(train) [57][2780/3757] lr: 1.000e-03 eta: 12:24:08 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 7.0234 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1896 loss: 1.1896 2022/06/30 07:38:31 - mmengine - INFO - Epoch(train) [57][2800/3757] lr: 1.000e-03 eta: 12:24:02 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 7.0635 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0343 loss: 1.0343 2022/06/30 07:38:36 - mmengine - INFO - Epoch(train) [57][2820/3757] lr: 1.000e-03 eta: 12:23:57 time: 0.239 data_time: 0.012 memory: 6404 grad_norm: 9.7363 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4571 loss: 1.4571 2022/06/30 07:38:42 - mmengine - INFO - Epoch(train) [57][2840/3757] lr: 1.000e-03 eta: 12:23:51 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 7.8097 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5428 loss: 1.5428 2022/06/30 07:38:48 - mmengine - INFO - Epoch(train) [57][2860/3757] lr: 1.000e-03 eta: 12:23:46 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 6.1080 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3141 loss: 1.3141 2022/06/30 07:38:53 - mmengine - INFO - Epoch(train) [57][2880/3757] lr: 1.000e-03 eta: 12:23:41 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 7.5980 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1486 loss: 1.1486 2022/06/30 07:38:59 - mmengine - INFO - Epoch(train) [57][2900/3757] lr: 1.000e-03 eta: 12:23:35 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 5.8368 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2621 loss: 1.2621 2022/06/30 07:39:04 - mmengine - INFO - Epoch(train) [57][2920/3757] lr: 1.000e-03 eta: 12:23:30 time: 0.295 data_time: 0.008 memory: 6404 grad_norm: 6.5011 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0445 loss: 1.0445 2022/06/30 07:39:10 - mmengine - INFO - Epoch(train) [57][2940/3757] lr: 1.000e-03 eta: 12:23:24 time: 0.434 data_time: 0.011 memory: 6404 grad_norm: 8.2847 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1972 loss: 1.1972 2022/06/30 07:39:15 - mmengine - INFO - Epoch(train) [57][2960/3757] lr: 1.000e-03 eta: 12:23:18 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 7.7833 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2983 loss: 1.2983 2022/06/30 07:39:21 - mmengine - INFO - Epoch(train) [57][2980/3757] lr: 1.000e-03 eta: 12:23:13 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 5.3612 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1721 loss: 1.1721 2022/06/30 07:39:26 - mmengine - INFO - Epoch(train) [57][3000/3757] lr: 1.000e-03 eta: 12:23:07 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 8.3752 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4844 loss: 1.4844 2022/06/30 07:39:31 - mmengine - INFO - Epoch(train) [57][3020/3757] lr: 1.000e-03 eta: 12:23:01 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 7.3532 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1709 loss: 1.1709 2022/06/30 07:39:36 - mmengine - INFO - Epoch(train) [57][3040/3757] lr: 1.000e-03 eta: 12:22:56 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 8.1980 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4693 loss: 1.4693 2022/06/30 07:39:42 - mmengine - INFO - Epoch(train) [57][3060/3757] lr: 1.000e-03 eta: 12:22:51 time: 0.275 data_time: 0.008 memory: 6404 grad_norm: 7.5313 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0657 loss: 1.0657 2022/06/30 07:39:47 - mmengine - INFO - Epoch(train) [57][3080/3757] lr: 1.000e-03 eta: 12:22:45 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 6.7298 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3614 loss: 1.3614 2022/06/30 07:39:53 - mmengine - INFO - Epoch(train) [57][3100/3757] lr: 1.000e-03 eta: 12:22:39 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 6.7127 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1103 loss: 1.1103 2022/06/30 07:39:58 - mmengine - INFO - Epoch(train) [57][3120/3757] lr: 1.000e-03 eta: 12:22:34 time: 0.250 data_time: 0.016 memory: 6404 grad_norm: 8.6216 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8824 loss: 1.8824 2022/06/30 07:40:04 - mmengine - INFO - Epoch(train) [57][3140/3757] lr: 1.000e-03 eta: 12:22:28 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 6.0520 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3907 loss: 1.3907 2022/06/30 07:40:09 - mmengine - INFO - Epoch(train) [57][3160/3757] lr: 1.000e-03 eta: 12:22:23 time: 0.278 data_time: 0.020 memory: 6404 grad_norm: 6.5800 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3655 loss: 1.3655 2022/06/30 07:40:15 - mmengine - INFO - Epoch(train) [57][3180/3757] lr: 1.000e-03 eta: 12:22:17 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 6.9061 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1494 loss: 1.1494 2022/06/30 07:40:20 - mmengine - INFO - Epoch(train) [57][3200/3757] lr: 1.000e-03 eta: 12:22:12 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 7.1526 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2927 loss: 1.2927 2022/06/30 07:40:26 - mmengine - INFO - Epoch(train) [57][3220/3757] lr: 1.000e-03 eta: 12:22:06 time: 0.285 data_time: 0.024 memory: 6404 grad_norm: 7.9740 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1597 loss: 1.1597 2022/06/30 07:40:31 - mmengine - INFO - Epoch(train) [57][3240/3757] lr: 1.000e-03 eta: 12:22:00 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 8.2379 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1622 loss: 1.1622 2022/06/30 07:40:37 - mmengine - INFO - Epoch(train) [57][3260/3757] lr: 1.000e-03 eta: 12:21:55 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 6.4970 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2915 loss: 1.2915 2022/06/30 07:40:42 - mmengine - INFO - Epoch(train) [57][3280/3757] lr: 1.000e-03 eta: 12:21:50 time: 0.538 data_time: 0.023 memory: 6404 grad_norm: 6.3076 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3848 loss: 1.3848 2022/06/30 07:40:47 - mmengine - INFO - Epoch(train) [57][3300/3757] lr: 1.000e-03 eta: 12:21:44 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 7.1116 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0790 loss: 1.0790 2022/06/30 07:40:53 - mmengine - INFO - Epoch(train) [57][3320/3757] lr: 1.000e-03 eta: 12:21:38 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 8.4741 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2815 loss: 1.2815 2022/06/30 07:40:59 - mmengine - INFO - Epoch(train) [57][3340/3757] lr: 1.000e-03 eta: 12:21:34 time: 0.268 data_time: 0.017 memory: 6404 grad_norm: 6.1322 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1532 loss: 1.1532 2022/06/30 07:41:04 - mmengine - INFO - Epoch(train) [57][3360/3757] lr: 1.000e-03 eta: 12:21:28 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 7.1559 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3586 loss: 1.3586 2022/06/30 07:41:10 - mmengine - INFO - Epoch(train) [57][3380/3757] lr: 1.000e-03 eta: 12:21:22 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 6.1305 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1973 loss: 1.1973 2022/06/30 07:41:15 - mmengine - INFO - Epoch(train) [57][3400/3757] lr: 1.000e-03 eta: 12:21:16 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 9.1397 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1204 loss: 1.1204 2022/06/30 07:41:20 - mmengine - INFO - Epoch(train) [57][3420/3757] lr: 1.000e-03 eta: 12:21:11 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 7.8594 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1015 loss: 1.1015 2022/06/30 07:41:25 - mmengine - INFO - Epoch(train) [57][3440/3757] lr: 1.000e-03 eta: 12:21:05 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 7.5751 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1304 loss: 1.1304 2022/06/30 07:41:31 - mmengine - INFO - Epoch(train) [57][3460/3757] lr: 1.000e-03 eta: 12:20:59 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 6.7376 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8496 loss: 0.8496 2022/06/30 07:41:36 - mmengine - INFO - Epoch(train) [57][3480/3757] lr: 1.000e-03 eta: 12:20:54 time: 0.422 data_time: 0.054 memory: 6404 grad_norm: 8.2621 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1647 loss: 1.1647 2022/06/30 07:41:42 - mmengine - INFO - Epoch(train) [57][3500/3757] lr: 1.000e-03 eta: 12:20:49 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 6.3166 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3530 loss: 1.3530 2022/06/30 07:41:47 - mmengine - INFO - Epoch(train) [57][3520/3757] lr: 1.000e-03 eta: 12:20:43 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 6.9799 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1330 loss: 1.1330 2022/06/30 07:41:53 - mmengine - INFO - Epoch(train) [57][3540/3757] lr: 1.000e-03 eta: 12:20:37 time: 0.253 data_time: 0.015 memory: 6404 grad_norm: 7.0193 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1738 loss: 1.1738 2022/06/30 07:41:58 - mmengine - INFO - Epoch(train) [57][3560/3757] lr: 1.000e-03 eta: 12:20:32 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 7.1405 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0874 loss: 1.0874 2022/06/30 07:42:04 - mmengine - INFO - Epoch(train) [57][3580/3757] lr: 1.000e-03 eta: 12:20:26 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.4743 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3613 loss: 1.3613 2022/06/30 07:42:09 - mmengine - INFO - Epoch(train) [57][3600/3757] lr: 1.000e-03 eta: 12:20:21 time: 0.262 data_time: 0.015 memory: 6404 grad_norm: 7.9506 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3086 loss: 1.3086 2022/06/30 07:42:11 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 07:42:14 - mmengine - INFO - Epoch(train) [57][3620/3757] lr: 1.000e-03 eta: 12:20:15 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 5.0526 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3188 loss: 1.3188 2022/06/30 07:42:20 - mmengine - INFO - Epoch(train) [57][3640/3757] lr: 1.000e-03 eta: 12:20:10 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 6.2557 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0118 loss: 1.0118 2022/06/30 07:42:26 - mmengine - INFO - Epoch(train) [57][3660/3757] lr: 1.000e-03 eta: 12:20:04 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 7.0683 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0114 loss: 1.0114 2022/06/30 07:42:31 - mmengine - INFO - Epoch(train) [57][3680/3757] lr: 1.000e-03 eta: 12:19:59 time: 0.246 data_time: 0.024 memory: 6404 grad_norm: 8.4955 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9165 loss: 0.9165 2022/06/30 07:42:36 - mmengine - INFO - Epoch(train) [57][3700/3757] lr: 1.000e-03 eta: 12:19:53 time: 0.262 data_time: 0.013 memory: 6404 grad_norm: 7.2669 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3433 loss: 1.3433 2022/06/30 07:42:42 - mmengine - INFO - Epoch(train) [57][3720/3757] lr: 1.000e-03 eta: 12:19:48 time: 0.247 data_time: 0.020 memory: 6404 grad_norm: 7.0742 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3506 loss: 1.3506 2022/06/30 07:42:47 - mmengine - INFO - Epoch(train) [57][3740/3757] lr: 1.000e-03 eta: 12:19:42 time: 0.257 data_time: 0.015 memory: 6404 grad_norm: 7.7748 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1954 loss: 1.1954 2022/06/30 07:42:51 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 07:42:58 - mmengine - INFO - Epoch(val) [57][20/310] eta: 0:01:21 time: 0.093 data_time: 0.009 memory: 6404 2022/06/30 07:43:04 - mmengine - INFO - Epoch(val) [57][40/310] eta: 0:01:23 time: 0.520 data_time: 0.444 memory: 1479 2022/06/30 07:43:08 - mmengine - INFO - Epoch(val) [57][60/310] eta: 0:00:32 time: 0.103 data_time: 0.011 memory: 1479 2022/06/30 07:43:14 - mmengine - INFO - Epoch(val) [57][80/310] eta: 0:01:13 time: 0.098 data_time: 0.010 memory: 1479 2022/06/30 07:43:20 - mmengine - INFO - Epoch(val) [57][100/310] eta: 0:01:00 time: 1.325 data_time: 1.250 memory: 1479 2022/06/30 07:43:24 - mmengine - INFO - Epoch(val) [57][120/310] eta: 0:00:36 time: 0.080 data_time: 0.005 memory: 1479 2022/06/30 07:43:31 - mmengine - INFO - Epoch(val) [57][140/310] eta: 0:00:52 time: 0.079 data_time: 0.005 memory: 1479 2022/06/30 07:43:37 - mmengine - INFO - Epoch(val) [57][160/310] eta: 0:00:46 time: 2.049 data_time: 1.965 memory: 1479 2022/06/30 07:43:41 - mmengine - INFO - Epoch(val) [57][180/310] eta: 0:00:40 time: 0.080 data_time: 0.005 memory: 1479 2022/06/30 07:43:47 - mmengine - INFO - Epoch(val) [57][200/310] eta: 0:00:33 time: 0.082 data_time: 0.005 memory: 1479 2022/06/30 07:43:52 - mmengine - INFO - Epoch(val) [57][220/310] eta: 0:00:26 time: 1.213 data_time: 1.123 memory: 1479 2022/06/30 07:43:56 - mmengine - INFO - Epoch(val) [57][240/310] eta: 0:00:20 time: 0.091 data_time: 0.006 memory: 1479 2022/06/30 07:44:02 - mmengine - INFO - Epoch(val) [57][260/310] eta: 0:00:16 time: 0.104 data_time: 0.008 memory: 1479 2022/06/30 07:44:08 - mmengine - INFO - Epoch(val) [57][280/310] eta: 0:00:08 time: 1.715 data_time: 1.629 memory: 1479 2022/06/30 07:44:12 - mmengine - INFO - Epoch(val) [57][300/310] eta: 0:00:02 time: 0.089 data_time: 0.008 memory: 1479 2022/06/30 07:44:14 - mmengine - INFO - Epoch(val) [57][310/310] acc/top1: 0.6620 acc/top5: 0.8653 acc/mean1: 0.6619 2022/06/30 07:44:23 - mmengine - INFO - Epoch(train) [58][20/3757] lr: 1.000e-03 eta: 12:19:32 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 6.4094 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2892 loss: 1.2892 2022/06/30 07:44:29 - mmengine - INFO - Epoch(train) [58][40/3757] lr: 1.000e-03 eta: 12:19:27 time: 0.419 data_time: 0.230 memory: 6404 grad_norm: 6.8356 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1340 loss: 1.1340 2022/06/30 07:44:34 - mmengine - INFO - Epoch(train) [58][60/3757] lr: 1.000e-03 eta: 12:19:21 time: 0.277 data_time: 0.010 memory: 6404 grad_norm: 7.3388 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4955 loss: 1.4955 2022/06/30 07:44:40 - mmengine - INFO - Epoch(train) [58][80/3757] lr: 1.000e-03 eta: 12:19:16 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 8.1838 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6739 loss: 1.6739 2022/06/30 07:44:46 - mmengine - INFO - Epoch(train) [58][100/3757] lr: 1.000e-03 eta: 12:19:11 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 6.3910 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.0296 loss: 1.0296 2022/06/30 07:44:51 - mmengine - INFO - Epoch(train) [58][120/3757] lr: 1.000e-03 eta: 12:19:05 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 6.2540 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3355 loss: 1.3355 2022/06/30 07:44:57 - mmengine - INFO - Epoch(train) [58][140/3757] lr: 1.000e-03 eta: 12:19:00 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 6.5194 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4165 loss: 1.4165 2022/06/30 07:45:03 - mmengine - INFO - Epoch(train) [58][160/3757] lr: 1.000e-03 eta: 12:18:54 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 7.1080 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3387 loss: 1.3387 2022/06/30 07:45:08 - mmengine - INFO - Epoch(train) [58][180/3757] lr: 1.000e-03 eta: 12:18:49 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 8.0111 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1387 loss: 1.1387 2022/06/30 07:45:13 - mmengine - INFO - Epoch(train) [58][200/3757] lr: 1.000e-03 eta: 12:18:43 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.4961 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5061 loss: 1.5061 2022/06/30 07:45:19 - mmengine - INFO - Epoch(train) [58][220/3757] lr: 1.000e-03 eta: 12:18:38 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 6.3101 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0435 loss: 1.0435 2022/06/30 07:45:24 - mmengine - INFO - Epoch(train) [58][240/3757] lr: 1.000e-03 eta: 12:18:32 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 6.9327 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3134 loss: 1.3134 2022/06/30 07:45:29 - mmengine - INFO - Epoch(train) [58][260/3757] lr: 1.000e-03 eta: 12:18:26 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 5.3098 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3604 loss: 1.3604 2022/06/30 07:45:35 - mmengine - INFO - Epoch(train) [58][280/3757] lr: 1.000e-03 eta: 12:18:21 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.8512 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2058 loss: 1.2058 2022/06/30 07:45:40 - mmengine - INFO - Epoch(train) [58][300/3757] lr: 1.000e-03 eta: 12:18:15 time: 0.258 data_time: 0.017 memory: 6404 grad_norm: 7.1247 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3601 loss: 1.3601 2022/06/30 07:45:46 - mmengine - INFO - Epoch(train) [58][320/3757] lr: 1.000e-03 eta: 12:18:10 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 7.9587 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2733 loss: 1.2733 2022/06/30 07:45:52 - mmengine - INFO - Epoch(train) [58][340/3757] lr: 1.000e-03 eta: 12:18:05 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 7.3283 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3306 loss: 1.3306 2022/06/30 07:45:58 - mmengine - INFO - Epoch(train) [58][360/3757] lr: 1.000e-03 eta: 12:17:59 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 6.6416 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0022 loss: 1.0022 2022/06/30 07:46:03 - mmengine - INFO - Epoch(train) [58][380/3757] lr: 1.000e-03 eta: 12:17:54 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 7.3301 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0008 loss: 1.0008 2022/06/30 07:46:09 - mmengine - INFO - Epoch(train) [58][400/3757] lr: 1.000e-03 eta: 12:17:48 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 7.0485 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4404 loss: 1.4404 2022/06/30 07:46:14 - mmengine - INFO - Epoch(train) [58][420/3757] lr: 1.000e-03 eta: 12:17:43 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.9649 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1006 loss: 1.1006 2022/06/30 07:46:20 - mmengine - INFO - Epoch(train) [58][440/3757] lr: 1.000e-03 eta: 12:17:38 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 7.7075 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4534 loss: 1.4534 2022/06/30 07:46:25 - mmengine - INFO - Epoch(train) [58][460/3757] lr: 1.000e-03 eta: 12:17:32 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.5790 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2469 loss: 1.2469 2022/06/30 07:46:31 - mmengine - INFO - Epoch(train) [58][480/3757] lr: 1.000e-03 eta: 12:17:27 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 6.3690 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1696 loss: 1.1696 2022/06/30 07:46:36 - mmengine - INFO - Epoch(train) [58][500/3757] lr: 1.000e-03 eta: 12:17:21 time: 0.276 data_time: 0.012 memory: 6404 grad_norm: 5.5656 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0993 loss: 1.0993 2022/06/30 07:46:42 - mmengine - INFO - Epoch(train) [58][520/3757] lr: 1.000e-03 eta: 12:17:16 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 7.5933 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4344 loss: 1.4344 2022/06/30 07:46:48 - mmengine - INFO - Epoch(train) [58][540/3757] lr: 1.000e-03 eta: 12:17:10 time: 0.267 data_time: 0.009 memory: 6404 grad_norm: 7.2409 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3327 loss: 1.3327 2022/06/30 07:46:53 - mmengine - INFO - Epoch(train) [58][560/3757] lr: 1.000e-03 eta: 12:17:05 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.0773 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1906 loss: 1.1906 2022/06/30 07:46:59 - mmengine - INFO - Epoch(train) [58][580/3757] lr: 1.000e-03 eta: 12:17:00 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.5684 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5980 loss: 1.5980 2022/06/30 07:47:04 - mmengine - INFO - Epoch(train) [58][600/3757] lr: 1.000e-03 eta: 12:16:54 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 7.6822 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1358 loss: 1.1358 2022/06/30 07:47:10 - mmengine - INFO - Epoch(train) [58][620/3757] lr: 1.000e-03 eta: 12:16:48 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 6.9102 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1851 loss: 1.1851 2022/06/30 07:47:15 - mmengine - INFO - Epoch(train) [58][640/3757] lr: 1.000e-03 eta: 12:16:43 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 7.5858 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7259 loss: 1.7259 2022/06/30 07:47:20 - mmengine - INFO - Epoch(train) [58][660/3757] lr: 1.000e-03 eta: 12:16:37 time: 0.251 data_time: 0.017 memory: 6404 grad_norm: 7.7163 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5526 loss: 1.5526 2022/06/30 07:47:25 - mmengine - INFO - Epoch(train) [58][680/3757] lr: 1.000e-03 eta: 12:16:31 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 6.5897 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2441 loss: 1.2441 2022/06/30 07:47:31 - mmengine - INFO - Epoch(train) [58][700/3757] lr: 1.000e-03 eta: 12:16:26 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 7.1497 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0516 loss: 1.0516 2022/06/30 07:47:36 - mmengine - INFO - Epoch(train) [58][720/3757] lr: 1.000e-03 eta: 12:16:20 time: 0.261 data_time: 0.014 memory: 6404 grad_norm: 6.5964 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4612 loss: 1.4612 2022/06/30 07:47:41 - mmengine - INFO - Epoch(train) [58][740/3757] lr: 1.000e-03 eta: 12:16:14 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 6.9310 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2688 loss: 1.2688 2022/06/30 07:47:47 - mmengine - INFO - Epoch(train) [58][760/3757] lr: 1.000e-03 eta: 12:16:09 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 6.8799 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1564 loss: 1.1564 2022/06/30 07:47:53 - mmengine - INFO - Epoch(train) [58][780/3757] lr: 1.000e-03 eta: 12:16:04 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 7.8678 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4540 loss: 1.4540 2022/06/30 07:47:58 - mmengine - INFO - Epoch(train) [58][800/3757] lr: 1.000e-03 eta: 12:15:58 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.5631 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3008 loss: 1.3008 2022/06/30 07:48:04 - mmengine - INFO - Epoch(train) [58][820/3757] lr: 1.000e-03 eta: 12:15:53 time: 0.274 data_time: 0.007 memory: 6404 grad_norm: 8.6317 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9783 loss: 0.9783 2022/06/30 07:48:09 - mmengine - INFO - Epoch(train) [58][840/3757] lr: 1.000e-03 eta: 12:15:47 time: 0.251 data_time: 0.016 memory: 6404 grad_norm: 7.9671 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4244 loss: 1.4244 2022/06/30 07:48:12 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 07:48:14 - mmengine - INFO - Epoch(train) [58][860/3757] lr: 1.000e-03 eta: 12:15:41 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 6.8178 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3297 loss: 1.3297 2022/06/30 07:48:20 - mmengine - INFO - Epoch(train) [58][880/3757] lr: 1.000e-03 eta: 12:15:36 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 7.7012 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7467 loss: 1.7467 2022/06/30 07:48:26 - mmengine - INFO - Epoch(train) [58][900/3757] lr: 1.000e-03 eta: 12:15:31 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 7.0107 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2219 loss: 1.2219 2022/06/30 07:48:31 - mmengine - INFO - Epoch(train) [58][920/3757] lr: 1.000e-03 eta: 12:15:25 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.8459 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0620 loss: 1.0620 2022/06/30 07:48:37 - mmengine - INFO - Epoch(train) [58][940/3757] lr: 1.000e-03 eta: 12:15:20 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.2414 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9783 loss: 0.9783 2022/06/30 07:48:42 - mmengine - INFO - Epoch(train) [58][960/3757] lr: 1.000e-03 eta: 12:15:14 time: 0.241 data_time: 0.026 memory: 6404 grad_norm: 6.4425 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4592 loss: 1.4592 2022/06/30 07:48:48 - mmengine - INFO - Epoch(train) [58][980/3757] lr: 1.000e-03 eta: 12:15:09 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 6.4764 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2632 loss: 1.2632 2022/06/30 07:48:54 - mmengine - INFO - Epoch(train) [58][1000/3757] lr: 1.000e-03 eta: 12:15:03 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 6.6016 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2062 loss: 1.2062 2022/06/30 07:48:59 - mmengine - INFO - Epoch(train) [58][1020/3757] lr: 1.000e-03 eta: 12:14:58 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 7.0030 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5984 loss: 1.5984 2022/06/30 07:49:05 - mmengine - INFO - Epoch(train) [58][1040/3757] lr: 1.000e-03 eta: 12:14:53 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.0472 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3628 loss: 1.3628 2022/06/30 07:49:10 - mmengine - INFO - Epoch(train) [58][1060/3757] lr: 1.000e-03 eta: 12:14:47 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.7091 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0742 loss: 1.0742 2022/06/30 07:49:16 - mmengine - INFO - Epoch(train) [58][1080/3757] lr: 1.000e-03 eta: 12:14:41 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.2359 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0677 loss: 1.0677 2022/06/30 07:49:21 - mmengine - INFO - Epoch(train) [58][1100/3757] lr: 1.000e-03 eta: 12:14:36 time: 0.248 data_time: 0.013 memory: 6404 grad_norm: 8.2148 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5356 loss: 1.5356 2022/06/30 07:49:26 - mmengine - INFO - Epoch(train) [58][1120/3757] lr: 1.000e-03 eta: 12:14:30 time: 0.347 data_time: 0.010 memory: 6404 grad_norm: 6.2302 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1235 loss: 1.1235 2022/06/30 07:49:32 - mmengine - INFO - Epoch(train) [58][1140/3757] lr: 1.000e-03 eta: 12:14:25 time: 0.255 data_time: 0.015 memory: 6404 grad_norm: 7.4278 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9447 loss: 0.9447 2022/06/30 07:49:37 - mmengine - INFO - Epoch(train) [58][1160/3757] lr: 1.000e-03 eta: 12:14:19 time: 0.260 data_time: 0.014 memory: 6404 grad_norm: 7.0083 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2707 loss: 1.2707 2022/06/30 07:49:43 - mmengine - INFO - Epoch(train) [58][1180/3757] lr: 1.000e-03 eta: 12:14:14 time: 0.274 data_time: 0.007 memory: 6404 grad_norm: 8.2348 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1934 loss: 1.1934 2022/06/30 07:49:48 - mmengine - INFO - Epoch(train) [58][1200/3757] lr: 1.000e-03 eta: 12:14:08 time: 0.262 data_time: 0.023 memory: 6404 grad_norm: 7.5377 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3747 loss: 1.3747 2022/06/30 07:49:54 - mmengine - INFO - Epoch(train) [58][1220/3757] lr: 1.000e-03 eta: 12:14:03 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 8.7366 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3981 loss: 1.3981 2022/06/30 07:49:59 - mmengine - INFO - Epoch(train) [58][1240/3757] lr: 1.000e-03 eta: 12:13:57 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.4493 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2066 loss: 1.2066 2022/06/30 07:50:04 - mmengine - INFO - Epoch(train) [58][1260/3757] lr: 1.000e-03 eta: 12:13:51 time: 0.259 data_time: 0.061 memory: 6404 grad_norm: 6.8979 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0048 loss: 1.0048 2022/06/30 07:50:10 - mmengine - INFO - Epoch(train) [58][1280/3757] lr: 1.000e-03 eta: 12:13:46 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.6942 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1321 loss: 1.1321 2022/06/30 07:50:15 - mmengine - INFO - Epoch(train) [58][1300/3757] lr: 1.000e-03 eta: 12:13:40 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.0069 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1903 loss: 1.1903 2022/06/30 07:50:21 - mmengine - INFO - Epoch(train) [58][1320/3757] lr: 1.000e-03 eta: 12:13:35 time: 0.238 data_time: 0.039 memory: 6404 grad_norm: 5.9539 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0085 loss: 1.0085 2022/06/30 07:50:28 - mmengine - INFO - Epoch(train) [58][1340/3757] lr: 1.000e-03 eta: 12:13:30 time: 0.268 data_time: 0.009 memory: 6404 grad_norm: 7.9675 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3243 loss: 1.3243 2022/06/30 07:50:33 - mmengine - INFO - Epoch(train) [58][1360/3757] lr: 1.000e-03 eta: 12:13:24 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 6.7689 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1001 loss: 1.1001 2022/06/30 07:50:38 - mmengine - INFO - Epoch(train) [58][1380/3757] lr: 1.000e-03 eta: 12:13:19 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 6.9503 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4652 loss: 1.4652 2022/06/30 07:50:43 - mmengine - INFO - Epoch(train) [58][1400/3757] lr: 1.000e-03 eta: 12:13:13 time: 0.264 data_time: 0.006 memory: 6404 grad_norm: 6.5585 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1604 loss: 1.1604 2022/06/30 07:50:49 - mmengine - INFO - Epoch(train) [58][1420/3757] lr: 1.000e-03 eta: 12:13:08 time: 0.261 data_time: 0.021 memory: 6404 grad_norm: 7.5122 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1296 loss: 1.1296 2022/06/30 07:50:54 - mmengine - INFO - Epoch(train) [58][1440/3757] lr: 1.000e-03 eta: 12:13:02 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 7.8034 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4452 loss: 1.4452 2022/06/30 07:50:59 - mmengine - INFO - Epoch(train) [58][1460/3757] lr: 1.000e-03 eta: 12:12:56 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 6.8670 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3487 loss: 1.3487 2022/06/30 07:51:04 - mmengine - INFO - Epoch(train) [58][1480/3757] lr: 1.000e-03 eta: 12:12:50 time: 0.257 data_time: 0.018 memory: 6404 grad_norm: 6.0850 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1744 loss: 1.1744 2022/06/30 07:51:10 - mmengine - INFO - Epoch(train) [58][1500/3757] lr: 1.000e-03 eta: 12:12:45 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 7.6850 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1483 loss: 1.1483 2022/06/30 07:51:15 - mmengine - INFO - Epoch(train) [58][1520/3757] lr: 1.000e-03 eta: 12:12:39 time: 0.256 data_time: 0.018 memory: 6404 grad_norm: 6.3281 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4519 loss: 1.4519 2022/06/30 07:51:20 - mmengine - INFO - Epoch(train) [58][1540/3757] lr: 1.000e-03 eta: 12:12:34 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 7.3337 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9854 loss: 0.9854 2022/06/30 07:51:26 - mmengine - INFO - Epoch(train) [58][1560/3757] lr: 1.000e-03 eta: 12:12:28 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 5.2905 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3048 loss: 1.3048 2022/06/30 07:51:32 - mmengine - INFO - Epoch(train) [58][1580/3757] lr: 1.000e-03 eta: 12:12:23 time: 0.270 data_time: 0.021 memory: 6404 grad_norm: 7.7323 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1466 loss: 1.1466 2022/06/30 07:51:37 - mmengine - INFO - Epoch(train) [58][1600/3757] lr: 1.000e-03 eta: 12:12:17 time: 0.242 data_time: 0.015 memory: 6404 grad_norm: 7.9353 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0112 loss: 1.0112 2022/06/30 07:51:43 - mmengine - INFO - Epoch(train) [58][1620/3757] lr: 1.000e-03 eta: 12:12:12 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 6.2327 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2414 loss: 1.2414 2022/06/30 07:51:49 - mmengine - INFO - Epoch(train) [58][1640/3757] lr: 1.000e-03 eta: 12:12:07 time: 0.249 data_time: 0.021 memory: 6404 grad_norm: 7.2926 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5498 loss: 1.5498 2022/06/30 07:51:54 - mmengine - INFO - Epoch(train) [58][1660/3757] lr: 1.000e-03 eta: 12:12:01 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.3447 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0195 loss: 1.0195 2022/06/30 07:51:59 - mmengine - INFO - Epoch(train) [58][1680/3757] lr: 1.000e-03 eta: 12:11:56 time: 0.243 data_time: 0.006 memory: 6404 grad_norm: 7.6537 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0835 loss: 1.0835 2022/06/30 07:52:05 - mmengine - INFO - Epoch(train) [58][1700/3757] lr: 1.000e-03 eta: 12:11:50 time: 0.261 data_time: 0.018 memory: 6404 grad_norm: 7.5858 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9784 loss: 0.9784 2022/06/30 07:52:10 - mmengine - INFO - Epoch(train) [58][1720/3757] lr: 1.000e-03 eta: 12:11:44 time: 0.253 data_time: 0.055 memory: 6404 grad_norm: 6.6290 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0847 loss: 1.0847 2022/06/30 07:52:16 - mmengine - INFO - Epoch(train) [58][1740/3757] lr: 1.000e-03 eta: 12:11:39 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.9435 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0552 loss: 1.0552 2022/06/30 07:52:21 - mmengine - INFO - Epoch(train) [58][1760/3757] lr: 1.000e-03 eta: 12:11:33 time: 0.266 data_time: 0.019 memory: 6404 grad_norm: 7.0920 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4363 loss: 1.4363 2022/06/30 07:52:26 - mmengine - INFO - Epoch(train) [58][1780/3757] lr: 1.000e-03 eta: 12:11:27 time: 0.245 data_time: 0.013 memory: 6404 grad_norm: 7.9619 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3411 loss: 1.3411 2022/06/30 07:52:32 - mmengine - INFO - Epoch(train) [58][1800/3757] lr: 1.000e-03 eta: 12:11:22 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 6.9233 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5226 loss: 1.5226 2022/06/30 07:52:37 - mmengine - INFO - Epoch(train) [58][1820/3757] lr: 1.000e-03 eta: 12:11:16 time: 0.247 data_time: 0.017 memory: 6404 grad_norm: 7.3792 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2369 loss: 1.2369 2022/06/30 07:52:42 - mmengine - INFO - Epoch(train) [58][1840/3757] lr: 1.000e-03 eta: 12:11:11 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 7.3423 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2678 loss: 1.2678 2022/06/30 07:52:45 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 07:52:48 - mmengine - INFO - Epoch(train) [58][1860/3757] lr: 1.000e-03 eta: 12:11:05 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.0419 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5910 loss: 1.5910 2022/06/30 07:52:53 - mmengine - INFO - Epoch(train) [58][1880/3757] lr: 1.000e-03 eta: 12:11:00 time: 0.257 data_time: 0.019 memory: 6404 grad_norm: 6.4037 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2717 loss: 1.2717 2022/06/30 07:52:59 - mmengine - INFO - Epoch(train) [58][1900/3757] lr: 1.000e-03 eta: 12:10:54 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.0471 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2080 loss: 1.2080 2022/06/30 07:53:05 - mmengine - INFO - Epoch(train) [58][1920/3757] lr: 1.000e-03 eta: 12:10:49 time: 0.260 data_time: 0.009 memory: 6404 grad_norm: 7.2033 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4651 loss: 1.4651 2022/06/30 07:53:10 - mmengine - INFO - Epoch(train) [58][1940/3757] lr: 1.000e-03 eta: 12:10:44 time: 0.279 data_time: 0.007 memory: 6404 grad_norm: 6.4479 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1974 loss: 1.1974 2022/06/30 07:53:16 - mmengine - INFO - Epoch(train) [58][1960/3757] lr: 1.000e-03 eta: 12:10:38 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 7.6876 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3440 loss: 1.3440 2022/06/30 07:53:21 - mmengine - INFO - Epoch(train) [58][1980/3757] lr: 1.000e-03 eta: 12:10:32 time: 0.260 data_time: 0.012 memory: 6404 grad_norm: 5.7630 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8966 loss: 0.8966 2022/06/30 07:53:27 - mmengine - INFO - Epoch(train) [58][2000/3757] lr: 1.000e-03 eta: 12:10:27 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.0099 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9629 loss: 0.9629 2022/06/30 07:53:32 - mmengine - INFO - Epoch(train) [58][2020/3757] lr: 1.000e-03 eta: 12:10:21 time: 0.433 data_time: 0.007 memory: 6404 grad_norm: 8.5129 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5278 loss: 1.5278 2022/06/30 07:53:38 - mmengine - INFO - Epoch(train) [58][2040/3757] lr: 1.000e-03 eta: 12:10:16 time: 0.250 data_time: 0.019 memory: 6404 grad_norm: 7.3881 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3108 loss: 1.3108 2022/06/30 07:53:43 - mmengine - INFO - Epoch(train) [58][2060/3757] lr: 1.000e-03 eta: 12:10:11 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.1307 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8960 loss: 0.8960 2022/06/30 07:53:49 - mmengine - INFO - Epoch(train) [58][2080/3757] lr: 1.000e-03 eta: 12:10:05 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.5204 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4574 loss: 1.4574 2022/06/30 07:53:54 - mmengine - INFO - Epoch(train) [58][2100/3757] lr: 1.000e-03 eta: 12:09:59 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 7.7321 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2992 loss: 1.2992 2022/06/30 07:53:59 - mmengine - INFO - Epoch(train) [58][2120/3757] lr: 1.000e-03 eta: 12:09:54 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.4627 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2617 loss: 1.2617 2022/06/30 07:54:04 - mmengine - INFO - Epoch(train) [58][2140/3757] lr: 1.000e-03 eta: 12:09:48 time: 0.295 data_time: 0.007 memory: 6404 grad_norm: 7.9434 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6640 loss: 1.6640 2022/06/30 07:54:10 - mmengine - INFO - Epoch(train) [58][2160/3757] lr: 1.000e-03 eta: 12:09:42 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 8.1624 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4879 loss: 1.4879 2022/06/30 07:54:15 - mmengine - INFO - Epoch(train) [58][2180/3757] lr: 1.000e-03 eta: 12:09:37 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.4559 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9322 loss: 0.9322 2022/06/30 07:54:21 - mmengine - INFO - Epoch(train) [58][2200/3757] lr: 1.000e-03 eta: 12:09:32 time: 0.490 data_time: 0.013 memory: 6404 grad_norm: 7.6165 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2329 loss: 1.2329 2022/06/30 07:54:27 - mmengine - INFO - Epoch(train) [58][2220/3757] lr: 1.000e-03 eta: 12:09:26 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 8.2777 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0413 loss: 1.0413 2022/06/30 07:54:33 - mmengine - INFO - Epoch(train) [58][2240/3757] lr: 1.000e-03 eta: 12:09:21 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 7.8838 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4665 loss: 1.4665 2022/06/30 07:54:38 - mmengine - INFO - Epoch(train) [58][2260/3757] lr: 1.000e-03 eta: 12:09:15 time: 0.266 data_time: 0.010 memory: 6404 grad_norm: 7.4941 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2475 loss: 1.2475 2022/06/30 07:54:43 - mmengine - INFO - Epoch(train) [58][2280/3757] lr: 1.000e-03 eta: 12:09:10 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 7.0715 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2272 loss: 1.2272 2022/06/30 07:54:49 - mmengine - INFO - Epoch(train) [58][2300/3757] lr: 1.000e-03 eta: 12:09:04 time: 0.274 data_time: 0.074 memory: 6404 grad_norm: 6.6140 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1458 loss: 1.1458 2022/06/30 07:54:54 - mmengine - INFO - Epoch(train) [58][2320/3757] lr: 1.000e-03 eta: 12:08:58 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 6.2590 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4052 loss: 1.4052 2022/06/30 07:54:59 - mmengine - INFO - Epoch(train) [58][2340/3757] lr: 1.000e-03 eta: 12:08:52 time: 0.253 data_time: 0.022 memory: 6404 grad_norm: 7.0745 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9704 loss: 0.9704 2022/06/30 07:55:04 - mmengine - INFO - Epoch(train) [58][2360/3757] lr: 1.000e-03 eta: 12:08:47 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.0141 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5305 loss: 1.5305 2022/06/30 07:55:10 - mmengine - INFO - Epoch(train) [58][2380/3757] lr: 1.000e-03 eta: 12:08:42 time: 0.547 data_time: 0.007 memory: 6404 grad_norm: 7.9751 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2037 loss: 1.2037 2022/06/30 07:55:15 - mmengine - INFO - Epoch(train) [58][2400/3757] lr: 1.000e-03 eta: 12:08:36 time: 0.247 data_time: 0.018 memory: 6404 grad_norm: 6.3524 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3726 loss: 1.3726 2022/06/30 07:55:21 - mmengine - INFO - Epoch(train) [58][2420/3757] lr: 1.000e-03 eta: 12:08:31 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 5.7817 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1043 loss: 1.1043 2022/06/30 07:55:26 - mmengine - INFO - Epoch(train) [58][2440/3757] lr: 1.000e-03 eta: 12:08:25 time: 0.330 data_time: 0.007 memory: 6404 grad_norm: 6.7524 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0887 loss: 1.0887 2022/06/30 07:55:32 - mmengine - INFO - Epoch(train) [58][2460/3757] lr: 1.000e-03 eta: 12:08:19 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 7.1462 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0885 loss: 1.0885 2022/06/30 07:55:37 - mmengine - INFO - Epoch(train) [58][2480/3757] lr: 1.000e-03 eta: 12:08:14 time: 0.276 data_time: 0.006 memory: 6404 grad_norm: 6.6048 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1065 loss: 1.1065 2022/06/30 07:55:43 - mmengine - INFO - Epoch(train) [58][2500/3757] lr: 1.000e-03 eta: 12:08:08 time: 0.431 data_time: 0.010 memory: 6404 grad_norm: 7.2793 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3038 loss: 1.3038 2022/06/30 07:55:48 - mmengine - INFO - Epoch(train) [58][2520/3757] lr: 1.000e-03 eta: 12:08:03 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 7.7888 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3247 loss: 1.3247 2022/06/30 07:55:53 - mmengine - INFO - Epoch(train) [58][2540/3757] lr: 1.000e-03 eta: 12:07:57 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 7.9170 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3326 loss: 1.3326 2022/06/30 07:55:59 - mmengine - INFO - Epoch(train) [58][2560/3757] lr: 1.000e-03 eta: 12:07:52 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.2902 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4714 loss: 1.4714 2022/06/30 07:56:05 - mmengine - INFO - Epoch(train) [58][2580/3757] lr: 1.000e-03 eta: 12:07:46 time: 0.274 data_time: 0.008 memory: 6404 grad_norm: 7.0783 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1500 loss: 1.1500 2022/06/30 07:56:10 - mmengine - INFO - Epoch(train) [58][2600/3757] lr: 1.000e-03 eta: 12:07:41 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 7.4980 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3124 loss: 1.3124 2022/06/30 07:56:16 - mmengine - INFO - Epoch(train) [58][2620/3757] lr: 1.000e-03 eta: 12:07:35 time: 0.259 data_time: 0.006 memory: 6404 grad_norm: 6.7543 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4190 loss: 1.4190 2022/06/30 07:56:21 - mmengine - INFO - Epoch(train) [58][2640/3757] lr: 1.000e-03 eta: 12:07:30 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 7.1977 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5622 loss: 1.5622 2022/06/30 07:56:27 - mmengine - INFO - Epoch(train) [58][2660/3757] lr: 1.000e-03 eta: 12:07:24 time: 0.266 data_time: 0.010 memory: 6404 grad_norm: 5.7594 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5555 loss: 1.5555 2022/06/30 07:56:32 - mmengine - INFO - Epoch(train) [58][2680/3757] lr: 1.000e-03 eta: 12:07:18 time: 0.251 data_time: 0.017 memory: 6404 grad_norm: 6.6552 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0378 loss: 1.0378 2022/06/30 07:56:37 - mmengine - INFO - Epoch(train) [58][2700/3757] lr: 1.000e-03 eta: 12:07:13 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 7.0603 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2229 loss: 1.2229 2022/06/30 07:56:42 - mmengine - INFO - Epoch(train) [58][2720/3757] lr: 1.000e-03 eta: 12:07:07 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.6091 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6383 loss: 1.6383 2022/06/30 07:56:48 - mmengine - INFO - Epoch(train) [58][2740/3757] lr: 1.000e-03 eta: 12:07:02 time: 0.259 data_time: 0.015 memory: 6404 grad_norm: 6.8792 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4387 loss: 1.4387 2022/06/30 07:56:53 - mmengine - INFO - Epoch(train) [58][2760/3757] lr: 1.000e-03 eta: 12:06:56 time: 0.248 data_time: 0.023 memory: 6404 grad_norm: 8.0587 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1130 loss: 1.1130 2022/06/30 07:56:59 - mmengine - INFO - Epoch(train) [58][2780/3757] lr: 1.000e-03 eta: 12:06:51 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 5.1774 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2653 loss: 1.2653 2022/06/30 07:57:04 - mmengine - INFO - Epoch(train) [58][2800/3757] lr: 1.000e-03 eta: 12:06:45 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 6.0036 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0802 loss: 1.0802 2022/06/30 07:57:10 - mmengine - INFO - Epoch(train) [58][2820/3757] lr: 1.000e-03 eta: 12:06:40 time: 0.276 data_time: 0.079 memory: 6404 grad_norm: 7.1697 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0559 loss: 1.0559 2022/06/30 07:57:15 - mmengine - INFO - Epoch(train) [58][2840/3757] lr: 1.000e-03 eta: 12:06:34 time: 0.240 data_time: 0.014 memory: 6404 grad_norm: 7.0607 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0968 loss: 1.0968 2022/06/30 07:57:18 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 07:57:20 - mmengine - INFO - Epoch(train) [58][2860/3757] lr: 1.000e-03 eta: 12:06:28 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 7.2344 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.6778 loss: 1.6778 2022/06/30 07:57:26 - mmengine - INFO - Epoch(train) [58][2880/3757] lr: 1.000e-03 eta: 12:06:23 time: 0.264 data_time: 0.016 memory: 6404 grad_norm: 7.0872 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9439 loss: 0.9439 2022/06/30 07:57:32 - mmengine - INFO - Epoch(train) [58][2900/3757] lr: 1.000e-03 eta: 12:06:18 time: 0.292 data_time: 0.010 memory: 6404 grad_norm: 6.8250 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2020 loss: 1.2020 2022/06/30 07:57:37 - mmengine - INFO - Epoch(train) [58][2920/3757] lr: 1.000e-03 eta: 12:06:12 time: 0.281 data_time: 0.007 memory: 6404 grad_norm: 6.1985 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2070 loss: 1.2070 2022/06/30 07:57:42 - mmengine - INFO - Epoch(train) [58][2940/3757] lr: 1.000e-03 eta: 12:06:06 time: 0.256 data_time: 0.064 memory: 6404 grad_norm: 7.3834 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2343 loss: 1.2343 2022/06/30 07:57:48 - mmengine - INFO - Epoch(train) [58][2960/3757] lr: 1.000e-03 eta: 12:06:01 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 7.1445 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5504 loss: 1.5504 2022/06/30 07:57:54 - mmengine - INFO - Epoch(train) [58][2980/3757] lr: 1.000e-03 eta: 12:05:56 time: 0.287 data_time: 0.006 memory: 6404 grad_norm: 7.2836 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2444 loss: 1.2444 2022/06/30 07:57:59 - mmengine - INFO - Epoch(train) [58][3000/3757] lr: 1.000e-03 eta: 12:05:50 time: 0.250 data_time: 0.017 memory: 6404 grad_norm: 8.1936 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8162 loss: 0.8162 2022/06/30 07:58:04 - mmengine - INFO - Epoch(train) [58][3020/3757] lr: 1.000e-03 eta: 12:05:44 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 6.0924 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6454 loss: 1.6454 2022/06/30 07:58:09 - mmengine - INFO - Epoch(train) [58][3040/3757] lr: 1.000e-03 eta: 12:05:39 time: 0.422 data_time: 0.007 memory: 6404 grad_norm: 6.8010 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1285 loss: 1.1285 2022/06/30 07:58:15 - mmengine - INFO - Epoch(train) [58][3060/3757] lr: 1.000e-03 eta: 12:05:33 time: 0.258 data_time: 0.027 memory: 6404 grad_norm: 6.4665 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1232 loss: 1.1232 2022/06/30 07:58:21 - mmengine - INFO - Epoch(train) [58][3080/3757] lr: 1.000e-03 eta: 12:05:28 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 7.2413 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1276 loss: 1.1276 2022/06/30 07:58:26 - mmengine - INFO - Epoch(train) [58][3100/3757] lr: 1.000e-03 eta: 12:05:22 time: 0.487 data_time: 0.008 memory: 6404 grad_norm: 7.0766 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3446 loss: 1.3446 2022/06/30 07:58:32 - mmengine - INFO - Epoch(train) [58][3120/3757] lr: 1.000e-03 eta: 12:05:17 time: 0.250 data_time: 0.021 memory: 6404 grad_norm: 6.2842 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1646 loss: 1.1646 2022/06/30 07:58:37 - mmengine - INFO - Epoch(train) [58][3140/3757] lr: 1.000e-03 eta: 12:05:11 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 8.1148 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4127 loss: 1.4127 2022/06/30 07:58:43 - mmengine - INFO - Epoch(train) [58][3160/3757] lr: 1.000e-03 eta: 12:05:06 time: 0.307 data_time: 0.010 memory: 6404 grad_norm: 6.9476 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0676 loss: 1.0676 2022/06/30 07:58:48 - mmengine - INFO - Epoch(train) [58][3180/3757] lr: 1.000e-03 eta: 12:05:00 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 6.8462 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0121 loss: 1.0121 2022/06/30 07:58:54 - mmengine - INFO - Epoch(train) [58][3200/3757] lr: 1.000e-03 eta: 12:04:55 time: 0.282 data_time: 0.010 memory: 6404 grad_norm: 6.9085 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2643 loss: 1.2643 2022/06/30 07:58:59 - mmengine - INFO - Epoch(train) [58][3220/3757] lr: 1.000e-03 eta: 12:04:49 time: 0.284 data_time: 0.007 memory: 6404 grad_norm: 6.2416 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0083 loss: 1.0083 2022/06/30 07:59:04 - mmengine - INFO - Epoch(train) [58][3240/3757] lr: 1.000e-03 eta: 12:04:43 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 8.2671 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3628 loss: 1.3628 2022/06/30 07:59:11 - mmengine - INFO - Epoch(train) [58][3260/3757] lr: 1.000e-03 eta: 12:04:39 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.3012 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4823 loss: 1.4823 2022/06/30 07:59:16 - mmengine - INFO - Epoch(train) [58][3280/3757] lr: 1.000e-03 eta: 12:04:33 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 6.4169 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1253 loss: 1.1253 2022/06/30 07:59:21 - mmengine - INFO - Epoch(train) [58][3300/3757] lr: 1.000e-03 eta: 12:04:27 time: 0.252 data_time: 0.018 memory: 6404 grad_norm: 7.5836 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6230 loss: 1.6230 2022/06/30 07:59:26 - mmengine - INFO - Epoch(train) [58][3320/3757] lr: 1.000e-03 eta: 12:04:21 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 6.4837 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4533 loss: 1.4533 2022/06/30 07:59:32 - mmengine - INFO - Epoch(train) [58][3340/3757] lr: 1.000e-03 eta: 12:04:16 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 6.8372 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2989 loss: 1.2989 2022/06/30 07:59:37 - mmengine - INFO - Epoch(train) [58][3360/3757] lr: 1.000e-03 eta: 12:04:10 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 7.5220 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1495 loss: 1.1495 2022/06/30 07:59:42 - mmengine - INFO - Epoch(train) [58][3380/3757] lr: 1.000e-03 eta: 12:04:04 time: 0.253 data_time: 0.023 memory: 6404 grad_norm: 6.7931 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2146 loss: 1.2146 2022/06/30 07:59:47 - mmengine - INFO - Epoch(train) [58][3400/3757] lr: 1.000e-03 eta: 12:03:58 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 7.2785 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6076 loss: 1.6076 2022/06/30 07:59:52 - mmengine - INFO - Epoch(train) [58][3420/3757] lr: 1.000e-03 eta: 12:03:53 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 6.3065 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5029 loss: 1.5029 2022/06/30 07:59:58 - mmengine - INFO - Epoch(train) [58][3440/3757] lr: 1.000e-03 eta: 12:03:47 time: 0.251 data_time: 0.017 memory: 6404 grad_norm: 6.6257 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1060 loss: 1.1060 2022/06/30 08:00:03 - mmengine - INFO - Epoch(train) [58][3460/3757] lr: 1.000e-03 eta: 12:03:42 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 6.1669 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1892 loss: 1.1892 2022/06/30 08:00:09 - mmengine - INFO - Epoch(train) [58][3480/3757] lr: 1.000e-03 eta: 12:03:37 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.2513 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9149 loss: 0.9149 2022/06/30 08:00:14 - mmengine - INFO - Epoch(train) [58][3500/3757] lr: 1.000e-03 eta: 12:03:31 time: 0.261 data_time: 0.015 memory: 6404 grad_norm: 8.0475 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4813 loss: 1.4813 2022/06/30 08:00:20 - mmengine - INFO - Epoch(train) [58][3520/3757] lr: 1.000e-03 eta: 12:03:25 time: 0.370 data_time: 0.007 memory: 6404 grad_norm: 6.7639 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9619 loss: 0.9619 2022/06/30 08:00:25 - mmengine - INFO - Epoch(train) [58][3540/3757] lr: 1.000e-03 eta: 12:03:20 time: 0.340 data_time: 0.008 memory: 6404 grad_norm: 8.7953 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3720 loss: 1.3720 2022/06/30 08:00:31 - mmengine - INFO - Epoch(train) [58][3560/3757] lr: 1.000e-03 eta: 12:03:14 time: 0.273 data_time: 0.011 memory: 6404 grad_norm: 7.8891 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5109 loss: 1.5109 2022/06/30 08:00:37 - mmengine - INFO - Epoch(train) [58][3580/3757] lr: 1.000e-03 eta: 12:03:09 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.8349 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4134 loss: 1.4134 2022/06/30 08:00:42 - mmengine - INFO - Epoch(train) [58][3600/3757] lr: 1.000e-03 eta: 12:03:03 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 6.4120 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1707 loss: 1.1707 2022/06/30 08:00:48 - mmengine - INFO - Epoch(train) [58][3620/3757] lr: 1.000e-03 eta: 12:02:58 time: 0.255 data_time: 0.016 memory: 6404 grad_norm: 8.3758 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6657 loss: 1.6657 2022/06/30 08:00:53 - mmengine - INFO - Epoch(train) [58][3640/3757] lr: 1.000e-03 eta: 12:02:53 time: 0.264 data_time: 0.011 memory: 6404 grad_norm: 7.5918 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5651 loss: 1.5651 2022/06/30 08:00:59 - mmengine - INFO - Epoch(train) [58][3660/3757] lr: 1.000e-03 eta: 12:02:47 time: 0.273 data_time: 0.082 memory: 6404 grad_norm: 8.1110 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0808 loss: 1.0808 2022/06/30 08:01:04 - mmengine - INFO - Epoch(train) [58][3680/3757] lr: 1.000e-03 eta: 12:02:42 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 5.7060 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0862 loss: 1.0862 2022/06/30 08:01:10 - mmengine - INFO - Epoch(train) [58][3700/3757] lr: 1.000e-03 eta: 12:02:36 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 7.7219 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1639 loss: 1.1639 2022/06/30 08:01:15 - mmengine - INFO - Epoch(train) [58][3720/3757] lr: 1.000e-03 eta: 12:02:31 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 6.6124 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0605 loss: 1.0605 2022/06/30 08:01:20 - mmengine - INFO - Epoch(train) [58][3740/3757] lr: 1.000e-03 eta: 12:02:25 time: 0.280 data_time: 0.026 memory: 6404 grad_norm: 8.7647 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2059 loss: 1.2059 2022/06/30 08:01:24 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 08:01:32 - mmengine - INFO - Epoch(val) [58][20/310] eta: 0:01:25 time: 0.100 data_time: 0.015 memory: 6404 2022/06/30 08:01:38 - mmengine - INFO - Epoch(val) [58][40/310] eta: 0:01:20 time: 0.083 data_time: 0.007 memory: 1479 2022/06/30 08:01:42 - mmengine - INFO - Epoch(val) [58][60/310] eta: 0:00:21 time: 0.082 data_time: 0.007 memory: 1479 2022/06/30 08:01:48 - mmengine - INFO - Epoch(val) [58][80/310] eta: 0:01:24 time: 0.090 data_time: 0.010 memory: 1479 2022/06/30 08:01:54 - mmengine - INFO - Epoch(val) [58][100/310] eta: 0:01:01 time: 0.534 data_time: 0.462 memory: 1479 2022/06/30 08:01:57 - mmengine - INFO - Epoch(val) [58][120/310] eta: 0:00:15 time: 0.081 data_time: 0.005 memory: 1479 2022/06/30 08:02:04 - mmengine - INFO - Epoch(val) [58][140/310] eta: 0:00:53 time: 0.082 data_time: 0.006 memory: 1479 2022/06/30 08:02:10 - mmengine - INFO - Epoch(val) [58][160/310] eta: 0:00:48 time: 1.466 data_time: 1.392 memory: 1479 2022/06/30 08:02:14 - mmengine - INFO - Epoch(val) [58][180/310] eta: 0:00:34 time: 0.095 data_time: 0.006 memory: 1479 2022/06/30 08:02:20 - mmengine - INFO - Epoch(val) [58][200/310] eta: 0:00:38 time: 0.090 data_time: 0.005 memory: 1479 2022/06/30 08:02:26 - mmengine - INFO - Epoch(val) [58][220/310] eta: 0:00:29 time: 1.231 data_time: 1.145 memory: 1479 2022/06/30 08:02:30 - mmengine - INFO - Epoch(val) [58][240/310] eta: 0:00:20 time: 0.082 data_time: 0.005 memory: 1479 2022/06/30 08:02:36 - mmengine - INFO - Epoch(val) [58][260/310] eta: 0:00:15 time: 0.079 data_time: 0.006 memory: 1479 2022/06/30 08:02:42 - mmengine - INFO - Epoch(val) [58][280/310] eta: 0:00:08 time: 1.685 data_time: 1.601 memory: 1479 2022/06/30 08:02:45 - mmengine - INFO - Epoch(val) [58][300/310] eta: 0:00:02 time: 0.075 data_time: 0.005 memory: 1479 2022/06/30 08:02:48 - mmengine - INFO - Epoch(val) [58][310/310] acc/top1: 0.6643 acc/top5: 0.8670 acc/mean1: 0.6643 2022/06/30 08:02:57 - mmengine - INFO - Epoch(train) [59][20/3757] lr: 1.000e-03 eta: 12:02:15 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.3661 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2271 loss: 1.2271 2022/06/30 08:03:03 - mmengine - INFO - Epoch(train) [59][40/3757] lr: 1.000e-03 eta: 12:02:10 time: 0.239 data_time: 0.008 memory: 6404 grad_norm: 8.2590 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9361 loss: 0.9361 2022/06/30 08:03:09 - mmengine - INFO - Epoch(train) [59][60/3757] lr: 1.000e-03 eta: 12:02:05 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 6.3195 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0407 loss: 1.0407 2022/06/30 08:03:14 - mmengine - INFO - Epoch(train) [59][80/3757] lr: 1.000e-03 eta: 12:01:59 time: 0.252 data_time: 0.022 memory: 6404 grad_norm: 7.8682 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3407 loss: 1.3407 2022/06/30 08:03:18 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 08:03:20 - mmengine - INFO - Epoch(train) [59][100/3757] lr: 1.000e-03 eta: 12:01:54 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.5878 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3219 loss: 1.3219 2022/06/30 08:03:26 - mmengine - INFO - Epoch(train) [59][120/3757] lr: 1.000e-03 eta: 12:01:49 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 7.2201 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3573 loss: 1.3573 2022/06/30 08:03:31 - mmengine - INFO - Epoch(train) [59][140/3757] lr: 1.000e-03 eta: 12:01:43 time: 0.245 data_time: 0.009 memory: 6404 grad_norm: 7.2988 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3122 loss: 1.3122 2022/06/30 08:03:36 - mmengine - INFO - Epoch(train) [59][160/3757] lr: 1.000e-03 eta: 12:01:37 time: 0.244 data_time: 0.036 memory: 6404 grad_norm: 5.7494 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1893 loss: 1.1893 2022/06/30 08:03:42 - mmengine - INFO - Epoch(train) [59][180/3757] lr: 1.000e-03 eta: 12:01:32 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 6.7780 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2877 loss: 1.2877 2022/06/30 08:03:47 - mmengine - INFO - Epoch(train) [59][200/3757] lr: 1.000e-03 eta: 12:01:26 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 7.3263 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1229 loss: 1.1229 2022/06/30 08:03:53 - mmengine - INFO - Epoch(train) [59][220/3757] lr: 1.000e-03 eta: 12:01:21 time: 0.277 data_time: 0.086 memory: 6404 grad_norm: 7.2643 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0797 loss: 1.0797 2022/06/30 08:03:58 - mmengine - INFO - Epoch(train) [59][240/3757] lr: 1.000e-03 eta: 12:01:15 time: 0.264 data_time: 0.017 memory: 6404 grad_norm: 6.5948 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4483 loss: 1.4483 2022/06/30 08:04:03 - mmengine - INFO - Epoch(train) [59][260/3757] lr: 1.000e-03 eta: 12:01:09 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.6993 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1905 loss: 1.1905 2022/06/30 08:04:09 - mmengine - INFO - Epoch(train) [59][280/3757] lr: 1.000e-03 eta: 12:01:04 time: 0.250 data_time: 0.018 memory: 6404 grad_norm: 7.7121 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0833 loss: 1.0833 2022/06/30 08:04:14 - mmengine - INFO - Epoch(train) [59][300/3757] lr: 1.000e-03 eta: 12:00:58 time: 0.253 data_time: 0.016 memory: 6404 grad_norm: 7.5077 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2279 loss: 1.2279 2022/06/30 08:04:20 - mmengine - INFO - Epoch(train) [59][320/3757] lr: 1.000e-03 eta: 12:00:53 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 6.1635 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1581 loss: 1.1581 2022/06/30 08:04:26 - mmengine - INFO - Epoch(train) [59][340/3757] lr: 1.000e-03 eta: 12:00:48 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 7.3777 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1476 loss: 1.1476 2022/06/30 08:04:31 - mmengine - INFO - Epoch(train) [59][360/3757] lr: 1.000e-03 eta: 12:00:42 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 7.4867 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3312 loss: 1.3312 2022/06/30 08:04:37 - mmengine - INFO - Epoch(train) [59][380/3757] lr: 1.000e-03 eta: 12:00:37 time: 0.299 data_time: 0.018 memory: 6404 grad_norm: 7.7935 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7798 loss: 0.7798 2022/06/30 08:04:42 - mmengine - INFO - Epoch(train) [59][400/3757] lr: 1.000e-03 eta: 12:00:31 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 8.0582 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0484 loss: 1.0484 2022/06/30 08:04:48 - mmengine - INFO - Epoch(train) [59][420/3757] lr: 1.000e-03 eta: 12:00:26 time: 0.362 data_time: 0.009 memory: 6404 grad_norm: 6.5171 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1576 loss: 1.1576 2022/06/30 08:04:53 - mmengine - INFO - Epoch(train) [59][440/3757] lr: 1.000e-03 eta: 12:00:20 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 7.3874 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3583 loss: 1.3583 2022/06/30 08:04:59 - mmengine - INFO - Epoch(train) [59][460/3757] lr: 1.000e-03 eta: 12:00:15 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 8.4759 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4981 loss: 1.4981 2022/06/30 08:05:04 - mmengine - INFO - Epoch(train) [59][480/3757] lr: 1.000e-03 eta: 12:00:09 time: 0.245 data_time: 0.015 memory: 6404 grad_norm: 7.7319 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2413 loss: 1.2413 2022/06/30 08:05:10 - mmengine - INFO - Epoch(train) [59][500/3757] lr: 1.000e-03 eta: 12:00:04 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 7.3422 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0856 loss: 1.0856 2022/06/30 08:05:15 - mmengine - INFO - Epoch(train) [59][520/3757] lr: 1.000e-03 eta: 11:59:58 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 6.3594 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2164 loss: 1.2164 2022/06/30 08:05:20 - mmengine - INFO - Epoch(train) [59][540/3757] lr: 1.000e-03 eta: 11:59:52 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 7.3057 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4890 loss: 1.4890 2022/06/30 08:05:25 - mmengine - INFO - Epoch(train) [59][560/3757] lr: 1.000e-03 eta: 11:59:47 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 8.2061 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3410 loss: 1.3410 2022/06/30 08:05:31 - mmengine - INFO - Epoch(train) [59][580/3757] lr: 1.000e-03 eta: 11:59:41 time: 0.271 data_time: 0.007 memory: 6404 grad_norm: 8.4352 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4019 loss: 1.4019 2022/06/30 08:05:37 - mmengine - INFO - Epoch(train) [59][600/3757] lr: 1.000e-03 eta: 11:59:36 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.7816 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1152 loss: 1.1152 2022/06/30 08:05:42 - mmengine - INFO - Epoch(train) [59][620/3757] lr: 1.000e-03 eta: 11:59:30 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 8.0093 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2731 loss: 1.2731 2022/06/30 08:05:48 - mmengine - INFO - Epoch(train) [59][640/3757] lr: 1.000e-03 eta: 11:59:25 time: 0.268 data_time: 0.011 memory: 6404 grad_norm: 8.4005 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3812 loss: 1.3812 2022/06/30 08:05:53 - mmengine - INFO - Epoch(train) [59][660/3757] lr: 1.000e-03 eta: 11:59:19 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 6.9008 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4977 loss: 1.4977 2022/06/30 08:05:58 - mmengine - INFO - Epoch(train) [59][680/3757] lr: 1.000e-03 eta: 11:59:14 time: 0.265 data_time: 0.009 memory: 6404 grad_norm: 7.1878 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3139 loss: 1.3139 2022/06/30 08:06:04 - mmengine - INFO - Epoch(train) [59][700/3757] lr: 1.000e-03 eta: 11:59:08 time: 0.267 data_time: 0.012 memory: 6404 grad_norm: 6.0412 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7372 loss: 1.7372 2022/06/30 08:06:09 - mmengine - INFO - Epoch(train) [59][720/3757] lr: 1.000e-03 eta: 11:59:03 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.7615 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3781 loss: 1.3781 2022/06/30 08:06:15 - mmengine - INFO - Epoch(train) [59][740/3757] lr: 1.000e-03 eta: 11:58:57 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.0979 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2574 loss: 1.2574 2022/06/30 08:06:21 - mmengine - INFO - Epoch(train) [59][760/3757] lr: 1.000e-03 eta: 11:58:52 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 7.8091 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8191 loss: 0.8191 2022/06/30 08:06:26 - mmengine - INFO - Epoch(train) [59][780/3757] lr: 1.000e-03 eta: 11:58:47 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.8260 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9852 loss: 0.9852 2022/06/30 08:06:32 - mmengine - INFO - Epoch(train) [59][800/3757] lr: 1.000e-03 eta: 11:58:41 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 9.1836 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1546 loss: 1.1546 2022/06/30 08:06:37 - mmengine - INFO - Epoch(train) [59][820/3757] lr: 1.000e-03 eta: 11:58:35 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 5.7245 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2436 loss: 1.2436 2022/06/30 08:06:43 - mmengine - INFO - Epoch(train) [59][840/3757] lr: 1.000e-03 eta: 11:58:30 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 7.8504 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3085 loss: 1.3085 2022/06/30 08:06:48 - mmengine - INFO - Epoch(train) [59][860/3757] lr: 1.000e-03 eta: 11:58:24 time: 0.443 data_time: 0.007 memory: 6404 grad_norm: 7.5635 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3699 loss: 1.3699 2022/06/30 08:06:53 - mmengine - INFO - Epoch(train) [59][880/3757] lr: 1.000e-03 eta: 11:58:19 time: 0.253 data_time: 0.015 memory: 6404 grad_norm: 8.0484 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5336 loss: 1.5336 2022/06/30 08:06:59 - mmengine - INFO - Epoch(train) [59][900/3757] lr: 1.000e-03 eta: 11:58:13 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 7.2431 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1466 loss: 1.1466 2022/06/30 08:07:05 - mmengine - INFO - Epoch(train) [59][920/3757] lr: 1.000e-03 eta: 11:58:08 time: 0.283 data_time: 0.006 memory: 6404 grad_norm: 7.9309 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3593 loss: 1.3593 2022/06/30 08:07:11 - mmengine - INFO - Epoch(train) [59][940/3757] lr: 1.000e-03 eta: 11:58:03 time: 0.277 data_time: 0.008 memory: 6404 grad_norm: 6.1824 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0651 loss: 1.0651 2022/06/30 08:07:16 - mmengine - INFO - Epoch(train) [59][960/3757] lr: 1.000e-03 eta: 11:57:57 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 6.1797 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9421 loss: 0.9421 2022/06/30 08:07:22 - mmengine - INFO - Epoch(train) [59][980/3757] lr: 1.000e-03 eta: 11:57:52 time: 0.273 data_time: 0.010 memory: 6404 grad_norm: 7.5546 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2205 loss: 1.2205 2022/06/30 08:07:27 - mmengine - INFO - Epoch(train) [59][1000/3757] lr: 1.000e-03 eta: 11:57:46 time: 0.261 data_time: 0.014 memory: 6404 grad_norm: 6.8328 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0716 loss: 1.0716 2022/06/30 08:07:32 - mmengine - INFO - Epoch(train) [59][1020/3757] lr: 1.000e-03 eta: 11:57:40 time: 0.257 data_time: 0.015 memory: 6404 grad_norm: 6.3565 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1901 loss: 1.1901 2022/06/30 08:07:37 - mmengine - INFO - Epoch(train) [59][1040/3757] lr: 1.000e-03 eta: 11:57:34 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 7.3575 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3404 loss: 1.3404 2022/06/30 08:07:42 - mmengine - INFO - Epoch(train) [59][1060/3757] lr: 1.000e-03 eta: 11:57:29 time: 0.248 data_time: 0.017 memory: 6404 grad_norm: 7.7149 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0882 loss: 1.0882 2022/06/30 08:07:48 - mmengine - INFO - Epoch(train) [59][1080/3757] lr: 1.000e-03 eta: 11:57:23 time: 0.259 data_time: 0.018 memory: 6404 grad_norm: 7.1983 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0106 loss: 1.0106 2022/06/30 08:07:52 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 08:07:53 - mmengine - INFO - Epoch(train) [59][1100/3757] lr: 1.000e-03 eta: 11:57:18 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 7.3988 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5559 loss: 1.5559 2022/06/30 08:07:59 - mmengine - INFO - Epoch(train) [59][1120/3757] lr: 1.000e-03 eta: 11:57:12 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 7.4392 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3928 loss: 1.3928 2022/06/30 08:08:04 - mmengine - INFO - Epoch(train) [59][1140/3757] lr: 1.000e-03 eta: 11:57:07 time: 0.281 data_time: 0.018 memory: 6404 grad_norm: 5.9574 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2588 loss: 1.2588 2022/06/30 08:08:10 - mmengine - INFO - Epoch(train) [59][1160/3757] lr: 1.000e-03 eta: 11:57:01 time: 0.316 data_time: 0.006 memory: 6404 grad_norm: 6.4859 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0521 loss: 1.0521 2022/06/30 08:08:15 - mmengine - INFO - Epoch(train) [59][1180/3757] lr: 1.000e-03 eta: 11:56:56 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 6.5871 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4561 loss: 1.4561 2022/06/30 08:08:21 - mmengine - INFO - Epoch(train) [59][1200/3757] lr: 1.000e-03 eta: 11:56:50 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 7.1933 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4655 loss: 1.4655 2022/06/30 08:08:27 - mmengine - INFO - Epoch(train) [59][1220/3757] lr: 1.000e-03 eta: 11:56:45 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 6.5876 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2229 loss: 1.2229 2022/06/30 08:08:32 - mmengine - INFO - Epoch(train) [59][1240/3757] lr: 1.000e-03 eta: 11:56:40 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 5.0062 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4222 loss: 1.4222 2022/06/30 08:08:38 - mmengine - INFO - Epoch(train) [59][1260/3757] lr: 1.000e-03 eta: 11:56:34 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 6.6846 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3194 loss: 1.3194 2022/06/30 08:08:43 - mmengine - INFO - Epoch(train) [59][1280/3757] lr: 1.000e-03 eta: 11:56:29 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 7.2585 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3567 loss: 1.3567 2022/06/30 08:08:49 - mmengine - INFO - Epoch(train) [59][1300/3757] lr: 1.000e-03 eta: 11:56:23 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 6.7772 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3024 loss: 1.3024 2022/06/30 08:08:54 - mmengine - INFO - Epoch(train) [59][1320/3757] lr: 1.000e-03 eta: 11:56:17 time: 0.271 data_time: 0.018 memory: 6404 grad_norm: 6.7674 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3842 loss: 1.3842 2022/06/30 08:08:59 - mmengine - INFO - Epoch(train) [59][1340/3757] lr: 1.000e-03 eta: 11:56:12 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 6.9692 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0231 loss: 1.0231 2022/06/30 08:09:04 - mmengine - INFO - Epoch(train) [59][1360/3757] lr: 1.000e-03 eta: 11:56:06 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 8.6103 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2053 loss: 1.2053 2022/06/30 08:09:10 - mmengine - INFO - Epoch(train) [59][1380/3757] lr: 1.000e-03 eta: 11:56:00 time: 0.262 data_time: 0.019 memory: 6404 grad_norm: 6.4302 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2379 loss: 1.2379 2022/06/30 08:09:15 - mmengine - INFO - Epoch(train) [59][1400/3757] lr: 1.000e-03 eta: 11:55:55 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 6.7576 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4243 loss: 1.4243 2022/06/30 08:09:21 - mmengine - INFO - Epoch(train) [59][1420/3757] lr: 1.000e-03 eta: 11:55:49 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 7.9307 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6640 loss: 1.6640 2022/06/30 08:09:26 - mmengine - INFO - Epoch(train) [59][1440/3757] lr: 1.000e-03 eta: 11:55:44 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 7.2498 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2490 loss: 1.2490 2022/06/30 08:09:32 - mmengine - INFO - Epoch(train) [59][1460/3757] lr: 1.000e-03 eta: 11:55:38 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 7.8118 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3678 loss: 1.3678 2022/06/30 08:09:37 - mmengine - INFO - Epoch(train) [59][1480/3757] lr: 1.000e-03 eta: 11:55:33 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 7.4049 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3885 loss: 1.3885 2022/06/30 08:09:43 - mmengine - INFO - Epoch(train) [59][1500/3757] lr: 1.000e-03 eta: 11:55:27 time: 0.264 data_time: 0.006 memory: 6404 grad_norm: 8.4977 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2713 loss: 1.2713 2022/06/30 08:09:49 - mmengine - INFO - Epoch(train) [59][1520/3757] lr: 1.000e-03 eta: 11:55:22 time: 0.369 data_time: 0.029 memory: 6404 grad_norm: 7.5820 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3418 loss: 1.3418 2022/06/30 08:09:54 - mmengine - INFO - Epoch(train) [59][1540/3757] lr: 1.000e-03 eta: 11:55:17 time: 0.265 data_time: 0.011 memory: 6404 grad_norm: 7.2522 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4945 loss: 1.4945 2022/06/30 08:09:59 - mmengine - INFO - Epoch(train) [59][1560/3757] lr: 1.000e-03 eta: 11:55:11 time: 0.312 data_time: 0.011 memory: 6404 grad_norm: 7.5298 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3067 loss: 1.3067 2022/06/30 08:10:05 - mmengine - INFO - Epoch(train) [59][1580/3757] lr: 1.000e-03 eta: 11:55:05 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 7.8963 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0579 loss: 1.0579 2022/06/30 08:10:11 - mmengine - INFO - Epoch(train) [59][1600/3757] lr: 1.000e-03 eta: 11:55:00 time: 0.258 data_time: 0.031 memory: 6404 grad_norm: 6.3751 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4696 loss: 1.4696 2022/06/30 08:10:16 - mmengine - INFO - Epoch(train) [59][1620/3757] lr: 1.000e-03 eta: 11:54:55 time: 0.400 data_time: 0.012 memory: 6404 grad_norm: 7.5976 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2146 loss: 1.2146 2022/06/30 08:10:21 - mmengine - INFO - Epoch(train) [59][1640/3757] lr: 1.000e-03 eta: 11:54:49 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 7.8281 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2281 loss: 1.2281 2022/06/30 08:10:27 - mmengine - INFO - Epoch(train) [59][1660/3757] lr: 1.000e-03 eta: 11:54:43 time: 0.261 data_time: 0.032 memory: 6404 grad_norm: 7.5366 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4219 loss: 1.4219 2022/06/30 08:10:32 - mmengine - INFO - Epoch(train) [59][1680/3757] lr: 1.000e-03 eta: 11:54:38 time: 0.266 data_time: 0.018 memory: 6404 grad_norm: 8.0801 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1977 loss: 1.1977 2022/06/30 08:10:37 - mmengine - INFO - Epoch(train) [59][1700/3757] lr: 1.000e-03 eta: 11:54:32 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 7.6612 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3256 loss: 1.3256 2022/06/30 08:10:42 - mmengine - INFO - Epoch(train) [59][1720/3757] lr: 1.000e-03 eta: 11:54:26 time: 0.259 data_time: 0.067 memory: 6404 grad_norm: 8.9266 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3932 loss: 1.3932 2022/06/30 08:10:48 - mmengine - INFO - Epoch(train) [59][1740/3757] lr: 1.000e-03 eta: 11:54:21 time: 0.493 data_time: 0.010 memory: 6404 grad_norm: 8.6100 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3754 loss: 1.3754 2022/06/30 08:10:53 - mmengine - INFO - Epoch(train) [59][1760/3757] lr: 1.000e-03 eta: 11:54:15 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.8658 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0024 loss: 1.0024 2022/06/30 08:10:59 - mmengine - INFO - Epoch(train) [59][1780/3757] lr: 1.000e-03 eta: 11:54:10 time: 0.432 data_time: 0.038 memory: 6404 grad_norm: 6.0102 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2210 loss: 1.2210 2022/06/30 08:11:05 - mmengine - INFO - Epoch(train) [59][1800/3757] lr: 1.000e-03 eta: 11:54:04 time: 0.250 data_time: 0.016 memory: 6404 grad_norm: 8.4900 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1157 loss: 1.1157 2022/06/30 08:11:10 - mmengine - INFO - Epoch(train) [59][1820/3757] lr: 1.000e-03 eta: 11:53:59 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 7.6722 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3065 loss: 1.3065 2022/06/30 08:11:15 - mmengine - INFO - Epoch(train) [59][1840/3757] lr: 1.000e-03 eta: 11:53:53 time: 0.274 data_time: 0.023 memory: 6404 grad_norm: 5.6952 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8907 loss: 0.8907 2022/06/30 08:11:21 - mmengine - INFO - Epoch(train) [59][1860/3757] lr: 1.000e-03 eta: 11:53:48 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 8.2733 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0550 loss: 1.0550 2022/06/30 08:11:26 - mmengine - INFO - Epoch(train) [59][1880/3757] lr: 1.000e-03 eta: 11:53:42 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 7.4200 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3164 loss: 1.3164 2022/06/30 08:11:32 - mmengine - INFO - Epoch(train) [59][1900/3757] lr: 1.000e-03 eta: 11:53:37 time: 0.252 data_time: 0.042 memory: 6404 grad_norm: 6.5383 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2942 loss: 1.2942 2022/06/30 08:11:37 - mmengine - INFO - Epoch(train) [59][1920/3757] lr: 1.000e-03 eta: 11:53:31 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.9767 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9514 loss: 0.9514 2022/06/30 08:11:42 - mmengine - INFO - Epoch(train) [59][1940/3757] lr: 1.000e-03 eta: 11:53:25 time: 0.288 data_time: 0.008 memory: 6404 grad_norm: 6.2943 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9912 loss: 0.9912 2022/06/30 08:11:48 - mmengine - INFO - Epoch(train) [59][1960/3757] lr: 1.000e-03 eta: 11:53:20 time: 0.358 data_time: 0.031 memory: 6404 grad_norm: 7.3474 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9767 loss: 0.9767 2022/06/30 08:11:53 - mmengine - INFO - Epoch(train) [59][1980/3757] lr: 1.000e-03 eta: 11:53:14 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 8.3163 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1807 loss: 1.1807 2022/06/30 08:11:59 - mmengine - INFO - Epoch(train) [59][2000/3757] lr: 1.000e-03 eta: 11:53:09 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.6440 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9639 loss: 0.9639 2022/06/30 08:12:04 - mmengine - INFO - Epoch(train) [59][2020/3757] lr: 1.000e-03 eta: 11:53:03 time: 0.389 data_time: 0.020 memory: 6404 grad_norm: 6.7333 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1225 loss: 1.1225 2022/06/30 08:12:10 - mmengine - INFO - Epoch(train) [59][2040/3757] lr: 1.000e-03 eta: 11:52:58 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 7.8518 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8823 loss: 0.8823 2022/06/30 08:12:15 - mmengine - INFO - Epoch(train) [59][2060/3757] lr: 1.000e-03 eta: 11:52:52 time: 0.518 data_time: 0.007 memory: 6404 grad_norm: 6.8230 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9453 loss: 0.9453 2022/06/30 08:12:21 - mmengine - INFO - Epoch(train) [59][2080/3757] lr: 1.000e-03 eta: 11:52:47 time: 0.250 data_time: 0.038 memory: 6404 grad_norm: 6.7857 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0317 loss: 1.0317 2022/06/30 08:12:25 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 08:12:28 - mmengine - INFO - Epoch(train) [59][2100/3757] lr: 1.000e-03 eta: 11:52:42 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 8.6588 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5607 loss: 1.5607 2022/06/30 08:12:33 - mmengine - INFO - Epoch(train) [59][2120/3757] lr: 1.000e-03 eta: 11:52:37 time: 0.276 data_time: 0.007 memory: 6404 grad_norm: 7.9339 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2240 loss: 1.2240 2022/06/30 08:12:38 - mmengine - INFO - Epoch(train) [59][2140/3757] lr: 1.000e-03 eta: 11:52:31 time: 0.244 data_time: 0.023 memory: 6404 grad_norm: 6.8884 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1261 loss: 1.1261 2022/06/30 08:12:43 - mmengine - INFO - Epoch(train) [59][2160/3757] lr: 1.000e-03 eta: 11:52:25 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 5.7398 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7905 loss: 0.7905 2022/06/30 08:12:49 - mmengine - INFO - Epoch(train) [59][2180/3757] lr: 1.000e-03 eta: 11:52:20 time: 0.831 data_time: 0.006 memory: 6404 grad_norm: 6.5679 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7189 loss: 1.7189 2022/06/30 08:12:54 - mmengine - INFO - Epoch(train) [59][2200/3757] lr: 1.000e-03 eta: 11:52:14 time: 0.249 data_time: 0.014 memory: 6404 grad_norm: 8.0266 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4489 loss: 1.4489 2022/06/30 08:13:00 - mmengine - INFO - Epoch(train) [59][2220/3757] lr: 1.000e-03 eta: 11:52:09 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.5896 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6288 loss: 1.6288 2022/06/30 08:13:05 - mmengine - INFO - Epoch(train) [59][2240/3757] lr: 1.000e-03 eta: 11:52:03 time: 0.392 data_time: 0.006 memory: 6404 grad_norm: 7.6208 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4395 loss: 1.4395 2022/06/30 08:13:11 - mmengine - INFO - Epoch(train) [59][2260/3757] lr: 1.000e-03 eta: 11:51:58 time: 0.252 data_time: 0.055 memory: 6404 grad_norm: 6.9882 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0748 loss: 1.0748 2022/06/30 08:13:16 - mmengine - INFO - Epoch(train) [59][2280/3757] lr: 1.000e-03 eta: 11:51:52 time: 0.251 data_time: 0.016 memory: 6404 grad_norm: 7.1495 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0604 loss: 1.0604 2022/06/30 08:13:22 - mmengine - INFO - Epoch(train) [59][2300/3757] lr: 1.000e-03 eta: 11:51:47 time: 0.754 data_time: 0.010 memory: 6404 grad_norm: 6.9557 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3772 loss: 1.3772 2022/06/30 08:13:27 - mmengine - INFO - Epoch(train) [59][2320/3757] lr: 1.000e-03 eta: 11:51:41 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 7.5975 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8790 loss: 0.8790 2022/06/30 08:13:33 - mmengine - INFO - Epoch(train) [59][2340/3757] lr: 1.000e-03 eta: 11:51:36 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 6.8330 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0435 loss: 1.0435 2022/06/30 08:13:38 - mmengine - INFO - Epoch(train) [59][2360/3757] lr: 1.000e-03 eta: 11:51:30 time: 0.573 data_time: 0.009 memory: 6404 grad_norm: 7.0354 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5950 loss: 1.5950 2022/06/30 08:13:44 - mmengine - INFO - Epoch(train) [59][2380/3757] lr: 1.000e-03 eta: 11:51:25 time: 0.398 data_time: 0.008 memory: 6404 grad_norm: 7.1321 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0723 loss: 1.0723 2022/06/30 08:13:49 - mmengine - INFO - Epoch(train) [59][2400/3757] lr: 1.000e-03 eta: 11:51:19 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 6.9539 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2263 loss: 1.2263 2022/06/30 08:13:55 - mmengine - INFO - Epoch(train) [59][2420/3757] lr: 1.000e-03 eta: 11:51:14 time: 0.697 data_time: 0.011 memory: 6404 grad_norm: 8.3415 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2617 loss: 1.2617 2022/06/30 08:14:01 - mmengine - INFO - Epoch(train) [59][2440/3757] lr: 1.000e-03 eta: 11:51:08 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 8.5884 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2852 loss: 1.2852 2022/06/30 08:14:06 - mmengine - INFO - Epoch(train) [59][2460/3757] lr: 1.000e-03 eta: 11:51:03 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 6.9554 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3401 loss: 1.3401 2022/06/30 08:14:11 - mmengine - INFO - Epoch(train) [59][2480/3757] lr: 1.000e-03 eta: 11:50:57 time: 0.283 data_time: 0.011 memory: 6404 grad_norm: 8.1772 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3120 loss: 1.3120 2022/06/30 08:14:17 - mmengine - INFO - Epoch(train) [59][2500/3757] lr: 1.000e-03 eta: 11:50:52 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 7.0041 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0241 loss: 1.0241 2022/06/30 08:14:22 - mmengine - INFO - Epoch(train) [59][2520/3757] lr: 1.000e-03 eta: 11:50:46 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 7.4086 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0233 loss: 1.0233 2022/06/30 08:14:27 - mmengine - INFO - Epoch(train) [59][2540/3757] lr: 1.000e-03 eta: 11:50:40 time: 0.270 data_time: 0.016 memory: 6404 grad_norm: 7.9879 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5255 loss: 1.5255 2022/06/30 08:14:33 - mmengine - INFO - Epoch(train) [59][2560/3757] lr: 1.000e-03 eta: 11:50:35 time: 0.259 data_time: 0.006 memory: 6404 grad_norm: 6.8386 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3561 loss: 1.3561 2022/06/30 08:14:38 - mmengine - INFO - Epoch(train) [59][2580/3757] lr: 1.000e-03 eta: 11:50:29 time: 0.266 data_time: 0.009 memory: 6404 grad_norm: 7.7755 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8344 loss: 0.8344 2022/06/30 08:14:43 - mmengine - INFO - Epoch(train) [59][2600/3757] lr: 1.000e-03 eta: 11:50:24 time: 0.268 data_time: 0.012 memory: 6404 grad_norm: 7.4404 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0432 loss: 1.0432 2022/06/30 08:14:49 - mmengine - INFO - Epoch(train) [59][2620/3757] lr: 1.000e-03 eta: 11:50:18 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 7.1057 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1916 loss: 1.1916 2022/06/30 08:14:54 - mmengine - INFO - Epoch(train) [59][2640/3757] lr: 1.000e-03 eta: 11:50:12 time: 0.240 data_time: 0.011 memory: 6404 grad_norm: 7.5347 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1184 loss: 1.1184 2022/06/30 08:15:00 - mmengine - INFO - Epoch(train) [59][2660/3757] lr: 1.000e-03 eta: 11:50:07 time: 0.269 data_time: 0.018 memory: 6404 grad_norm: 7.3723 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6473 loss: 1.6473 2022/06/30 08:15:06 - mmengine - INFO - Epoch(train) [59][2680/3757] lr: 1.000e-03 eta: 11:50:02 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.6242 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2582 loss: 1.2582 2022/06/30 08:15:11 - mmengine - INFO - Epoch(train) [59][2700/3757] lr: 1.000e-03 eta: 11:49:56 time: 0.244 data_time: 0.014 memory: 6404 grad_norm: 7.8490 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5252 loss: 1.5252 2022/06/30 08:15:16 - mmengine - INFO - Epoch(train) [59][2720/3757] lr: 1.000e-03 eta: 11:49:50 time: 0.269 data_time: 0.011 memory: 6404 grad_norm: 8.2063 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1906 loss: 1.1906 2022/06/30 08:15:22 - mmengine - INFO - Epoch(train) [59][2740/3757] lr: 1.000e-03 eta: 11:49:45 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 6.8994 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0436 loss: 1.0436 2022/06/30 08:15:27 - mmengine - INFO - Epoch(train) [59][2760/3757] lr: 1.000e-03 eta: 11:49:40 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.3169 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4748 loss: 1.4748 2022/06/30 08:15:33 - mmengine - INFO - Epoch(train) [59][2780/3757] lr: 1.000e-03 eta: 11:49:34 time: 0.264 data_time: 0.013 memory: 6404 grad_norm: 6.6511 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3638 loss: 1.3638 2022/06/30 08:15:39 - mmengine - INFO - Epoch(train) [59][2800/3757] lr: 1.000e-03 eta: 11:49:29 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 8.9086 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1224 loss: 1.1224 2022/06/30 08:15:44 - mmengine - INFO - Epoch(train) [59][2820/3757] lr: 1.000e-03 eta: 11:49:23 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 6.9127 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9424 loss: 0.9424 2022/06/30 08:15:50 - mmengine - INFO - Epoch(train) [59][2840/3757] lr: 1.000e-03 eta: 11:49:18 time: 0.251 data_time: 0.015 memory: 6404 grad_norm: 8.1168 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6051 loss: 1.6051 2022/06/30 08:15:55 - mmengine - INFO - Epoch(train) [59][2860/3757] lr: 1.000e-03 eta: 11:49:12 time: 0.282 data_time: 0.011 memory: 6404 grad_norm: 7.9518 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0861 loss: 1.0861 2022/06/30 08:16:01 - mmengine - INFO - Epoch(train) [59][2880/3757] lr: 1.000e-03 eta: 11:49:07 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 8.4648 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6014 loss: 1.6014 2022/06/30 08:16:06 - mmengine - INFO - Epoch(train) [59][2900/3757] lr: 1.000e-03 eta: 11:49:01 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 7.1464 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0024 loss: 1.0024 2022/06/30 08:16:11 - mmengine - INFO - Epoch(train) [59][2920/3757] lr: 1.000e-03 eta: 11:48:56 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.5760 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4905 loss: 1.4905 2022/06/30 08:16:17 - mmengine - INFO - Epoch(train) [59][2940/3757] lr: 1.000e-03 eta: 11:48:50 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 7.5569 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3292 loss: 1.3292 2022/06/30 08:16:22 - mmengine - INFO - Epoch(train) [59][2960/3757] lr: 1.000e-03 eta: 11:48:44 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.1570 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3168 loss: 1.3168 2022/06/30 08:16:28 - mmengine - INFO - Epoch(train) [59][2980/3757] lr: 1.000e-03 eta: 11:48:39 time: 0.239 data_time: 0.011 memory: 6404 grad_norm: 6.9642 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3518 loss: 1.3518 2022/06/30 08:16:33 - mmengine - INFO - Epoch(train) [59][3000/3757] lr: 1.000e-03 eta: 11:48:33 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 7.4883 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3832 loss: 1.3832 2022/06/30 08:16:39 - mmengine - INFO - Epoch(train) [59][3020/3757] lr: 1.000e-03 eta: 11:48:28 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 7.9796 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3473 loss: 1.3473 2022/06/30 08:16:44 - mmengine - INFO - Epoch(train) [59][3040/3757] lr: 1.000e-03 eta: 11:48:22 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 8.5003 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4024 loss: 1.4024 2022/06/30 08:16:50 - mmengine - INFO - Epoch(train) [59][3060/3757] lr: 1.000e-03 eta: 11:48:17 time: 0.248 data_time: 0.013 memory: 6404 grad_norm: 6.1308 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7779 loss: 0.7779 2022/06/30 08:16:55 - mmengine - INFO - Epoch(train) [59][3080/3757] lr: 1.000e-03 eta: 11:48:11 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 7.2067 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1375 loss: 1.1375 2022/06/30 08:16:59 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 08:17:00 - mmengine - INFO - Epoch(train) [59][3100/3757] lr: 1.000e-03 eta: 11:48:06 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.2018 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0770 loss: 1.0770 2022/06/30 08:17:06 - mmengine - INFO - Epoch(train) [59][3120/3757] lr: 1.000e-03 eta: 11:48:00 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 7.6141 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1982 loss: 1.1982 2022/06/30 08:17:12 - mmengine - INFO - Epoch(train) [59][3140/3757] lr: 1.000e-03 eta: 11:47:55 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 7.0604 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0285 loss: 1.0285 2022/06/30 08:17:18 - mmengine - INFO - Epoch(train) [59][3160/3757] lr: 1.000e-03 eta: 11:47:50 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 7.2155 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2554 loss: 1.2554 2022/06/30 08:17:23 - mmengine - INFO - Epoch(train) [59][3180/3757] lr: 1.000e-03 eta: 11:47:44 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 7.3123 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1172 loss: 1.1172 2022/06/30 08:17:29 - mmengine - INFO - Epoch(train) [59][3200/3757] lr: 1.000e-03 eta: 11:47:39 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 6.3202 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1926 loss: 1.1926 2022/06/30 08:17:34 - mmengine - INFO - Epoch(train) [59][3220/3757] lr: 1.000e-03 eta: 11:47:33 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.1460 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2524 loss: 1.2524 2022/06/30 08:17:40 - mmengine - INFO - Epoch(train) [59][3240/3757] lr: 1.000e-03 eta: 11:47:28 time: 0.260 data_time: 0.009 memory: 6404 grad_norm: 6.6528 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9654 loss: 0.9654 2022/06/30 08:17:45 - mmengine - INFO - Epoch(train) [59][3260/3757] lr: 1.000e-03 eta: 11:47:22 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 7.3822 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3035 loss: 1.3035 2022/06/30 08:17:51 - mmengine - INFO - Epoch(train) [59][3280/3757] lr: 1.000e-03 eta: 11:47:17 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.0805 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0919 loss: 1.0919 2022/06/30 08:17:56 - mmengine - INFO - Epoch(train) [59][3300/3757] lr: 1.000e-03 eta: 11:47:11 time: 0.251 data_time: 0.015 memory: 6404 grad_norm: 6.3111 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0522 loss: 1.0522 2022/06/30 08:18:01 - mmengine - INFO - Epoch(train) [59][3320/3757] lr: 1.000e-03 eta: 11:47:05 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 6.9764 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1560 loss: 1.1560 2022/06/30 08:18:06 - mmengine - INFO - Epoch(train) [59][3340/3757] lr: 1.000e-03 eta: 11:47:00 time: 0.265 data_time: 0.015 memory: 6404 grad_norm: 7.5167 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5044 loss: 1.5044 2022/06/30 08:18:12 - mmengine - INFO - Epoch(train) [59][3360/3757] lr: 1.000e-03 eta: 11:46:55 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 7.2020 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0405 loss: 1.0405 2022/06/30 08:18:18 - mmengine - INFO - Epoch(train) [59][3380/3757] lr: 1.000e-03 eta: 11:46:49 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 7.8965 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2712 loss: 1.2712 2022/06/30 08:18:23 - mmengine - INFO - Epoch(train) [59][3400/3757] lr: 1.000e-03 eta: 11:46:43 time: 0.260 data_time: 0.013 memory: 6404 grad_norm: 6.9777 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3030 loss: 1.3030 2022/06/30 08:18:29 - mmengine - INFO - Epoch(train) [59][3420/3757] lr: 1.000e-03 eta: 11:46:38 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 8.4022 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4327 loss: 1.4327 2022/06/30 08:18:34 - mmengine - INFO - Epoch(train) [59][3440/3757] lr: 1.000e-03 eta: 11:46:32 time: 0.258 data_time: 0.018 memory: 6404 grad_norm: 8.4898 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 0.9606 loss: 0.9606 2022/06/30 08:18:40 - mmengine - INFO - Epoch(train) [59][3460/3757] lr: 1.000e-03 eta: 11:46:27 time: 0.256 data_time: 0.035 memory: 6404 grad_norm: 6.5628 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2905 loss: 1.2905 2022/06/30 08:18:45 - mmengine - INFO - Epoch(train) [59][3480/3757] lr: 1.000e-03 eta: 11:46:21 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 7.5704 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4206 loss: 1.4206 2022/06/30 08:18:50 - mmengine - INFO - Epoch(train) [59][3500/3757] lr: 1.000e-03 eta: 11:46:16 time: 0.255 data_time: 0.014 memory: 6404 grad_norm: 6.6242 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2111 loss: 1.2111 2022/06/30 08:18:55 - mmengine - INFO - Epoch(train) [59][3520/3757] lr: 1.000e-03 eta: 11:46:10 time: 0.350 data_time: 0.014 memory: 6404 grad_norm: 8.2340 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3324 loss: 1.3324 2022/06/30 08:19:01 - mmengine - INFO - Epoch(train) [59][3540/3757] lr: 1.000e-03 eta: 11:46:05 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 6.7109 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2138 loss: 1.2138 2022/06/30 08:19:07 - mmengine - INFO - Epoch(train) [59][3560/3757] lr: 1.000e-03 eta: 11:45:59 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 7.4240 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3375 loss: 1.3375 2022/06/30 08:19:12 - mmengine - INFO - Epoch(train) [59][3580/3757] lr: 1.000e-03 eta: 11:45:54 time: 0.259 data_time: 0.014 memory: 6404 grad_norm: 7.4568 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2399 loss: 1.2399 2022/06/30 08:19:18 - mmengine - INFO - Epoch(train) [59][3600/3757] lr: 1.000e-03 eta: 11:45:48 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 7.5038 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9083 loss: 0.9083 2022/06/30 08:19:23 - mmengine - INFO - Epoch(train) [59][3620/3757] lr: 1.000e-03 eta: 11:45:43 time: 0.255 data_time: 0.026 memory: 6404 grad_norm: 8.0490 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5731 loss: 1.5731 2022/06/30 08:19:29 - mmengine - INFO - Epoch(train) [59][3640/3757] lr: 1.000e-03 eta: 11:45:38 time: 0.768 data_time: 0.013 memory: 6404 grad_norm: 6.9706 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3343 loss: 1.3343 2022/06/30 08:19:35 - mmengine - INFO - Epoch(train) [59][3660/3757] lr: 1.000e-03 eta: 11:45:32 time: 0.240 data_time: 0.007 memory: 6404 grad_norm: 9.1487 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3614 loss: 1.3614 2022/06/30 08:19:40 - mmengine - INFO - Epoch(train) [59][3680/3757] lr: 1.000e-03 eta: 11:45:26 time: 0.244 data_time: 0.032 memory: 6404 grad_norm: 6.6984 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2967 loss: 1.2967 2022/06/30 08:19:45 - mmengine - INFO - Epoch(train) [59][3700/3757] lr: 1.000e-03 eta: 11:45:21 time: 0.259 data_time: 0.016 memory: 6404 grad_norm: 8.0501 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4343 loss: 1.4343 2022/06/30 08:19:52 - mmengine - INFO - Epoch(train) [59][3720/3757] lr: 1.000e-03 eta: 11:45:16 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 8.8819 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2636 loss: 1.2636 2022/06/30 08:19:57 - mmengine - INFO - Epoch(train) [59][3740/3757] lr: 1.000e-03 eta: 11:45:10 time: 0.280 data_time: 0.091 memory: 6404 grad_norm: 7.8750 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9676 loss: 0.9676 2022/06/30 08:20:01 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 08:20:08 - mmengine - INFO - Epoch(val) [59][20/310] eta: 0:01:31 time: 0.087 data_time: 0.009 memory: 6404 2022/06/30 08:20:14 - mmengine - INFO - Epoch(val) [59][40/310] eta: 0:01:12 time: 0.100 data_time: 0.011 memory: 1479 2022/06/30 08:20:18 - mmengine - INFO - Epoch(val) [59][60/310] eta: 0:00:23 time: 0.101 data_time: 0.018 memory: 1479 2022/06/30 08:20:24 - mmengine - INFO - Epoch(val) [59][80/310] eta: 0:01:08 time: 0.094 data_time: 0.013 memory: 1479 2022/06/30 08:20:30 - mmengine - INFO - Epoch(val) [59][100/310] eta: 0:01:03 time: 0.313 data_time: 0.224 memory: 1479 2022/06/30 08:20:34 - mmengine - INFO - Epoch(val) [59][120/310] eta: 0:00:24 time: 0.097 data_time: 0.015 memory: 1479 2022/06/30 08:20:40 - mmengine - INFO - Epoch(val) [59][140/310] eta: 0:00:55 time: 0.089 data_time: 0.009 memory: 1479 2022/06/30 08:20:47 - mmengine - INFO - Epoch(val) [59][160/310] eta: 0:00:48 time: 1.886 data_time: 1.790 memory: 1479 2022/06/30 08:20:51 - mmengine - INFO - Epoch(val) [59][180/310] eta: 0:00:41 time: 0.080 data_time: 0.005 memory: 1479 2022/06/30 08:20:56 - mmengine - INFO - Epoch(val) [59][200/310] eta: 0:00:31 time: 0.080 data_time: 0.006 memory: 1479 2022/06/30 08:21:02 - mmengine - INFO - Epoch(val) [59][220/310] eta: 0:00:27 time: 1.895 data_time: 1.799 memory: 1479 2022/06/30 08:21:06 - mmengine - INFO - Epoch(val) [59][240/310] eta: 0:00:20 time: 0.085 data_time: 0.005 memory: 1479 2022/06/30 08:21:12 - mmengine - INFO - Epoch(val) [59][260/310] eta: 0:00:15 time: 0.090 data_time: 0.007 memory: 1479 2022/06/30 08:21:18 - mmengine - INFO - Epoch(val) [59][280/310] eta: 0:00:09 time: 1.463 data_time: 1.379 memory: 1479 2022/06/30 08:21:22 - mmengine - INFO - Epoch(val) [59][300/310] eta: 0:00:02 time: 0.082 data_time: 0.005 memory: 1479 2022/06/30 08:21:24 - mmengine - INFO - Epoch(val) [59][310/310] acc/top1: 0.6653 acc/top5: 0.8681 acc/mean1: 0.6653 2022/06/30 08:21:33 - mmengine - INFO - Epoch(train) [60][20/3757] lr: 1.000e-03 eta: 11:45:00 time: 0.242 data_time: 0.010 memory: 6404 grad_norm: 7.1737 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1259 loss: 1.1259 2022/06/30 08:21:40 - mmengine - INFO - Epoch(train) [60][40/3757] lr: 1.000e-03 eta: 11:44:55 time: 0.382 data_time: 0.007 memory: 6404 grad_norm: 7.8867 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9011 loss: 0.9011 2022/06/30 08:21:45 - mmengine - INFO - Epoch(train) [60][60/3757] lr: 1.000e-03 eta: 11:44:50 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 7.3846 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1723 loss: 1.1723 2022/06/30 08:21:50 - mmengine - INFO - Epoch(train) [60][80/3757] lr: 1.000e-03 eta: 11:44:44 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.4636 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9422 loss: 0.9422 2022/06/30 08:21:56 - mmengine - INFO - Epoch(train) [60][100/3757] lr: 1.000e-03 eta: 11:44:39 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 7.9916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1444 loss: 1.1444 2022/06/30 08:22:02 - mmengine - INFO - Epoch(train) [60][120/3757] lr: 1.000e-03 eta: 11:44:33 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 7.2024 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2180 loss: 1.2180 2022/06/30 08:22:07 - mmengine - INFO - Epoch(train) [60][140/3757] lr: 1.000e-03 eta: 11:44:28 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.7038 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9826 loss: 0.9826 2022/06/30 08:22:12 - mmengine - INFO - Epoch(train) [60][160/3757] lr: 1.000e-03 eta: 11:44:22 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.2292 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4642 loss: 1.4642 2022/06/30 08:22:18 - mmengine - INFO - Epoch(train) [60][180/3757] lr: 1.000e-03 eta: 11:44:17 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 6.4792 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0323 loss: 1.0323 2022/06/30 08:22:24 - mmengine - INFO - Epoch(train) [60][200/3757] lr: 1.000e-03 eta: 11:44:12 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 8.1693 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4343 loss: 1.4343 2022/06/30 08:22:29 - mmengine - INFO - Epoch(train) [60][220/3757] lr: 1.000e-03 eta: 11:44:06 time: 0.258 data_time: 0.017 memory: 6404 grad_norm: 6.4249 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3173 loss: 1.3173 2022/06/30 08:22:35 - mmengine - INFO - Epoch(train) [60][240/3757] lr: 1.000e-03 eta: 11:44:00 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.3691 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1120 loss: 1.1120 2022/06/30 08:22:40 - mmengine - INFO - Epoch(train) [60][260/3757] lr: 1.000e-03 eta: 11:43:55 time: 0.293 data_time: 0.057 memory: 6404 grad_norm: 7.4820 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3296 loss: 1.3296 2022/06/30 08:22:45 - mmengine - INFO - Epoch(train) [60][280/3757] lr: 1.000e-03 eta: 11:43:49 time: 0.250 data_time: 0.017 memory: 6404 grad_norm: 7.6604 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1660 loss: 1.1660 2022/06/30 08:22:51 - mmengine - INFO - Epoch(train) [60][300/3757] lr: 1.000e-03 eta: 11:43:44 time: 0.251 data_time: 0.015 memory: 6404 grad_norm: 5.9642 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2459 loss: 1.2459 2022/06/30 08:22:56 - mmengine - INFO - Epoch(train) [60][320/3757] lr: 1.000e-03 eta: 11:43:38 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 7.8791 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3604 loss: 1.3604 2022/06/30 08:23:01 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 08:23:02 - mmengine - INFO - Epoch(train) [60][340/3757] lr: 1.000e-03 eta: 11:43:33 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.9464 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2067 loss: 1.2067 2022/06/30 08:23:07 - mmengine - INFO - Epoch(train) [60][360/3757] lr: 1.000e-03 eta: 11:43:27 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 7.0657 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2108 loss: 1.2108 2022/06/30 08:23:13 - mmengine - INFO - Epoch(train) [60][380/3757] lr: 1.000e-03 eta: 11:43:22 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 6.3324 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2783 loss: 1.2783 2022/06/30 08:23:18 - mmengine - INFO - Epoch(train) [60][400/3757] lr: 1.000e-03 eta: 11:43:16 time: 0.256 data_time: 0.016 memory: 6404 grad_norm: 6.9729 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8685 loss: 0.8685 2022/06/30 08:23:24 - mmengine - INFO - Epoch(train) [60][420/3757] lr: 1.000e-03 eta: 11:43:11 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 8.1275 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0695 loss: 1.0695 2022/06/30 08:23:29 - mmengine - INFO - Epoch(train) [60][440/3757] lr: 1.000e-03 eta: 11:43:05 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.8561 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2480 loss: 1.2480 2022/06/30 08:23:34 - mmengine - INFO - Epoch(train) [60][460/3757] lr: 1.000e-03 eta: 11:43:00 time: 0.257 data_time: 0.023 memory: 6404 grad_norm: 7.2786 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2760 loss: 1.2760 2022/06/30 08:23:40 - mmengine - INFO - Epoch(train) [60][480/3757] lr: 1.000e-03 eta: 11:42:54 time: 0.284 data_time: 0.046 memory: 6404 grad_norm: 7.2274 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3089 loss: 1.3089 2022/06/30 08:23:46 - mmengine - INFO - Epoch(train) [60][500/3757] lr: 1.000e-03 eta: 11:42:49 time: 0.265 data_time: 0.010 memory: 6404 grad_norm: 7.6396 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1774 loss: 1.1774 2022/06/30 08:23:51 - mmengine - INFO - Epoch(train) [60][520/3757] lr: 1.000e-03 eta: 11:42:43 time: 0.278 data_time: 0.008 memory: 6404 grad_norm: 6.2679 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4515 loss: 1.4515 2022/06/30 08:23:56 - mmengine - INFO - Epoch(train) [60][540/3757] lr: 1.000e-03 eta: 11:42:38 time: 0.250 data_time: 0.037 memory: 6404 grad_norm: 7.2689 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4145 loss: 1.4145 2022/06/30 08:24:02 - mmengine - INFO - Epoch(train) [60][560/3757] lr: 1.000e-03 eta: 11:42:32 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 5.6569 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0048 loss: 1.0048 2022/06/30 08:24:07 - mmengine - INFO - Epoch(train) [60][580/3757] lr: 1.000e-03 eta: 11:42:26 time: 0.276 data_time: 0.007 memory: 6404 grad_norm: 6.2284 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1503 loss: 1.1503 2022/06/30 08:24:13 - mmengine - INFO - Epoch(train) [60][600/3757] lr: 1.000e-03 eta: 11:42:21 time: 0.243 data_time: 0.030 memory: 6404 grad_norm: 6.1454 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9136 loss: 0.9136 2022/06/30 08:24:19 - mmengine - INFO - Epoch(train) [60][620/3757] lr: 1.000e-03 eta: 11:42:16 time: 0.261 data_time: 0.011 memory: 6404 grad_norm: 5.8545 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9980 loss: 0.9980 2022/06/30 08:24:24 - mmengine - INFO - Epoch(train) [60][640/3757] lr: 1.000e-03 eta: 11:42:10 time: 0.272 data_time: 0.006 memory: 6404 grad_norm: 7.5335 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2714 loss: 1.2714 2022/06/30 08:24:29 - mmengine - INFO - Epoch(train) [60][660/3757] lr: 1.000e-03 eta: 11:42:05 time: 0.254 data_time: 0.025 memory: 6404 grad_norm: 7.6339 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1653 loss: 1.1653 2022/06/30 08:24:35 - mmengine - INFO - Epoch(train) [60][680/3757] lr: 1.000e-03 eta: 11:41:59 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 6.9555 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5777 loss: 1.5777 2022/06/30 08:24:40 - mmengine - INFO - Epoch(train) [60][700/3757] lr: 1.000e-03 eta: 11:41:53 time: 0.287 data_time: 0.010 memory: 6404 grad_norm: 5.4847 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2844 loss: 1.2844 2022/06/30 08:24:46 - mmengine - INFO - Epoch(train) [60][720/3757] lr: 1.000e-03 eta: 11:41:48 time: 0.254 data_time: 0.023 memory: 6404 grad_norm: 7.7220 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4699 loss: 1.4699 2022/06/30 08:24:51 - mmengine - INFO - Epoch(train) [60][740/3757] lr: 1.000e-03 eta: 11:41:42 time: 0.246 data_time: 0.016 memory: 6404 grad_norm: 7.2340 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9152 loss: 0.9152 2022/06/30 08:24:57 - mmengine - INFO - Epoch(train) [60][760/3757] lr: 1.000e-03 eta: 11:41:37 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 6.7910 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2522 loss: 1.2522 2022/06/30 08:25:02 - mmengine - INFO - Epoch(train) [60][780/3757] lr: 1.000e-03 eta: 11:41:31 time: 0.248 data_time: 0.025 memory: 6404 grad_norm: 8.1743 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2671 loss: 1.2671 2022/06/30 08:25:08 - mmengine - INFO - Epoch(train) [60][800/3757] lr: 1.000e-03 eta: 11:41:26 time: 0.245 data_time: 0.014 memory: 6404 grad_norm: 6.6739 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9724 loss: 0.9724 2022/06/30 08:25:13 - mmengine - INFO - Epoch(train) [60][820/3757] lr: 1.000e-03 eta: 11:41:20 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 6.0809 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1478 loss: 1.1478 2022/06/30 08:25:19 - mmengine - INFO - Epoch(train) [60][840/3757] lr: 1.000e-03 eta: 11:41:15 time: 0.247 data_time: 0.036 memory: 6404 grad_norm: 6.7987 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7928 loss: 0.7928 2022/06/30 08:25:24 - mmengine - INFO - Epoch(train) [60][860/3757] lr: 1.000e-03 eta: 11:41:09 time: 0.263 data_time: 0.015 memory: 6404 grad_norm: 7.7946 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3227 loss: 1.3227 2022/06/30 08:25:30 - mmengine - INFO - Epoch(train) [60][880/3757] lr: 1.000e-03 eta: 11:41:04 time: 0.286 data_time: 0.007 memory: 6404 grad_norm: 6.2365 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9669 loss: 0.9669 2022/06/30 08:25:36 - mmengine - INFO - Epoch(train) [60][900/3757] lr: 1.000e-03 eta: 11:40:59 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 8.0845 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5247 loss: 1.5247 2022/06/30 08:25:41 - mmengine - INFO - Epoch(train) [60][920/3757] lr: 1.000e-03 eta: 11:40:53 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 6.7034 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8779 loss: 0.8779 2022/06/30 08:25:46 - mmengine - INFO - Epoch(train) [60][940/3757] lr: 1.000e-03 eta: 11:40:47 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 8.3147 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0977 loss: 1.0977 2022/06/30 08:25:52 - mmengine - INFO - Epoch(train) [60][960/3757] lr: 1.000e-03 eta: 11:40:42 time: 0.275 data_time: 0.014 memory: 6404 grad_norm: 8.0371 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1571 loss: 1.1571 2022/06/30 08:25:57 - mmengine - INFO - Epoch(train) [60][980/3757] lr: 1.000e-03 eta: 11:40:37 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 6.9227 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9657 loss: 0.9657 2022/06/30 08:26:03 - mmengine - INFO - Epoch(train) [60][1000/3757] lr: 1.000e-03 eta: 11:40:31 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 7.4957 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2366 loss: 1.2366 2022/06/30 08:26:08 - mmengine - INFO - Epoch(train) [60][1020/3757] lr: 1.000e-03 eta: 11:40:25 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 7.7609 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0801 loss: 1.0801 2022/06/30 08:26:13 - mmengine - INFO - Epoch(train) [60][1040/3757] lr: 1.000e-03 eta: 11:40:20 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 6.9001 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1669 loss: 1.1669 2022/06/30 08:26:19 - mmengine - INFO - Epoch(train) [60][1060/3757] lr: 1.000e-03 eta: 11:40:14 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 6.7076 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2940 loss: 1.2940 2022/06/30 08:26:24 - mmengine - INFO - Epoch(train) [60][1080/3757] lr: 1.000e-03 eta: 11:40:09 time: 0.253 data_time: 0.016 memory: 6404 grad_norm: 6.7110 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0963 loss: 1.0963 2022/06/30 08:26:29 - mmengine - INFO - Epoch(train) [60][1100/3757] lr: 1.000e-03 eta: 11:40:03 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 7.2274 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8997 loss: 0.8997 2022/06/30 08:26:35 - mmengine - INFO - Epoch(train) [60][1120/3757] lr: 1.000e-03 eta: 11:39:58 time: 0.264 data_time: 0.010 memory: 6404 grad_norm: 6.6682 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2002 loss: 1.2002 2022/06/30 08:26:41 - mmengine - INFO - Epoch(train) [60][1140/3757] lr: 1.000e-03 eta: 11:39:52 time: 0.252 data_time: 0.018 memory: 6404 grad_norm: 8.2997 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4098 loss: 1.4098 2022/06/30 08:26:46 - mmengine - INFO - Epoch(train) [60][1160/3757] lr: 1.000e-03 eta: 11:39:46 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 7.1314 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2665 loss: 1.2665 2022/06/30 08:26:51 - mmengine - INFO - Epoch(train) [60][1180/3757] lr: 1.000e-03 eta: 11:39:41 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.2114 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0909 loss: 1.0909 2022/06/30 08:26:57 - mmengine - INFO - Epoch(train) [60][1200/3757] lr: 1.000e-03 eta: 11:39:35 time: 0.250 data_time: 0.014 memory: 6404 grad_norm: 7.4097 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0646 loss: 1.0646 2022/06/30 08:27:02 - mmengine - INFO - Epoch(train) [60][1220/3757] lr: 1.000e-03 eta: 11:39:30 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 7.5970 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4633 loss: 1.4633 2022/06/30 08:27:08 - mmengine - INFO - Epoch(train) [60][1240/3757] lr: 1.000e-03 eta: 11:39:24 time: 0.260 data_time: 0.018 memory: 6404 grad_norm: 6.7010 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0851 loss: 1.0851 2022/06/30 08:27:13 - mmengine - INFO - Epoch(train) [60][1260/3757] lr: 1.000e-03 eta: 11:39:19 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 9.4414 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2678 loss: 1.2678 2022/06/30 08:27:19 - mmengine - INFO - Epoch(train) [60][1280/3757] lr: 1.000e-03 eta: 11:39:13 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.7049 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2671 loss: 1.2671 2022/06/30 08:27:24 - mmengine - INFO - Epoch(train) [60][1300/3757] lr: 1.000e-03 eta: 11:39:08 time: 0.259 data_time: 0.019 memory: 6404 grad_norm: 7.7096 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2301 loss: 1.2301 2022/06/30 08:27:30 - mmengine - INFO - Epoch(train) [60][1320/3757] lr: 1.000e-03 eta: 11:39:03 time: 0.442 data_time: 0.018 memory: 6404 grad_norm: 8.4024 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2647 loss: 1.2647 2022/06/30 08:27:35 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 08:27:35 - mmengine - INFO - Epoch(train) [60][1340/3757] lr: 1.000e-03 eta: 11:38:57 time: 0.264 data_time: 0.010 memory: 6404 grad_norm: 7.8593 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2495 loss: 1.2495 2022/06/30 08:27:41 - mmengine - INFO - Epoch(train) [60][1360/3757] lr: 1.000e-03 eta: 11:38:51 time: 0.254 data_time: 0.019 memory: 6404 grad_norm: 7.7110 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.3804 loss: 1.3804 2022/06/30 08:27:46 - mmengine - INFO - Epoch(train) [60][1380/3757] lr: 1.000e-03 eta: 11:38:46 time: 0.253 data_time: 0.022 memory: 6404 grad_norm: 7.3940 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1332 loss: 1.1332 2022/06/30 08:27:52 - mmengine - INFO - Epoch(train) [60][1400/3757] lr: 1.000e-03 eta: 11:38:40 time: 0.268 data_time: 0.008 memory: 6404 grad_norm: 7.9064 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2613 loss: 1.2613 2022/06/30 08:27:57 - mmengine - INFO - Epoch(train) [60][1420/3757] lr: 1.000e-03 eta: 11:38:35 time: 0.245 data_time: 0.023 memory: 6404 grad_norm: 7.1319 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1774 loss: 1.1774 2022/06/30 08:28:03 - mmengine - INFO - Epoch(train) [60][1440/3757] lr: 1.000e-03 eta: 11:38:29 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 7.6096 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3473 loss: 1.3473 2022/06/30 08:28:08 - mmengine - INFO - Epoch(train) [60][1460/3757] lr: 1.000e-03 eta: 11:38:24 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 8.0758 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1791 loss: 1.1791 2022/06/30 08:28:14 - mmengine - INFO - Epoch(train) [60][1480/3757] lr: 1.000e-03 eta: 11:38:18 time: 0.256 data_time: 0.030 memory: 6404 grad_norm: 7.1990 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2022 loss: 1.2022 2022/06/30 08:28:20 - mmengine - INFO - Epoch(train) [60][1500/3757] lr: 1.000e-03 eta: 11:38:13 time: 0.240 data_time: 0.015 memory: 6404 grad_norm: 7.7605 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6373 loss: 1.6373 2022/06/30 08:28:25 - mmengine - INFO - Epoch(train) [60][1520/3757] lr: 1.000e-03 eta: 11:38:07 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.4249 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0390 loss: 1.0390 2022/06/30 08:28:30 - mmengine - INFO - Epoch(train) [60][1540/3757] lr: 1.000e-03 eta: 11:38:02 time: 0.636 data_time: 0.010 memory: 6404 grad_norm: 6.4358 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1352 loss: 1.1352 2022/06/30 08:28:36 - mmengine - INFO - Epoch(train) [60][1560/3757] lr: 1.000e-03 eta: 11:37:56 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 7.5800 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6118 loss: 1.6118 2022/06/30 08:28:41 - mmengine - INFO - Epoch(train) [60][1580/3757] lr: 1.000e-03 eta: 11:37:51 time: 0.318 data_time: 0.007 memory: 6404 grad_norm: 7.1817 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4651 loss: 1.4651 2022/06/30 08:28:48 - mmengine - INFO - Epoch(train) [60][1600/3757] lr: 1.000e-03 eta: 11:37:46 time: 0.264 data_time: 0.016 memory: 6404 grad_norm: 7.4040 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3669 loss: 1.3669 2022/06/30 08:28:53 - mmengine - INFO - Epoch(train) [60][1620/3757] lr: 1.000e-03 eta: 11:37:40 time: 0.259 data_time: 0.013 memory: 6404 grad_norm: 7.5197 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6327 loss: 1.6327 2022/06/30 08:28:58 - mmengine - INFO - Epoch(train) [60][1640/3757] lr: 1.000e-03 eta: 11:37:34 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.7990 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0356 loss: 1.0356 2022/06/30 08:29:03 - mmengine - INFO - Epoch(train) [60][1660/3757] lr: 1.000e-03 eta: 11:37:29 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 7.7322 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1308 loss: 1.1308 2022/06/30 08:29:08 - mmengine - INFO - Epoch(train) [60][1680/3757] lr: 1.000e-03 eta: 11:37:23 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 6.8236 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7320 loss: 0.7320 2022/06/30 08:29:13 - mmengine - INFO - Epoch(train) [60][1700/3757] lr: 1.000e-03 eta: 11:37:17 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.4670 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0727 loss: 1.0727 2022/06/30 08:29:19 - mmengine - INFO - Epoch(train) [60][1720/3757] lr: 1.000e-03 eta: 11:37:12 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 7.4744 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3852 loss: 1.3852 2022/06/30 08:29:24 - mmengine - INFO - Epoch(train) [60][1740/3757] lr: 1.000e-03 eta: 11:37:06 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.8779 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3895 loss: 1.3895 2022/06/30 08:29:30 - mmengine - INFO - Epoch(train) [60][1760/3757] lr: 1.000e-03 eta: 11:37:01 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 7.6060 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1210 loss: 1.1210 2022/06/30 08:29:35 - mmengine - INFO - Epoch(train) [60][1780/3757] lr: 1.000e-03 eta: 11:36:55 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 7.8838 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2202 loss: 1.2202 2022/06/30 08:29:42 - mmengine - INFO - Epoch(train) [60][1800/3757] lr: 1.000e-03 eta: 11:36:50 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.5606 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1942 loss: 1.1942 2022/06/30 08:29:47 - mmengine - INFO - Epoch(train) [60][1820/3757] lr: 1.000e-03 eta: 11:36:45 time: 0.237 data_time: 0.011 memory: 6404 grad_norm: 7.2721 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5587 loss: 1.5587 2022/06/30 08:29:53 - mmengine - INFO - Epoch(train) [60][1840/3757] lr: 1.000e-03 eta: 11:36:39 time: 0.258 data_time: 0.017 memory: 6404 grad_norm: 6.3058 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2347 loss: 1.2347 2022/06/30 08:29:58 - mmengine - INFO - Epoch(train) [60][1860/3757] lr: 1.000e-03 eta: 11:36:34 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 6.7659 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1877 loss: 1.1877 2022/06/30 08:30:03 - mmengine - INFO - Epoch(train) [60][1880/3757] lr: 1.000e-03 eta: 11:36:28 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.9648 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4762 loss: 1.4762 2022/06/30 08:30:08 - mmengine - INFO - Epoch(train) [60][1900/3757] lr: 1.000e-03 eta: 11:36:22 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 8.2258 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1331 loss: 1.1331 2022/06/30 08:30:14 - mmengine - INFO - Epoch(train) [60][1920/3757] lr: 1.000e-03 eta: 11:36:17 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 6.5031 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3766 loss: 1.3766 2022/06/30 08:30:20 - mmengine - INFO - Epoch(train) [60][1940/3757] lr: 1.000e-03 eta: 11:36:12 time: 0.278 data_time: 0.007 memory: 6404 grad_norm: 7.5231 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1574 loss: 1.1574 2022/06/30 08:30:26 - mmengine - INFO - Epoch(train) [60][1960/3757] lr: 1.000e-03 eta: 11:36:06 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 8.3351 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2812 loss: 1.2812 2022/06/30 08:30:31 - mmengine - INFO - Epoch(train) [60][1980/3757] lr: 1.000e-03 eta: 11:36:01 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 7.3672 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2156 loss: 1.2156 2022/06/30 08:30:37 - mmengine - INFO - Epoch(train) [60][2000/3757] lr: 1.000e-03 eta: 11:35:55 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 6.1608 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4517 loss: 1.4517 2022/06/30 08:30:42 - mmengine - INFO - Epoch(train) [60][2020/3757] lr: 1.000e-03 eta: 11:35:50 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 8.1092 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0908 loss: 1.0908 2022/06/30 08:30:47 - mmengine - INFO - Epoch(train) [60][2040/3757] lr: 1.000e-03 eta: 11:35:44 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.6116 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3341 loss: 1.3341 2022/06/30 08:30:53 - mmengine - INFO - Epoch(train) [60][2060/3757] lr: 1.000e-03 eta: 11:35:39 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.7455 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9099 loss: 0.9099 2022/06/30 08:30:59 - mmengine - INFO - Epoch(train) [60][2080/3757] lr: 1.000e-03 eta: 11:35:33 time: 0.356 data_time: 0.009 memory: 6404 grad_norm: 8.0900 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1975 loss: 1.1975 2022/06/30 08:31:04 - mmengine - INFO - Epoch(train) [60][2100/3757] lr: 1.000e-03 eta: 11:35:28 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 7.6927 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5908 loss: 1.5908 2022/06/30 08:31:10 - mmengine - INFO - Epoch(train) [60][2120/3757] lr: 1.000e-03 eta: 11:35:23 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 5.8556 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6932 loss: 0.6932 2022/06/30 08:31:15 - mmengine - INFO - Epoch(train) [60][2140/3757] lr: 1.000e-03 eta: 11:35:17 time: 0.271 data_time: 0.006 memory: 6404 grad_norm: 7.4492 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3930 loss: 1.3930 2022/06/30 08:31:21 - mmengine - INFO - Epoch(train) [60][2160/3757] lr: 1.000e-03 eta: 11:35:11 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 6.7313 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3277 loss: 1.3277 2022/06/30 08:31:27 - mmengine - INFO - Epoch(train) [60][2180/3757] lr: 1.000e-03 eta: 11:35:06 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 6.8667 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1215 loss: 1.1215 2022/06/30 08:31:32 - mmengine - INFO - Epoch(train) [60][2200/3757] lr: 1.000e-03 eta: 11:35:00 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 7.7279 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0726 loss: 1.0726 2022/06/30 08:31:37 - mmengine - INFO - Epoch(train) [60][2220/3757] lr: 1.000e-03 eta: 11:34:55 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 6.0455 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1572 loss: 1.1572 2022/06/30 08:31:42 - mmengine - INFO - Epoch(train) [60][2240/3757] lr: 1.000e-03 eta: 11:34:49 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 7.9260 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1907 loss: 1.1907 2022/06/30 08:31:48 - mmengine - INFO - Epoch(train) [60][2260/3757] lr: 1.000e-03 eta: 11:34:43 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 6.7999 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0529 loss: 1.0529 2022/06/30 08:31:53 - mmengine - INFO - Epoch(train) [60][2280/3757] lr: 1.000e-03 eta: 11:34:38 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.7762 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1006 loss: 1.1006 2022/06/30 08:31:58 - mmengine - INFO - Epoch(train) [60][2300/3757] lr: 1.000e-03 eta: 11:34:32 time: 0.258 data_time: 0.016 memory: 6404 grad_norm: 7.3739 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8908 loss: 0.8908 2022/06/30 08:32:04 - mmengine - INFO - Epoch(train) [60][2320/3757] lr: 1.000e-03 eta: 11:34:27 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 9.4427 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6057 loss: 1.6057 2022/06/30 08:32:09 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 08:32:10 - mmengine - INFO - Epoch(train) [60][2340/3757] lr: 1.000e-03 eta: 11:34:22 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 8.1171 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2823 loss: 1.2823 2022/06/30 08:32:15 - mmengine - INFO - Epoch(train) [60][2360/3757] lr: 1.000e-03 eta: 11:34:16 time: 0.246 data_time: 0.017 memory: 6404 grad_norm: 6.0075 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9741 loss: 0.9741 2022/06/30 08:32:21 - mmengine - INFO - Epoch(train) [60][2380/3757] lr: 1.000e-03 eta: 11:34:11 time: 0.263 data_time: 0.013 memory: 6404 grad_norm: 6.9477 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5008 loss: 1.5008 2022/06/30 08:32:26 - mmengine - INFO - Epoch(train) [60][2400/3757] lr: 1.000e-03 eta: 11:34:05 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 7.1491 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2301 loss: 1.2301 2022/06/30 08:32:32 - mmengine - INFO - Epoch(train) [60][2420/3757] lr: 1.000e-03 eta: 11:33:59 time: 0.245 data_time: 0.030 memory: 6404 grad_norm: 6.6698 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9628 loss: 0.9628 2022/06/30 08:32:37 - mmengine - INFO - Epoch(train) [60][2440/3757] lr: 1.000e-03 eta: 11:33:54 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.7442 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1153 loss: 1.1153 2022/06/30 08:32:43 - mmengine - INFO - Epoch(train) [60][2460/3757] lr: 1.000e-03 eta: 11:33:48 time: 0.526 data_time: 0.008 memory: 6404 grad_norm: 7.3936 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9944 loss: 0.9944 2022/06/30 08:32:48 - mmengine - INFO - Epoch(train) [60][2480/3757] lr: 1.000e-03 eta: 11:33:43 time: 0.239 data_time: 0.015 memory: 6404 grad_norm: 8.3512 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2094 loss: 1.2094 2022/06/30 08:32:54 - mmengine - INFO - Epoch(train) [60][2500/3757] lr: 1.000e-03 eta: 11:33:37 time: 0.270 data_time: 0.007 memory: 6404 grad_norm: 8.8199 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1264 loss: 1.1264 2022/06/30 08:33:00 - mmengine - INFO - Epoch(train) [60][2520/3757] lr: 1.000e-03 eta: 11:33:32 time: 0.521 data_time: 0.007 memory: 6404 grad_norm: 6.9097 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1985 loss: 1.1985 2022/06/30 08:33:05 - mmengine - INFO - Epoch(train) [60][2540/3757] lr: 1.000e-03 eta: 11:33:27 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 7.9228 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4328 loss: 1.4328 2022/06/30 08:33:10 - mmengine - INFO - Epoch(train) [60][2560/3757] lr: 1.000e-03 eta: 11:33:21 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 6.1768 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3119 loss: 1.3119 2022/06/30 08:33:16 - mmengine - INFO - Epoch(train) [60][2580/3757] lr: 1.000e-03 eta: 11:33:15 time: 0.333 data_time: 0.009 memory: 6404 grad_norm: 8.0658 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5818 loss: 1.5818 2022/06/30 08:33:21 - mmengine - INFO - Epoch(train) [60][2600/3757] lr: 1.000e-03 eta: 11:33:10 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 8.8637 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5895 loss: 1.5895 2022/06/30 08:33:27 - mmengine - INFO - Epoch(train) [60][2620/3757] lr: 1.000e-03 eta: 11:33:05 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 6.1775 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0443 loss: 1.0443 2022/06/30 08:33:32 - mmengine - INFO - Epoch(train) [60][2640/3757] lr: 1.000e-03 eta: 11:32:59 time: 0.272 data_time: 0.007 memory: 6404 grad_norm: 7.6236 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3469 loss: 1.3469 2022/06/30 08:33:37 - mmengine - INFO - Epoch(train) [60][2660/3757] lr: 1.000e-03 eta: 11:32:53 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 6.0242 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0562 loss: 1.0562 2022/06/30 08:33:43 - mmengine - INFO - Epoch(train) [60][2680/3757] lr: 1.000e-03 eta: 11:32:48 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 7.0719 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3224 loss: 1.3224 2022/06/30 08:33:49 - mmengine - INFO - Epoch(train) [60][2700/3757] lr: 1.000e-03 eta: 11:32:42 time: 0.269 data_time: 0.012 memory: 6404 grad_norm: 7.0699 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6873 loss: 1.6873 2022/06/30 08:33:54 - mmengine - INFO - Epoch(train) [60][2720/3757] lr: 1.000e-03 eta: 11:32:37 time: 0.250 data_time: 0.016 memory: 6404 grad_norm: 7.6341 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2630 loss: 1.2630 2022/06/30 08:33:59 - mmengine - INFO - Epoch(train) [60][2740/3757] lr: 1.000e-03 eta: 11:32:31 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 9.2360 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2906 loss: 1.2906 2022/06/30 08:34:05 - mmengine - INFO - Epoch(train) [60][2760/3757] lr: 1.000e-03 eta: 11:32:26 time: 0.302 data_time: 0.022 memory: 6404 grad_norm: 7.2131 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.5713 loss: 1.5713 2022/06/30 08:34:11 - mmengine - INFO - Epoch(train) [60][2780/3757] lr: 1.000e-03 eta: 11:32:21 time: 0.464 data_time: 0.008 memory: 6404 grad_norm: 6.6481 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4973 loss: 1.4973 2022/06/30 08:34:16 - mmengine - INFO - Epoch(train) [60][2800/3757] lr: 1.000e-03 eta: 11:32:15 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 8.0830 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3778 loss: 1.3778 2022/06/30 08:34:22 - mmengine - INFO - Epoch(train) [60][2820/3757] lr: 1.000e-03 eta: 11:32:10 time: 0.680 data_time: 0.012 memory: 6404 grad_norm: 7.2438 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2897 loss: 1.2897 2022/06/30 08:34:27 - mmengine - INFO - Epoch(train) [60][2840/3757] lr: 1.000e-03 eta: 11:32:04 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 7.2816 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1088 loss: 1.1088 2022/06/30 08:34:33 - mmengine - INFO - Epoch(train) [60][2860/3757] lr: 1.000e-03 eta: 11:31:59 time: 0.295 data_time: 0.007 memory: 6404 grad_norm: 7.0700 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0108 loss: 1.0108 2022/06/30 08:34:38 - mmengine - INFO - Epoch(train) [60][2880/3757] lr: 1.000e-03 eta: 11:31:53 time: 0.294 data_time: 0.007 memory: 6404 grad_norm: 7.0227 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2933 loss: 1.2933 2022/06/30 08:34:44 - mmengine - INFO - Epoch(train) [60][2900/3757] lr: 1.000e-03 eta: 11:31:47 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.4453 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0359 loss: 1.0359 2022/06/30 08:34:49 - mmengine - INFO - Epoch(train) [60][2920/3757] lr: 1.000e-03 eta: 11:31:42 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 6.5294 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2673 loss: 1.2673 2022/06/30 08:34:54 - mmengine - INFO - Epoch(train) [60][2940/3757] lr: 1.000e-03 eta: 11:31:36 time: 0.297 data_time: 0.007 memory: 6404 grad_norm: 6.5205 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9826 loss: 0.9826 2022/06/30 08:34:59 - mmengine - INFO - Epoch(train) [60][2960/3757] lr: 1.000e-03 eta: 11:31:30 time: 0.258 data_time: 0.017 memory: 6404 grad_norm: 6.2183 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2045 loss: 1.2045 2022/06/30 08:35:05 - mmengine - INFO - Epoch(train) [60][2980/3757] lr: 1.000e-03 eta: 11:31:25 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 7.5293 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0431 loss: 1.0431 2022/06/30 08:35:11 - mmengine - INFO - Epoch(train) [60][3000/3757] lr: 1.000e-03 eta: 11:31:20 time: 0.338 data_time: 0.061 memory: 6404 grad_norm: 7.2308 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3266 loss: 1.3266 2022/06/30 08:35:17 - mmengine - INFO - Epoch(train) [60][3020/3757] lr: 1.000e-03 eta: 11:31:15 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 7.8544 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5304 loss: 1.5304 2022/06/30 08:35:22 - mmengine - INFO - Epoch(train) [60][3040/3757] lr: 1.000e-03 eta: 11:31:09 time: 0.303 data_time: 0.012 memory: 6404 grad_norm: 6.2395 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2223 loss: 1.2223 2022/06/30 08:35:28 - mmengine - INFO - Epoch(train) [60][3060/3757] lr: 1.000e-03 eta: 11:31:03 time: 0.266 data_time: 0.023 memory: 6404 grad_norm: 7.1447 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1605 loss: 1.1605 2022/06/30 08:35:33 - mmengine - INFO - Epoch(train) [60][3080/3757] lr: 1.000e-03 eta: 11:30:58 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 8.8244 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9711 loss: 0.9711 2022/06/30 08:35:39 - mmengine - INFO - Epoch(train) [60][3100/3757] lr: 1.000e-03 eta: 11:30:53 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 7.5145 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2600 loss: 1.2600 2022/06/30 08:35:44 - mmengine - INFO - Epoch(train) [60][3120/3757] lr: 1.000e-03 eta: 11:30:47 time: 0.260 data_time: 0.014 memory: 6404 grad_norm: 6.9960 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0763 loss: 1.0763 2022/06/30 08:35:50 - mmengine - INFO - Epoch(train) [60][3140/3757] lr: 1.000e-03 eta: 11:30:42 time: 0.251 data_time: 0.015 memory: 6404 grad_norm: 6.6875 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4911 loss: 1.4911 2022/06/30 08:35:55 - mmengine - INFO - Epoch(train) [60][3160/3757] lr: 1.000e-03 eta: 11:30:36 time: 0.277 data_time: 0.011 memory: 6404 grad_norm: 7.3582 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9001 loss: 0.9001 2022/06/30 08:36:01 - mmengine - INFO - Epoch(train) [60][3180/3757] lr: 1.000e-03 eta: 11:30:30 time: 0.265 data_time: 0.014 memory: 6404 grad_norm: 7.3616 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4519 loss: 1.4519 2022/06/30 08:36:06 - mmengine - INFO - Epoch(train) [60][3200/3757] lr: 1.000e-03 eta: 11:30:25 time: 0.263 data_time: 0.008 memory: 6404 grad_norm: 7.8371 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4453 loss: 1.4453 2022/06/30 08:36:12 - mmengine - INFO - Epoch(train) [60][3220/3757] lr: 1.000e-03 eta: 11:30:20 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 7.0771 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5301 loss: 1.5301 2022/06/30 08:36:17 - mmengine - INFO - Epoch(train) [60][3240/3757] lr: 1.000e-03 eta: 11:30:14 time: 0.249 data_time: 0.023 memory: 6404 grad_norm: 7.5938 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3268 loss: 1.3268 2022/06/30 08:36:23 - mmengine - INFO - Epoch(train) [60][3260/3757] lr: 1.000e-03 eta: 11:30:08 time: 0.253 data_time: 0.018 memory: 6404 grad_norm: 6.4847 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9965 loss: 0.9965 2022/06/30 08:36:28 - mmengine - INFO - Epoch(train) [60][3280/3757] lr: 1.000e-03 eta: 11:30:03 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.8442 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2622 loss: 1.2622 2022/06/30 08:36:33 - mmengine - INFO - Epoch(train) [60][3300/3757] lr: 1.000e-03 eta: 11:29:57 time: 0.247 data_time: 0.021 memory: 6404 grad_norm: 7.1930 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3339 loss: 1.3339 2022/06/30 08:36:39 - mmengine - INFO - Epoch(train) [60][3320/3757] lr: 1.000e-03 eta: 11:29:52 time: 0.251 data_time: 0.022 memory: 6404 grad_norm: 7.3076 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3800 loss: 1.3800 2022/06/30 08:36:44 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 08:36:45 - mmengine - INFO - Epoch(train) [60][3340/3757] lr: 1.000e-03 eta: 11:29:47 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 6.6121 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2443 loss: 1.2443 2022/06/30 08:36:50 - mmengine - INFO - Epoch(train) [60][3360/3757] lr: 1.000e-03 eta: 11:29:41 time: 0.259 data_time: 0.045 memory: 6404 grad_norm: 8.7355 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4162 loss: 1.4162 2022/06/30 08:36:55 - mmengine - INFO - Epoch(train) [60][3380/3757] lr: 1.000e-03 eta: 11:29:35 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 7.6152 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3506 loss: 1.3506 2022/06/30 08:37:01 - mmengine - INFO - Epoch(train) [60][3400/3757] lr: 1.000e-03 eta: 11:29:30 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.1292 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4239 loss: 1.4239 2022/06/30 08:37:06 - mmengine - INFO - Epoch(train) [60][3420/3757] lr: 1.000e-03 eta: 11:29:24 time: 0.258 data_time: 0.025 memory: 6404 grad_norm: 6.1191 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1035 loss: 1.1035 2022/06/30 08:37:12 - mmengine - INFO - Epoch(train) [60][3440/3757] lr: 1.000e-03 eta: 11:29:19 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 7.6206 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3891 loss: 1.3891 2022/06/30 08:37:17 - mmengine - INFO - Epoch(train) [60][3460/3757] lr: 1.000e-03 eta: 11:29:13 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 7.8814 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1323 loss: 1.1323 2022/06/30 08:37:23 - mmengine - INFO - Epoch(train) [60][3480/3757] lr: 1.000e-03 eta: 11:29:08 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 9.1128 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4208 loss: 1.4208 2022/06/30 08:37:28 - mmengine - INFO - Epoch(train) [60][3500/3757] lr: 1.000e-03 eta: 11:29:02 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 8.4287 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2486 loss: 1.2486 2022/06/30 08:37:34 - mmengine - INFO - Epoch(train) [60][3520/3757] lr: 1.000e-03 eta: 11:28:57 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 7.4809 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2055 loss: 1.2055 2022/06/30 08:37:39 - mmengine - INFO - Epoch(train) [60][3540/3757] lr: 1.000e-03 eta: 11:28:51 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 8.9449 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4204 loss: 1.4204 2022/06/30 08:37:45 - mmengine - INFO - Epoch(train) [60][3560/3757] lr: 1.000e-03 eta: 11:28:46 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 6.5268 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9349 loss: 0.9349 2022/06/30 08:37:51 - mmengine - INFO - Epoch(train) [60][3580/3757] lr: 1.000e-03 eta: 11:28:41 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 7.3282 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1131 loss: 1.1131 2022/06/30 08:37:57 - mmengine - INFO - Epoch(train) [60][3600/3757] lr: 1.000e-03 eta: 11:28:35 time: 0.252 data_time: 0.016 memory: 6404 grad_norm: 8.5302 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1002 loss: 1.1002 2022/06/30 08:38:02 - mmengine - INFO - Epoch(train) [60][3620/3757] lr: 1.000e-03 eta: 11:28:30 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 8.0148 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2554 loss: 1.2554 2022/06/30 08:38:07 - mmengine - INFO - Epoch(train) [60][3640/3757] lr: 1.000e-03 eta: 11:28:24 time: 0.260 data_time: 0.014 memory: 6404 grad_norm: 6.7608 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8534 loss: 0.8534 2022/06/30 08:38:13 - mmengine - INFO - Epoch(train) [60][3660/3757] lr: 1.000e-03 eta: 11:28:19 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 7.3111 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6753 loss: 1.6753 2022/06/30 08:38:18 - mmengine - INFO - Epoch(train) [60][3680/3757] lr: 1.000e-03 eta: 11:28:13 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 7.4074 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2262 loss: 1.2262 2022/06/30 08:38:24 - mmengine - INFO - Epoch(train) [60][3700/3757] lr: 1.000e-03 eta: 11:28:08 time: 0.252 data_time: 0.019 memory: 6404 grad_norm: 6.8840 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2858 loss: 1.2858 2022/06/30 08:38:29 - mmengine - INFO - Epoch(train) [60][3720/3757] lr: 1.000e-03 eta: 11:28:02 time: 0.254 data_time: 0.017 memory: 6404 grad_norm: 6.4615 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1090 loss: 1.1090 2022/06/30 08:38:35 - mmengine - INFO - Epoch(train) [60][3740/3757] lr: 1.000e-03 eta: 11:27:56 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 7.7225 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3926 loss: 1.3926 2022/06/30 08:38:39 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 08:38:39 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/06/30 08:38:50 - mmengine - INFO - Epoch(val) [60][20/310] eta: 0:01:29 time: 0.086 data_time: 0.010 memory: 6404 2022/06/30 08:38:56 - mmengine - INFO - Epoch(val) [60][40/310] eta: 0:01:23 time: 0.229 data_time: 0.157 memory: 1479 2022/06/30 08:39:00 - mmengine - INFO - Epoch(val) [60][60/310] eta: 0:00:22 time: 0.083 data_time: 0.008 memory: 1479 2022/06/30 08:39:06 - mmengine - INFO - Epoch(val) [60][80/310] eta: 0:01:12 time: 0.096 data_time: 0.017 memory: 1479 2022/06/30 08:39:12 - mmengine - INFO - Epoch(val) [60][100/310] eta: 0:01:03 time: 0.344 data_time: 0.263 memory: 1479 2022/06/30 08:39:15 - mmengine - INFO - Epoch(val) [60][120/310] eta: 0:00:21 time: 0.077 data_time: 0.005 memory: 1479 2022/06/30 08:39:22 - mmengine - INFO - Epoch(val) [60][140/310] eta: 0:00:52 time: 0.082 data_time: 0.007 memory: 1479 2022/06/30 08:39:28 - mmengine - INFO - Epoch(val) [60][160/310] eta: 0:00:48 time: 1.298 data_time: 1.227 memory: 1479 2022/06/30 08:39:32 - mmengine - INFO - Epoch(val) [60][180/310] eta: 0:00:31 time: 0.094 data_time: 0.007 memory: 1479 2022/06/30 08:39:38 - mmengine - INFO - Epoch(val) [60][200/310] eta: 0:00:33 time: 0.089 data_time: 0.007 memory: 1479 2022/06/30 08:39:44 - mmengine - INFO - Epoch(val) [60][220/310] eta: 0:00:25 time: 0.947 data_time: 0.861 memory: 1479 2022/06/30 08:39:48 - mmengine - INFO - Epoch(val) [60][240/310] eta: 0:00:19 time: 0.083 data_time: 0.007 memory: 1479 2022/06/30 08:39:54 - mmengine - INFO - Epoch(val) [60][260/310] eta: 0:00:15 time: 0.123 data_time: 0.006 memory: 1479 2022/06/30 08:39:59 - mmengine - INFO - Epoch(val) [60][280/310] eta: 0:00:07 time: 0.705 data_time: 0.631 memory: 1479 2022/06/30 08:40:01 - mmengine - INFO - Epoch(val) [60][300/310] eta: 0:00:01 time: 0.074 data_time: 0.005 memory: 1479 2022/06/30 08:40:03 - mmengine - INFO - Epoch(val) [60][310/310] acc/top1: 0.6606 acc/top5: 0.8659 acc/mean1: 0.6605 2022/06/30 08:40:12 - mmengine - INFO - Epoch(train) [61][20/3757] lr: 1.000e-03 eta: 11:27:47 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 7.5527 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0930 loss: 1.0930 2022/06/30 08:40:18 - mmengine - INFO - Epoch(train) [61][40/3757] lr: 1.000e-03 eta: 11:27:42 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 7.6414 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2955 loss: 1.2955 2022/06/30 08:40:24 - mmengine - INFO - Epoch(train) [61][60/3757] lr: 1.000e-03 eta: 11:27:36 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 8.2736 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2071 loss: 1.2071 2022/06/30 08:40:30 - mmengine - INFO - Epoch(train) [61][80/3757] lr: 1.000e-03 eta: 11:27:31 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 6.8576 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5850 loss: 1.5850 2022/06/30 08:40:35 - mmengine - INFO - Epoch(train) [61][100/3757] lr: 1.000e-03 eta: 11:27:26 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 6.3580 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1590 loss: 1.1590 2022/06/30 08:40:40 - mmengine - INFO - Epoch(train) [61][120/3757] lr: 1.000e-03 eta: 11:27:20 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 8.5993 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4172 loss: 1.4172 2022/06/30 08:40:46 - mmengine - INFO - Epoch(train) [61][140/3757] lr: 1.000e-03 eta: 11:27:14 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 7.3951 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2318 loss: 1.2318 2022/06/30 08:40:52 - mmengine - INFO - Epoch(train) [61][160/3757] lr: 1.000e-03 eta: 11:27:09 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 7.6761 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2146 loss: 1.2146 2022/06/30 08:40:57 - mmengine - INFO - Epoch(train) [61][180/3757] lr: 1.000e-03 eta: 11:27:04 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 7.5444 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3499 loss: 1.3499 2022/06/30 08:41:03 - mmengine - INFO - Epoch(train) [61][200/3757] lr: 1.000e-03 eta: 11:26:59 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.2563 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2222 loss: 1.2222 2022/06/30 08:41:08 - mmengine - INFO - Epoch(train) [61][220/3757] lr: 1.000e-03 eta: 11:26:53 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 7.2313 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6381 loss: 1.6381 2022/06/30 08:41:14 - mmengine - INFO - Epoch(train) [61][240/3757] lr: 1.000e-03 eta: 11:26:47 time: 0.255 data_time: 0.012 memory: 6404 grad_norm: 8.1308 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2136 loss: 1.2136 2022/06/30 08:41:19 - mmengine - INFO - Epoch(train) [61][260/3757] lr: 1.000e-03 eta: 11:26:41 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.2641 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1273 loss: 1.1273 2022/06/30 08:41:24 - mmengine - INFO - Epoch(train) [61][280/3757] lr: 1.000e-03 eta: 11:26:36 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 7.1389 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2999 loss: 1.2999 2022/06/30 08:41:30 - mmengine - INFO - Epoch(train) [61][300/3757] lr: 1.000e-03 eta: 11:26:31 time: 0.252 data_time: 0.017 memory: 6404 grad_norm: 8.5746 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1138 loss: 1.1138 2022/06/30 08:41:35 - mmengine - INFO - Epoch(train) [61][320/3757] lr: 1.000e-03 eta: 11:26:25 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 7.6862 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2906 loss: 1.2906 2022/06/30 08:41:41 - mmengine - INFO - Epoch(train) [61][340/3757] lr: 1.000e-03 eta: 11:26:19 time: 0.323 data_time: 0.007 memory: 6404 grad_norm: 7.7819 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3689 loss: 1.3689 2022/06/30 08:41:46 - mmengine - INFO - Epoch(train) [61][360/3757] lr: 1.000e-03 eta: 11:26:14 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 6.3014 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1510 loss: 1.1510 2022/06/30 08:41:52 - mmengine - INFO - Epoch(train) [61][380/3757] lr: 1.000e-03 eta: 11:26:08 time: 0.293 data_time: 0.009 memory: 6404 grad_norm: 8.6013 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4533 loss: 1.4533 2022/06/30 08:41:57 - mmengine - INFO - Epoch(train) [61][400/3757] lr: 1.000e-03 eta: 11:26:03 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 6.3237 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6090 loss: 1.6090 2022/06/30 08:42:03 - mmengine - INFO - Epoch(train) [61][420/3757] lr: 1.000e-03 eta: 11:25:58 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 8.8756 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1022 loss: 1.1022 2022/06/30 08:42:09 - mmengine - INFO - Epoch(train) [61][440/3757] lr: 1.000e-03 eta: 11:25:52 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 6.5661 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3267 loss: 1.3267 2022/06/30 08:42:14 - mmengine - INFO - Epoch(train) [61][460/3757] lr: 1.000e-03 eta: 11:25:46 time: 0.282 data_time: 0.006 memory: 6404 grad_norm: 8.7658 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5985 loss: 1.5985 2022/06/30 08:42:20 - mmengine - INFO - Epoch(train) [61][480/3757] lr: 1.000e-03 eta: 11:25:41 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 7.9883 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1929 loss: 1.1929 2022/06/30 08:42:25 - mmengine - INFO - Epoch(train) [61][500/3757] lr: 1.000e-03 eta: 11:25:36 time: 0.248 data_time: 0.019 memory: 6404 grad_norm: 7.3368 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4356 loss: 1.4356 2022/06/30 08:42:31 - mmengine - INFO - Epoch(train) [61][520/3757] lr: 1.000e-03 eta: 11:25:30 time: 0.271 data_time: 0.007 memory: 6404 grad_norm: 8.8671 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1379 loss: 1.1379 2022/06/30 08:42:36 - mmengine - INFO - Epoch(train) [61][540/3757] lr: 1.000e-03 eta: 11:25:25 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 6.7800 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4054 loss: 1.4054 2022/06/30 08:42:42 - mmengine - INFO - Epoch(train) [61][560/3757] lr: 1.000e-03 eta: 11:25:19 time: 0.278 data_time: 0.014 memory: 6404 grad_norm: 8.2249 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1413 loss: 1.1413 2022/06/30 08:42:47 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 08:42:47 - mmengine - INFO - Epoch(train) [61][580/3757] lr: 1.000e-03 eta: 11:25:14 time: 0.328 data_time: 0.016 memory: 6404 grad_norm: 7.1585 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5840 loss: 1.5840 2022/06/30 08:42:53 - mmengine - INFO - Epoch(train) [61][600/3757] lr: 1.000e-03 eta: 11:25:08 time: 0.259 data_time: 0.015 memory: 6404 grad_norm: 7.5236 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3682 loss: 1.3682 2022/06/30 08:42:58 - mmengine - INFO - Epoch(train) [61][620/3757] lr: 1.000e-03 eta: 11:25:03 time: 0.260 data_time: 0.016 memory: 6404 grad_norm: 7.6207 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3314 loss: 1.3314 2022/06/30 08:43:04 - mmengine - INFO - Epoch(train) [61][640/3757] lr: 1.000e-03 eta: 11:24:57 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 7.8766 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3544 loss: 1.3544 2022/06/30 08:43:09 - mmengine - INFO - Epoch(train) [61][660/3757] lr: 1.000e-03 eta: 11:24:52 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 7.0019 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9854 loss: 0.9854 2022/06/30 08:43:15 - mmengine - INFO - Epoch(train) [61][680/3757] lr: 1.000e-03 eta: 11:24:46 time: 0.247 data_time: 0.021 memory: 6404 grad_norm: 6.5239 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4227 loss: 1.4227 2022/06/30 08:43:20 - mmengine - INFO - Epoch(train) [61][700/3757] lr: 1.000e-03 eta: 11:24:41 time: 0.255 data_time: 0.019 memory: 6404 grad_norm: 8.1165 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0606 loss: 1.0606 2022/06/30 08:43:26 - mmengine - INFO - Epoch(train) [61][720/3757] lr: 1.000e-03 eta: 11:24:35 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 6.3745 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2960 loss: 1.2960 2022/06/30 08:43:31 - mmengine - INFO - Epoch(train) [61][740/3757] lr: 1.000e-03 eta: 11:24:30 time: 0.263 data_time: 0.071 memory: 6404 grad_norm: 5.7107 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9944 loss: 0.9944 2022/06/30 08:43:37 - mmengine - INFO - Epoch(train) [61][760/3757] lr: 1.000e-03 eta: 11:24:25 time: 0.276 data_time: 0.024 memory: 6404 grad_norm: 8.0316 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3035 loss: 1.3035 2022/06/30 08:43:42 - mmengine - INFO - Epoch(train) [61][780/3757] lr: 1.000e-03 eta: 11:24:19 time: 0.246 data_time: 0.013 memory: 6404 grad_norm: 6.0458 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9957 loss: 0.9957 2022/06/30 08:43:48 - mmengine - INFO - Epoch(train) [61][800/3757] lr: 1.000e-03 eta: 11:24:13 time: 0.255 data_time: 0.026 memory: 6404 grad_norm: 8.5205 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4986 loss: 1.4986 2022/06/30 08:43:53 - mmengine - INFO - Epoch(train) [61][820/3757] lr: 1.000e-03 eta: 11:24:08 time: 0.264 data_time: 0.027 memory: 6404 grad_norm: 5.9958 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2419 loss: 1.2419 2022/06/30 08:43:58 - mmengine - INFO - Epoch(train) [61][840/3757] lr: 1.000e-03 eta: 11:24:02 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 7.6486 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5188 loss: 1.5188 2022/06/30 08:44:04 - mmengine - INFO - Epoch(train) [61][860/3757] lr: 1.000e-03 eta: 11:23:57 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.3060 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0902 loss: 1.0902 2022/06/30 08:44:10 - mmengine - INFO - Epoch(train) [61][880/3757] lr: 1.000e-03 eta: 11:23:51 time: 0.654 data_time: 0.097 memory: 6404 grad_norm: 7.9738 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0767 loss: 1.0767 2022/06/30 08:44:15 - mmengine - INFO - Epoch(train) [61][900/3757] lr: 1.000e-03 eta: 11:23:46 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 7.1934 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3302 loss: 1.3302 2022/06/30 08:44:21 - mmengine - INFO - Epoch(train) [61][920/3757] lr: 1.000e-03 eta: 11:23:40 time: 0.242 data_time: 0.011 memory: 6404 grad_norm: 7.1634 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3916 loss: 1.3916 2022/06/30 08:44:26 - mmengine - INFO - Epoch(train) [61][940/3757] lr: 1.000e-03 eta: 11:23:35 time: 0.266 data_time: 0.047 memory: 6404 grad_norm: 8.9577 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1285 loss: 1.1285 2022/06/30 08:44:31 - mmengine - INFO - Epoch(train) [61][960/3757] lr: 1.000e-03 eta: 11:23:29 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 8.2567 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6461 loss: 1.6461 2022/06/30 08:44:36 - mmengine - INFO - Epoch(train) [61][980/3757] lr: 1.000e-03 eta: 11:23:23 time: 0.249 data_time: 0.017 memory: 6404 grad_norm: 6.5250 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3887 loss: 1.3887 2022/06/30 08:44:42 - mmengine - INFO - Epoch(train) [61][1000/3757] lr: 1.000e-03 eta: 11:23:18 time: 0.530 data_time: 0.335 memory: 6404 grad_norm: 6.7682 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9796 loss: 0.9796 2022/06/30 08:44:48 - mmengine - INFO - Epoch(train) [61][1020/3757] lr: 1.000e-03 eta: 11:23:12 time: 0.259 data_time: 0.015 memory: 6404 grad_norm: 6.7838 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2800 loss: 1.2800 2022/06/30 08:44:53 - mmengine - INFO - Epoch(train) [61][1040/3757] lr: 1.000e-03 eta: 11:23:07 time: 0.267 data_time: 0.009 memory: 6404 grad_norm: 5.3526 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8744 loss: 0.8744 2022/06/30 08:44:58 - mmengine - INFO - Epoch(train) [61][1060/3757] lr: 1.000e-03 eta: 11:23:01 time: 0.352 data_time: 0.149 memory: 6404 grad_norm: 7.4188 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5417 loss: 1.5417 2022/06/30 08:45:04 - mmengine - INFO - Epoch(train) [61][1080/3757] lr: 1.000e-03 eta: 11:22:56 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 9.0427 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3719 loss: 1.3719 2022/06/30 08:45:09 - mmengine - INFO - Epoch(train) [61][1100/3757] lr: 1.000e-03 eta: 11:22:50 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 7.2694 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4693 loss: 1.4693 2022/06/30 08:45:15 - mmengine - INFO - Epoch(train) [61][1120/3757] lr: 1.000e-03 eta: 11:22:45 time: 0.244 data_time: 0.014 memory: 6404 grad_norm: 7.5058 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3985 loss: 1.3985 2022/06/30 08:45:20 - mmengine - INFO - Epoch(train) [61][1140/3757] lr: 1.000e-03 eta: 11:22:39 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 7.0383 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1942 loss: 1.1942 2022/06/30 08:45:26 - mmengine - INFO - Epoch(train) [61][1160/3757] lr: 1.000e-03 eta: 11:22:34 time: 0.267 data_time: 0.014 memory: 6404 grad_norm: 7.4410 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2022 loss: 1.2022 2022/06/30 08:45:31 - mmengine - INFO - Epoch(train) [61][1180/3757] lr: 1.000e-03 eta: 11:22:28 time: 0.362 data_time: 0.170 memory: 6404 grad_norm: 7.4833 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9538 loss: 0.9538 2022/06/30 08:45:37 - mmengine - INFO - Epoch(train) [61][1200/3757] lr: 1.000e-03 eta: 11:22:23 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 9.5613 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4773 loss: 1.4773 2022/06/30 08:45:42 - mmengine - INFO - Epoch(train) [61][1220/3757] lr: 1.000e-03 eta: 11:22:17 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 7.3726 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3446 loss: 1.3446 2022/06/30 08:45:48 - mmengine - INFO - Epoch(train) [61][1240/3757] lr: 1.000e-03 eta: 11:22:12 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 6.9952 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3569 loss: 1.3569 2022/06/30 08:45:53 - mmengine - INFO - Epoch(train) [61][1260/3757] lr: 1.000e-03 eta: 11:22:06 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 5.9429 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9563 loss: 0.9563 2022/06/30 08:45:59 - mmengine - INFO - Epoch(train) [61][1280/3757] lr: 1.000e-03 eta: 11:22:01 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 6.2349 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5041 loss: 1.5041 2022/06/30 08:46:04 - mmengine - INFO - Epoch(train) [61][1300/3757] lr: 1.000e-03 eta: 11:21:55 time: 0.250 data_time: 0.014 memory: 6404 grad_norm: 8.2908 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3607 loss: 1.3607 2022/06/30 08:46:09 - mmengine - INFO - Epoch(train) [61][1320/3757] lr: 1.000e-03 eta: 11:21:49 time: 0.244 data_time: 0.014 memory: 6404 grad_norm: 7.0802 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1492 loss: 1.1492 2022/06/30 08:46:15 - mmengine - INFO - Epoch(train) [61][1340/3757] lr: 1.000e-03 eta: 11:21:44 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 7.8790 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2866 loss: 1.2866 2022/06/30 08:46:20 - mmengine - INFO - Epoch(train) [61][1360/3757] lr: 1.000e-03 eta: 11:21:38 time: 0.246 data_time: 0.016 memory: 6404 grad_norm: 6.9733 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4171 loss: 1.4171 2022/06/30 08:46:26 - mmengine - INFO - Epoch(train) [61][1380/3757] lr: 1.000e-03 eta: 11:21:33 time: 0.251 data_time: 0.016 memory: 6404 grad_norm: 8.0054 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9128 loss: 0.9128 2022/06/30 08:46:32 - mmengine - INFO - Epoch(train) [61][1400/3757] lr: 1.000e-03 eta: 11:21:28 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.1129 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3453 loss: 1.3453 2022/06/30 08:46:37 - mmengine - INFO - Epoch(train) [61][1420/3757] lr: 1.000e-03 eta: 11:21:22 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 9.6689 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1623 loss: 1.1623 2022/06/30 08:46:43 - mmengine - INFO - Epoch(train) [61][1440/3757] lr: 1.000e-03 eta: 11:21:17 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 6.8075 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9354 loss: 0.9354 2022/06/30 08:46:48 - mmengine - INFO - Epoch(train) [61][1460/3757] lr: 1.000e-03 eta: 11:21:11 time: 0.260 data_time: 0.009 memory: 6404 grad_norm: 6.4891 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2619 loss: 1.2619 2022/06/30 08:46:54 - mmengine - INFO - Epoch(train) [61][1480/3757] lr: 1.000e-03 eta: 11:21:06 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 8.1291 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4491 loss: 1.4491 2022/06/30 08:46:59 - mmengine - INFO - Epoch(train) [61][1500/3757] lr: 1.000e-03 eta: 11:21:00 time: 0.261 data_time: 0.015 memory: 6404 grad_norm: 6.8530 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6139 loss: 1.6139 2022/06/30 08:47:04 - mmengine - INFO - Epoch(train) [61][1520/3757] lr: 1.000e-03 eta: 11:20:54 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 7.8663 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2038 loss: 1.2038 2022/06/30 08:47:10 - mmengine - INFO - Epoch(train) [61][1540/3757] lr: 1.000e-03 eta: 11:20:49 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 6.6269 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1958 loss: 1.1958 2022/06/30 08:47:15 - mmengine - INFO - Epoch(train) [61][1560/3757] lr: 1.000e-03 eta: 11:20:43 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 6.4884 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1698 loss: 1.1698 2022/06/30 08:47:20 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 08:47:20 - mmengine - INFO - Epoch(train) [61][1580/3757] lr: 1.000e-03 eta: 11:20:38 time: 0.244 data_time: 0.012 memory: 6404 grad_norm: 7.4537 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6790 loss: 1.6790 2022/06/30 08:47:26 - mmengine - INFO - Epoch(train) [61][1600/3757] lr: 1.000e-03 eta: 11:20:32 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 7.3216 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9961 loss: 0.9961 2022/06/30 08:47:32 - mmengine - INFO - Epoch(train) [61][1620/3757] lr: 1.000e-03 eta: 11:20:27 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 6.9198 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2875 loss: 1.2875 2022/06/30 08:47:37 - mmengine - INFO - Epoch(train) [61][1640/3757] lr: 1.000e-03 eta: 11:20:21 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 8.3220 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5208 loss: 1.5208 2022/06/30 08:47:42 - mmengine - INFO - Epoch(train) [61][1660/3757] lr: 1.000e-03 eta: 11:20:16 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 7.6801 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1202 loss: 1.1202 2022/06/30 08:47:48 - mmengine - INFO - Epoch(train) [61][1680/3757] lr: 1.000e-03 eta: 11:20:10 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 9.1583 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3667 loss: 1.3667 2022/06/30 08:47:53 - mmengine - INFO - Epoch(train) [61][1700/3757] lr: 1.000e-03 eta: 11:20:05 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 6.5153 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1445 loss: 1.1445 2022/06/30 08:47:59 - mmengine - INFO - Epoch(train) [61][1720/3757] lr: 1.000e-03 eta: 11:19:59 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 7.0887 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3099 loss: 1.3099 2022/06/30 08:48:04 - mmengine - INFO - Epoch(train) [61][1740/3757] lr: 1.000e-03 eta: 11:19:53 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 8.5144 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0765 loss: 1.0765 2022/06/30 08:48:09 - mmengine - INFO - Epoch(train) [61][1760/3757] lr: 1.000e-03 eta: 11:19:48 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 7.7224 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1177 loss: 1.1177 2022/06/30 08:48:15 - mmengine - INFO - Epoch(train) [61][1780/3757] lr: 1.000e-03 eta: 11:19:42 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.1625 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3438 loss: 1.3438 2022/06/30 08:48:20 - mmengine - INFO - Epoch(train) [61][1800/3757] lr: 1.000e-03 eta: 11:19:37 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 7.2769 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2903 loss: 1.2903 2022/06/30 08:48:26 - mmengine - INFO - Epoch(train) [61][1820/3757] lr: 1.000e-03 eta: 11:19:31 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 7.7539 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1834 loss: 1.1834 2022/06/30 08:48:31 - mmengine - INFO - Epoch(train) [61][1840/3757] lr: 1.000e-03 eta: 11:19:26 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 6.2616 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4827 loss: 1.4827 2022/06/30 08:48:37 - mmengine - INFO - Epoch(train) [61][1860/3757] lr: 1.000e-03 eta: 11:19:20 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 7.6672 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2139 loss: 1.2139 2022/06/30 08:48:42 - mmengine - INFO - Epoch(train) [61][1880/3757] lr: 1.000e-03 eta: 11:19:15 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.4695 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9086 loss: 0.9086 2022/06/30 08:48:47 - mmengine - INFO - Epoch(train) [61][1900/3757] lr: 1.000e-03 eta: 11:19:09 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 7.5764 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3633 loss: 1.3633 2022/06/30 08:48:53 - mmengine - INFO - Epoch(train) [61][1920/3757] lr: 1.000e-03 eta: 11:19:04 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 8.0233 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9652 loss: 0.9652 2022/06/30 08:48:59 - mmengine - INFO - Epoch(train) [61][1940/3757] lr: 1.000e-03 eta: 11:18:58 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 7.7520 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1218 loss: 1.1218 2022/06/30 08:49:04 - mmengine - INFO - Epoch(train) [61][1960/3757] lr: 1.000e-03 eta: 11:18:53 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 6.8113 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7043 loss: 1.7043 2022/06/30 08:49:09 - mmengine - INFO - Epoch(train) [61][1980/3757] lr: 1.000e-03 eta: 11:18:47 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 6.8779 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0783 loss: 1.0783 2022/06/30 08:49:15 - mmengine - INFO - Epoch(train) [61][2000/3757] lr: 1.000e-03 eta: 11:18:42 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.7222 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4852 loss: 1.4852 2022/06/30 08:49:21 - mmengine - INFO - Epoch(train) [61][2020/3757] lr: 1.000e-03 eta: 11:18:36 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 7.2472 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1659 loss: 1.1659 2022/06/30 08:49:26 - mmengine - INFO - Epoch(train) [61][2040/3757] lr: 1.000e-03 eta: 11:18:31 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 7.6779 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9551 loss: 0.9551 2022/06/30 08:49:32 - mmengine - INFO - Epoch(train) [61][2060/3757] lr: 1.000e-03 eta: 11:18:25 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 6.7959 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2426 loss: 1.2426 2022/06/30 08:49:37 - mmengine - INFO - Epoch(train) [61][2080/3757] lr: 1.000e-03 eta: 11:18:20 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 6.1978 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1045 loss: 1.1045 2022/06/30 08:49:42 - mmengine - INFO - Epoch(train) [61][2100/3757] lr: 1.000e-03 eta: 11:18:14 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 7.0179 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2056 loss: 1.2056 2022/06/30 08:49:47 - mmengine - INFO - Epoch(train) [61][2120/3757] lr: 1.000e-03 eta: 11:18:08 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 8.0704 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1952 loss: 1.1952 2022/06/30 08:49:53 - mmengine - INFO - Epoch(train) [61][2140/3757] lr: 1.000e-03 eta: 11:18:03 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 6.4173 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0853 loss: 1.0853 2022/06/30 08:49:58 - mmengine - INFO - Epoch(train) [61][2160/3757] lr: 1.000e-03 eta: 11:17:57 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 5.8869 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6455 loss: 1.6455 2022/06/30 08:50:04 - mmengine - INFO - Epoch(train) [61][2180/3757] lr: 1.000e-03 eta: 11:17:52 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.9217 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3488 loss: 1.3488 2022/06/30 08:50:09 - mmengine - INFO - Epoch(train) [61][2200/3757] lr: 1.000e-03 eta: 11:17:46 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 7.1336 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0943 loss: 1.0943 2022/06/30 08:50:15 - mmengine - INFO - Epoch(train) [61][2220/3757] lr: 1.000e-03 eta: 11:17:40 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 7.5306 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1592 loss: 1.1592 2022/06/30 08:50:20 - mmengine - INFO - Epoch(train) [61][2240/3757] lr: 1.000e-03 eta: 11:17:35 time: 0.263 data_time: 0.011 memory: 6404 grad_norm: 7.0424 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1455 loss: 1.1455 2022/06/30 08:50:26 - mmengine - INFO - Epoch(train) [61][2260/3757] lr: 1.000e-03 eta: 11:17:29 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 7.4819 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2549 loss: 1.2549 2022/06/30 08:50:31 - mmengine - INFO - Epoch(train) [61][2280/3757] lr: 1.000e-03 eta: 11:17:24 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 7.4576 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4614 loss: 1.4614 2022/06/30 08:50:36 - mmengine - INFO - Epoch(train) [61][2300/3757] lr: 1.000e-03 eta: 11:17:18 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 7.2756 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2237 loss: 1.2237 2022/06/30 08:50:42 - mmengine - INFO - Epoch(train) [61][2320/3757] lr: 1.000e-03 eta: 11:17:13 time: 0.258 data_time: 0.013 memory: 6404 grad_norm: 8.5214 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2896 loss: 1.2896 2022/06/30 08:50:47 - mmengine - INFO - Epoch(train) [61][2340/3757] lr: 1.000e-03 eta: 11:17:07 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 7.7059 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8324 loss: 1.8324 2022/06/30 08:50:53 - mmengine - INFO - Epoch(train) [61][2360/3757] lr: 1.000e-03 eta: 11:17:02 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 6.8470 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6514 loss: 1.6514 2022/06/30 08:50:58 - mmengine - INFO - Epoch(train) [61][2380/3757] lr: 1.000e-03 eta: 11:16:56 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 8.4189 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5265 loss: 1.5265 2022/06/30 08:51:03 - mmengine - INFO - Epoch(train) [61][2400/3757] lr: 1.000e-03 eta: 11:16:51 time: 0.254 data_time: 0.021 memory: 6404 grad_norm: 7.6743 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2976 loss: 1.2976 2022/06/30 08:51:09 - mmengine - INFO - Epoch(train) [61][2420/3757] lr: 1.000e-03 eta: 11:16:45 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 6.7886 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2422 loss: 1.2422 2022/06/30 08:51:14 - mmengine - INFO - Epoch(train) [61][2440/3757] lr: 1.000e-03 eta: 11:16:40 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 5.9378 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9263 loss: 0.9263 2022/06/30 08:51:20 - mmengine - INFO - Epoch(train) [61][2460/3757] lr: 1.000e-03 eta: 11:16:34 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 6.8513 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4122 loss: 1.4122 2022/06/30 08:51:25 - mmengine - INFO - Epoch(train) [61][2480/3757] lr: 1.000e-03 eta: 11:16:28 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 7.2220 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4725 loss: 1.4725 2022/06/30 08:51:30 - mmengine - INFO - Epoch(train) [61][2500/3757] lr: 1.000e-03 eta: 11:16:23 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 7.3337 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1490 loss: 1.1490 2022/06/30 08:51:36 - mmengine - INFO - Epoch(train) [61][2520/3757] lr: 1.000e-03 eta: 11:16:17 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 6.7784 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3822 loss: 1.3822 2022/06/30 08:51:41 - mmengine - INFO - Epoch(train) [61][2540/3757] lr: 1.000e-03 eta: 11:16:12 time: 0.275 data_time: 0.011 memory: 6404 grad_norm: 7.7685 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4163 loss: 1.4163 2022/06/30 08:51:47 - mmengine - INFO - Epoch(train) [61][2560/3757] lr: 1.000e-03 eta: 11:16:06 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 7.5669 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0633 loss: 1.0633 2022/06/30 08:51:52 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 08:51:52 - mmengine - INFO - Epoch(train) [61][2580/3757] lr: 1.000e-03 eta: 11:16:01 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 7.1618 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4806 loss: 1.4806 2022/06/30 08:51:57 - mmengine - INFO - Epoch(train) [61][2600/3757] lr: 1.000e-03 eta: 11:15:55 time: 0.266 data_time: 0.035 memory: 6404 grad_norm: 8.9173 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4890 loss: 1.4890 2022/06/30 08:52:03 - mmengine - INFO - Epoch(train) [61][2620/3757] lr: 1.000e-03 eta: 11:15:50 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 7.0856 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1548 loss: 1.1548 2022/06/30 08:52:08 - mmengine - INFO - Epoch(train) [61][2640/3757] lr: 1.000e-03 eta: 11:15:44 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 7.0083 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9909 loss: 0.9909 2022/06/30 08:52:14 - mmengine - INFO - Epoch(train) [61][2660/3757] lr: 1.000e-03 eta: 11:15:39 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 7.3481 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2678 loss: 1.2678 2022/06/30 08:52:19 - mmengine - INFO - Epoch(train) [61][2680/3757] lr: 1.000e-03 eta: 11:15:33 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 7.3749 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1429 loss: 1.1429 2022/06/30 08:52:25 - mmengine - INFO - Epoch(train) [61][2700/3757] lr: 1.000e-03 eta: 11:15:27 time: 0.260 data_time: 0.009 memory: 6404 grad_norm: 6.3031 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0109 loss: 1.0109 2022/06/30 08:52:30 - mmengine - INFO - Epoch(train) [61][2720/3757] lr: 1.000e-03 eta: 11:15:22 time: 0.457 data_time: 0.009 memory: 6404 grad_norm: 6.1374 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3074 loss: 1.3074 2022/06/30 08:52:36 - mmengine - INFO - Epoch(train) [61][2740/3757] lr: 1.000e-03 eta: 11:15:16 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 5.8187 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1366 loss: 1.1366 2022/06/30 08:52:41 - mmengine - INFO - Epoch(train) [61][2760/3757] lr: 1.000e-03 eta: 11:15:11 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 7.6441 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.4729 loss: 1.4729 2022/06/30 08:52:47 - mmengine - INFO - Epoch(train) [61][2780/3757] lr: 1.000e-03 eta: 11:15:05 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 7.3140 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4438 loss: 1.4438 2022/06/30 08:52:52 - mmengine - INFO - Epoch(train) [61][2800/3757] lr: 1.000e-03 eta: 11:15:00 time: 0.258 data_time: 0.015 memory: 6404 grad_norm: 8.0042 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2847 loss: 1.2847 2022/06/30 08:52:57 - mmengine - INFO - Epoch(train) [61][2820/3757] lr: 1.000e-03 eta: 11:14:54 time: 0.243 data_time: 0.009 memory: 6404 grad_norm: 7.7141 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2379 loss: 1.2379 2022/06/30 08:53:03 - mmengine - INFO - Epoch(train) [61][2840/3757] lr: 1.000e-03 eta: 11:14:49 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 8.4647 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0528 loss: 1.0528 2022/06/30 08:53:09 - mmengine - INFO - Epoch(train) [61][2860/3757] lr: 1.000e-03 eta: 11:14:43 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 7.1963 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0591 loss: 1.0591 2022/06/30 08:53:14 - mmengine - INFO - Epoch(train) [61][2880/3757] lr: 1.000e-03 eta: 11:14:38 time: 0.264 data_time: 0.009 memory: 6404 grad_norm: 5.2767 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1925 loss: 1.1925 2022/06/30 08:53:19 - mmengine - INFO - Epoch(train) [61][2900/3757] lr: 1.000e-03 eta: 11:14:32 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 6.3303 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2134 loss: 1.2134 2022/06/30 08:53:25 - mmengine - INFO - Epoch(train) [61][2920/3757] lr: 1.000e-03 eta: 11:14:27 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 8.4479 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0180 loss: 1.0180 2022/06/30 08:53:31 - mmengine - INFO - Epoch(train) [61][2940/3757] lr: 1.000e-03 eta: 11:14:21 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 6.4593 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9022 loss: 0.9022 2022/06/30 08:53:36 - mmengine - INFO - Epoch(train) [61][2960/3757] lr: 1.000e-03 eta: 11:14:16 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 7.8535 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0776 loss: 1.0776 2022/06/30 08:53:42 - mmengine - INFO - Epoch(train) [61][2980/3757] lr: 1.000e-03 eta: 11:14:10 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 7.1164 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8295 loss: 0.8295 2022/06/30 08:53:47 - mmengine - INFO - Epoch(train) [61][3000/3757] lr: 1.000e-03 eta: 11:14:05 time: 0.246 data_time: 0.022 memory: 6404 grad_norm: 7.1225 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2545 loss: 1.2545 2022/06/30 08:53:52 - mmengine - INFO - Epoch(train) [61][3020/3757] lr: 1.000e-03 eta: 11:13:59 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 6.5581 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5418 loss: 1.5418 2022/06/30 08:53:58 - mmengine - INFO - Epoch(train) [61][3040/3757] lr: 1.000e-03 eta: 11:13:53 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 7.5234 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1197 loss: 1.1197 2022/06/30 08:54:03 - mmengine - INFO - Epoch(train) [61][3060/3757] lr: 1.000e-03 eta: 11:13:48 time: 0.355 data_time: 0.025 memory: 6404 grad_norm: 7.0073 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2062 loss: 1.2062 2022/06/30 08:54:08 - mmengine - INFO - Epoch(train) [61][3080/3757] lr: 1.000e-03 eta: 11:13:42 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 6.2304 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3467 loss: 1.3467 2022/06/30 08:54:14 - mmengine - INFO - Epoch(train) [61][3100/3757] lr: 1.000e-03 eta: 11:13:37 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 8.6143 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.7953 loss: 0.7953 2022/06/30 08:54:19 - mmengine - INFO - Epoch(train) [61][3120/3757] lr: 1.000e-03 eta: 11:13:31 time: 0.246 data_time: 0.013 memory: 6404 grad_norm: 7.6617 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1137 loss: 1.1137 2022/06/30 08:54:25 - mmengine - INFO - Epoch(train) [61][3140/3757] lr: 1.000e-03 eta: 11:13:26 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 6.7298 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0268 loss: 1.0268 2022/06/30 08:54:30 - mmengine - INFO - Epoch(train) [61][3160/3757] lr: 1.000e-03 eta: 11:13:20 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 7.7400 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1878 loss: 1.1878 2022/06/30 08:54:35 - mmengine - INFO - Epoch(train) [61][3180/3757] lr: 1.000e-03 eta: 11:13:14 time: 0.260 data_time: 0.064 memory: 6404 grad_norm: 6.4671 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9976 loss: 0.9976 2022/06/30 08:54:41 - mmengine - INFO - Epoch(train) [61][3200/3757] lr: 1.000e-03 eta: 11:13:09 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 6.6711 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9181 loss: 0.9181 2022/06/30 08:54:46 - mmengine - INFO - Epoch(train) [61][3220/3757] lr: 1.000e-03 eta: 11:13:04 time: 0.271 data_time: 0.011 memory: 6404 grad_norm: 6.7339 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3812 loss: 1.3812 2022/06/30 08:54:52 - mmengine - INFO - Epoch(train) [61][3240/3757] lr: 1.000e-03 eta: 11:12:58 time: 0.263 data_time: 0.017 memory: 6404 grad_norm: 6.6548 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4498 loss: 1.4498 2022/06/30 08:54:57 - mmengine - INFO - Epoch(train) [61][3260/3757] lr: 1.000e-03 eta: 11:12:52 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 7.8277 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2235 loss: 1.2235 2022/06/30 08:55:04 - mmengine - INFO - Epoch(train) [61][3280/3757] lr: 1.000e-03 eta: 11:12:47 time: 0.789 data_time: 0.006 memory: 6404 grad_norm: 7.7625 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7887 loss: 0.7887 2022/06/30 08:55:09 - mmengine - INFO - Epoch(train) [61][3300/3757] lr: 1.000e-03 eta: 11:12:42 time: 0.260 data_time: 0.016 memory: 6404 grad_norm: 8.7551 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3946 loss: 1.3946 2022/06/30 08:55:14 - mmengine - INFO - Epoch(train) [61][3320/3757] lr: 1.000e-03 eta: 11:12:36 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.3443 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0051 loss: 1.0051 2022/06/30 08:55:19 - mmengine - INFO - Epoch(train) [61][3340/3757] lr: 1.000e-03 eta: 11:12:30 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 8.7019 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1838 loss: 1.1838 2022/06/30 08:55:24 - mmengine - INFO - Epoch(train) [61][3360/3757] lr: 1.000e-03 eta: 11:12:25 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 7.2791 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9134 loss: 0.9134 2022/06/30 08:55:30 - mmengine - INFO - Epoch(train) [61][3380/3757] lr: 1.000e-03 eta: 11:12:19 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 6.4718 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2349 loss: 1.2349 2022/06/30 08:55:35 - mmengine - INFO - Epoch(train) [61][3400/3757] lr: 1.000e-03 eta: 11:12:13 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.7061 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1053 loss: 1.1053 2022/06/30 08:55:40 - mmengine - INFO - Epoch(train) [61][3420/3757] lr: 1.000e-03 eta: 11:12:08 time: 0.261 data_time: 0.012 memory: 6404 grad_norm: 7.6545 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3543 loss: 1.3543 2022/06/30 08:55:45 - mmengine - INFO - Epoch(train) [61][3440/3757] lr: 1.000e-03 eta: 11:12:02 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 8.4329 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1589 loss: 1.1589 2022/06/30 08:55:51 - mmengine - INFO - Epoch(train) [61][3460/3757] lr: 1.000e-03 eta: 11:11:57 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 7.4241 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2775 loss: 1.2775 2022/06/30 08:55:56 - mmengine - INFO - Epoch(train) [61][3480/3757] lr: 1.000e-03 eta: 11:11:51 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 6.9934 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9742 loss: 0.9742 2022/06/30 08:56:02 - mmengine - INFO - Epoch(train) [61][3500/3757] lr: 1.000e-03 eta: 11:11:46 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 7.9412 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2005 loss: 1.2005 2022/06/30 08:56:08 - mmengine - INFO - Epoch(train) [61][3520/3757] lr: 1.000e-03 eta: 11:11:40 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.9420 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3000 loss: 1.3000 2022/06/30 08:56:13 - mmengine - INFO - Epoch(train) [61][3540/3757] lr: 1.000e-03 eta: 11:11:35 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 7.4396 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3960 loss: 1.3960 2022/06/30 08:56:18 - mmengine - INFO - Epoch(train) [61][3560/3757] lr: 1.000e-03 eta: 11:11:29 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 7.3471 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2814 loss: 1.2814 2022/06/30 08:56:24 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 08:56:24 - mmengine - INFO - Epoch(train) [61][3580/3757] lr: 1.000e-03 eta: 11:11:24 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.7689 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9112 loss: 0.9112 2022/06/30 08:56:30 - mmengine - INFO - Epoch(train) [61][3600/3757] lr: 1.000e-03 eta: 11:11:18 time: 0.264 data_time: 0.009 memory: 6404 grad_norm: 7.8468 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1834 loss: 1.1834 2022/06/30 08:56:35 - mmengine - INFO - Epoch(train) [61][3620/3757] lr: 1.000e-03 eta: 11:11:13 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 7.5831 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2971 loss: 1.2971 2022/06/30 08:56:40 - mmengine - INFO - Epoch(train) [61][3640/3757] lr: 1.000e-03 eta: 11:11:07 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 7.1903 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9880 loss: 0.9880 2022/06/30 08:56:46 - mmengine - INFO - Epoch(train) [61][3660/3757] lr: 1.000e-03 eta: 11:11:02 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 8.0508 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2905 loss: 1.2905 2022/06/30 08:56:52 - mmengine - INFO - Epoch(train) [61][3680/3757] lr: 1.000e-03 eta: 11:10:56 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 8.4927 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8711 loss: 0.8711 2022/06/30 08:56:57 - mmengine - INFO - Epoch(train) [61][3700/3757] lr: 1.000e-03 eta: 11:10:51 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 8.6014 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2827 loss: 1.2827 2022/06/30 08:57:03 - mmengine - INFO - Epoch(train) [61][3720/3757] lr: 1.000e-03 eta: 11:10:45 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 7.9996 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0291 loss: 1.0291 2022/06/30 08:57:08 - mmengine - INFO - Epoch(train) [61][3740/3757] lr: 1.000e-03 eta: 11:10:40 time: 0.238 data_time: 0.009 memory: 6404 grad_norm: 7.8787 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1996 loss: 1.1996 2022/06/30 08:57:12 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 08:57:20 - mmengine - INFO - Epoch(val) [61][20/310] eta: 0:01:31 time: 0.107 data_time: 0.009 memory: 6404 2022/06/30 08:57:25 - mmengine - INFO - Epoch(val) [61][40/310] eta: 0:01:18 time: 0.180 data_time: 0.104 memory: 1479 2022/06/30 08:57:29 - mmengine - INFO - Epoch(val) [61][60/310] eta: 0:00:22 time: 0.092 data_time: 0.012 memory: 1479 2022/06/30 08:57:35 - mmengine - INFO - Epoch(val) [61][80/310] eta: 0:01:13 time: 0.097 data_time: 0.019 memory: 1479 2022/06/30 08:57:41 - mmengine - INFO - Epoch(val) [61][100/310] eta: 0:01:00 time: 0.613 data_time: 0.530 memory: 1479 2022/06/30 08:57:45 - mmengine - INFO - Epoch(val) [61][120/310] eta: 0:00:22 time: 0.091 data_time: 0.014 memory: 1479 2022/06/30 08:57:51 - mmengine - INFO - Epoch(val) [61][140/310] eta: 0:00:50 time: 0.254 data_time: 0.167 memory: 1479 2022/06/30 08:57:57 - mmengine - INFO - Epoch(val) [61][160/310] eta: 0:00:46 time: 1.719 data_time: 1.645 memory: 1479 2022/06/30 08:58:01 - mmengine - INFO - Epoch(val) [61][180/310] eta: 0:00:40 time: 0.088 data_time: 0.006 memory: 1479 2022/06/30 08:58:07 - mmengine - INFO - Epoch(val) [61][200/310] eta: 0:00:33 time: 0.092 data_time: 0.007 memory: 1479 2022/06/30 08:58:13 - mmengine - INFO - Epoch(val) [61][220/310] eta: 0:00:25 time: 1.011 data_time: 0.925 memory: 1479 2022/06/30 08:58:17 - mmengine - INFO - Epoch(val) [61][240/310] eta: 0:00:20 time: 0.086 data_time: 0.007 memory: 1479 2022/06/30 08:58:23 - mmengine - INFO - Epoch(val) [61][260/310] eta: 0:00:15 time: 0.078 data_time: 0.005 memory: 1479 2022/06/30 08:58:29 - mmengine - INFO - Epoch(val) [61][280/310] eta: 0:00:10 time: 1.426 data_time: 1.339 memory: 1479 2022/06/30 08:58:33 - mmengine - INFO - Epoch(val) [61][300/310] eta: 0:00:02 time: 0.113 data_time: 0.012 memory: 1479 2022/06/30 08:58:36 - mmengine - INFO - Epoch(val) [61][310/310] acc/top1: 0.6646 acc/top5: 0.8680 acc/mean1: 0.6645 2022/06/30 08:58:45 - mmengine - INFO - Epoch(train) [62][20/3757] lr: 1.000e-03 eta: 11:10:30 time: 0.245 data_time: 0.012 memory: 6404 grad_norm: 8.1174 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3362 loss: 1.3362 2022/06/30 08:58:50 - mmengine - INFO - Epoch(train) [62][40/3757] lr: 1.000e-03 eta: 11:10:25 time: 0.248 data_time: 0.024 memory: 6404 grad_norm: 8.3449 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2119 loss: 1.2119 2022/06/30 08:58:56 - mmengine - INFO - Epoch(train) [62][60/3757] lr: 1.000e-03 eta: 11:10:19 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 6.1855 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1193 loss: 1.1193 2022/06/30 08:59:01 - mmengine - INFO - Epoch(train) [62][80/3757] lr: 1.000e-03 eta: 11:10:14 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.1424 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4722 loss: 1.4722 2022/06/30 08:59:07 - mmengine - INFO - Epoch(train) [62][100/3757] lr: 1.000e-03 eta: 11:10:08 time: 0.240 data_time: 0.016 memory: 6404 grad_norm: 8.5483 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0639 loss: 1.0639 2022/06/30 08:59:12 - mmengine - INFO - Epoch(train) [62][120/3757] lr: 1.000e-03 eta: 11:10:03 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.4645 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4511 loss: 1.4511 2022/06/30 08:59:18 - mmengine - INFO - Epoch(train) [62][140/3757] lr: 1.000e-03 eta: 11:09:58 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.9168 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0735 loss: 1.0735 2022/06/30 08:59:24 - mmengine - INFO - Epoch(train) [62][160/3757] lr: 1.000e-03 eta: 11:09:52 time: 0.265 data_time: 0.014 memory: 6404 grad_norm: 8.7006 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1512 loss: 1.1512 2022/06/30 08:59:29 - mmengine - INFO - Epoch(train) [62][180/3757] lr: 1.000e-03 eta: 11:09:47 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.3179 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2915 loss: 1.2915 2022/06/30 08:59:34 - mmengine - INFO - Epoch(train) [62][200/3757] lr: 1.000e-03 eta: 11:09:41 time: 0.269 data_time: 0.008 memory: 6404 grad_norm: 6.9907 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1211 loss: 1.1211 2022/06/30 08:59:41 - mmengine - INFO - Epoch(train) [62][220/3757] lr: 1.000e-03 eta: 11:09:36 time: 0.619 data_time: 0.014 memory: 6404 grad_norm: 7.6877 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1511 loss: 1.1511 2022/06/30 08:59:46 - mmengine - INFO - Epoch(train) [62][240/3757] lr: 1.000e-03 eta: 11:09:30 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 8.5962 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1465 loss: 1.1465 2022/06/30 08:59:51 - mmengine - INFO - Epoch(train) [62][260/3757] lr: 1.000e-03 eta: 11:09:25 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 6.4397 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4326 loss: 1.4326 2022/06/30 08:59:56 - mmengine - INFO - Epoch(train) [62][280/3757] lr: 1.000e-03 eta: 11:09:19 time: 0.451 data_time: 0.029 memory: 6404 grad_norm: 5.5584 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2316 loss: 1.2316 2022/06/30 09:00:02 - mmengine - INFO - Epoch(train) [62][300/3757] lr: 1.000e-03 eta: 11:09:14 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 7.1570 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0991 loss: 1.0991 2022/06/30 09:00:07 - mmengine - INFO - Epoch(train) [62][320/3757] lr: 1.000e-03 eta: 11:09:08 time: 0.424 data_time: 0.007 memory: 6404 grad_norm: 7.8709 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3906 loss: 1.3906 2022/06/30 09:00:13 - mmengine - INFO - Epoch(train) [62][340/3757] lr: 1.000e-03 eta: 11:09:03 time: 0.262 data_time: 0.022 memory: 6404 grad_norm: 6.6809 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1066 loss: 1.1066 2022/06/30 09:00:19 - mmengine - INFO - Epoch(train) [62][360/3757] lr: 1.000e-03 eta: 11:08:57 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 6.3226 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0926 loss: 1.0926 2022/06/30 09:00:25 - mmengine - INFO - Epoch(train) [62][380/3757] lr: 1.000e-03 eta: 11:08:52 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.6262 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5328 loss: 1.5328 2022/06/30 09:00:30 - mmengine - INFO - Epoch(train) [62][400/3757] lr: 1.000e-03 eta: 11:08:46 time: 0.439 data_time: 0.011 memory: 6404 grad_norm: 7.6111 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2194 loss: 1.2194 2022/06/30 09:00:35 - mmengine - INFO - Epoch(train) [62][420/3757] lr: 1.000e-03 eta: 11:08:41 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.3949 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8169 loss: 0.8169 2022/06/30 09:00:41 - mmengine - INFO - Epoch(train) [62][440/3757] lr: 1.000e-03 eta: 11:08:36 time: 0.393 data_time: 0.009 memory: 6404 grad_norm: 7.5443 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6315 loss: 1.6315 2022/06/30 09:00:47 - mmengine - INFO - Epoch(train) [62][460/3757] lr: 1.000e-03 eta: 11:08:30 time: 0.259 data_time: 0.014 memory: 6404 grad_norm: 6.6366 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1062 loss: 1.1062 2022/06/30 09:00:52 - mmengine - INFO - Epoch(train) [62][480/3757] lr: 1.000e-03 eta: 11:08:24 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 8.1143 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0131 loss: 1.0131 2022/06/30 09:00:58 - mmengine - INFO - Epoch(train) [62][500/3757] lr: 1.000e-03 eta: 11:08:19 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 8.2392 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4846 loss: 1.4846 2022/06/30 09:01:03 - mmengine - INFO - Epoch(train) [62][520/3757] lr: 1.000e-03 eta: 11:08:14 time: 0.287 data_time: 0.027 memory: 6404 grad_norm: 8.8061 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1667 loss: 1.1667 2022/06/30 09:01:09 - mmengine - INFO - Epoch(train) [62][540/3757] lr: 1.000e-03 eta: 11:08:08 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.6892 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4548 loss: 1.4548 2022/06/30 09:01:14 - mmengine - INFO - Epoch(train) [62][560/3757] lr: 1.000e-03 eta: 11:08:02 time: 0.284 data_time: 0.009 memory: 6404 grad_norm: 7.6374 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7333 loss: 1.7333 2022/06/30 09:01:20 - mmengine - INFO - Epoch(train) [62][580/3757] lr: 1.000e-03 eta: 11:07:57 time: 0.267 data_time: 0.010 memory: 6404 grad_norm: 8.1211 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3190 loss: 1.3190 2022/06/30 09:01:25 - mmengine - INFO - Epoch(train) [62][600/3757] lr: 1.000e-03 eta: 11:07:52 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.8993 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3942 loss: 1.3942 2022/06/30 09:01:31 - mmengine - INFO - Epoch(train) [62][620/3757] lr: 1.000e-03 eta: 11:07:46 time: 0.270 data_time: 0.007 memory: 6404 grad_norm: 6.0907 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1113 loss: 1.1113 2022/06/30 09:01:36 - mmengine - INFO - Epoch(train) [62][640/3757] lr: 1.000e-03 eta: 11:07:41 time: 0.271 data_time: 0.011 memory: 6404 grad_norm: 8.1977 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1956 loss: 1.1956 2022/06/30 09:01:42 - mmengine - INFO - Epoch(train) [62][660/3757] lr: 1.000e-03 eta: 11:07:35 time: 0.240 data_time: 0.026 memory: 6404 grad_norm: 8.0868 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2494 loss: 1.2494 2022/06/30 09:01:48 - mmengine - INFO - Epoch(train) [62][680/3757] lr: 1.000e-03 eta: 11:07:30 time: 0.270 data_time: 0.008 memory: 6404 grad_norm: 7.9563 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0665 loss: 1.0665 2022/06/30 09:01:53 - mmengine - INFO - Epoch(train) [62][700/3757] lr: 1.000e-03 eta: 11:07:24 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 7.5882 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3194 loss: 1.3194 2022/06/30 09:01:59 - mmengine - INFO - Epoch(train) [62][720/3757] lr: 1.000e-03 eta: 11:07:19 time: 0.271 data_time: 0.007 memory: 6404 grad_norm: 7.1773 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1883 loss: 1.1883 2022/06/30 09:02:04 - mmengine - INFO - Epoch(train) [62][740/3757] lr: 1.000e-03 eta: 11:07:13 time: 0.275 data_time: 0.007 memory: 6404 grad_norm: 6.7544 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9052 loss: 0.9052 2022/06/30 09:02:09 - mmengine - INFO - Epoch(train) [62][760/3757] lr: 1.000e-03 eta: 11:07:08 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 5.5576 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1985 loss: 1.1985 2022/06/30 09:02:15 - mmengine - INFO - Epoch(train) [62][780/3757] lr: 1.000e-03 eta: 11:07:02 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 8.3578 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3227 loss: 1.3227 2022/06/30 09:02:21 - mmengine - INFO - Epoch(train) [62][800/3757] lr: 1.000e-03 eta: 11:06:57 time: 0.503 data_time: 0.007 memory: 6404 grad_norm: 7.8033 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0332 loss: 1.0332 2022/06/30 09:02:26 - mmengine - INFO - Epoch(train) [62][820/3757] lr: 1.000e-03 eta: 11:06:51 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 7.5784 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9008 loss: 0.9008 2022/06/30 09:02:27 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 09:02:32 - mmengine - INFO - Epoch(train) [62][840/3757] lr: 1.000e-03 eta: 11:06:46 time: 0.266 data_time: 0.014 memory: 6404 grad_norm: 6.4795 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9666 loss: 0.9666 2022/06/30 09:02:37 - mmengine - INFO - Epoch(train) [62][860/3757] lr: 1.000e-03 eta: 11:06:40 time: 0.270 data_time: 0.009 memory: 6404 grad_norm: 6.5294 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2279 loss: 1.2279 2022/06/30 09:02:42 - mmengine - INFO - Epoch(train) [62][880/3757] lr: 1.000e-03 eta: 11:06:35 time: 0.256 data_time: 0.015 memory: 6404 grad_norm: 7.0786 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4528 loss: 1.4528 2022/06/30 09:02:47 - mmengine - INFO - Epoch(train) [62][900/3757] lr: 1.000e-03 eta: 11:06:29 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 7.0015 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2944 loss: 1.2944 2022/06/30 09:02:53 - mmengine - INFO - Epoch(train) [62][920/3757] lr: 1.000e-03 eta: 11:06:23 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 7.2867 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3383 loss: 1.3383 2022/06/30 09:02:58 - mmengine - INFO - Epoch(train) [62][940/3757] lr: 1.000e-03 eta: 11:06:18 time: 0.517 data_time: 0.007 memory: 6404 grad_norm: 6.5829 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1695 loss: 1.1695 2022/06/30 09:03:04 - mmengine - INFO - Epoch(train) [62][960/3757] lr: 1.000e-03 eta: 11:06:13 time: 0.490 data_time: 0.020 memory: 6404 grad_norm: 7.3751 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8900 loss: 0.8900 2022/06/30 09:03:09 - mmengine - INFO - Epoch(train) [62][980/3757] lr: 1.000e-03 eta: 11:06:07 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.2858 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3413 loss: 1.3413 2022/06/30 09:03:15 - mmengine - INFO - Epoch(train) [62][1000/3757] lr: 1.000e-03 eta: 11:06:01 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 9.0305 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4762 loss: 1.4762 2022/06/30 09:03:20 - mmengine - INFO - Epoch(train) [62][1020/3757] lr: 1.000e-03 eta: 11:05:56 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 6.9902 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2522 loss: 1.2522 2022/06/30 09:03:25 - mmengine - INFO - Epoch(train) [62][1040/3757] lr: 1.000e-03 eta: 11:05:50 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 8.1863 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9358 loss: 0.9358 2022/06/30 09:03:31 - mmengine - INFO - Epoch(train) [62][1060/3757] lr: 1.000e-03 eta: 11:05:45 time: 0.537 data_time: 0.007 memory: 6404 grad_norm: 8.7194 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2396 loss: 1.2396 2022/06/30 09:03:37 - mmengine - INFO - Epoch(train) [62][1080/3757] lr: 1.000e-03 eta: 11:05:39 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 6.9327 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6132 loss: 1.6132 2022/06/30 09:03:42 - mmengine - INFO - Epoch(train) [62][1100/3757] lr: 1.000e-03 eta: 11:05:34 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 7.2482 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3208 loss: 1.3208 2022/06/30 09:03:48 - mmengine - INFO - Epoch(train) [62][1120/3757] lr: 1.000e-03 eta: 11:05:28 time: 0.261 data_time: 0.006 memory: 6404 grad_norm: 8.6959 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1965 loss: 1.1965 2022/06/30 09:03:54 - mmengine - INFO - Epoch(train) [62][1140/3757] lr: 1.000e-03 eta: 11:05:23 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 7.8284 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3457 loss: 1.3457 2022/06/30 09:03:59 - mmengine - INFO - Epoch(train) [62][1160/3757] lr: 1.000e-03 eta: 11:05:18 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.9144 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2289 loss: 1.2289 2022/06/30 09:04:04 - mmengine - INFO - Epoch(train) [62][1180/3757] lr: 1.000e-03 eta: 11:05:12 time: 0.270 data_time: 0.007 memory: 6404 grad_norm: 5.8894 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5036 loss: 1.5036 2022/06/30 09:04:10 - mmengine - INFO - Epoch(train) [62][1200/3757] lr: 1.000e-03 eta: 11:05:06 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 7.6716 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0054 loss: 1.0054 2022/06/30 09:04:15 - mmengine - INFO - Epoch(train) [62][1220/3757] lr: 1.000e-03 eta: 11:05:01 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 7.1430 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2287 loss: 1.2287 2022/06/30 09:04:20 - mmengine - INFO - Epoch(train) [62][1240/3757] lr: 1.000e-03 eta: 11:04:55 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 6.9107 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0299 loss: 1.0299 2022/06/30 09:04:26 - mmengine - INFO - Epoch(train) [62][1260/3757] lr: 1.000e-03 eta: 11:04:50 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.1365 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2927 loss: 1.2927 2022/06/30 09:04:31 - mmengine - INFO - Epoch(train) [62][1280/3757] lr: 1.000e-03 eta: 11:04:44 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.0743 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1058 loss: 1.1058 2022/06/30 09:04:37 - mmengine - INFO - Epoch(train) [62][1300/3757] lr: 1.000e-03 eta: 11:04:39 time: 0.394 data_time: 0.012 memory: 6404 grad_norm: 8.5823 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3821 loss: 1.3821 2022/06/30 09:04:42 - mmengine - INFO - Epoch(train) [62][1320/3757] lr: 1.000e-03 eta: 11:04:33 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 7.1559 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3861 loss: 1.3861 2022/06/30 09:04:48 - mmengine - INFO - Epoch(train) [62][1340/3757] lr: 1.000e-03 eta: 11:04:27 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 6.9628 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9704 loss: 0.9704 2022/06/30 09:04:53 - mmengine - INFO - Epoch(train) [62][1360/3757] lr: 1.000e-03 eta: 11:04:22 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 7.1497 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0153 loss: 1.0153 2022/06/30 09:04:59 - mmengine - INFO - Epoch(train) [62][1380/3757] lr: 1.000e-03 eta: 11:04:17 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.8219 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2941 loss: 1.2941 2022/06/30 09:05:04 - mmengine - INFO - Epoch(train) [62][1400/3757] lr: 1.000e-03 eta: 11:04:11 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 7.0376 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5122 loss: 1.5122 2022/06/30 09:05:10 - mmengine - INFO - Epoch(train) [62][1420/3757] lr: 1.000e-03 eta: 11:04:06 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 7.7932 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2319 loss: 1.2319 2022/06/30 09:05:16 - mmengine - INFO - Epoch(train) [62][1440/3757] lr: 1.000e-03 eta: 11:04:00 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.8141 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1914 loss: 1.1914 2022/06/30 09:05:21 - mmengine - INFO - Epoch(train) [62][1460/3757] lr: 1.000e-03 eta: 11:03:55 time: 0.261 data_time: 0.014 memory: 6404 grad_norm: 8.0819 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8075 loss: 1.8075 2022/06/30 09:05:26 - mmengine - INFO - Epoch(train) [62][1480/3757] lr: 1.000e-03 eta: 11:03:49 time: 0.274 data_time: 0.007 memory: 6404 grad_norm: 6.2779 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0989 loss: 1.0989 2022/06/30 09:05:32 - mmengine - INFO - Epoch(train) [62][1500/3757] lr: 1.000e-03 eta: 11:03:43 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 6.8925 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0603 loss: 1.0603 2022/06/30 09:05:37 - mmengine - INFO - Epoch(train) [62][1520/3757] lr: 1.000e-03 eta: 11:03:38 time: 0.247 data_time: 0.014 memory: 6404 grad_norm: 7.8052 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3443 loss: 1.3443 2022/06/30 09:05:43 - mmengine - INFO - Epoch(train) [62][1540/3757] lr: 1.000e-03 eta: 11:03:33 time: 0.684 data_time: 0.012 memory: 6404 grad_norm: 6.8264 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2881 loss: 1.2881 2022/06/30 09:05:48 - mmengine - INFO - Epoch(train) [62][1560/3757] lr: 1.000e-03 eta: 11:03:27 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.3729 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8966 loss: 0.8966 2022/06/30 09:05:54 - mmengine - INFO - Epoch(train) [62][1580/3757] lr: 1.000e-03 eta: 11:03:22 time: 0.496 data_time: 0.007 memory: 6404 grad_norm: 7.0752 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2347 loss: 1.2347 2022/06/30 09:05:59 - mmengine - INFO - Epoch(train) [62][1600/3757] lr: 1.000e-03 eta: 11:03:16 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 6.4742 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8851 loss: 0.8851 2022/06/30 09:06:05 - mmengine - INFO - Epoch(train) [62][1620/3757] lr: 1.000e-03 eta: 11:03:11 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.1018 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5508 loss: 1.5508 2022/06/30 09:06:11 - mmengine - INFO - Epoch(train) [62][1640/3757] lr: 1.000e-03 eta: 11:03:05 time: 0.242 data_time: 0.037 memory: 6404 grad_norm: 6.1776 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0693 loss: 1.0693 2022/06/30 09:06:16 - mmengine - INFO - Epoch(train) [62][1660/3757] lr: 1.000e-03 eta: 11:03:00 time: 0.426 data_time: 0.007 memory: 6404 grad_norm: 7.3463 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1133 loss: 1.1133 2022/06/30 09:06:21 - mmengine - INFO - Epoch(train) [62][1680/3757] lr: 1.000e-03 eta: 11:02:54 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 6.9931 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8845 loss: 0.8845 2022/06/30 09:06:27 - mmengine - INFO - Epoch(train) [62][1700/3757] lr: 1.000e-03 eta: 11:02:49 time: 0.258 data_time: 0.015 memory: 6404 grad_norm: 7.1829 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4054 loss: 1.4054 2022/06/30 09:06:32 - mmengine - INFO - Epoch(train) [62][1720/3757] lr: 1.000e-03 eta: 11:02:43 time: 0.422 data_time: 0.021 memory: 6404 grad_norm: 6.5334 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2566 loss: 1.2566 2022/06/30 09:06:38 - mmengine - INFO - Epoch(train) [62][1740/3757] lr: 1.000e-03 eta: 11:02:38 time: 0.258 data_time: 0.020 memory: 6404 grad_norm: 7.4840 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8669 loss: 0.8669 2022/06/30 09:06:43 - mmengine - INFO - Epoch(train) [62][1760/3757] lr: 1.000e-03 eta: 11:02:32 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 6.5021 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1068 loss: 1.1068 2022/06/30 09:06:49 - mmengine - INFO - Epoch(train) [62][1780/3757] lr: 1.000e-03 eta: 11:02:27 time: 0.265 data_time: 0.029 memory: 6404 grad_norm: 7.8575 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0317 loss: 1.0317 2022/06/30 09:06:54 - mmengine - INFO - Epoch(train) [62][1800/3757] lr: 1.000e-03 eta: 11:02:21 time: 0.243 data_time: 0.026 memory: 6404 grad_norm: 7.4906 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1406 loss: 1.1406 2022/06/30 09:07:00 - mmengine - INFO - Epoch(train) [62][1820/3757] lr: 1.000e-03 eta: 11:02:16 time: 0.240 data_time: 0.010 memory: 6404 grad_norm: 6.9617 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4141 loss: 1.4141 2022/06/30 09:07:01 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 09:07:06 - mmengine - INFO - Epoch(train) [62][1840/3757] lr: 1.000e-03 eta: 11:02:11 time: 0.300 data_time: 0.025 memory: 6404 grad_norm: 6.6430 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8730 loss: 0.8730 2022/06/30 09:07:11 - mmengine - INFO - Epoch(train) [62][1860/3757] lr: 1.000e-03 eta: 11:02:05 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 6.7963 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2295 loss: 1.2295 2022/06/30 09:07:16 - mmengine - INFO - Epoch(train) [62][1880/3757] lr: 1.000e-03 eta: 11:01:59 time: 0.264 data_time: 0.066 memory: 6404 grad_norm: 7.6182 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9696 loss: 0.9696 2022/06/30 09:07:22 - mmengine - INFO - Epoch(train) [62][1900/3757] lr: 1.000e-03 eta: 11:01:54 time: 0.272 data_time: 0.015 memory: 6404 grad_norm: 7.2576 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3966 loss: 1.3966 2022/06/30 09:07:27 - mmengine - INFO - Epoch(train) [62][1920/3757] lr: 1.000e-03 eta: 11:01:48 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 6.9263 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2029 loss: 1.2029 2022/06/30 09:07:33 - mmengine - INFO - Epoch(train) [62][1940/3757] lr: 1.000e-03 eta: 11:01:43 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.7307 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1468 loss: 1.1468 2022/06/30 09:07:38 - mmengine - INFO - Epoch(train) [62][1960/3757] lr: 1.000e-03 eta: 11:01:37 time: 0.257 data_time: 0.016 memory: 6404 grad_norm: 6.4195 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1931 loss: 1.1931 2022/06/30 09:07:43 - mmengine - INFO - Epoch(train) [62][1980/3757] lr: 1.000e-03 eta: 11:01:31 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.1459 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0472 loss: 1.0472 2022/06/30 09:07:49 - mmengine - INFO - Epoch(train) [62][2000/3757] lr: 1.000e-03 eta: 11:01:26 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 8.1218 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1584 loss: 1.1584 2022/06/30 09:07:54 - mmengine - INFO - Epoch(train) [62][2020/3757] lr: 1.000e-03 eta: 11:01:20 time: 0.369 data_time: 0.018 memory: 6404 grad_norm: 9.0167 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5357 loss: 1.5357 2022/06/30 09:07:59 - mmengine - INFO - Epoch(train) [62][2040/3757] lr: 1.000e-03 eta: 11:01:15 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 6.8606 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0639 loss: 1.0639 2022/06/30 09:08:05 - mmengine - INFO - Epoch(train) [62][2060/3757] lr: 1.000e-03 eta: 11:01:09 time: 0.262 data_time: 0.015 memory: 6404 grad_norm: 7.8952 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2970 loss: 1.2970 2022/06/30 09:08:10 - mmengine - INFO - Epoch(train) [62][2080/3757] lr: 1.000e-03 eta: 11:01:03 time: 0.260 data_time: 0.029 memory: 6404 grad_norm: 8.1071 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1180 loss: 1.1180 2022/06/30 09:08:16 - mmengine - INFO - Epoch(train) [62][2100/3757] lr: 1.000e-03 eta: 11:00:58 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 8.7208 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1769 loss: 1.1769 2022/06/30 09:08:22 - mmengine - INFO - Epoch(train) [62][2120/3757] lr: 1.000e-03 eta: 11:00:53 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.3870 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2427 loss: 1.2427 2022/06/30 09:08:27 - mmengine - INFO - Epoch(train) [62][2140/3757] lr: 1.000e-03 eta: 11:00:47 time: 0.255 data_time: 0.026 memory: 6404 grad_norm: 7.0589 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4253 loss: 1.4253 2022/06/30 09:08:32 - mmengine - INFO - Epoch(train) [62][2160/3757] lr: 1.000e-03 eta: 11:00:42 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 7.4076 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1410 loss: 1.1410 2022/06/30 09:08:38 - mmengine - INFO - Epoch(train) [62][2180/3757] lr: 1.000e-03 eta: 11:00:36 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.3542 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2182 loss: 1.2182 2022/06/30 09:08:43 - mmengine - INFO - Epoch(train) [62][2200/3757] lr: 1.000e-03 eta: 11:00:31 time: 0.284 data_time: 0.039 memory: 6404 grad_norm: 8.2220 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0828 loss: 1.0828 2022/06/30 09:08:49 - mmengine - INFO - Epoch(train) [62][2220/3757] lr: 1.000e-03 eta: 11:00:25 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 5.8762 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0989 loss: 1.0989 2022/06/30 09:08:55 - mmengine - INFO - Epoch(train) [62][2240/3757] lr: 1.000e-03 eta: 11:00:20 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 7.2839 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3501 loss: 1.3501 2022/06/30 09:09:00 - mmengine - INFO - Epoch(train) [62][2260/3757] lr: 1.000e-03 eta: 11:00:14 time: 0.276 data_time: 0.021 memory: 6404 grad_norm: 8.4151 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3089 loss: 1.3089 2022/06/30 09:09:06 - mmengine - INFO - Epoch(train) [62][2280/3757] lr: 1.000e-03 eta: 11:00:09 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.3593 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4268 loss: 1.4268 2022/06/30 09:09:11 - mmengine - INFO - Epoch(train) [62][2300/3757] lr: 1.000e-03 eta: 11:00:03 time: 0.245 data_time: 0.012 memory: 6404 grad_norm: 8.3375 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0344 loss: 1.0344 2022/06/30 09:09:17 - mmengine - INFO - Epoch(train) [62][2320/3757] lr: 1.000e-03 eta: 10:59:58 time: 0.272 data_time: 0.038 memory: 6404 grad_norm: 8.1558 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1316 loss: 1.1316 2022/06/30 09:09:22 - mmengine - INFO - Epoch(train) [62][2340/3757] lr: 1.000e-03 eta: 10:59:52 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.1295 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3691 loss: 1.3691 2022/06/30 09:09:27 - mmengine - INFO - Epoch(train) [62][2360/3757] lr: 1.000e-03 eta: 10:59:47 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.6438 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9903 loss: 0.9903 2022/06/30 09:09:33 - mmengine - INFO - Epoch(train) [62][2380/3757] lr: 1.000e-03 eta: 10:59:41 time: 0.255 data_time: 0.034 memory: 6404 grad_norm: 6.0353 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6601 loss: 1.6601 2022/06/30 09:09:38 - mmengine - INFO - Epoch(train) [62][2400/3757] lr: 1.000e-03 eta: 10:59:35 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 7.1784 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0264 loss: 1.0264 2022/06/30 09:09:44 - mmengine - INFO - Epoch(train) [62][2420/3757] lr: 1.000e-03 eta: 10:59:30 time: 0.414 data_time: 0.007 memory: 6404 grad_norm: 8.5097 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2882 loss: 1.2882 2022/06/30 09:09:49 - mmengine - INFO - Epoch(train) [62][2440/3757] lr: 1.000e-03 eta: 10:59:24 time: 0.265 data_time: 0.068 memory: 6404 grad_norm: 7.7782 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0059 loss: 1.0059 2022/06/30 09:09:55 - mmengine - INFO - Epoch(train) [62][2460/3757] lr: 1.000e-03 eta: 10:59:19 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 6.8285 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2583 loss: 1.2583 2022/06/30 09:10:00 - mmengine - INFO - Epoch(train) [62][2480/3757] lr: 1.000e-03 eta: 10:59:13 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 6.4153 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2636 loss: 1.2636 2022/06/30 09:10:06 - mmengine - INFO - Epoch(train) [62][2500/3757] lr: 1.000e-03 eta: 10:59:08 time: 0.253 data_time: 0.048 memory: 6404 grad_norm: 7.7685 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2113 loss: 1.2113 2022/06/30 09:10:11 - mmengine - INFO - Epoch(train) [62][2520/3757] lr: 1.000e-03 eta: 10:59:02 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 8.3781 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2675 loss: 1.2675 2022/06/30 09:10:17 - mmengine - INFO - Epoch(train) [62][2540/3757] lr: 1.000e-03 eta: 10:58:57 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.8291 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0148 loss: 1.0148 2022/06/30 09:10:22 - mmengine - INFO - Epoch(train) [62][2560/3757] lr: 1.000e-03 eta: 10:58:51 time: 0.257 data_time: 0.035 memory: 6404 grad_norm: 5.9418 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9963 loss: 0.9963 2022/06/30 09:10:27 - mmengine - INFO - Epoch(train) [62][2580/3757] lr: 1.000e-03 eta: 10:58:46 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.8714 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1975 loss: 1.1975 2022/06/30 09:10:33 - mmengine - INFO - Epoch(train) [62][2600/3757] lr: 1.000e-03 eta: 10:58:40 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 7.2087 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4504 loss: 1.4504 2022/06/30 09:10:38 - mmengine - INFO - Epoch(train) [62][2620/3757] lr: 1.000e-03 eta: 10:58:35 time: 0.255 data_time: 0.024 memory: 6404 grad_norm: 5.5603 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3003 loss: 1.3003 2022/06/30 09:10:43 - mmengine - INFO - Epoch(train) [62][2640/3757] lr: 1.000e-03 eta: 10:58:29 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 8.1746 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1269 loss: 1.1269 2022/06/30 09:10:49 - mmengine - INFO - Epoch(train) [62][2660/3757] lr: 1.000e-03 eta: 10:58:24 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.8798 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3169 loss: 1.3169 2022/06/30 09:10:55 - mmengine - INFO - Epoch(train) [62][2680/3757] lr: 1.000e-03 eta: 10:58:18 time: 0.277 data_time: 0.063 memory: 6404 grad_norm: 6.8344 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8335 loss: 0.8335 2022/06/30 09:11:00 - mmengine - INFO - Epoch(train) [62][2700/3757] lr: 1.000e-03 eta: 10:58:13 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.3020 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1523 loss: 1.1523 2022/06/30 09:11:06 - mmengine - INFO - Epoch(train) [62][2720/3757] lr: 1.000e-03 eta: 10:58:07 time: 0.246 data_time: 0.017 memory: 6404 grad_norm: 8.6245 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9587 loss: 0.9587 2022/06/30 09:11:11 - mmengine - INFO - Epoch(train) [62][2740/3757] lr: 1.000e-03 eta: 10:58:02 time: 0.254 data_time: 0.022 memory: 6404 grad_norm: 7.7898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3472 loss: 1.3472 2022/06/30 09:11:16 - mmengine - INFO - Epoch(train) [62][2760/3757] lr: 1.000e-03 eta: 10:57:56 time: 0.270 data_time: 0.007 memory: 6404 grad_norm: 7.9549 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2703 loss: 1.2703 2022/06/30 09:11:22 - mmengine - INFO - Epoch(train) [62][2780/3757] lr: 1.000e-03 eta: 10:57:50 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 6.8880 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3291 loss: 1.3291 2022/06/30 09:11:27 - mmengine - INFO - Epoch(train) [62][2800/3757] lr: 1.000e-03 eta: 10:57:45 time: 0.258 data_time: 0.031 memory: 6404 grad_norm: 6.4730 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0968 loss: 1.0968 2022/06/30 09:11:32 - mmengine - INFO - Epoch(train) [62][2820/3757] lr: 1.000e-03 eta: 10:57:39 time: 0.277 data_time: 0.007 memory: 6404 grad_norm: 6.9107 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0575 loss: 1.0575 2022/06/30 09:11:33 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 09:11:38 - mmengine - INFO - Epoch(train) [62][2840/3757] lr: 1.000e-03 eta: 10:57:34 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.0333 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3247 loss: 1.3247 2022/06/30 09:11:44 - mmengine - INFO - Epoch(train) [62][2860/3757] lr: 1.000e-03 eta: 10:57:29 time: 0.249 data_time: 0.022 memory: 6404 grad_norm: 7.5816 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1540 loss: 1.1540 2022/06/30 09:11:49 - mmengine - INFO - Epoch(train) [62][2880/3757] lr: 1.000e-03 eta: 10:57:23 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 6.9985 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9080 loss: 0.9080 2022/06/30 09:11:55 - mmengine - INFO - Epoch(train) [62][2900/3757] lr: 1.000e-03 eta: 10:57:18 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 7.8487 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0402 loss: 1.0402 2022/06/30 09:12:00 - mmengine - INFO - Epoch(train) [62][2920/3757] lr: 1.000e-03 eta: 10:57:12 time: 0.251 data_time: 0.055 memory: 6404 grad_norm: 7.1833 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1003 loss: 1.1003 2022/06/30 09:12:06 - mmengine - INFO - Epoch(train) [62][2940/3757] lr: 1.000e-03 eta: 10:57:07 time: 0.264 data_time: 0.015 memory: 6404 grad_norm: 7.0440 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1324 loss: 1.1324 2022/06/30 09:12:11 - mmengine - INFO - Epoch(train) [62][2960/3757] lr: 1.000e-03 eta: 10:57:01 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 8.1077 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4454 loss: 1.4454 2022/06/30 09:12:17 - mmengine - INFO - Epoch(train) [62][2980/3757] lr: 1.000e-03 eta: 10:56:56 time: 0.253 data_time: 0.020 memory: 6404 grad_norm: 5.8692 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1181 loss: 1.1181 2022/06/30 09:12:22 - mmengine - INFO - Epoch(train) [62][3000/3757] lr: 1.000e-03 eta: 10:56:50 time: 0.277 data_time: 0.007 memory: 6404 grad_norm: 8.9958 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1402 loss: 1.1402 2022/06/30 09:12:28 - mmengine - INFO - Epoch(train) [62][3020/3757] lr: 1.000e-03 eta: 10:56:45 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 8.4211 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1953 loss: 1.1953 2022/06/30 09:12:33 - mmengine - INFO - Epoch(train) [62][3040/3757] lr: 1.000e-03 eta: 10:56:39 time: 0.258 data_time: 0.018 memory: 6404 grad_norm: 7.2175 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4081 loss: 1.4081 2022/06/30 09:12:39 - mmengine - INFO - Epoch(train) [62][3060/3757] lr: 1.000e-03 eta: 10:56:34 time: 0.241 data_time: 0.007 memory: 6404 grad_norm: 7.0702 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1046 loss: 1.1046 2022/06/30 09:12:44 - mmengine - INFO - Epoch(train) [62][3080/3757] lr: 1.000e-03 eta: 10:56:28 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 8.6594 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2241 loss: 1.2241 2022/06/30 09:12:50 - mmengine - INFO - Epoch(train) [62][3100/3757] lr: 1.000e-03 eta: 10:56:23 time: 0.253 data_time: 0.020 memory: 6404 grad_norm: 7.7168 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3507 loss: 1.3507 2022/06/30 09:12:55 - mmengine - INFO - Epoch(train) [62][3120/3757] lr: 1.000e-03 eta: 10:56:17 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.6146 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1804 loss: 1.1804 2022/06/30 09:13:01 - mmengine - INFO - Epoch(train) [62][3140/3757] lr: 1.000e-03 eta: 10:56:12 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 6.7281 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1389 loss: 1.1389 2022/06/30 09:13:07 - mmengine - INFO - Epoch(train) [62][3160/3757] lr: 1.000e-03 eta: 10:56:06 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 7.6073 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0270 loss: 1.0270 2022/06/30 09:13:13 - mmengine - INFO - Epoch(train) [62][3180/3757] lr: 1.000e-03 eta: 10:56:01 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 6.6029 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6889 loss: 1.6889 2022/06/30 09:13:18 - mmengine - INFO - Epoch(train) [62][3200/3757] lr: 1.000e-03 eta: 10:55:56 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 6.9896 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4020 loss: 1.4020 2022/06/30 09:13:23 - mmengine - INFO - Epoch(train) [62][3220/3757] lr: 1.000e-03 eta: 10:55:50 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 6.1094 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2823 loss: 1.2823 2022/06/30 09:13:28 - mmengine - INFO - Epoch(train) [62][3240/3757] lr: 1.000e-03 eta: 10:55:44 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.4163 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1808 loss: 1.1808 2022/06/30 09:13:34 - mmengine - INFO - Epoch(train) [62][3260/3757] lr: 1.000e-03 eta: 10:55:39 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 7.3172 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3359 loss: 1.3359 2022/06/30 09:13:40 - mmengine - INFO - Epoch(train) [62][3280/3757] lr: 1.000e-03 eta: 10:55:33 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 5.6917 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3867 loss: 1.3867 2022/06/30 09:13:45 - mmengine - INFO - Epoch(train) [62][3300/3757] lr: 1.000e-03 eta: 10:55:28 time: 0.290 data_time: 0.009 memory: 6404 grad_norm: 9.2637 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9643 loss: 0.9643 2022/06/30 09:13:50 - mmengine - INFO - Epoch(train) [62][3320/3757] lr: 1.000e-03 eta: 10:55:22 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 6.3600 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2786 loss: 1.2786 2022/06/30 09:13:55 - mmengine - INFO - Epoch(train) [62][3340/3757] lr: 1.000e-03 eta: 10:55:16 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 7.5736 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2076 loss: 1.2076 2022/06/30 09:14:01 - mmengine - INFO - Epoch(train) [62][3360/3757] lr: 1.000e-03 eta: 10:55:11 time: 0.277 data_time: 0.017 memory: 6404 grad_norm: 6.6297 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4872 loss: 1.4872 2022/06/30 09:14:07 - mmengine - INFO - Epoch(train) [62][3380/3757] lr: 1.000e-03 eta: 10:55:06 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 7.9970 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5628 loss: 1.5628 2022/06/30 09:14:12 - mmengine - INFO - Epoch(train) [62][3400/3757] lr: 1.000e-03 eta: 10:55:00 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.3303 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2179 loss: 1.2179 2022/06/30 09:14:18 - mmengine - INFO - Epoch(train) [62][3420/3757] lr: 1.000e-03 eta: 10:54:55 time: 0.250 data_time: 0.019 memory: 6404 grad_norm: 6.7273 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4296 loss: 1.4296 2022/06/30 09:14:23 - mmengine - INFO - Epoch(train) [62][3440/3757] lr: 1.000e-03 eta: 10:54:49 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.3226 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2055 loss: 1.2055 2022/06/30 09:14:29 - mmengine - INFO - Epoch(train) [62][3460/3757] lr: 1.000e-03 eta: 10:54:44 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 5.6813 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3495 loss: 1.3495 2022/06/30 09:14:35 - mmengine - INFO - Epoch(train) [62][3480/3757] lr: 1.000e-03 eta: 10:54:38 time: 0.284 data_time: 0.007 memory: 6404 grad_norm: 7.6924 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3576 loss: 1.3576 2022/06/30 09:14:40 - mmengine - INFO - Epoch(train) [62][3500/3757] lr: 1.000e-03 eta: 10:54:33 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 8.3714 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6959 loss: 1.6959 2022/06/30 09:14:46 - mmengine - INFO - Epoch(train) [62][3520/3757] lr: 1.000e-03 eta: 10:54:27 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 7.7279 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0050 loss: 1.0050 2022/06/30 09:14:51 - mmengine - INFO - Epoch(train) [62][3540/3757] lr: 1.000e-03 eta: 10:54:22 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 8.5172 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0287 loss: 1.0287 2022/06/30 09:14:56 - mmengine - INFO - Epoch(train) [62][3560/3757] lr: 1.000e-03 eta: 10:54:16 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.8353 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5042 loss: 1.5042 2022/06/30 09:15:02 - mmengine - INFO - Epoch(train) [62][3580/3757] lr: 1.000e-03 eta: 10:54:11 time: 0.246 data_time: 0.013 memory: 6404 grad_norm: 6.9188 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1514 loss: 1.1514 2022/06/30 09:15:08 - mmengine - INFO - Epoch(train) [62][3600/3757] lr: 1.000e-03 eta: 10:54:05 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.2811 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0416 loss: 1.0416 2022/06/30 09:15:13 - mmengine - INFO - Epoch(train) [62][3620/3757] lr: 1.000e-03 eta: 10:54:00 time: 0.286 data_time: 0.007 memory: 6404 grad_norm: 8.0171 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0946 loss: 1.0946 2022/06/30 09:15:19 - mmengine - INFO - Epoch(train) [62][3640/3757] lr: 1.000e-03 eta: 10:53:54 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 6.2132 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9500 loss: 0.9500 2022/06/30 09:15:24 - mmengine - INFO - Epoch(train) [62][3660/3757] lr: 1.000e-03 eta: 10:53:49 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.5347 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1786 loss: 1.1786 2022/06/30 09:15:30 - mmengine - INFO - Epoch(train) [62][3680/3757] lr: 1.000e-03 eta: 10:53:43 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 8.4750 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0947 loss: 1.0947 2022/06/30 09:15:35 - mmengine - INFO - Epoch(train) [62][3700/3757] lr: 1.000e-03 eta: 10:53:38 time: 0.302 data_time: 0.008 memory: 6404 grad_norm: 7.7615 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2460 loss: 1.2460 2022/06/30 09:15:40 - mmengine - INFO - Epoch(train) [62][3720/3757] lr: 1.000e-03 eta: 10:53:32 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 5.4355 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1405 loss: 1.1405 2022/06/30 09:15:45 - mmengine - INFO - Epoch(train) [62][3740/3757] lr: 1.000e-03 eta: 10:53:27 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 8.4548 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.6244 loss: 1.6244 2022/06/30 09:15:50 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 09:15:57 - mmengine - INFO - Epoch(val) [62][20/310] eta: 0:01:32 time: 0.093 data_time: 0.009 memory: 6404 2022/06/30 09:16:02 - mmengine - INFO - Epoch(val) [62][40/310] eta: 0:01:16 time: 0.086 data_time: 0.013 memory: 1479 2022/06/30 09:16:06 - mmengine - INFO - Epoch(val) [62][60/310] eta: 0:00:22 time: 0.088 data_time: 0.009 memory: 1479 2022/06/30 09:16:12 - mmengine - INFO - Epoch(val) [62][80/310] eta: 0:01:13 time: 0.087 data_time: 0.005 memory: 1479 2022/06/30 09:16:18 - mmengine - INFO - Epoch(val) [62][100/310] eta: 0:01:04 time: 0.905 data_time: 0.820 memory: 1479 2022/06/30 09:16:22 - mmengine - INFO - Epoch(val) [62][120/310] eta: 0:00:33 time: 0.093 data_time: 0.009 memory: 1479 2022/06/30 09:16:29 - mmengine - INFO - Epoch(val) [62][140/310] eta: 0:00:53 time: 0.096 data_time: 0.006 memory: 1479 2022/06/30 09:16:35 - mmengine - INFO - Epoch(val) [62][160/310] eta: 0:00:47 time: 1.950 data_time: 1.857 memory: 1479 2022/06/30 09:16:39 - mmengine - INFO - Epoch(val) [62][180/310] eta: 0:00:39 time: 0.080 data_time: 0.006 memory: 1479 2022/06/30 09:16:45 - mmengine - INFO - Epoch(val) [62][200/310] eta: 0:00:34 time: 0.094 data_time: 0.005 memory: 1479 2022/06/30 09:16:50 - mmengine - INFO - Epoch(val) [62][220/310] eta: 0:00:24 time: 1.010 data_time: 0.928 memory: 1479 2022/06/30 09:16:54 - mmengine - INFO - Epoch(val) [62][240/310] eta: 0:00:19 time: 0.095 data_time: 0.007 memory: 1479 2022/06/30 09:17:01 - mmengine - INFO - Epoch(val) [62][260/310] eta: 0:00:16 time: 0.090 data_time: 0.011 memory: 1479 2022/06/30 09:17:07 - mmengine - INFO - Epoch(val) [62][280/310] eta: 0:00:09 time: 1.374 data_time: 1.280 memory: 1479 2022/06/30 09:17:11 - mmengine - INFO - Epoch(val) [62][300/310] eta: 0:00:02 time: 0.087 data_time: 0.007 memory: 1479 2022/06/30 09:17:13 - mmengine - INFO - Epoch(val) [62][310/310] acc/top1: 0.6674 acc/top5: 0.8686 acc/mean1: 0.6672 2022/06/30 09:17:22 - mmengine - INFO - Epoch(train) [63][20/3757] lr: 1.000e-03 eta: 10:53:17 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.0161 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1976 loss: 1.1976 2022/06/30 09:17:27 - mmengine - INFO - Epoch(train) [63][40/3757] lr: 1.000e-03 eta: 10:53:12 time: 0.237 data_time: 0.006 memory: 6404 grad_norm: 6.3560 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7926 loss: 0.7926 2022/06/30 09:17:33 - mmengine - INFO - Epoch(train) [63][60/3757] lr: 1.000e-03 eta: 10:53:06 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.1098 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 0.9103 loss: 0.9103 2022/06/30 09:17:35 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 09:17:39 - mmengine - INFO - Epoch(train) [63][80/3757] lr: 1.000e-03 eta: 10:53:01 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 7.2218 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2349 loss: 1.2349 2022/06/30 09:17:44 - mmengine - INFO - Epoch(train) [63][100/3757] lr: 1.000e-03 eta: 10:52:55 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 6.8409 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8621 loss: 0.8621 2022/06/30 09:17:50 - mmengine - INFO - Epoch(train) [63][120/3757] lr: 1.000e-03 eta: 10:52:50 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 7.8695 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1181 loss: 1.1181 2022/06/30 09:17:55 - mmengine - INFO - Epoch(train) [63][140/3757] lr: 1.000e-03 eta: 10:52:44 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 6.8239 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2530 loss: 1.2530 2022/06/30 09:18:02 - mmengine - INFO - Epoch(train) [63][160/3757] lr: 1.000e-03 eta: 10:52:39 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.4334 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2708 loss: 1.2708 2022/06/30 09:18:07 - mmengine - INFO - Epoch(train) [63][180/3757] lr: 1.000e-03 eta: 10:52:34 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 6.1218 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3216 loss: 1.3216 2022/06/30 09:18:12 - mmengine - INFO - Epoch(train) [63][200/3757] lr: 1.000e-03 eta: 10:52:28 time: 0.269 data_time: 0.010 memory: 6404 grad_norm: 6.8050 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2438 loss: 1.2438 2022/06/30 09:18:18 - mmengine - INFO - Epoch(train) [63][220/3757] lr: 1.000e-03 eta: 10:52:23 time: 0.250 data_time: 0.016 memory: 6404 grad_norm: 8.7110 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2714 loss: 1.2714 2022/06/30 09:18:23 - mmengine - INFO - Epoch(train) [63][240/3757] lr: 1.000e-03 eta: 10:52:17 time: 0.273 data_time: 0.011 memory: 6404 grad_norm: 6.5145 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5743 loss: 1.5743 2022/06/30 09:18:28 - mmengine - INFO - Epoch(train) [63][260/3757] lr: 1.000e-03 eta: 10:52:11 time: 0.246 data_time: 0.017 memory: 6404 grad_norm: 7.8378 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0745 loss: 1.0745 2022/06/30 09:18:33 - mmengine - INFO - Epoch(train) [63][280/3757] lr: 1.000e-03 eta: 10:52:06 time: 0.245 data_time: 0.017 memory: 6404 grad_norm: 6.2030 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2511 loss: 1.2511 2022/06/30 09:18:39 - mmengine - INFO - Epoch(train) [63][300/3757] lr: 1.000e-03 eta: 10:52:00 time: 0.268 data_time: 0.008 memory: 6404 grad_norm: 8.1738 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1569 loss: 1.1569 2022/06/30 09:18:44 - mmengine - INFO - Epoch(train) [63][320/3757] lr: 1.000e-03 eta: 10:51:55 time: 0.242 data_time: 0.017 memory: 6404 grad_norm: 7.4817 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1498 loss: 1.1498 2022/06/30 09:18:50 - mmengine - INFO - Epoch(train) [63][340/3757] lr: 1.000e-03 eta: 10:51:49 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.2758 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1604 loss: 1.1604 2022/06/30 09:18:56 - mmengine - INFO - Epoch(train) [63][360/3757] lr: 1.000e-03 eta: 10:51:44 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 7.1802 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0050 loss: 1.0050 2022/06/30 09:19:01 - mmengine - INFO - Epoch(train) [63][380/3757] lr: 1.000e-03 eta: 10:51:38 time: 0.247 data_time: 0.013 memory: 6404 grad_norm: 7.3436 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2958 loss: 1.2958 2022/06/30 09:19:06 - mmengine - INFO - Epoch(train) [63][400/3757] lr: 1.000e-03 eta: 10:51:33 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.0693 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2678 loss: 1.2678 2022/06/30 09:19:12 - mmengine - INFO - Epoch(train) [63][420/3757] lr: 1.000e-03 eta: 10:51:27 time: 0.279 data_time: 0.007 memory: 6404 grad_norm: 8.2412 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6075 loss: 1.6075 2022/06/30 09:19:18 - mmengine - INFO - Epoch(train) [63][440/3757] lr: 1.000e-03 eta: 10:51:22 time: 0.248 data_time: 0.013 memory: 6404 grad_norm: 7.5745 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3132 loss: 1.3132 2022/06/30 09:19:23 - mmengine - INFO - Epoch(train) [63][460/3757] lr: 1.000e-03 eta: 10:51:16 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 7.9168 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3375 loss: 1.3375 2022/06/30 09:19:28 - mmengine - INFO - Epoch(train) [63][480/3757] lr: 1.000e-03 eta: 10:51:11 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 6.4906 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1059 loss: 1.1059 2022/06/30 09:19:34 - mmengine - INFO - Epoch(train) [63][500/3757] lr: 1.000e-03 eta: 10:51:05 time: 0.300 data_time: 0.012 memory: 6404 grad_norm: 6.1882 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0713 loss: 1.0713 2022/06/30 09:19:40 - mmengine - INFO - Epoch(train) [63][520/3757] lr: 1.000e-03 eta: 10:51:00 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 7.9918 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5800 loss: 1.5800 2022/06/30 09:19:45 - mmengine - INFO - Epoch(train) [63][540/3757] lr: 1.000e-03 eta: 10:50:54 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 5.8658 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2378 loss: 1.2378 2022/06/30 09:19:50 - mmengine - INFO - Epoch(train) [63][560/3757] lr: 1.000e-03 eta: 10:50:49 time: 0.241 data_time: 0.010 memory: 6404 grad_norm: 6.3172 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5790 loss: 1.5790 2022/06/30 09:19:56 - mmengine - INFO - Epoch(train) [63][580/3757] lr: 1.000e-03 eta: 10:50:43 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 8.8390 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0836 loss: 1.0836 2022/06/30 09:20:01 - mmengine - INFO - Epoch(train) [63][600/3757] lr: 1.000e-03 eta: 10:50:38 time: 0.256 data_time: 0.016 memory: 6404 grad_norm: 7.7015 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4124 loss: 1.4124 2022/06/30 09:20:07 - mmengine - INFO - Epoch(train) [63][620/3757] lr: 1.000e-03 eta: 10:50:32 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 6.8527 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0759 loss: 1.0759 2022/06/30 09:20:12 - mmengine - INFO - Epoch(train) [63][640/3757] lr: 1.000e-03 eta: 10:50:27 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 7.1200 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9798 loss: 0.9798 2022/06/30 09:20:17 - mmengine - INFO - Epoch(train) [63][660/3757] lr: 1.000e-03 eta: 10:50:21 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 7.5563 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1890 loss: 1.1890 2022/06/30 09:20:23 - mmengine - INFO - Epoch(train) [63][680/3757] lr: 1.000e-03 eta: 10:50:15 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 8.9539 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0890 loss: 1.0890 2022/06/30 09:20:29 - mmengine - INFO - Epoch(train) [63][700/3757] lr: 1.000e-03 eta: 10:50:10 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 7.4519 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0039 loss: 1.0039 2022/06/30 09:20:34 - mmengine - INFO - Epoch(train) [63][720/3757] lr: 1.000e-03 eta: 10:50:04 time: 0.266 data_time: 0.012 memory: 6404 grad_norm: 7.3814 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5132 loss: 1.5132 2022/06/30 09:20:39 - mmengine - INFO - Epoch(train) [63][740/3757] lr: 1.000e-03 eta: 10:49:59 time: 0.270 data_time: 0.008 memory: 6404 grad_norm: 7.0192 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1928 loss: 1.1928 2022/06/30 09:20:44 - mmengine - INFO - Epoch(train) [63][760/3757] lr: 1.000e-03 eta: 10:49:53 time: 0.238 data_time: 0.014 memory: 6404 grad_norm: 6.6020 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9422 loss: 0.9422 2022/06/30 09:20:50 - mmengine - INFO - Epoch(train) [63][780/3757] lr: 1.000e-03 eta: 10:49:48 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 7.5835 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0596 loss: 1.0596 2022/06/30 09:20:55 - mmengine - INFO - Epoch(train) [63][800/3757] lr: 1.000e-03 eta: 10:49:42 time: 0.255 data_time: 0.014 memory: 6404 grad_norm: 7.6927 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4233 loss: 1.4233 2022/06/30 09:21:01 - mmengine - INFO - Epoch(train) [63][820/3757] lr: 1.000e-03 eta: 10:49:37 time: 0.272 data_time: 0.020 memory: 6404 grad_norm: 7.6668 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0526 loss: 1.0526 2022/06/30 09:21:06 - mmengine - INFO - Epoch(train) [63][840/3757] lr: 1.000e-03 eta: 10:49:31 time: 0.257 data_time: 0.015 memory: 6404 grad_norm: 7.4101 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9546 loss: 0.9546 2022/06/30 09:21:12 - mmengine - INFO - Epoch(train) [63][860/3757] lr: 1.000e-03 eta: 10:49:25 time: 0.270 data_time: 0.007 memory: 6404 grad_norm: 7.8701 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9760 loss: 0.9760 2022/06/30 09:21:17 - mmengine - INFO - Epoch(train) [63][880/3757] lr: 1.000e-03 eta: 10:49:20 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 5.5603 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2874 loss: 1.2874 2022/06/30 09:21:22 - mmengine - INFO - Epoch(train) [63][900/3757] lr: 1.000e-03 eta: 10:49:14 time: 0.248 data_time: 0.015 memory: 6404 grad_norm: 7.4018 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0029 loss: 1.0029 2022/06/30 09:21:28 - mmengine - INFO - Epoch(train) [63][920/3757] lr: 1.000e-03 eta: 10:49:09 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 7.5511 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6478 loss: 1.6478 2022/06/30 09:21:33 - mmengine - INFO - Epoch(train) [63][940/3757] lr: 1.000e-03 eta: 10:49:03 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 7.7755 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3514 loss: 1.3514 2022/06/30 09:21:39 - mmengine - INFO - Epoch(train) [63][960/3757] lr: 1.000e-03 eta: 10:48:58 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 7.3827 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8980 loss: 0.8980 2022/06/30 09:21:44 - mmengine - INFO - Epoch(train) [63][980/3757] lr: 1.000e-03 eta: 10:48:52 time: 0.260 data_time: 0.009 memory: 6404 grad_norm: 8.5390 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2330 loss: 1.2330 2022/06/30 09:21:50 - mmengine - INFO - Epoch(train) [63][1000/3757] lr: 1.000e-03 eta: 10:48:47 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 7.8236 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3043 loss: 1.3043 2022/06/30 09:21:55 - mmengine - INFO - Epoch(train) [63][1020/3757] lr: 1.000e-03 eta: 10:48:41 time: 0.286 data_time: 0.008 memory: 6404 grad_norm: 8.0474 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2822 loss: 1.2822 2022/06/30 09:22:00 - mmengine - INFO - Epoch(train) [63][1040/3757] lr: 1.000e-03 eta: 10:48:36 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 6.9144 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9772 loss: 0.9772 2022/06/30 09:22:06 - mmengine - INFO - Epoch(train) [63][1060/3757] lr: 1.000e-03 eta: 10:48:30 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.0149 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4155 loss: 1.4155 2022/06/30 09:22:08 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 09:22:11 - mmengine - INFO - Epoch(train) [63][1080/3757] lr: 1.000e-03 eta: 10:48:24 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 7.7655 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2058 loss: 1.2058 2022/06/30 09:22:17 - mmengine - INFO - Epoch(train) [63][1100/3757] lr: 1.000e-03 eta: 10:48:19 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.5039 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3212 loss: 1.3212 2022/06/30 09:22:22 - mmengine - INFO - Epoch(train) [63][1120/3757] lr: 1.000e-03 eta: 10:48:13 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 7.1591 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0069 loss: 1.0069 2022/06/30 09:22:28 - mmengine - INFO - Epoch(train) [63][1140/3757] lr: 1.000e-03 eta: 10:48:08 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.9682 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2108 loss: 1.2108 2022/06/30 09:22:33 - mmengine - INFO - Epoch(train) [63][1160/3757] lr: 1.000e-03 eta: 10:48:02 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 6.3411 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9293 loss: 0.9293 2022/06/30 09:22:39 - mmengine - INFO - Epoch(train) [63][1180/3757] lr: 1.000e-03 eta: 10:47:57 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 8.3408 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9904 loss: 0.9904 2022/06/30 09:22:44 - mmengine - INFO - Epoch(train) [63][1200/3757] lr: 1.000e-03 eta: 10:47:52 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 8.5654 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3101 loss: 1.3101 2022/06/30 09:22:50 - mmengine - INFO - Epoch(train) [63][1220/3757] lr: 1.000e-03 eta: 10:47:46 time: 0.273 data_time: 0.009 memory: 6404 grad_norm: 7.0714 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3439 loss: 1.3439 2022/06/30 09:22:56 - mmengine - INFO - Epoch(train) [63][1240/3757] lr: 1.000e-03 eta: 10:47:41 time: 0.263 data_time: 0.013 memory: 6404 grad_norm: 6.7897 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1564 loss: 1.1564 2022/06/30 09:23:01 - mmengine - INFO - Epoch(train) [63][1260/3757] lr: 1.000e-03 eta: 10:47:35 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 7.2880 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2992 loss: 1.2992 2022/06/30 09:23:06 - mmengine - INFO - Epoch(train) [63][1280/3757] lr: 1.000e-03 eta: 10:47:30 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 7.0409 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9573 loss: 0.9573 2022/06/30 09:23:12 - mmengine - INFO - Epoch(train) [63][1300/3757] lr: 1.000e-03 eta: 10:47:24 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 8.7561 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1856 loss: 1.1856 2022/06/30 09:23:17 - mmengine - INFO - Epoch(train) [63][1320/3757] lr: 1.000e-03 eta: 10:47:19 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 8.0878 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9867 loss: 0.9867 2022/06/30 09:23:23 - mmengine - INFO - Epoch(train) [63][1340/3757] lr: 1.000e-03 eta: 10:47:13 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 8.0065 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1575 loss: 1.1575 2022/06/30 09:23:28 - mmengine - INFO - Epoch(train) [63][1360/3757] lr: 1.000e-03 eta: 10:47:08 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 5.7848 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8528 loss: 0.8528 2022/06/30 09:23:34 - mmengine - INFO - Epoch(train) [63][1380/3757] lr: 1.000e-03 eta: 10:47:02 time: 0.265 data_time: 0.014 memory: 6404 grad_norm: 7.4604 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4295 loss: 1.4295 2022/06/30 09:23:39 - mmengine - INFO - Epoch(train) [63][1400/3757] lr: 1.000e-03 eta: 10:46:56 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 8.1326 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5180 loss: 1.5180 2022/06/30 09:23:44 - mmengine - INFO - Epoch(train) [63][1420/3757] lr: 1.000e-03 eta: 10:46:51 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 7.3337 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2457 loss: 1.2457 2022/06/30 09:23:50 - mmengine - INFO - Epoch(train) [63][1440/3757] lr: 1.000e-03 eta: 10:46:45 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 7.7828 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0947 loss: 1.0947 2022/06/30 09:23:55 - mmengine - INFO - Epoch(train) [63][1460/3757] lr: 1.000e-03 eta: 10:46:40 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 7.7392 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2145 loss: 1.2145 2022/06/30 09:24:01 - mmengine - INFO - Epoch(train) [63][1480/3757] lr: 1.000e-03 eta: 10:46:34 time: 0.265 data_time: 0.017 memory: 6404 grad_norm: 8.6328 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1937 loss: 1.1937 2022/06/30 09:24:07 - mmengine - INFO - Epoch(train) [63][1500/3757] lr: 1.000e-03 eta: 10:46:29 time: 0.241 data_time: 0.008 memory: 6404 grad_norm: 8.0920 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0788 loss: 1.0788 2022/06/30 09:24:12 - mmengine - INFO - Epoch(train) [63][1520/3757] lr: 1.000e-03 eta: 10:46:23 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 8.9565 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7592 loss: 1.7592 2022/06/30 09:24:17 - mmengine - INFO - Epoch(train) [63][1540/3757] lr: 1.000e-03 eta: 10:46:18 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 7.4973 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3537 loss: 1.3537 2022/06/30 09:24:22 - mmengine - INFO - Epoch(train) [63][1560/3757] lr: 1.000e-03 eta: 10:46:12 time: 0.239 data_time: 0.020 memory: 6404 grad_norm: 7.4931 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2362 loss: 1.2362 2022/06/30 09:24:28 - mmengine - INFO - Epoch(train) [63][1580/3757] lr: 1.000e-03 eta: 10:46:06 time: 0.278 data_time: 0.013 memory: 6404 grad_norm: 6.4579 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2948 loss: 1.2948 2022/06/30 09:24:33 - mmengine - INFO - Epoch(train) [63][1600/3757] lr: 1.000e-03 eta: 10:46:01 time: 0.263 data_time: 0.016 memory: 6404 grad_norm: 6.4212 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4324 loss: 1.4324 2022/06/30 09:24:39 - mmengine - INFO - Epoch(train) [63][1620/3757] lr: 1.000e-03 eta: 10:45:55 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 8.2894 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1575 loss: 1.1575 2022/06/30 09:24:44 - mmengine - INFO - Epoch(train) [63][1640/3757] lr: 1.000e-03 eta: 10:45:50 time: 0.253 data_time: 0.016 memory: 6404 grad_norm: 7.8429 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9062 loss: 0.9062 2022/06/30 09:24:49 - mmengine - INFO - Epoch(train) [63][1660/3757] lr: 1.000e-03 eta: 10:45:44 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 6.2446 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8694 loss: 0.8694 2022/06/30 09:24:55 - mmengine - INFO - Epoch(train) [63][1680/3757] lr: 1.000e-03 eta: 10:45:39 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 9.0161 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9338 loss: 0.9338 2022/06/30 09:25:00 - mmengine - INFO - Epoch(train) [63][1700/3757] lr: 1.000e-03 eta: 10:45:33 time: 0.248 data_time: 0.022 memory: 6404 grad_norm: 7.8326 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2955 loss: 1.2955 2022/06/30 09:25:06 - mmengine - INFO - Epoch(train) [63][1720/3757] lr: 1.000e-03 eta: 10:45:28 time: 0.300 data_time: 0.007 memory: 6404 grad_norm: 7.3611 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0318 loss: 1.0318 2022/06/30 09:25:11 - mmengine - INFO - Epoch(train) [63][1740/3757] lr: 1.000e-03 eta: 10:45:22 time: 0.256 data_time: 0.030 memory: 6404 grad_norm: 5.9244 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4928 loss: 1.4928 2022/06/30 09:25:17 - mmengine - INFO - Epoch(train) [63][1760/3757] lr: 1.000e-03 eta: 10:45:17 time: 0.596 data_time: 0.010 memory: 6404 grad_norm: 7.8289 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1781 loss: 1.1781 2022/06/30 09:25:22 - mmengine - INFO - Epoch(train) [63][1780/3757] lr: 1.000e-03 eta: 10:45:11 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 9.1910 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1152 loss: 1.1152 2022/06/30 09:25:28 - mmengine - INFO - Epoch(train) [63][1800/3757] lr: 1.000e-03 eta: 10:45:06 time: 0.254 data_time: 0.022 memory: 6404 grad_norm: 7.8001 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8870 loss: 0.8870 2022/06/30 09:25:33 - mmengine - INFO - Epoch(train) [63][1820/3757] lr: 1.000e-03 eta: 10:45:00 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 8.3402 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2576 loss: 1.2576 2022/06/30 09:25:39 - mmengine - INFO - Epoch(train) [63][1840/3757] lr: 1.000e-03 eta: 10:44:55 time: 0.315 data_time: 0.007 memory: 6404 grad_norm: 8.0424 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5711 loss: 1.5711 2022/06/30 09:25:44 - mmengine - INFO - Epoch(train) [63][1860/3757] lr: 1.000e-03 eta: 10:44:49 time: 0.252 data_time: 0.044 memory: 6404 grad_norm: 7.5317 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0413 loss: 1.0413 2022/06/30 09:25:49 - mmengine - INFO - Epoch(train) [63][1880/3757] lr: 1.000e-03 eta: 10:44:44 time: 0.262 data_time: 0.014 memory: 6404 grad_norm: 7.3693 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9829 loss: 0.9829 2022/06/30 09:25:55 - mmengine - INFO - Epoch(train) [63][1900/3757] lr: 1.000e-03 eta: 10:44:38 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 8.1650 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3649 loss: 1.3649 2022/06/30 09:26:00 - mmengine - INFO - Epoch(train) [63][1920/3757] lr: 1.000e-03 eta: 10:44:32 time: 0.679 data_time: 0.492 memory: 6404 grad_norm: 6.7329 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2987 loss: 1.2987 2022/06/30 09:26:06 - mmengine - INFO - Epoch(train) [63][1940/3757] lr: 1.000e-03 eta: 10:44:27 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 8.5764 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9544 loss: 0.9544 2022/06/30 09:26:11 - mmengine - INFO - Epoch(train) [63][1960/3757] lr: 1.000e-03 eta: 10:44:21 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 9.3356 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1882 loss: 1.1882 2022/06/30 09:26:17 - mmengine - INFO - Epoch(train) [63][1980/3757] lr: 1.000e-03 eta: 10:44:16 time: 0.913 data_time: 0.728 memory: 6404 grad_norm: 7.6069 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9461 loss: 0.9461 2022/06/30 09:26:22 - mmengine - INFO - Epoch(train) [63][2000/3757] lr: 1.000e-03 eta: 10:44:11 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 7.7091 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1230 loss: 1.1230 2022/06/30 09:26:28 - mmengine - INFO - Epoch(train) [63][2020/3757] lr: 1.000e-03 eta: 10:44:05 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 6.5385 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9076 loss: 0.9076 2022/06/30 09:26:34 - mmengine - INFO - Epoch(train) [63][2040/3757] lr: 1.000e-03 eta: 10:44:00 time: 0.281 data_time: 0.085 memory: 6404 grad_norm: 7.0716 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7226 loss: 1.7226 2022/06/30 09:26:39 - mmengine - INFO - Epoch(train) [63][2060/3757] lr: 1.000e-03 eta: 10:43:54 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 8.1205 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5172 loss: 1.5172 2022/06/30 09:26:41 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 09:26:44 - mmengine - INFO - Epoch(train) [63][2080/3757] lr: 1.000e-03 eta: 10:43:49 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 7.4716 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3790 loss: 1.3790 2022/06/30 09:26:50 - mmengine - INFO - Epoch(train) [63][2100/3757] lr: 1.000e-03 eta: 10:43:43 time: 0.266 data_time: 0.078 memory: 6404 grad_norm: 6.6719 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3526 loss: 1.3526 2022/06/30 09:26:55 - mmengine - INFO - Epoch(train) [63][2120/3757] lr: 1.000e-03 eta: 10:43:38 time: 0.273 data_time: 0.013 memory: 6404 grad_norm: 9.1345 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2998 loss: 1.2998 2022/06/30 09:27:01 - mmengine - INFO - Epoch(train) [63][2140/3757] lr: 1.000e-03 eta: 10:43:32 time: 0.277 data_time: 0.007 memory: 6404 grad_norm: 9.6449 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8595 loss: 0.8595 2022/06/30 09:27:06 - mmengine - INFO - Epoch(train) [63][2160/3757] lr: 1.000e-03 eta: 10:43:27 time: 0.257 data_time: 0.063 memory: 6404 grad_norm: 8.3260 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4340 loss: 1.4340 2022/06/30 09:27:12 - mmengine - INFO - Epoch(train) [63][2180/3757] lr: 1.000e-03 eta: 10:43:21 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 8.4223 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5900 loss: 1.5900 2022/06/30 09:27:17 - mmengine - INFO - Epoch(train) [63][2200/3757] lr: 1.000e-03 eta: 10:43:15 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.4151 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2435 loss: 1.2435 2022/06/30 09:27:22 - mmengine - INFO - Epoch(train) [63][2220/3757] lr: 1.000e-03 eta: 10:43:10 time: 0.247 data_time: 0.050 memory: 6404 grad_norm: 8.9611 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4475 loss: 1.4475 2022/06/30 09:27:27 - mmengine - INFO - Epoch(train) [63][2240/3757] lr: 1.000e-03 eta: 10:43:04 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 9.5816 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.0364 loss: 1.0364 2022/06/30 09:27:32 - mmengine - INFO - Epoch(train) [63][2260/3757] lr: 1.000e-03 eta: 10:42:58 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.1885 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2225 loss: 1.2225 2022/06/30 09:27:38 - mmengine - INFO - Epoch(train) [63][2280/3757] lr: 1.000e-03 eta: 10:42:53 time: 0.268 data_time: 0.060 memory: 6404 grad_norm: 8.1728 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9532 loss: 0.9532 2022/06/30 09:27:43 - mmengine - INFO - Epoch(train) [63][2300/3757] lr: 1.000e-03 eta: 10:42:47 time: 0.250 data_time: 0.014 memory: 6404 grad_norm: 8.2979 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1189 loss: 1.1189 2022/06/30 09:27:49 - mmengine - INFO - Epoch(train) [63][2320/3757] lr: 1.000e-03 eta: 10:42:41 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 7.4103 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0272 loss: 1.0272 2022/06/30 09:27:54 - mmengine - INFO - Epoch(train) [63][2340/3757] lr: 1.000e-03 eta: 10:42:36 time: 0.292 data_time: 0.096 memory: 6404 grad_norm: 7.5887 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3375 loss: 1.3375 2022/06/30 09:28:00 - mmengine - INFO - Epoch(train) [63][2360/3757] lr: 1.000e-03 eta: 10:42:31 time: 0.242 data_time: 0.019 memory: 6404 grad_norm: 7.8291 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3941 loss: 1.3941 2022/06/30 09:28:05 - mmengine - INFO - Epoch(train) [63][2380/3757] lr: 1.000e-03 eta: 10:42:25 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.1633 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2151 loss: 1.2151 2022/06/30 09:28:11 - mmengine - INFO - Epoch(train) [63][2400/3757] lr: 1.000e-03 eta: 10:42:20 time: 0.259 data_time: 0.025 memory: 6404 grad_norm: 8.1568 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2498 loss: 1.2498 2022/06/30 09:28:16 - mmengine - INFO - Epoch(train) [63][2420/3757] lr: 1.000e-03 eta: 10:42:14 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 7.5848 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.3502 loss: 1.3502 2022/06/30 09:28:21 - mmengine - INFO - Epoch(train) [63][2440/3757] lr: 1.000e-03 eta: 10:42:08 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.5950 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0688 loss: 1.0688 2022/06/30 09:28:27 - mmengine - INFO - Epoch(train) [63][2460/3757] lr: 1.000e-03 eta: 10:42:03 time: 0.253 data_time: 0.040 memory: 6404 grad_norm: 8.0211 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2741 loss: 1.2741 2022/06/30 09:28:32 - mmengine - INFO - Epoch(train) [63][2480/3757] lr: 1.000e-03 eta: 10:41:57 time: 0.289 data_time: 0.008 memory: 6404 grad_norm: 6.9957 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0519 loss: 1.0519 2022/06/30 09:28:38 - mmengine - INFO - Epoch(train) [63][2500/3757] lr: 1.000e-03 eta: 10:41:52 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 7.6421 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3064 loss: 1.3064 2022/06/30 09:28:43 - mmengine - INFO - Epoch(train) [63][2520/3757] lr: 1.000e-03 eta: 10:41:46 time: 0.256 data_time: 0.025 memory: 6404 grad_norm: 7.5388 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8588 loss: 0.8588 2022/06/30 09:28:49 - mmengine - INFO - Epoch(train) [63][2540/3757] lr: 1.000e-03 eta: 10:41:41 time: 0.270 data_time: 0.006 memory: 6404 grad_norm: 6.7822 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0870 loss: 1.0870 2022/06/30 09:28:54 - mmengine - INFO - Epoch(train) [63][2560/3757] lr: 1.000e-03 eta: 10:41:35 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.9067 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2911 loss: 1.2911 2022/06/30 09:28:59 - mmengine - INFO - Epoch(train) [63][2580/3757] lr: 1.000e-03 eta: 10:41:30 time: 0.249 data_time: 0.022 memory: 6404 grad_norm: 6.2675 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9188 loss: 0.9188 2022/06/30 09:29:05 - mmengine - INFO - Epoch(train) [63][2600/3757] lr: 1.000e-03 eta: 10:41:24 time: 0.274 data_time: 0.009 memory: 6404 grad_norm: 9.0744 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0856 loss: 1.0856 2022/06/30 09:29:11 - mmengine - INFO - Epoch(train) [63][2620/3757] lr: 1.000e-03 eta: 10:41:19 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.8390 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3390 loss: 1.3390 2022/06/30 09:29:16 - mmengine - INFO - Epoch(train) [63][2640/3757] lr: 1.000e-03 eta: 10:41:13 time: 0.258 data_time: 0.018 memory: 6404 grad_norm: 6.1188 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3642 loss: 1.3642 2022/06/30 09:29:22 - mmengine - INFO - Epoch(train) [63][2660/3757] lr: 1.000e-03 eta: 10:41:08 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 6.7529 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3255 loss: 1.3255 2022/06/30 09:29:27 - mmengine - INFO - Epoch(train) [63][2680/3757] lr: 1.000e-03 eta: 10:41:02 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 8.3231 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6599 loss: 1.6599 2022/06/30 09:29:32 - mmengine - INFO - Epoch(train) [63][2700/3757] lr: 1.000e-03 eta: 10:40:57 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 9.1259 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0262 loss: 1.0262 2022/06/30 09:29:38 - mmengine - INFO - Epoch(train) [63][2720/3757] lr: 1.000e-03 eta: 10:40:51 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 8.1115 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3015 loss: 1.3015 2022/06/30 09:29:43 - mmengine - INFO - Epoch(train) [63][2740/3757] lr: 1.000e-03 eta: 10:40:46 time: 0.266 data_time: 0.008 memory: 6404 grad_norm: 7.2652 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1664 loss: 1.1664 2022/06/30 09:29:49 - mmengine - INFO - Epoch(train) [63][2760/3757] lr: 1.000e-03 eta: 10:40:40 time: 0.248 data_time: 0.016 memory: 6404 grad_norm: 9.2166 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9903 loss: 0.9903 2022/06/30 09:29:55 - mmengine - INFO - Epoch(train) [63][2780/3757] lr: 1.000e-03 eta: 10:40:35 time: 0.315 data_time: 0.009 memory: 6404 grad_norm: 7.8399 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3627 loss: 1.3627 2022/06/30 09:30:00 - mmengine - INFO - Epoch(train) [63][2800/3757] lr: 1.000e-03 eta: 10:40:29 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 8.1083 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2452 loss: 1.2452 2022/06/30 09:30:05 - mmengine - INFO - Epoch(train) [63][2820/3757] lr: 1.000e-03 eta: 10:40:24 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 7.1634 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9509 loss: 0.9509 2022/06/30 09:30:11 - mmengine - INFO - Epoch(train) [63][2840/3757] lr: 1.000e-03 eta: 10:40:18 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 7.8848 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3579 loss: 1.3579 2022/06/30 09:30:16 - mmengine - INFO - Epoch(train) [63][2860/3757] lr: 1.000e-03 eta: 10:40:12 time: 0.276 data_time: 0.007 memory: 6404 grad_norm: 6.3588 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5519 loss: 1.5519 2022/06/30 09:30:22 - mmengine - INFO - Epoch(train) [63][2880/3757] lr: 1.000e-03 eta: 10:40:07 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 7.5716 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4771 loss: 1.4771 2022/06/30 09:30:27 - mmengine - INFO - Epoch(train) [63][2900/3757] lr: 1.000e-03 eta: 10:40:01 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 9.6590 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3621 loss: 1.3621 2022/06/30 09:30:32 - mmengine - INFO - Epoch(train) [63][2920/3757] lr: 1.000e-03 eta: 10:39:56 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 7.4382 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7150 loss: 1.7150 2022/06/30 09:30:37 - mmengine - INFO - Epoch(train) [63][2940/3757] lr: 1.000e-03 eta: 10:39:50 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 9.3033 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9517 loss: 0.9517 2022/06/30 09:30:43 - mmengine - INFO - Epoch(train) [63][2960/3757] lr: 1.000e-03 eta: 10:39:45 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 7.6774 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3934 loss: 1.3934 2022/06/30 09:30:49 - mmengine - INFO - Epoch(train) [63][2980/3757] lr: 1.000e-03 eta: 10:39:39 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 7.5386 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1976 loss: 1.1976 2022/06/30 09:30:54 - mmengine - INFO - Epoch(train) [63][3000/3757] lr: 1.000e-03 eta: 10:39:34 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 6.1392 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0134 loss: 1.0134 2022/06/30 09:31:00 - mmengine - INFO - Epoch(train) [63][3020/3757] lr: 1.000e-03 eta: 10:39:28 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 5.9346 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3217 loss: 1.3217 2022/06/30 09:31:05 - mmengine - INFO - Epoch(train) [63][3040/3757] lr: 1.000e-03 eta: 10:39:23 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 7.3891 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1603 loss: 1.1603 2022/06/30 09:31:11 - mmengine - INFO - Epoch(train) [63][3060/3757] lr: 1.000e-03 eta: 10:39:17 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 7.5408 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0877 loss: 1.0877 2022/06/30 09:31:12 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 09:31:16 - mmengine - INFO - Epoch(train) [63][3080/3757] lr: 1.000e-03 eta: 10:39:12 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 8.2318 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0776 loss: 1.0776 2022/06/30 09:31:22 - mmengine - INFO - Epoch(train) [63][3100/3757] lr: 1.000e-03 eta: 10:39:06 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 8.2827 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2070 loss: 1.2070 2022/06/30 09:31:27 - mmengine - INFO - Epoch(train) [63][3120/3757] lr: 1.000e-03 eta: 10:39:01 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 7.8761 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7364 loss: 0.7364 2022/06/30 09:31:32 - mmengine - INFO - Epoch(train) [63][3140/3757] lr: 1.000e-03 eta: 10:38:55 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 7.2888 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9786 loss: 0.9786 2022/06/30 09:31:38 - mmengine - INFO - Epoch(train) [63][3160/3757] lr: 1.000e-03 eta: 10:38:50 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 6.6658 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2067 loss: 1.2067 2022/06/30 09:31:44 - mmengine - INFO - Epoch(train) [63][3180/3757] lr: 1.000e-03 eta: 10:38:44 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 8.1918 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9857 loss: 0.9857 2022/06/30 09:31:49 - mmengine - INFO - Epoch(train) [63][3200/3757] lr: 1.000e-03 eta: 10:38:39 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.2611 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1107 loss: 1.1107 2022/06/30 09:31:54 - mmengine - INFO - Epoch(train) [63][3220/3757] lr: 1.000e-03 eta: 10:38:33 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 7.3089 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9634 loss: 0.9634 2022/06/30 09:32:00 - mmengine - INFO - Epoch(train) [63][3240/3757] lr: 1.000e-03 eta: 10:38:28 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 7.3093 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1064 loss: 1.1064 2022/06/30 09:32:05 - mmengine - INFO - Epoch(train) [63][3260/3757] lr: 1.000e-03 eta: 10:38:22 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 7.3335 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2126 loss: 1.2126 2022/06/30 09:32:10 - mmengine - INFO - Epoch(train) [63][3280/3757] lr: 1.000e-03 eta: 10:38:16 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.4723 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2670 loss: 1.2670 2022/06/30 09:32:16 - mmengine - INFO - Epoch(train) [63][3300/3757] lr: 1.000e-03 eta: 10:38:11 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 7.8473 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3909 loss: 1.3909 2022/06/30 09:32:21 - mmengine - INFO - Epoch(train) [63][3320/3757] lr: 1.000e-03 eta: 10:38:05 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 6.5473 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9623 loss: 0.9623 2022/06/30 09:32:27 - mmengine - INFO - Epoch(train) [63][3340/3757] lr: 1.000e-03 eta: 10:38:00 time: 0.268 data_time: 0.010 memory: 6404 grad_norm: 7.6658 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4021 loss: 1.4021 2022/06/30 09:32:33 - mmengine - INFO - Epoch(train) [63][3360/3757] lr: 1.000e-03 eta: 10:37:55 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 7.1742 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4727 loss: 1.4727 2022/06/30 09:32:39 - mmengine - INFO - Epoch(train) [63][3380/3757] lr: 1.000e-03 eta: 10:37:49 time: 0.243 data_time: 0.012 memory: 6404 grad_norm: 6.3729 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1429 loss: 1.1429 2022/06/30 09:32:44 - mmengine - INFO - Epoch(train) [63][3400/3757] lr: 1.000e-03 eta: 10:37:44 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.2860 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7440 loss: 1.7440 2022/06/30 09:32:49 - mmengine - INFO - Epoch(train) [63][3420/3757] lr: 1.000e-03 eta: 10:37:38 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 7.9414 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4241 loss: 1.4241 2022/06/30 09:32:55 - mmengine - INFO - Epoch(train) [63][3440/3757] lr: 1.000e-03 eta: 10:37:33 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.0137 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4917 loss: 1.4917 2022/06/30 09:33:00 - mmengine - INFO - Epoch(train) [63][3460/3757] lr: 1.000e-03 eta: 10:37:27 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 6.7287 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4494 loss: 1.4494 2022/06/30 09:33:06 - mmengine - INFO - Epoch(train) [63][3480/3757] lr: 1.000e-03 eta: 10:37:22 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 9.0368 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0832 loss: 1.0832 2022/06/30 09:33:11 - mmengine - INFO - Epoch(train) [63][3500/3757] lr: 1.000e-03 eta: 10:37:16 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 8.1438 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1205 loss: 1.1205 2022/06/30 09:33:17 - mmengine - INFO - Epoch(train) [63][3520/3757] lr: 1.000e-03 eta: 10:37:11 time: 0.358 data_time: 0.014 memory: 6404 grad_norm: 8.4597 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0623 loss: 1.0623 2022/06/30 09:33:22 - mmengine - INFO - Epoch(train) [63][3540/3757] lr: 1.000e-03 eta: 10:37:05 time: 0.257 data_time: 0.021 memory: 6404 grad_norm: 9.9301 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3620 loss: 1.3620 2022/06/30 09:33:27 - mmengine - INFO - Epoch(train) [63][3560/3757] lr: 1.000e-03 eta: 10:36:59 time: 0.249 data_time: 0.015 memory: 6404 grad_norm: 7.0267 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1283 loss: 1.1283 2022/06/30 09:33:33 - mmengine - INFO - Epoch(train) [63][3580/3757] lr: 1.000e-03 eta: 10:36:54 time: 0.256 data_time: 0.017 memory: 6404 grad_norm: 8.4329 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1286 loss: 1.1286 2022/06/30 09:33:38 - mmengine - INFO - Epoch(train) [63][3600/3757] lr: 1.000e-03 eta: 10:36:48 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 7.3895 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2012 loss: 1.2012 2022/06/30 09:33:43 - mmengine - INFO - Epoch(train) [63][3620/3757] lr: 1.000e-03 eta: 10:36:43 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 6.8733 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6597 loss: 1.6597 2022/06/30 09:33:49 - mmengine - INFO - Epoch(train) [63][3640/3757] lr: 1.000e-03 eta: 10:36:37 time: 0.248 data_time: 0.019 memory: 6404 grad_norm: 5.4745 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8324 loss: 0.8324 2022/06/30 09:33:54 - mmengine - INFO - Epoch(train) [63][3660/3757] lr: 1.000e-03 eta: 10:36:31 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 7.2290 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6786 loss: 1.6786 2022/06/30 09:33:59 - mmengine - INFO - Epoch(train) [63][3680/3757] lr: 1.000e-03 eta: 10:36:26 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 8.9334 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8717 loss: 0.8717 2022/06/30 09:34:05 - mmengine - INFO - Epoch(train) [63][3700/3757] lr: 1.000e-03 eta: 10:36:20 time: 0.259 data_time: 0.040 memory: 6404 grad_norm: 7.2299 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9653 loss: 0.9653 2022/06/30 09:34:10 - mmengine - INFO - Epoch(train) [63][3720/3757] lr: 1.000e-03 eta: 10:36:15 time: 0.262 data_time: 0.009 memory: 6404 grad_norm: 6.6805 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0667 loss: 1.0667 2022/06/30 09:34:16 - mmengine - INFO - Epoch(train) [63][3740/3757] lr: 1.000e-03 eta: 10:36:09 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 8.3906 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3638 loss: 1.3638 2022/06/30 09:34:20 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 09:34:27 - mmengine - INFO - Epoch(val) [63][20/310] eta: 0:01:34 time: 0.113 data_time: 0.008 memory: 6404 2022/06/30 09:34:33 - mmengine - INFO - Epoch(val) [63][40/310] eta: 0:01:19 time: 0.085 data_time: 0.006 memory: 1479 2022/06/30 09:34:37 - mmengine - INFO - Epoch(val) [63][60/310] eta: 0:00:22 time: 0.085 data_time: 0.008 memory: 1479 2022/06/30 09:34:43 - mmengine - INFO - Epoch(val) [63][80/310] eta: 0:01:09 time: 0.105 data_time: 0.006 memory: 1479 2022/06/30 09:34:48 - mmengine - INFO - Epoch(val) [63][100/310] eta: 0:00:58 time: 0.091 data_time: 0.009 memory: 1479 2022/06/30 09:34:52 - mmengine - INFO - Epoch(val) [63][120/310] eta: 0:00:16 time: 0.099 data_time: 0.009 memory: 1479 2022/06/30 09:34:58 - mmengine - INFO - Epoch(val) [63][140/310] eta: 0:00:50 time: 0.089 data_time: 0.007 memory: 1479 2022/06/30 09:35:04 - mmengine - INFO - Epoch(val) [63][160/310] eta: 0:00:39 time: 0.146 data_time: 0.070 memory: 1479 2022/06/30 09:35:09 - mmengine - INFO - Epoch(val) [63][180/310] eta: 0:00:17 time: 0.082 data_time: 0.005 memory: 1479 2022/06/30 09:35:15 - mmengine - INFO - Epoch(val) [63][200/310] eta: 0:00:33 time: 0.085 data_time: 0.005 memory: 1479 2022/06/30 09:35:20 - mmengine - INFO - Epoch(val) [63][220/310] eta: 0:00:21 time: 0.089 data_time: 0.008 memory: 1479 2022/06/30 09:35:24 - mmengine - INFO - Epoch(val) [63][240/310] eta: 0:00:12 time: 0.086 data_time: 0.006 memory: 1479 2022/06/30 09:35:31 - mmengine - INFO - Epoch(val) [63][260/310] eta: 0:00:16 time: 0.082 data_time: 0.005 memory: 1479 2022/06/30 09:35:36 - mmengine - INFO - Epoch(val) [63][280/310] eta: 0:00:09 time: 0.095 data_time: 0.006 memory: 1479 2022/06/30 09:35:40 - mmengine - INFO - Epoch(val) [63][300/310] eta: 0:00:01 time: 0.079 data_time: 0.005 memory: 1479 2022/06/30 09:35:43 - mmengine - INFO - Epoch(val) [63][310/310] acc/top1: 0.6666 acc/top5: 0.8679 acc/mean1: 0.6665 2022/06/30 09:35:53 - mmengine - INFO - Epoch(train) [64][20/3757] lr: 1.000e-03 eta: 10:36:00 time: 0.248 data_time: 0.013 memory: 6404 grad_norm: 7.1955 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3485 loss: 1.3485 2022/06/30 09:35:58 - mmengine - INFO - Epoch(train) [64][40/3757] lr: 1.000e-03 eta: 10:35:54 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 7.7366 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9188 loss: 0.9188 2022/06/30 09:36:03 - mmengine - INFO - Epoch(train) [64][60/3757] lr: 1.000e-03 eta: 10:35:49 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 7.4086 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1128 loss: 1.1128 2022/06/30 09:36:09 - mmengine - INFO - Epoch(train) [64][80/3757] lr: 1.000e-03 eta: 10:35:43 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 9.6760 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2014 loss: 1.2014 2022/06/30 09:36:15 - mmengine - INFO - Epoch(train) [64][100/3757] lr: 1.000e-03 eta: 10:35:38 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 8.0872 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1282 loss: 1.1282 2022/06/30 09:36:20 - mmengine - INFO - Epoch(train) [64][120/3757] lr: 1.000e-03 eta: 10:35:33 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 7.3286 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.0997 loss: 1.0997 2022/06/30 09:36:26 - mmengine - INFO - Epoch(train) [64][140/3757] lr: 1.000e-03 eta: 10:35:27 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 6.8032 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9816 loss: 0.9816 2022/06/30 09:36:31 - mmengine - INFO - Epoch(train) [64][160/3757] lr: 1.000e-03 eta: 10:35:21 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 6.6897 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3115 loss: 1.3115 2022/06/30 09:36:36 - mmengine - INFO - Epoch(train) [64][180/3757] lr: 1.000e-03 eta: 10:35:16 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 8.1138 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2169 loss: 1.2169 2022/06/30 09:36:42 - mmengine - INFO - Epoch(train) [64][200/3757] lr: 1.000e-03 eta: 10:35:10 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 7.4683 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9901 loss: 0.9901 2022/06/30 09:36:48 - mmengine - INFO - Epoch(train) [64][220/3757] lr: 1.000e-03 eta: 10:35:05 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 8.0737 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2168 loss: 1.2168 2022/06/30 09:36:53 - mmengine - INFO - Epoch(train) [64][240/3757] lr: 1.000e-03 eta: 10:34:59 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 8.3472 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5142 loss: 1.5142 2022/06/30 09:36:59 - mmengine - INFO - Epoch(train) [64][260/3757] lr: 1.000e-03 eta: 10:34:54 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 8.1892 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3580 loss: 1.3580 2022/06/30 09:37:04 - mmengine - INFO - Epoch(train) [64][280/3757] lr: 1.000e-03 eta: 10:34:48 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 8.2580 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2839 loss: 1.2839 2022/06/30 09:37:10 - mmengine - INFO - Epoch(train) [64][300/3757] lr: 1.000e-03 eta: 10:34:43 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 8.3588 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2765 loss: 1.2765 2022/06/30 09:37:12 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 09:37:15 - mmengine - INFO - Epoch(train) [64][320/3757] lr: 1.000e-03 eta: 10:34:38 time: 0.273 data_time: 0.013 memory: 6404 grad_norm: 7.7443 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1580 loss: 1.1580 2022/06/30 09:37:20 - mmengine - INFO - Epoch(train) [64][340/3757] lr: 1.000e-03 eta: 10:34:32 time: 0.270 data_time: 0.014 memory: 6404 grad_norm: 8.7828 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8001 loss: 0.8001 2022/06/30 09:37:26 - mmengine - INFO - Epoch(train) [64][360/3757] lr: 1.000e-03 eta: 10:34:27 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.4981 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1057 loss: 1.1057 2022/06/30 09:37:32 - mmengine - INFO - Epoch(train) [64][380/3757] lr: 1.000e-03 eta: 10:34:21 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 8.4437 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9061 loss: 0.9061 2022/06/30 09:37:37 - mmengine - INFO - Epoch(train) [64][400/3757] lr: 1.000e-03 eta: 10:34:15 time: 0.256 data_time: 0.016 memory: 6404 grad_norm: 5.7626 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2753 loss: 1.2753 2022/06/30 09:37:42 - mmengine - INFO - Epoch(train) [64][420/3757] lr: 1.000e-03 eta: 10:34:10 time: 0.260 data_time: 0.014 memory: 6404 grad_norm: 8.8103 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0331 loss: 1.0331 2022/06/30 09:37:47 - mmengine - INFO - Epoch(train) [64][440/3757] lr: 1.000e-03 eta: 10:34:04 time: 0.270 data_time: 0.008 memory: 6404 grad_norm: 7.7023 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2978 loss: 1.2978 2022/06/30 09:37:53 - mmengine - INFO - Epoch(train) [64][460/3757] lr: 1.000e-03 eta: 10:33:59 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.2075 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9509 loss: 0.9509 2022/06/30 09:37:59 - mmengine - INFO - Epoch(train) [64][480/3757] lr: 1.000e-03 eta: 10:33:53 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 6.4635 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2827 loss: 1.2827 2022/06/30 09:38:04 - mmengine - INFO - Epoch(train) [64][500/3757] lr: 1.000e-03 eta: 10:33:48 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 7.3615 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2947 loss: 1.2947 2022/06/30 09:38:09 - mmengine - INFO - Epoch(train) [64][520/3757] lr: 1.000e-03 eta: 10:33:42 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.3852 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5258 loss: 1.5258 2022/06/30 09:38:15 - mmengine - INFO - Epoch(train) [64][540/3757] lr: 1.000e-03 eta: 10:33:37 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 5.9234 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2144 loss: 1.2144 2022/06/30 09:38:21 - mmengine - INFO - Epoch(train) [64][560/3757] lr: 1.000e-03 eta: 10:33:31 time: 0.286 data_time: 0.011 memory: 6404 grad_norm: 6.6969 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2481 loss: 1.2481 2022/06/30 09:38:26 - mmengine - INFO - Epoch(train) [64][580/3757] lr: 1.000e-03 eta: 10:33:26 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 6.7750 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2606 loss: 1.2606 2022/06/30 09:38:31 - mmengine - INFO - Epoch(train) [64][600/3757] lr: 1.000e-03 eta: 10:33:20 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 6.1256 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2719 loss: 1.2719 2022/06/30 09:38:36 - mmengine - INFO - Epoch(train) [64][620/3757] lr: 1.000e-03 eta: 10:33:14 time: 0.250 data_time: 0.014 memory: 6404 grad_norm: 9.3272 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1085 loss: 1.1085 2022/06/30 09:38:42 - mmengine - INFO - Epoch(train) [64][640/3757] lr: 1.000e-03 eta: 10:33:09 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 6.5220 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1242 loss: 1.1242 2022/06/30 09:38:48 - mmengine - INFO - Epoch(train) [64][660/3757] lr: 1.000e-03 eta: 10:33:03 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 5.9317 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8068 loss: 0.8068 2022/06/30 09:38:54 - mmengine - INFO - Epoch(train) [64][680/3757] lr: 1.000e-03 eta: 10:32:59 time: 1.470 data_time: 0.012 memory: 6404 grad_norm: 7.9585 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2527 loss: 1.2527 2022/06/30 09:39:00 - mmengine - INFO - Epoch(train) [64][700/3757] lr: 1.000e-03 eta: 10:32:53 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 6.8944 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1443 loss: 1.1443 2022/06/30 09:39:05 - mmengine - INFO - Epoch(train) [64][720/3757] lr: 1.000e-03 eta: 10:32:47 time: 0.272 data_time: 0.007 memory: 6404 grad_norm: 7.7462 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0633 loss: 1.0633 2022/06/30 09:39:10 - mmengine - INFO - Epoch(train) [64][740/3757] lr: 1.000e-03 eta: 10:32:42 time: 0.258 data_time: 0.015 memory: 6404 grad_norm: 9.0266 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6824 loss: 1.6824 2022/06/30 09:39:15 - mmengine - INFO - Epoch(train) [64][760/3757] lr: 1.000e-03 eta: 10:32:36 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 7.1702 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9951 loss: 0.9951 2022/06/30 09:39:21 - mmengine - INFO - Epoch(train) [64][780/3757] lr: 1.000e-03 eta: 10:32:30 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 7.0587 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2351 loss: 1.2351 2022/06/30 09:39:26 - mmengine - INFO - Epoch(train) [64][800/3757] lr: 1.000e-03 eta: 10:32:25 time: 0.258 data_time: 0.021 memory: 6404 grad_norm: 6.8435 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3952 loss: 1.3952 2022/06/30 09:39:31 - mmengine - INFO - Epoch(train) [64][820/3757] lr: 1.000e-03 eta: 10:32:19 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 7.5977 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3258 loss: 1.3258 2022/06/30 09:39:36 - mmengine - INFO - Epoch(train) [64][840/3757] lr: 1.000e-03 eta: 10:32:14 time: 0.490 data_time: 0.008 memory: 6404 grad_norm: 8.0310 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9450 loss: 0.9450 2022/06/30 09:39:42 - mmengine - INFO - Epoch(train) [64][860/3757] lr: 1.000e-03 eta: 10:32:08 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 7.8062 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4080 loss: 1.4080 2022/06/30 09:39:48 - mmengine - INFO - Epoch(train) [64][880/3757] lr: 1.000e-03 eta: 10:32:03 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 8.8542 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0983 loss: 1.0983 2022/06/30 09:39:53 - mmengine - INFO - Epoch(train) [64][900/3757] lr: 1.000e-03 eta: 10:31:57 time: 0.270 data_time: 0.007 memory: 6404 grad_norm: 7.9618 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9624 loss: 0.9624 2022/06/30 09:39:58 - mmengine - INFO - Epoch(train) [64][920/3757] lr: 1.000e-03 eta: 10:31:52 time: 0.262 data_time: 0.009 memory: 6404 grad_norm: 6.9283 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5450 loss: 1.5450 2022/06/30 09:40:04 - mmengine - INFO - Epoch(train) [64][940/3757] lr: 1.000e-03 eta: 10:31:46 time: 0.262 data_time: 0.022 memory: 6404 grad_norm: 8.0019 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3349 loss: 1.3349 2022/06/30 09:40:10 - mmengine - INFO - Epoch(train) [64][960/3757] lr: 1.000e-03 eta: 10:31:41 time: 0.250 data_time: 0.023 memory: 6404 grad_norm: 7.9895 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1082 loss: 1.1082 2022/06/30 09:40:15 - mmengine - INFO - Epoch(train) [64][980/3757] lr: 1.000e-03 eta: 10:31:35 time: 0.273 data_time: 0.006 memory: 6404 grad_norm: 6.9207 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0537 loss: 1.0537 2022/06/30 09:40:21 - mmengine - INFO - Epoch(train) [64][1000/3757] lr: 1.000e-03 eta: 10:31:30 time: 0.269 data_time: 0.008 memory: 6404 grad_norm: 5.9899 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8215 loss: 0.8215 2022/06/30 09:40:26 - mmengine - INFO - Epoch(train) [64][1020/3757] lr: 1.000e-03 eta: 10:31:24 time: 0.261 data_time: 0.024 memory: 6404 grad_norm: 7.0507 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3345 loss: 1.3345 2022/06/30 09:40:32 - mmengine - INFO - Epoch(train) [64][1040/3757] lr: 1.000e-03 eta: 10:31:19 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 8.7695 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3538 loss: 1.3538 2022/06/30 09:40:38 - mmengine - INFO - Epoch(train) [64][1060/3757] lr: 1.000e-03 eta: 10:31:14 time: 0.286 data_time: 0.008 memory: 6404 grad_norm: 8.7083 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1830 loss: 1.1830 2022/06/30 09:40:43 - mmengine - INFO - Epoch(train) [64][1080/3757] lr: 1.000e-03 eta: 10:31:08 time: 0.251 data_time: 0.019 memory: 6404 grad_norm: 6.7346 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0440 loss: 1.0440 2022/06/30 09:40:48 - mmengine - INFO - Epoch(train) [64][1100/3757] lr: 1.000e-03 eta: 10:31:03 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 7.0233 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1329 loss: 1.1329 2022/06/30 09:40:54 - mmengine - INFO - Epoch(train) [64][1120/3757] lr: 1.000e-03 eta: 10:30:57 time: 0.273 data_time: 0.007 memory: 6404 grad_norm: 8.3976 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2127 loss: 1.2127 2022/06/30 09:40:59 - mmengine - INFO - Epoch(train) [64][1140/3757] lr: 1.000e-03 eta: 10:30:51 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 8.8186 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1374 loss: 1.1374 2022/06/30 09:41:04 - mmengine - INFO - Epoch(train) [64][1160/3757] lr: 1.000e-03 eta: 10:30:46 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 6.1392 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2753 loss: 1.2753 2022/06/30 09:41:10 - mmengine - INFO - Epoch(train) [64][1180/3757] lr: 1.000e-03 eta: 10:30:40 time: 0.485 data_time: 0.010 memory: 6404 grad_norm: 7.2785 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4785 loss: 1.4785 2022/06/30 09:41:15 - mmengine - INFO - Epoch(train) [64][1200/3757] lr: 1.000e-03 eta: 10:30:35 time: 0.261 data_time: 0.016 memory: 6404 grad_norm: 9.1504 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2454 loss: 1.2454 2022/06/30 09:41:21 - mmengine - INFO - Epoch(train) [64][1220/3757] lr: 1.000e-03 eta: 10:30:29 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 6.5435 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8832 loss: 0.8832 2022/06/30 09:41:27 - mmengine - INFO - Epoch(train) [64][1240/3757] lr: 1.000e-03 eta: 10:30:24 time: 0.379 data_time: 0.008 memory: 6404 grad_norm: 7.4371 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2127 loss: 1.2127 2022/06/30 09:41:32 - mmengine - INFO - Epoch(train) [64][1260/3757] lr: 1.000e-03 eta: 10:30:18 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.0764 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4155 loss: 1.4155 2022/06/30 09:41:37 - mmengine - INFO - Epoch(train) [64][1280/3757] lr: 1.000e-03 eta: 10:30:13 time: 0.297 data_time: 0.008 memory: 6404 grad_norm: 7.8572 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2125 loss: 1.2125 2022/06/30 09:41:43 - mmengine - INFO - Epoch(train) [64][1300/3757] lr: 1.000e-03 eta: 10:30:07 time: 0.274 data_time: 0.007 memory: 6404 grad_norm: 6.4871 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3214 loss: 1.3214 2022/06/30 09:41:46 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 09:41:49 - mmengine - INFO - Epoch(train) [64][1320/3757] lr: 1.000e-03 eta: 10:30:02 time: 0.269 data_time: 0.006 memory: 6404 grad_norm: 8.7421 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9636 loss: 0.9636 2022/06/30 09:41:54 - mmengine - INFO - Epoch(train) [64][1340/3757] lr: 1.000e-03 eta: 10:29:56 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.2706 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2241 loss: 1.2241 2022/06/30 09:41:59 - mmengine - INFO - Epoch(train) [64][1360/3757] lr: 1.000e-03 eta: 10:29:51 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 8.0258 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4081 loss: 1.4081 2022/06/30 09:42:05 - mmengine - INFO - Epoch(train) [64][1380/3757] lr: 1.000e-03 eta: 10:29:45 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 7.5262 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3022 loss: 1.3022 2022/06/30 09:42:10 - mmengine - INFO - Epoch(train) [64][1400/3757] lr: 1.000e-03 eta: 10:29:40 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.0133 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5059 loss: 1.5059 2022/06/30 09:42:16 - mmengine - INFO - Epoch(train) [64][1420/3757] lr: 1.000e-03 eta: 10:29:34 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 8.6018 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0881 loss: 1.0881 2022/06/30 09:42:21 - mmengine - INFO - Epoch(train) [64][1440/3757] lr: 1.000e-03 eta: 10:29:28 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 8.3401 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1725 loss: 1.1725 2022/06/30 09:42:26 - mmengine - INFO - Epoch(train) [64][1460/3757] lr: 1.000e-03 eta: 10:29:23 time: 0.261 data_time: 0.012 memory: 6404 grad_norm: 7.3292 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2349 loss: 1.2349 2022/06/30 09:42:32 - mmengine - INFO - Epoch(train) [64][1480/3757] lr: 1.000e-03 eta: 10:29:17 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 7.6498 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4461 loss: 1.4461 2022/06/30 09:42:37 - mmengine - INFO - Epoch(train) [64][1500/3757] lr: 1.000e-03 eta: 10:29:12 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 7.4731 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1307 loss: 1.1307 2022/06/30 09:42:42 - mmengine - INFO - Epoch(train) [64][1520/3757] lr: 1.000e-03 eta: 10:29:06 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 8.6068 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0826 loss: 1.0826 2022/06/30 09:42:48 - mmengine - INFO - Epoch(train) [64][1540/3757] lr: 1.000e-03 eta: 10:29:01 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 6.8266 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2084 loss: 1.2084 2022/06/30 09:42:53 - mmengine - INFO - Epoch(train) [64][1560/3757] lr: 1.000e-03 eta: 10:28:55 time: 0.248 data_time: 0.015 memory: 6404 grad_norm: 8.2763 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1617 loss: 1.1617 2022/06/30 09:42:59 - mmengine - INFO - Epoch(train) [64][1580/3757] lr: 1.000e-03 eta: 10:28:50 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 7.9328 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5726 loss: 1.5726 2022/06/30 09:43:04 - mmengine - INFO - Epoch(train) [64][1600/3757] lr: 1.000e-03 eta: 10:28:44 time: 0.251 data_time: 0.019 memory: 6404 grad_norm: 6.2462 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0581 loss: 1.0581 2022/06/30 09:43:10 - mmengine - INFO - Epoch(train) [64][1620/3757] lr: 1.000e-03 eta: 10:28:39 time: 0.258 data_time: 0.015 memory: 6404 grad_norm: 9.0542 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4479 loss: 1.4479 2022/06/30 09:43:15 - mmengine - INFO - Epoch(train) [64][1640/3757] lr: 1.000e-03 eta: 10:28:33 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 7.5065 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3070 loss: 1.3070 2022/06/30 09:43:21 - mmengine - INFO - Epoch(train) [64][1660/3757] lr: 1.000e-03 eta: 10:28:28 time: 0.266 data_time: 0.021 memory: 6404 grad_norm: 6.5758 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0342 loss: 1.0342 2022/06/30 09:43:26 - mmengine - INFO - Epoch(train) [64][1680/3757] lr: 1.000e-03 eta: 10:28:22 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 7.4761 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0589 loss: 1.0589 2022/06/30 09:43:32 - mmengine - INFO - Epoch(train) [64][1700/3757] lr: 1.000e-03 eta: 10:28:17 time: 0.801 data_time: 0.007 memory: 6404 grad_norm: 7.0354 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2613 loss: 1.2613 2022/06/30 09:43:37 - mmengine - INFO - Epoch(train) [64][1720/3757] lr: 1.000e-03 eta: 10:28:11 time: 0.265 data_time: 0.010 memory: 6404 grad_norm: 7.3404 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4962 loss: 1.4962 2022/06/30 09:43:43 - mmengine - INFO - Epoch(train) [64][1740/3757] lr: 1.000e-03 eta: 10:28:06 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 8.0544 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2762 loss: 1.2762 2022/06/30 09:43:49 - mmengine - INFO - Epoch(train) [64][1760/3757] lr: 1.000e-03 eta: 10:28:00 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 7.1025 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1794 loss: 1.1794 2022/06/30 09:43:54 - mmengine - INFO - Epoch(train) [64][1780/3757] lr: 1.000e-03 eta: 10:27:55 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 7.7295 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8805 loss: 0.8805 2022/06/30 09:43:59 - mmengine - INFO - Epoch(train) [64][1800/3757] lr: 1.000e-03 eta: 10:27:49 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 9.7133 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4500 loss: 1.4500 2022/06/30 09:44:05 - mmengine - INFO - Epoch(train) [64][1820/3757] lr: 1.000e-03 eta: 10:27:44 time: 0.277 data_time: 0.008 memory: 6404 grad_norm: 9.6423 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2026 loss: 1.2026 2022/06/30 09:44:10 - mmengine - INFO - Epoch(train) [64][1840/3757] lr: 1.000e-03 eta: 10:27:38 time: 0.255 data_time: 0.015 memory: 6404 grad_norm: 8.0067 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1688 loss: 1.1688 2022/06/30 09:44:16 - mmengine - INFO - Epoch(train) [64][1860/3757] lr: 1.000e-03 eta: 10:27:33 time: 0.270 data_time: 0.007 memory: 6404 grad_norm: 7.6243 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2851 loss: 1.2851 2022/06/30 09:44:21 - mmengine - INFO - Epoch(train) [64][1880/3757] lr: 1.000e-03 eta: 10:27:27 time: 0.274 data_time: 0.008 memory: 6404 grad_norm: 8.1050 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0113 loss: 1.0113 2022/06/30 09:44:26 - mmengine - INFO - Epoch(train) [64][1900/3757] lr: 1.000e-03 eta: 10:27:22 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 9.0665 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2003 loss: 1.2003 2022/06/30 09:44:32 - mmengine - INFO - Epoch(train) [64][1920/3757] lr: 1.000e-03 eta: 10:27:16 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 7.6296 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1903 loss: 1.1903 2022/06/30 09:44:38 - mmengine - INFO - Epoch(train) [64][1940/3757] lr: 1.000e-03 eta: 10:27:11 time: 0.279 data_time: 0.008 memory: 6404 grad_norm: 8.9671 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0501 loss: 1.0501 2022/06/30 09:44:43 - mmengine - INFO - Epoch(train) [64][1960/3757] lr: 1.000e-03 eta: 10:27:05 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.0873 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1469 loss: 1.1469 2022/06/30 09:44:49 - mmengine - INFO - Epoch(train) [64][1980/3757] lr: 1.000e-03 eta: 10:27:00 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.2177 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0373 loss: 1.0373 2022/06/30 09:44:54 - mmengine - INFO - Epoch(train) [64][2000/3757] lr: 1.000e-03 eta: 10:26:54 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 8.2517 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4116 loss: 1.4116 2022/06/30 09:44:59 - mmengine - INFO - Epoch(train) [64][2020/3757] lr: 1.000e-03 eta: 10:26:48 time: 0.256 data_time: 0.017 memory: 6404 grad_norm: 6.7138 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0296 loss: 1.0296 2022/06/30 09:45:05 - mmengine - INFO - Epoch(train) [64][2040/3757] lr: 1.000e-03 eta: 10:26:43 time: 0.270 data_time: 0.010 memory: 6404 grad_norm: 8.3339 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4703 loss: 1.4703 2022/06/30 09:45:10 - mmengine - INFO - Epoch(train) [64][2060/3757] lr: 1.000e-03 eta: 10:26:37 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 8.3526 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1121 loss: 1.1121 2022/06/30 09:45:16 - mmengine - INFO - Epoch(train) [64][2080/3757] lr: 1.000e-03 eta: 10:26:32 time: 0.245 data_time: 0.015 memory: 6404 grad_norm: 7.2740 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0710 loss: 1.0710 2022/06/30 09:45:21 - mmengine - INFO - Epoch(train) [64][2100/3757] lr: 1.000e-03 eta: 10:26:26 time: 0.263 data_time: 0.010 memory: 6404 grad_norm: 8.7545 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1985 loss: 1.1985 2022/06/30 09:45:27 - mmengine - INFO - Epoch(train) [64][2120/3757] lr: 1.000e-03 eta: 10:26:21 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.0727 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9092 loss: 0.9092 2022/06/30 09:45:32 - mmengine - INFO - Epoch(train) [64][2140/3757] lr: 1.000e-03 eta: 10:26:15 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.8063 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0408 loss: 1.0408 2022/06/30 09:45:37 - mmengine - INFO - Epoch(train) [64][2160/3757] lr: 1.000e-03 eta: 10:26:10 time: 0.264 data_time: 0.015 memory: 6404 grad_norm: 9.2576 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0714 loss: 1.0714 2022/06/30 09:45:43 - mmengine - INFO - Epoch(train) [64][2180/3757] lr: 1.000e-03 eta: 10:26:04 time: 0.271 data_time: 0.008 memory: 6404 grad_norm: 8.0898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1669 loss: 1.1669 2022/06/30 09:45:48 - mmengine - INFO - Epoch(train) [64][2200/3757] lr: 1.000e-03 eta: 10:25:58 time: 0.270 data_time: 0.007 memory: 6404 grad_norm: 6.8639 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2578 loss: 1.2578 2022/06/30 09:45:54 - mmengine - INFO - Epoch(train) [64][2220/3757] lr: 1.000e-03 eta: 10:25:53 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 7.7720 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2523 loss: 1.2523 2022/06/30 09:45:59 - mmengine - INFO - Epoch(train) [64][2240/3757] lr: 1.000e-03 eta: 10:25:48 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.9547 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5057 loss: 1.5057 2022/06/30 09:46:05 - mmengine - INFO - Epoch(train) [64][2260/3757] lr: 1.000e-03 eta: 10:25:42 time: 0.261 data_time: 0.009 memory: 6404 grad_norm: 8.6318 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7300 loss: 1.7300 2022/06/30 09:46:10 - mmengine - INFO - Epoch(train) [64][2280/3757] lr: 1.000e-03 eta: 10:25:36 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 6.8371 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3311 loss: 1.3311 2022/06/30 09:46:16 - mmengine - INFO - Epoch(train) [64][2300/3757] lr: 1.000e-03 eta: 10:25:31 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 6.7830 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4096 loss: 1.4096 2022/06/30 09:46:18 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 09:46:21 - mmengine - INFO - Epoch(train) [64][2320/3757] lr: 1.000e-03 eta: 10:25:26 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 7.8275 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6281 loss: 1.6281 2022/06/30 09:46:26 - mmengine - INFO - Epoch(train) [64][2340/3757] lr: 1.000e-03 eta: 10:25:20 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.4889 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4017 loss: 1.4017 2022/06/30 09:46:32 - mmengine - INFO - Epoch(train) [64][2360/3757] lr: 1.000e-03 eta: 10:25:15 time: 0.289 data_time: 0.012 memory: 6404 grad_norm: 8.1419 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1528 loss: 1.1528 2022/06/30 09:46:37 - mmengine - INFO - Epoch(train) [64][2380/3757] lr: 1.000e-03 eta: 10:25:09 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 7.1828 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0870 loss: 1.0870 2022/06/30 09:46:43 - mmengine - INFO - Epoch(train) [64][2400/3757] lr: 1.000e-03 eta: 10:25:03 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 7.3615 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1522 loss: 1.1522 2022/06/30 09:46:48 - mmengine - INFO - Epoch(train) [64][2420/3757] lr: 1.000e-03 eta: 10:24:58 time: 0.624 data_time: 0.009 memory: 6404 grad_norm: 8.6075 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4686 loss: 1.4686 2022/06/30 09:46:54 - mmengine - INFO - Epoch(train) [64][2440/3757] lr: 1.000e-03 eta: 10:24:53 time: 0.249 data_time: 0.014 memory: 6404 grad_norm: 7.2622 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0083 loss: 1.0083 2022/06/30 09:46:59 - mmengine - INFO - Epoch(train) [64][2460/3757] lr: 1.000e-03 eta: 10:24:47 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 7.5806 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0447 loss: 1.0447 2022/06/30 09:47:05 - mmengine - INFO - Epoch(train) [64][2480/3757] lr: 1.000e-03 eta: 10:24:41 time: 0.292 data_time: 0.011 memory: 6404 grad_norm: 7.9552 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1572 loss: 1.1572 2022/06/30 09:47:10 - mmengine - INFO - Epoch(train) [64][2500/3757] lr: 1.000e-03 eta: 10:24:36 time: 0.260 data_time: 0.014 memory: 6404 grad_norm: 7.3782 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.5096 loss: 1.5096 2022/06/30 09:47:15 - mmengine - INFO - Epoch(train) [64][2520/3757] lr: 1.000e-03 eta: 10:24:30 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.2385 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0722 loss: 1.0722 2022/06/30 09:47:21 - mmengine - INFO - Epoch(train) [64][2540/3757] lr: 1.000e-03 eta: 10:24:25 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.8243 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1001 loss: 1.1001 2022/06/30 09:47:26 - mmengine - INFO - Epoch(train) [64][2560/3757] lr: 1.000e-03 eta: 10:24:19 time: 0.256 data_time: 0.017 memory: 6404 grad_norm: 7.5021 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9917 loss: 0.9917 2022/06/30 09:47:32 - mmengine - INFO - Epoch(train) [64][2580/3757] lr: 1.000e-03 eta: 10:24:14 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.9807 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0293 loss: 1.0293 2022/06/30 09:47:37 - mmengine - INFO - Epoch(train) [64][2600/3757] lr: 1.000e-03 eta: 10:24:08 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 8.7932 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2935 loss: 1.2935 2022/06/30 09:47:43 - mmengine - INFO - Epoch(train) [64][2620/3757] lr: 1.000e-03 eta: 10:24:03 time: 0.254 data_time: 0.021 memory: 6404 grad_norm: 7.2667 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3517 loss: 1.3517 2022/06/30 09:47:48 - mmengine - INFO - Epoch(train) [64][2640/3757] lr: 1.000e-03 eta: 10:23:57 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 5.9581 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0714 loss: 1.0714 2022/06/30 09:47:54 - mmengine - INFO - Epoch(train) [64][2660/3757] lr: 1.000e-03 eta: 10:23:52 time: 0.290 data_time: 0.011 memory: 6404 grad_norm: 7.5469 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3889 loss: 1.3889 2022/06/30 09:48:00 - mmengine - INFO - Epoch(train) [64][2680/3757] lr: 1.000e-03 eta: 10:23:46 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 8.2965 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1078 loss: 1.1078 2022/06/30 09:48:05 - mmengine - INFO - Epoch(train) [64][2700/3757] lr: 1.000e-03 eta: 10:23:41 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 7.0199 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1046 loss: 1.1046 2022/06/30 09:48:11 - mmengine - INFO - Epoch(train) [64][2720/3757] lr: 1.000e-03 eta: 10:23:36 time: 0.260 data_time: 0.070 memory: 6404 grad_norm: 8.5860 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3603 loss: 1.3603 2022/06/30 09:48:16 - mmengine - INFO - Epoch(train) [64][2740/3757] lr: 1.000e-03 eta: 10:23:30 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 7.4290 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3918 loss: 1.3918 2022/06/30 09:48:22 - mmengine - INFO - Epoch(train) [64][2760/3757] lr: 1.000e-03 eta: 10:23:25 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 10.2238 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6070 loss: 1.6070 2022/06/30 09:48:27 - mmengine - INFO - Epoch(train) [64][2780/3757] lr: 1.000e-03 eta: 10:23:19 time: 0.272 data_time: 0.017 memory: 6404 grad_norm: 6.6740 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5403 loss: 1.5403 2022/06/30 09:48:32 - mmengine - INFO - Epoch(train) [64][2800/3757] lr: 1.000e-03 eta: 10:23:13 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 7.8520 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7065 loss: 1.7065 2022/06/30 09:48:37 - mmengine - INFO - Epoch(train) [64][2820/3757] lr: 1.000e-03 eta: 10:23:08 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 7.3148 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0171 loss: 1.0171 2022/06/30 09:48:43 - mmengine - INFO - Epoch(train) [64][2840/3757] lr: 1.000e-03 eta: 10:23:02 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 7.4385 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8588 loss: 0.8588 2022/06/30 09:48:48 - mmengine - INFO - Epoch(train) [64][2860/3757] lr: 1.000e-03 eta: 10:22:56 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.6683 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1643 loss: 1.1643 2022/06/30 09:48:53 - mmengine - INFO - Epoch(train) [64][2880/3757] lr: 1.000e-03 eta: 10:22:51 time: 0.259 data_time: 0.039 memory: 6404 grad_norm: 6.7145 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2895 loss: 1.2895 2022/06/30 09:48:59 - mmengine - INFO - Epoch(train) [64][2900/3757] lr: 1.000e-03 eta: 10:22:45 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 6.3309 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9334 loss: 0.9334 2022/06/30 09:49:04 - mmengine - INFO - Epoch(train) [64][2920/3757] lr: 1.000e-03 eta: 10:22:40 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 7.0267 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2168 loss: 1.2168 2022/06/30 09:49:10 - mmengine - INFO - Epoch(train) [64][2940/3757] lr: 1.000e-03 eta: 10:22:34 time: 0.259 data_time: 0.019 memory: 6404 grad_norm: 8.9568 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0739 loss: 1.0739 2022/06/30 09:49:15 - mmengine - INFO - Epoch(train) [64][2960/3757] lr: 1.000e-03 eta: 10:22:29 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 7.7959 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2241 loss: 1.2241 2022/06/30 09:49:21 - mmengine - INFO - Epoch(train) [64][2980/3757] lr: 1.000e-03 eta: 10:22:23 time: 0.241 data_time: 0.010 memory: 6404 grad_norm: 8.2247 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.8861 loss: 0.8861 2022/06/30 09:49:27 - mmengine - INFO - Epoch(train) [64][3000/3757] lr: 1.000e-03 eta: 10:22:18 time: 0.267 data_time: 0.010 memory: 6404 grad_norm: 6.4680 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2463 loss: 1.2463 2022/06/30 09:49:32 - mmengine - INFO - Epoch(train) [64][3020/3757] lr: 1.000e-03 eta: 10:22:12 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.5802 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2641 loss: 1.2641 2022/06/30 09:49:37 - mmengine - INFO - Epoch(train) [64][3040/3757] lr: 1.000e-03 eta: 10:22:07 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.1137 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3190 loss: 1.3190 2022/06/30 09:49:43 - mmengine - INFO - Epoch(train) [64][3060/3757] lr: 1.000e-03 eta: 10:22:01 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 7.7325 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9742 loss: 0.9742 2022/06/30 09:49:49 - mmengine - INFO - Epoch(train) [64][3080/3757] lr: 1.000e-03 eta: 10:21:56 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 7.8379 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1597 loss: 1.1597 2022/06/30 09:49:54 - mmengine - INFO - Epoch(train) [64][3100/3757] lr: 1.000e-03 eta: 10:21:51 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 7.2758 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0534 loss: 1.0534 2022/06/30 09:50:00 - mmengine - INFO - Epoch(train) [64][3120/3757] lr: 1.000e-03 eta: 10:21:45 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 7.6086 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1038 loss: 1.1038 2022/06/30 09:50:05 - mmengine - INFO - Epoch(train) [64][3140/3757] lr: 1.000e-03 eta: 10:21:40 time: 0.264 data_time: 0.010 memory: 6404 grad_norm: 8.4842 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3856 loss: 1.3856 2022/06/30 09:50:11 - mmengine - INFO - Epoch(train) [64][3160/3757] lr: 1.000e-03 eta: 10:21:34 time: 0.265 data_time: 0.020 memory: 6404 grad_norm: 7.3663 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2501 loss: 1.2501 2022/06/30 09:50:16 - mmengine - INFO - Epoch(train) [64][3180/3757] lr: 1.000e-03 eta: 10:21:29 time: 0.422 data_time: 0.006 memory: 6404 grad_norm: 6.3135 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1281 loss: 1.1281 2022/06/30 09:50:22 - mmengine - INFO - Epoch(train) [64][3200/3757] lr: 1.000e-03 eta: 10:21:23 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 7.6035 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2495 loss: 1.2495 2022/06/30 09:50:27 - mmengine - INFO - Epoch(train) [64][3220/3757] lr: 1.000e-03 eta: 10:21:17 time: 0.270 data_time: 0.015 memory: 6404 grad_norm: 7.1382 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2490 loss: 1.2490 2022/06/30 09:50:32 - mmengine - INFO - Epoch(train) [64][3240/3757] lr: 1.000e-03 eta: 10:21:12 time: 0.264 data_time: 0.015 memory: 6404 grad_norm: 7.7253 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9522 loss: 0.9522 2022/06/30 09:50:37 - mmengine - INFO - Epoch(train) [64][3260/3757] lr: 1.000e-03 eta: 10:21:06 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.2602 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0040 loss: 1.0040 2022/06/30 09:50:43 - mmengine - INFO - Epoch(train) [64][3280/3757] lr: 1.000e-03 eta: 10:21:01 time: 0.249 data_time: 0.016 memory: 6404 grad_norm: 8.0942 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1642 loss: 1.1642 2022/06/30 09:50:48 - mmengine - INFO - Epoch(train) [64][3300/3757] lr: 1.000e-03 eta: 10:20:55 time: 0.270 data_time: 0.015 memory: 6404 grad_norm: 7.7943 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9690 loss: 0.9690 2022/06/30 09:50:50 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 09:50:53 - mmengine - INFO - Epoch(train) [64][3320/3757] lr: 1.000e-03 eta: 10:20:49 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 6.9053 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3854 loss: 1.3854 2022/06/30 09:50:59 - mmengine - INFO - Epoch(train) [64][3340/3757] lr: 1.000e-03 eta: 10:20:44 time: 0.254 data_time: 0.017 memory: 6404 grad_norm: 6.8493 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2415 loss: 1.2415 2022/06/30 09:51:05 - mmengine - INFO - Epoch(train) [64][3360/3757] lr: 1.000e-03 eta: 10:20:39 time: 0.262 data_time: 0.019 memory: 6404 grad_norm: 7.1284 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3278 loss: 1.3278 2022/06/30 09:51:10 - mmengine - INFO - Epoch(train) [64][3380/3757] lr: 1.000e-03 eta: 10:20:33 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.5402 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0487 loss: 1.0487 2022/06/30 09:51:16 - mmengine - INFO - Epoch(train) [64][3400/3757] lr: 1.000e-03 eta: 10:20:27 time: 0.247 data_time: 0.015 memory: 6404 grad_norm: 8.1607 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2543 loss: 1.2543 2022/06/30 09:51:21 - mmengine - INFO - Epoch(train) [64][3420/3757] lr: 1.000e-03 eta: 10:20:22 time: 0.254 data_time: 0.019 memory: 6404 grad_norm: 7.7315 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1650 loss: 1.1650 2022/06/30 09:51:26 - mmengine - INFO - Epoch(train) [64][3440/3757] lr: 1.000e-03 eta: 10:20:16 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 7.7159 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3406 loss: 1.3406 2022/06/30 09:51:32 - mmengine - INFO - Epoch(train) [64][3460/3757] lr: 1.000e-03 eta: 10:20:11 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 7.9796 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9561 loss: 0.9561 2022/06/30 09:51:37 - mmengine - INFO - Epoch(train) [64][3480/3757] lr: 1.000e-03 eta: 10:20:05 time: 0.281 data_time: 0.019 memory: 6404 grad_norm: 9.3763 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2872 loss: 1.2872 2022/06/30 09:51:43 - mmengine - INFO - Epoch(train) [64][3500/3757] lr: 1.000e-03 eta: 10:20:00 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.1927 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3146 loss: 1.3146 2022/06/30 09:51:49 - mmengine - INFO - Epoch(train) [64][3520/3757] lr: 1.000e-03 eta: 10:19:55 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 7.1320 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2304 loss: 1.2304 2022/06/30 09:51:54 - mmengine - INFO - Epoch(train) [64][3540/3757] lr: 1.000e-03 eta: 10:19:49 time: 0.253 data_time: 0.027 memory: 6404 grad_norm: 7.3455 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4820 loss: 1.4820 2022/06/30 09:52:00 - mmengine - INFO - Epoch(train) [64][3560/3757] lr: 1.000e-03 eta: 10:19:44 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.9204 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3549 loss: 1.3549 2022/06/30 09:52:05 - mmengine - INFO - Epoch(train) [64][3580/3757] lr: 1.000e-03 eta: 10:19:38 time: 0.269 data_time: 0.008 memory: 6404 grad_norm: 7.3049 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1028 loss: 1.1028 2022/06/30 09:52:10 - mmengine - INFO - Epoch(train) [64][3600/3757] lr: 1.000e-03 eta: 10:19:32 time: 0.260 data_time: 0.024 memory: 6404 grad_norm: 7.4505 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1801 loss: 1.1801 2022/06/30 09:52:15 - mmengine - INFO - Epoch(train) [64][3620/3757] lr: 1.000e-03 eta: 10:19:27 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 8.3151 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2931 loss: 1.2931 2022/06/30 09:52:21 - mmengine - INFO - Epoch(train) [64][3640/3757] lr: 1.000e-03 eta: 10:19:21 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 7.0842 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1097 loss: 1.1097 2022/06/30 09:52:26 - mmengine - INFO - Epoch(train) [64][3660/3757] lr: 1.000e-03 eta: 10:19:15 time: 0.252 data_time: 0.025 memory: 6404 grad_norm: 7.7788 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2092 loss: 1.2092 2022/06/30 09:52:31 - mmengine - INFO - Epoch(train) [64][3680/3757] lr: 1.000e-03 eta: 10:19:10 time: 0.243 data_time: 0.012 memory: 6404 grad_norm: 7.0503 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6475 loss: 1.6475 2022/06/30 09:52:37 - mmengine - INFO - Epoch(train) [64][3700/3757] lr: 1.000e-03 eta: 10:19:04 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 7.4891 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8549 loss: 0.8549 2022/06/30 09:52:42 - mmengine - INFO - Epoch(train) [64][3720/3757] lr: 1.000e-03 eta: 10:18:59 time: 0.270 data_time: 0.073 memory: 6404 grad_norm: 7.5356 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2167 loss: 1.2167 2022/06/30 09:52:48 - mmengine - INFO - Epoch(train) [64][3740/3757] lr: 1.000e-03 eta: 10:18:53 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 7.5664 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2622 loss: 1.2622 2022/06/30 09:52:52 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 09:52:59 - mmengine - INFO - Epoch(val) [64][20/310] eta: 0:01:26 time: 0.100 data_time: 0.016 memory: 6404 2022/06/30 09:53:05 - mmengine - INFO - Epoch(val) [64][40/310] eta: 0:01:13 time: 0.087 data_time: 0.007 memory: 1479 2022/06/30 09:53:09 - mmengine - INFO - Epoch(val) [64][60/310] eta: 0:00:23 time: 0.091 data_time: 0.006 memory: 1479 2022/06/30 09:53:15 - mmengine - INFO - Epoch(val) [64][80/310] eta: 0:01:10 time: 0.339 data_time: 0.266 memory: 1479 2022/06/30 09:53:21 - mmengine - INFO - Epoch(val) [64][100/310] eta: 0:00:58 time: 0.529 data_time: 0.447 memory: 1479 2022/06/30 09:53:25 - mmengine - INFO - Epoch(val) [64][120/310] eta: 0:00:33 time: 0.082 data_time: 0.005 memory: 1479 2022/06/30 09:53:31 - mmengine - INFO - Epoch(val) [64][140/310] eta: 0:00:57 time: 0.529 data_time: 0.450 memory: 1479 2022/06/30 09:53:37 - mmengine - INFO - Epoch(val) [64][160/310] eta: 0:00:47 time: 1.433 data_time: 1.358 memory: 1479 2022/06/30 09:53:41 - mmengine - INFO - Epoch(val) [64][180/310] eta: 0:00:38 time: 0.077 data_time: 0.005 memory: 1479 2022/06/30 09:53:47 - mmengine - INFO - Epoch(val) [64][200/310] eta: 0:00:33 time: 0.257 data_time: 0.182 memory: 1479 2022/06/30 09:53:52 - mmengine - INFO - Epoch(val) [64][220/310] eta: 0:00:25 time: 0.558 data_time: 0.486 memory: 1479 2022/06/30 09:53:57 - mmengine - INFO - Epoch(val) [64][240/310] eta: 0:00:19 time: 0.083 data_time: 0.009 memory: 1479 2022/06/30 09:54:02 - mmengine - INFO - Epoch(val) [64][260/310] eta: 0:00:14 time: 0.497 data_time: 0.420 memory: 1479 2022/06/30 09:54:08 - mmengine - INFO - Epoch(val) [64][280/310] eta: 0:00:08 time: 0.829 data_time: 0.756 memory: 1479 2022/06/30 09:54:12 - mmengine - INFO - Epoch(val) [64][300/310] eta: 0:00:02 time: 0.085 data_time: 0.006 memory: 1479 2022/06/30 09:54:15 - mmengine - INFO - Epoch(val) [64][310/310] acc/top1: 0.6644 acc/top5: 0.8668 acc/mean1: 0.6643 2022/06/30 09:54:24 - mmengine - INFO - Epoch(train) [65][20/3757] lr: 1.000e-03 eta: 10:18:44 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 8.3230 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6305 loss: 1.6305 2022/06/30 09:54:30 - mmengine - INFO - Epoch(train) [65][40/3757] lr: 1.000e-03 eta: 10:18:39 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.8006 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1082 loss: 1.1082 2022/06/30 09:54:35 - mmengine - INFO - Epoch(train) [65][60/3757] lr: 1.000e-03 eta: 10:18:33 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 7.9694 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0725 loss: 1.0725 2022/06/30 09:54:41 - mmengine - INFO - Epoch(train) [65][80/3757] lr: 1.000e-03 eta: 10:18:28 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 7.6583 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8642 loss: 0.8642 2022/06/30 09:54:47 - mmengine - INFO - Epoch(train) [65][100/3757] lr: 1.000e-03 eta: 10:18:22 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 7.9805 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9001 loss: 0.9001 2022/06/30 09:54:52 - mmengine - INFO - Epoch(train) [65][120/3757] lr: 1.000e-03 eta: 10:18:17 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 6.5943 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0345 loss: 1.0345 2022/06/30 09:54:57 - mmengine - INFO - Epoch(train) [65][140/3757] lr: 1.000e-03 eta: 10:18:11 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 7.0506 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1152 loss: 1.1152 2022/06/30 09:55:03 - mmengine - INFO - Epoch(train) [65][160/3757] lr: 1.000e-03 eta: 10:18:06 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 7.0908 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2518 loss: 1.2518 2022/06/30 09:55:08 - mmengine - INFO - Epoch(train) [65][180/3757] lr: 1.000e-03 eta: 10:18:00 time: 0.263 data_time: 0.012 memory: 6404 grad_norm: 7.7373 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2269 loss: 1.2269 2022/06/30 09:55:14 - mmengine - INFO - Epoch(train) [65][200/3757] lr: 1.000e-03 eta: 10:17:55 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 7.2401 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3529 loss: 1.3529 2022/06/30 09:55:20 - mmengine - INFO - Epoch(train) [65][220/3757] lr: 1.000e-03 eta: 10:17:49 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 7.8478 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5556 loss: 1.5556 2022/06/30 09:55:25 - mmengine - INFO - Epoch(train) [65][240/3757] lr: 1.000e-03 eta: 10:17:44 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 7.2144 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0990 loss: 1.0990 2022/06/30 09:55:31 - mmengine - INFO - Epoch(train) [65][260/3757] lr: 1.000e-03 eta: 10:17:38 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 8.6796 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0233 loss: 1.0233 2022/06/30 09:55:36 - mmengine - INFO - Epoch(train) [65][280/3757] lr: 1.000e-03 eta: 10:17:33 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 7.3110 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2071 loss: 1.2071 2022/06/30 09:55:42 - mmengine - INFO - Epoch(train) [65][300/3757] lr: 1.000e-03 eta: 10:17:27 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.3279 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2378 loss: 1.2378 2022/06/30 09:55:47 - mmengine - INFO - Epoch(train) [65][320/3757] lr: 1.000e-03 eta: 10:17:22 time: 0.253 data_time: 0.016 memory: 6404 grad_norm: 6.4829 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8696 loss: 0.8696 2022/06/30 09:55:52 - mmengine - INFO - Epoch(train) [65][340/3757] lr: 1.000e-03 eta: 10:17:16 time: 0.262 data_time: 0.009 memory: 6404 grad_norm: 7.1341 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0860 loss: 1.0860 2022/06/30 09:55:57 - mmengine - INFO - Epoch(train) [65][360/3757] lr: 1.000e-03 eta: 10:17:10 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 7.4875 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0073 loss: 1.0073 2022/06/30 09:56:03 - mmengine - INFO - Epoch(train) [65][380/3757] lr: 1.000e-03 eta: 10:17:05 time: 0.256 data_time: 0.015 memory: 6404 grad_norm: 7.9502 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1450 loss: 1.1450 2022/06/30 09:56:08 - mmengine - INFO - Epoch(train) [65][400/3757] lr: 1.000e-03 eta: 10:16:59 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 6.6219 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2819 loss: 1.2819 2022/06/30 09:56:14 - mmengine - INFO - Epoch(train) [65][420/3757] lr: 1.000e-03 eta: 10:16:54 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 6.3189 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0536 loss: 1.0536 2022/06/30 09:56:20 - mmengine - INFO - Epoch(train) [65][440/3757] lr: 1.000e-03 eta: 10:16:49 time: 0.263 data_time: 0.058 memory: 6404 grad_norm: 8.1257 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1207 loss: 1.1207 2022/06/30 09:56:25 - mmengine - INFO - Epoch(train) [65][460/3757] lr: 1.000e-03 eta: 10:16:43 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 7.7684 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4447 loss: 1.4447 2022/06/30 09:56:31 - mmengine - INFO - Epoch(train) [65][480/3757] lr: 1.000e-03 eta: 10:16:38 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 7.4792 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4969 loss: 1.4969 2022/06/30 09:56:36 - mmengine - INFO - Epoch(train) [65][500/3757] lr: 1.000e-03 eta: 10:16:32 time: 0.246 data_time: 0.013 memory: 6404 grad_norm: 7.7007 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0892 loss: 1.0892 2022/06/30 09:56:41 - mmengine - INFO - Epoch(train) [65][520/3757] lr: 1.000e-03 eta: 10:16:26 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 7.0402 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9668 loss: 0.9668 2022/06/30 09:56:47 - mmengine - INFO - Epoch(train) [65][540/3757] lr: 1.000e-03 eta: 10:16:21 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 7.0202 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3580 loss: 1.3580 2022/06/30 09:56:50 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 09:56:52 - mmengine - INFO - Epoch(train) [65][560/3757] lr: 1.000e-03 eta: 10:16:15 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 7.1766 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9147 loss: 0.9147 2022/06/30 09:56:58 - mmengine - INFO - Epoch(train) [65][580/3757] lr: 1.000e-03 eta: 10:16:10 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 9.0701 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5715 loss: 1.5715 2022/06/30 09:57:03 - mmengine - INFO - Epoch(train) [65][600/3757] lr: 1.000e-03 eta: 10:16:04 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 7.3400 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8161 loss: 0.8161 2022/06/30 09:57:09 - mmengine - INFO - Epoch(train) [65][620/3757] lr: 1.000e-03 eta: 10:15:59 time: 0.417 data_time: 0.011 memory: 6404 grad_norm: 7.5299 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2339 loss: 1.2339 2022/06/30 09:57:14 - mmengine - INFO - Epoch(train) [65][640/3757] lr: 1.000e-03 eta: 10:15:53 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 7.6753 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2129 loss: 1.2129 2022/06/30 09:57:20 - mmengine - INFO - Epoch(train) [65][660/3757] lr: 1.000e-03 eta: 10:15:48 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 6.2543 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1449 loss: 1.1449 2022/06/30 09:57:25 - mmengine - INFO - Epoch(train) [65][680/3757] lr: 1.000e-03 eta: 10:15:42 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 8.3836 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1998 loss: 1.1998 2022/06/30 09:57:31 - mmengine - INFO - Epoch(train) [65][700/3757] lr: 1.000e-03 eta: 10:15:37 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 7.7275 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2402 loss: 1.2402 2022/06/30 09:57:36 - mmengine - INFO - Epoch(train) [65][720/3757] lr: 1.000e-03 eta: 10:15:31 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 7.2523 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9944 loss: 0.9944 2022/06/30 09:57:41 - mmengine - INFO - Epoch(train) [65][740/3757] lr: 1.000e-03 eta: 10:15:25 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 8.2508 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9480 loss: 0.9480 2022/06/30 09:57:47 - mmengine - INFO - Epoch(train) [65][760/3757] lr: 1.000e-03 eta: 10:15:20 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 9.0918 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.1481 loss: 1.1481 2022/06/30 09:57:52 - mmengine - INFO - Epoch(train) [65][780/3757] lr: 1.000e-03 eta: 10:15:15 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.9522 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0189 loss: 1.0189 2022/06/30 09:57:58 - mmengine - INFO - Epoch(train) [65][800/3757] lr: 1.000e-03 eta: 10:15:09 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 8.2163 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0379 loss: 1.0379 2022/06/30 09:58:04 - mmengine - INFO - Epoch(train) [65][820/3757] lr: 1.000e-03 eta: 10:15:04 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 7.7883 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0368 loss: 1.0368 2022/06/30 09:58:09 - mmengine - INFO - Epoch(train) [65][840/3757] lr: 1.000e-03 eta: 10:14:58 time: 0.311 data_time: 0.011 memory: 6404 grad_norm: 7.8838 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2807 loss: 1.2807 2022/06/30 09:58:14 - mmengine - INFO - Epoch(train) [65][860/3757] lr: 1.000e-03 eta: 10:14:52 time: 0.250 data_time: 0.015 memory: 6404 grad_norm: 6.8645 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3082 loss: 1.3082 2022/06/30 09:58:20 - mmengine - INFO - Epoch(train) [65][880/3757] lr: 1.000e-03 eta: 10:14:47 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 7.7072 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3752 loss: 1.3752 2022/06/30 09:58:25 - mmengine - INFO - Epoch(train) [65][900/3757] lr: 1.000e-03 eta: 10:14:41 time: 0.264 data_time: 0.010 memory: 6404 grad_norm: 6.7047 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4721 loss: 1.4721 2022/06/30 09:58:30 - mmengine - INFO - Epoch(train) [65][920/3757] lr: 1.000e-03 eta: 10:14:36 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 6.8238 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3149 loss: 1.3149 2022/06/30 09:58:36 - mmengine - INFO - Epoch(train) [65][940/3757] lr: 1.000e-03 eta: 10:14:30 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 7.9613 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2185 loss: 1.2185 2022/06/30 09:58:41 - mmengine - INFO - Epoch(train) [65][960/3757] lr: 1.000e-03 eta: 10:14:25 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 8.0749 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0003 loss: 1.0003 2022/06/30 09:58:47 - mmengine - INFO - Epoch(train) [65][980/3757] lr: 1.000e-03 eta: 10:14:19 time: 0.593 data_time: 0.014 memory: 6404 grad_norm: 7.2170 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0624 loss: 1.0624 2022/06/30 09:58:52 - mmengine - INFO - Epoch(train) [65][1000/3757] lr: 1.000e-03 eta: 10:14:14 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 8.4875 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8227 loss: 1.8227 2022/06/30 09:58:58 - mmengine - INFO - Epoch(train) [65][1020/3757] lr: 1.000e-03 eta: 10:14:08 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 7.3702 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3935 loss: 1.3935 2022/06/30 09:59:03 - mmengine - INFO - Epoch(train) [65][1040/3757] lr: 1.000e-03 eta: 10:14:03 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 8.7252 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3628 loss: 1.3628 2022/06/30 09:59:09 - mmengine - INFO - Epoch(train) [65][1060/3757] lr: 1.000e-03 eta: 10:13:58 time: 0.448 data_time: 0.010 memory: 6404 grad_norm: 7.6210 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0756 loss: 1.0756 2022/06/30 09:59:14 - mmengine - INFO - Epoch(train) [65][1080/3757] lr: 1.000e-03 eta: 10:13:52 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 6.0961 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1768 loss: 1.1768 2022/06/30 09:59:20 - mmengine - INFO - Epoch(train) [65][1100/3757] lr: 1.000e-03 eta: 10:13:46 time: 0.271 data_time: 0.015 memory: 6404 grad_norm: 8.9328 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2736 loss: 1.2736 2022/06/30 09:59:25 - mmengine - INFO - Epoch(train) [65][1120/3757] lr: 1.000e-03 eta: 10:13:41 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 7.0876 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0998 loss: 1.0998 2022/06/30 09:59:30 - mmengine - INFO - Epoch(train) [65][1140/3757] lr: 1.000e-03 eta: 10:13:35 time: 0.261 data_time: 0.015 memory: 6404 grad_norm: 7.6797 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3024 loss: 1.3024 2022/06/30 09:59:35 - mmengine - INFO - Epoch(train) [65][1160/3757] lr: 1.000e-03 eta: 10:13:29 time: 0.255 data_time: 0.012 memory: 6404 grad_norm: 8.9504 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2323 loss: 1.2323 2022/06/30 09:59:41 - mmengine - INFO - Epoch(train) [65][1180/3757] lr: 1.000e-03 eta: 10:13:24 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 8.5686 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3273 loss: 1.3273 2022/06/30 09:59:46 - mmengine - INFO - Epoch(train) [65][1200/3757] lr: 1.000e-03 eta: 10:13:18 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 6.4638 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4893 loss: 1.4893 2022/06/30 09:59:52 - mmengine - INFO - Epoch(train) [65][1220/3757] lr: 1.000e-03 eta: 10:13:13 time: 0.254 data_time: 0.022 memory: 6404 grad_norm: 7.2110 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3797 loss: 1.3797 2022/06/30 09:59:58 - mmengine - INFO - Epoch(train) [65][1240/3757] lr: 1.000e-03 eta: 10:13:08 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 6.9117 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6572 loss: 1.6572 2022/06/30 10:00:03 - mmengine - INFO - Epoch(train) [65][1260/3757] lr: 1.000e-03 eta: 10:13:02 time: 0.241 data_time: 0.010 memory: 6404 grad_norm: 7.0044 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1786 loss: 1.1786 2022/06/30 10:00:08 - mmengine - INFO - Epoch(train) [65][1280/3757] lr: 1.000e-03 eta: 10:12:56 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 7.7054 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3289 loss: 1.3289 2022/06/30 10:00:14 - mmengine - INFO - Epoch(train) [65][1300/3757] lr: 1.000e-03 eta: 10:12:51 time: 0.270 data_time: 0.013 memory: 6404 grad_norm: 7.1079 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1337 loss: 1.1337 2022/06/30 10:00:20 - mmengine - INFO - Epoch(train) [65][1320/3757] lr: 1.000e-03 eta: 10:12:46 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 8.7219 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2283 loss: 1.2283 2022/06/30 10:00:25 - mmengine - INFO - Epoch(train) [65][1340/3757] lr: 1.000e-03 eta: 10:12:40 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 6.4380 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2854 loss: 1.2854 2022/06/30 10:00:30 - mmengine - INFO - Epoch(train) [65][1360/3757] lr: 1.000e-03 eta: 10:12:35 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 9.2211 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9794 loss: 0.9794 2022/06/30 10:00:36 - mmengine - INFO - Epoch(train) [65][1380/3757] lr: 1.000e-03 eta: 10:12:29 time: 0.255 data_time: 0.012 memory: 6404 grad_norm: 6.9470 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2450 loss: 1.2450 2022/06/30 10:00:42 - mmengine - INFO - Epoch(train) [65][1400/3757] lr: 1.000e-03 eta: 10:12:24 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 6.7194 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8387 loss: 0.8387 2022/06/30 10:00:47 - mmengine - INFO - Epoch(train) [65][1420/3757] lr: 1.000e-03 eta: 10:12:18 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 5.9737 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9785 loss: 0.9785 2022/06/30 10:00:53 - mmengine - INFO - Epoch(train) [65][1440/3757] lr: 1.000e-03 eta: 10:12:13 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.8970 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0366 loss: 1.0366 2022/06/30 10:00:58 - mmengine - INFO - Epoch(train) [65][1460/3757] lr: 1.000e-03 eta: 10:12:07 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 6.4549 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1476 loss: 1.1476 2022/06/30 10:01:03 - mmengine - INFO - Epoch(train) [65][1480/3757] lr: 1.000e-03 eta: 10:12:02 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 8.9540 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7038 loss: 1.7038 2022/06/30 10:01:09 - mmengine - INFO - Epoch(train) [65][1500/3757] lr: 1.000e-03 eta: 10:11:56 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.8489 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3149 loss: 1.3149 2022/06/30 10:01:14 - mmengine - INFO - Epoch(train) [65][1520/3757] lr: 1.000e-03 eta: 10:11:50 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 8.4364 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4519 loss: 1.4519 2022/06/30 10:01:20 - mmengine - INFO - Epoch(train) [65][1540/3757] lr: 1.000e-03 eta: 10:11:45 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 7.5353 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2439 loss: 1.2439 2022/06/30 10:01:23 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 10:01:25 - mmengine - INFO - Epoch(train) [65][1560/3757] lr: 1.000e-03 eta: 10:11:39 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 7.2909 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0028 loss: 1.0028 2022/06/30 10:01:32 - mmengine - INFO - Epoch(train) [65][1580/3757] lr: 1.000e-03 eta: 10:11:34 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 7.2801 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2153 loss: 1.2153 2022/06/30 10:01:37 - mmengine - INFO - Epoch(train) [65][1600/3757] lr: 1.000e-03 eta: 10:11:29 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 7.8875 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6651 loss: 1.6651 2022/06/30 10:01:42 - mmengine - INFO - Epoch(train) [65][1620/3757] lr: 1.000e-03 eta: 10:11:23 time: 0.260 data_time: 0.016 memory: 6404 grad_norm: 7.5808 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2327 loss: 1.2327 2022/06/30 10:01:47 - mmengine - INFO - Epoch(train) [65][1640/3757] lr: 1.000e-03 eta: 10:11:17 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 9.2660 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0337 loss: 1.0337 2022/06/30 10:01:53 - mmengine - INFO - Epoch(train) [65][1660/3757] lr: 1.000e-03 eta: 10:11:12 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 7.4327 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2482 loss: 1.2482 2022/06/30 10:01:58 - mmengine - INFO - Epoch(train) [65][1680/3757] lr: 1.000e-03 eta: 10:11:06 time: 0.253 data_time: 0.019 memory: 6404 grad_norm: 8.1050 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1101 loss: 1.1101 2022/06/30 10:02:03 - mmengine - INFO - Epoch(train) [65][1700/3757] lr: 1.000e-03 eta: 10:11:01 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 7.4305 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5076 loss: 1.5076 2022/06/30 10:02:08 - mmengine - INFO - Epoch(train) [65][1720/3757] lr: 1.000e-03 eta: 10:10:55 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 7.7606 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1569 loss: 1.1569 2022/06/30 10:02:14 - mmengine - INFO - Epoch(train) [65][1740/3757] lr: 1.000e-03 eta: 10:10:50 time: 0.253 data_time: 0.021 memory: 6404 grad_norm: 6.6592 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0120 loss: 1.0120 2022/06/30 10:02:19 - mmengine - INFO - Epoch(train) [65][1760/3757] lr: 1.000e-03 eta: 10:10:44 time: 0.270 data_time: 0.007 memory: 6404 grad_norm: 6.6610 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3543 loss: 1.3543 2022/06/30 10:02:25 - mmengine - INFO - Epoch(train) [65][1780/3757] lr: 1.000e-03 eta: 10:10:38 time: 0.267 data_time: 0.015 memory: 6404 grad_norm: 7.0995 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5104 loss: 1.5104 2022/06/30 10:02:30 - mmengine - INFO - Epoch(train) [65][1800/3757] lr: 1.000e-03 eta: 10:10:33 time: 0.260 data_time: 0.020 memory: 6404 grad_norm: 6.4815 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2189 loss: 1.2189 2022/06/30 10:02:36 - mmengine - INFO - Epoch(train) [65][1820/3757] lr: 1.000e-03 eta: 10:10:27 time: 0.262 data_time: 0.012 memory: 6404 grad_norm: 8.4932 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1699 loss: 1.1699 2022/06/30 10:02:42 - mmengine - INFO - Epoch(train) [65][1840/3757] lr: 1.000e-03 eta: 10:10:22 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 7.1513 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0724 loss: 1.0724 2022/06/30 10:02:48 - mmengine - INFO - Epoch(train) [65][1860/3757] lr: 1.000e-03 eta: 10:10:17 time: 0.251 data_time: 0.044 memory: 6404 grad_norm: 7.5123 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1112 loss: 1.1112 2022/06/30 10:02:53 - mmengine - INFO - Epoch(train) [65][1880/3757] lr: 1.000e-03 eta: 10:10:12 time: 0.268 data_time: 0.008 memory: 6404 grad_norm: 8.3589 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1485 loss: 1.1485 2022/06/30 10:02:59 - mmengine - INFO - Epoch(train) [65][1900/3757] lr: 1.000e-03 eta: 10:10:06 time: 0.279 data_time: 0.008 memory: 6404 grad_norm: 7.8071 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1751 loss: 1.1751 2022/06/30 10:03:04 - mmengine - INFO - Epoch(train) [65][1920/3757] lr: 1.000e-03 eta: 10:10:00 time: 0.239 data_time: 0.023 memory: 6404 grad_norm: 7.4166 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9752 loss: 0.9752 2022/06/30 10:03:09 - mmengine - INFO - Epoch(train) [65][1940/3757] lr: 1.000e-03 eta: 10:09:55 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.4586 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1336 loss: 1.1336 2022/06/30 10:03:14 - mmengine - INFO - Epoch(train) [65][1960/3757] lr: 1.000e-03 eta: 10:09:49 time: 0.268 data_time: 0.011 memory: 6404 grad_norm: 7.8323 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0170 loss: 1.0170 2022/06/30 10:03:20 - mmengine - INFO - Epoch(train) [65][1980/3757] lr: 1.000e-03 eta: 10:09:43 time: 0.293 data_time: 0.015 memory: 6404 grad_norm: 7.1933 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4621 loss: 1.4621 2022/06/30 10:03:27 - mmengine - INFO - Epoch(train) [65][2000/3757] lr: 1.000e-03 eta: 10:09:39 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 8.1945 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9899 loss: 0.9899 2022/06/30 10:03:32 - mmengine - INFO - Epoch(train) [65][2020/3757] lr: 1.000e-03 eta: 10:09:33 time: 0.251 data_time: 0.025 memory: 6404 grad_norm: 7.8471 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2740 loss: 1.2740 2022/06/30 10:03:38 - mmengine - INFO - Epoch(train) [65][2040/3757] lr: 1.000e-03 eta: 10:09:28 time: 0.279 data_time: 0.010 memory: 6404 grad_norm: 7.4120 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1545 loss: 1.1545 2022/06/30 10:03:43 - mmengine - INFO - Epoch(train) [65][2060/3757] lr: 1.000e-03 eta: 10:09:22 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 5.7504 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2108 loss: 1.2108 2022/06/30 10:03:48 - mmengine - INFO - Epoch(train) [65][2080/3757] lr: 1.000e-03 eta: 10:09:17 time: 0.244 data_time: 0.022 memory: 6404 grad_norm: 7.8605 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3576 loss: 1.3576 2022/06/30 10:03:53 - mmengine - INFO - Epoch(train) [65][2100/3757] lr: 1.000e-03 eta: 10:09:11 time: 0.251 data_time: 0.014 memory: 6404 grad_norm: 8.8830 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0231 loss: 1.0231 2022/06/30 10:03:59 - mmengine - INFO - Epoch(train) [65][2120/3757] lr: 1.000e-03 eta: 10:09:05 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 8.0306 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1518 loss: 1.1518 2022/06/30 10:04:04 - mmengine - INFO - Epoch(train) [65][2140/3757] lr: 1.000e-03 eta: 10:09:00 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 6.5357 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1663 loss: 1.1663 2022/06/30 10:04:10 - mmengine - INFO - Epoch(train) [65][2160/3757] lr: 1.000e-03 eta: 10:08:54 time: 0.366 data_time: 0.007 memory: 6404 grad_norm: 8.2111 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9638 loss: 0.9638 2022/06/30 10:04:15 - mmengine - INFO - Epoch(train) [65][2180/3757] lr: 1.000e-03 eta: 10:08:49 time: 0.265 data_time: 0.013 memory: 6404 grad_norm: 7.0273 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1486 loss: 1.1486 2022/06/30 10:04:21 - mmengine - INFO - Epoch(train) [65][2200/3757] lr: 1.000e-03 eta: 10:08:43 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 9.9536 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1781 loss: 1.1781 2022/06/30 10:04:26 - mmengine - INFO - Epoch(train) [65][2220/3757] lr: 1.000e-03 eta: 10:08:38 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.8766 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1410 loss: 1.1410 2022/06/30 10:04:32 - mmengine - INFO - Epoch(train) [65][2240/3757] lr: 1.000e-03 eta: 10:08:33 time: 0.520 data_time: 0.011 memory: 6404 grad_norm: 7.6739 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9554 loss: 0.9554 2022/06/30 10:04:38 - mmengine - INFO - Epoch(train) [65][2260/3757] lr: 1.000e-03 eta: 10:08:27 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 8.5194 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5385 loss: 1.5385 2022/06/30 10:04:43 - mmengine - INFO - Epoch(train) [65][2280/3757] lr: 1.000e-03 eta: 10:08:22 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 7.9074 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2928 loss: 1.2928 2022/06/30 10:04:49 - mmengine - INFO - Epoch(train) [65][2300/3757] lr: 1.000e-03 eta: 10:08:16 time: 0.513 data_time: 0.033 memory: 6404 grad_norm: 7.9955 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2990 loss: 1.2990 2022/06/30 10:04:54 - mmengine - INFO - Epoch(train) [65][2320/3757] lr: 1.000e-03 eta: 10:08:11 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 7.6835 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9939 loss: 0.9939 2022/06/30 10:05:00 - mmengine - INFO - Epoch(train) [65][2340/3757] lr: 1.000e-03 eta: 10:08:05 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 7.4457 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1861 loss: 1.1861 2022/06/30 10:05:05 - mmengine - INFO - Epoch(train) [65][2360/3757] lr: 1.000e-03 eta: 10:08:00 time: 0.271 data_time: 0.019 memory: 6404 grad_norm: 7.3622 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1374 loss: 1.1374 2022/06/30 10:05:11 - mmengine - INFO - Epoch(train) [65][2380/3757] lr: 1.000e-03 eta: 10:07:54 time: 0.249 data_time: 0.016 memory: 6404 grad_norm: 8.2456 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0066 loss: 1.0066 2022/06/30 10:05:16 - mmengine - INFO - Epoch(train) [65][2400/3757] lr: 1.000e-03 eta: 10:07:48 time: 0.253 data_time: 0.016 memory: 6404 grad_norm: 7.9145 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7074 loss: 1.7074 2022/06/30 10:05:21 - mmengine - INFO - Epoch(train) [65][2420/3757] lr: 1.000e-03 eta: 10:07:43 time: 0.427 data_time: 0.017 memory: 6404 grad_norm: 7.4608 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8285 loss: 0.8285 2022/06/30 10:05:27 - mmengine - INFO - Epoch(train) [65][2440/3757] lr: 1.000e-03 eta: 10:07:38 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 8.0031 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8404 loss: 0.8404 2022/06/30 10:05:33 - mmengine - INFO - Epoch(train) [65][2460/3757] lr: 1.000e-03 eta: 10:07:32 time: 0.254 data_time: 0.060 memory: 6404 grad_norm: 7.5486 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0090 loss: 1.0090 2022/06/30 10:05:39 - mmengine - INFO - Epoch(train) [65][2480/3757] lr: 1.000e-03 eta: 10:07:27 time: 0.555 data_time: 0.009 memory: 6404 grad_norm: 9.6060 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0661 loss: 1.0661 2022/06/30 10:05:44 - mmengine - INFO - Epoch(train) [65][2500/3757] lr: 1.000e-03 eta: 10:07:21 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 6.6171 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0514 loss: 1.0514 2022/06/30 10:05:50 - mmengine - INFO - Epoch(train) [65][2520/3757] lr: 1.000e-03 eta: 10:07:16 time: 1.314 data_time: 0.551 memory: 6404 grad_norm: 8.6585 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9406 loss: 0.9406 2022/06/30 10:05:56 - mmengine - INFO - Epoch(train) [65][2540/3757] lr: 1.000e-03 eta: 10:07:11 time: 0.266 data_time: 0.010 memory: 6404 grad_norm: 7.8728 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0451 loss: 1.0451 2022/06/30 10:05:59 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 10:06:01 - mmengine - INFO - Epoch(train) [65][2560/3757] lr: 1.000e-03 eta: 10:07:05 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 7.5078 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0743 loss: 1.0743 2022/06/30 10:06:06 - mmengine - INFO - Epoch(train) [65][2580/3757] lr: 1.000e-03 eta: 10:06:59 time: 0.263 data_time: 0.027 memory: 6404 grad_norm: 7.8376 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0663 loss: 1.0663 2022/06/30 10:06:11 - mmengine - INFO - Epoch(train) [65][2600/3757] lr: 1.000e-03 eta: 10:06:54 time: 0.381 data_time: 0.009 memory: 6404 grad_norm: 8.0256 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0593 loss: 1.0593 2022/06/30 10:06:17 - mmengine - INFO - Epoch(train) [65][2620/3757] lr: 1.000e-03 eta: 10:06:48 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.2028 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9630 loss: 0.9630 2022/06/30 10:06:23 - mmengine - INFO - Epoch(train) [65][2640/3757] lr: 1.000e-03 eta: 10:06:43 time: 0.275 data_time: 0.026 memory: 6404 grad_norm: 7.4261 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3793 loss: 1.3793 2022/06/30 10:06:28 - mmengine - INFO - Epoch(train) [65][2660/3757] lr: 1.000e-03 eta: 10:06:38 time: 0.263 data_time: 0.012 memory: 6404 grad_norm: 6.7265 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2014 loss: 1.2014 2022/06/30 10:06:34 - mmengine - INFO - Epoch(train) [65][2680/3757] lr: 1.000e-03 eta: 10:06:32 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 9.0163 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1433 loss: 1.1433 2022/06/30 10:06:40 - mmengine - INFO - Epoch(train) [65][2700/3757] lr: 1.000e-03 eta: 10:06:27 time: 0.299 data_time: 0.013 memory: 6404 grad_norm: 7.4290 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3905 loss: 1.3905 2022/06/30 10:06:45 - mmengine - INFO - Epoch(train) [65][2720/3757] lr: 1.000e-03 eta: 10:06:21 time: 0.284 data_time: 0.012 memory: 6404 grad_norm: 7.7838 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1837 loss: 1.1837 2022/06/30 10:06:50 - mmengine - INFO - Epoch(train) [65][2740/3757] lr: 1.000e-03 eta: 10:06:16 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.0328 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3345 loss: 1.3345 2022/06/30 10:06:56 - mmengine - INFO - Epoch(train) [65][2760/3757] lr: 1.000e-03 eta: 10:06:10 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 7.3923 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0956 loss: 1.0956 2022/06/30 10:07:01 - mmengine - INFO - Epoch(train) [65][2780/3757] lr: 1.000e-03 eta: 10:06:05 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 9.0515 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7558 loss: 1.7558 2022/06/30 10:07:07 - mmengine - INFO - Epoch(train) [65][2800/3757] lr: 1.000e-03 eta: 10:05:59 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 8.7086 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0022 loss: 1.0022 2022/06/30 10:07:12 - mmengine - INFO - Epoch(train) [65][2820/3757] lr: 1.000e-03 eta: 10:05:53 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 7.7600 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4947 loss: 1.4947 2022/06/30 10:07:17 - mmengine - INFO - Epoch(train) [65][2840/3757] lr: 1.000e-03 eta: 10:05:48 time: 0.255 data_time: 0.019 memory: 6404 grad_norm: 7.7164 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3293 loss: 1.3293 2022/06/30 10:07:23 - mmengine - INFO - Epoch(train) [65][2860/3757] lr: 1.000e-03 eta: 10:05:42 time: 0.254 data_time: 0.019 memory: 6404 grad_norm: 8.0135 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3535 loss: 1.3535 2022/06/30 10:07:28 - mmengine - INFO - Epoch(train) [65][2880/3757] lr: 1.000e-03 eta: 10:05:37 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 6.0710 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1505 loss: 1.1505 2022/06/30 10:07:34 - mmengine - INFO - Epoch(train) [65][2900/3757] lr: 1.000e-03 eta: 10:05:31 time: 0.249 data_time: 0.015 memory: 6404 grad_norm: 6.7744 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9418 loss: 0.9418 2022/06/30 10:07:40 - mmengine - INFO - Epoch(train) [65][2920/3757] lr: 1.000e-03 eta: 10:05:26 time: 0.338 data_time: 0.010 memory: 6404 grad_norm: 8.5141 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3028 loss: 1.3028 2022/06/30 10:07:45 - mmengine - INFO - Epoch(train) [65][2940/3757] lr: 1.000e-03 eta: 10:05:20 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 7.6980 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1545 loss: 1.1545 2022/06/30 10:07:51 - mmengine - INFO - Epoch(train) [65][2960/3757] lr: 1.000e-03 eta: 10:05:15 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 8.0592 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1659 loss: 1.1659 2022/06/30 10:07:56 - mmengine - INFO - Epoch(train) [65][2980/3757] lr: 1.000e-03 eta: 10:05:09 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 7.9796 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2331 loss: 1.2331 2022/06/30 10:08:01 - mmengine - INFO - Epoch(train) [65][3000/3757] lr: 1.000e-03 eta: 10:05:04 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 8.4606 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2085 loss: 1.2085 2022/06/30 10:08:08 - mmengine - INFO - Epoch(train) [65][3020/3757] lr: 1.000e-03 eta: 10:04:59 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 7.3697 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2607 loss: 1.2607 2022/06/30 10:08:14 - mmengine - INFO - Epoch(train) [65][3040/3757] lr: 1.000e-03 eta: 10:04:54 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 7.2967 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4949 loss: 1.4949 2022/06/30 10:08:19 - mmengine - INFO - Epoch(train) [65][3060/3757] lr: 1.000e-03 eta: 10:04:48 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 9.0629 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4913 loss: 1.4913 2022/06/30 10:08:24 - mmengine - INFO - Epoch(train) [65][3080/3757] lr: 1.000e-03 eta: 10:04:42 time: 0.273 data_time: 0.013 memory: 6404 grad_norm: 7.4175 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2637 loss: 1.2637 2022/06/30 10:08:29 - mmengine - INFO - Epoch(train) [65][3100/3757] lr: 1.000e-03 eta: 10:04:37 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 9.0158 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2424 loss: 1.2424 2022/06/30 10:08:34 - mmengine - INFO - Epoch(train) [65][3120/3757] lr: 1.000e-03 eta: 10:04:31 time: 0.247 data_time: 0.014 memory: 6404 grad_norm: 9.8524 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3824 loss: 1.3824 2022/06/30 10:08:40 - mmengine - INFO - Epoch(train) [65][3140/3757] lr: 1.000e-03 eta: 10:04:25 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 9.5558 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2063 loss: 1.2063 2022/06/30 10:08:45 - mmengine - INFO - Epoch(train) [65][3160/3757] lr: 1.000e-03 eta: 10:04:20 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 7.8885 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8968 loss: 0.8968 2022/06/30 10:08:51 - mmengine - INFO - Epoch(train) [65][3180/3757] lr: 1.000e-03 eta: 10:04:14 time: 0.246 data_time: 0.031 memory: 6404 grad_norm: 6.9377 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9969 loss: 0.9969 2022/06/30 10:08:57 - mmengine - INFO - Epoch(train) [65][3200/3757] lr: 1.000e-03 eta: 10:04:09 time: 0.265 data_time: 0.010 memory: 6404 grad_norm: 8.2464 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8858 loss: 0.8858 2022/06/30 10:09:02 - mmengine - INFO - Epoch(train) [65][3220/3757] lr: 1.000e-03 eta: 10:04:04 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 8.1311 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1901 loss: 1.1901 2022/06/30 10:09:07 - mmengine - INFO - Epoch(train) [65][3240/3757] lr: 1.000e-03 eta: 10:03:58 time: 0.258 data_time: 0.062 memory: 6404 grad_norm: 7.4160 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0099 loss: 1.0099 2022/06/30 10:09:13 - mmengine - INFO - Epoch(train) [65][3260/3757] lr: 1.000e-03 eta: 10:03:52 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 8.2731 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2144 loss: 1.2144 2022/06/30 10:09:18 - mmengine - INFO - Epoch(train) [65][3280/3757] lr: 1.000e-03 eta: 10:03:47 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 7.3743 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4061 loss: 1.4061 2022/06/30 10:09:24 - mmengine - INFO - Epoch(train) [65][3300/3757] lr: 1.000e-03 eta: 10:03:41 time: 0.260 data_time: 0.024 memory: 6404 grad_norm: 7.4038 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1370 loss: 1.1370 2022/06/30 10:09:29 - mmengine - INFO - Epoch(train) [65][3320/3757] lr: 1.000e-03 eta: 10:03:36 time: 0.265 data_time: 0.018 memory: 6404 grad_norm: 6.6867 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3319 loss: 1.3319 2022/06/30 10:09:36 - mmengine - INFO - Epoch(train) [65][3340/3757] lr: 1.000e-03 eta: 10:03:31 time: 0.280 data_time: 0.006 memory: 6404 grad_norm: 7.9529 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8385 loss: 0.8385 2022/06/30 10:09:41 - mmengine - INFO - Epoch(train) [65][3360/3757] lr: 1.000e-03 eta: 10:03:25 time: 0.256 data_time: 0.015 memory: 6404 grad_norm: 7.5350 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8381 loss: 0.8381 2022/06/30 10:09:46 - mmengine - INFO - Epoch(train) [65][3380/3757] lr: 1.000e-03 eta: 10:03:20 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.8797 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0523 loss: 1.0523 2022/06/30 10:09:52 - mmengine - INFO - Epoch(train) [65][3400/3757] lr: 1.000e-03 eta: 10:03:15 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 7.3047 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3527 loss: 1.3527 2022/06/30 10:09:58 - mmengine - INFO - Epoch(train) [65][3420/3757] lr: 1.000e-03 eta: 10:03:09 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 6.9605 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3689 loss: 1.3689 2022/06/30 10:10:03 - mmengine - INFO - Epoch(train) [65][3440/3757] lr: 1.000e-03 eta: 10:03:03 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 6.5849 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0321 loss: 1.0321 2022/06/30 10:10:09 - mmengine - INFO - Epoch(train) [65][3460/3757] lr: 1.000e-03 eta: 10:02:58 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.4184 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2562 loss: 1.2562 2022/06/30 10:10:14 - mmengine - INFO - Epoch(train) [65][3480/3757] lr: 1.000e-03 eta: 10:02:52 time: 0.260 data_time: 0.037 memory: 6404 grad_norm: 8.2639 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3997 loss: 1.3997 2022/06/30 10:10:19 - mmengine - INFO - Epoch(train) [65][3500/3757] lr: 1.000e-03 eta: 10:02:47 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 7.8614 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2144 loss: 1.2144 2022/06/30 10:10:24 - mmengine - INFO - Epoch(train) [65][3520/3757] lr: 1.000e-03 eta: 10:02:41 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 7.3697 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5303 loss: 1.5303 2022/06/30 10:10:30 - mmengine - INFO - Epoch(train) [65][3540/3757] lr: 1.000e-03 eta: 10:02:36 time: 0.373 data_time: 0.010 memory: 6404 grad_norm: 8.6488 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1832 loss: 1.1832 2022/06/30 10:10:34 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 10:10:36 - mmengine - INFO - Epoch(train) [65][3560/3757] lr: 1.000e-03 eta: 10:02:30 time: 0.266 data_time: 0.011 memory: 6404 grad_norm: 8.3166 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2714 loss: 1.2714 2022/06/30 10:10:42 - mmengine - INFO - Epoch(train) [65][3580/3757] lr: 1.000e-03 eta: 10:02:25 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 8.3750 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2105 loss: 1.2105 2022/06/30 10:10:47 - mmengine - INFO - Epoch(train) [65][3600/3757] lr: 1.000e-03 eta: 10:02:19 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 6.9277 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3885 loss: 1.3885 2022/06/30 10:10:52 - mmengine - INFO - Epoch(train) [65][3620/3757] lr: 1.000e-03 eta: 10:02:14 time: 0.263 data_time: 0.013 memory: 6404 grad_norm: 7.8418 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2889 loss: 1.2889 2022/06/30 10:10:57 - mmengine - INFO - Epoch(train) [65][3640/3757] lr: 1.000e-03 eta: 10:02:08 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 7.9857 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2621 loss: 1.2621 2022/06/30 10:11:03 - mmengine - INFO - Epoch(train) [65][3660/3757] lr: 1.000e-03 eta: 10:02:02 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 8.7748 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3807 loss: 1.3807 2022/06/30 10:11:08 - mmengine - INFO - Epoch(train) [65][3680/3757] lr: 1.000e-03 eta: 10:01:57 time: 0.376 data_time: 0.035 memory: 6404 grad_norm: 6.2208 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3694 loss: 1.3694 2022/06/30 10:11:13 - mmengine - INFO - Epoch(train) [65][3700/3757] lr: 1.000e-03 eta: 10:01:51 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 5.9712 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1935 loss: 1.1935 2022/06/30 10:11:19 - mmengine - INFO - Epoch(train) [65][3720/3757] lr: 1.000e-03 eta: 10:01:46 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.6288 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3037 loss: 1.3037 2022/06/30 10:11:25 - mmengine - INFO - Epoch(train) [65][3740/3757] lr: 1.000e-03 eta: 10:01:40 time: 0.270 data_time: 0.012 memory: 6404 grad_norm: 7.2916 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2264 loss: 1.2264 2022/06/30 10:11:29 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 10:11:29 - mmengine - INFO - Saving checkpoint at 65 epochs 2022/06/30 10:11:40 - mmengine - INFO - Epoch(val) [65][20/310] eta: 0:01:27 time: 0.081 data_time: 0.006 memory: 6404 2022/06/30 10:11:46 - mmengine - INFO - Epoch(val) [65][40/310] eta: 0:01:17 time: 0.159 data_time: 0.087 memory: 1479 2022/06/30 10:11:49 - mmengine - INFO - Epoch(val) [65][60/310] eta: 0:00:20 time: 0.082 data_time: 0.008 memory: 1479 2022/06/30 10:11:56 - mmengine - INFO - Epoch(val) [65][80/310] eta: 0:01:09 time: 0.081 data_time: 0.006 memory: 1479 2022/06/30 10:12:01 - mmengine - INFO - Epoch(val) [65][100/310] eta: 0:00:56 time: 0.870 data_time: 0.792 memory: 1479 2022/06/30 10:12:05 - mmengine - INFO - Epoch(val) [65][120/310] eta: 0:00:33 time: 0.080 data_time: 0.005 memory: 1479 2022/06/30 10:12:12 - mmengine - INFO - Epoch(val) [65][140/310] eta: 0:00:52 time: 0.084 data_time: 0.008 memory: 1479 2022/06/30 10:12:17 - mmengine - INFO - Epoch(val) [65][160/310] eta: 0:00:43 time: 1.313 data_time: 1.235 memory: 1479 2022/06/30 10:12:22 - mmengine - INFO - Epoch(val) [65][180/310] eta: 0:00:31 time: 0.082 data_time: 0.007 memory: 1479 2022/06/30 10:12:27 - mmengine - INFO - Epoch(val) [65][200/310] eta: 0:00:33 time: 0.091 data_time: 0.006 memory: 1479 2022/06/30 10:12:33 - mmengine - INFO - Epoch(val) [65][220/310] eta: 0:00:23 time: 0.094 data_time: 0.010 memory: 1479 2022/06/30 10:12:37 - mmengine - INFO - Epoch(val) [65][240/310] eta: 0:00:17 time: 0.083 data_time: 0.005 memory: 1479 2022/06/30 10:12:43 - mmengine - INFO - Epoch(val) [65][260/310] eta: 0:00:14 time: 0.083 data_time: 0.007 memory: 1479 2022/06/30 10:12:49 - mmengine - INFO - Epoch(val) [65][280/310] eta: 0:00:08 time: 0.109 data_time: 0.009 memory: 1479 2022/06/30 10:12:50 - mmengine - INFO - Epoch(val) [65][300/310] eta: 0:00:00 time: 0.077 data_time: 0.005 memory: 1479 2022/06/30 10:12:52 - mmengine - INFO - Epoch(val) [65][310/310] acc/top1: 0.6616 acc/top5: 0.8666 acc/mean1: 0.6615 2022/06/30 10:13:02 - mmengine - INFO - Epoch(train) [66][20/3757] lr: 1.000e-03 eta: 10:01:31 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 8.7687 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1643 loss: 1.1643 2022/06/30 10:13:08 - mmengine - INFO - Epoch(train) [66][40/3757] lr: 1.000e-03 eta: 10:01:26 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.0667 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8816 loss: 0.8816 2022/06/30 10:13:13 - mmengine - INFO - Epoch(train) [66][60/3757] lr: 1.000e-03 eta: 10:01:20 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.5131 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2424 loss: 1.2424 2022/06/30 10:13:18 - mmengine - INFO - Epoch(train) [66][80/3757] lr: 1.000e-03 eta: 10:01:15 time: 0.241 data_time: 0.009 memory: 6404 grad_norm: 7.4565 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2469 loss: 1.2469 2022/06/30 10:13:24 - mmengine - INFO - Epoch(train) [66][100/3757] lr: 1.000e-03 eta: 10:01:09 time: 0.301 data_time: 0.020 memory: 6404 grad_norm: 7.3868 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0189 loss: 1.0189 2022/06/30 10:13:30 - mmengine - INFO - Epoch(train) [66][120/3757] lr: 1.000e-03 eta: 10:01:04 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 9.2110 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9547 loss: 0.9547 2022/06/30 10:13:36 - mmengine - INFO - Epoch(train) [66][140/3757] lr: 1.000e-03 eta: 10:00:59 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.2799 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2775 loss: 1.2775 2022/06/30 10:13:41 - mmengine - INFO - Epoch(train) [66][160/3757] lr: 1.000e-03 eta: 10:00:53 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 7.0823 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2340 loss: 1.2340 2022/06/30 10:13:46 - mmengine - INFO - Epoch(train) [66][180/3757] lr: 1.000e-03 eta: 10:00:48 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 8.4524 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2064 loss: 1.2064 2022/06/30 10:13:52 - mmengine - INFO - Epoch(train) [66][200/3757] lr: 1.000e-03 eta: 10:00:42 time: 0.251 data_time: 0.021 memory: 6404 grad_norm: 6.5583 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0426 loss: 1.0426 2022/06/30 10:13:57 - mmengine - INFO - Epoch(train) [66][220/3757] lr: 1.000e-03 eta: 10:00:36 time: 0.242 data_time: 0.012 memory: 6404 grad_norm: 7.3882 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3625 loss: 1.3625 2022/06/30 10:14:02 - mmengine - INFO - Epoch(train) [66][240/3757] lr: 1.000e-03 eta: 10:00:31 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 8.6800 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9071 loss: 0.9071 2022/06/30 10:14:08 - mmengine - INFO - Epoch(train) [66][260/3757] lr: 1.000e-03 eta: 10:00:25 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 8.0290 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3637 loss: 1.3637 2022/06/30 10:14:13 - mmengine - INFO - Epoch(train) [66][280/3757] lr: 1.000e-03 eta: 10:00:19 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.6435 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9470 loss: 0.9470 2022/06/30 10:14:18 - mmengine - INFO - Epoch(train) [66][300/3757] lr: 1.000e-03 eta: 10:00:14 time: 0.264 data_time: 0.011 memory: 6404 grad_norm: 6.0225 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9687 loss: 0.9687 2022/06/30 10:14:24 - mmengine - INFO - Epoch(train) [66][320/3757] lr: 1.000e-03 eta: 10:00:08 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 8.6772 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3971 loss: 1.3971 2022/06/30 10:14:29 - mmengine - INFO - Epoch(train) [66][340/3757] lr: 1.000e-03 eta: 10:00:03 time: 0.242 data_time: 0.010 memory: 6404 grad_norm: 7.2334 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1945 loss: 1.1945 2022/06/30 10:14:35 - mmengine - INFO - Epoch(train) [66][360/3757] lr: 1.000e-03 eta: 9:59:57 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 7.4903 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4466 loss: 1.4466 2022/06/30 10:14:40 - mmengine - INFO - Epoch(train) [66][380/3757] lr: 1.000e-03 eta: 9:59:52 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 8.7297 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5013 loss: 1.5013 2022/06/30 10:14:46 - mmengine - INFO - Epoch(train) [66][400/3757] lr: 1.000e-03 eta: 9:59:47 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 7.4964 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3054 loss: 1.3054 2022/06/30 10:14:52 - mmengine - INFO - Epoch(train) [66][420/3757] lr: 1.000e-03 eta: 9:59:42 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 6.3928 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4991 loss: 1.4991 2022/06/30 10:14:58 - mmengine - INFO - Epoch(train) [66][440/3757] lr: 1.000e-03 eta: 9:59:36 time: 0.248 data_time: 0.020 memory: 6404 grad_norm: 7.5194 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3203 loss: 1.3203 2022/06/30 10:15:03 - mmengine - INFO - Epoch(train) [66][460/3757] lr: 1.000e-03 eta: 9:59:30 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 7.5370 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4228 loss: 1.4228 2022/06/30 10:15:08 - mmengine - INFO - Epoch(train) [66][480/3757] lr: 1.000e-03 eta: 9:59:25 time: 0.243 data_time: 0.037 memory: 6404 grad_norm: 6.6916 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8034 loss: 0.8034 2022/06/30 10:15:14 - mmengine - INFO - Epoch(train) [66][500/3757] lr: 1.000e-03 eta: 9:59:19 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 7.3776 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1117 loss: 1.1117 2022/06/30 10:15:19 - mmengine - INFO - Epoch(train) [66][520/3757] lr: 1.000e-03 eta: 9:59:14 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 7.7281 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5194 loss: 1.5194 2022/06/30 10:15:24 - mmengine - INFO - Epoch(train) [66][540/3757] lr: 1.000e-03 eta: 9:59:08 time: 0.261 data_time: 0.071 memory: 6404 grad_norm: 7.6431 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4755 loss: 1.4755 2022/06/30 10:15:30 - mmengine - INFO - Epoch(train) [66][560/3757] lr: 1.000e-03 eta: 9:59:03 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.4961 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6531 loss: 1.6531 2022/06/30 10:15:36 - mmengine - INFO - Epoch(train) [66][580/3757] lr: 1.000e-03 eta: 9:58:57 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.1571 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4681 loss: 1.4681 2022/06/30 10:15:41 - mmengine - INFO - Epoch(train) [66][600/3757] lr: 1.000e-03 eta: 9:58:52 time: 0.252 data_time: 0.016 memory: 6404 grad_norm: 7.9619 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2541 loss: 1.2541 2022/06/30 10:15:47 - mmengine - INFO - Epoch(train) [66][620/3757] lr: 1.000e-03 eta: 9:58:46 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 8.1678 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8647 loss: 0.8647 2022/06/30 10:15:52 - mmengine - INFO - Epoch(train) [66][640/3757] lr: 1.000e-03 eta: 9:58:41 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 8.2766 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1036 loss: 1.1036 2022/06/30 10:15:57 - mmengine - INFO - Epoch(train) [66][660/3757] lr: 1.000e-03 eta: 9:58:35 time: 0.270 data_time: 0.027 memory: 6404 grad_norm: 6.1822 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9234 loss: 0.9234 2022/06/30 10:16:03 - mmengine - INFO - Epoch(train) [66][680/3757] lr: 1.000e-03 eta: 9:58:30 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.0872 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1849 loss: 1.1849 2022/06/30 10:16:08 - mmengine - INFO - Epoch(train) [66][700/3757] lr: 1.000e-03 eta: 9:58:24 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 8.6123 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4059 loss: 1.4059 2022/06/30 10:16:13 - mmengine - INFO - Epoch(train) [66][720/3757] lr: 1.000e-03 eta: 9:58:18 time: 0.259 data_time: 0.022 memory: 6404 grad_norm: 9.0348 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1695 loss: 1.1695 2022/06/30 10:16:19 - mmengine - INFO - Epoch(train) [66][740/3757] lr: 1.000e-03 eta: 9:58:13 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 6.2999 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3110 loss: 1.3110 2022/06/30 10:16:24 - mmengine - INFO - Epoch(train) [66][760/3757] lr: 1.000e-03 eta: 9:58:07 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 7.2095 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1201 loss: 1.1201 2022/06/30 10:16:30 - mmengine - INFO - Epoch(train) [66][780/3757] lr: 1.000e-03 eta: 9:58:02 time: 0.246 data_time: 0.020 memory: 6404 grad_norm: 7.1057 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3698 loss: 1.3698 2022/06/30 10:16:35 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 10:16:36 - mmengine - INFO - Epoch(train) [66][800/3757] lr: 1.000e-03 eta: 9:57:57 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 6.8329 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0283 loss: 1.0283 2022/06/30 10:16:41 - mmengine - INFO - Epoch(train) [66][820/3757] lr: 1.000e-03 eta: 9:57:51 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 8.4939 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1783 loss: 1.1783 2022/06/30 10:16:47 - mmengine - INFO - Epoch(train) [66][840/3757] lr: 1.000e-03 eta: 9:57:46 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 8.8080 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1810 loss: 1.1810 2022/06/30 10:16:52 - mmengine - INFO - Epoch(train) [66][860/3757] lr: 1.000e-03 eta: 9:57:40 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 6.8179 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4718 loss: 1.4718 2022/06/30 10:16:57 - mmengine - INFO - Epoch(train) [66][880/3757] lr: 1.000e-03 eta: 9:57:34 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 7.2375 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9950 loss: 0.9950 2022/06/30 10:17:03 - mmengine - INFO - Epoch(train) [66][900/3757] lr: 1.000e-03 eta: 9:57:29 time: 0.255 data_time: 0.026 memory: 6404 grad_norm: 8.3057 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0520 loss: 1.0520 2022/06/30 10:17:09 - mmengine - INFO - Epoch(train) [66][920/3757] lr: 1.000e-03 eta: 9:57:24 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 9.0030 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3286 loss: 1.3286 2022/06/30 10:17:14 - mmengine - INFO - Epoch(train) [66][940/3757] lr: 1.000e-03 eta: 9:57:18 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 8.8502 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0430 loss: 1.0430 2022/06/30 10:17:20 - mmengine - INFO - Epoch(train) [66][960/3757] lr: 1.000e-03 eta: 9:57:13 time: 0.260 data_time: 0.060 memory: 6404 grad_norm: 6.5817 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4924 loss: 1.4924 2022/06/30 10:17:26 - mmengine - INFO - Epoch(train) [66][980/3757] lr: 1.000e-03 eta: 9:57:07 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 7.8189 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9671 loss: 0.9671 2022/06/30 10:17:31 - mmengine - INFO - Epoch(train) [66][1000/3757] lr: 1.000e-03 eta: 9:57:02 time: 0.425 data_time: 0.007 memory: 6404 grad_norm: 8.4345 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2059 loss: 1.2059 2022/06/30 10:17:36 - mmengine - INFO - Epoch(train) [66][1020/3757] lr: 1.000e-03 eta: 9:56:56 time: 0.249 data_time: 0.024 memory: 6404 grad_norm: 7.3529 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5719 loss: 1.5719 2022/06/30 10:17:42 - mmengine - INFO - Epoch(train) [66][1040/3757] lr: 1.000e-03 eta: 9:56:51 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 9.4229 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3558 loss: 1.3558 2022/06/30 10:17:49 - mmengine - INFO - Epoch(train) [66][1060/3757] lr: 1.000e-03 eta: 9:56:46 time: 0.239 data_time: 0.014 memory: 6404 grad_norm: 8.2142 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1723 loss: 1.1723 2022/06/30 10:17:54 - mmengine - INFO - Epoch(train) [66][1080/3757] lr: 1.000e-03 eta: 9:56:40 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 6.9907 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8945 loss: 0.8945 2022/06/30 10:17:59 - mmengine - INFO - Epoch(train) [66][1100/3757] lr: 1.000e-03 eta: 9:56:35 time: 0.255 data_time: 0.030 memory: 6404 grad_norm: 7.4740 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1878 loss: 1.1878 2022/06/30 10:18:05 - mmengine - INFO - Epoch(train) [66][1120/3757] lr: 1.000e-03 eta: 9:56:29 time: 0.255 data_time: 0.014 memory: 6404 grad_norm: 7.0756 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3240 loss: 1.3240 2022/06/30 10:18:10 - mmengine - INFO - Epoch(train) [66][1140/3757] lr: 1.000e-03 eta: 9:56:23 time: 0.254 data_time: 0.025 memory: 6404 grad_norm: 6.0027 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0271 loss: 1.0271 2022/06/30 10:18:15 - mmengine - INFO - Epoch(train) [66][1160/3757] lr: 1.000e-03 eta: 9:56:18 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 7.0347 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2504 loss: 1.2504 2022/06/30 10:18:20 - mmengine - INFO - Epoch(train) [66][1180/3757] lr: 1.000e-03 eta: 9:56:12 time: 0.256 data_time: 0.019 memory: 6404 grad_norm: 7.2514 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1867 loss: 1.1867 2022/06/30 10:18:26 - mmengine - INFO - Epoch(train) [66][1200/3757] lr: 1.000e-03 eta: 9:56:07 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 8.6072 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1337 loss: 1.1337 2022/06/30 10:18:31 - mmengine - INFO - Epoch(train) [66][1220/3757] lr: 1.000e-03 eta: 9:56:01 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 7.7262 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1341 loss: 1.1341 2022/06/30 10:18:37 - mmengine - INFO - Epoch(train) [66][1240/3757] lr: 1.000e-03 eta: 9:55:56 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 9.2324 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0661 loss: 1.0661 2022/06/30 10:18:43 - mmengine - INFO - Epoch(train) [66][1260/3757] lr: 1.000e-03 eta: 9:55:51 time: 0.567 data_time: 0.380 memory: 6404 grad_norm: 6.7244 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0660 loss: 1.0660 2022/06/30 10:18:48 - mmengine - INFO - Epoch(train) [66][1280/3757] lr: 1.000e-03 eta: 9:55:45 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 6.9191 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9632 loss: 0.9632 2022/06/30 10:18:53 - mmengine - INFO - Epoch(train) [66][1300/3757] lr: 1.000e-03 eta: 9:55:39 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 5.9572 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0140 loss: 1.0140 2022/06/30 10:18:59 - mmengine - INFO - Epoch(train) [66][1320/3757] lr: 1.000e-03 eta: 9:55:34 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 7.7731 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4877 loss: 1.4877 2022/06/30 10:19:05 - mmengine - INFO - Epoch(train) [66][1340/3757] lr: 1.000e-03 eta: 9:55:28 time: 0.238 data_time: 0.011 memory: 6404 grad_norm: 8.1589 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2564 loss: 1.2564 2022/06/30 10:19:10 - mmengine - INFO - Epoch(train) [66][1360/3757] lr: 1.000e-03 eta: 9:55:23 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 7.7455 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9794 loss: 0.9794 2022/06/30 10:19:15 - mmengine - INFO - Epoch(train) [66][1380/3757] lr: 1.000e-03 eta: 9:55:17 time: 0.269 data_time: 0.008 memory: 6404 grad_norm: 8.0181 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1045 loss: 1.1045 2022/06/30 10:19:21 - mmengine - INFO - Epoch(train) [66][1400/3757] lr: 1.000e-03 eta: 9:55:12 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 7.2676 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3019 loss: 1.3019 2022/06/30 10:19:26 - mmengine - INFO - Epoch(train) [66][1420/3757] lr: 1.000e-03 eta: 9:55:06 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 6.3993 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0048 loss: 1.0048 2022/06/30 10:19:32 - mmengine - INFO - Epoch(train) [66][1440/3757] lr: 1.000e-03 eta: 9:55:01 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 8.1577 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2857 loss: 1.2857 2022/06/30 10:19:37 - mmengine - INFO - Epoch(train) [66][1460/3757] lr: 1.000e-03 eta: 9:54:55 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 8.5952 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0994 loss: 1.0994 2022/06/30 10:19:43 - mmengine - INFO - Epoch(train) [66][1480/3757] lr: 1.000e-03 eta: 9:54:50 time: 0.373 data_time: 0.006 memory: 6404 grad_norm: 7.8958 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3487 loss: 1.3487 2022/06/30 10:19:48 - mmengine - INFO - Epoch(train) [66][1500/3757] lr: 1.000e-03 eta: 9:54:44 time: 0.307 data_time: 0.007 memory: 6404 grad_norm: 6.9944 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8153 loss: 0.8153 2022/06/30 10:19:54 - mmengine - INFO - Epoch(train) [66][1520/3757] lr: 1.000e-03 eta: 9:54:39 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.3266 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2158 loss: 1.2158 2022/06/30 10:19:59 - mmengine - INFO - Epoch(train) [66][1540/3757] lr: 1.000e-03 eta: 9:54:33 time: 0.259 data_time: 0.006 memory: 6404 grad_norm: 6.2897 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5304 loss: 1.5304 2022/06/30 10:20:05 - mmengine - INFO - Epoch(train) [66][1560/3757] lr: 1.000e-03 eta: 9:54:28 time: 0.247 data_time: 0.018 memory: 6404 grad_norm: 7.6420 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2666 loss: 1.2666 2022/06/30 10:20:11 - mmengine - INFO - Epoch(train) [66][1580/3757] lr: 1.000e-03 eta: 9:54:22 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 6.6888 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1481 loss: 1.1481 2022/06/30 10:20:16 - mmengine - INFO - Epoch(train) [66][1600/3757] lr: 1.000e-03 eta: 9:54:17 time: 0.462 data_time: 0.017 memory: 6404 grad_norm: 9.2470 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9965 loss: 0.9965 2022/06/30 10:20:22 - mmengine - INFO - Epoch(train) [66][1620/3757] lr: 1.000e-03 eta: 9:54:12 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 7.8586 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2813 loss: 1.2813 2022/06/30 10:20:27 - mmengine - INFO - Epoch(train) [66][1640/3757] lr: 1.000e-03 eta: 9:54:06 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 9.3653 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4893 loss: 1.4893 2022/06/30 10:20:32 - mmengine - INFO - Epoch(train) [66][1660/3757] lr: 1.000e-03 eta: 9:54:00 time: 0.279 data_time: 0.010 memory: 6404 grad_norm: 7.3748 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9436 loss: 0.9436 2022/06/30 10:20:38 - mmengine - INFO - Epoch(train) [66][1680/3757] lr: 1.000e-03 eta: 9:53:55 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.8172 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3087 loss: 1.3087 2022/06/30 10:20:43 - mmengine - INFO - Epoch(train) [66][1700/3757] lr: 1.000e-03 eta: 9:53:49 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 8.0164 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8993 loss: 0.8993 2022/06/30 10:20:48 - mmengine - INFO - Epoch(train) [66][1720/3757] lr: 1.000e-03 eta: 9:53:44 time: 0.258 data_time: 0.022 memory: 6404 grad_norm: 7.6989 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2580 loss: 1.2580 2022/06/30 10:20:54 - mmengine - INFO - Epoch(train) [66][1740/3757] lr: 1.000e-03 eta: 9:53:38 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 7.1680 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2042 loss: 1.2042 2022/06/30 10:21:01 - mmengine - INFO - Epoch(train) [66][1760/3757] lr: 1.000e-03 eta: 9:53:33 time: 0.272 data_time: 0.007 memory: 6404 grad_norm: 6.0031 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7414 loss: 0.7414 2022/06/30 10:21:06 - mmengine - INFO - Epoch(train) [66][1780/3757] lr: 1.000e-03 eta: 9:53:28 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 8.7468 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3259 loss: 1.3259 2022/06/30 10:21:10 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 10:21:11 - mmengine - INFO - Epoch(train) [66][1800/3757] lr: 1.000e-03 eta: 9:53:22 time: 0.278 data_time: 0.008 memory: 6404 grad_norm: 9.1455 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4280 loss: 1.4280 2022/06/30 10:21:17 - mmengine - INFO - Epoch(train) [66][1820/3757] lr: 1.000e-03 eta: 9:53:17 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 8.0948 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.7666 loss: 0.7666 2022/06/30 10:21:22 - mmengine - INFO - Epoch(train) [66][1840/3757] lr: 1.000e-03 eta: 9:53:11 time: 0.264 data_time: 0.072 memory: 6404 grad_norm: 6.7204 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0171 loss: 1.0171 2022/06/30 10:21:27 - mmengine - INFO - Epoch(train) [66][1860/3757] lr: 1.000e-03 eta: 9:53:05 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 8.8156 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9723 loss: 0.9723 2022/06/30 10:21:33 - mmengine - INFO - Epoch(train) [66][1880/3757] lr: 1.000e-03 eta: 9:53:00 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 6.2624 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0297 loss: 1.0297 2022/06/30 10:21:38 - mmengine - INFO - Epoch(train) [66][1900/3757] lr: 1.000e-03 eta: 9:52:54 time: 0.245 data_time: 0.020 memory: 6404 grad_norm: 7.1137 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1105 loss: 1.1105 2022/06/30 10:21:46 - mmengine - INFO - Epoch(train) [66][1920/3757] lr: 1.000e-03 eta: 9:52:50 time: 0.309 data_time: 0.008 memory: 6404 grad_norm: 7.3462 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1332 loss: 1.1332 2022/06/30 10:21:51 - mmengine - INFO - Epoch(train) [66][1940/3757] lr: 1.000e-03 eta: 9:52:44 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.6404 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0126 loss: 1.0126 2022/06/30 10:21:56 - mmengine - INFO - Epoch(train) [66][1960/3757] lr: 1.000e-03 eta: 9:52:39 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 6.6951 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2752 loss: 1.2752 2022/06/30 10:22:01 - mmengine - INFO - Epoch(train) [66][1980/3757] lr: 1.000e-03 eta: 9:52:33 time: 0.360 data_time: 0.007 memory: 6404 grad_norm: 7.1144 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8816 loss: 0.8816 2022/06/30 10:22:07 - mmengine - INFO - Epoch(train) [66][2000/3757] lr: 1.000e-03 eta: 9:52:27 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 8.7638 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2757 loss: 1.2757 2022/06/30 10:22:12 - mmengine - INFO - Epoch(train) [66][2020/3757] lr: 1.000e-03 eta: 9:52:22 time: 0.251 data_time: 0.019 memory: 6404 grad_norm: 7.3809 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0603 loss: 1.0603 2022/06/30 10:22:17 - mmengine - INFO - Epoch(train) [66][2040/3757] lr: 1.000e-03 eta: 9:52:16 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.6046 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1751 loss: 1.1751 2022/06/30 10:22:23 - mmengine - INFO - Epoch(train) [66][2060/3757] lr: 1.000e-03 eta: 9:52:11 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 7.7804 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0937 loss: 1.0937 2022/06/30 10:22:28 - mmengine - INFO - Epoch(train) [66][2080/3757] lr: 1.000e-03 eta: 9:52:05 time: 0.260 data_time: 0.024 memory: 6404 grad_norm: 7.0797 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7937 loss: 0.7937 2022/06/30 10:22:33 - mmengine - INFO - Epoch(train) [66][2100/3757] lr: 1.000e-03 eta: 9:51:59 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 7.0849 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8477 loss: 0.8477 2022/06/30 10:22:39 - mmengine - INFO - Epoch(train) [66][2120/3757] lr: 1.000e-03 eta: 9:51:54 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 9.5413 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9665 loss: 0.9665 2022/06/30 10:22:44 - mmengine - INFO - Epoch(train) [66][2140/3757] lr: 1.000e-03 eta: 9:51:48 time: 0.253 data_time: 0.033 memory: 6404 grad_norm: 7.4673 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1070 loss: 1.1070 2022/06/30 10:22:50 - mmengine - INFO - Epoch(train) [66][2160/3757] lr: 1.000e-03 eta: 9:51:43 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 7.1369 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3024 loss: 1.3024 2022/06/30 10:22:56 - mmengine - INFO - Epoch(train) [66][2180/3757] lr: 1.000e-03 eta: 9:51:38 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 7.0867 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8600 loss: 0.8600 2022/06/30 10:23:01 - mmengine - INFO - Epoch(train) [66][2200/3757] lr: 1.000e-03 eta: 9:51:32 time: 0.423 data_time: 0.054 memory: 6404 grad_norm: 7.6811 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8405 loss: 0.8405 2022/06/30 10:23:07 - mmengine - INFO - Epoch(train) [66][2220/3757] lr: 1.000e-03 eta: 9:51:27 time: 0.252 data_time: 0.047 memory: 6404 grad_norm: 7.9674 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1829 loss: 1.1829 2022/06/30 10:23:12 - mmengine - INFO - Epoch(train) [66][2240/3757] lr: 1.000e-03 eta: 9:51:21 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.4709 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1282 loss: 1.1282 2022/06/30 10:23:18 - mmengine - INFO - Epoch(train) [66][2260/3757] lr: 1.000e-03 eta: 9:51:16 time: 0.261 data_time: 0.025 memory: 6404 grad_norm: 7.6597 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3976 loss: 1.3976 2022/06/30 10:23:24 - mmengine - INFO - Epoch(train) [66][2280/3757] lr: 1.000e-03 eta: 9:51:11 time: 0.278 data_time: 0.007 memory: 6404 grad_norm: 8.3898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4444 loss: 1.4444 2022/06/30 10:23:29 - mmengine - INFO - Epoch(train) [66][2300/3757] lr: 1.000e-03 eta: 9:51:05 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 8.5315 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2314 loss: 1.2314 2022/06/30 10:23:35 - mmengine - INFO - Epoch(train) [66][2320/3757] lr: 1.000e-03 eta: 9:51:00 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.7711 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1619 loss: 1.1619 2022/06/30 10:23:40 - mmengine - INFO - Epoch(train) [66][2340/3757] lr: 1.000e-03 eta: 9:50:54 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.8780 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9618 loss: 0.9618 2022/06/30 10:23:45 - mmengine - INFO - Epoch(train) [66][2360/3757] lr: 1.000e-03 eta: 9:50:48 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 7.9526 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0119 loss: 1.0119 2022/06/30 10:23:50 - mmengine - INFO - Epoch(train) [66][2380/3757] lr: 1.000e-03 eta: 9:50:43 time: 0.260 data_time: 0.020 memory: 6404 grad_norm: 7.5739 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2420 loss: 1.2420 2022/06/30 10:23:56 - mmengine - INFO - Epoch(train) [66][2400/3757] lr: 1.000e-03 eta: 9:50:37 time: 0.254 data_time: 0.035 memory: 6404 grad_norm: 7.1427 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3907 loss: 1.3907 2022/06/30 10:24:01 - mmengine - INFO - Epoch(train) [66][2420/3757] lr: 1.000e-03 eta: 9:50:31 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 7.7215 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0175 loss: 1.0175 2022/06/30 10:24:06 - mmengine - INFO - Epoch(train) [66][2440/3757] lr: 1.000e-03 eta: 9:50:26 time: 0.256 data_time: 0.013 memory: 6404 grad_norm: 7.4818 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3052 loss: 1.3052 2022/06/30 10:24:12 - mmengine - INFO - Epoch(train) [66][2460/3757] lr: 1.000e-03 eta: 9:50:20 time: 0.265 data_time: 0.019 memory: 6404 grad_norm: 7.4556 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1617 loss: 1.1617 2022/06/30 10:24:17 - mmengine - INFO - Epoch(train) [66][2480/3757] lr: 1.000e-03 eta: 9:50:15 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.2254 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2022 loss: 1.2022 2022/06/30 10:24:23 - mmengine - INFO - Epoch(train) [66][2500/3757] lr: 1.000e-03 eta: 9:50:10 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.7832 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0494 loss: 1.0494 2022/06/30 10:24:28 - mmengine - INFO - Epoch(train) [66][2520/3757] lr: 1.000e-03 eta: 9:50:04 time: 0.253 data_time: 0.020 memory: 6404 grad_norm: 7.2418 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0565 loss: 1.0565 2022/06/30 10:24:34 - mmengine - INFO - Epoch(train) [66][2540/3757] lr: 1.000e-03 eta: 9:49:58 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 7.5669 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9344 loss: 0.9344 2022/06/30 10:24:39 - mmengine - INFO - Epoch(train) [66][2560/3757] lr: 1.000e-03 eta: 9:49:53 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 7.5553 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8768 loss: 0.8768 2022/06/30 10:24:45 - mmengine - INFO - Epoch(train) [66][2580/3757] lr: 1.000e-03 eta: 9:49:47 time: 0.251 data_time: 0.020 memory: 6404 grad_norm: 7.0011 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4203 loss: 1.4203 2022/06/30 10:24:50 - mmengine - INFO - Epoch(train) [66][2600/3757] lr: 1.000e-03 eta: 9:49:42 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 8.5309 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3536 loss: 1.3536 2022/06/30 10:24:56 - mmengine - INFO - Epoch(train) [66][2620/3757] lr: 1.000e-03 eta: 9:49:37 time: 0.269 data_time: 0.008 memory: 6404 grad_norm: 8.4797 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0166 loss: 1.0166 2022/06/30 10:25:01 - mmengine - INFO - Epoch(train) [66][2640/3757] lr: 1.000e-03 eta: 9:49:31 time: 0.243 data_time: 0.023 memory: 6404 grad_norm: 9.3615 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3128 loss: 1.3128 2022/06/30 10:25:07 - mmengine - INFO - Epoch(train) [66][2660/3757] lr: 1.000e-03 eta: 9:49:25 time: 0.247 data_time: 0.018 memory: 6404 grad_norm: 8.3461 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2714 loss: 1.2714 2022/06/30 10:25:12 - mmengine - INFO - Epoch(train) [66][2680/3757] lr: 1.000e-03 eta: 9:49:20 time: 0.348 data_time: 0.007 memory: 6404 grad_norm: 7.2921 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4986 loss: 1.4986 2022/06/30 10:25:18 - mmengine - INFO - Epoch(train) [66][2700/3757] lr: 1.000e-03 eta: 9:49:15 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 7.9629 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0148 loss: 1.0148 2022/06/30 10:25:24 - mmengine - INFO - Epoch(train) [66][2720/3757] lr: 1.000e-03 eta: 9:49:09 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 7.6090 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9499 loss: 0.9499 2022/06/30 10:25:29 - mmengine - INFO - Epoch(train) [66][2740/3757] lr: 1.000e-03 eta: 9:49:04 time: 0.266 data_time: 0.008 memory: 6404 grad_norm: 8.1454 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5640 loss: 1.5640 2022/06/30 10:25:35 - mmengine - INFO - Epoch(train) [66][2760/3757] lr: 1.000e-03 eta: 9:48:58 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 6.3799 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1222 loss: 1.1222 2022/06/30 10:25:40 - mmengine - INFO - Epoch(train) [66][2780/3757] lr: 1.000e-03 eta: 9:48:53 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 6.8305 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0654 loss: 1.0654 2022/06/30 10:25:45 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 10:25:46 - mmengine - INFO - Epoch(train) [66][2800/3757] lr: 1.000e-03 eta: 9:48:47 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 8.7129 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9841 loss: 0.9841 2022/06/30 10:25:51 - mmengine - INFO - Epoch(train) [66][2820/3757] lr: 1.000e-03 eta: 9:48:42 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.0787 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2219 loss: 1.2219 2022/06/30 10:25:57 - mmengine - INFO - Epoch(train) [66][2840/3757] lr: 1.000e-03 eta: 9:48:36 time: 0.259 data_time: 0.015 memory: 6404 grad_norm: 8.5337 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1363 loss: 1.1363 2022/06/30 10:26:03 - mmengine - INFO - Epoch(train) [66][2860/3757] lr: 1.000e-03 eta: 9:48:31 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.5478 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2412 loss: 1.2412 2022/06/30 10:26:08 - mmengine - INFO - Epoch(train) [66][2880/3757] lr: 1.000e-03 eta: 9:48:25 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 7.8523 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3355 loss: 1.3355 2022/06/30 10:26:14 - mmengine - INFO - Epoch(train) [66][2900/3757] lr: 1.000e-03 eta: 9:48:20 time: 0.620 data_time: 0.021 memory: 6404 grad_norm: 7.4541 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8791 loss: 0.8791 2022/06/30 10:26:19 - mmengine - INFO - Epoch(train) [66][2920/3757] lr: 1.000e-03 eta: 9:48:14 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 7.5745 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2334 loss: 1.2334 2022/06/30 10:26:25 - mmengine - INFO - Epoch(train) [66][2940/3757] lr: 1.000e-03 eta: 9:48:09 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 8.3616 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3097 loss: 1.3097 2022/06/30 10:26:30 - mmengine - INFO - Epoch(train) [66][2960/3757] lr: 1.000e-03 eta: 9:48:04 time: 0.266 data_time: 0.014 memory: 6404 grad_norm: 7.3336 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2885 loss: 1.2885 2022/06/30 10:26:36 - mmengine - INFO - Epoch(train) [66][2980/3757] lr: 1.000e-03 eta: 9:47:58 time: 0.266 data_time: 0.015 memory: 6404 grad_norm: 7.5276 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5164 loss: 1.5164 2022/06/30 10:26:41 - mmengine - INFO - Epoch(train) [66][3000/3757] lr: 1.000e-03 eta: 9:47:52 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 6.9559 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1902 loss: 1.1902 2022/06/30 10:26:46 - mmengine - INFO - Epoch(train) [66][3020/3757] lr: 1.000e-03 eta: 9:47:47 time: 0.303 data_time: 0.104 memory: 6404 grad_norm: 8.2175 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2468 loss: 1.2468 2022/06/30 10:26:52 - mmengine - INFO - Epoch(train) [66][3040/3757] lr: 1.000e-03 eta: 9:47:41 time: 0.262 data_time: 0.010 memory: 6404 grad_norm: 7.7124 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9153 loss: 0.9153 2022/06/30 10:26:57 - mmengine - INFO - Epoch(train) [66][3060/3757] lr: 1.000e-03 eta: 9:47:36 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 9.3872 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3134 loss: 1.3134 2022/06/30 10:27:03 - mmengine - INFO - Epoch(train) [66][3080/3757] lr: 1.000e-03 eta: 9:47:30 time: 0.718 data_time: 0.530 memory: 6404 grad_norm: 6.6846 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1630 loss: 1.1630 2022/06/30 10:27:08 - mmengine - INFO - Epoch(train) [66][3100/3757] lr: 1.000e-03 eta: 9:47:25 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 7.4350 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3824 loss: 1.3824 2022/06/30 10:27:14 - mmengine - INFO - Epoch(train) [66][3120/3757] lr: 1.000e-03 eta: 9:47:19 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 7.1346 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4618 loss: 1.4618 2022/06/30 10:27:19 - mmengine - INFO - Epoch(train) [66][3140/3757] lr: 1.000e-03 eta: 9:47:14 time: 0.288 data_time: 0.035 memory: 6404 grad_norm: 6.2503 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0948 loss: 1.0948 2022/06/30 10:27:25 - mmengine - INFO - Epoch(train) [66][3160/3757] lr: 1.000e-03 eta: 9:47:08 time: 0.309 data_time: 0.007 memory: 6404 grad_norm: 6.0121 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9992 loss: 0.9992 2022/06/30 10:27:31 - mmengine - INFO - Epoch(train) [66][3180/3757] lr: 1.000e-03 eta: 9:47:03 time: 0.277 data_time: 0.011 memory: 6404 grad_norm: 8.8615 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0126 loss: 1.0126 2022/06/30 10:27:36 - mmengine - INFO - Epoch(train) [66][3200/3757] lr: 1.000e-03 eta: 9:46:57 time: 0.261 data_time: 0.016 memory: 6404 grad_norm: 8.4328 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4947 loss: 1.4947 2022/06/30 10:27:41 - mmengine - INFO - Epoch(train) [66][3220/3757] lr: 1.000e-03 eta: 9:46:52 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 8.5688 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0567 loss: 1.0567 2022/06/30 10:27:46 - mmengine - INFO - Epoch(train) [66][3240/3757] lr: 1.000e-03 eta: 9:46:46 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 7.3301 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2219 loss: 1.2219 2022/06/30 10:27:53 - mmengine - INFO - Epoch(train) [66][3260/3757] lr: 1.000e-03 eta: 9:46:41 time: 0.270 data_time: 0.007 memory: 6404 grad_norm: 8.3476 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8191 loss: 0.8191 2022/06/30 10:27:58 - mmengine - INFO - Epoch(train) [66][3280/3757] lr: 1.000e-03 eta: 9:46:35 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.8774 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4241 loss: 1.4241 2022/06/30 10:28:03 - mmengine - INFO - Epoch(train) [66][3300/3757] lr: 1.000e-03 eta: 9:46:30 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 5.8184 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0985 loss: 1.0985 2022/06/30 10:28:08 - mmengine - INFO - Epoch(train) [66][3320/3757] lr: 1.000e-03 eta: 9:46:24 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 7.7533 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0158 loss: 1.0158 2022/06/30 10:28:14 - mmengine - INFO - Epoch(train) [66][3340/3757] lr: 1.000e-03 eta: 9:46:19 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 7.4295 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2350 loss: 1.2350 2022/06/30 10:28:19 - mmengine - INFO - Epoch(train) [66][3360/3757] lr: 1.000e-03 eta: 9:46:13 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 8.6784 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9511 loss: 0.9511 2022/06/30 10:28:25 - mmengine - INFO - Epoch(train) [66][3380/3757] lr: 1.000e-03 eta: 9:46:08 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.8523 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1085 loss: 1.1085 2022/06/30 10:28:30 - mmengine - INFO - Epoch(train) [66][3400/3757] lr: 1.000e-03 eta: 9:46:02 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.4038 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1762 loss: 1.1762 2022/06/30 10:28:35 - mmengine - INFO - Epoch(train) [66][3420/3757] lr: 1.000e-03 eta: 9:45:56 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 9.7610 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0452 loss: 1.0452 2022/06/30 10:28:41 - mmengine - INFO - Epoch(train) [66][3440/3757] lr: 1.000e-03 eta: 9:45:51 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 7.9573 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3224 loss: 1.3224 2022/06/30 10:28:47 - mmengine - INFO - Epoch(train) [66][3460/3757] lr: 1.000e-03 eta: 9:45:46 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 7.8715 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2931 loss: 1.2931 2022/06/30 10:28:52 - mmengine - INFO - Epoch(train) [66][3480/3757] lr: 1.000e-03 eta: 9:45:40 time: 0.304 data_time: 0.007 memory: 6404 grad_norm: 7.9794 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0548 loss: 1.0548 2022/06/30 10:28:57 - mmengine - INFO - Epoch(train) [66][3500/3757] lr: 1.000e-03 eta: 9:45:34 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 8.6214 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0217 loss: 1.0217 2022/06/30 10:29:03 - mmengine - INFO - Epoch(train) [66][3520/3757] lr: 1.000e-03 eta: 9:45:29 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 6.5292 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9442 loss: 0.9442 2022/06/30 10:29:09 - mmengine - INFO - Epoch(train) [66][3540/3757] lr: 1.000e-03 eta: 9:45:24 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 7.7477 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1186 loss: 1.1186 2022/06/30 10:29:14 - mmengine - INFO - Epoch(train) [66][3560/3757] lr: 1.000e-03 eta: 9:45:18 time: 0.263 data_time: 0.015 memory: 6404 grad_norm: 8.8142 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3012 loss: 1.3012 2022/06/30 10:29:20 - mmengine - INFO - Epoch(train) [66][3580/3757] lr: 1.000e-03 eta: 9:45:13 time: 0.244 data_time: 0.030 memory: 6404 grad_norm: 8.6835 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2586 loss: 1.2586 2022/06/30 10:29:25 - mmengine - INFO - Epoch(train) [66][3600/3757] lr: 1.000e-03 eta: 9:45:07 time: 0.275 data_time: 0.007 memory: 6404 grad_norm: 8.0675 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5848 loss: 1.5848 2022/06/30 10:29:31 - mmengine - INFO - Epoch(train) [66][3620/3757] lr: 1.000e-03 eta: 9:45:02 time: 0.262 data_time: 0.016 memory: 6404 grad_norm: 9.2094 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2511 loss: 1.2511 2022/06/30 10:29:36 - mmengine - INFO - Epoch(train) [66][3640/3757] lr: 1.000e-03 eta: 9:44:56 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.9341 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2784 loss: 1.2784 2022/06/30 10:29:41 - mmengine - INFO - Epoch(train) [66][3660/3757] lr: 1.000e-03 eta: 9:44:50 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 7.4431 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0004 loss: 1.0004 2022/06/30 10:29:46 - mmengine - INFO - Epoch(train) [66][3680/3757] lr: 1.000e-03 eta: 9:44:45 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 6.5460 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2437 loss: 1.2437 2022/06/30 10:29:52 - mmengine - INFO - Epoch(train) [66][3700/3757] lr: 1.000e-03 eta: 9:44:39 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 8.2573 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9970 loss: 0.9970 2022/06/30 10:29:58 - mmengine - INFO - Epoch(train) [66][3720/3757] lr: 1.000e-03 eta: 9:44:34 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.6195 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3389 loss: 1.3389 2022/06/30 10:30:04 - mmengine - INFO - Epoch(train) [66][3740/3757] lr: 1.000e-03 eta: 9:44:29 time: 0.235 data_time: 0.006 memory: 6404 grad_norm: 8.9012 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0437 loss: 1.0437 2022/06/30 10:30:08 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 10:30:15 - mmengine - INFO - Epoch(val) [66][20/310] eta: 0:01:34 time: 0.093 data_time: 0.011 memory: 6404 2022/06/30 10:30:22 - mmengine - INFO - Epoch(val) [66][40/310] eta: 0:01:32 time: 0.794 data_time: 0.708 memory: 1479 2022/06/30 10:30:25 - mmengine - INFO - Epoch(val) [66][60/310] eta: 0:00:27 time: 0.081 data_time: 0.005 memory: 1479 2022/06/30 10:30:32 - mmengine - INFO - Epoch(val) [66][80/310] eta: 0:01:21 time: 0.089 data_time: 0.007 memory: 1479 2022/06/30 10:30:38 - mmengine - INFO - Epoch(val) [66][100/310] eta: 0:01:01 time: 2.111 data_time: 2.024 memory: 1479 2022/06/30 10:30:42 - mmengine - INFO - Epoch(val) [66][120/310] eta: 0:00:50 time: 0.079 data_time: 0.005 memory: 1479 2022/06/30 10:30:48 - mmengine - INFO - Epoch(val) [66][140/310] eta: 0:00:55 time: 0.084 data_time: 0.007 memory: 1479 2022/06/30 10:30:54 - mmengine - INFO - Epoch(val) [66][160/310] eta: 0:00:50 time: 2.545 data_time: 2.459 memory: 1479 2022/06/30 10:30:58 - mmengine - INFO - Epoch(val) [66][180/310] eta: 0:00:37 time: 0.081 data_time: 0.006 memory: 1479 2022/06/30 10:31:05 - mmengine - INFO - Epoch(val) [66][200/310] eta: 0:00:32 time: 0.082 data_time: 0.008 memory: 1479 2022/06/30 10:31:10 - mmengine - INFO - Epoch(val) [66][220/310] eta: 0:00:26 time: 1.244 data_time: 1.160 memory: 1479 2022/06/30 10:31:14 - mmengine - INFO - Epoch(val) [66][240/310] eta: 0:00:17 time: 0.083 data_time: 0.005 memory: 1479 2022/06/30 10:31:19 - mmengine - INFO - Epoch(val) [66][260/310] eta: 0:00:13 time: 0.096 data_time: 0.009 memory: 1479 2022/06/30 10:31:25 - mmengine - INFO - Epoch(val) [66][280/310] eta: 0:00:08 time: 1.279 data_time: 1.194 memory: 1479 2022/06/30 10:31:29 - mmengine - INFO - Epoch(val) [66][300/310] eta: 0:00:01 time: 0.076 data_time: 0.005 memory: 1479 2022/06/30 10:31:32 - mmengine - INFO - Epoch(val) [66][310/310] acc/top1: 0.6644 acc/top5: 0.8663 acc/mean1: 0.6642 2022/06/30 10:31:41 - mmengine - INFO - Epoch(train) [67][20/3757] lr: 1.000e-03 eta: 9:44:19 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 7.9922 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2765 loss: 1.2765 2022/06/30 10:31:47 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 10:31:47 - mmengine - INFO - Epoch(train) [67][40/3757] lr: 1.000e-03 eta: 9:44:14 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.9325 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.7973 loss: 0.7973 2022/06/30 10:31:53 - mmengine - INFO - Epoch(train) [67][60/3757] lr: 1.000e-03 eta: 9:44:08 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 7.2388 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0857 loss: 1.0857 2022/06/30 10:31:59 - mmengine - INFO - Epoch(train) [67][80/3757] lr: 1.000e-03 eta: 9:44:03 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 9.5456 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1867 loss: 1.1867 2022/06/30 10:32:04 - mmengine - INFO - Epoch(train) [67][100/3757] lr: 1.000e-03 eta: 9:43:58 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 7.8210 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1820 loss: 1.1820 2022/06/30 10:32:10 - mmengine - INFO - Epoch(train) [67][120/3757] lr: 1.000e-03 eta: 9:43:52 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 6.7616 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2270 loss: 1.2270 2022/06/30 10:32:15 - mmengine - INFO - Epoch(train) [67][140/3757] lr: 1.000e-03 eta: 9:43:47 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 8.1378 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0487 loss: 1.0487 2022/06/30 10:32:20 - mmengine - INFO - Epoch(train) [67][160/3757] lr: 1.000e-03 eta: 9:43:41 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 6.9855 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1381 loss: 1.1381 2022/06/30 10:32:25 - mmengine - INFO - Epoch(train) [67][180/3757] lr: 1.000e-03 eta: 9:43:35 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 7.1984 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2268 loss: 1.2268 2022/06/30 10:32:31 - mmengine - INFO - Epoch(train) [67][200/3757] lr: 1.000e-03 eta: 9:43:30 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.2389 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9941 loss: 0.9941 2022/06/30 10:32:37 - mmengine - INFO - Epoch(train) [67][220/3757] lr: 1.000e-03 eta: 9:43:25 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 7.2379 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9983 loss: 0.9983 2022/06/30 10:32:42 - mmengine - INFO - Epoch(train) [67][240/3757] lr: 1.000e-03 eta: 9:43:19 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 9.1109 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8800 loss: 0.8800 2022/06/30 10:32:50 - mmengine - INFO - Epoch(train) [67][260/3757] lr: 1.000e-03 eta: 9:43:15 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 7.4315 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5826 loss: 1.5826 2022/06/30 10:32:55 - mmengine - INFO - Epoch(train) [67][280/3757] lr: 1.000e-03 eta: 9:43:09 time: 0.299 data_time: 0.008 memory: 6404 grad_norm: 7.6797 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3177 loss: 1.3177 2022/06/30 10:33:00 - mmengine - INFO - Epoch(train) [67][300/3757] lr: 1.000e-03 eta: 9:43:03 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 8.6099 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9041 loss: 0.9041 2022/06/30 10:33:06 - mmengine - INFO - Epoch(train) [67][320/3757] lr: 1.000e-03 eta: 9:42:58 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 8.0450 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3078 loss: 1.3078 2022/06/30 10:33:14 - mmengine - INFO - Epoch(train) [67][340/3757] lr: 1.000e-03 eta: 9:42:54 time: 0.288 data_time: 0.009 memory: 6404 grad_norm: 7.5606 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0290 loss: 1.0290 2022/06/30 10:33:20 - mmengine - INFO - Epoch(train) [67][360/3757] lr: 1.000e-03 eta: 9:42:48 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 8.0670 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4974 loss: 1.4974 2022/06/30 10:33:25 - mmengine - INFO - Epoch(train) [67][380/3757] lr: 1.000e-03 eta: 9:42:43 time: 0.261 data_time: 0.024 memory: 6404 grad_norm: 6.0461 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3967 loss: 1.3967 2022/06/30 10:33:30 - mmengine - INFO - Epoch(train) [67][400/3757] lr: 1.000e-03 eta: 9:42:37 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.3859 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1919 loss: 1.1919 2022/06/30 10:33:36 - mmengine - INFO - Epoch(train) [67][420/3757] lr: 1.000e-03 eta: 9:42:32 time: 0.261 data_time: 0.015 memory: 6404 grad_norm: 7.9463 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1992 loss: 1.1992 2022/06/30 10:33:41 - mmengine - INFO - Epoch(train) [67][440/3757] lr: 1.000e-03 eta: 9:42:26 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 5.8888 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0093 loss: 1.0093 2022/06/30 10:33:46 - mmengine - INFO - Epoch(train) [67][460/3757] lr: 1.000e-03 eta: 9:42:20 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 7.6476 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5160 loss: 1.5160 2022/06/30 10:33:52 - mmengine - INFO - Epoch(train) [67][480/3757] lr: 1.000e-03 eta: 9:42:15 time: 0.247 data_time: 0.018 memory: 6404 grad_norm: 8.3669 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2579 loss: 1.2579 2022/06/30 10:33:57 - mmengine - INFO - Epoch(train) [67][500/3757] lr: 1.000e-03 eta: 9:42:09 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 8.3671 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3328 loss: 1.3328 2022/06/30 10:34:02 - mmengine - INFO - Epoch(train) [67][520/3757] lr: 1.000e-03 eta: 9:42:04 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 8.6522 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2089 loss: 1.2089 2022/06/30 10:34:08 - mmengine - INFO - Epoch(train) [67][540/3757] lr: 1.000e-03 eta: 9:41:58 time: 0.260 data_time: 0.017 memory: 6404 grad_norm: 7.6981 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1410 loss: 1.1410 2022/06/30 10:34:14 - mmengine - INFO - Epoch(train) [67][560/3757] lr: 1.000e-03 eta: 9:41:53 time: 0.260 data_time: 0.009 memory: 6404 grad_norm: 7.7935 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9327 loss: 0.9327 2022/06/30 10:34:19 - mmengine - INFO - Epoch(train) [67][580/3757] lr: 1.000e-03 eta: 9:41:48 time: 0.252 data_time: 0.015 memory: 6404 grad_norm: 7.2376 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3056 loss: 1.3056 2022/06/30 10:34:25 - mmengine - INFO - Epoch(train) [67][600/3757] lr: 1.000e-03 eta: 9:41:42 time: 0.248 data_time: 0.020 memory: 6404 grad_norm: 7.7349 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1695 loss: 1.1695 2022/06/30 10:34:30 - mmengine - INFO - Epoch(train) [67][620/3757] lr: 1.000e-03 eta: 9:41:36 time: 0.263 data_time: 0.014 memory: 6404 grad_norm: 8.1781 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2811 loss: 1.2811 2022/06/30 10:34:36 - mmengine - INFO - Epoch(train) [67][640/3757] lr: 1.000e-03 eta: 9:41:31 time: 0.261 data_time: 0.009 memory: 6404 grad_norm: 6.7818 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2225 loss: 1.2225 2022/06/30 10:34:41 - mmengine - INFO - Epoch(train) [67][660/3757] lr: 1.000e-03 eta: 9:41:25 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 8.4069 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1881 loss: 1.1881 2022/06/30 10:34:47 - mmengine - INFO - Epoch(train) [67][680/3757] lr: 1.000e-03 eta: 9:41:20 time: 0.258 data_time: 0.013 memory: 6404 grad_norm: 7.6887 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4970 loss: 1.4970 2022/06/30 10:34:52 - mmengine - INFO - Epoch(train) [67][700/3757] lr: 1.000e-03 eta: 9:41:14 time: 0.254 data_time: 0.015 memory: 6404 grad_norm: 7.9547 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0574 loss: 1.0574 2022/06/30 10:34:57 - mmengine - INFO - Epoch(train) [67][720/3757] lr: 1.000e-03 eta: 9:41:09 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 8.0020 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4860 loss: 1.4860 2022/06/30 10:35:03 - mmengine - INFO - Epoch(train) [67][740/3757] lr: 1.000e-03 eta: 9:41:04 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 8.7457 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5115 loss: 1.5115 2022/06/30 10:35:09 - mmengine - INFO - Epoch(train) [67][760/3757] lr: 1.000e-03 eta: 9:40:58 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 8.1956 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4723 loss: 1.4723 2022/06/30 10:35:15 - mmengine - INFO - Epoch(train) [67][780/3757] lr: 1.000e-03 eta: 9:40:53 time: 0.268 data_time: 0.014 memory: 6404 grad_norm: 7.7055 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1397 loss: 1.1397 2022/06/30 10:35:20 - mmengine - INFO - Epoch(train) [67][800/3757] lr: 1.000e-03 eta: 9:40:47 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 8.9511 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1901 loss: 1.1901 2022/06/30 10:35:26 - mmengine - INFO - Epoch(train) [67][820/3757] lr: 1.000e-03 eta: 9:40:42 time: 0.262 data_time: 0.013 memory: 6404 grad_norm: 6.7964 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9270 loss: 0.9270 2022/06/30 10:35:31 - mmengine - INFO - Epoch(train) [67][840/3757] lr: 1.000e-03 eta: 9:40:36 time: 0.238 data_time: 0.012 memory: 6404 grad_norm: 7.6093 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8038 loss: 0.8038 2022/06/30 10:35:36 - mmengine - INFO - Epoch(train) [67][860/3757] lr: 1.000e-03 eta: 9:40:30 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 8.1264 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2697 loss: 1.2697 2022/06/30 10:35:42 - mmengine - INFO - Epoch(train) [67][880/3757] lr: 1.000e-03 eta: 9:40:25 time: 0.387 data_time: 0.015 memory: 6404 grad_norm: 8.1666 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7952 loss: 0.7952 2022/06/30 10:35:48 - mmengine - INFO - Epoch(train) [67][900/3757] lr: 1.000e-03 eta: 9:40:20 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 8.6330 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0629 loss: 1.0629 2022/06/30 10:35:53 - mmengine - INFO - Epoch(train) [67][920/3757] lr: 1.000e-03 eta: 9:40:14 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.9073 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4428 loss: 1.4428 2022/06/30 10:35:59 - mmengine - INFO - Epoch(train) [67][940/3757] lr: 1.000e-03 eta: 9:40:09 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 7.3322 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4565 loss: 1.4565 2022/06/30 10:36:04 - mmengine - INFO - Epoch(train) [67][960/3757] lr: 1.000e-03 eta: 9:40:03 time: 0.287 data_time: 0.066 memory: 6404 grad_norm: 8.1708 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2696 loss: 1.2696 2022/06/30 10:36:10 - mmengine - INFO - Epoch(train) [67][980/3757] lr: 1.000e-03 eta: 9:39:58 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 7.1531 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0574 loss: 1.0574 2022/06/30 10:36:15 - mmengine - INFO - Epoch(train) [67][1000/3757] lr: 1.000e-03 eta: 9:39:52 time: 0.258 data_time: 0.023 memory: 6404 grad_norm: 7.0877 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5161 loss: 1.5161 2022/06/30 10:36:21 - mmengine - INFO - Epoch(train) [67][1020/3757] lr: 1.000e-03 eta: 9:39:47 time: 0.678 data_time: 0.016 memory: 6404 grad_norm: 7.8041 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4077 loss: 1.4077 2022/06/30 10:36:25 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 10:36:26 - mmengine - INFO - Epoch(train) [67][1040/3757] lr: 1.000e-03 eta: 9:39:41 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 8.6121 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2938 loss: 1.2938 2022/06/30 10:36:31 - mmengine - INFO - Epoch(train) [67][1060/3757] lr: 1.000e-03 eta: 9:39:36 time: 0.255 data_time: 0.016 memory: 6404 grad_norm: 7.7975 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4223 loss: 1.4223 2022/06/30 10:36:37 - mmengine - INFO - Epoch(train) [67][1080/3757] lr: 1.000e-03 eta: 9:39:30 time: 0.807 data_time: 0.074 memory: 6404 grad_norm: 5.7406 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3217 loss: 1.3217 2022/06/30 10:36:43 - mmengine - INFO - Epoch(train) [67][1100/3757] lr: 1.000e-03 eta: 9:39:25 time: 0.269 data_time: 0.025 memory: 6404 grad_norm: 6.4762 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3345 loss: 1.3345 2022/06/30 10:36:48 - mmengine - INFO - Epoch(train) [67][1120/3757] lr: 1.000e-03 eta: 9:39:19 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 7.1352 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7930 loss: 0.7930 2022/06/30 10:36:54 - mmengine - INFO - Epoch(train) [67][1140/3757] lr: 1.000e-03 eta: 9:39:14 time: 0.270 data_time: 0.014 memory: 6404 grad_norm: 8.0715 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2606 loss: 1.2606 2022/06/30 10:36:59 - mmengine - INFO - Epoch(train) [67][1160/3757] lr: 1.000e-03 eta: 9:39:08 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 6.6179 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3062 loss: 1.3062 2022/06/30 10:37:04 - mmengine - INFO - Epoch(train) [67][1180/3757] lr: 1.000e-03 eta: 9:39:03 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 7.0726 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1246 loss: 1.1246 2022/06/30 10:37:10 - mmengine - INFO - Epoch(train) [67][1200/3757] lr: 1.000e-03 eta: 9:38:57 time: 0.261 data_time: 0.014 memory: 6404 grad_norm: 7.1972 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2760 loss: 1.2760 2022/06/30 10:37:15 - mmengine - INFO - Epoch(train) [67][1220/3757] lr: 1.000e-03 eta: 9:38:52 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 8.7230 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4495 loss: 1.4495 2022/06/30 10:37:21 - mmengine - INFO - Epoch(train) [67][1240/3757] lr: 1.000e-03 eta: 9:38:46 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 6.9671 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3155 loss: 1.3155 2022/06/30 10:37:27 - mmengine - INFO - Epoch(train) [67][1260/3757] lr: 1.000e-03 eta: 9:38:41 time: 0.467 data_time: 0.022 memory: 6404 grad_norm: 7.0831 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8299 loss: 0.8299 2022/06/30 10:37:32 - mmengine - INFO - Epoch(train) [67][1280/3757] lr: 1.000e-03 eta: 9:38:35 time: 0.263 data_time: 0.011 memory: 6404 grad_norm: 7.9991 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9211 loss: 0.9211 2022/06/30 10:37:37 - mmengine - INFO - Epoch(train) [67][1300/3757] lr: 1.000e-03 eta: 9:38:30 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 9.2482 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0684 loss: 1.0684 2022/06/30 10:37:43 - mmengine - INFO - Epoch(train) [67][1320/3757] lr: 1.000e-03 eta: 9:38:24 time: 0.613 data_time: 0.013 memory: 6404 grad_norm: 7.7350 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4281 loss: 1.4281 2022/06/30 10:37:48 - mmengine - INFO - Epoch(train) [67][1340/3757] lr: 1.000e-03 eta: 9:38:19 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 8.4549 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4539 loss: 1.4539 2022/06/30 10:37:55 - mmengine - INFO - Epoch(train) [67][1360/3757] lr: 1.000e-03 eta: 9:38:14 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 9.0980 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4021 loss: 1.4021 2022/06/30 10:38:00 - mmengine - INFO - Epoch(train) [67][1380/3757] lr: 1.000e-03 eta: 9:38:08 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 9.2186 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 0.9388 loss: 0.9388 2022/06/30 10:38:05 - mmengine - INFO - Epoch(train) [67][1400/3757] lr: 1.000e-03 eta: 9:38:02 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 8.3921 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9554 loss: 0.9554 2022/06/30 10:38:10 - mmengine - INFO - Epoch(train) [67][1420/3757] lr: 1.000e-03 eta: 9:37:57 time: 0.244 data_time: 0.019 memory: 6404 grad_norm: 7.3274 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4838 loss: 1.4838 2022/06/30 10:38:16 - mmengine - INFO - Epoch(train) [67][1440/3757] lr: 1.000e-03 eta: 9:37:51 time: 0.268 data_time: 0.015 memory: 6404 grad_norm: 7.8756 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4187 loss: 1.4187 2022/06/30 10:38:21 - mmengine - INFO - Epoch(train) [67][1460/3757] lr: 1.000e-03 eta: 9:37:46 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 6.9834 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8282 loss: 0.8282 2022/06/30 10:38:26 - mmengine - INFO - Epoch(train) [67][1480/3757] lr: 1.000e-03 eta: 9:37:40 time: 0.260 data_time: 0.017 memory: 6404 grad_norm: 7.3322 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2504 loss: 1.2504 2022/06/30 10:38:31 - mmengine - INFO - Epoch(train) [67][1500/3757] lr: 1.000e-03 eta: 9:37:34 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 9.3007 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0138 loss: 1.0138 2022/06/30 10:38:37 - mmengine - INFO - Epoch(train) [67][1520/3757] lr: 1.000e-03 eta: 9:37:29 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 8.0156 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4392 loss: 1.4392 2022/06/30 10:38:44 - mmengine - INFO - Epoch(train) [67][1540/3757] lr: 1.000e-03 eta: 9:37:24 time: 0.264 data_time: 0.012 memory: 6404 grad_norm: 7.9943 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9243 loss: 0.9243 2022/06/30 10:38:49 - mmengine - INFO - Epoch(train) [67][1560/3757] lr: 1.000e-03 eta: 9:37:19 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 8.3544 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0230 loss: 1.0230 2022/06/30 10:38:55 - mmengine - INFO - Epoch(train) [67][1580/3757] lr: 1.000e-03 eta: 9:37:13 time: 0.272 data_time: 0.019 memory: 6404 grad_norm: 7.7286 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1499 loss: 1.1499 2022/06/30 10:39:00 - mmengine - INFO - Epoch(train) [67][1600/3757] lr: 1.000e-03 eta: 9:37:07 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 6.3395 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1502 loss: 1.1502 2022/06/30 10:39:05 - mmengine - INFO - Epoch(train) [67][1620/3757] lr: 1.000e-03 eta: 9:37:02 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 8.5873 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9384 loss: 0.9384 2022/06/30 10:39:10 - mmengine - INFO - Epoch(train) [67][1640/3757] lr: 1.000e-03 eta: 9:36:56 time: 0.265 data_time: 0.023 memory: 6404 grad_norm: 9.2835 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3114 loss: 1.3114 2022/06/30 10:39:16 - mmengine - INFO - Epoch(train) [67][1660/3757] lr: 1.000e-03 eta: 9:36:51 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 6.8243 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2143 loss: 1.2143 2022/06/30 10:39:21 - mmengine - INFO - Epoch(train) [67][1680/3757] lr: 1.000e-03 eta: 9:36:45 time: 0.257 data_time: 0.015 memory: 6404 grad_norm: 9.5525 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2866 loss: 1.2866 2022/06/30 10:39:27 - mmengine - INFO - Epoch(train) [67][1700/3757] lr: 1.000e-03 eta: 9:36:40 time: 0.257 data_time: 0.029 memory: 6404 grad_norm: 7.1211 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0510 loss: 1.0510 2022/06/30 10:39:32 - mmengine - INFO - Epoch(train) [67][1720/3757] lr: 1.000e-03 eta: 9:36:34 time: 0.261 data_time: 0.016 memory: 6404 grad_norm: 8.2497 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3340 loss: 1.3340 2022/06/30 10:39:38 - mmengine - INFO - Epoch(train) [67][1740/3757] lr: 1.000e-03 eta: 9:36:29 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 8.7549 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1254 loss: 1.1254 2022/06/30 10:39:44 - mmengine - INFO - Epoch(train) [67][1760/3757] lr: 1.000e-03 eta: 9:36:23 time: 0.255 data_time: 0.017 memory: 6404 grad_norm: 9.1032 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2265 loss: 1.2265 2022/06/30 10:39:49 - mmengine - INFO - Epoch(train) [67][1780/3757] lr: 1.000e-03 eta: 9:36:18 time: 0.247 data_time: 0.021 memory: 6404 grad_norm: 7.2694 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4408 loss: 1.4408 2022/06/30 10:39:55 - mmengine - INFO - Epoch(train) [67][1800/3757] lr: 1.000e-03 eta: 9:36:12 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 9.0056 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2334 loss: 1.2334 2022/06/30 10:40:00 - mmengine - INFO - Epoch(train) [67][1820/3757] lr: 1.000e-03 eta: 9:36:07 time: 0.250 data_time: 0.022 memory: 6404 grad_norm: 8.7316 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5637 loss: 1.5637 2022/06/30 10:40:06 - mmengine - INFO - Epoch(train) [67][1840/3757] lr: 1.000e-03 eta: 9:36:01 time: 0.270 data_time: 0.062 memory: 6404 grad_norm: 6.8980 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1888 loss: 1.1888 2022/06/30 10:40:11 - mmengine - INFO - Epoch(train) [67][1860/3757] lr: 1.000e-03 eta: 9:35:56 time: 0.436 data_time: 0.006 memory: 6404 grad_norm: 7.9004 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.0020 loss: 1.0020 2022/06/30 10:40:17 - mmengine - INFO - Epoch(train) [67][1880/3757] lr: 1.000e-03 eta: 9:35:50 time: 0.269 data_time: 0.015 memory: 6404 grad_norm: 7.9826 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0628 loss: 1.0628 2022/06/30 10:40:22 - mmengine - INFO - Epoch(train) [67][1900/3757] lr: 1.000e-03 eta: 9:35:45 time: 0.250 data_time: 0.014 memory: 6404 grad_norm: 8.5810 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0221 loss: 1.0221 2022/06/30 10:40:28 - mmengine - INFO - Epoch(train) [67][1920/3757] lr: 1.000e-03 eta: 9:35:39 time: 0.269 data_time: 0.015 memory: 6404 grad_norm: 7.6540 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1529 loss: 1.1529 2022/06/30 10:40:34 - mmengine - INFO - Epoch(train) [67][1940/3757] lr: 1.000e-03 eta: 9:35:34 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 9.1336 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8123 loss: 0.8123 2022/06/30 10:40:39 - mmengine - INFO - Epoch(train) [67][1960/3757] lr: 1.000e-03 eta: 9:35:29 time: 0.251 data_time: 0.015 memory: 6404 grad_norm: 8.3708 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3224 loss: 1.3224 2022/06/30 10:40:45 - mmengine - INFO - Epoch(train) [67][1980/3757] lr: 1.000e-03 eta: 9:35:23 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 8.6325 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1511 loss: 1.1511 2022/06/30 10:40:50 - mmengine - INFO - Epoch(train) [67][2000/3757] lr: 1.000e-03 eta: 9:35:17 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 6.6272 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5187 loss: 1.5187 2022/06/30 10:40:55 - mmengine - INFO - Epoch(train) [67][2020/3757] lr: 1.000e-03 eta: 9:35:12 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 9.3054 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4297 loss: 1.4297 2022/06/30 10:41:00 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 10:41:01 - mmengine - INFO - Epoch(train) [67][2040/3757] lr: 1.000e-03 eta: 9:35:06 time: 0.255 data_time: 0.014 memory: 6404 grad_norm: 7.1612 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9000 loss: 0.9000 2022/06/30 10:41:06 - mmengine - INFO - Epoch(train) [67][2060/3757] lr: 1.000e-03 eta: 9:35:01 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.8134 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1616 loss: 1.1616 2022/06/30 10:41:11 - mmengine - INFO - Epoch(train) [67][2080/3757] lr: 1.000e-03 eta: 9:34:55 time: 0.252 data_time: 0.015 memory: 6404 grad_norm: 8.7264 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0189 loss: 1.0189 2022/06/30 10:41:16 - mmengine - INFO - Epoch(train) [67][2100/3757] lr: 1.000e-03 eta: 9:34:49 time: 0.242 data_time: 0.019 memory: 6404 grad_norm: 8.2561 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3125 loss: 1.3125 2022/06/30 10:41:22 - mmengine - INFO - Epoch(train) [67][2120/3757] lr: 1.000e-03 eta: 9:34:44 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 9.1316 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0332 loss: 1.0332 2022/06/30 10:41:27 - mmengine - INFO - Epoch(train) [67][2140/3757] lr: 1.000e-03 eta: 9:34:38 time: 0.255 data_time: 0.015 memory: 6404 grad_norm: 8.3582 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0959 loss: 1.0959 2022/06/30 10:41:33 - mmengine - INFO - Epoch(train) [67][2160/3757] lr: 1.000e-03 eta: 9:34:33 time: 0.358 data_time: 0.015 memory: 6404 grad_norm: 7.5320 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1526 loss: 1.1526 2022/06/30 10:41:39 - mmengine - INFO - Epoch(train) [67][2180/3757] lr: 1.000e-03 eta: 9:34:28 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 7.9171 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3621 loss: 1.3621 2022/06/30 10:41:44 - mmengine - INFO - Epoch(train) [67][2200/3757] lr: 1.000e-03 eta: 9:34:22 time: 0.265 data_time: 0.022 memory: 6404 grad_norm: 7.7039 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1434 loss: 1.1434 2022/06/30 10:41:49 - mmengine - INFO - Epoch(train) [67][2220/3757] lr: 1.000e-03 eta: 9:34:16 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 8.1609 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3761 loss: 1.3761 2022/06/30 10:41:55 - mmengine - INFO - Epoch(train) [67][2240/3757] lr: 1.000e-03 eta: 9:34:11 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 8.3673 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5421 loss: 1.5421 2022/06/30 10:42:00 - mmengine - INFO - Epoch(train) [67][2260/3757] lr: 1.000e-03 eta: 9:34:05 time: 0.249 data_time: 0.015 memory: 6404 grad_norm: 8.5701 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0850 loss: 1.0850 2022/06/30 10:42:06 - mmengine - INFO - Epoch(train) [67][2280/3757] lr: 1.000e-03 eta: 9:34:00 time: 0.252 data_time: 0.027 memory: 6404 grad_norm: 8.4644 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1323 loss: 1.1323 2022/06/30 10:42:11 - mmengine - INFO - Epoch(train) [67][2300/3757] lr: 1.000e-03 eta: 9:33:55 time: 0.264 data_time: 0.014 memory: 6404 grad_norm: 6.7444 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9437 loss: 0.9437 2022/06/30 10:42:17 - mmengine - INFO - Epoch(train) [67][2320/3757] lr: 1.000e-03 eta: 9:33:49 time: 0.241 data_time: 0.010 memory: 6404 grad_norm: 8.8061 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5088 loss: 1.5088 2022/06/30 10:42:23 - mmengine - INFO - Epoch(train) [67][2340/3757] lr: 1.000e-03 eta: 9:33:44 time: 0.266 data_time: 0.013 memory: 6404 grad_norm: 7.6172 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1367 loss: 1.1367 2022/06/30 10:42:28 - mmengine - INFO - Epoch(train) [67][2360/3757] lr: 1.000e-03 eta: 9:33:38 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 8.6247 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2033 loss: 1.2033 2022/06/30 10:42:34 - mmengine - INFO - Epoch(train) [67][2380/3757] lr: 1.000e-03 eta: 9:33:33 time: 0.446 data_time: 0.007 memory: 6404 grad_norm: 9.4113 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0230 loss: 1.0230 2022/06/30 10:42:39 - mmengine - INFO - Epoch(train) [67][2400/3757] lr: 1.000e-03 eta: 9:33:27 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 7.6238 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0219 loss: 1.0219 2022/06/30 10:42:44 - mmengine - INFO - Epoch(train) [67][2420/3757] lr: 1.000e-03 eta: 9:33:21 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 8.5437 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2854 loss: 1.2854 2022/06/30 10:42:50 - mmengine - INFO - Epoch(train) [67][2440/3757] lr: 1.000e-03 eta: 9:33:16 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 9.5304 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1211 loss: 1.1211 2022/06/30 10:42:56 - mmengine - INFO - Epoch(train) [67][2460/3757] lr: 1.000e-03 eta: 9:33:11 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 5.6258 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3203 loss: 1.3203 2022/06/30 10:43:01 - mmengine - INFO - Epoch(train) [67][2480/3757] lr: 1.000e-03 eta: 9:33:05 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 9.2321 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3986 loss: 1.3986 2022/06/30 10:43:07 - mmengine - INFO - Epoch(train) [67][2500/3757] lr: 1.000e-03 eta: 9:33:00 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 7.3766 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8739 loss: 0.8739 2022/06/30 10:43:12 - mmengine - INFO - Epoch(train) [67][2520/3757] lr: 1.000e-03 eta: 9:32:54 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 6.6516 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9724 loss: 0.9724 2022/06/30 10:43:17 - mmengine - INFO - Epoch(train) [67][2540/3757] lr: 1.000e-03 eta: 9:32:48 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 8.3039 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1713 loss: 1.1713 2022/06/30 10:43:22 - mmengine - INFO - Epoch(train) [67][2560/3757] lr: 1.000e-03 eta: 9:32:43 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 8.3550 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1086 loss: 1.1086 2022/06/30 10:43:28 - mmengine - INFO - Epoch(train) [67][2580/3757] lr: 1.000e-03 eta: 9:32:37 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.8400 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5884 loss: 1.5884 2022/06/30 10:43:33 - mmengine - INFO - Epoch(train) [67][2600/3757] lr: 1.000e-03 eta: 9:32:32 time: 0.373 data_time: 0.013 memory: 6404 grad_norm: 8.2814 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1901 loss: 1.1901 2022/06/30 10:43:39 - mmengine - INFO - Epoch(train) [67][2620/3757] lr: 1.000e-03 eta: 9:32:26 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 8.4135 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4012 loss: 1.4012 2022/06/30 10:43:45 - mmengine - INFO - Epoch(train) [67][2640/3757] lr: 1.000e-03 eta: 9:32:21 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 7.1601 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9296 loss: 0.9296 2022/06/30 10:43:50 - mmengine - INFO - Epoch(train) [67][2660/3757] lr: 1.000e-03 eta: 9:32:15 time: 0.288 data_time: 0.014 memory: 6404 grad_norm: 8.3750 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3069 loss: 1.3069 2022/06/30 10:43:56 - mmengine - INFO - Epoch(train) [67][2680/3757] lr: 1.000e-03 eta: 9:32:10 time: 0.283 data_time: 0.011 memory: 6404 grad_norm: 8.6111 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5124 loss: 1.5124 2022/06/30 10:44:01 - mmengine - INFO - Epoch(train) [67][2700/3757] lr: 1.000e-03 eta: 9:32:04 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.7990 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1248 loss: 1.1248 2022/06/30 10:44:07 - mmengine - INFO - Epoch(train) [67][2720/3757] lr: 1.000e-03 eta: 9:31:59 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 8.8665 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5235 loss: 1.5235 2022/06/30 10:44:12 - mmengine - INFO - Epoch(train) [67][2740/3757] lr: 1.000e-03 eta: 9:31:53 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.7164 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0178 loss: 1.0178 2022/06/30 10:44:17 - mmengine - INFO - Epoch(train) [67][2760/3757] lr: 1.000e-03 eta: 9:31:48 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 7.8138 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1516 loss: 1.1516 2022/06/30 10:44:23 - mmengine - INFO - Epoch(train) [67][2780/3757] lr: 1.000e-03 eta: 9:31:42 time: 0.272 data_time: 0.006 memory: 6404 grad_norm: 7.1074 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0138 loss: 1.0138 2022/06/30 10:44:28 - mmengine - INFO - Epoch(train) [67][2800/3757] lr: 1.000e-03 eta: 9:31:37 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 7.4935 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9092 loss: 0.9092 2022/06/30 10:44:35 - mmengine - INFO - Epoch(train) [67][2820/3757] lr: 1.000e-03 eta: 9:31:32 time: 0.250 data_time: 0.015 memory: 6404 grad_norm: 7.6694 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0721 loss: 1.0721 2022/06/30 10:44:40 - mmengine - INFO - Epoch(train) [67][2840/3757] lr: 1.000e-03 eta: 9:31:26 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 8.6491 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9245 loss: 0.9245 2022/06/30 10:44:45 - mmengine - INFO - Epoch(train) [67][2860/3757] lr: 1.000e-03 eta: 9:31:21 time: 0.253 data_time: 0.018 memory: 6404 grad_norm: 6.9692 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0734 loss: 1.0734 2022/06/30 10:44:51 - mmengine - INFO - Epoch(train) [67][2880/3757] lr: 1.000e-03 eta: 9:31:15 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 7.9153 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1676 loss: 1.1676 2022/06/30 10:44:56 - mmengine - INFO - Epoch(train) [67][2900/3757] lr: 1.000e-03 eta: 9:31:09 time: 0.259 data_time: 0.012 memory: 6404 grad_norm: 7.2217 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4426 loss: 1.4426 2022/06/30 10:45:01 - mmengine - INFO - Epoch(train) [67][2920/3757] lr: 1.000e-03 eta: 9:31:04 time: 0.262 data_time: 0.015 memory: 6404 grad_norm: 9.1436 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3871 loss: 1.3871 2022/06/30 10:45:07 - mmengine - INFO - Epoch(train) [67][2940/3757] lr: 1.000e-03 eta: 9:30:58 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 9.0629 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0246 loss: 1.0246 2022/06/30 10:45:12 - mmengine - INFO - Epoch(train) [67][2960/3757] lr: 1.000e-03 eta: 9:30:53 time: 0.255 data_time: 0.020 memory: 6404 grad_norm: 8.7894 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0751 loss: 1.0751 2022/06/30 10:45:17 - mmengine - INFO - Epoch(train) [67][2980/3757] lr: 1.000e-03 eta: 9:30:47 time: 0.469 data_time: 0.014 memory: 6404 grad_norm: 7.4730 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2242 loss: 1.2242 2022/06/30 10:45:23 - mmengine - INFO - Epoch(train) [67][3000/3757] lr: 1.000e-03 eta: 9:30:42 time: 0.248 data_time: 0.029 memory: 6404 grad_norm: 9.9097 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2638 loss: 1.2638 2022/06/30 10:45:28 - mmengine - INFO - Epoch(train) [67][3020/3757] lr: 1.000e-03 eta: 9:30:36 time: 0.251 data_time: 0.025 memory: 6404 grad_norm: 7.7229 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9853 loss: 0.9853 2022/06/30 10:45:33 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 10:45:34 - mmengine - INFO - Epoch(train) [67][3040/3757] lr: 1.000e-03 eta: 9:30:31 time: 0.256 data_time: 0.016 memory: 6404 grad_norm: 7.9716 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1664 loss: 1.1664 2022/06/30 10:45:40 - mmengine - INFO - Epoch(train) [67][3060/3757] lr: 1.000e-03 eta: 9:30:26 time: 0.267 data_time: 0.013 memory: 6404 grad_norm: 8.9495 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1951 loss: 1.1951 2022/06/30 10:45:46 - mmengine - INFO - Epoch(train) [67][3080/3757] lr: 1.000e-03 eta: 9:30:20 time: 0.255 data_time: 0.021 memory: 6404 grad_norm: 6.5166 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2841 loss: 1.2841 2022/06/30 10:45:51 - mmengine - INFO - Epoch(train) [67][3100/3757] lr: 1.000e-03 eta: 9:30:15 time: 0.258 data_time: 0.016 memory: 6404 grad_norm: 6.6721 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1462 loss: 1.1462 2022/06/30 10:45:56 - mmengine - INFO - Epoch(train) [67][3120/3757] lr: 1.000e-03 eta: 9:30:09 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 7.9000 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5622 loss: 1.5622 2022/06/30 10:46:02 - mmengine - INFO - Epoch(train) [67][3140/3757] lr: 1.000e-03 eta: 9:30:03 time: 0.249 data_time: 0.021 memory: 6404 grad_norm: 6.3971 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1786 loss: 1.1786 2022/06/30 10:46:08 - mmengine - INFO - Epoch(train) [67][3160/3757] lr: 1.000e-03 eta: 9:29:58 time: 0.278 data_time: 0.008 memory: 6404 grad_norm: 8.2828 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2095 loss: 1.2095 2022/06/30 10:46:13 - mmengine - INFO - Epoch(train) [67][3180/3757] lr: 1.000e-03 eta: 9:29:53 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 7.5862 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7702 loss: 0.7702 2022/06/30 10:46:18 - mmengine - INFO - Epoch(train) [67][3200/3757] lr: 1.000e-03 eta: 9:29:47 time: 0.262 data_time: 0.018 memory: 6404 grad_norm: 7.9597 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8535 loss: 0.8535 2022/06/30 10:46:25 - mmengine - INFO - Epoch(train) [67][3220/3757] lr: 1.000e-03 eta: 9:29:42 time: 0.284 data_time: 0.009 memory: 6404 grad_norm: 7.0659 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0313 loss: 1.0313 2022/06/30 10:46:31 - mmengine - INFO - Epoch(train) [67][3240/3757] lr: 1.000e-03 eta: 9:29:37 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 5.1731 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8870 loss: 0.8870 2022/06/30 10:46:36 - mmengine - INFO - Epoch(train) [67][3260/3757] lr: 1.000e-03 eta: 9:29:31 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 7.8968 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9722 loss: 0.9722 2022/06/30 10:46:41 - mmengine - INFO - Epoch(train) [67][3280/3757] lr: 1.000e-03 eta: 9:29:25 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 7.8391 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3343 loss: 1.3343 2022/06/30 10:46:47 - mmengine - INFO - Epoch(train) [67][3300/3757] lr: 1.000e-03 eta: 9:29:20 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 9.0924 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4280 loss: 1.4280 2022/06/30 10:46:52 - mmengine - INFO - Epoch(train) [67][3320/3757] lr: 1.000e-03 eta: 9:29:15 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 8.8321 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3438 loss: 1.3438 2022/06/30 10:46:58 - mmengine - INFO - Epoch(train) [67][3340/3757] lr: 1.000e-03 eta: 9:29:09 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.9076 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2213 loss: 1.2213 2022/06/30 10:47:04 - mmengine - INFO - Epoch(train) [67][3360/3757] lr: 1.000e-03 eta: 9:29:04 time: 0.283 data_time: 0.011 memory: 6404 grad_norm: 9.2338 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5213 loss: 1.5213 2022/06/30 10:47:09 - mmengine - INFO - Epoch(train) [67][3380/3757] lr: 1.000e-03 eta: 9:28:58 time: 0.264 data_time: 0.018 memory: 6404 grad_norm: 8.7471 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4126 loss: 1.4126 2022/06/30 10:47:14 - mmengine - INFO - Epoch(train) [67][3400/3757] lr: 1.000e-03 eta: 9:28:52 time: 0.249 data_time: 0.016 memory: 6404 grad_norm: 6.1414 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3242 loss: 1.3242 2022/06/30 10:47:19 - mmengine - INFO - Epoch(train) [67][3420/3757] lr: 1.000e-03 eta: 9:28:47 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 6.7753 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7258 loss: 1.7258 2022/06/30 10:47:24 - mmengine - INFO - Epoch(train) [67][3440/3757] lr: 1.000e-03 eta: 9:28:41 time: 0.266 data_time: 0.021 memory: 6404 grad_norm: 7.3843 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5575 loss: 1.5575 2022/06/30 10:47:30 - mmengine - INFO - Epoch(train) [67][3460/3757] lr: 1.000e-03 eta: 9:28:36 time: 0.499 data_time: 0.035 memory: 6404 grad_norm: 7.7378 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1064 loss: 1.1064 2022/06/30 10:47:36 - mmengine - INFO - Epoch(train) [67][3480/3757] lr: 1.000e-03 eta: 9:28:30 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 7.5475 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1556 loss: 1.1556 2022/06/30 10:47:41 - mmengine - INFO - Epoch(train) [67][3500/3757] lr: 1.000e-03 eta: 9:28:24 time: 0.263 data_time: 0.008 memory: 6404 grad_norm: 7.9133 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4197 loss: 1.4197 2022/06/30 10:47:47 - mmengine - INFO - Epoch(train) [67][3520/3757] lr: 1.000e-03 eta: 9:28:19 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 8.3805 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5389 loss: 1.5389 2022/06/30 10:47:52 - mmengine - INFO - Epoch(train) [67][3540/3757] lr: 1.000e-03 eta: 9:28:14 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.5674 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3842 loss: 1.3842 2022/06/30 10:47:58 - mmengine - INFO - Epoch(train) [67][3560/3757] lr: 1.000e-03 eta: 9:28:08 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 7.7517 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7854 loss: 0.7854 2022/06/30 10:48:03 - mmengine - INFO - Epoch(train) [67][3580/3757] lr: 1.000e-03 eta: 9:28:03 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 9.7959 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8986 loss: 0.8986 2022/06/30 10:48:09 - mmengine - INFO - Epoch(train) [67][3600/3757] lr: 1.000e-03 eta: 9:27:57 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 6.7149 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0556 loss: 1.0556 2022/06/30 10:48:14 - mmengine - INFO - Epoch(train) [67][3620/3757] lr: 1.000e-03 eta: 9:27:52 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 7.0196 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7962 loss: 0.7962 2022/06/30 10:48:20 - mmengine - INFO - Epoch(train) [67][3640/3757] lr: 1.000e-03 eta: 9:27:46 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 8.9979 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1404 loss: 1.1404 2022/06/30 10:48:25 - mmengine - INFO - Epoch(train) [67][3660/3757] lr: 1.000e-03 eta: 9:27:41 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 7.9300 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9976 loss: 0.9976 2022/06/30 10:48:31 - mmengine - INFO - Epoch(train) [67][3680/3757] lr: 1.000e-03 eta: 9:27:35 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 7.3604 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4493 loss: 1.4493 2022/06/30 10:48:37 - mmengine - INFO - Epoch(train) [67][3700/3757] lr: 1.000e-03 eta: 9:27:30 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 7.4741 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1547 loss: 1.1547 2022/06/30 10:48:42 - mmengine - INFO - Epoch(train) [67][3720/3757] lr: 1.000e-03 eta: 9:27:24 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 5.6875 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8792 loss: 0.8792 2022/06/30 10:48:47 - mmengine - INFO - Epoch(train) [67][3740/3757] lr: 1.000e-03 eta: 9:27:19 time: 0.261 data_time: 0.006 memory: 6404 grad_norm: 5.7222 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8072 loss: 0.8072 2022/06/30 10:48:51 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 10:48:58 - mmengine - INFO - Epoch(val) [67][20/310] eta: 0:01:18 time: 0.089 data_time: 0.010 memory: 6404 2022/06/30 10:49:04 - mmengine - INFO - Epoch(val) [67][40/310] eta: 0:01:22 time: 0.095 data_time: 0.016 memory: 1479 2022/06/30 10:49:08 - mmengine - INFO - Epoch(val) [67][60/310] eta: 0:00:22 time: 0.093 data_time: 0.006 memory: 1479 2022/06/30 10:49:15 - mmengine - INFO - Epoch(val) [67][80/310] eta: 0:01:14 time: 0.321 data_time: 0.245 memory: 1479 2022/06/30 10:49:20 - mmengine - INFO - Epoch(val) [67][100/310] eta: 0:00:57 time: 1.303 data_time: 1.230 memory: 1479 2022/06/30 10:49:25 - mmengine - INFO - Epoch(val) [67][120/310] eta: 0:00:49 time: 0.087 data_time: 0.007 memory: 1479 2022/06/30 10:49:30 - mmengine - INFO - Epoch(val) [67][140/310] eta: 0:00:50 time: 0.477 data_time: 0.397 memory: 1479 2022/06/30 10:49:37 - mmengine - INFO - Epoch(val) [67][160/310] eta: 0:00:47 time: 0.790 data_time: 0.716 memory: 1479 2022/06/30 10:49:40 - mmengine - INFO - Epoch(val) [67][180/310] eta: 0:00:20 time: 0.086 data_time: 0.010 memory: 1479 2022/06/30 10:49:45 - mmengine - INFO - Epoch(val) [67][200/310] eta: 0:00:28 time: 0.418 data_time: 0.345 memory: 1479 2022/06/30 10:49:51 - mmengine - INFO - Epoch(val) [67][220/310] eta: 0:00:29 time: 0.095 data_time: 0.006 memory: 1479 2022/06/30 10:49:56 - mmengine - INFO - Epoch(val) [67][240/310] eta: 0:00:21 time: 0.084 data_time: 0.007 memory: 1479 2022/06/30 10:50:01 - mmengine - INFO - Epoch(val) [67][260/310] eta: 0:00:14 time: 0.092 data_time: 0.008 memory: 1479 2022/06/30 10:50:07 - mmengine - INFO - Epoch(val) [67][280/310] eta: 0:00:08 time: 0.081 data_time: 0.005 memory: 1479 2022/06/30 10:50:12 - mmengine - INFO - Epoch(val) [67][300/310] eta: 0:00:02 time: 0.084 data_time: 0.007 memory: 1479 2022/06/30 10:50:16 - mmengine - INFO - Epoch(val) [67][310/310] acc/top1: 0.6645 acc/top5: 0.8665 acc/mean1: 0.6644 2022/06/30 10:50:24 - mmengine - INFO - Epoch(train) [68][20/3757] lr: 1.000e-03 eta: 9:27:09 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.1543 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0054 loss: 1.0054 2022/06/30 10:50:30 - mmengine - INFO - Epoch(train) [68][40/3757] lr: 1.000e-03 eta: 9:27:04 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 8.0524 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1161 loss: 1.1161 2022/06/30 10:50:36 - mmengine - INFO - Epoch(train) [68][60/3757] lr: 1.000e-03 eta: 9:26:58 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 10.3559 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0156 loss: 1.0156 2022/06/30 10:50:42 - mmengine - INFO - Epoch(train) [68][80/3757] lr: 1.000e-03 eta: 9:26:53 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 9.1502 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8818 loss: 0.8818 2022/06/30 10:50:47 - mmengine - INFO - Epoch(train) [68][100/3757] lr: 1.000e-03 eta: 9:26:48 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.9507 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0546 loss: 1.0546 2022/06/30 10:50:53 - mmengine - INFO - Epoch(train) [68][120/3757] lr: 1.000e-03 eta: 9:26:42 time: 0.266 data_time: 0.009 memory: 6404 grad_norm: 7.4311 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4501 loss: 1.4501 2022/06/30 10:50:58 - mmengine - INFO - Epoch(train) [68][140/3757] lr: 1.000e-03 eta: 9:26:36 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 8.1199 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7169 loss: 1.7169 2022/06/30 10:51:03 - mmengine - INFO - Epoch(train) [68][160/3757] lr: 1.000e-03 eta: 9:26:31 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 9.0289 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3825 loss: 1.3825 2022/06/30 10:51:09 - mmengine - INFO - Epoch(train) [68][180/3757] lr: 1.000e-03 eta: 9:26:25 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 9.0309 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8039 loss: 0.8039 2022/06/30 10:51:15 - mmengine - INFO - Epoch(train) [68][200/3757] lr: 1.000e-03 eta: 9:26:20 time: 0.271 data_time: 0.008 memory: 6404 grad_norm: 8.6794 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4255 loss: 1.4255 2022/06/30 10:51:20 - mmengine - INFO - Epoch(train) [68][220/3757] lr: 1.000e-03 eta: 9:26:15 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.0594 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9183 loss: 0.9183 2022/06/30 10:51:26 - mmengine - INFO - Epoch(train) [68][240/3757] lr: 1.000e-03 eta: 9:26:09 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 7.4989 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2867 loss: 1.2867 2022/06/30 10:51:31 - mmengine - INFO - Epoch(train) [68][260/3757] lr: 1.000e-03 eta: 9:26:04 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 6.3144 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2912 loss: 1.2912 2022/06/30 10:51:36 - mmengine - INFO - Epoch(train) [68][280/3757] lr: 1.000e-03 eta: 9:25:58 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 8.9771 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3192 loss: 1.3192 2022/06/30 10:51:37 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 10:51:41 - mmengine - INFO - Epoch(train) [68][300/3757] lr: 1.000e-03 eta: 9:25:52 time: 0.257 data_time: 0.027 memory: 6404 grad_norm: 8.7380 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3403 loss: 1.3403 2022/06/30 10:51:47 - mmengine - INFO - Epoch(train) [68][320/3757] lr: 1.000e-03 eta: 9:25:47 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 8.0551 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1908 loss: 1.1908 2022/06/30 10:51:53 - mmengine - INFO - Epoch(train) [68][340/3757] lr: 1.000e-03 eta: 9:25:41 time: 0.358 data_time: 0.016 memory: 6404 grad_norm: 9.3145 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3590 loss: 1.3590 2022/06/30 10:51:58 - mmengine - INFO - Epoch(train) [68][360/3757] lr: 1.000e-03 eta: 9:25:36 time: 0.243 data_time: 0.033 memory: 6404 grad_norm: 8.0504 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1251 loss: 1.1251 2022/06/30 10:52:04 - mmengine - INFO - Epoch(train) [68][380/3757] lr: 1.000e-03 eta: 9:25:30 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.8701 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0717 loss: 1.0717 2022/06/30 10:52:09 - mmengine - INFO - Epoch(train) [68][400/3757] lr: 1.000e-03 eta: 9:25:25 time: 0.483 data_time: 0.013 memory: 6404 grad_norm: 8.5628 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1886 loss: 1.1886 2022/06/30 10:52:15 - mmengine - INFO - Epoch(train) [68][420/3757] lr: 1.000e-03 eta: 9:25:19 time: 0.253 data_time: 0.050 memory: 6404 grad_norm: 8.1433 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1656 loss: 1.1656 2022/06/30 10:52:20 - mmengine - INFO - Epoch(train) [68][440/3757] lr: 1.000e-03 eta: 9:25:14 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 8.3099 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1151 loss: 1.1151 2022/06/30 10:52:26 - mmengine - INFO - Epoch(train) [68][460/3757] lr: 1.000e-03 eta: 9:25:08 time: 0.269 data_time: 0.006 memory: 6404 grad_norm: 8.1115 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2440 loss: 1.2440 2022/06/30 10:52:31 - mmengine - INFO - Epoch(train) [68][480/3757] lr: 1.000e-03 eta: 9:25:03 time: 0.250 data_time: 0.016 memory: 6404 grad_norm: 8.2179 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1685 loss: 1.1685 2022/06/30 10:52:37 - mmengine - INFO - Epoch(train) [68][500/3757] lr: 1.000e-03 eta: 9:24:57 time: 0.264 data_time: 0.011 memory: 6404 grad_norm: 8.5110 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3226 loss: 1.3226 2022/06/30 10:52:42 - mmengine - INFO - Epoch(train) [68][520/3757] lr: 1.000e-03 eta: 9:24:52 time: 0.277 data_time: 0.007 memory: 6404 grad_norm: 9.5466 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3414 loss: 1.3414 2022/06/30 10:52:47 - mmengine - INFO - Epoch(train) [68][540/3757] lr: 1.000e-03 eta: 9:24:46 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 8.5178 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7399 loss: 1.7399 2022/06/30 10:52:53 - mmengine - INFO - Epoch(train) [68][560/3757] lr: 1.000e-03 eta: 9:24:41 time: 0.256 data_time: 0.015 memory: 6404 grad_norm: 8.6529 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4539 loss: 1.4539 2022/06/30 10:52:58 - mmengine - INFO - Epoch(train) [68][580/3757] lr: 1.000e-03 eta: 9:24:35 time: 0.279 data_time: 0.007 memory: 6404 grad_norm: 6.7259 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9109 loss: 0.9109 2022/06/30 10:53:05 - mmengine - INFO - Epoch(train) [68][600/3757] lr: 1.000e-03 eta: 9:24:30 time: 0.595 data_time: 0.007 memory: 6404 grad_norm: 9.7849 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0598 loss: 1.0598 2022/06/30 10:53:10 - mmengine - INFO - Epoch(train) [68][620/3757] lr: 1.000e-03 eta: 9:24:25 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 7.7769 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1206 loss: 1.1206 2022/06/30 10:53:15 - mmengine - INFO - Epoch(train) [68][640/3757] lr: 1.000e-03 eta: 9:24:19 time: 0.258 data_time: 0.016 memory: 6404 grad_norm: 6.5370 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9513 loss: 0.9513 2022/06/30 10:53:20 - mmengine - INFO - Epoch(train) [68][660/3757] lr: 1.000e-03 eta: 9:24:13 time: 0.260 data_time: 0.015 memory: 6404 grad_norm: 8.2811 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0411 loss: 1.0411 2022/06/30 10:53:26 - mmengine - INFO - Epoch(train) [68][680/3757] lr: 1.000e-03 eta: 9:24:08 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 7.4403 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0963 loss: 1.0963 2022/06/30 10:53:31 - mmengine - INFO - Epoch(train) [68][700/3757] lr: 1.000e-03 eta: 9:24:02 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 8.7503 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3170 loss: 1.3170 2022/06/30 10:53:37 - mmengine - INFO - Epoch(train) [68][720/3757] lr: 1.000e-03 eta: 9:23:57 time: 0.249 data_time: 0.052 memory: 6404 grad_norm: 6.9280 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3363 loss: 1.3363 2022/06/30 10:53:43 - mmengine - INFO - Epoch(train) [68][740/3757] lr: 1.000e-03 eta: 9:23:52 time: 0.249 data_time: 0.027 memory: 6404 grad_norm: 8.0636 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3206 loss: 1.3206 2022/06/30 10:53:48 - mmengine - INFO - Epoch(train) [68][760/3757] lr: 1.000e-03 eta: 9:23:46 time: 0.277 data_time: 0.010 memory: 6404 grad_norm: 7.8147 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1849 loss: 1.1849 2022/06/30 10:53:54 - mmengine - INFO - Epoch(train) [68][780/3757] lr: 1.000e-03 eta: 9:23:41 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 10.3196 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2318 loss: 1.2318 2022/06/30 10:53:59 - mmengine - INFO - Epoch(train) [68][800/3757] lr: 1.000e-03 eta: 9:23:35 time: 0.258 data_time: 0.038 memory: 6404 grad_norm: 8.0637 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9745 loss: 0.9745 2022/06/30 10:54:04 - mmengine - INFO - Epoch(train) [68][820/3757] lr: 1.000e-03 eta: 9:23:29 time: 0.357 data_time: 0.012 memory: 6404 grad_norm: 9.7120 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3418 loss: 1.3418 2022/06/30 10:54:10 - mmengine - INFO - Epoch(train) [68][840/3757] lr: 1.000e-03 eta: 9:23:24 time: 0.243 data_time: 0.012 memory: 6404 grad_norm: 6.6442 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9248 loss: 0.9248 2022/06/30 10:54:16 - mmengine - INFO - Epoch(train) [68][860/3757] lr: 1.000e-03 eta: 9:23:19 time: 0.286 data_time: 0.079 memory: 6404 grad_norm: 8.1108 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0770 loss: 1.0770 2022/06/30 10:54:21 - mmengine - INFO - Epoch(train) [68][880/3757] lr: 1.000e-03 eta: 9:23:13 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 7.9041 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3854 loss: 1.3854 2022/06/30 10:54:26 - mmengine - INFO - Epoch(train) [68][900/3757] lr: 1.000e-03 eta: 9:23:07 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 7.6478 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9612 loss: 0.9612 2022/06/30 10:54:33 - mmengine - INFO - Epoch(train) [68][920/3757] lr: 1.000e-03 eta: 9:23:02 time: 0.268 data_time: 0.070 memory: 6404 grad_norm: 7.4431 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2390 loss: 1.2390 2022/06/30 10:54:38 - mmengine - INFO - Epoch(train) [68][940/3757] lr: 1.000e-03 eta: 9:22:57 time: 0.263 data_time: 0.009 memory: 6404 grad_norm: 9.1928 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0090 loss: 1.0090 2022/06/30 10:54:43 - mmengine - INFO - Epoch(train) [68][960/3757] lr: 1.000e-03 eta: 9:22:51 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 9.8983 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4690 loss: 1.4690 2022/06/30 10:54:49 - mmengine - INFO - Epoch(train) [68][980/3757] lr: 1.000e-03 eta: 9:22:46 time: 0.254 data_time: 0.064 memory: 6404 grad_norm: 6.8377 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4172 loss: 1.4172 2022/06/30 10:54:54 - mmengine - INFO - Epoch(train) [68][1000/3757] lr: 1.000e-03 eta: 9:22:40 time: 0.333 data_time: 0.019 memory: 6404 grad_norm: 7.5262 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0741 loss: 1.0741 2022/06/30 10:55:00 - mmengine - INFO - Epoch(train) [68][1020/3757] lr: 1.000e-03 eta: 9:22:34 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.0419 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1711 loss: 1.1711 2022/06/30 10:55:05 - mmengine - INFO - Epoch(train) [68][1040/3757] lr: 1.000e-03 eta: 9:22:29 time: 0.273 data_time: 0.085 memory: 6404 grad_norm: 8.2324 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7729 loss: 0.7729 2022/06/30 10:55:11 - mmengine - INFO - Epoch(train) [68][1060/3757] lr: 1.000e-03 eta: 9:22:24 time: 0.244 data_time: 0.013 memory: 6404 grad_norm: 7.3925 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7640 loss: 0.7640 2022/06/30 10:55:17 - mmengine - INFO - Epoch(train) [68][1080/3757] lr: 1.000e-03 eta: 9:22:18 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 6.8467 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1184 loss: 1.1184 2022/06/30 10:55:22 - mmengine - INFO - Epoch(train) [68][1100/3757] lr: 1.000e-03 eta: 9:22:13 time: 0.255 data_time: 0.015 memory: 6404 grad_norm: 8.2113 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9721 loss: 0.9721 2022/06/30 10:55:27 - mmengine - INFO - Epoch(train) [68][1120/3757] lr: 1.000e-03 eta: 9:22:07 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.6424 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4006 loss: 1.4006 2022/06/30 10:55:32 - mmengine - INFO - Epoch(train) [68][1140/3757] lr: 1.000e-03 eta: 9:22:01 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.9867 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4327 loss: 1.4327 2022/06/30 10:55:37 - mmengine - INFO - Epoch(train) [68][1160/3757] lr: 1.000e-03 eta: 9:21:56 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.7748 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8933 loss: 0.8933 2022/06/30 10:55:43 - mmengine - INFO - Epoch(train) [68][1180/3757] lr: 1.000e-03 eta: 9:21:50 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 9.0357 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2058 loss: 1.2058 2022/06/30 10:55:48 - mmengine - INFO - Epoch(train) [68][1200/3757] lr: 1.000e-03 eta: 9:21:44 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 7.6862 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1697 loss: 1.1697 2022/06/30 10:55:53 - mmengine - INFO - Epoch(train) [68][1220/3757] lr: 1.000e-03 eta: 9:21:39 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 9.3501 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2147 loss: 1.2147 2022/06/30 10:55:59 - mmengine - INFO - Epoch(train) [68][1240/3757] lr: 1.000e-03 eta: 9:21:33 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 7.4930 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9362 loss: 0.9362 2022/06/30 10:56:05 - mmengine - INFO - Epoch(train) [68][1260/3757] lr: 1.000e-03 eta: 9:21:28 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 8.3514 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1386 loss: 1.1386 2022/06/30 10:56:10 - mmengine - INFO - Epoch(train) [68][1280/3757] lr: 1.000e-03 eta: 9:21:23 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 8.9179 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2371 loss: 1.2371 2022/06/30 10:56:11 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 10:56:16 - mmengine - INFO - Epoch(train) [68][1300/3757] lr: 1.000e-03 eta: 9:21:17 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 8.4672 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1762 loss: 1.1762 2022/06/30 10:56:21 - mmengine - INFO - Epoch(train) [68][1320/3757] lr: 1.000e-03 eta: 9:21:12 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 6.4312 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0473 loss: 1.0473 2022/06/30 10:56:27 - mmengine - INFO - Epoch(train) [68][1340/3757] lr: 1.000e-03 eta: 9:21:06 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 9.7156 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7803 loss: 1.7803 2022/06/30 10:56:33 - mmengine - INFO - Epoch(train) [68][1360/3757] lr: 1.000e-03 eta: 9:21:01 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.4962 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8198 loss: 0.8198 2022/06/30 10:56:38 - mmengine - INFO - Epoch(train) [68][1380/3757] lr: 1.000e-03 eta: 9:20:55 time: 0.259 data_time: 0.006 memory: 6404 grad_norm: 6.5971 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0827 loss: 1.0827 2022/06/30 10:56:43 - mmengine - INFO - Epoch(train) [68][1400/3757] lr: 1.000e-03 eta: 9:20:50 time: 0.264 data_time: 0.010 memory: 6404 grad_norm: 8.5840 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0092 loss: 1.0092 2022/06/30 10:56:48 - mmengine - INFO - Epoch(train) [68][1420/3757] lr: 1.000e-03 eta: 9:20:44 time: 0.266 data_time: 0.009 memory: 6404 grad_norm: 8.0299 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3823 loss: 1.3823 2022/06/30 10:56:56 - mmengine - INFO - Epoch(train) [68][1440/3757] lr: 1.000e-03 eta: 9:20:40 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.8531 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0786 loss: 1.0786 2022/06/30 10:57:01 - mmengine - INFO - Epoch(train) [68][1460/3757] lr: 1.000e-03 eta: 9:20:34 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.3597 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0354 loss: 1.0354 2022/06/30 10:57:06 - mmengine - INFO - Epoch(train) [68][1480/3757] lr: 1.000e-03 eta: 9:20:28 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.7564 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2341 loss: 1.2341 2022/06/30 10:57:11 - mmengine - INFO - Epoch(train) [68][1500/3757] lr: 1.000e-03 eta: 9:20:23 time: 0.256 data_time: 0.015 memory: 6404 grad_norm: 8.8958 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3085 loss: 1.3085 2022/06/30 10:57:17 - mmengine - INFO - Epoch(train) [68][1520/3757] lr: 1.000e-03 eta: 9:20:17 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 6.8029 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3214 loss: 1.3214 2022/06/30 10:57:22 - mmengine - INFO - Epoch(train) [68][1540/3757] lr: 1.000e-03 eta: 9:20:11 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 8.8453 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2466 loss: 1.2466 2022/06/30 10:57:27 - mmengine - INFO - Epoch(train) [68][1560/3757] lr: 1.000e-03 eta: 9:20:06 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 7.4741 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2148 loss: 1.2148 2022/06/30 10:57:32 - mmengine - INFO - Epoch(train) [68][1580/3757] lr: 1.000e-03 eta: 9:20:00 time: 0.261 data_time: 0.019 memory: 6404 grad_norm: 8.0508 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0373 loss: 1.0373 2022/06/30 10:57:38 - mmengine - INFO - Epoch(train) [68][1600/3757] lr: 1.000e-03 eta: 9:19:54 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.0150 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4425 loss: 1.4425 2022/06/30 10:57:43 - mmengine - INFO - Epoch(train) [68][1620/3757] lr: 1.000e-03 eta: 9:19:49 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 8.1771 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2411 loss: 1.2411 2022/06/30 10:57:49 - mmengine - INFO - Epoch(train) [68][1640/3757] lr: 1.000e-03 eta: 9:19:44 time: 0.261 data_time: 0.017 memory: 6404 grad_norm: 8.9233 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0977 loss: 1.0977 2022/06/30 10:57:55 - mmengine - INFO - Epoch(train) [68][1660/3757] lr: 1.000e-03 eta: 9:19:38 time: 0.587 data_time: 0.011 memory: 6404 grad_norm: 6.8425 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0826 loss: 1.0826 2022/06/30 10:58:00 - mmengine - INFO - Epoch(train) [68][1680/3757] lr: 1.000e-03 eta: 9:19:33 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 7.7974 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3964 loss: 1.3964 2022/06/30 10:58:06 - mmengine - INFO - Epoch(train) [68][1700/3757] lr: 1.000e-03 eta: 9:19:27 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 8.2208 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2742 loss: 1.2742 2022/06/30 10:58:12 - mmengine - INFO - Epoch(train) [68][1720/3757] lr: 1.000e-03 eta: 9:19:22 time: 0.433 data_time: 0.007 memory: 6404 grad_norm: 8.1000 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3466 loss: 1.3466 2022/06/30 10:58:17 - mmengine - INFO - Epoch(train) [68][1740/3757] lr: 1.000e-03 eta: 9:19:16 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.8825 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.1590 loss: 1.1590 2022/06/30 10:58:22 - mmengine - INFO - Epoch(train) [68][1760/3757] lr: 1.000e-03 eta: 9:19:11 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 7.9919 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2452 loss: 1.2452 2022/06/30 10:58:28 - mmengine - INFO - Epoch(train) [68][1780/3757] lr: 1.000e-03 eta: 9:19:05 time: 0.349 data_time: 0.008 memory: 6404 grad_norm: 7.2891 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9449 loss: 0.9449 2022/06/30 10:58:33 - mmengine - INFO - Epoch(train) [68][1800/3757] lr: 1.000e-03 eta: 9:19:00 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 9.7936 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5094 loss: 1.5094 2022/06/30 10:58:38 - mmengine - INFO - Epoch(train) [68][1820/3757] lr: 1.000e-03 eta: 9:18:54 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 7.7975 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6401 loss: 1.6401 2022/06/30 10:58:44 - mmengine - INFO - Epoch(train) [68][1840/3757] lr: 1.000e-03 eta: 9:18:49 time: 0.514 data_time: 0.007 memory: 6404 grad_norm: 8.2152 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1208 loss: 1.1208 2022/06/30 10:58:49 - mmengine - INFO - Epoch(train) [68][1860/3757] lr: 1.000e-03 eta: 9:18:43 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 8.2737 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.7383 loss: 0.7383 2022/06/30 10:58:55 - mmengine - INFO - Epoch(train) [68][1880/3757] lr: 1.000e-03 eta: 9:18:38 time: 0.413 data_time: 0.214 memory: 6404 grad_norm: 6.9353 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1331 loss: 1.1331 2022/06/30 10:59:01 - mmengine - INFO - Epoch(train) [68][1900/3757] lr: 1.000e-03 eta: 9:18:32 time: 0.294 data_time: 0.010 memory: 6404 grad_norm: 9.0404 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3020 loss: 1.3020 2022/06/30 10:59:06 - mmengine - INFO - Epoch(train) [68][1920/3757] lr: 1.000e-03 eta: 9:18:27 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.8798 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3664 loss: 1.3664 2022/06/30 10:59:11 - mmengine - INFO - Epoch(train) [68][1940/3757] lr: 1.000e-03 eta: 9:18:21 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 6.6987 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1039 loss: 1.1039 2022/06/30 10:59:16 - mmengine - INFO - Epoch(train) [68][1960/3757] lr: 1.000e-03 eta: 9:18:15 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 7.5447 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9875 loss: 0.9875 2022/06/30 10:59:22 - mmengine - INFO - Epoch(train) [68][1980/3757] lr: 1.000e-03 eta: 9:18:10 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.1073 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0166 loss: 1.0166 2022/06/30 10:59:28 - mmengine - INFO - Epoch(train) [68][2000/3757] lr: 1.000e-03 eta: 9:18:05 time: 0.261 data_time: 0.020 memory: 6404 grad_norm: 6.7694 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2195 loss: 1.2195 2022/06/30 10:59:33 - mmengine - INFO - Epoch(train) [68][2020/3757] lr: 1.000e-03 eta: 9:17:59 time: 0.251 data_time: 0.028 memory: 6404 grad_norm: 7.4161 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1939 loss: 1.1939 2022/06/30 10:59:38 - mmengine - INFO - Epoch(train) [68][2040/3757] lr: 1.000e-03 eta: 9:17:54 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 7.6212 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1823 loss: 1.1823 2022/06/30 10:59:44 - mmengine - INFO - Epoch(train) [68][2060/3757] lr: 1.000e-03 eta: 9:17:48 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 8.9001 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1320 loss: 1.1320 2022/06/30 10:59:49 - mmengine - INFO - Epoch(train) [68][2080/3757] lr: 1.000e-03 eta: 9:17:43 time: 0.273 data_time: 0.008 memory: 6404 grad_norm: 8.8267 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2929 loss: 1.2929 2022/06/30 10:59:55 - mmengine - INFO - Epoch(train) [68][2100/3757] lr: 1.000e-03 eta: 9:17:37 time: 0.286 data_time: 0.008 memory: 6404 grad_norm: 6.8533 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3531 loss: 1.3531 2022/06/30 11:00:01 - mmengine - INFO - Epoch(train) [68][2120/3757] lr: 1.000e-03 eta: 9:17:32 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 7.9057 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9871 loss: 0.9871 2022/06/30 11:00:06 - mmengine - INFO - Epoch(train) [68][2140/3757] lr: 1.000e-03 eta: 9:17:26 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 8.7429 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2988 loss: 1.2988 2022/06/30 11:00:11 - mmengine - INFO - Epoch(train) [68][2160/3757] lr: 1.000e-03 eta: 9:17:20 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 9.1177 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9231 loss: 0.9231 2022/06/30 11:00:17 - mmengine - INFO - Epoch(train) [68][2180/3757] lr: 1.000e-03 eta: 9:17:15 time: 0.239 data_time: 0.007 memory: 6404 grad_norm: 9.1305 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0172 loss: 1.0172 2022/06/30 11:00:22 - mmengine - INFO - Epoch(train) [68][2200/3757] lr: 1.000e-03 eta: 9:17:09 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 8.2861 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5295 loss: 1.5295 2022/06/30 11:00:28 - mmengine - INFO - Epoch(train) [68][2220/3757] lr: 1.000e-03 eta: 9:17:04 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 7.0007 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0668 loss: 1.0668 2022/06/30 11:00:33 - mmengine - INFO - Epoch(train) [68][2240/3757] lr: 1.000e-03 eta: 9:16:59 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 8.6135 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4541 loss: 1.4541 2022/06/30 11:00:39 - mmengine - INFO - Epoch(train) [68][2260/3757] lr: 1.000e-03 eta: 9:16:53 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 9.0742 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7246 loss: 1.7246 2022/06/30 11:00:44 - mmengine - INFO - Epoch(train) [68][2280/3757] lr: 1.000e-03 eta: 9:16:47 time: 0.297 data_time: 0.007 memory: 6404 grad_norm: 8.8347 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0027 loss: 1.0027 2022/06/30 11:00:44 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 11:00:49 - mmengine - INFO - Epoch(train) [68][2300/3757] lr: 1.000e-03 eta: 9:16:42 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 7.7484 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2937 loss: 1.2937 2022/06/30 11:00:56 - mmengine - INFO - Epoch(train) [68][2320/3757] lr: 1.000e-03 eta: 9:16:37 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 7.8401 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0912 loss: 1.0912 2022/06/30 11:01:01 - mmengine - INFO - Epoch(train) [68][2340/3757] lr: 1.000e-03 eta: 9:16:31 time: 0.326 data_time: 0.014 memory: 6404 grad_norm: 8.0910 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3163 loss: 1.3163 2022/06/30 11:01:06 - mmengine - INFO - Epoch(train) [68][2360/3757] lr: 1.000e-03 eta: 9:16:26 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 7.5171 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3258 loss: 1.3258 2022/06/30 11:01:12 - mmengine - INFO - Epoch(train) [68][2380/3757] lr: 1.000e-03 eta: 9:16:20 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.6093 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2459 loss: 1.2459 2022/06/30 11:01:18 - mmengine - INFO - Epoch(train) [68][2400/3757] lr: 1.000e-03 eta: 9:16:15 time: 0.678 data_time: 0.011 memory: 6404 grad_norm: 6.2360 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9415 loss: 0.9415 2022/06/30 11:01:23 - mmengine - INFO - Epoch(train) [68][2420/3757] lr: 1.000e-03 eta: 9:16:09 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.5469 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1332 loss: 1.1332 2022/06/30 11:01:29 - mmengine - INFO - Epoch(train) [68][2440/3757] lr: 1.000e-03 eta: 9:16:04 time: 0.260 data_time: 0.013 memory: 6404 grad_norm: 7.9346 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3470 loss: 1.3470 2022/06/30 11:01:34 - mmengine - INFO - Epoch(train) [68][2460/3757] lr: 1.000e-03 eta: 9:15:58 time: 0.723 data_time: 0.013 memory: 6404 grad_norm: 5.7674 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1061 loss: 1.1061 2022/06/30 11:01:39 - mmengine - INFO - Epoch(train) [68][2480/3757] lr: 1.000e-03 eta: 9:15:53 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 8.5437 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0034 loss: 1.0034 2022/06/30 11:01:45 - mmengine - INFO - Epoch(train) [68][2500/3757] lr: 1.000e-03 eta: 9:15:47 time: 0.251 data_time: 0.016 memory: 6404 grad_norm: 8.0178 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1022 loss: 1.1022 2022/06/30 11:01:50 - mmengine - INFO - Epoch(train) [68][2520/3757] lr: 1.000e-03 eta: 9:15:41 time: 0.249 data_time: 0.016 memory: 6404 grad_norm: 6.8888 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4840 loss: 1.4840 2022/06/30 11:01:55 - mmengine - INFO - Epoch(train) [68][2540/3757] lr: 1.000e-03 eta: 9:15:36 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 7.7664 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4051 loss: 1.4051 2022/06/30 11:02:01 - mmengine - INFO - Epoch(train) [68][2560/3757] lr: 1.000e-03 eta: 9:15:30 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 5.7984 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9574 loss: 0.9574 2022/06/30 11:02:06 - mmengine - INFO - Epoch(train) [68][2580/3757] lr: 1.000e-03 eta: 9:15:25 time: 0.239 data_time: 0.032 memory: 6404 grad_norm: 9.0836 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1912 loss: 1.1912 2022/06/30 11:02:12 - mmengine - INFO - Epoch(train) [68][2600/3757] lr: 1.000e-03 eta: 9:15:19 time: 0.745 data_time: 0.007 memory: 6404 grad_norm: 7.6799 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0932 loss: 1.0932 2022/06/30 11:02:17 - mmengine - INFO - Epoch(train) [68][2620/3757] lr: 1.000e-03 eta: 9:15:14 time: 0.256 data_time: 0.016 memory: 6404 grad_norm: 8.8221 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5001 loss: 1.5001 2022/06/30 11:02:23 - mmengine - INFO - Epoch(train) [68][2640/3757] lr: 1.000e-03 eta: 9:15:09 time: 0.254 data_time: 0.016 memory: 6404 grad_norm: 8.6287 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4810 loss: 1.4810 2022/06/30 11:02:29 - mmengine - INFO - Epoch(train) [68][2660/3757] lr: 1.000e-03 eta: 9:15:03 time: 0.278 data_time: 0.007 memory: 6404 grad_norm: 6.9374 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0905 loss: 1.0905 2022/06/30 11:02:34 - mmengine - INFO - Epoch(train) [68][2680/3757] lr: 1.000e-03 eta: 9:14:57 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 7.9918 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0850 loss: 1.0850 2022/06/30 11:02:40 - mmengine - INFO - Epoch(train) [68][2700/3757] lr: 1.000e-03 eta: 9:14:52 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 7.2664 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9824 loss: 0.9824 2022/06/30 11:02:46 - mmengine - INFO - Epoch(train) [68][2720/3757] lr: 1.000e-03 eta: 9:14:47 time: 0.303 data_time: 0.007 memory: 6404 grad_norm: 8.9667 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8551 loss: 0.8551 2022/06/30 11:02:51 - mmengine - INFO - Epoch(train) [68][2740/3757] lr: 1.000e-03 eta: 9:14:41 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 8.0327 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2163 loss: 1.2163 2022/06/30 11:02:56 - mmengine - INFO - Epoch(train) [68][2760/3757] lr: 1.000e-03 eta: 9:14:36 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 8.2292 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0118 loss: 1.0118 2022/06/30 11:03:01 - mmengine - INFO - Epoch(train) [68][2780/3757] lr: 1.000e-03 eta: 9:14:30 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 7.8353 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4879 loss: 1.4879 2022/06/30 11:03:07 - mmengine - INFO - Epoch(train) [68][2800/3757] lr: 1.000e-03 eta: 9:14:24 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 9.9398 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6305 loss: 1.6305 2022/06/30 11:03:12 - mmengine - INFO - Epoch(train) [68][2820/3757] lr: 1.000e-03 eta: 9:14:19 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 7.8428 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9686 loss: 0.9686 2022/06/30 11:03:18 - mmengine - INFO - Epoch(train) [68][2840/3757] lr: 1.000e-03 eta: 9:14:13 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 8.6843 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2200 loss: 1.2200 2022/06/30 11:03:24 - mmengine - INFO - Epoch(train) [68][2860/3757] lr: 1.000e-03 eta: 9:14:08 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 6.7831 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0968 loss: 1.0968 2022/06/30 11:03:29 - mmengine - INFO - Epoch(train) [68][2880/3757] lr: 1.000e-03 eta: 9:14:03 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 8.5063 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3189 loss: 1.3189 2022/06/30 11:03:34 - mmengine - INFO - Epoch(train) [68][2900/3757] lr: 1.000e-03 eta: 9:13:57 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 8.2742 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4002 loss: 1.4002 2022/06/30 11:03:40 - mmengine - INFO - Epoch(train) [68][2920/3757] lr: 1.000e-03 eta: 9:13:52 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 8.4074 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1763 loss: 1.1763 2022/06/30 11:03:46 - mmengine - INFO - Epoch(train) [68][2940/3757] lr: 1.000e-03 eta: 9:13:46 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.1748 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3431 loss: 1.3431 2022/06/30 11:03:51 - mmengine - INFO - Epoch(train) [68][2960/3757] lr: 1.000e-03 eta: 9:13:41 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.1061 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1693 loss: 1.1693 2022/06/30 11:03:56 - mmengine - INFO - Epoch(train) [68][2980/3757] lr: 1.000e-03 eta: 9:13:35 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 9.6985 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1534 loss: 1.1534 2022/06/30 11:04:01 - mmengine - INFO - Epoch(train) [68][3000/3757] lr: 1.000e-03 eta: 9:13:29 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 8.6926 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8300 loss: 0.8300 2022/06/30 11:04:07 - mmengine - INFO - Epoch(train) [68][3020/3757] lr: 1.000e-03 eta: 9:13:24 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.3316 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0692 loss: 1.0692 2022/06/30 11:04:12 - mmengine - INFO - Epoch(train) [68][3040/3757] lr: 1.000e-03 eta: 9:13:18 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 7.9748 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5199 loss: 1.5199 2022/06/30 11:04:18 - mmengine - INFO - Epoch(train) [68][3060/3757] lr: 1.000e-03 eta: 9:13:13 time: 0.242 data_time: 0.031 memory: 6404 grad_norm: 8.7994 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1708 loss: 1.1708 2022/06/30 11:04:23 - mmengine - INFO - Epoch(train) [68][3080/3757] lr: 1.000e-03 eta: 9:13:07 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 7.2652 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0223 loss: 1.0223 2022/06/30 11:04:29 - mmengine - INFO - Epoch(train) [68][3100/3757] lr: 1.000e-03 eta: 9:13:02 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 8.3613 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4221 loss: 1.4221 2022/06/30 11:04:34 - mmengine - INFO - Epoch(train) [68][3120/3757] lr: 1.000e-03 eta: 9:12:56 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 9.4020 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8793 loss: 0.8793 2022/06/30 11:04:40 - mmengine - INFO - Epoch(train) [68][3140/3757] lr: 1.000e-03 eta: 9:12:51 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 8.2913 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0921 loss: 1.0921 2022/06/30 11:04:46 - mmengine - INFO - Epoch(train) [68][3160/3757] lr: 1.000e-03 eta: 9:12:45 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 7.6720 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9593 loss: 0.9593 2022/06/30 11:04:51 - mmengine - INFO - Epoch(train) [68][3180/3757] lr: 1.000e-03 eta: 9:12:40 time: 0.246 data_time: 0.030 memory: 6404 grad_norm: 8.5199 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1869 loss: 1.1869 2022/06/30 11:04:56 - mmengine - INFO - Epoch(train) [68][3200/3757] lr: 1.000e-03 eta: 9:12:34 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 6.3533 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3877 loss: 1.3877 2022/06/30 11:05:01 - mmengine - INFO - Epoch(train) [68][3220/3757] lr: 1.000e-03 eta: 9:12:29 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 9.3091 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1421 loss: 1.1421 2022/06/30 11:05:07 - mmengine - INFO - Epoch(train) [68][3240/3757] lr: 1.000e-03 eta: 9:12:23 time: 0.247 data_time: 0.027 memory: 6404 grad_norm: 8.0715 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3642 loss: 1.3642 2022/06/30 11:05:13 - mmengine - INFO - Epoch(train) [68][3260/3757] lr: 1.000e-03 eta: 9:12:18 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 9.0781 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8430 loss: 0.8430 2022/06/30 11:05:18 - mmengine - INFO - Epoch(train) [68][3280/3757] lr: 1.000e-03 eta: 9:12:12 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 8.6040 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4995 loss: 1.4995 2022/06/30 11:05:18 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 11:05:23 - mmengine - INFO - Epoch(train) [68][3300/3757] lr: 1.000e-03 eta: 9:12:07 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 6.7503 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9644 loss: 0.9644 2022/06/30 11:05:29 - mmengine - INFO - Epoch(train) [68][3320/3757] lr: 1.000e-03 eta: 9:12:01 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 9.1818 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0013 loss: 1.0013 2022/06/30 11:05:34 - mmengine - INFO - Epoch(train) [68][3340/3757] lr: 1.000e-03 eta: 9:11:56 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 6.4637 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9931 loss: 0.9931 2022/06/30 11:05:40 - mmengine - INFO - Epoch(train) [68][3360/3757] lr: 1.000e-03 eta: 9:11:50 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 9.3989 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6215 loss: 1.6215 2022/06/30 11:05:45 - mmengine - INFO - Epoch(train) [68][3380/3757] lr: 1.000e-03 eta: 9:11:45 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 8.4354 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8164 loss: 0.8164 2022/06/30 11:05:51 - mmengine - INFO - Epoch(train) [68][3400/3757] lr: 1.000e-03 eta: 9:11:39 time: 0.729 data_time: 0.007 memory: 6404 grad_norm: 8.3202 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0964 loss: 1.0964 2022/06/30 11:05:57 - mmengine - INFO - Epoch(train) [68][3420/3757] lr: 1.000e-03 eta: 9:11:34 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 8.1680 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2501 loss: 1.2501 2022/06/30 11:06:02 - mmengine - INFO - Epoch(train) [68][3440/3757] lr: 1.000e-03 eta: 9:11:28 time: 0.255 data_time: 0.019 memory: 6404 grad_norm: 9.2111 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3593 loss: 1.3593 2022/06/30 11:06:07 - mmengine - INFO - Epoch(train) [68][3460/3757] lr: 1.000e-03 eta: 9:11:23 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 8.3117 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4075 loss: 1.4075 2022/06/30 11:06:12 - mmengine - INFO - Epoch(train) [68][3480/3757] lr: 1.000e-03 eta: 9:11:17 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 7.9992 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2428 loss: 1.2428 2022/06/30 11:06:18 - mmengine - INFO - Epoch(train) [68][3500/3757] lr: 1.000e-03 eta: 9:11:11 time: 0.249 data_time: 0.018 memory: 6404 grad_norm: 7.8786 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0473 loss: 1.0473 2022/06/30 11:06:23 - mmengine - INFO - Epoch(train) [68][3520/3757] lr: 1.000e-03 eta: 9:11:06 time: 0.296 data_time: 0.008 memory: 6404 grad_norm: 6.2532 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0019 loss: 1.0019 2022/06/30 11:06:29 - mmengine - INFO - Epoch(train) [68][3540/3757] lr: 1.000e-03 eta: 9:11:01 time: 0.270 data_time: 0.009 memory: 6404 grad_norm: 7.8657 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3475 loss: 1.3475 2022/06/30 11:06:35 - mmengine - INFO - Epoch(train) [68][3560/3757] lr: 1.000e-03 eta: 9:10:55 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 6.6966 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2890 loss: 1.2890 2022/06/30 11:06:40 - mmengine - INFO - Epoch(train) [68][3580/3757] lr: 1.000e-03 eta: 9:10:50 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 8.1577 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5621 loss: 1.5621 2022/06/30 11:06:46 - mmengine - INFO - Epoch(train) [68][3600/3757] lr: 1.000e-03 eta: 9:10:44 time: 0.272 data_time: 0.014 memory: 6404 grad_norm: 7.2489 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7838 loss: 0.7838 2022/06/30 11:06:51 - mmengine - INFO - Epoch(train) [68][3620/3757] lr: 1.000e-03 eta: 9:10:39 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 9.5137 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8812 loss: 0.8812 2022/06/30 11:06:57 - mmengine - INFO - Epoch(train) [68][3640/3757] lr: 1.000e-03 eta: 9:10:33 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 8.6164 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4067 loss: 1.4067 2022/06/30 11:07:03 - mmengine - INFO - Epoch(train) [68][3660/3757] lr: 1.000e-03 eta: 9:10:28 time: 0.305 data_time: 0.026 memory: 6404 grad_norm: 7.0373 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0441 loss: 1.0441 2022/06/30 11:07:08 - mmengine - INFO - Epoch(train) [68][3680/3757] lr: 1.000e-03 eta: 9:10:22 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 9.2750 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1683 loss: 1.1683 2022/06/30 11:07:13 - mmengine - INFO - Epoch(train) [68][3700/3757] lr: 1.000e-03 eta: 9:10:17 time: 0.266 data_time: 0.012 memory: 6404 grad_norm: 8.6157 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0022 loss: 1.0022 2022/06/30 11:07:19 - mmengine - INFO - Epoch(train) [68][3720/3757] lr: 1.000e-03 eta: 9:10:11 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 6.0955 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2623 loss: 1.2623 2022/06/30 11:07:24 - mmengine - INFO - Epoch(train) [68][3740/3757] lr: 1.000e-03 eta: 9:10:06 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 8.1947 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1939 loss: 1.1939 2022/06/30 11:07:28 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 11:07:38 - mmengine - INFO - Epoch(val) [68][20/310] eta: 0:02:36 time: 0.080 data_time: 0.006 memory: 6404 2022/06/30 11:07:43 - mmengine - INFO - Epoch(val) [68][40/310] eta: 0:01:18 time: 0.091 data_time: 0.005 memory: 1479 2022/06/30 11:07:48 - mmengine - INFO - Epoch(val) [68][60/310] eta: 0:01:21 time: 0.082 data_time: 0.008 memory: 1479 2022/06/30 11:07:53 - mmengine - INFO - Epoch(val) [68][80/310] eta: 0:00:55 time: 0.081 data_time: 0.005 memory: 1479 2022/06/30 11:07:58 - mmengine - INFO - Epoch(val) [68][100/310] eta: 0:00:50 time: 0.076 data_time: 0.005 memory: 1479 2022/06/30 11:08:03 - mmengine - INFO - Epoch(val) [68][120/310] eta: 0:01:05 time: 0.085 data_time: 0.006 memory: 1479 2022/06/30 11:08:08 - mmengine - INFO - Epoch(val) [68][140/310] eta: 0:00:45 time: 0.080 data_time: 0.007 memory: 1479 2022/06/30 11:08:14 - mmengine - INFO - Epoch(val) [68][160/310] eta: 0:00:47 time: 0.088 data_time: 0.006 memory: 1479 2022/06/30 11:08:18 - mmengine - INFO - Epoch(val) [68][180/310] eta: 0:00:40 time: 0.085 data_time: 0.008 memory: 1479 2022/06/30 11:08:24 - mmengine - INFO - Epoch(val) [68][200/310] eta: 0:00:31 time: 0.076 data_time: 0.005 memory: 1479 2022/06/30 11:08:30 - mmengine - INFO - Epoch(val) [68][220/310] eta: 0:00:31 time: 0.087 data_time: 0.005 memory: 1479 2022/06/30 11:08:34 - mmengine - INFO - Epoch(val) [68][240/310] eta: 0:00:20 time: 0.082 data_time: 0.006 memory: 1479 2022/06/30 11:08:41 - mmengine - INFO - Epoch(val) [68][260/310] eta: 0:00:18 time: 0.088 data_time: 0.007 memory: 1479 2022/06/30 11:08:47 - mmengine - INFO - Epoch(val) [68][280/310] eta: 0:00:08 time: 0.087 data_time: 0.005 memory: 1479 2022/06/30 11:08:49 - mmengine - INFO - Epoch(val) [68][300/310] eta: 0:00:01 time: 0.083 data_time: 0.006 memory: 1479 2022/06/30 11:08:52 - mmengine - INFO - Epoch(val) [68][310/310] acc/top1: 0.6660 acc/top5: 0.8679 acc/mean1: 0.6659 2022/06/30 11:09:01 - mmengine - INFO - Epoch(train) [69][20/3757] lr: 1.000e-03 eta: 9:09:56 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 7.2393 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 0.9245 loss: 0.9245 2022/06/30 11:09:06 - mmengine - INFO - Epoch(train) [69][40/3757] lr: 1.000e-03 eta: 9:09:51 time: 0.254 data_time: 0.015 memory: 6404 grad_norm: 6.8302 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0100 loss: 1.0100 2022/06/30 11:09:12 - mmengine - INFO - Epoch(train) [69][60/3757] lr: 1.000e-03 eta: 9:09:45 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 9.3930 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1494 loss: 1.1494 2022/06/30 11:09:18 - mmengine - INFO - Epoch(train) [69][80/3757] lr: 1.000e-03 eta: 9:09:40 time: 0.264 data_time: 0.011 memory: 6404 grad_norm: 8.0699 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9812 loss: 0.9812 2022/06/30 11:09:24 - mmengine - INFO - Epoch(train) [69][100/3757] lr: 1.000e-03 eta: 9:09:35 time: 0.256 data_time: 0.017 memory: 6404 grad_norm: 6.2579 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2796 loss: 1.2796 2022/06/30 11:09:29 - mmengine - INFO - Epoch(train) [69][120/3757] lr: 1.000e-03 eta: 9:09:29 time: 0.250 data_time: 0.015 memory: 6404 grad_norm: 6.8566 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1162 loss: 1.1162 2022/06/30 11:09:34 - mmengine - INFO - Epoch(train) [69][140/3757] lr: 1.000e-03 eta: 9:09:23 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 8.1981 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9911 loss: 0.9911 2022/06/30 11:09:40 - mmengine - INFO - Epoch(train) [69][160/3757] lr: 1.000e-03 eta: 9:09:18 time: 0.264 data_time: 0.009 memory: 6404 grad_norm: 8.0251 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0804 loss: 1.0804 2022/06/30 11:09:45 - mmengine - INFO - Epoch(train) [69][180/3757] lr: 1.000e-03 eta: 9:09:12 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 8.1664 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1706 loss: 1.1706 2022/06/30 11:09:50 - mmengine - INFO - Epoch(train) [69][200/3757] lr: 1.000e-03 eta: 9:09:07 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 8.6901 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0078 loss: 1.0078 2022/06/30 11:09:56 - mmengine - INFO - Epoch(train) [69][220/3757] lr: 1.000e-03 eta: 9:09:01 time: 0.289 data_time: 0.009 memory: 6404 grad_norm: 7.7762 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0167 loss: 1.0167 2022/06/30 11:10:02 - mmengine - INFO - Epoch(train) [69][240/3757] lr: 1.000e-03 eta: 9:08:56 time: 0.242 data_time: 0.010 memory: 6404 grad_norm: 7.4663 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0902 loss: 1.0902 2022/06/30 11:10:08 - mmengine - INFO - Epoch(train) [69][260/3757] lr: 1.000e-03 eta: 9:08:50 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 8.0935 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0377 loss: 1.0377 2022/06/30 11:10:13 - mmengine - INFO - Epoch(train) [69][280/3757] lr: 1.000e-03 eta: 9:08:45 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 7.8868 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3226 loss: 1.3226 2022/06/30 11:10:19 - mmengine - INFO - Epoch(train) [69][300/3757] lr: 1.000e-03 eta: 9:08:39 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 8.0790 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0886 loss: 1.0886 2022/06/30 11:10:24 - mmengine - INFO - Epoch(train) [69][320/3757] lr: 1.000e-03 eta: 9:08:34 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 7.6718 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2475 loss: 1.2475 2022/06/30 11:10:30 - mmengine - INFO - Epoch(train) [69][340/3757] lr: 1.000e-03 eta: 9:08:29 time: 0.269 data_time: 0.012 memory: 6404 grad_norm: 7.7458 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0386 loss: 1.0386 2022/06/30 11:10:35 - mmengine - INFO - Epoch(train) [69][360/3757] lr: 1.000e-03 eta: 9:08:23 time: 0.264 data_time: 0.010 memory: 6404 grad_norm: 8.2074 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8587 loss: 0.8587 2022/06/30 11:10:40 - mmengine - INFO - Epoch(train) [69][380/3757] lr: 1.000e-03 eta: 9:08:17 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 8.5038 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0406 loss: 1.0406 2022/06/30 11:10:45 - mmengine - INFO - Epoch(train) [69][400/3757] lr: 1.000e-03 eta: 9:08:12 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 8.2837 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1194 loss: 1.1194 2022/06/30 11:10:51 - mmengine - INFO - Epoch(train) [69][420/3757] lr: 1.000e-03 eta: 9:08:06 time: 0.246 data_time: 0.021 memory: 6404 grad_norm: 9.3959 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0127 loss: 1.0127 2022/06/30 11:10:57 - mmengine - INFO - Epoch(train) [69][440/3757] lr: 1.000e-03 eta: 9:08:01 time: 0.269 data_time: 0.019 memory: 6404 grad_norm: 8.4095 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2629 loss: 1.2629 2022/06/30 11:11:02 - mmengine - INFO - Epoch(train) [69][460/3757] lr: 1.000e-03 eta: 9:07:55 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 6.9956 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1936 loss: 1.1936 2022/06/30 11:11:07 - mmengine - INFO - Epoch(train) [69][480/3757] lr: 1.000e-03 eta: 9:07:50 time: 0.263 data_time: 0.027 memory: 6404 grad_norm: 8.1969 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9198 loss: 0.9198 2022/06/30 11:11:13 - mmengine - INFO - Epoch(train) [69][500/3757] lr: 1.000e-03 eta: 9:07:44 time: 0.340 data_time: 0.007 memory: 6404 grad_norm: 7.9997 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1738 loss: 1.1738 2022/06/30 11:11:18 - mmengine - INFO - Epoch(train) [69][520/3757] lr: 1.000e-03 eta: 9:07:39 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.5153 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9152 loss: 0.9152 2022/06/30 11:11:19 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 11:11:23 - mmengine - INFO - Epoch(train) [69][540/3757] lr: 1.000e-03 eta: 9:07:33 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.7266 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1709 loss: 1.1709 2022/06/30 11:11:29 - mmengine - INFO - Epoch(train) [69][560/3757] lr: 1.000e-03 eta: 9:07:28 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.6906 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1461 loss: 1.1461 2022/06/30 11:11:35 - mmengine - INFO - Epoch(train) [69][580/3757] lr: 1.000e-03 eta: 9:07:22 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 7.2829 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3157 loss: 1.3157 2022/06/30 11:11:40 - mmengine - INFO - Epoch(train) [69][600/3757] lr: 1.000e-03 eta: 9:07:17 time: 0.285 data_time: 0.008 memory: 6404 grad_norm: 7.7878 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1030 loss: 1.1030 2022/06/30 11:11:45 - mmengine - INFO - Epoch(train) [69][620/3757] lr: 1.000e-03 eta: 9:07:11 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 7.1760 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4113 loss: 1.4113 2022/06/30 11:11:51 - mmengine - INFO - Epoch(train) [69][640/3757] lr: 1.000e-03 eta: 9:07:06 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.7268 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0583 loss: 1.0583 2022/06/30 11:11:57 - mmengine - INFO - Epoch(train) [69][660/3757] lr: 1.000e-03 eta: 9:07:00 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 6.2552 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2858 loss: 1.2858 2022/06/30 11:12:02 - mmengine - INFO - Epoch(train) [69][680/3757] lr: 1.000e-03 eta: 9:06:55 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 8.6479 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2013 loss: 1.2013 2022/06/30 11:12:08 - mmengine - INFO - Epoch(train) [69][700/3757] lr: 1.000e-03 eta: 9:06:50 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 6.3856 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9724 loss: 0.9724 2022/06/30 11:12:13 - mmengine - INFO - Epoch(train) [69][720/3757] lr: 1.000e-03 eta: 9:06:44 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.1513 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8997 loss: 0.8997 2022/06/30 11:12:19 - mmengine - INFO - Epoch(train) [69][740/3757] lr: 1.000e-03 eta: 9:06:39 time: 0.245 data_time: 0.013 memory: 6404 grad_norm: 9.3711 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0264 loss: 1.0264 2022/06/30 11:12:24 - mmengine - INFO - Epoch(train) [69][760/3757] lr: 1.000e-03 eta: 9:06:33 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 6.7769 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8432 loss: 0.8432 2022/06/30 11:12:30 - mmengine - INFO - Epoch(train) [69][780/3757] lr: 1.000e-03 eta: 9:06:27 time: 0.263 data_time: 0.011 memory: 6404 grad_norm: 8.0547 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.3003 loss: 1.3003 2022/06/30 11:12:35 - mmengine - INFO - Epoch(train) [69][800/3757] lr: 1.000e-03 eta: 9:06:22 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 7.2719 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9276 loss: 0.9276 2022/06/30 11:12:40 - mmengine - INFO - Epoch(train) [69][820/3757] lr: 1.000e-03 eta: 9:06:16 time: 0.257 data_time: 0.020 memory: 6404 grad_norm: 8.7103 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0918 loss: 1.0918 2022/06/30 11:12:45 - mmengine - INFO - Epoch(train) [69][840/3757] lr: 1.000e-03 eta: 9:06:10 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 7.6565 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0619 loss: 1.0619 2022/06/30 11:12:51 - mmengine - INFO - Epoch(train) [69][860/3757] lr: 1.000e-03 eta: 9:06:05 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 7.5130 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9780 loss: 0.9780 2022/06/30 11:12:58 - mmengine - INFO - Epoch(train) [69][880/3757] lr: 1.000e-03 eta: 9:06:00 time: 0.254 data_time: 0.022 memory: 6404 grad_norm: 9.5362 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4079 loss: 1.4079 2022/06/30 11:13:03 - mmengine - INFO - Epoch(train) [69][900/3757] lr: 1.000e-03 eta: 9:05:54 time: 0.279 data_time: 0.007 memory: 6404 grad_norm: 6.8545 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1672 loss: 1.1672 2022/06/30 11:13:08 - mmengine - INFO - Epoch(train) [69][920/3757] lr: 1.000e-03 eta: 9:05:49 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 8.0924 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1964 loss: 1.1964 2022/06/30 11:13:13 - mmengine - INFO - Epoch(train) [69][940/3757] lr: 1.000e-03 eta: 9:05:43 time: 0.254 data_time: 0.018 memory: 6404 grad_norm: 7.9228 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1208 loss: 1.1208 2022/06/30 11:13:19 - mmengine - INFO - Epoch(train) [69][960/3757] lr: 1.000e-03 eta: 9:05:38 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 8.5921 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1732 loss: 1.1732 2022/06/30 11:13:25 - mmengine - INFO - Epoch(train) [69][980/3757] lr: 1.000e-03 eta: 9:05:32 time: 0.265 data_time: 0.011 memory: 6404 grad_norm: 7.2743 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8859 loss: 0.8859 2022/06/30 11:13:30 - mmengine - INFO - Epoch(train) [69][1000/3757] lr: 1.000e-03 eta: 9:05:27 time: 0.253 data_time: 0.023 memory: 6404 grad_norm: 7.2768 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9686 loss: 0.9686 2022/06/30 11:13:35 - mmengine - INFO - Epoch(train) [69][1020/3757] lr: 1.000e-03 eta: 9:05:21 time: 0.265 data_time: 0.015 memory: 6404 grad_norm: 7.7578 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0061 loss: 1.0061 2022/06/30 11:13:41 - mmengine - INFO - Epoch(train) [69][1040/3757] lr: 1.000e-03 eta: 9:05:16 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 7.3504 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4348 loss: 1.4348 2022/06/30 11:13:46 - mmengine - INFO - Epoch(train) [69][1060/3757] lr: 1.000e-03 eta: 9:05:10 time: 0.265 data_time: 0.030 memory: 6404 grad_norm: 6.8978 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0986 loss: 1.0986 2022/06/30 11:13:51 - mmengine - INFO - Epoch(train) [69][1080/3757] lr: 1.000e-03 eta: 9:05:04 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 6.5136 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3066 loss: 1.3066 2022/06/30 11:13:57 - mmengine - INFO - Epoch(train) [69][1100/3757] lr: 1.000e-03 eta: 9:04:59 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.0166 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0370 loss: 1.0370 2022/06/30 11:14:02 - mmengine - INFO - Epoch(train) [69][1120/3757] lr: 1.000e-03 eta: 9:04:53 time: 0.262 data_time: 0.010 memory: 6404 grad_norm: 6.9093 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4823 loss: 1.4823 2022/06/30 11:14:08 - mmengine - INFO - Epoch(train) [69][1140/3757] lr: 1.000e-03 eta: 9:04:48 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 6.2611 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0916 loss: 1.0916 2022/06/30 11:14:13 - mmengine - INFO - Epoch(train) [69][1160/3757] lr: 1.000e-03 eta: 9:04:42 time: 0.248 data_time: 0.013 memory: 6404 grad_norm: 6.8626 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1550 loss: 1.1550 2022/06/30 11:14:19 - mmengine - INFO - Epoch(train) [69][1180/3757] lr: 1.000e-03 eta: 9:04:37 time: 0.267 data_time: 0.010 memory: 6404 grad_norm: 7.9793 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0371 loss: 1.0371 2022/06/30 11:14:24 - mmengine - INFO - Epoch(train) [69][1200/3757] lr: 1.000e-03 eta: 9:04:31 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 7.5977 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1371 loss: 1.1371 2022/06/30 11:14:29 - mmengine - INFO - Epoch(train) [69][1220/3757] lr: 1.000e-03 eta: 9:04:26 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 6.2063 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3381 loss: 1.3381 2022/06/30 11:14:35 - mmengine - INFO - Epoch(train) [69][1240/3757] lr: 1.000e-03 eta: 9:04:20 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 9.8324 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9805 loss: 0.9805 2022/06/30 11:14:40 - mmengine - INFO - Epoch(train) [69][1260/3757] lr: 1.000e-03 eta: 9:04:15 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 6.9385 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7414 loss: 0.7414 2022/06/30 11:14:46 - mmengine - INFO - Epoch(train) [69][1280/3757] lr: 1.000e-03 eta: 9:04:09 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 6.7326 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1083 loss: 1.1083 2022/06/30 11:14:51 - mmengine - INFO - Epoch(train) [69][1300/3757] lr: 1.000e-03 eta: 9:04:04 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 8.1019 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4780 loss: 1.4780 2022/06/30 11:14:57 - mmengine - INFO - Epoch(train) [69][1320/3757] lr: 1.000e-03 eta: 9:03:58 time: 0.626 data_time: 0.009 memory: 6404 grad_norm: 8.0656 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0464 loss: 1.0464 2022/06/30 11:15:03 - mmengine - INFO - Epoch(train) [69][1340/3757] lr: 1.000e-03 eta: 9:03:53 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 8.5296 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0545 loss: 1.0545 2022/06/30 11:15:08 - mmengine - INFO - Epoch(train) [69][1360/3757] lr: 1.000e-03 eta: 9:03:47 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 8.1480 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2556 loss: 1.2556 2022/06/30 11:15:13 - mmengine - INFO - Epoch(train) [69][1380/3757] lr: 1.000e-03 eta: 9:03:42 time: 0.259 data_time: 0.028 memory: 6404 grad_norm: 7.0047 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1227 loss: 1.1227 2022/06/30 11:15:19 - mmengine - INFO - Epoch(train) [69][1400/3757] lr: 1.000e-03 eta: 9:03:36 time: 0.256 data_time: 0.059 memory: 6404 grad_norm: 7.6948 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9370 loss: 0.9370 2022/06/30 11:15:24 - mmengine - INFO - Epoch(train) [69][1420/3757] lr: 1.000e-03 eta: 9:03:31 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 5.9924 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2085 loss: 1.2085 2022/06/30 11:15:30 - mmengine - INFO - Epoch(train) [69][1440/3757] lr: 1.000e-03 eta: 9:03:25 time: 0.619 data_time: 0.011 memory: 6404 grad_norm: 6.5284 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9061 loss: 0.9061 2022/06/30 11:15:35 - mmengine - INFO - Epoch(train) [69][1460/3757] lr: 1.000e-03 eta: 9:03:20 time: 0.261 data_time: 0.016 memory: 6404 grad_norm: 6.2123 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7890 loss: 0.7890 2022/06/30 11:15:41 - mmengine - INFO - Epoch(train) [69][1480/3757] lr: 1.000e-03 eta: 9:03:14 time: 0.263 data_time: 0.008 memory: 6404 grad_norm: 8.1057 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3844 loss: 1.3844 2022/06/30 11:15:47 - mmengine - INFO - Epoch(train) [69][1500/3757] lr: 1.000e-03 eta: 9:03:09 time: 0.787 data_time: 0.012 memory: 6404 grad_norm: 8.0892 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5649 loss: 1.5649 2022/06/30 11:15:52 - mmengine - INFO - Epoch(train) [69][1520/3757] lr: 1.000e-03 eta: 9:03:03 time: 0.256 data_time: 0.016 memory: 6404 grad_norm: 6.9046 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1772 loss: 1.1772 2022/06/30 11:15:53 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 11:15:58 - mmengine - INFO - Epoch(train) [69][1540/3757] lr: 1.000e-03 eta: 9:02:58 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 7.6792 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9233 loss: 0.9233 2022/06/30 11:16:04 - mmengine - INFO - Epoch(train) [69][1560/3757] lr: 1.000e-03 eta: 9:02:53 time: 0.270 data_time: 0.007 memory: 6404 grad_norm: 9.1382 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0068 loss: 1.0068 2022/06/30 11:16:09 - mmengine - INFO - Epoch(train) [69][1580/3757] lr: 1.000e-03 eta: 9:02:47 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 7.4969 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5200 loss: 1.5200 2022/06/30 11:16:14 - mmengine - INFO - Epoch(train) [69][1600/3757] lr: 1.000e-03 eta: 9:02:41 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 8.2952 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2645 loss: 1.2645 2022/06/30 11:16:19 - mmengine - INFO - Epoch(train) [69][1620/3757] lr: 1.000e-03 eta: 9:02:36 time: 0.244 data_time: 0.012 memory: 6404 grad_norm: 10.2234 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0206 loss: 1.0206 2022/06/30 11:16:25 - mmengine - INFO - Epoch(train) [69][1640/3757] lr: 1.000e-03 eta: 9:02:30 time: 0.248 data_time: 0.022 memory: 6404 grad_norm: 7.8385 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9852 loss: 0.9852 2022/06/30 11:16:30 - mmengine - INFO - Epoch(train) [69][1660/3757] lr: 1.000e-03 eta: 9:02:25 time: 0.287 data_time: 0.015 memory: 6404 grad_norm: 7.7934 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9543 loss: 0.9543 2022/06/30 11:16:35 - mmengine - INFO - Epoch(train) [69][1680/3757] lr: 1.000e-03 eta: 9:02:19 time: 0.263 data_time: 0.008 memory: 6404 grad_norm: 7.8076 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3054 loss: 1.3054 2022/06/30 11:16:40 - mmengine - INFO - Epoch(train) [69][1700/3757] lr: 1.000e-03 eta: 9:02:13 time: 0.246 data_time: 0.015 memory: 6404 grad_norm: 7.7132 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2227 loss: 1.2227 2022/06/30 11:16:45 - mmengine - INFO - Epoch(train) [69][1720/3757] lr: 1.000e-03 eta: 9:02:08 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 9.4554 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9362 loss: 0.9362 2022/06/30 11:16:51 - mmengine - INFO - Epoch(train) [69][1740/3757] lr: 1.000e-03 eta: 9:02:02 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 9.2715 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0931 loss: 1.0931 2022/06/30 11:16:57 - mmengine - INFO - Epoch(train) [69][1760/3757] lr: 1.000e-03 eta: 9:01:57 time: 0.281 data_time: 0.008 memory: 6404 grad_norm: 7.0948 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7830 loss: 1.7830 2022/06/30 11:17:02 - mmengine - INFO - Epoch(train) [69][1780/3757] lr: 1.000e-03 eta: 9:01:51 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 8.9550 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1477 loss: 1.1477 2022/06/30 11:17:08 - mmengine - INFO - Epoch(train) [69][1800/3757] lr: 1.000e-03 eta: 9:01:46 time: 0.391 data_time: 0.017 memory: 6404 grad_norm: 9.3295 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9358 loss: 0.9358 2022/06/30 11:17:14 - mmengine - INFO - Epoch(train) [69][1820/3757] lr: 1.000e-03 eta: 9:01:41 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 9.5931 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2497 loss: 1.2497 2022/06/30 11:17:19 - mmengine - INFO - Epoch(train) [69][1840/3757] lr: 1.000e-03 eta: 9:01:35 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 7.2412 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9989 loss: 0.9989 2022/06/30 11:17:25 - mmengine - INFO - Epoch(train) [69][1860/3757] lr: 1.000e-03 eta: 9:01:30 time: 0.854 data_time: 0.009 memory: 6404 grad_norm: 7.9034 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2981 loss: 1.2981 2022/06/30 11:17:30 - mmengine - INFO - Epoch(train) [69][1880/3757] lr: 1.000e-03 eta: 9:01:24 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 8.1234 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1347 loss: 1.1347 2022/06/30 11:17:37 - mmengine - INFO - Epoch(train) [69][1900/3757] lr: 1.000e-03 eta: 9:01:19 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 7.7656 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0293 loss: 1.0293 2022/06/30 11:17:42 - mmengine - INFO - Epoch(train) [69][1920/3757] lr: 1.000e-03 eta: 9:01:14 time: 0.280 data_time: 0.006 memory: 6404 grad_norm: 8.5808 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2757 loss: 1.2757 2022/06/30 11:17:48 - mmengine - INFO - Epoch(train) [69][1940/3757] lr: 1.000e-03 eta: 9:01:08 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 9.5762 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4959 loss: 1.4959 2022/06/30 11:17:53 - mmengine - INFO - Epoch(train) [69][1960/3757] lr: 1.000e-03 eta: 9:01:03 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 7.6430 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0981 loss: 1.0981 2022/06/30 11:17:58 - mmengine - INFO - Epoch(train) [69][1980/3757] lr: 1.000e-03 eta: 9:00:57 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 8.1236 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2904 loss: 1.2904 2022/06/30 11:18:04 - mmengine - INFO - Epoch(train) [69][2000/3757] lr: 1.000e-03 eta: 9:00:51 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 7.4016 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2200 loss: 1.2200 2022/06/30 11:18:09 - mmengine - INFO - Epoch(train) [69][2020/3757] lr: 1.000e-03 eta: 9:00:46 time: 0.271 data_time: 0.009 memory: 6404 grad_norm: 8.4296 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0844 loss: 1.0844 2022/06/30 11:18:14 - mmengine - INFO - Epoch(train) [69][2040/3757] lr: 1.000e-03 eta: 9:00:40 time: 0.266 data_time: 0.008 memory: 6404 grad_norm: 8.6517 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2345 loss: 1.2345 2022/06/30 11:18:20 - mmengine - INFO - Epoch(train) [69][2060/3757] lr: 1.000e-03 eta: 9:00:35 time: 0.262 data_time: 0.019 memory: 6404 grad_norm: 7.0859 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7808 loss: 0.7808 2022/06/30 11:18:25 - mmengine - INFO - Epoch(train) [69][2080/3757] lr: 1.000e-03 eta: 9:00:29 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 7.8003 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2280 loss: 1.2280 2022/06/30 11:18:30 - mmengine - INFO - Epoch(train) [69][2100/3757] lr: 1.000e-03 eta: 9:00:23 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.0520 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3492 loss: 1.3492 2022/06/30 11:18:36 - mmengine - INFO - Epoch(train) [69][2120/3757] lr: 1.000e-03 eta: 9:00:18 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 7.9021 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2737 loss: 1.2737 2022/06/30 11:18:42 - mmengine - INFO - Epoch(train) [69][2140/3757] lr: 1.000e-03 eta: 9:00:13 time: 0.281 data_time: 0.007 memory: 6404 grad_norm: 8.7237 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1869 loss: 1.1869 2022/06/30 11:18:47 - mmengine - INFO - Epoch(train) [69][2160/3757] lr: 1.000e-03 eta: 9:00:07 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 8.8747 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3125 loss: 1.3125 2022/06/30 11:18:53 - mmengine - INFO - Epoch(train) [69][2180/3757] lr: 1.000e-03 eta: 9:00:02 time: 0.273 data_time: 0.006 memory: 6404 grad_norm: 7.3571 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2350 loss: 1.2350 2022/06/30 11:18:58 - mmengine - INFO - Epoch(train) [69][2200/3757] lr: 1.000e-03 eta: 8:59:56 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 9.1712 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1541 loss: 1.1541 2022/06/30 11:19:03 - mmengine - INFO - Epoch(train) [69][2220/3757] lr: 1.000e-03 eta: 8:59:51 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 9.2052 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3022 loss: 1.3022 2022/06/30 11:19:09 - mmengine - INFO - Epoch(train) [69][2240/3757] lr: 1.000e-03 eta: 8:59:45 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 7.5218 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2547 loss: 1.2547 2022/06/30 11:19:15 - mmengine - INFO - Epoch(train) [69][2260/3757] lr: 1.000e-03 eta: 8:59:40 time: 0.734 data_time: 0.010 memory: 6404 grad_norm: 8.5667 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4930 loss: 1.4930 2022/06/30 11:19:20 - mmengine - INFO - Epoch(train) [69][2280/3757] lr: 1.000e-03 eta: 8:59:34 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 8.2160 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2641 loss: 1.2641 2022/06/30 11:19:26 - mmengine - INFO - Epoch(train) [69][2300/3757] lr: 1.000e-03 eta: 8:59:29 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 7.8915 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2961 loss: 1.2961 2022/06/30 11:19:31 - mmengine - INFO - Epoch(train) [69][2320/3757] lr: 1.000e-03 eta: 8:59:23 time: 0.259 data_time: 0.014 memory: 6404 grad_norm: 9.1075 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8087 loss: 0.8087 2022/06/30 11:19:36 - mmengine - INFO - Epoch(train) [69][2340/3757] lr: 1.000e-03 eta: 8:59:17 time: 0.258 data_time: 0.013 memory: 6404 grad_norm: 9.9215 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4042 loss: 1.4042 2022/06/30 11:19:42 - mmengine - INFO - Epoch(train) [69][2360/3757] lr: 1.000e-03 eta: 8:59:12 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.4005 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1241 loss: 1.1241 2022/06/30 11:19:47 - mmengine - INFO - Epoch(train) [69][2380/3757] lr: 1.000e-03 eta: 8:59:07 time: 0.579 data_time: 0.009 memory: 6404 grad_norm: 6.4235 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0498 loss: 1.0498 2022/06/30 11:19:52 - mmengine - INFO - Epoch(train) [69][2400/3757] lr: 1.000e-03 eta: 8:59:01 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 7.2390 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2776 loss: 1.2776 2022/06/30 11:19:58 - mmengine - INFO - Epoch(train) [69][2420/3757] lr: 1.000e-03 eta: 8:58:56 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.7562 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9616 loss: 0.9616 2022/06/30 11:20:04 - mmengine - INFO - Epoch(train) [69][2440/3757] lr: 1.000e-03 eta: 8:58:50 time: 0.809 data_time: 0.009 memory: 6404 grad_norm: 7.4039 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0844 loss: 1.0844 2022/06/30 11:20:10 - mmengine - INFO - Epoch(train) [69][2460/3757] lr: 1.000e-03 eta: 8:58:45 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 6.4556 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1797 loss: 1.1797 2022/06/30 11:20:15 - mmengine - INFO - Epoch(train) [69][2480/3757] lr: 1.000e-03 eta: 8:58:39 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 7.9410 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4029 loss: 1.4029 2022/06/30 11:20:20 - mmengine - INFO - Epoch(train) [69][2500/3757] lr: 1.000e-03 eta: 8:58:33 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 8.0292 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1914 loss: 1.1914 2022/06/30 11:20:25 - mmengine - INFO - Epoch(train) [69][2520/3757] lr: 1.000e-03 eta: 8:58:28 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 7.5177 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3209 loss: 1.3209 2022/06/30 11:20:26 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 11:20:31 - mmengine - INFO - Epoch(train) [69][2540/3757] lr: 1.000e-03 eta: 8:58:23 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 7.9065 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9510 loss: 0.9510 2022/06/30 11:20:36 - mmengine - INFO - Epoch(train) [69][2560/3757] lr: 1.000e-03 eta: 8:58:17 time: 0.250 data_time: 0.019 memory: 6404 grad_norm: 7.1265 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1926 loss: 1.1926 2022/06/30 11:20:41 - mmengine - INFO - Epoch(train) [69][2580/3757] lr: 1.000e-03 eta: 8:58:11 time: 0.421 data_time: 0.006 memory: 6404 grad_norm: 8.2555 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5206 loss: 1.5206 2022/06/30 11:20:47 - mmengine - INFO - Epoch(train) [69][2600/3757] lr: 1.000e-03 eta: 8:58:06 time: 0.774 data_time: 0.009 memory: 6404 grad_norm: 8.2176 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1581 loss: 1.1581 2022/06/30 11:20:53 - mmengine - INFO - Epoch(train) [69][2620/3757] lr: 1.000e-03 eta: 8:58:00 time: 0.331 data_time: 0.015 memory: 6404 grad_norm: 7.0621 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2284 loss: 1.2284 2022/06/30 11:20:58 - mmengine - INFO - Epoch(train) [69][2640/3757] lr: 1.000e-03 eta: 8:57:55 time: 0.270 data_time: 0.007 memory: 6404 grad_norm: 7.0884 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1716 loss: 1.1716 2022/06/30 11:21:03 - mmengine - INFO - Epoch(train) [69][2660/3757] lr: 1.000e-03 eta: 8:57:49 time: 0.254 data_time: 0.016 memory: 6404 grad_norm: 7.2394 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3093 loss: 1.3093 2022/06/30 11:21:09 - mmengine - INFO - Epoch(train) [69][2680/3757] lr: 1.000e-03 eta: 8:57:44 time: 0.610 data_time: 0.009 memory: 6404 grad_norm: 7.3960 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3303 loss: 1.3303 2022/06/30 11:21:15 - mmengine - INFO - Epoch(train) [69][2700/3757] lr: 1.000e-03 eta: 8:57:38 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 9.1434 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0527 loss: 1.0527 2022/06/30 11:21:20 - mmengine - INFO - Epoch(train) [69][2720/3757] lr: 1.000e-03 eta: 8:57:33 time: 0.246 data_time: 0.013 memory: 6404 grad_norm: 9.3302 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0885 loss: 1.0885 2022/06/30 11:21:27 - mmengine - INFO - Epoch(train) [69][2740/3757] lr: 1.000e-03 eta: 8:57:28 time: 0.311 data_time: 0.007 memory: 6404 grad_norm: 7.2068 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4081 loss: 1.4081 2022/06/30 11:21:32 - mmengine - INFO - Epoch(train) [69][2760/3757] lr: 1.000e-03 eta: 8:57:22 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 6.2747 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2462 loss: 1.2462 2022/06/30 11:21:37 - mmengine - INFO - Epoch(train) [69][2780/3757] lr: 1.000e-03 eta: 8:57:17 time: 0.300 data_time: 0.059 memory: 6404 grad_norm: 8.2654 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2263 loss: 1.2263 2022/06/30 11:21:43 - mmengine - INFO - Epoch(train) [69][2800/3757] lr: 1.000e-03 eta: 8:57:11 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 9.4452 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4534 loss: 1.4534 2022/06/30 11:21:48 - mmengine - INFO - Epoch(train) [69][2820/3757] lr: 1.000e-03 eta: 8:57:06 time: 0.280 data_time: 0.014 memory: 6404 grad_norm: 7.5515 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2947 loss: 1.2947 2022/06/30 11:21:53 - mmengine - INFO - Epoch(train) [69][2840/3757] lr: 1.000e-03 eta: 8:57:00 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 7.7439 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8825 loss: 0.8825 2022/06/30 11:21:59 - mmengine - INFO - Epoch(train) [69][2860/3757] lr: 1.000e-03 eta: 8:56:54 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 8.1195 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3877 loss: 1.3877 2022/06/30 11:22:04 - mmengine - INFO - Epoch(train) [69][2880/3757] lr: 1.000e-03 eta: 8:56:49 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 7.5588 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1852 loss: 1.1852 2022/06/30 11:22:09 - mmengine - INFO - Epoch(train) [69][2900/3757] lr: 1.000e-03 eta: 8:56:43 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 9.1982 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4299 loss: 1.4299 2022/06/30 11:22:15 - mmengine - INFO - Epoch(train) [69][2920/3757] lr: 1.000e-03 eta: 8:56:38 time: 0.253 data_time: 0.017 memory: 6404 grad_norm: 6.5634 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0554 loss: 1.0554 2022/06/30 11:22:21 - mmengine - INFO - Epoch(train) [69][2940/3757] lr: 1.000e-03 eta: 8:56:32 time: 0.286 data_time: 0.015 memory: 6404 grad_norm: 8.2580 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2613 loss: 1.2613 2022/06/30 11:22:26 - mmengine - INFO - Epoch(train) [69][2960/3757] lr: 1.000e-03 eta: 8:56:27 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 10.0652 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2075 loss: 1.2075 2022/06/30 11:22:31 - mmengine - INFO - Epoch(train) [69][2980/3757] lr: 1.000e-03 eta: 8:56:21 time: 0.249 data_time: 0.019 memory: 6404 grad_norm: 9.1025 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1935 loss: 1.1935 2022/06/30 11:22:37 - mmengine - INFO - Epoch(train) [69][3000/3757] lr: 1.000e-03 eta: 8:56:16 time: 0.326 data_time: 0.009 memory: 6404 grad_norm: 8.3879 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3282 loss: 1.3282 2022/06/30 11:22:42 - mmengine - INFO - Epoch(train) [69][3020/3757] lr: 1.000e-03 eta: 8:56:10 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 7.6782 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0404 loss: 1.0404 2022/06/30 11:22:48 - mmengine - INFO - Epoch(train) [69][3040/3757] lr: 1.000e-03 eta: 8:56:05 time: 0.320 data_time: 0.011 memory: 6404 grad_norm: 7.9128 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9295 loss: 0.9295 2022/06/30 11:22:53 - mmengine - INFO - Epoch(train) [69][3060/3757] lr: 1.000e-03 eta: 8:55:59 time: 0.259 data_time: 0.013 memory: 6404 grad_norm: 8.4653 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1585 loss: 1.1585 2022/06/30 11:22:59 - mmengine - INFO - Epoch(train) [69][3080/3757] lr: 1.000e-03 eta: 8:55:54 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 8.1160 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5761 loss: 1.5761 2022/06/30 11:23:04 - mmengine - INFO - Epoch(train) [69][3100/3757] lr: 1.000e-03 eta: 8:55:48 time: 0.274 data_time: 0.011 memory: 6404 grad_norm: 8.7867 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1301 loss: 1.1301 2022/06/30 11:23:10 - mmengine - INFO - Epoch(train) [69][3120/3757] lr: 1.000e-03 eta: 8:55:43 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 7.8556 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0425 loss: 1.0425 2022/06/30 11:23:16 - mmengine - INFO - Epoch(train) [69][3140/3757] lr: 1.000e-03 eta: 8:55:38 time: 0.456 data_time: 0.006 memory: 6404 grad_norm: 7.7915 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1134 loss: 1.1134 2022/06/30 11:23:21 - mmengine - INFO - Epoch(train) [69][3160/3757] lr: 1.000e-03 eta: 8:55:32 time: 0.284 data_time: 0.008 memory: 6404 grad_norm: 6.5815 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0370 loss: 1.0370 2022/06/30 11:23:26 - mmengine - INFO - Epoch(train) [69][3180/3757] lr: 1.000e-03 eta: 8:55:26 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 8.8627 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1121 loss: 1.1121 2022/06/30 11:23:32 - mmengine - INFO - Epoch(train) [69][3200/3757] lr: 1.000e-03 eta: 8:55:21 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 10.4164 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.5616 loss: 1.5616 2022/06/30 11:23:37 - mmengine - INFO - Epoch(train) [69][3220/3757] lr: 1.000e-03 eta: 8:55:15 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 8.1586 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2335 loss: 1.2335 2022/06/30 11:23:43 - mmengine - INFO - Epoch(train) [69][3240/3757] lr: 1.000e-03 eta: 8:55:10 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 9.7056 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9837 loss: 0.9837 2022/06/30 11:23:48 - mmengine - INFO - Epoch(train) [69][3260/3757] lr: 1.000e-03 eta: 8:55:04 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 8.1203 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9273 loss: 0.9273 2022/06/30 11:23:54 - mmengine - INFO - Epoch(train) [69][3280/3757] lr: 1.000e-03 eta: 8:54:59 time: 0.271 data_time: 0.008 memory: 6404 grad_norm: 9.4443 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3529 loss: 1.3529 2022/06/30 11:23:59 - mmengine - INFO - Epoch(train) [69][3300/3757] lr: 1.000e-03 eta: 8:54:53 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 8.9289 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.3120 loss: 1.3120 2022/06/30 11:24:05 - mmengine - INFO - Epoch(train) [69][3320/3757] lr: 1.000e-03 eta: 8:54:48 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 8.3050 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9708 loss: 0.9708 2022/06/30 11:24:10 - mmengine - INFO - Epoch(train) [69][3340/3757] lr: 1.000e-03 eta: 8:54:42 time: 0.282 data_time: 0.011 memory: 6404 grad_norm: 8.3881 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3345 loss: 1.3345 2022/06/30 11:24:15 - mmengine - INFO - Epoch(train) [69][3360/3757] lr: 1.000e-03 eta: 8:54:37 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 7.2796 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2444 loss: 1.2444 2022/06/30 11:24:21 - mmengine - INFO - Epoch(train) [69][3380/3757] lr: 1.000e-03 eta: 8:54:31 time: 0.284 data_time: 0.014 memory: 6404 grad_norm: 8.5399 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3124 loss: 1.3124 2022/06/30 11:24:26 - mmengine - INFO - Epoch(train) [69][3400/3757] lr: 1.000e-03 eta: 8:54:26 time: 0.617 data_time: 0.019 memory: 6404 grad_norm: 7.0261 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0851 loss: 1.0851 2022/06/30 11:24:32 - mmengine - INFO - Epoch(train) [69][3420/3757] lr: 1.000e-03 eta: 8:54:20 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 7.8386 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4209 loss: 1.4209 2022/06/30 11:24:38 - mmengine - INFO - Epoch(train) [69][3440/3757] lr: 1.000e-03 eta: 8:54:15 time: 0.268 data_time: 0.055 memory: 6404 grad_norm: 9.0512 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4976 loss: 1.4976 2022/06/30 11:24:43 - mmengine - INFO - Epoch(train) [69][3460/3757] lr: 1.000e-03 eta: 8:54:09 time: 0.523 data_time: 0.008 memory: 6404 grad_norm: 7.5219 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5045 loss: 1.5045 2022/06/30 11:24:48 - mmengine - INFO - Epoch(train) [69][3480/3757] lr: 1.000e-03 eta: 8:54:04 time: 0.264 data_time: 0.009 memory: 6404 grad_norm: 8.1938 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0314 loss: 1.0314 2022/06/30 11:24:54 - mmengine - INFO - Epoch(train) [69][3500/3757] lr: 1.000e-03 eta: 8:53:58 time: 0.421 data_time: 0.013 memory: 6404 grad_norm: 8.1045 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3607 loss: 1.3607 2022/06/30 11:24:59 - mmengine - INFO - Epoch(train) [69][3520/3757] lr: 1.000e-03 eta: 8:53:53 time: 0.283 data_time: 0.014 memory: 6404 grad_norm: 5.9614 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1872 loss: 1.1872 2022/06/30 11:25:00 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 11:25:04 - mmengine - INFO - Epoch(train) [69][3540/3757] lr: 1.000e-03 eta: 8:53:47 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 6.4202 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6904 loss: 0.6904 2022/06/30 11:25:10 - mmengine - INFO - Epoch(train) [69][3560/3757] lr: 1.000e-03 eta: 8:53:42 time: 0.265 data_time: 0.023 memory: 6404 grad_norm: 7.6517 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5855 loss: 1.5855 2022/06/30 11:25:16 - mmengine - INFO - Epoch(train) [69][3580/3757] lr: 1.000e-03 eta: 8:53:36 time: 0.290 data_time: 0.023 memory: 6404 grad_norm: 7.4812 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8439 loss: 0.8439 2022/06/30 11:25:21 - mmengine - INFO - Epoch(train) [69][3600/3757] lr: 1.000e-03 eta: 8:53:31 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 9.0315 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0518 loss: 1.0518 2022/06/30 11:25:26 - mmengine - INFO - Epoch(train) [69][3620/3757] lr: 1.000e-03 eta: 8:53:25 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 8.3235 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1578 loss: 1.1578 2022/06/30 11:25:32 - mmengine - INFO - Epoch(train) [69][3640/3757] lr: 1.000e-03 eta: 8:53:20 time: 0.249 data_time: 0.016 memory: 6404 grad_norm: 7.3265 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9444 loss: 0.9444 2022/06/30 11:25:37 - mmengine - INFO - Epoch(train) [69][3660/3757] lr: 1.000e-03 eta: 8:53:14 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 6.5859 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1994 loss: 1.1994 2022/06/30 11:25:43 - mmengine - INFO - Epoch(train) [69][3680/3757] lr: 1.000e-03 eta: 8:53:09 time: 0.249 data_time: 0.023 memory: 6404 grad_norm: 6.9348 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2769 loss: 1.2769 2022/06/30 11:25:48 - mmengine - INFO - Epoch(train) [69][3700/3757] lr: 1.000e-03 eta: 8:53:03 time: 0.261 data_time: 0.012 memory: 6404 grad_norm: 8.0300 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2847 loss: 1.2847 2022/06/30 11:25:54 - mmengine - INFO - Epoch(train) [69][3720/3757] lr: 1.000e-03 eta: 8:52:58 time: 0.276 data_time: 0.008 memory: 6404 grad_norm: 8.8954 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1490 loss: 1.1490 2022/06/30 11:26:00 - mmengine - INFO - Epoch(train) [69][3740/3757] lr: 1.000e-03 eta: 8:52:52 time: 0.247 data_time: 0.043 memory: 6404 grad_norm: 6.7715 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0255 loss: 1.0255 2022/06/30 11:26:04 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 11:26:11 - mmengine - INFO - Epoch(val) [69][20/310] eta: 0:01:26 time: 0.092 data_time: 0.010 memory: 6404 2022/06/30 11:26:17 - mmengine - INFO - Epoch(val) [69][40/310] eta: 0:01:22 time: 0.284 data_time: 0.199 memory: 1479 2022/06/30 11:26:20 - mmengine - INFO - Epoch(val) [69][60/310] eta: 0:00:24 time: 0.096 data_time: 0.010 memory: 1479 2022/06/30 11:26:27 - mmengine - INFO - Epoch(val) [69][80/310] eta: 0:01:17 time: 0.102 data_time: 0.009 memory: 1479 2022/06/30 11:26:33 - mmengine - INFO - Epoch(val) [69][100/310] eta: 0:01:02 time: 0.687 data_time: 0.600 memory: 1479 2022/06/30 11:26:36 - mmengine - INFO - Epoch(val) [69][120/310] eta: 0:00:27 time: 0.088 data_time: 0.007 memory: 1479 2022/06/30 11:26:43 - mmengine - INFO - Epoch(val) [69][140/310] eta: 0:00:53 time: 0.082 data_time: 0.005 memory: 1479 2022/06/30 11:26:49 - mmengine - INFO - Epoch(val) [69][160/310] eta: 0:00:45 time: 1.837 data_time: 1.756 memory: 1479 2022/06/30 11:26:53 - mmengine - INFO - Epoch(val) [69][180/310] eta: 0:00:39 time: 0.080 data_time: 0.005 memory: 1479 2022/06/30 11:26:59 - mmengine - INFO - Epoch(val) [69][200/310] eta: 0:00:33 time: 0.080 data_time: 0.005 memory: 1479 2022/06/30 11:27:05 - mmengine - INFO - Epoch(val) [69][220/310] eta: 0:00:26 time: 1.344 data_time: 1.256 memory: 1479 2022/06/30 11:27:08 - mmengine - INFO - Epoch(val) [69][240/310] eta: 0:00:20 time: 0.084 data_time: 0.005 memory: 1479 2022/06/30 11:27:14 - mmengine - INFO - Epoch(val) [69][260/310] eta: 0:00:14 time: 0.080 data_time: 0.005 memory: 1479 2022/06/30 11:27:20 - mmengine - INFO - Epoch(val) [69][280/310] eta: 0:00:08 time: 0.946 data_time: 0.859 memory: 1479 2022/06/30 11:27:24 - mmengine - INFO - Epoch(val) [69][300/310] eta: 0:00:02 time: 0.080 data_time: 0.005 memory: 1479 2022/06/30 11:27:26 - mmengine - INFO - Epoch(val) [69][310/310] acc/top1: 0.6659 acc/top5: 0.8669 acc/mean1: 0.6658 2022/06/30 11:27:35 - mmengine - INFO - Epoch(train) [70][20/3757] lr: 1.000e-03 eta: 8:52:43 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.1086 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0591 loss: 1.0591 2022/06/30 11:27:41 - mmengine - INFO - Epoch(train) [70][40/3757] lr: 1.000e-03 eta: 8:52:37 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.1505 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1636 loss: 1.1636 2022/06/30 11:27:47 - mmengine - INFO - Epoch(train) [70][60/3757] lr: 1.000e-03 eta: 8:52:32 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 8.1047 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0206 loss: 1.0206 2022/06/30 11:27:52 - mmengine - INFO - Epoch(train) [70][80/3757] lr: 1.000e-03 eta: 8:52:26 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 9.0876 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2138 loss: 1.2138 2022/06/30 11:27:58 - mmengine - INFO - Epoch(train) [70][100/3757] lr: 1.000e-03 eta: 8:52:21 time: 0.281 data_time: 0.010 memory: 6404 grad_norm: 7.2828 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2423 loss: 1.2423 2022/06/30 11:28:03 - mmengine - INFO - Epoch(train) [70][120/3757] lr: 1.000e-03 eta: 8:52:15 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 6.7800 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1946 loss: 1.1946 2022/06/30 11:28:09 - mmengine - INFO - Epoch(train) [70][140/3757] lr: 1.000e-03 eta: 8:52:10 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 8.3485 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8193 loss: 0.8193 2022/06/30 11:28:14 - mmengine - INFO - Epoch(train) [70][160/3757] lr: 1.000e-03 eta: 8:52:04 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 8.0842 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2873 loss: 1.2873 2022/06/30 11:28:20 - mmengine - INFO - Epoch(train) [70][180/3757] lr: 1.000e-03 eta: 8:51:59 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.0722 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0463 loss: 1.0463 2022/06/30 11:28:25 - mmengine - INFO - Epoch(train) [70][200/3757] lr: 1.000e-03 eta: 8:51:53 time: 0.255 data_time: 0.021 memory: 6404 grad_norm: 10.1231 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2341 loss: 1.2341 2022/06/30 11:28:31 - mmengine - INFO - Epoch(train) [70][220/3757] lr: 1.000e-03 eta: 8:51:48 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 9.2045 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5327 loss: 1.5327 2022/06/30 11:28:36 - mmengine - INFO - Epoch(train) [70][240/3757] lr: 1.000e-03 eta: 8:51:42 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.6894 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0780 loss: 1.0780 2022/06/30 11:28:42 - mmengine - INFO - Epoch(train) [70][260/3757] lr: 1.000e-03 eta: 8:51:37 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 9.0318 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2678 loss: 1.2678 2022/06/30 11:28:47 - mmengine - INFO - Epoch(train) [70][280/3757] lr: 1.000e-03 eta: 8:51:31 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 8.2278 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3331 loss: 1.3331 2022/06/30 11:28:53 - mmengine - INFO - Epoch(train) [70][300/3757] lr: 1.000e-03 eta: 8:51:26 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 7.9045 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1675 loss: 1.1675 2022/06/30 11:28:58 - mmengine - INFO - Epoch(train) [70][320/3757] lr: 1.000e-03 eta: 8:51:20 time: 0.244 data_time: 0.016 memory: 6404 grad_norm: 7.4411 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2977 loss: 1.2977 2022/06/30 11:29:03 - mmengine - INFO - Epoch(train) [70][340/3757] lr: 1.000e-03 eta: 8:51:15 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 7.6271 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2673 loss: 1.2673 2022/06/30 11:29:09 - mmengine - INFO - Epoch(train) [70][360/3757] lr: 1.000e-03 eta: 8:51:09 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.6911 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1603 loss: 1.1603 2022/06/30 11:29:14 - mmengine - INFO - Epoch(train) [70][380/3757] lr: 1.000e-03 eta: 8:51:04 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 7.7854 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1895 loss: 1.1895 2022/06/30 11:29:19 - mmengine - INFO - Epoch(train) [70][400/3757] lr: 1.000e-03 eta: 8:50:58 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 7.5716 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2659 loss: 1.2659 2022/06/30 11:29:24 - mmengine - INFO - Epoch(train) [70][420/3757] lr: 1.000e-03 eta: 8:50:52 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.1181 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1199 loss: 1.1199 2022/06/30 11:29:30 - mmengine - INFO - Epoch(train) [70][440/3757] lr: 1.000e-03 eta: 8:50:47 time: 0.265 data_time: 0.015 memory: 6404 grad_norm: 8.3260 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2479 loss: 1.2479 2022/06/30 11:29:36 - mmengine - INFO - Epoch(train) [70][460/3757] lr: 1.000e-03 eta: 8:50:42 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 8.9751 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8802 loss: 0.8802 2022/06/30 11:29:42 - mmengine - INFO - Epoch(train) [70][480/3757] lr: 1.000e-03 eta: 8:50:36 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 7.3192 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1496 loss: 1.1496 2022/06/30 11:29:47 - mmengine - INFO - Epoch(train) [70][500/3757] lr: 1.000e-03 eta: 8:50:31 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 8.8123 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2963 loss: 1.2963 2022/06/30 11:29:52 - mmengine - INFO - Epoch(train) [70][520/3757] lr: 1.000e-03 eta: 8:50:25 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 8.2160 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1131 loss: 1.1131 2022/06/30 11:29:58 - mmengine - INFO - Epoch(train) [70][540/3757] lr: 1.000e-03 eta: 8:50:19 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 7.9028 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3108 loss: 1.3108 2022/06/30 11:30:03 - mmengine - INFO - Epoch(train) [70][560/3757] lr: 1.000e-03 eta: 8:50:14 time: 0.261 data_time: 0.012 memory: 6404 grad_norm: 8.1871 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3951 loss: 1.3951 2022/06/30 11:30:08 - mmengine - INFO - Epoch(train) [70][580/3757] lr: 1.000e-03 eta: 8:50:08 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 9.6361 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1739 loss: 1.1739 2022/06/30 11:30:14 - mmengine - INFO - Epoch(train) [70][600/3757] lr: 1.000e-03 eta: 8:50:03 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.7662 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0886 loss: 1.0886 2022/06/30 11:30:20 - mmengine - INFO - Epoch(train) [70][620/3757] lr: 1.000e-03 eta: 8:49:58 time: 0.264 data_time: 0.025 memory: 6404 grad_norm: 8.2778 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3235 loss: 1.3235 2022/06/30 11:30:26 - mmengine - INFO - Epoch(train) [70][640/3757] lr: 1.000e-03 eta: 8:49:52 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 7.3405 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2430 loss: 1.2430 2022/06/30 11:30:32 - mmengine - INFO - Epoch(train) [70][660/3757] lr: 1.000e-03 eta: 8:49:47 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.4133 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2583 loss: 1.2583 2022/06/30 11:30:37 - mmengine - INFO - Epoch(train) [70][680/3757] lr: 1.000e-03 eta: 8:49:41 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 6.6613 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5153 loss: 1.5153 2022/06/30 11:30:43 - mmengine - INFO - Epoch(train) [70][700/3757] lr: 1.000e-03 eta: 8:49:36 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 7.0588 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9567 loss: 0.9567 2022/06/30 11:30:49 - mmengine - INFO - Epoch(train) [70][720/3757] lr: 1.000e-03 eta: 8:49:31 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 8.4127 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2767 loss: 1.2767 2022/06/30 11:30:54 - mmengine - INFO - Epoch(train) [70][740/3757] lr: 1.000e-03 eta: 8:49:25 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 10.1004 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2112 loss: 1.2112 2022/06/30 11:30:59 - mmengine - INFO - Epoch(train) [70][760/3757] lr: 1.000e-03 eta: 8:49:19 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 7.9643 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4935 loss: 1.4935 2022/06/30 11:31:01 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 11:31:04 - mmengine - INFO - Epoch(train) [70][780/3757] lr: 1.000e-03 eta: 8:49:14 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.2097 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3632 loss: 1.3632 2022/06/30 11:31:09 - mmengine - INFO - Epoch(train) [70][800/3757] lr: 1.000e-03 eta: 8:49:08 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 7.8762 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0015 loss: 1.0015 2022/06/30 11:31:15 - mmengine - INFO - Epoch(train) [70][820/3757] lr: 1.000e-03 eta: 8:49:03 time: 0.260 data_time: 0.013 memory: 6404 grad_norm: 8.2739 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2338 loss: 1.2338 2022/06/30 11:31:20 - mmengine - INFO - Epoch(train) [70][840/3757] lr: 1.000e-03 eta: 8:48:57 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.5934 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0788 loss: 1.0788 2022/06/30 11:31:26 - mmengine - INFO - Epoch(train) [70][860/3757] lr: 1.000e-03 eta: 8:48:52 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 9.8161 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0270 loss: 1.0270 2022/06/30 11:31:31 - mmengine - INFO - Epoch(train) [70][880/3757] lr: 1.000e-03 eta: 8:48:46 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 9.5444 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5291 loss: 1.5291 2022/06/30 11:31:37 - mmengine - INFO - Epoch(train) [70][900/3757] lr: 1.000e-03 eta: 8:48:41 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 9.5463 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0146 loss: 1.0146 2022/06/30 11:31:42 - mmengine - INFO - Epoch(train) [70][920/3757] lr: 1.000e-03 eta: 8:48:35 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 8.1018 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0850 loss: 1.0850 2022/06/30 11:31:48 - mmengine - INFO - Epoch(train) [70][940/3757] lr: 1.000e-03 eta: 8:48:30 time: 0.325 data_time: 0.051 memory: 6404 grad_norm: 9.5746 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2557 loss: 1.2557 2022/06/30 11:31:54 - mmengine - INFO - Epoch(train) [70][960/3757] lr: 1.000e-03 eta: 8:48:24 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 8.3698 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9628 loss: 0.9628 2022/06/30 11:32:00 - mmengine - INFO - Epoch(train) [70][980/3757] lr: 1.000e-03 eta: 8:48:19 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 7.8046 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3245 loss: 1.3245 2022/06/30 11:32:05 - mmengine - INFO - Epoch(train) [70][1000/3757] lr: 1.000e-03 eta: 8:48:13 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.8069 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2036 loss: 1.2036 2022/06/30 11:32:10 - mmengine - INFO - Epoch(train) [70][1020/3757] lr: 1.000e-03 eta: 8:48:08 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.1387 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1067 loss: 1.1067 2022/06/30 11:32:16 - mmengine - INFO - Epoch(train) [70][1040/3757] lr: 1.000e-03 eta: 8:48:02 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 9.3552 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0948 loss: 1.0948 2022/06/30 11:32:21 - mmengine - INFO - Epoch(train) [70][1060/3757] lr: 1.000e-03 eta: 8:47:57 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.6607 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0467 loss: 1.0467 2022/06/30 11:32:27 - mmengine - INFO - Epoch(train) [70][1080/3757] lr: 1.000e-03 eta: 8:47:52 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 8.9319 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0335 loss: 1.0335 2022/06/30 11:32:33 - mmengine - INFO - Epoch(train) [70][1100/3757] lr: 1.000e-03 eta: 8:47:46 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 7.0611 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1234 loss: 1.1234 2022/06/30 11:32:38 - mmengine - INFO - Epoch(train) [70][1120/3757] lr: 1.000e-03 eta: 8:47:41 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.6071 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1366 loss: 1.1366 2022/06/30 11:32:44 - mmengine - INFO - Epoch(train) [70][1140/3757] lr: 1.000e-03 eta: 8:47:35 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 8.9083 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0635 loss: 1.0635 2022/06/30 11:32:49 - mmengine - INFO - Epoch(train) [70][1160/3757] lr: 1.000e-03 eta: 8:47:30 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 7.8983 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1138 loss: 1.1138 2022/06/30 11:32:54 - mmengine - INFO - Epoch(train) [70][1180/3757] lr: 1.000e-03 eta: 8:47:24 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 8.5476 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8096 loss: 0.8096 2022/06/30 11:33:00 - mmengine - INFO - Epoch(train) [70][1200/3757] lr: 1.000e-03 eta: 8:47:19 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 8.2599 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1240 loss: 1.1240 2022/06/30 11:33:06 - mmengine - INFO - Epoch(train) [70][1220/3757] lr: 1.000e-03 eta: 8:47:13 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 8.4593 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0610 loss: 1.0610 2022/06/30 11:33:11 - mmengine - INFO - Epoch(train) [70][1240/3757] lr: 1.000e-03 eta: 8:47:08 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.6647 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2013 loss: 1.2013 2022/06/30 11:33:16 - mmengine - INFO - Epoch(train) [70][1260/3757] lr: 1.000e-03 eta: 8:47:02 time: 0.279 data_time: 0.007 memory: 6404 grad_norm: 7.9470 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0488 loss: 1.0488 2022/06/30 11:33:22 - mmengine - INFO - Epoch(train) [70][1280/3757] lr: 1.000e-03 eta: 8:46:57 time: 0.261 data_time: 0.012 memory: 6404 grad_norm: 7.9953 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2456 loss: 1.2456 2022/06/30 11:33:27 - mmengine - INFO - Epoch(train) [70][1300/3757] lr: 1.000e-03 eta: 8:46:51 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 8.7022 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4093 loss: 1.4093 2022/06/30 11:33:33 - mmengine - INFO - Epoch(train) [70][1320/3757] lr: 1.000e-03 eta: 8:46:46 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 7.3681 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2345 loss: 1.2345 2022/06/30 11:33:38 - mmengine - INFO - Epoch(train) [70][1340/3757] lr: 1.000e-03 eta: 8:46:40 time: 0.310 data_time: 0.013 memory: 6404 grad_norm: 7.1064 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3431 loss: 1.3431 2022/06/30 11:33:44 - mmengine - INFO - Epoch(train) [70][1360/3757] lr: 1.000e-03 eta: 8:46:35 time: 0.276 data_time: 0.018 memory: 6404 grad_norm: 8.1030 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1547 loss: 1.1547 2022/06/30 11:33:49 - mmengine - INFO - Epoch(train) [70][1380/3757] lr: 1.000e-03 eta: 8:46:29 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 8.7801 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2973 loss: 1.2973 2022/06/30 11:33:55 - mmengine - INFO - Epoch(train) [70][1400/3757] lr: 1.000e-03 eta: 8:46:24 time: 0.439 data_time: 0.007 memory: 6404 grad_norm: 7.6333 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4370 loss: 1.4370 2022/06/30 11:34:01 - mmengine - INFO - Epoch(train) [70][1420/3757] lr: 1.000e-03 eta: 8:46:18 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.2483 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2766 loss: 1.2766 2022/06/30 11:34:06 - mmengine - INFO - Epoch(train) [70][1440/3757] lr: 1.000e-03 eta: 8:46:13 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 8.6936 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3696 loss: 1.3696 2022/06/30 11:34:12 - mmengine - INFO - Epoch(train) [70][1460/3757] lr: 1.000e-03 eta: 8:46:07 time: 0.294 data_time: 0.007 memory: 6404 grad_norm: 8.1186 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1791 loss: 1.1791 2022/06/30 11:34:17 - mmengine - INFO - Epoch(train) [70][1480/3757] lr: 1.000e-03 eta: 8:46:02 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 8.4557 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0576 loss: 1.0576 2022/06/30 11:34:22 - mmengine - INFO - Epoch(train) [70][1500/3757] lr: 1.000e-03 eta: 8:45:56 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 7.8079 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0025 loss: 1.0025 2022/06/30 11:34:27 - mmengine - INFO - Epoch(train) [70][1520/3757] lr: 1.000e-03 eta: 8:45:50 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 9.7209 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1736 loss: 1.1736 2022/06/30 11:34:32 - mmengine - INFO - Epoch(train) [70][1540/3757] lr: 1.000e-03 eta: 8:45:45 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 8.3858 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2641 loss: 1.2641 2022/06/30 11:34:38 - mmengine - INFO - Epoch(train) [70][1560/3757] lr: 1.000e-03 eta: 8:45:39 time: 0.727 data_time: 0.462 memory: 6404 grad_norm: 7.9138 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1632 loss: 1.1632 2022/06/30 11:34:44 - mmengine - INFO - Epoch(train) [70][1580/3757] lr: 1.000e-03 eta: 8:45:34 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 8.3557 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1749 loss: 1.1749 2022/06/30 11:34:49 - mmengine - INFO - Epoch(train) [70][1600/3757] lr: 1.000e-03 eta: 8:45:28 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 9.4236 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2379 loss: 1.2379 2022/06/30 11:34:55 - mmengine - INFO - Epoch(train) [70][1620/3757] lr: 1.000e-03 eta: 8:45:23 time: 0.251 data_time: 0.015 memory: 6404 grad_norm: 8.2401 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0290 loss: 1.0290 2022/06/30 11:35:01 - mmengine - INFO - Epoch(train) [70][1640/3757] lr: 1.000e-03 eta: 8:45:18 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 6.9735 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1900 loss: 1.1900 2022/06/30 11:35:06 - mmengine - INFO - Epoch(train) [70][1660/3757] lr: 1.000e-03 eta: 8:45:12 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 8.4134 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0170 loss: 1.0170 2022/06/30 11:35:12 - mmengine - INFO - Epoch(train) [70][1680/3757] lr: 1.000e-03 eta: 8:45:07 time: 0.386 data_time: 0.014 memory: 6404 grad_norm: 6.7495 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0882 loss: 1.0882 2022/06/30 11:35:17 - mmengine - INFO - Epoch(train) [70][1700/3757] lr: 1.000e-03 eta: 8:45:01 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 5.9011 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9749 loss: 0.9749 2022/06/30 11:35:23 - mmengine - INFO - Epoch(train) [70][1720/3757] lr: 1.000e-03 eta: 8:44:56 time: 0.273 data_time: 0.008 memory: 6404 grad_norm: 6.6344 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1229 loss: 1.1229 2022/06/30 11:35:29 - mmengine - INFO - Epoch(train) [70][1740/3757] lr: 1.000e-03 eta: 8:44:51 time: 0.260 data_time: 0.014 memory: 6404 grad_norm: 8.9168 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2758 loss: 1.2758 2022/06/30 11:35:35 - mmengine - INFO - Epoch(train) [70][1760/3757] lr: 1.000e-03 eta: 8:44:45 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.3812 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2024 loss: 1.2024 2022/06/30 11:35:36 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 11:35:40 - mmengine - INFO - Epoch(train) [70][1780/3757] lr: 1.000e-03 eta: 8:44:39 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 9.1148 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9326 loss: 0.9326 2022/06/30 11:35:45 - mmengine - INFO - Epoch(train) [70][1800/3757] lr: 1.000e-03 eta: 8:44:34 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 7.3571 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5181 loss: 1.5181 2022/06/30 11:35:50 - mmengine - INFO - Epoch(train) [70][1820/3757] lr: 1.000e-03 eta: 8:44:28 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 8.5910 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9169 loss: 0.9169 2022/06/30 11:35:55 - mmengine - INFO - Epoch(train) [70][1840/3757] lr: 1.000e-03 eta: 8:44:23 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 6.9998 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2164 loss: 1.2164 2022/06/30 11:36:02 - mmengine - INFO - Epoch(train) [70][1860/3757] lr: 1.000e-03 eta: 8:44:17 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 8.0834 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1951 loss: 1.1951 2022/06/30 11:36:08 - mmengine - INFO - Epoch(train) [70][1880/3757] lr: 1.000e-03 eta: 8:44:12 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 7.8722 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3891 loss: 1.3891 2022/06/30 11:36:13 - mmengine - INFO - Epoch(train) [70][1900/3757] lr: 1.000e-03 eta: 8:44:07 time: 0.257 data_time: 0.017 memory: 6404 grad_norm: 7.2189 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0391 loss: 1.0391 2022/06/30 11:36:18 - mmengine - INFO - Epoch(train) [70][1920/3757] lr: 1.000e-03 eta: 8:44:01 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.4077 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5499 loss: 0.5499 2022/06/30 11:36:24 - mmengine - INFO - Epoch(train) [70][1940/3757] lr: 1.000e-03 eta: 8:43:56 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 8.3056 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3972 loss: 1.3972 2022/06/30 11:36:29 - mmengine - INFO - Epoch(train) [70][1960/3757] lr: 1.000e-03 eta: 8:43:50 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 7.7085 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3841 loss: 1.3841 2022/06/30 11:36:35 - mmengine - INFO - Epoch(train) [70][1980/3757] lr: 1.000e-03 eta: 8:43:45 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 6.9740 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8365 loss: 0.8365 2022/06/30 11:36:41 - mmengine - INFO - Epoch(train) [70][2000/3757] lr: 1.000e-03 eta: 8:43:39 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 9.7450 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2044 loss: 1.2044 2022/06/30 11:36:46 - mmengine - INFO - Epoch(train) [70][2020/3757] lr: 1.000e-03 eta: 8:43:34 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 7.9162 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1607 loss: 1.1607 2022/06/30 11:36:51 - mmengine - INFO - Epoch(train) [70][2040/3757] lr: 1.000e-03 eta: 8:43:28 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 7.8337 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2609 loss: 1.2609 2022/06/30 11:36:56 - mmengine - INFO - Epoch(train) [70][2060/3757] lr: 1.000e-03 eta: 8:43:22 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 7.3629 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0894 loss: 1.0894 2022/06/30 11:37:02 - mmengine - INFO - Epoch(train) [70][2080/3757] lr: 1.000e-03 eta: 8:43:17 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 8.4951 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1813 loss: 1.1813 2022/06/30 11:37:08 - mmengine - INFO - Epoch(train) [70][2100/3757] lr: 1.000e-03 eta: 8:43:12 time: 0.260 data_time: 0.017 memory: 6404 grad_norm: 7.6385 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4289 loss: 1.4289 2022/06/30 11:37:13 - mmengine - INFO - Epoch(train) [70][2120/3757] lr: 1.000e-03 eta: 8:43:06 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 8.0782 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2046 loss: 1.2046 2022/06/30 11:37:19 - mmengine - INFO - Epoch(train) [70][2140/3757] lr: 1.000e-03 eta: 8:43:00 time: 0.300 data_time: 0.022 memory: 6404 grad_norm: 7.8851 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2309 loss: 1.2309 2022/06/30 11:37:24 - mmengine - INFO - Epoch(train) [70][2160/3757] lr: 1.000e-03 eta: 8:42:55 time: 0.254 data_time: 0.022 memory: 6404 grad_norm: 7.6136 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1260 loss: 1.1260 2022/06/30 11:37:29 - mmengine - INFO - Epoch(train) [70][2180/3757] lr: 1.000e-03 eta: 8:42:49 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 7.6373 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0946 loss: 1.0946 2022/06/30 11:37:35 - mmengine - INFO - Epoch(train) [70][2200/3757] lr: 1.000e-03 eta: 8:42:44 time: 0.463 data_time: 0.277 memory: 6404 grad_norm: 8.6330 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0814 loss: 1.0814 2022/06/30 11:37:40 - mmengine - INFO - Epoch(train) [70][2220/3757] lr: 1.000e-03 eta: 8:42:38 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 7.4508 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2543 loss: 1.2543 2022/06/30 11:37:46 - mmengine - INFO - Epoch(train) [70][2240/3757] lr: 1.000e-03 eta: 8:42:33 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 8.0550 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4201 loss: 1.4201 2022/06/30 11:37:52 - mmengine - INFO - Epoch(train) [70][2260/3757] lr: 1.000e-03 eta: 8:42:28 time: 0.261 data_time: 0.060 memory: 6404 grad_norm: 8.6061 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2815 loss: 1.2815 2022/06/30 11:37:58 - mmengine - INFO - Epoch(train) [70][2280/3757] lr: 1.000e-03 eta: 8:42:22 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 8.3670 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5494 loss: 1.5494 2022/06/30 11:38:03 - mmengine - INFO - Epoch(train) [70][2300/3757] lr: 1.000e-03 eta: 8:42:17 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 7.9490 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0983 loss: 1.0983 2022/06/30 11:38:08 - mmengine - INFO - Epoch(train) [70][2320/3757] lr: 1.000e-03 eta: 8:42:11 time: 0.261 data_time: 0.024 memory: 6404 grad_norm: 7.3927 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0369 loss: 1.0369 2022/06/30 11:38:14 - mmengine - INFO - Epoch(train) [70][2340/3757] lr: 1.000e-03 eta: 8:42:06 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 7.6898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5858 loss: 1.5858 2022/06/30 11:38:19 - mmengine - INFO - Epoch(train) [70][2360/3757] lr: 1.000e-03 eta: 8:42:00 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 8.4221 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1976 loss: 1.1976 2022/06/30 11:38:25 - mmengine - INFO - Epoch(train) [70][2380/3757] lr: 1.000e-03 eta: 8:41:55 time: 0.260 data_time: 0.054 memory: 6404 grad_norm: 6.3051 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3592 loss: 1.3592 2022/06/30 11:38:31 - mmengine - INFO - Epoch(train) [70][2400/3757] lr: 1.000e-03 eta: 8:41:49 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 7.0903 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1288 loss: 1.1288 2022/06/30 11:38:36 - mmengine - INFO - Epoch(train) [70][2420/3757] lr: 1.000e-03 eta: 8:41:44 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 8.0715 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0505 loss: 1.0505 2022/06/30 11:38:42 - mmengine - INFO - Epoch(train) [70][2440/3757] lr: 1.000e-03 eta: 8:41:38 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 9.1106 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9340 loss: 0.9340 2022/06/30 11:38:47 - mmengine - INFO - Epoch(train) [70][2460/3757] lr: 1.000e-03 eta: 8:41:33 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 8.3457 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9000 loss: 0.9000 2022/06/30 11:38:52 - mmengine - INFO - Epoch(train) [70][2480/3757] lr: 1.000e-03 eta: 8:41:27 time: 0.248 data_time: 0.016 memory: 6404 grad_norm: 7.1333 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0473 loss: 1.0473 2022/06/30 11:38:58 - mmengine - INFO - Epoch(train) [70][2500/3757] lr: 1.000e-03 eta: 8:41:22 time: 0.256 data_time: 0.015 memory: 6404 grad_norm: 7.1972 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2389 loss: 1.2389 2022/06/30 11:39:03 - mmengine - INFO - Epoch(train) [70][2520/3757] lr: 1.000e-03 eta: 8:41:16 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 8.5615 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1608 loss: 1.1608 2022/06/30 11:39:08 - mmengine - INFO - Epoch(train) [70][2540/3757] lr: 1.000e-03 eta: 8:41:10 time: 0.244 data_time: 0.012 memory: 6404 grad_norm: 7.4020 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3241 loss: 1.3241 2022/06/30 11:39:14 - mmengine - INFO - Epoch(train) [70][2560/3757] lr: 1.000e-03 eta: 8:41:05 time: 0.269 data_time: 0.011 memory: 6404 grad_norm: 7.7636 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0001 loss: 1.0001 2022/06/30 11:39:20 - mmengine - INFO - Epoch(train) [70][2580/3757] lr: 1.000e-03 eta: 8:41:00 time: 0.249 data_time: 0.022 memory: 6404 grad_norm: 9.1868 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.3155 loss: 1.3155 2022/06/30 11:39:25 - mmengine - INFO - Epoch(train) [70][2600/3757] lr: 1.000e-03 eta: 8:40:54 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 7.1642 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0701 loss: 1.0701 2022/06/30 11:39:31 - mmengine - INFO - Epoch(train) [70][2620/3757] lr: 1.000e-03 eta: 8:40:49 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.6068 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1998 loss: 1.1998 2022/06/30 11:39:36 - mmengine - INFO - Epoch(train) [70][2640/3757] lr: 1.000e-03 eta: 8:40:43 time: 0.254 data_time: 0.024 memory: 6404 grad_norm: 7.7097 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9385 loss: 0.9385 2022/06/30 11:39:42 - mmengine - INFO - Epoch(train) [70][2660/3757] lr: 1.000e-03 eta: 8:40:38 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 9.0821 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0005 loss: 1.0005 2022/06/30 11:39:47 - mmengine - INFO - Epoch(train) [70][2680/3757] lr: 1.000e-03 eta: 8:40:32 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 9.3149 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9350 loss: 0.9350 2022/06/30 11:39:53 - mmengine - INFO - Epoch(train) [70][2700/3757] lr: 1.000e-03 eta: 8:40:27 time: 0.251 data_time: 0.044 memory: 6404 grad_norm: 8.9509 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4458 loss: 1.4458 2022/06/30 11:39:58 - mmengine - INFO - Epoch(train) [70][2720/3757] lr: 1.000e-03 eta: 8:40:21 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 8.5490 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2602 loss: 1.2602 2022/06/30 11:40:04 - mmengine - INFO - Epoch(train) [70][2740/3757] lr: 1.000e-03 eta: 8:40:16 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 7.0343 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0151 loss: 1.0151 2022/06/30 11:40:09 - mmengine - INFO - Epoch(train) [70][2760/3757] lr: 1.000e-03 eta: 8:40:10 time: 0.261 data_time: 0.059 memory: 6404 grad_norm: 8.6660 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1091 loss: 1.1091 2022/06/30 11:40:11 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 11:40:15 - mmengine - INFO - Epoch(train) [70][2780/3757] lr: 1.000e-03 eta: 8:40:05 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 8.3224 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3468 loss: 1.3468 2022/06/30 11:40:21 - mmengine - INFO - Epoch(train) [70][2800/3757] lr: 1.000e-03 eta: 8:40:00 time: 0.259 data_time: 0.020 memory: 6404 grad_norm: 7.8515 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2473 loss: 1.2473 2022/06/30 11:40:26 - mmengine - INFO - Epoch(train) [70][2820/3757] lr: 1.000e-03 eta: 8:39:54 time: 0.252 data_time: 0.018 memory: 6404 grad_norm: 7.8369 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8983 loss: 0.8983 2022/06/30 11:40:32 - mmengine - INFO - Epoch(train) [70][2840/3757] lr: 1.000e-03 eta: 8:39:48 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.0969 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1239 loss: 1.1239 2022/06/30 11:40:38 - mmengine - INFO - Epoch(train) [70][2860/3757] lr: 1.000e-03 eta: 8:39:43 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 9.0250 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2740 loss: 1.2740 2022/06/30 11:40:43 - mmengine - INFO - Epoch(train) [70][2880/3757] lr: 1.000e-03 eta: 8:39:38 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 7.3771 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2959 loss: 1.2959 2022/06/30 11:40:48 - mmengine - INFO - Epoch(train) [70][2900/3757] lr: 1.000e-03 eta: 8:39:32 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 7.8191 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0859 loss: 1.0859 2022/06/30 11:40:54 - mmengine - INFO - Epoch(train) [70][2920/3757] lr: 1.000e-03 eta: 8:39:26 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 9.2451 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0875 loss: 1.0875 2022/06/30 11:40:59 - mmengine - INFO - Epoch(train) [70][2940/3757] lr: 1.000e-03 eta: 8:39:21 time: 0.392 data_time: 0.007 memory: 6404 grad_norm: 7.8230 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0068 loss: 1.0068 2022/06/30 11:41:04 - mmengine - INFO - Epoch(train) [70][2960/3757] lr: 1.000e-03 eta: 8:39:15 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 7.7360 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9366 loss: 0.9366 2022/06/30 11:41:10 - mmengine - INFO - Epoch(train) [70][2980/3757] lr: 1.000e-03 eta: 8:39:10 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 7.4294 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8713 loss: 0.8713 2022/06/30 11:41:15 - mmengine - INFO - Epoch(train) [70][3000/3757] lr: 1.000e-03 eta: 8:39:04 time: 0.291 data_time: 0.016 memory: 6404 grad_norm: 7.0128 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0066 loss: 1.0066 2022/06/30 11:41:20 - mmengine - INFO - Epoch(train) [70][3020/3757] lr: 1.000e-03 eta: 8:38:59 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 8.0214 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4941 loss: 1.4941 2022/06/30 11:41:26 - mmengine - INFO - Epoch(train) [70][3040/3757] lr: 1.000e-03 eta: 8:38:53 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.1842 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0383 loss: 1.0383 2022/06/30 11:41:32 - mmengine - INFO - Epoch(train) [70][3060/3757] lr: 1.000e-03 eta: 8:38:48 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.9358 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1212 loss: 1.1212 2022/06/30 11:41:38 - mmengine - INFO - Epoch(train) [70][3080/3757] lr: 1.000e-03 eta: 8:38:43 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.1065 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1387 loss: 1.1387 2022/06/30 11:41:43 - mmengine - INFO - Epoch(train) [70][3100/3757] lr: 1.000e-03 eta: 8:38:37 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 8.5415 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3249 loss: 1.3249 2022/06/30 11:41:48 - mmengine - INFO - Epoch(train) [70][3120/3757] lr: 1.000e-03 eta: 8:38:31 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 8.4784 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2706 loss: 1.2706 2022/06/30 11:41:54 - mmengine - INFO - Epoch(train) [70][3140/3757] lr: 1.000e-03 eta: 8:38:26 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 6.0959 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9221 loss: 0.9221 2022/06/30 11:41:59 - mmengine - INFO - Epoch(train) [70][3160/3757] lr: 1.000e-03 eta: 8:38:20 time: 0.243 data_time: 0.015 memory: 6404 grad_norm: 8.5355 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3142 loss: 1.3142 2022/06/30 11:42:05 - mmengine - INFO - Epoch(train) [70][3180/3757] lr: 1.000e-03 eta: 8:38:15 time: 0.279 data_time: 0.007 memory: 6404 grad_norm: 7.8979 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3539 loss: 1.3539 2022/06/30 11:42:11 - mmengine - INFO - Epoch(train) [70][3200/3757] lr: 1.000e-03 eta: 8:38:10 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 7.8898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2388 loss: 1.2388 2022/06/30 11:42:16 - mmengine - INFO - Epoch(train) [70][3220/3757] lr: 1.000e-03 eta: 8:38:04 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 8.0063 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8147 loss: 0.8147 2022/06/30 11:42:22 - mmengine - INFO - Epoch(train) [70][3240/3757] lr: 1.000e-03 eta: 8:37:59 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 7.2691 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2792 loss: 1.2792 2022/06/30 11:42:27 - mmengine - INFO - Epoch(train) [70][3260/3757] lr: 1.000e-03 eta: 8:37:53 time: 0.269 data_time: 0.010 memory: 6404 grad_norm: 7.5030 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3471 loss: 1.3471 2022/06/30 11:42:33 - mmengine - INFO - Epoch(train) [70][3280/3757] lr: 1.000e-03 eta: 8:37:48 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.8401 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9944 loss: 0.9944 2022/06/30 11:42:38 - mmengine - INFO - Epoch(train) [70][3300/3757] lr: 1.000e-03 eta: 8:37:42 time: 0.402 data_time: 0.007 memory: 6404 grad_norm: 8.7803 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4680 loss: 1.4680 2022/06/30 11:42:44 - mmengine - INFO - Epoch(train) [70][3320/3757] lr: 1.000e-03 eta: 8:37:37 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 8.7581 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0443 loss: 1.0443 2022/06/30 11:42:49 - mmengine - INFO - Epoch(train) [70][3340/3757] lr: 1.000e-03 eta: 8:37:31 time: 0.280 data_time: 0.008 memory: 6404 grad_norm: 9.5644 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0824 loss: 1.0824 2022/06/30 11:42:55 - mmengine - INFO - Epoch(train) [70][3360/3757] lr: 1.000e-03 eta: 8:37:26 time: 0.363 data_time: 0.012 memory: 6404 grad_norm: 7.4838 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2529 loss: 1.2529 2022/06/30 11:43:00 - mmengine - INFO - Epoch(train) [70][3380/3757] lr: 1.000e-03 eta: 8:37:20 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 7.0300 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3256 loss: 1.3256 2022/06/30 11:43:06 - mmengine - INFO - Epoch(train) [70][3400/3757] lr: 1.000e-03 eta: 8:37:15 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 9.3071 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2348 loss: 1.2348 2022/06/30 11:43:12 - mmengine - INFO - Epoch(train) [70][3420/3757] lr: 1.000e-03 eta: 8:37:09 time: 0.273 data_time: 0.010 memory: 6404 grad_norm: 8.0332 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2333 loss: 1.2333 2022/06/30 11:43:17 - mmengine - INFO - Epoch(train) [70][3440/3757] lr: 1.000e-03 eta: 8:37:04 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 9.3463 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2619 loss: 1.2619 2022/06/30 11:43:22 - mmengine - INFO - Epoch(train) [70][3460/3757] lr: 1.000e-03 eta: 8:36:58 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 8.5655 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3226 loss: 1.3226 2022/06/30 11:43:28 - mmengine - INFO - Epoch(train) [70][3480/3757] lr: 1.000e-03 eta: 8:36:53 time: 0.286 data_time: 0.008 memory: 6404 grad_norm: 8.9026 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0040 loss: 1.0040 2022/06/30 11:43:34 - mmengine - INFO - Epoch(train) [70][3500/3757] lr: 1.000e-03 eta: 8:36:47 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 8.4851 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3376 loss: 1.3376 2022/06/30 11:43:39 - mmengine - INFO - Epoch(train) [70][3520/3757] lr: 1.000e-03 eta: 8:36:42 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 8.4989 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1072 loss: 1.1072 2022/06/30 11:43:45 - mmengine - INFO - Epoch(train) [70][3540/3757] lr: 1.000e-03 eta: 8:36:36 time: 0.842 data_time: 0.011 memory: 6404 grad_norm: 7.0277 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0813 loss: 1.0813 2022/06/30 11:43:51 - mmengine - INFO - Epoch(train) [70][3560/3757] lr: 1.000e-03 eta: 8:36:31 time: 0.258 data_time: 0.029 memory: 6404 grad_norm: 8.1232 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2329 loss: 1.2329 2022/06/30 11:43:56 - mmengine - INFO - Epoch(train) [70][3580/3757] lr: 1.000e-03 eta: 8:36:25 time: 0.328 data_time: 0.010 memory: 6404 grad_norm: 7.6342 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7956 loss: 0.7956 2022/06/30 11:44:01 - mmengine - INFO - Epoch(train) [70][3600/3757] lr: 1.000e-03 eta: 8:36:20 time: 0.298 data_time: 0.007 memory: 6404 grad_norm: 10.0788 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6631 loss: 1.6631 2022/06/30 11:44:06 - mmengine - INFO - Epoch(train) [70][3620/3757] lr: 1.000e-03 eta: 8:36:14 time: 0.245 data_time: 0.025 memory: 6404 grad_norm: 8.6843 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2490 loss: 1.2490 2022/06/30 11:44:12 - mmengine - INFO - Epoch(train) [70][3640/3757] lr: 1.000e-03 eta: 8:36:09 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.6834 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9608 loss: 0.9608 2022/06/30 11:44:17 - mmengine - INFO - Epoch(train) [70][3660/3757] lr: 1.000e-03 eta: 8:36:03 time: 0.605 data_time: 0.011 memory: 6404 grad_norm: 8.6608 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0991 loss: 1.0991 2022/06/30 11:44:23 - mmengine - INFO - Epoch(train) [70][3680/3757] lr: 1.000e-03 eta: 8:35:58 time: 0.259 data_time: 0.014 memory: 6404 grad_norm: 8.5745 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2609 loss: 1.2609 2022/06/30 11:44:28 - mmengine - INFO - Epoch(train) [70][3700/3757] lr: 1.000e-03 eta: 8:35:52 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 8.3238 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2036 loss: 1.2036 2022/06/30 11:44:34 - mmengine - INFO - Epoch(train) [70][3720/3757] lr: 1.000e-03 eta: 8:35:47 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 7.3070 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1343 loss: 1.1343 2022/06/30 11:44:39 - mmengine - INFO - Epoch(train) [70][3740/3757] lr: 1.000e-03 eta: 8:35:41 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 9.9977 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3640 loss: 1.3640 2022/06/30 11:44:43 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 11:44:43 - mmengine - INFO - Saving checkpoint at 70 epochs 2022/06/30 11:44:55 - mmengine - INFO - Epoch(val) [70][20/310] eta: 0:01:27 time: 0.083 data_time: 0.011 memory: 6404 2022/06/30 11:45:01 - mmengine - INFO - Epoch(val) [70][40/310] eta: 0:01:29 time: 0.564 data_time: 0.485 memory: 1479 2022/06/30 11:45:04 - mmengine - INFO - Epoch(val) [70][60/310] eta: 0:00:27 time: 0.077 data_time: 0.005 memory: 1479 2022/06/30 11:45:11 - mmengine - INFO - Epoch(val) [70][80/310] eta: 0:01:12 time: 0.077 data_time: 0.006 memory: 1479 2022/06/30 11:45:16 - mmengine - INFO - Epoch(val) [70][100/310] eta: 0:00:58 time: 0.891 data_time: 0.816 memory: 1479 2022/06/30 11:45:20 - mmengine - INFO - Epoch(val) [70][120/310] eta: 0:00:32 time: 0.079 data_time: 0.005 memory: 1479 2022/06/30 11:45:26 - mmengine - INFO - Epoch(val) [70][140/310] eta: 0:00:49 time: 0.081 data_time: 0.005 memory: 1479 2022/06/30 11:45:32 - mmengine - INFO - Epoch(val) [70][160/310] eta: 0:00:45 time: 1.282 data_time: 1.203 memory: 1479 2022/06/30 11:45:36 - mmengine - INFO - Epoch(val) [70][180/310] eta: 0:00:34 time: 0.085 data_time: 0.009 memory: 1479 2022/06/30 11:45:43 - mmengine - INFO - Epoch(val) [70][200/310] eta: 0:00:32 time: 1.292 data_time: 1.218 memory: 1479 2022/06/30 11:45:48 - mmengine - INFO - Epoch(val) [70][220/310] eta: 0:00:29 time: 0.429 data_time: 0.354 memory: 1479 2022/06/30 11:45:53 - mmengine - INFO - Epoch(val) [70][240/310] eta: 0:00:17 time: 0.087 data_time: 0.007 memory: 1479 2022/06/30 11:45:59 - mmengine - INFO - Epoch(val) [70][260/310] eta: 0:00:17 time: 1.861 data_time: 1.778 memory: 1479 2022/06/30 11:46:04 - mmengine - INFO - Epoch(val) [70][280/310] eta: 0:00:12 time: 1.745 data_time: 1.666 memory: 1479 2022/06/30 11:46:07 - mmengine - INFO - Epoch(val) [70][300/310] eta: 0:00:01 time: 0.076 data_time: 0.006 memory: 1479 2022/06/30 11:46:10 - mmengine - INFO - Epoch(val) [70][310/310] acc/top1: 0.6655 acc/top5: 0.8655 acc/mean1: 0.6653 2022/06/30 11:46:16 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 11:46:19 - mmengine - INFO - Epoch(train) [71][20/3757] lr: 1.000e-03 eta: 8:35:31 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 8.9496 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.1564 loss: 1.1564 2022/06/30 11:46:25 - mmengine - INFO - Epoch(train) [71][40/3757] lr: 1.000e-03 eta: 8:35:26 time: 0.250 data_time: 0.017 memory: 6404 grad_norm: 7.6355 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4409 loss: 1.4409 2022/06/30 11:46:31 - mmengine - INFO - Epoch(train) [71][60/3757] lr: 1.000e-03 eta: 8:35:21 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 7.8502 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0162 loss: 1.0162 2022/06/30 11:46:36 - mmengine - INFO - Epoch(train) [71][80/3757] lr: 1.000e-03 eta: 8:35:15 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 7.4779 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2905 loss: 1.2905 2022/06/30 11:46:42 - mmengine - INFO - Epoch(train) [71][100/3757] lr: 1.000e-03 eta: 8:35:10 time: 0.253 data_time: 0.020 memory: 6404 grad_norm: 7.9688 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9797 loss: 0.9797 2022/06/30 11:46:47 - mmengine - INFO - Epoch(train) [71][120/3757] lr: 1.000e-03 eta: 8:35:04 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 9.0061 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3291 loss: 1.3291 2022/06/30 11:46:53 - mmengine - INFO - Epoch(train) [71][140/3757] lr: 1.000e-03 eta: 8:34:59 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 7.6173 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0637 loss: 1.0637 2022/06/30 11:46:58 - mmengine - INFO - Epoch(train) [71][160/3757] lr: 1.000e-03 eta: 8:34:53 time: 0.256 data_time: 0.017 memory: 6404 grad_norm: 8.3255 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0710 loss: 1.0710 2022/06/30 11:47:03 - mmengine - INFO - Epoch(train) [71][180/3757] lr: 1.000e-03 eta: 8:34:48 time: 0.249 data_time: 0.014 memory: 6404 grad_norm: 7.5302 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0747 loss: 1.0747 2022/06/30 11:47:09 - mmengine - INFO - Epoch(train) [71][200/3757] lr: 1.000e-03 eta: 8:34:42 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.2879 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9400 loss: 0.9400 2022/06/30 11:47:15 - mmengine - INFO - Epoch(train) [71][220/3757] lr: 1.000e-03 eta: 8:34:37 time: 0.248 data_time: 0.015 memory: 6404 grad_norm: 7.0090 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5226 loss: 1.5226 2022/06/30 11:47:20 - mmengine - INFO - Epoch(train) [71][240/3757] lr: 1.000e-03 eta: 8:34:31 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 7.3080 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9508 loss: 0.9508 2022/06/30 11:47:25 - mmengine - INFO - Epoch(train) [71][260/3757] lr: 1.000e-03 eta: 8:34:26 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 7.5329 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3249 loss: 1.3249 2022/06/30 11:47:31 - mmengine - INFO - Epoch(train) [71][280/3757] lr: 1.000e-03 eta: 8:34:20 time: 0.258 data_time: 0.013 memory: 6404 grad_norm: 7.4603 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2798 loss: 1.2798 2022/06/30 11:47:36 - mmengine - INFO - Epoch(train) [71][300/3757] lr: 1.000e-03 eta: 8:34:15 time: 0.262 data_time: 0.015 memory: 6404 grad_norm: 8.7587 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0666 loss: 1.0666 2022/06/30 11:47:42 - mmengine - INFO - Epoch(train) [71][320/3757] lr: 1.000e-03 eta: 8:34:09 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 9.2119 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2223 loss: 1.2223 2022/06/30 11:47:47 - mmengine - INFO - Epoch(train) [71][340/3757] lr: 1.000e-03 eta: 8:34:04 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 9.8398 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1219 loss: 1.1219 2022/06/30 11:47:53 - mmengine - INFO - Epoch(train) [71][360/3757] lr: 1.000e-03 eta: 8:33:58 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 8.5853 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3404 loss: 1.3404 2022/06/30 11:47:58 - mmengine - INFO - Epoch(train) [71][380/3757] lr: 1.000e-03 eta: 8:33:53 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 7.4302 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9254 loss: 0.9254 2022/06/30 11:48:04 - mmengine - INFO - Epoch(train) [71][400/3757] lr: 1.000e-03 eta: 8:33:47 time: 0.263 data_time: 0.010 memory: 6404 grad_norm: 7.7575 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2432 loss: 1.2432 2022/06/30 11:48:09 - mmengine - INFO - Epoch(train) [71][420/3757] lr: 1.000e-03 eta: 8:33:42 time: 0.279 data_time: 0.010 memory: 6404 grad_norm: 6.9829 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1942 loss: 1.1942 2022/06/30 11:48:15 - mmengine - INFO - Epoch(train) [71][440/3757] lr: 1.000e-03 eta: 8:33:36 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 7.8304 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0162 loss: 1.0162 2022/06/30 11:48:21 - mmengine - INFO - Epoch(train) [71][460/3757] lr: 1.000e-03 eta: 8:33:31 time: 0.248 data_time: 0.019 memory: 6404 grad_norm: 8.0465 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2223 loss: 1.2223 2022/06/30 11:48:26 - mmengine - INFO - Epoch(train) [71][480/3757] lr: 1.000e-03 eta: 8:33:25 time: 0.263 data_time: 0.008 memory: 6404 grad_norm: 8.3497 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3619 loss: 1.3619 2022/06/30 11:48:32 - mmengine - INFO - Epoch(train) [71][500/3757] lr: 1.000e-03 eta: 8:33:20 time: 0.258 data_time: 0.021 memory: 6404 grad_norm: 7.6275 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1092 loss: 1.1092 2022/06/30 11:48:37 - mmengine - INFO - Epoch(train) [71][520/3757] lr: 1.000e-03 eta: 8:33:14 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 7.8236 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8756 loss: 0.8756 2022/06/30 11:48:43 - mmengine - INFO - Epoch(train) [71][540/3757] lr: 1.000e-03 eta: 8:33:09 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 8.2083 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4684 loss: 1.4684 2022/06/30 11:48:48 - mmengine - INFO - Epoch(train) [71][560/3757] lr: 1.000e-03 eta: 8:33:03 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 7.8901 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1150 loss: 1.1150 2022/06/30 11:48:54 - mmengine - INFO - Epoch(train) [71][580/3757] lr: 1.000e-03 eta: 8:32:58 time: 0.285 data_time: 0.007 memory: 6404 grad_norm: 8.1257 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9363 loss: 0.9363 2022/06/30 11:48:59 - mmengine - INFO - Epoch(train) [71][600/3757] lr: 1.000e-03 eta: 8:32:53 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 10.4583 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3942 loss: 1.3942 2022/06/30 11:49:05 - mmengine - INFO - Epoch(train) [71][620/3757] lr: 1.000e-03 eta: 8:32:47 time: 0.247 data_time: 0.024 memory: 6404 grad_norm: 9.1423 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0190 loss: 1.0190 2022/06/30 11:49:10 - mmengine - INFO - Epoch(train) [71][640/3757] lr: 1.000e-03 eta: 8:32:41 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 8.4085 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1443 loss: 1.1443 2022/06/30 11:49:15 - mmengine - INFO - Epoch(train) [71][660/3757] lr: 1.000e-03 eta: 8:32:36 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 8.9744 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9892 loss: 0.9892 2022/06/30 11:49:21 - mmengine - INFO - Epoch(train) [71][680/3757] lr: 1.000e-03 eta: 8:32:30 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 7.7942 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2946 loss: 1.2946 2022/06/30 11:49:26 - mmengine - INFO - Epoch(train) [71][700/3757] lr: 1.000e-03 eta: 8:32:25 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 5.6372 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2290 loss: 1.2290 2022/06/30 11:49:31 - mmengine - INFO - Epoch(train) [71][720/3757] lr: 1.000e-03 eta: 8:32:19 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 8.4255 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2210 loss: 1.2210 2022/06/30 11:49:38 - mmengine - INFO - Epoch(train) [71][740/3757] lr: 1.000e-03 eta: 8:32:14 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 6.8189 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3774 loss: 1.3774 2022/06/30 11:49:43 - mmengine - INFO - Epoch(train) [71][760/3757] lr: 1.000e-03 eta: 8:32:09 time: 0.260 data_time: 0.026 memory: 6404 grad_norm: 8.5782 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9579 loss: 0.9579 2022/06/30 11:49:49 - mmengine - INFO - Epoch(train) [71][780/3757] lr: 1.000e-03 eta: 8:32:03 time: 0.271 data_time: 0.011 memory: 6404 grad_norm: 9.1193 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3876 loss: 1.3876 2022/06/30 11:49:54 - mmengine - INFO - Epoch(train) [71][800/3757] lr: 1.000e-03 eta: 8:31:57 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 9.0632 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.1988 loss: 1.1988 2022/06/30 11:49:59 - mmengine - INFO - Epoch(train) [71][820/3757] lr: 1.000e-03 eta: 8:31:52 time: 0.253 data_time: 0.018 memory: 6404 grad_norm: 8.6343 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2488 loss: 1.2488 2022/06/30 11:50:05 - mmengine - INFO - Epoch(train) [71][840/3757] lr: 1.000e-03 eta: 8:31:46 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 8.0678 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0671 loss: 1.0671 2022/06/30 11:50:11 - mmengine - INFO - Epoch(train) [71][860/3757] lr: 1.000e-03 eta: 8:31:41 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 6.4039 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7297 loss: 0.7297 2022/06/30 11:50:16 - mmengine - INFO - Epoch(train) [71][880/3757] lr: 1.000e-03 eta: 8:31:36 time: 0.261 data_time: 0.017 memory: 6404 grad_norm: 6.8806 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1076 loss: 1.1076 2022/06/30 11:50:22 - mmengine - INFO - Epoch(train) [71][900/3757] lr: 1.000e-03 eta: 8:31:30 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 6.8951 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0316 loss: 1.0316 2022/06/30 11:50:27 - mmengine - INFO - Epoch(train) [71][920/3757] lr: 1.000e-03 eta: 8:31:25 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 9.0734 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0106 loss: 1.0106 2022/06/30 11:50:33 - mmengine - INFO - Epoch(train) [71][940/3757] lr: 1.000e-03 eta: 8:31:19 time: 0.263 data_time: 0.010 memory: 6404 grad_norm: 8.0425 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0740 loss: 1.0740 2022/06/30 11:50:38 - mmengine - INFO - Epoch(train) [71][960/3757] lr: 1.000e-03 eta: 8:31:14 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 9.2291 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2115 loss: 1.2115 2022/06/30 11:50:44 - mmengine - INFO - Epoch(train) [71][980/3757] lr: 1.000e-03 eta: 8:31:08 time: 0.243 data_time: 0.017 memory: 6404 grad_norm: 8.1550 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5192 loss: 1.5192 2022/06/30 11:50:50 - mmengine - INFO - Epoch(train) [71][1000/3757] lr: 1.000e-03 eta: 8:31:03 time: 0.251 data_time: 0.014 memory: 6404 grad_norm: 7.2979 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7705 loss: 0.7705 2022/06/30 11:50:52 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 11:50:55 - mmengine - INFO - Epoch(train) [71][1020/3757] lr: 1.000e-03 eta: 8:30:57 time: 0.256 data_time: 0.016 memory: 6404 grad_norm: 10.7441 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3170 loss: 1.3170 2022/06/30 11:51:00 - mmengine - INFO - Epoch(train) [71][1040/3757] lr: 1.000e-03 eta: 8:30:52 time: 0.436 data_time: 0.007 memory: 6404 grad_norm: 9.7642 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1717 loss: 1.1717 2022/06/30 11:51:06 - mmengine - INFO - Epoch(train) [71][1060/3757] lr: 1.000e-03 eta: 8:30:46 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.7445 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9122 loss: 0.9122 2022/06/30 11:51:11 - mmengine - INFO - Epoch(train) [71][1080/3757] lr: 1.000e-03 eta: 8:30:40 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 8.2393 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9564 loss: 0.9564 2022/06/30 11:51:16 - mmengine - INFO - Epoch(train) [71][1100/3757] lr: 1.000e-03 eta: 8:30:35 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 7.4223 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4235 loss: 1.4235 2022/06/30 11:51:23 - mmengine - INFO - Epoch(train) [71][1120/3757] lr: 1.000e-03 eta: 8:30:30 time: 0.268 data_time: 0.010 memory: 6404 grad_norm: 8.4434 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9289 loss: 0.9289 2022/06/30 11:51:28 - mmengine - INFO - Epoch(train) [71][1140/3757] lr: 1.000e-03 eta: 8:30:24 time: 0.255 data_time: 0.024 memory: 6404 grad_norm: 7.4038 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0329 loss: 1.0329 2022/06/30 11:51:33 - mmengine - INFO - Epoch(train) [71][1160/3757] lr: 1.000e-03 eta: 8:30:18 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 8.0757 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3228 loss: 1.3228 2022/06/30 11:51:38 - mmengine - INFO - Epoch(train) [71][1180/3757] lr: 1.000e-03 eta: 8:30:13 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 8.0367 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0338 loss: 1.0338 2022/06/30 11:51:44 - mmengine - INFO - Epoch(train) [71][1200/3757] lr: 1.000e-03 eta: 8:30:08 time: 0.619 data_time: 0.430 memory: 6404 grad_norm: 7.2053 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5664 loss: 1.5664 2022/06/30 11:51:49 - mmengine - INFO - Epoch(train) [71][1220/3757] lr: 1.000e-03 eta: 8:30:02 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 9.3432 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6989 loss: 1.6989 2022/06/30 11:51:55 - mmengine - INFO - Epoch(train) [71][1240/3757] lr: 1.000e-03 eta: 8:29:56 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 7.3442 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3319 loss: 1.3319 2022/06/30 11:52:01 - mmengine - INFO - Epoch(train) [71][1260/3757] lr: 1.000e-03 eta: 8:29:51 time: 0.792 data_time: 0.045 memory: 6404 grad_norm: 7.5324 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1987 loss: 1.1987 2022/06/30 11:52:06 - mmengine - INFO - Epoch(train) [71][1280/3757] lr: 1.000e-03 eta: 8:29:46 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.7864 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9486 loss: 0.9486 2022/06/30 11:52:11 - mmengine - INFO - Epoch(train) [71][1300/3757] lr: 1.000e-03 eta: 8:29:40 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 7.8173 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4299 loss: 1.4299 2022/06/30 11:52:17 - mmengine - INFO - Epoch(train) [71][1320/3757] lr: 1.000e-03 eta: 8:29:34 time: 0.259 data_time: 0.025 memory: 6404 grad_norm: 8.7230 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0843 loss: 1.0843 2022/06/30 11:52:22 - mmengine - INFO - Epoch(train) [71][1340/3757] lr: 1.000e-03 eta: 8:29:29 time: 0.299 data_time: 0.007 memory: 6404 grad_norm: 9.5526 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1863 loss: 1.1863 2022/06/30 11:52:27 - mmengine - INFO - Epoch(train) [71][1360/3757] lr: 1.000e-03 eta: 8:29:23 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 9.1519 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2136 loss: 1.2136 2022/06/30 11:52:32 - mmengine - INFO - Epoch(train) [71][1380/3757] lr: 1.000e-03 eta: 8:29:18 time: 0.238 data_time: 0.018 memory: 6404 grad_norm: 9.3514 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8802 loss: 0.8802 2022/06/30 11:52:38 - mmengine - INFO - Epoch(train) [71][1400/3757] lr: 1.000e-03 eta: 8:29:12 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.2602 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8168 loss: 0.8168 2022/06/30 11:52:44 - mmengine - INFO - Epoch(train) [71][1420/3757] lr: 1.000e-03 eta: 8:29:07 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 8.8002 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3104 loss: 1.3104 2022/06/30 11:52:50 - mmengine - INFO - Epoch(train) [71][1440/3757] lr: 1.000e-03 eta: 8:29:01 time: 0.266 data_time: 0.015 memory: 6404 grad_norm: 8.0840 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0818 loss: 1.0818 2022/06/30 11:52:55 - mmengine - INFO - Epoch(train) [71][1460/3757] lr: 1.000e-03 eta: 8:28:56 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 8.4563 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3334 loss: 1.3334 2022/06/30 11:53:00 - mmengine - INFO - Epoch(train) [71][1480/3757] lr: 1.000e-03 eta: 8:28:50 time: 0.515 data_time: 0.010 memory: 6404 grad_norm: 8.1932 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0856 loss: 1.0856 2022/06/30 11:53:06 - mmengine - INFO - Epoch(train) [71][1500/3757] lr: 1.000e-03 eta: 8:28:45 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 7.8729 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3173 loss: 1.3173 2022/06/30 11:53:11 - mmengine - INFO - Epoch(train) [71][1520/3757] lr: 1.000e-03 eta: 8:28:39 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 9.3241 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3637 loss: 1.3637 2022/06/30 11:53:16 - mmengine - INFO - Epoch(train) [71][1540/3757] lr: 1.000e-03 eta: 8:28:34 time: 0.266 data_time: 0.018 memory: 6404 grad_norm: 8.3453 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2814 loss: 1.2814 2022/06/30 11:53:22 - mmengine - INFO - Epoch(train) [71][1560/3757] lr: 1.000e-03 eta: 8:28:28 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 9.0170 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2668 loss: 1.2668 2022/06/30 11:53:27 - mmengine - INFO - Epoch(train) [71][1580/3757] lr: 1.000e-03 eta: 8:28:23 time: 0.289 data_time: 0.007 memory: 6404 grad_norm: 8.6621 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9652 loss: 0.9652 2022/06/30 11:53:33 - mmengine - INFO - Epoch(train) [71][1600/3757] lr: 1.000e-03 eta: 8:28:17 time: 0.276 data_time: 0.016 memory: 6404 grad_norm: 8.3918 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1231 loss: 1.1231 2022/06/30 11:53:38 - mmengine - INFO - Epoch(train) [71][1620/3757] lr: 1.000e-03 eta: 8:28:12 time: 0.265 data_time: 0.009 memory: 6404 grad_norm: 7.5552 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5787 loss: 1.5787 2022/06/30 11:53:44 - mmengine - INFO - Epoch(train) [71][1640/3757] lr: 1.000e-03 eta: 8:28:06 time: 0.252 data_time: 0.020 memory: 6404 grad_norm: 7.9271 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1099 loss: 1.1099 2022/06/30 11:53:49 - mmengine - INFO - Epoch(train) [71][1660/3757] lr: 1.000e-03 eta: 8:28:01 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.5313 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1263 loss: 1.1263 2022/06/30 11:53:55 - mmengine - INFO - Epoch(train) [71][1680/3757] lr: 1.000e-03 eta: 8:27:55 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 7.3047 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3227 loss: 1.3227 2022/06/30 11:54:00 - mmengine - INFO - Epoch(train) [71][1700/3757] lr: 1.000e-03 eta: 8:27:49 time: 0.248 data_time: 0.013 memory: 6404 grad_norm: 8.6362 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0122 loss: 1.0122 2022/06/30 11:54:05 - mmengine - INFO - Epoch(train) [71][1720/3757] lr: 1.000e-03 eta: 8:27:44 time: 0.277 data_time: 0.013 memory: 6404 grad_norm: 6.6962 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1411 loss: 1.1411 2022/06/30 11:54:11 - mmengine - INFO - Epoch(train) [71][1740/3757] lr: 1.000e-03 eta: 8:27:38 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 8.5684 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4641 loss: 1.4641 2022/06/30 11:54:16 - mmengine - INFO - Epoch(train) [71][1760/3757] lr: 1.000e-03 eta: 8:27:33 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 8.3927 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3222 loss: 1.3222 2022/06/30 11:54:22 - mmengine - INFO - Epoch(train) [71][1780/3757] lr: 1.000e-03 eta: 8:27:27 time: 0.264 data_time: 0.021 memory: 6404 grad_norm: 8.0804 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1708 loss: 1.1708 2022/06/30 11:54:27 - mmengine - INFO - Epoch(train) [71][1800/3757] lr: 1.000e-03 eta: 8:27:22 time: 0.282 data_time: 0.008 memory: 6404 grad_norm: 8.3376 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2855 loss: 1.2855 2022/06/30 11:54:32 - mmengine - INFO - Epoch(train) [71][1820/3757] lr: 1.000e-03 eta: 8:27:16 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.7076 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6622 loss: 1.6622 2022/06/30 11:54:37 - mmengine - INFO - Epoch(train) [71][1840/3757] lr: 1.000e-03 eta: 8:27:11 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 8.3641 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9823 loss: 0.9823 2022/06/30 11:54:43 - mmengine - INFO - Epoch(train) [71][1860/3757] lr: 1.000e-03 eta: 8:27:05 time: 0.285 data_time: 0.008 memory: 6404 grad_norm: 7.3240 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1485 loss: 1.1485 2022/06/30 11:54:48 - mmengine - INFO - Epoch(train) [71][1880/3757] lr: 1.000e-03 eta: 8:27:00 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 8.8980 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4972 loss: 1.4972 2022/06/30 11:54:54 - mmengine - INFO - Epoch(train) [71][1900/3757] lr: 1.000e-03 eta: 8:26:54 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 7.9104 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0715 loss: 1.0715 2022/06/30 11:55:00 - mmengine - INFO - Epoch(train) [71][1920/3757] lr: 1.000e-03 eta: 8:26:49 time: 0.454 data_time: 0.008 memory: 6404 grad_norm: 8.9421 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3595 loss: 1.3595 2022/06/30 11:55:05 - mmengine - INFO - Epoch(train) [71][1940/3757] lr: 1.000e-03 eta: 8:26:43 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 9.8301 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1558 loss: 1.1558 2022/06/30 11:55:11 - mmengine - INFO - Epoch(train) [71][1960/3757] lr: 1.000e-03 eta: 8:26:38 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 7.2560 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2412 loss: 1.2412 2022/06/30 11:55:16 - mmengine - INFO - Epoch(train) [71][1980/3757] lr: 1.000e-03 eta: 8:26:32 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 8.6909 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0643 loss: 1.0643 2022/06/30 11:55:22 - mmengine - INFO - Epoch(train) [71][2000/3757] lr: 1.000e-03 eta: 8:26:27 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.8664 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3428 loss: 1.3428 2022/06/30 11:55:25 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 11:55:28 - mmengine - INFO - Epoch(train) [71][2020/3757] lr: 1.000e-03 eta: 8:26:22 time: 0.262 data_time: 0.012 memory: 6404 grad_norm: 9.2025 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9849 loss: 0.9849 2022/06/30 11:55:33 - mmengine - INFO - Epoch(train) [71][2040/3757] lr: 1.000e-03 eta: 8:26:16 time: 0.293 data_time: 0.012 memory: 6404 grad_norm: 6.9639 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3666 loss: 1.3666 2022/06/30 11:55:38 - mmengine - INFO - Epoch(train) [71][2060/3757] lr: 1.000e-03 eta: 8:26:10 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 9.4858 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9755 loss: 0.9755 2022/06/30 11:55:44 - mmengine - INFO - Epoch(train) [71][2080/3757] lr: 1.000e-03 eta: 8:26:05 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 7.2796 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2566 loss: 1.2566 2022/06/30 11:55:49 - mmengine - INFO - Epoch(train) [71][2100/3757] lr: 1.000e-03 eta: 8:25:59 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 8.4007 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4035 loss: 1.4035 2022/06/30 11:55:54 - mmengine - INFO - Epoch(train) [71][2120/3757] lr: 1.000e-03 eta: 8:25:54 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 9.2405 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5797 loss: 1.5797 2022/06/30 11:55:59 - mmengine - INFO - Epoch(train) [71][2140/3757] lr: 1.000e-03 eta: 8:25:48 time: 0.259 data_time: 0.028 memory: 6404 grad_norm: 10.2831 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9164 loss: 0.9164 2022/06/30 11:56:05 - mmengine - INFO - Epoch(train) [71][2160/3757] lr: 1.000e-03 eta: 8:25:42 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 8.7782 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3104 loss: 1.3104 2022/06/30 11:56:10 - mmengine - INFO - Epoch(train) [71][2180/3757] lr: 1.000e-03 eta: 8:25:37 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 6.6074 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0675 loss: 1.0675 2022/06/30 11:56:15 - mmengine - INFO - Epoch(train) [71][2200/3757] lr: 1.000e-03 eta: 8:25:31 time: 0.259 data_time: 0.022 memory: 6404 grad_norm: 7.8074 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3626 loss: 1.3626 2022/06/30 11:56:21 - mmengine - INFO - Epoch(train) [71][2220/3757] lr: 1.000e-03 eta: 8:25:26 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 9.7049 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1881 loss: 1.1881 2022/06/30 11:56:26 - mmengine - INFO - Epoch(train) [71][2240/3757] lr: 1.000e-03 eta: 8:25:20 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.1902 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7124 loss: 1.7124 2022/06/30 11:56:32 - mmengine - INFO - Epoch(train) [71][2260/3757] lr: 1.000e-03 eta: 8:25:15 time: 0.265 data_time: 0.011 memory: 6404 grad_norm: 6.9264 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2389 loss: 1.2389 2022/06/30 11:56:37 - mmengine - INFO - Epoch(train) [71][2280/3757] lr: 1.000e-03 eta: 8:25:09 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 9.0154 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2665 loss: 1.2665 2022/06/30 11:56:43 - mmengine - INFO - Epoch(train) [71][2300/3757] lr: 1.000e-03 eta: 8:25:04 time: 0.278 data_time: 0.006 memory: 6404 grad_norm: 7.9316 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3149 loss: 1.3149 2022/06/30 11:56:48 - mmengine - INFO - Epoch(train) [71][2320/3757] lr: 1.000e-03 eta: 8:24:58 time: 0.255 data_time: 0.017 memory: 6404 grad_norm: 6.4430 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1379 loss: 1.1379 2022/06/30 11:56:54 - mmengine - INFO - Epoch(train) [71][2340/3757] lr: 1.000e-03 eta: 8:24:53 time: 0.270 data_time: 0.015 memory: 6404 grad_norm: 7.5763 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0137 loss: 1.0137 2022/06/30 11:56:59 - mmengine - INFO - Epoch(train) [71][2360/3757] lr: 1.000e-03 eta: 8:24:47 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 8.8217 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9325 loss: 0.9325 2022/06/30 11:57:05 - mmengine - INFO - Epoch(train) [71][2380/3757] lr: 1.000e-03 eta: 8:24:42 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 8.0156 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3829 loss: 1.3829 2022/06/30 11:57:10 - mmengine - INFO - Epoch(train) [71][2400/3757] lr: 1.000e-03 eta: 8:24:36 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 7.4419 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5276 loss: 1.5276 2022/06/30 11:57:16 - mmengine - INFO - Epoch(train) [71][2420/3757] lr: 1.000e-03 eta: 8:24:31 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 9.4594 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1339 loss: 1.1339 2022/06/30 11:57:22 - mmengine - INFO - Epoch(train) [71][2440/3757] lr: 1.000e-03 eta: 8:24:26 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 8.5008 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2663 loss: 1.2663 2022/06/30 11:57:27 - mmengine - INFO - Epoch(train) [71][2460/3757] lr: 1.000e-03 eta: 8:24:20 time: 0.260 data_time: 0.012 memory: 6404 grad_norm: 9.2247 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2853 loss: 1.2853 2022/06/30 11:57:32 - mmengine - INFO - Epoch(train) [71][2480/3757] lr: 1.000e-03 eta: 8:24:14 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 8.1448 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4797 loss: 1.4797 2022/06/30 11:57:37 - mmengine - INFO - Epoch(train) [71][2500/3757] lr: 1.000e-03 eta: 8:24:09 time: 0.262 data_time: 0.012 memory: 6404 grad_norm: 7.5860 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3640 loss: 1.3640 2022/06/30 11:57:43 - mmengine - INFO - Epoch(train) [71][2520/3757] lr: 1.000e-03 eta: 8:24:03 time: 0.245 data_time: 0.016 memory: 6404 grad_norm: 8.1928 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6216 loss: 0.6216 2022/06/30 11:57:48 - mmengine - INFO - Epoch(train) [71][2540/3757] lr: 1.000e-03 eta: 8:23:58 time: 0.271 data_time: 0.013 memory: 6404 grad_norm: 9.0439 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2490 loss: 1.2490 2022/06/30 11:57:54 - mmengine - INFO - Epoch(train) [71][2560/3757] lr: 1.000e-03 eta: 8:23:52 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 7.7409 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8737 loss: 0.8737 2022/06/30 11:58:00 - mmengine - INFO - Epoch(train) [71][2580/3757] lr: 1.000e-03 eta: 8:23:47 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 7.7303 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0022 loss: 1.0022 2022/06/30 11:58:06 - mmengine - INFO - Epoch(train) [71][2600/3757] lr: 1.000e-03 eta: 8:23:42 time: 0.268 data_time: 0.008 memory: 6404 grad_norm: 8.7124 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9280 loss: 0.9280 2022/06/30 11:58:11 - mmengine - INFO - Epoch(train) [71][2620/3757] lr: 1.000e-03 eta: 8:23:36 time: 0.255 data_time: 0.016 memory: 6404 grad_norm: 7.4185 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9200 loss: 0.9200 2022/06/30 11:58:16 - mmengine - INFO - Epoch(train) [71][2640/3757] lr: 1.000e-03 eta: 8:23:31 time: 0.260 data_time: 0.014 memory: 6404 grad_norm: 6.8670 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9842 loss: 0.9842 2022/06/30 11:58:22 - mmengine - INFO - Epoch(train) [71][2660/3757] lr: 1.000e-03 eta: 8:23:25 time: 0.270 data_time: 0.013 memory: 6404 grad_norm: 7.5915 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1577 loss: 1.1577 2022/06/30 11:58:27 - mmengine - INFO - Epoch(train) [71][2680/3757] lr: 1.000e-03 eta: 8:23:19 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 9.3363 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3266 loss: 1.3266 2022/06/30 11:58:32 - mmengine - INFO - Epoch(train) [71][2700/3757] lr: 1.000e-03 eta: 8:23:14 time: 0.259 data_time: 0.014 memory: 6404 grad_norm: 7.5087 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3943 loss: 1.3943 2022/06/30 11:58:38 - mmengine - INFO - Epoch(train) [71][2720/3757] lr: 1.000e-03 eta: 8:23:08 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 8.3772 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1156 loss: 1.1156 2022/06/30 11:58:43 - mmengine - INFO - Epoch(train) [71][2740/3757] lr: 1.000e-03 eta: 8:23:03 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 8.2302 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2978 loss: 1.2978 2022/06/30 11:58:49 - mmengine - INFO - Epoch(train) [71][2760/3757] lr: 1.000e-03 eta: 8:22:57 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 8.2011 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1708 loss: 1.1708 2022/06/30 11:58:54 - mmengine - INFO - Epoch(train) [71][2780/3757] lr: 1.000e-03 eta: 8:22:52 time: 0.268 data_time: 0.010 memory: 6404 grad_norm: 9.1390 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3255 loss: 1.3255 2022/06/30 11:59:00 - mmengine - INFO - Epoch(train) [71][2800/3757] lr: 1.000e-03 eta: 8:22:46 time: 0.262 data_time: 0.015 memory: 6404 grad_norm: 10.0287 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5799 loss: 1.5799 2022/06/30 11:59:06 - mmengine - INFO - Epoch(train) [71][2820/3757] lr: 1.000e-03 eta: 8:22:41 time: 0.261 data_time: 0.009 memory: 6404 grad_norm: 8.5074 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2035 loss: 1.2035 2022/06/30 11:59:11 - mmengine - INFO - Epoch(train) [71][2840/3757] lr: 1.000e-03 eta: 8:22:36 time: 0.254 data_time: 0.057 memory: 6404 grad_norm: 8.3865 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0205 loss: 1.0205 2022/06/30 11:59:17 - mmengine - INFO - Epoch(train) [71][2860/3757] lr: 1.000e-03 eta: 8:22:30 time: 0.251 data_time: 0.018 memory: 6404 grad_norm: 8.4833 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2188 loss: 1.2188 2022/06/30 11:59:22 - mmengine - INFO - Epoch(train) [71][2880/3757] lr: 1.000e-03 eta: 8:22:25 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 7.3801 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2394 loss: 1.2394 2022/06/30 11:59:28 - mmengine - INFO - Epoch(train) [71][2900/3757] lr: 1.000e-03 eta: 8:22:19 time: 0.272 data_time: 0.011 memory: 6404 grad_norm: 6.2898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4137 loss: 1.4137 2022/06/30 11:59:33 - mmengine - INFO - Epoch(train) [71][2920/3757] lr: 1.000e-03 eta: 8:22:13 time: 0.265 data_time: 0.009 memory: 6404 grad_norm: 8.3988 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9398 loss: 0.9398 2022/06/30 11:59:38 - mmengine - INFO - Epoch(train) [71][2940/3757] lr: 1.000e-03 eta: 8:22:08 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 7.4314 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0126 loss: 1.0126 2022/06/30 11:59:44 - mmengine - INFO - Epoch(train) [71][2960/3757] lr: 1.000e-03 eta: 8:22:02 time: 0.271 data_time: 0.008 memory: 6404 grad_norm: 8.1534 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2308 loss: 1.2308 2022/06/30 11:59:49 - mmengine - INFO - Epoch(train) [71][2980/3757] lr: 1.000e-03 eta: 8:21:57 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 6.9504 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1185 loss: 1.1185 2022/06/30 11:59:55 - mmengine - INFO - Epoch(train) [71][3000/3757] lr: 1.000e-03 eta: 8:21:52 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 7.3380 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5416 loss: 1.5416 2022/06/30 11:59:58 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 12:00:00 - mmengine - INFO - Epoch(train) [71][3020/3757] lr: 1.000e-03 eta: 8:21:46 time: 0.262 data_time: 0.009 memory: 6404 grad_norm: 8.4160 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2401 loss: 1.2401 2022/06/30 12:00:08 - mmengine - INFO - Epoch(train) [71][3040/3757] lr: 1.000e-03 eta: 8:21:41 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 8.9633 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9619 loss: 0.9619 2022/06/30 12:00:13 - mmengine - INFO - Epoch(train) [71][3060/3757] lr: 1.000e-03 eta: 8:21:36 time: 0.255 data_time: 0.014 memory: 6404 grad_norm: 7.0328 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4507 loss: 1.4507 2022/06/30 12:00:18 - mmengine - INFO - Epoch(train) [71][3080/3757] lr: 1.000e-03 eta: 8:21:30 time: 0.253 data_time: 0.015 memory: 6404 grad_norm: 8.6770 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3804 loss: 1.3804 2022/06/30 12:00:24 - mmengine - INFO - Epoch(train) [71][3100/3757] lr: 1.000e-03 eta: 8:21:25 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 8.2251 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2392 loss: 1.2392 2022/06/30 12:00:29 - mmengine - INFO - Epoch(train) [71][3120/3757] lr: 1.000e-03 eta: 8:21:19 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 8.6582 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1035 loss: 1.1035 2022/06/30 12:00:34 - mmengine - INFO - Epoch(train) [71][3140/3757] lr: 1.000e-03 eta: 8:21:13 time: 0.252 data_time: 0.016 memory: 6404 grad_norm: 8.9540 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2276 loss: 1.2276 2022/06/30 12:00:39 - mmengine - INFO - Epoch(train) [71][3160/3757] lr: 1.000e-03 eta: 8:21:08 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 7.3418 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3408 loss: 1.3408 2022/06/30 12:00:45 - mmengine - INFO - Epoch(train) [71][3180/3757] lr: 1.000e-03 eta: 8:21:02 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 7.2142 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3795 loss: 1.3795 2022/06/30 12:00:50 - mmengine - INFO - Epoch(train) [71][3200/3757] lr: 1.000e-03 eta: 8:20:57 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 8.9900 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8783 loss: 0.8783 2022/06/30 12:00:56 - mmengine - INFO - Epoch(train) [71][3220/3757] lr: 1.000e-03 eta: 8:20:51 time: 0.665 data_time: 0.009 memory: 6404 grad_norm: 8.9068 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1341 loss: 1.1341 2022/06/30 12:01:02 - mmengine - INFO - Epoch(train) [71][3240/3757] lr: 1.000e-03 eta: 8:20:46 time: 0.239 data_time: 0.010 memory: 6404 grad_norm: 7.8051 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0547 loss: 1.0547 2022/06/30 12:01:07 - mmengine - INFO - Epoch(train) [71][3260/3757] lr: 1.000e-03 eta: 8:20:40 time: 0.261 data_time: 0.011 memory: 6404 grad_norm: 7.6159 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0899 loss: 1.0899 2022/06/30 12:01:13 - mmengine - INFO - Epoch(train) [71][3280/3757] lr: 1.000e-03 eta: 8:20:35 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 6.4922 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0013 loss: 1.0013 2022/06/30 12:01:18 - mmengine - INFO - Epoch(train) [71][3300/3757] lr: 1.000e-03 eta: 8:20:29 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 9.9352 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2000 loss: 1.2000 2022/06/30 12:01:24 - mmengine - INFO - Epoch(train) [71][3320/3757] lr: 1.000e-03 eta: 8:20:24 time: 0.611 data_time: 0.013 memory: 6404 grad_norm: 7.4419 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1438 loss: 1.1438 2022/06/30 12:01:30 - mmengine - INFO - Epoch(train) [71][3340/3757] lr: 1.000e-03 eta: 8:20:19 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 7.0648 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8304 loss: 0.8304 2022/06/30 12:01:35 - mmengine - INFO - Epoch(train) [71][3360/3757] lr: 1.000e-03 eta: 8:20:13 time: 0.263 data_time: 0.008 memory: 6404 grad_norm: 8.7071 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1424 loss: 1.1424 2022/06/30 12:01:41 - mmengine - INFO - Epoch(train) [71][3380/3757] lr: 1.000e-03 eta: 8:20:08 time: 0.254 data_time: 0.055 memory: 6404 grad_norm: 7.5480 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7630 loss: 1.7630 2022/06/30 12:01:46 - mmengine - INFO - Epoch(train) [71][3400/3757] lr: 1.000e-03 eta: 8:20:02 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 7.4638 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1991 loss: 1.1991 2022/06/30 12:01:51 - mmengine - INFO - Epoch(train) [71][3420/3757] lr: 1.000e-03 eta: 8:19:57 time: 0.278 data_time: 0.007 memory: 6404 grad_norm: 9.7630 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4810 loss: 1.4810 2022/06/30 12:01:57 - mmengine - INFO - Epoch(train) [71][3440/3757] lr: 1.000e-03 eta: 8:19:51 time: 0.270 data_time: 0.024 memory: 6404 grad_norm: 7.9462 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2891 loss: 1.2891 2022/06/30 12:02:03 - mmengine - INFO - Epoch(train) [71][3460/3757] lr: 1.000e-03 eta: 8:19:46 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 8.9214 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0632 loss: 1.0632 2022/06/30 12:02:08 - mmengine - INFO - Epoch(train) [71][3480/3757] lr: 1.000e-03 eta: 8:19:40 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 5.6474 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1580 loss: 1.1580 2022/06/30 12:02:14 - mmengine - INFO - Epoch(train) [71][3500/3757] lr: 1.000e-03 eta: 8:19:35 time: 0.254 data_time: 0.020 memory: 6404 grad_norm: 11.2679 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1722 loss: 1.1722 2022/06/30 12:02:19 - mmengine - INFO - Epoch(train) [71][3520/3757] lr: 1.000e-03 eta: 8:19:29 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 8.1822 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2019 loss: 1.2019 2022/06/30 12:02:25 - mmengine - INFO - Epoch(train) [71][3540/3757] lr: 1.000e-03 eta: 8:19:24 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 8.9797 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2244 loss: 1.2244 2022/06/30 12:02:31 - mmengine - INFO - Epoch(train) [71][3560/3757] lr: 1.000e-03 eta: 8:19:18 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 8.3095 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3585 loss: 1.3585 2022/06/30 12:02:36 - mmengine - INFO - Epoch(train) [71][3580/3757] lr: 1.000e-03 eta: 8:19:13 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 9.5552 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0879 loss: 1.0879 2022/06/30 12:02:41 - mmengine - INFO - Epoch(train) [71][3600/3757] lr: 1.000e-03 eta: 8:19:07 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 8.4008 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8582 loss: 0.8582 2022/06/30 12:02:47 - mmengine - INFO - Epoch(train) [71][3620/3757] lr: 1.000e-03 eta: 8:19:02 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 7.1397 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0625 loss: 1.0625 2022/06/30 12:02:53 - mmengine - INFO - Epoch(train) [71][3640/3757] lr: 1.000e-03 eta: 8:18:57 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 7.8434 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4278 loss: 1.4278 2022/06/30 12:02:58 - mmengine - INFO - Epoch(train) [71][3660/3757] lr: 1.000e-03 eta: 8:18:51 time: 0.254 data_time: 0.017 memory: 6404 grad_norm: 8.3310 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4292 loss: 1.4292 2022/06/30 12:03:04 - mmengine - INFO - Epoch(train) [71][3680/3757] lr: 1.000e-03 eta: 8:18:46 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 7.7218 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1487 loss: 1.1487 2022/06/30 12:03:09 - mmengine - INFO - Epoch(train) [71][3700/3757] lr: 1.000e-03 eta: 8:18:40 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 8.9375 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3246 loss: 1.3246 2022/06/30 12:03:15 - mmengine - INFO - Epoch(train) [71][3720/3757] lr: 1.000e-03 eta: 8:18:34 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.0903 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3008 loss: 1.3008 2022/06/30 12:03:20 - mmengine - INFO - Epoch(train) [71][3740/3757] lr: 1.000e-03 eta: 8:18:29 time: 0.264 data_time: 0.014 memory: 6404 grad_norm: 8.2438 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1849 loss: 1.1849 2022/06/30 12:03:24 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 12:03:32 - mmengine - INFO - Epoch(val) [71][20/310] eta: 0:01:29 time: 0.108 data_time: 0.011 memory: 6404 2022/06/30 12:03:37 - mmengine - INFO - Epoch(val) [71][40/310] eta: 0:01:23 time: 0.491 data_time: 0.401 memory: 1479 2022/06/30 12:03:41 - mmengine - INFO - Epoch(val) [71][60/310] eta: 0:00:25 time: 0.102 data_time: 0.009 memory: 1479 2022/06/30 12:03:47 - mmengine - INFO - Epoch(val) [71][80/310] eta: 0:01:07 time: 0.085 data_time: 0.006 memory: 1479 2022/06/30 12:03:53 - mmengine - INFO - Epoch(val) [71][100/310] eta: 0:01:02 time: 0.606 data_time: 0.518 memory: 1479 2022/06/30 12:03:57 - mmengine - INFO - Epoch(val) [71][120/310] eta: 0:00:35 time: 0.089 data_time: 0.009 memory: 1479 2022/06/30 12:04:04 - mmengine - INFO - Epoch(val) [71][140/310] eta: 0:00:53 time: 0.096 data_time: 0.018 memory: 1479 2022/06/30 12:04:10 - mmengine - INFO - Epoch(val) [71][160/310] eta: 0:00:48 time: 1.258 data_time: 1.168 memory: 1479 2022/06/30 12:04:14 - mmengine - INFO - Epoch(val) [71][180/310] eta: 0:00:41 time: 0.084 data_time: 0.005 memory: 1479 2022/06/30 12:04:20 - mmengine - INFO - Epoch(val) [71][200/310] eta: 0:00:33 time: 0.088 data_time: 0.007 memory: 1479 2022/06/30 12:04:26 - mmengine - INFO - Epoch(val) [71][220/310] eta: 0:00:25 time: 0.930 data_time: 0.839 memory: 1479 2022/06/30 12:04:29 - mmengine - INFO - Epoch(val) [71][240/310] eta: 0:00:21 time: 0.085 data_time: 0.005 memory: 1479 2022/06/30 12:04:36 - mmengine - INFO - Epoch(val) [71][260/310] eta: 0:00:15 time: 0.088 data_time: 0.006 memory: 1479 2022/06/30 12:04:42 - mmengine - INFO - Epoch(val) [71][280/310] eta: 0:00:09 time: 0.547 data_time: 0.449 memory: 1479 2022/06/30 12:04:45 - mmengine - INFO - Epoch(val) [71][300/310] eta: 0:00:02 time: 0.093 data_time: 0.008 memory: 1479 2022/06/30 12:04:48 - mmengine - INFO - Epoch(val) [71][310/310] acc/top1: 0.6643 acc/top5: 0.8670 acc/mean1: 0.6642 2022/06/30 12:04:57 - mmengine - INFO - Epoch(train) [72][20/3757] lr: 1.000e-03 eta: 8:18:19 time: 0.244 data_time: 0.009 memory: 6404 grad_norm: 8.2324 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2005 loss: 1.2005 2022/06/30 12:05:03 - mmengine - INFO - Epoch(train) [72][40/3757] lr: 1.000e-03 eta: 8:18:14 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 8.9066 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0083 loss: 1.0083 2022/06/30 12:05:08 - mmengine - INFO - Epoch(train) [72][60/3757] lr: 1.000e-03 eta: 8:18:08 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 9.6871 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1306 loss: 1.1306 2022/06/30 12:05:14 - mmengine - INFO - Epoch(train) [72][80/3757] lr: 1.000e-03 eta: 8:18:03 time: 0.263 data_time: 0.008 memory: 6404 grad_norm: 7.2392 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9373 loss: 0.9373 2022/06/30 12:05:20 - mmengine - INFO - Epoch(train) [72][100/3757] lr: 1.000e-03 eta: 8:17:58 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 7.2548 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8272 loss: 0.8272 2022/06/30 12:05:25 - mmengine - INFO - Epoch(train) [72][120/3757] lr: 1.000e-03 eta: 8:17:52 time: 0.255 data_time: 0.012 memory: 6404 grad_norm: 7.4542 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3501 loss: 1.3501 2022/06/30 12:05:31 - mmengine - INFO - Epoch(train) [72][140/3757] lr: 1.000e-03 eta: 8:17:47 time: 0.282 data_time: 0.007 memory: 6404 grad_norm: 7.2911 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0751 loss: 1.0751 2022/06/30 12:05:36 - mmengine - INFO - Epoch(train) [72][160/3757] lr: 1.000e-03 eta: 8:17:41 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.3352 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3707 loss: 1.3707 2022/06/30 12:05:42 - mmengine - INFO - Epoch(train) [72][180/3757] lr: 1.000e-03 eta: 8:17:36 time: 0.369 data_time: 0.011 memory: 6404 grad_norm: 8.7791 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1997 loss: 1.1997 2022/06/30 12:05:47 - mmengine - INFO - Epoch(train) [72][200/3757] lr: 1.000e-03 eta: 8:17:30 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.5834 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9355 loss: 0.9355 2022/06/30 12:05:53 - mmengine - INFO - Epoch(train) [72][220/3757] lr: 1.000e-03 eta: 8:17:25 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 8.7513 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1321 loss: 1.1321 2022/06/30 12:05:58 - mmengine - INFO - Epoch(train) [72][240/3757] lr: 1.000e-03 eta: 8:17:19 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 8.1681 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0068 loss: 1.0068 2022/06/30 12:06:01 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 12:06:03 - mmengine - INFO - Epoch(train) [72][260/3757] lr: 1.000e-03 eta: 8:17:14 time: 0.246 data_time: 0.021 memory: 6404 grad_norm: 8.9922 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3591 loss: 1.3591 2022/06/30 12:06:09 - mmengine - INFO - Epoch(train) [72][280/3757] lr: 1.000e-03 eta: 8:17:08 time: 0.560 data_time: 0.007 memory: 6404 grad_norm: 7.0684 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1811 loss: 1.1811 2022/06/30 12:06:15 - mmengine - INFO - Epoch(train) [72][300/3757] lr: 1.000e-03 eta: 8:17:03 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 8.0359 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1574 loss: 1.1574 2022/06/30 12:06:20 - mmengine - INFO - Epoch(train) [72][320/3757] lr: 1.000e-03 eta: 8:16:57 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.2598 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1488 loss: 1.1488 2022/06/30 12:06:26 - mmengine - INFO - Epoch(train) [72][340/3757] lr: 1.000e-03 eta: 8:16:52 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.0535 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4658 loss: 1.4658 2022/06/30 12:06:31 - mmengine - INFO - Epoch(train) [72][360/3757] lr: 1.000e-03 eta: 8:16:46 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 7.2578 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1746 loss: 1.1746 2022/06/30 12:06:37 - mmengine - INFO - Epoch(train) [72][380/3757] lr: 1.000e-03 eta: 8:16:41 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 7.1762 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9717 loss: 0.9717 2022/06/30 12:06:43 - mmengine - INFO - Epoch(train) [72][400/3757] lr: 1.000e-03 eta: 8:16:35 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 7.1524 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1587 loss: 1.1587 2022/06/30 12:06:48 - mmengine - INFO - Epoch(train) [72][420/3757] lr: 1.000e-03 eta: 8:16:30 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.6608 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9420 loss: 0.9420 2022/06/30 12:06:54 - mmengine - INFO - Epoch(train) [72][440/3757] lr: 1.000e-03 eta: 8:16:24 time: 0.264 data_time: 0.068 memory: 6404 grad_norm: 8.1199 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1246 loss: 1.1246 2022/06/30 12:06:59 - mmengine - INFO - Epoch(train) [72][460/3757] lr: 1.000e-03 eta: 8:16:19 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 7.6086 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2927 loss: 1.2927 2022/06/30 12:07:05 - mmengine - INFO - Epoch(train) [72][480/3757] lr: 1.000e-03 eta: 8:16:13 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 8.8964 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3282 loss: 1.3282 2022/06/30 12:07:10 - mmengine - INFO - Epoch(train) [72][500/3757] lr: 1.000e-03 eta: 8:16:08 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 8.2129 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1537 loss: 1.1537 2022/06/30 12:07:15 - mmengine - INFO - Epoch(train) [72][520/3757] lr: 1.000e-03 eta: 8:16:02 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 7.7764 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2637 loss: 1.2637 2022/06/30 12:07:20 - mmengine - INFO - Epoch(train) [72][540/3757] lr: 1.000e-03 eta: 8:15:57 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.5205 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2526 loss: 1.2526 2022/06/30 12:07:26 - mmengine - INFO - Epoch(train) [72][560/3757] lr: 1.000e-03 eta: 8:15:51 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 7.0660 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3512 loss: 1.3512 2022/06/30 12:07:31 - mmengine - INFO - Epoch(train) [72][580/3757] lr: 1.000e-03 eta: 8:15:46 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 9.4277 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2622 loss: 1.2622 2022/06/30 12:07:37 - mmengine - INFO - Epoch(train) [72][600/3757] lr: 1.000e-03 eta: 8:15:40 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 8.6778 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1486 loss: 1.1486 2022/06/30 12:07:43 - mmengine - INFO - Epoch(train) [72][620/3757] lr: 1.000e-03 eta: 8:15:35 time: 0.261 data_time: 0.015 memory: 6404 grad_norm: 8.3617 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1032 loss: 1.1032 2022/06/30 12:07:48 - mmengine - INFO - Epoch(train) [72][640/3757] lr: 1.000e-03 eta: 8:15:29 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 9.2456 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9136 loss: 0.9136 2022/06/30 12:07:53 - mmengine - INFO - Epoch(train) [72][660/3757] lr: 1.000e-03 eta: 8:15:24 time: 0.247 data_time: 0.022 memory: 6404 grad_norm: 8.5489 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1555 loss: 1.1555 2022/06/30 12:07:59 - mmengine - INFO - Epoch(train) [72][680/3757] lr: 1.000e-03 eta: 8:15:18 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.6992 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2717 loss: 1.2717 2022/06/30 12:08:04 - mmengine - INFO - Epoch(train) [72][700/3757] lr: 1.000e-03 eta: 8:15:13 time: 0.259 data_time: 0.019 memory: 6404 grad_norm: 8.2860 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9804 loss: 0.9804 2022/06/30 12:08:10 - mmengine - INFO - Epoch(train) [72][720/3757] lr: 1.000e-03 eta: 8:15:07 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 8.5617 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1669 loss: 1.1669 2022/06/30 12:08:16 - mmengine - INFO - Epoch(train) [72][740/3757] lr: 1.000e-03 eta: 8:15:02 time: 0.289 data_time: 0.007 memory: 6404 grad_norm: 7.3718 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2452 loss: 1.2452 2022/06/30 12:08:21 - mmengine - INFO - Epoch(train) [72][760/3757] lr: 1.000e-03 eta: 8:14:56 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.4420 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1448 loss: 1.1448 2022/06/30 12:08:26 - mmengine - INFO - Epoch(train) [72][780/3757] lr: 1.000e-03 eta: 8:14:51 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 8.2770 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1559 loss: 1.1559 2022/06/30 12:08:32 - mmengine - INFO - Epoch(train) [72][800/3757] lr: 1.000e-03 eta: 8:14:45 time: 0.378 data_time: 0.008 memory: 6404 grad_norm: 7.6503 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2932 loss: 1.2932 2022/06/30 12:08:37 - mmengine - INFO - Epoch(train) [72][820/3757] lr: 1.000e-03 eta: 8:14:40 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 9.2294 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4401 loss: 1.4401 2022/06/30 12:08:42 - mmengine - INFO - Epoch(train) [72][840/3757] lr: 1.000e-03 eta: 8:14:34 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 8.2768 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4483 loss: 1.4483 2022/06/30 12:08:48 - mmengine - INFO - Epoch(train) [72][860/3757] lr: 1.000e-03 eta: 8:14:29 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 10.8386 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4346 loss: 1.4346 2022/06/30 12:08:54 - mmengine - INFO - Epoch(train) [72][880/3757] lr: 1.000e-03 eta: 8:14:23 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 9.2139 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1674 loss: 1.1674 2022/06/30 12:08:59 - mmengine - INFO - Epoch(train) [72][900/3757] lr: 1.000e-03 eta: 8:14:18 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 9.0942 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0044 loss: 1.0044 2022/06/30 12:09:05 - mmengine - INFO - Epoch(train) [72][920/3757] lr: 1.000e-03 eta: 8:14:12 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 6.9886 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8311 loss: 0.8311 2022/06/30 12:09:10 - mmengine - INFO - Epoch(train) [72][940/3757] lr: 1.000e-03 eta: 8:14:07 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 8.2350 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7147 loss: 0.7147 2022/06/30 12:09:15 - mmengine - INFO - Epoch(train) [72][960/3757] lr: 1.000e-03 eta: 8:14:01 time: 0.256 data_time: 0.016 memory: 6404 grad_norm: 8.6778 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8515 loss: 0.8515 2022/06/30 12:09:21 - mmengine - INFO - Epoch(train) [72][980/3757] lr: 1.000e-03 eta: 8:13:56 time: 0.239 data_time: 0.021 memory: 6404 grad_norm: 7.2910 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4320 loss: 1.4320 2022/06/30 12:09:26 - mmengine - INFO - Epoch(train) [72][1000/3757] lr: 1.000e-03 eta: 8:13:50 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 7.1439 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6343 loss: 1.6343 2022/06/30 12:09:32 - mmengine - INFO - Epoch(train) [72][1020/3757] lr: 1.000e-03 eta: 8:13:45 time: 0.300 data_time: 0.011 memory: 6404 grad_norm: 8.8430 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9849 loss: 0.9849 2022/06/30 12:09:37 - mmengine - INFO - Epoch(train) [72][1040/3757] lr: 1.000e-03 eta: 8:13:39 time: 0.254 data_time: 0.023 memory: 6404 grad_norm: 8.1386 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9166 loss: 0.9166 2022/06/30 12:09:43 - mmengine - INFO - Epoch(train) [72][1060/3757] lr: 1.000e-03 eta: 8:13:34 time: 0.505 data_time: 0.007 memory: 6404 grad_norm: 8.1966 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2907 loss: 1.2907 2022/06/30 12:09:49 - mmengine - INFO - Epoch(train) [72][1080/3757] lr: 1.000e-03 eta: 8:13:28 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 6.7345 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1821 loss: 1.1821 2022/06/30 12:09:54 - mmengine - INFO - Epoch(train) [72][1100/3757] lr: 1.000e-03 eta: 8:13:23 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 7.4267 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1450 loss: 1.1450 2022/06/30 12:10:00 - mmengine - INFO - Epoch(train) [72][1120/3757] lr: 1.000e-03 eta: 8:13:17 time: 0.260 data_time: 0.006 memory: 6404 grad_norm: 9.3855 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1788 loss: 1.1788 2022/06/30 12:10:05 - mmengine - INFO - Epoch(train) [72][1140/3757] lr: 1.000e-03 eta: 8:13:12 time: 0.266 data_time: 0.009 memory: 6404 grad_norm: 8.1278 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1974 loss: 1.1974 2022/06/30 12:10:10 - mmengine - INFO - Epoch(train) [72][1160/3757] lr: 1.000e-03 eta: 8:13:06 time: 0.268 data_time: 0.012 memory: 6404 grad_norm: 8.8595 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1118 loss: 1.1118 2022/06/30 12:10:16 - mmengine - INFO - Epoch(train) [72][1180/3757] lr: 1.000e-03 eta: 8:13:01 time: 0.281 data_time: 0.014 memory: 6404 grad_norm: 8.5919 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2603 loss: 1.2603 2022/06/30 12:10:21 - mmengine - INFO - Epoch(train) [72][1200/3757] lr: 1.000e-03 eta: 8:12:55 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 8.3941 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1124 loss: 1.1124 2022/06/30 12:10:27 - mmengine - INFO - Epoch(train) [72][1220/3757] lr: 1.000e-03 eta: 8:12:50 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.6235 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9263 loss: 0.9263 2022/06/30 12:10:33 - mmengine - INFO - Epoch(train) [72][1240/3757] lr: 1.000e-03 eta: 8:12:44 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.7761 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8986 loss: 0.8986 2022/06/30 12:10:36 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 12:10:38 - mmengine - INFO - Epoch(train) [72][1260/3757] lr: 1.000e-03 eta: 8:12:39 time: 0.280 data_time: 0.028 memory: 6404 grad_norm: 7.6365 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2343 loss: 1.2343 2022/06/30 12:10:44 - mmengine - INFO - Epoch(train) [72][1280/3757] lr: 1.000e-03 eta: 8:12:33 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 9.6847 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4651 loss: 1.4651 2022/06/30 12:10:49 - mmengine - INFO - Epoch(train) [72][1300/3757] lr: 1.000e-03 eta: 8:12:28 time: 0.263 data_time: 0.013 memory: 6404 grad_norm: 8.6977 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4506 loss: 1.4506 2022/06/30 12:10:55 - mmengine - INFO - Epoch(train) [72][1320/3757] lr: 1.000e-03 eta: 8:12:22 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 7.6715 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3952 loss: 1.3952 2022/06/30 12:11:00 - mmengine - INFO - Epoch(train) [72][1340/3757] lr: 1.000e-03 eta: 8:12:17 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.9320 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1480 loss: 1.1480 2022/06/30 12:11:05 - mmengine - INFO - Epoch(train) [72][1360/3757] lr: 1.000e-03 eta: 8:12:11 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 7.1056 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9417 loss: 0.9417 2022/06/30 12:11:11 - mmengine - INFO - Epoch(train) [72][1380/3757] lr: 1.000e-03 eta: 8:12:06 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 8.2406 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9956 loss: 0.9956 2022/06/30 12:11:17 - mmengine - INFO - Epoch(train) [72][1400/3757] lr: 1.000e-03 eta: 8:12:00 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.9452 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6682 loss: 1.6682 2022/06/30 12:11:22 - mmengine - INFO - Epoch(train) [72][1420/3757] lr: 1.000e-03 eta: 8:11:55 time: 0.422 data_time: 0.010 memory: 6404 grad_norm: 6.4642 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3122 loss: 1.3122 2022/06/30 12:11:27 - mmengine - INFO - Epoch(train) [72][1440/3757] lr: 1.000e-03 eta: 8:11:49 time: 0.279 data_time: 0.022 memory: 6404 grad_norm: 7.0010 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7114 loss: 0.7114 2022/06/30 12:11:32 - mmengine - INFO - Epoch(train) [72][1460/3757] lr: 1.000e-03 eta: 8:11:44 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 9.1890 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3266 loss: 1.3266 2022/06/30 12:11:38 - mmengine - INFO - Epoch(train) [72][1480/3757] lr: 1.000e-03 eta: 8:11:38 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 6.9948 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1679 loss: 1.1679 2022/06/30 12:11:43 - mmengine - INFO - Epoch(train) [72][1500/3757] lr: 1.000e-03 eta: 8:11:32 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 9.2819 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1859 loss: 1.1859 2022/06/30 12:11:48 - mmengine - INFO - Epoch(train) [72][1520/3757] lr: 1.000e-03 eta: 8:11:27 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 8.7339 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0474 loss: 1.0474 2022/06/30 12:11:54 - mmengine - INFO - Epoch(train) [72][1540/3757] lr: 1.000e-03 eta: 8:11:22 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 10.2446 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1692 loss: 1.1692 2022/06/30 12:12:00 - mmengine - INFO - Epoch(train) [72][1560/3757] lr: 1.000e-03 eta: 8:11:16 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 7.4322 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9556 loss: 0.9556 2022/06/30 12:12:05 - mmengine - INFO - Epoch(train) [72][1580/3757] lr: 1.000e-03 eta: 8:11:11 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 9.1407 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0846 loss: 1.0846 2022/06/30 12:12:11 - mmengine - INFO - Epoch(train) [72][1600/3757] lr: 1.000e-03 eta: 8:11:05 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 7.9619 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2475 loss: 1.2475 2022/06/30 12:12:16 - mmengine - INFO - Epoch(train) [72][1620/3757] lr: 1.000e-03 eta: 8:11:00 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 8.5719 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8203 loss: 0.8203 2022/06/30 12:12:22 - mmengine - INFO - Epoch(train) [72][1640/3757] lr: 1.000e-03 eta: 8:10:54 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 7.9261 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3433 loss: 1.3433 2022/06/30 12:12:27 - mmengine - INFO - Epoch(train) [72][1660/3757] lr: 1.000e-03 eta: 8:10:49 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 9.1504 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0609 loss: 1.0609 2022/06/30 12:12:33 - mmengine - INFO - Epoch(train) [72][1680/3757] lr: 1.000e-03 eta: 8:10:43 time: 0.276 data_time: 0.007 memory: 6404 grad_norm: 8.4012 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1085 loss: 1.1085 2022/06/30 12:12:38 - mmengine - INFO - Epoch(train) [72][1700/3757] lr: 1.000e-03 eta: 8:10:38 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.1359 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2184 loss: 1.2184 2022/06/30 12:12:44 - mmengine - INFO - Epoch(train) [72][1720/3757] lr: 1.000e-03 eta: 8:10:32 time: 0.253 data_time: 0.017 memory: 6404 grad_norm: 7.9148 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3184 loss: 1.3184 2022/06/30 12:12:49 - mmengine - INFO - Epoch(train) [72][1740/3757] lr: 1.000e-03 eta: 8:10:27 time: 0.511 data_time: 0.007 memory: 6404 grad_norm: 7.5614 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1768 loss: 1.1768 2022/06/30 12:12:55 - mmengine - INFO - Epoch(train) [72][1760/3757] lr: 1.000e-03 eta: 8:10:21 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 7.1711 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0464 loss: 1.0464 2022/06/30 12:13:00 - mmengine - INFO - Epoch(train) [72][1780/3757] lr: 1.000e-03 eta: 8:10:16 time: 0.255 data_time: 0.024 memory: 6404 grad_norm: 8.4499 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3055 loss: 1.3055 2022/06/30 12:13:06 - mmengine - INFO - Epoch(train) [72][1800/3757] lr: 1.000e-03 eta: 8:10:10 time: 0.282 data_time: 0.007 memory: 6404 grad_norm: 7.0189 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2928 loss: 1.2928 2022/06/30 12:13:11 - mmengine - INFO - Epoch(train) [72][1820/3757] lr: 1.000e-03 eta: 8:10:05 time: 0.269 data_time: 0.008 memory: 6404 grad_norm: 7.5888 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9970 loss: 0.9970 2022/06/30 12:13:16 - mmengine - INFO - Epoch(train) [72][1840/3757] lr: 1.000e-03 eta: 8:09:59 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 8.2974 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6624 loss: 0.6624 2022/06/30 12:13:22 - mmengine - INFO - Epoch(train) [72][1860/3757] lr: 1.000e-03 eta: 8:09:54 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.6787 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4028 loss: 1.4028 2022/06/30 12:13:27 - mmengine - INFO - Epoch(train) [72][1880/3757] lr: 1.000e-03 eta: 8:09:48 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 7.2149 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9938 loss: 0.9938 2022/06/30 12:13:33 - mmengine - INFO - Epoch(train) [72][1900/3757] lr: 1.000e-03 eta: 8:09:43 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.8869 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3149 loss: 1.3149 2022/06/30 12:13:38 - mmengine - INFO - Epoch(train) [72][1920/3757] lr: 1.000e-03 eta: 8:09:37 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 9.0055 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3354 loss: 1.3354 2022/06/30 12:13:44 - mmengine - INFO - Epoch(train) [72][1940/3757] lr: 1.000e-03 eta: 8:09:32 time: 0.256 data_time: 0.025 memory: 6404 grad_norm: 7.5493 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2739 loss: 1.2739 2022/06/30 12:13:50 - mmengine - INFO - Epoch(train) [72][1960/3757] lr: 1.000e-03 eta: 8:09:26 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 7.1294 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6315 loss: 1.6315 2022/06/30 12:13:55 - mmengine - INFO - Epoch(train) [72][1980/3757] lr: 1.000e-03 eta: 8:09:21 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 8.7083 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9945 loss: 0.9945 2022/06/30 12:14:01 - mmengine - INFO - Epoch(train) [72][2000/3757] lr: 1.000e-03 eta: 8:09:15 time: 0.365 data_time: 0.169 memory: 6404 grad_norm: 9.5382 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9865 loss: 0.9865 2022/06/30 12:14:06 - mmengine - INFO - Epoch(train) [72][2020/3757] lr: 1.000e-03 eta: 8:09:10 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.5047 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9065 loss: 0.9065 2022/06/30 12:14:12 - mmengine - INFO - Epoch(train) [72][2040/3757] lr: 1.000e-03 eta: 8:09:04 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 8.6632 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2196 loss: 1.2196 2022/06/30 12:14:18 - mmengine - INFO - Epoch(train) [72][2060/3757] lr: 1.000e-03 eta: 8:08:59 time: 0.264 data_time: 0.070 memory: 6404 grad_norm: 6.6456 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1752 loss: 1.1752 2022/06/30 12:14:23 - mmengine - INFO - Epoch(train) [72][2080/3757] lr: 1.000e-03 eta: 8:08:53 time: 0.238 data_time: 0.007 memory: 6404 grad_norm: 7.4660 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1735 loss: 1.1735 2022/06/30 12:14:28 - mmengine - INFO - Epoch(train) [72][2100/3757] lr: 1.000e-03 eta: 8:08:48 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 8.7071 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2341 loss: 1.2341 2022/06/30 12:14:34 - mmengine - INFO - Epoch(train) [72][2120/3757] lr: 1.000e-03 eta: 8:08:42 time: 0.277 data_time: 0.086 memory: 6404 grad_norm: 6.5971 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6131 loss: 0.6131 2022/06/30 12:14:39 - mmengine - INFO - Epoch(train) [72][2140/3757] lr: 1.000e-03 eta: 8:08:37 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.0617 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3479 loss: 1.3479 2022/06/30 12:14:44 - mmengine - INFO - Epoch(train) [72][2160/3757] lr: 1.000e-03 eta: 8:08:31 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 9.0466 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3264 loss: 1.3264 2022/06/30 12:14:50 - mmengine - INFO - Epoch(train) [72][2180/3757] lr: 1.000e-03 eta: 8:08:26 time: 0.244 data_time: 0.042 memory: 6404 grad_norm: 8.2471 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9654 loss: 0.9654 2022/06/30 12:14:55 - mmengine - INFO - Epoch(train) [72][2200/3757] lr: 1.000e-03 eta: 8:08:20 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 8.7673 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3826 loss: 1.3826 2022/06/30 12:15:00 - mmengine - INFO - Epoch(train) [72][2220/3757] lr: 1.000e-03 eta: 8:08:14 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 7.2482 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9704 loss: 0.9704 2022/06/30 12:15:06 - mmengine - INFO - Epoch(train) [72][2240/3757] lr: 1.000e-03 eta: 8:08:09 time: 0.258 data_time: 0.061 memory: 6404 grad_norm: 10.0402 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5329 loss: 1.5329 2022/06/30 12:15:10 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 12:15:11 - mmengine - INFO - Epoch(train) [72][2260/3757] lr: 1.000e-03 eta: 8:08:03 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 9.5134 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2459 loss: 1.2459 2022/06/30 12:15:17 - mmengine - INFO - Epoch(train) [72][2280/3757] lr: 1.000e-03 eta: 8:07:58 time: 0.242 data_time: 0.008 memory: 6404 grad_norm: 8.2101 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9449 loss: 0.9449 2022/06/30 12:15:23 - mmengine - INFO - Epoch(train) [72][2300/3757] lr: 1.000e-03 eta: 8:07:53 time: 0.274 data_time: 0.078 memory: 6404 grad_norm: 8.3213 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8564 loss: 0.8564 2022/06/30 12:15:28 - mmengine - INFO - Epoch(train) [72][2320/3757] lr: 1.000e-03 eta: 8:07:47 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 8.0045 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1793 loss: 1.1793 2022/06/30 12:15:34 - mmengine - INFO - Epoch(train) [72][2340/3757] lr: 1.000e-03 eta: 8:07:42 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 8.6260 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3617 loss: 1.3617 2022/06/30 12:15:39 - mmengine - INFO - Epoch(train) [72][2360/3757] lr: 1.000e-03 eta: 8:07:36 time: 0.516 data_time: 0.328 memory: 6404 grad_norm: 6.5008 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2237 loss: 1.2237 2022/06/30 12:15:45 - mmengine - INFO - Epoch(train) [72][2380/3757] lr: 1.000e-03 eta: 8:07:31 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 9.2764 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1828 loss: 1.1828 2022/06/30 12:15:50 - mmengine - INFO - Epoch(train) [72][2400/3757] lr: 1.000e-03 eta: 8:07:25 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 8.5026 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0399 loss: 1.0399 2022/06/30 12:15:56 - mmengine - INFO - Epoch(train) [72][2420/3757] lr: 1.000e-03 eta: 8:07:20 time: 0.251 data_time: 0.063 memory: 6404 grad_norm: 8.2815 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0834 loss: 1.0834 2022/06/30 12:16:01 - mmengine - INFO - Epoch(train) [72][2440/3757] lr: 1.000e-03 eta: 8:07:14 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 8.1127 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1840 loss: 1.1840 2022/06/30 12:16:07 - mmengine - INFO - Epoch(train) [72][2460/3757] lr: 1.000e-03 eta: 8:07:09 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 9.3047 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9977 loss: 0.9977 2022/06/30 12:16:12 - mmengine - INFO - Epoch(train) [72][2480/3757] lr: 1.000e-03 eta: 8:07:03 time: 0.267 data_time: 0.034 memory: 6404 grad_norm: 7.6551 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2890 loss: 1.2890 2022/06/30 12:16:17 - mmengine - INFO - Epoch(train) [72][2500/3757] lr: 1.000e-03 eta: 8:06:58 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.4682 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1058 loss: 1.1058 2022/06/30 12:16:23 - mmengine - INFO - Epoch(train) [72][2520/3757] lr: 1.000e-03 eta: 8:06:52 time: 0.245 data_time: 0.026 memory: 6404 grad_norm: 8.4606 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9279 loss: 0.9279 2022/06/30 12:16:29 - mmengine - INFO - Epoch(train) [72][2540/3757] lr: 1.000e-03 eta: 8:06:47 time: 0.276 data_time: 0.070 memory: 6404 grad_norm: 8.4595 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4995 loss: 1.4995 2022/06/30 12:16:35 - mmengine - INFO - Epoch(train) [72][2560/3757] lr: 1.000e-03 eta: 8:06:42 time: 0.270 data_time: 0.022 memory: 6404 grad_norm: 8.6322 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1589 loss: 1.1589 2022/06/30 12:16:41 - mmengine - INFO - Epoch(train) [72][2580/3757] lr: 1.000e-03 eta: 8:06:36 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 8.7355 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6386 loss: 1.6386 2022/06/30 12:16:46 - mmengine - INFO - Epoch(train) [72][2600/3757] lr: 1.000e-03 eta: 8:06:31 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 7.5928 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5695 loss: 1.5695 2022/06/30 12:16:51 - mmengine - INFO - Epoch(train) [72][2620/3757] lr: 1.000e-03 eta: 8:06:25 time: 0.300 data_time: 0.013 memory: 6404 grad_norm: 7.4387 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2941 loss: 1.2941 2022/06/30 12:16:56 - mmengine - INFO - Epoch(train) [72][2640/3757] lr: 1.000e-03 eta: 8:06:19 time: 0.275 data_time: 0.011 memory: 6404 grad_norm: 7.6936 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9747 loss: 0.9747 2022/06/30 12:17:02 - mmengine - INFO - Epoch(train) [72][2660/3757] lr: 1.000e-03 eta: 8:06:14 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 8.0502 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8943 loss: 0.8943 2022/06/30 12:17:07 - mmengine - INFO - Epoch(train) [72][2680/3757] lr: 1.000e-03 eta: 8:06:08 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 9.3760 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3284 loss: 1.3284 2022/06/30 12:17:12 - mmengine - INFO - Epoch(train) [72][2700/3757] lr: 1.000e-03 eta: 8:06:02 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 7.4099 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0440 loss: 1.0440 2022/06/30 12:17:17 - mmengine - INFO - Epoch(train) [72][2720/3757] lr: 1.000e-03 eta: 8:05:57 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 6.9723 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4203 loss: 1.4203 2022/06/30 12:17:22 - mmengine - INFO - Epoch(train) [72][2740/3757] lr: 1.000e-03 eta: 8:05:51 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 9.1083 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0983 loss: 1.0983 2022/06/30 12:17:28 - mmengine - INFO - Epoch(train) [72][2760/3757] lr: 1.000e-03 eta: 8:05:46 time: 0.245 data_time: 0.030 memory: 6404 grad_norm: 8.3554 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0987 loss: 1.0987 2022/06/30 12:17:34 - mmengine - INFO - Epoch(train) [72][2780/3757] lr: 1.000e-03 eta: 8:05:40 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 7.0238 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9353 loss: 0.9353 2022/06/30 12:17:39 - mmengine - INFO - Epoch(train) [72][2800/3757] lr: 1.000e-03 eta: 8:05:35 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 7.5676 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8896 loss: 0.8896 2022/06/30 12:17:45 - mmengine - INFO - Epoch(train) [72][2820/3757] lr: 1.000e-03 eta: 8:05:30 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 8.7193 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2454 loss: 1.2454 2022/06/30 12:17:50 - mmengine - INFO - Epoch(train) [72][2840/3757] lr: 1.000e-03 eta: 8:05:24 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 7.1784 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5252 loss: 1.5252 2022/06/30 12:17:56 - mmengine - INFO - Epoch(train) [72][2860/3757] lr: 1.000e-03 eta: 8:05:19 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 8.8637 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3021 loss: 1.3021 2022/06/30 12:18:01 - mmengine - INFO - Epoch(train) [72][2880/3757] lr: 1.000e-03 eta: 8:05:13 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 8.6485 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3862 loss: 1.3862 2022/06/30 12:18:07 - mmengine - INFO - Epoch(train) [72][2900/3757] lr: 1.000e-03 eta: 8:05:07 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.3821 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2832 loss: 1.2832 2022/06/30 12:18:12 - mmengine - INFO - Epoch(train) [72][2920/3757] lr: 1.000e-03 eta: 8:05:02 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 8.5897 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1783 loss: 1.1783 2022/06/30 12:18:17 - mmengine - INFO - Epoch(train) [72][2940/3757] lr: 1.000e-03 eta: 8:04:56 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.0615 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2051 loss: 1.2051 2022/06/30 12:18:23 - mmengine - INFO - Epoch(train) [72][2960/3757] lr: 1.000e-03 eta: 8:04:51 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 7.4529 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1026 loss: 1.1026 2022/06/30 12:18:28 - mmengine - INFO - Epoch(train) [72][2980/3757] lr: 1.000e-03 eta: 8:04:45 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 7.3706 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4098 loss: 1.4098 2022/06/30 12:18:34 - mmengine - INFO - Epoch(train) [72][3000/3757] lr: 1.000e-03 eta: 8:04:40 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 8.0651 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9051 loss: 0.9051 2022/06/30 12:18:40 - mmengine - INFO - Epoch(train) [72][3020/3757] lr: 1.000e-03 eta: 8:04:34 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 7.6180 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0389 loss: 1.0389 2022/06/30 12:18:45 - mmengine - INFO - Epoch(train) [72][3040/3757] lr: 1.000e-03 eta: 8:04:29 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 9.0133 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9767 loss: 0.9767 2022/06/30 12:18:50 - mmengine - INFO - Epoch(train) [72][3060/3757] lr: 1.000e-03 eta: 8:04:23 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 6.6588 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7621 loss: 0.7621 2022/06/30 12:18:57 - mmengine - INFO - Epoch(train) [72][3080/3757] lr: 1.000e-03 eta: 8:04:18 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.6119 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0360 loss: 1.0360 2022/06/30 12:19:02 - mmengine - INFO - Epoch(train) [72][3100/3757] lr: 1.000e-03 eta: 8:04:13 time: 0.300 data_time: 0.014 memory: 6404 grad_norm: 9.0954 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2683 loss: 1.2683 2022/06/30 12:19:07 - mmengine - INFO - Epoch(train) [72][3120/3757] lr: 1.000e-03 eta: 8:04:07 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 7.9806 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0157 loss: 1.0157 2022/06/30 12:19:13 - mmengine - INFO - Epoch(train) [72][3140/3757] lr: 1.000e-03 eta: 8:04:02 time: 0.405 data_time: 0.019 memory: 6404 grad_norm: 8.0011 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3408 loss: 1.3408 2022/06/30 12:19:18 - mmengine - INFO - Epoch(train) [72][3160/3757] lr: 1.000e-03 eta: 8:03:56 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 7.7823 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1720 loss: 1.1720 2022/06/30 12:19:23 - mmengine - INFO - Epoch(train) [72][3180/3757] lr: 1.000e-03 eta: 8:03:50 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 7.2506 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2307 loss: 1.2307 2022/06/30 12:19:29 - mmengine - INFO - Epoch(train) [72][3200/3757] lr: 1.000e-03 eta: 8:03:45 time: 0.261 data_time: 0.011 memory: 6404 grad_norm: 8.6234 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9686 loss: 0.9686 2022/06/30 12:19:34 - mmengine - INFO - Epoch(train) [72][3220/3757] lr: 1.000e-03 eta: 8:03:39 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 7.9313 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9538 loss: 0.9538 2022/06/30 12:19:39 - mmengine - INFO - Epoch(train) [72][3240/3757] lr: 1.000e-03 eta: 8:03:34 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 6.4144 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0608 loss: 1.0608 2022/06/30 12:19:43 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 12:19:45 - mmengine - INFO - Epoch(train) [72][3260/3757] lr: 1.000e-03 eta: 8:03:28 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 5.9927 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8551 loss: 0.8551 2022/06/30 12:19:50 - mmengine - INFO - Epoch(train) [72][3280/3757] lr: 1.000e-03 eta: 8:03:23 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 9.0985 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3461 loss: 1.3461 2022/06/30 12:19:56 - mmengine - INFO - Epoch(train) [72][3300/3757] lr: 1.000e-03 eta: 8:03:17 time: 0.266 data_time: 0.008 memory: 6404 grad_norm: 7.8467 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2920 loss: 1.2920 2022/06/30 12:20:01 - mmengine - INFO - Epoch(train) [72][3320/3757] lr: 1.000e-03 eta: 8:03:12 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 6.6114 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4481 loss: 1.4481 2022/06/30 12:20:07 - mmengine - INFO - Epoch(train) [72][3340/3757] lr: 1.000e-03 eta: 8:03:06 time: 0.297 data_time: 0.006 memory: 6404 grad_norm: 8.7559 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5449 loss: 1.5449 2022/06/30 12:20:12 - mmengine - INFO - Epoch(train) [72][3360/3757] lr: 1.000e-03 eta: 8:03:01 time: 0.242 data_time: 0.015 memory: 6404 grad_norm: 8.6723 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3045 loss: 1.3045 2022/06/30 12:20:19 - mmengine - INFO - Epoch(train) [72][3380/3757] lr: 1.000e-03 eta: 8:02:56 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.9932 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2023 loss: 1.2023 2022/06/30 12:20:24 - mmengine - INFO - Epoch(train) [72][3400/3757] lr: 1.000e-03 eta: 8:02:50 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.5086 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3592 loss: 1.3592 2022/06/30 12:20:29 - mmengine - INFO - Epoch(train) [72][3420/3757] lr: 1.000e-03 eta: 8:02:44 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 9.0115 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2085 loss: 1.2085 2022/06/30 12:20:35 - mmengine - INFO - Epoch(train) [72][3440/3757] lr: 1.000e-03 eta: 8:02:39 time: 0.248 data_time: 0.015 memory: 6404 grad_norm: 8.0602 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2402 loss: 1.2402 2022/06/30 12:20:40 - mmengine - INFO - Epoch(train) [72][3460/3757] lr: 1.000e-03 eta: 8:02:33 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 7.8209 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5343 loss: 1.5343 2022/06/30 12:20:45 - mmengine - INFO - Epoch(train) [72][3480/3757] lr: 1.000e-03 eta: 8:02:28 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 8.9190 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2733 loss: 1.2733 2022/06/30 12:20:50 - mmengine - INFO - Epoch(train) [72][3500/3757] lr: 1.000e-03 eta: 8:02:22 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 8.0671 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0635 loss: 1.0635 2022/06/30 12:20:56 - mmengine - INFO - Epoch(train) [72][3520/3757] lr: 1.000e-03 eta: 8:02:17 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 7.9960 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4257 loss: 1.4257 2022/06/30 12:21:01 - mmengine - INFO - Epoch(train) [72][3540/3757] lr: 1.000e-03 eta: 8:02:11 time: 0.260 data_time: 0.020 memory: 6404 grad_norm: 10.0034 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7063 loss: 1.7063 2022/06/30 12:21:06 - mmengine - INFO - Epoch(train) [72][3560/3757] lr: 1.000e-03 eta: 8:02:05 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 9.0208 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3984 loss: 1.3984 2022/06/30 12:21:12 - mmengine - INFO - Epoch(train) [72][3580/3757] lr: 1.000e-03 eta: 8:02:00 time: 0.651 data_time: 0.013 memory: 6404 grad_norm: 6.4948 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0822 loss: 1.0822 2022/06/30 12:21:17 - mmengine - INFO - Epoch(train) [72][3600/3757] lr: 1.000e-03 eta: 8:01:55 time: 0.259 data_time: 0.012 memory: 6404 grad_norm: 8.9318 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1055 loss: 1.1055 2022/06/30 12:21:23 - mmengine - INFO - Epoch(train) [72][3620/3757] lr: 1.000e-03 eta: 8:01:49 time: 0.329 data_time: 0.007 memory: 6404 grad_norm: 6.9316 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3198 loss: 1.3198 2022/06/30 12:21:28 - mmengine - INFO - Epoch(train) [72][3640/3757] lr: 1.000e-03 eta: 8:01:43 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 10.1445 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0751 loss: 1.0751 2022/06/30 12:21:34 - mmengine - INFO - Epoch(train) [72][3660/3757] lr: 1.000e-03 eta: 8:01:38 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 7.5654 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1010 loss: 1.1010 2022/06/30 12:21:39 - mmengine - INFO - Epoch(train) [72][3680/3757] lr: 1.000e-03 eta: 8:01:33 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 9.1178 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3795 loss: 1.3795 2022/06/30 12:21:45 - mmengine - INFO - Epoch(train) [72][3700/3757] lr: 1.000e-03 eta: 8:01:27 time: 0.269 data_time: 0.014 memory: 6404 grad_norm: 8.7055 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3006 loss: 1.3006 2022/06/30 12:21:50 - mmengine - INFO - Epoch(train) [72][3720/3757] lr: 1.000e-03 eta: 8:01:22 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 9.0643 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8723 loss: 0.8723 2022/06/30 12:21:56 - mmengine - INFO - Epoch(train) [72][3740/3757] lr: 1.000e-03 eta: 8:01:16 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 8.6770 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9275 loss: 0.9275 2022/06/30 12:22:00 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 12:22:07 - mmengine - INFO - Epoch(val) [72][20/310] eta: 0:01:25 time: 0.098 data_time: 0.010 memory: 6404 2022/06/30 12:22:13 - mmengine - INFO - Epoch(val) [72][40/310] eta: 0:01:22 time: 0.089 data_time: 0.005 memory: 1479 2022/06/30 12:22:17 - mmengine - INFO - Epoch(val) [72][60/310] eta: 0:00:34 time: 0.079 data_time: 0.006 memory: 1479 2022/06/30 12:22:23 - mmengine - INFO - Epoch(val) [72][80/310] eta: 0:01:14 time: 0.098 data_time: 0.007 memory: 1479 2022/06/30 12:22:29 - mmengine - INFO - Epoch(val) [72][100/310] eta: 0:00:58 time: 0.077 data_time: 0.005 memory: 1479 2022/06/30 12:22:33 - mmengine - INFO - Epoch(val) [72][120/310] eta: 0:00:36 time: 0.092 data_time: 0.010 memory: 1479 2022/06/30 12:22:39 - mmengine - INFO - Epoch(val) [72][140/310] eta: 0:00:46 time: 0.101 data_time: 0.019 memory: 1479 2022/06/30 12:22:45 - mmengine - INFO - Epoch(val) [72][160/310] eta: 0:00:46 time: 0.082 data_time: 0.005 memory: 1479 2022/06/30 12:22:49 - mmengine - INFO - Epoch(val) [72][180/310] eta: 0:00:33 time: 0.079 data_time: 0.005 memory: 1479 2022/06/30 12:22:54 - mmengine - INFO - Epoch(val) [72][200/310] eta: 0:00:31 time: 0.127 data_time: 0.029 memory: 1479 2022/06/30 12:23:01 - mmengine - INFO - Epoch(val) [72][220/310] eta: 0:00:32 time: 0.090 data_time: 0.005 memory: 1479 2022/06/30 12:23:05 - mmengine - INFO - Epoch(val) [72][240/310] eta: 0:00:21 time: 0.087 data_time: 0.009 memory: 1479 2022/06/30 12:23:12 - mmengine - INFO - Epoch(val) [72][260/310] eta: 0:00:15 time: 0.081 data_time: 0.006 memory: 1479 2022/06/30 12:23:17 - mmengine - INFO - Epoch(val) [72][280/310] eta: 0:00:09 time: 0.086 data_time: 0.005 memory: 1479 2022/06/30 12:23:20 - mmengine - INFO - Epoch(val) [72][300/310] eta: 0:00:02 time: 0.077 data_time: 0.006 memory: 1479 2022/06/30 12:23:23 - mmengine - INFO - Epoch(val) [72][310/310] acc/top1: 0.6623 acc/top5: 0.8669 acc/mean1: 0.6621 2022/06/30 12:23:32 - mmengine - INFO - Epoch(train) [73][20/3757] lr: 1.000e-03 eta: 8:01:06 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 7.1559 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9090 loss: 0.9090 2022/06/30 12:23:38 - mmengine - INFO - Epoch(train) [73][40/3757] lr: 1.000e-03 eta: 8:01:01 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.0259 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2072 loss: 1.2072 2022/06/30 12:23:43 - mmengine - INFO - Epoch(train) [73][60/3757] lr: 1.000e-03 eta: 8:00:56 time: 0.332 data_time: 0.010 memory: 6404 grad_norm: 7.6465 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1455 loss: 1.1455 2022/06/30 12:23:49 - mmengine - INFO - Epoch(train) [73][80/3757] lr: 1.000e-03 eta: 8:00:50 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 7.9510 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6500 loss: 0.6500 2022/06/30 12:23:54 - mmengine - INFO - Epoch(train) [73][100/3757] lr: 1.000e-03 eta: 8:00:44 time: 0.259 data_time: 0.006 memory: 6404 grad_norm: 7.8521 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3299 loss: 1.3299 2022/06/30 12:23:59 - mmengine - INFO - Epoch(train) [73][120/3757] lr: 1.000e-03 eta: 8:00:39 time: 0.243 data_time: 0.013 memory: 6404 grad_norm: 7.4239 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2624 loss: 1.2624 2022/06/30 12:24:05 - mmengine - INFO - Epoch(train) [73][140/3757] lr: 1.000e-03 eta: 8:00:33 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 7.4940 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2588 loss: 1.2588 2022/06/30 12:24:10 - mmengine - INFO - Epoch(train) [73][160/3757] lr: 1.000e-03 eta: 8:00:28 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 9.2986 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.2029 loss: 1.2029 2022/06/30 12:24:16 - mmengine - INFO - Epoch(train) [73][180/3757] lr: 1.000e-03 eta: 8:00:22 time: 0.264 data_time: 0.014 memory: 6404 grad_norm: 6.7661 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2607 loss: 1.2607 2022/06/30 12:24:21 - mmengine - INFO - Epoch(train) [73][200/3757] lr: 1.000e-03 eta: 8:00:17 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 6.1644 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1050 loss: 1.1050 2022/06/30 12:24:27 - mmengine - INFO - Epoch(train) [73][220/3757] lr: 1.000e-03 eta: 8:00:11 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.9123 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2737 loss: 1.2737 2022/06/30 12:24:33 - mmengine - INFO - Epoch(train) [73][240/3757] lr: 1.000e-03 eta: 8:00:06 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 5.6723 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1320 loss: 1.1320 2022/06/30 12:24:38 - mmengine - INFO - Epoch(train) [73][260/3757] lr: 1.000e-03 eta: 8:00:00 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 7.9707 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9725 loss: 0.9725 2022/06/30 12:24:43 - mmengine - INFO - Epoch(train) [73][280/3757] lr: 1.000e-03 eta: 7:59:55 time: 0.501 data_time: 0.007 memory: 6404 grad_norm: 7.7751 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9859 loss: 0.9859 2022/06/30 12:24:49 - mmengine - INFO - Epoch(train) [73][300/3757] lr: 1.000e-03 eta: 7:59:49 time: 0.264 data_time: 0.065 memory: 6404 grad_norm: 8.4257 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1293 loss: 1.1293 2022/06/30 12:24:54 - mmengine - INFO - Epoch(train) [73][320/3757] lr: 1.000e-03 eta: 7:59:44 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.9565 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2805 loss: 1.2805 2022/06/30 12:24:59 - mmengine - INFO - Epoch(train) [73][340/3757] lr: 1.000e-03 eta: 7:59:38 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.0007 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2461 loss: 1.2461 2022/06/30 12:25:05 - mmengine - INFO - Epoch(train) [73][360/3757] lr: 1.000e-03 eta: 7:59:33 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 8.5744 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8735 loss: 0.8735 2022/06/30 12:25:10 - mmengine - INFO - Epoch(train) [73][380/3757] lr: 1.000e-03 eta: 7:59:27 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.4611 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1061 loss: 1.1061 2022/06/30 12:25:16 - mmengine - INFO - Epoch(train) [73][400/3757] lr: 1.000e-03 eta: 7:59:22 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 10.1188 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0932 loss: 1.0932 2022/06/30 12:25:21 - mmengine - INFO - Epoch(train) [73][420/3757] lr: 1.000e-03 eta: 7:59:16 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 7.6139 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3202 loss: 1.3202 2022/06/30 12:25:27 - mmengine - INFO - Epoch(train) [73][440/3757] lr: 1.000e-03 eta: 7:59:11 time: 0.263 data_time: 0.011 memory: 6404 grad_norm: 7.2579 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1778 loss: 1.1778 2022/06/30 12:25:32 - mmengine - INFO - Epoch(train) [73][460/3757] lr: 1.000e-03 eta: 7:59:05 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 8.7002 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9296 loss: 0.9296 2022/06/30 12:25:37 - mmengine - INFO - Epoch(train) [73][480/3757] lr: 1.000e-03 eta: 7:59:00 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 6.4523 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2676 loss: 1.2676 2022/06/30 12:25:42 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 12:25:43 - mmengine - INFO - Epoch(train) [73][500/3757] lr: 1.000e-03 eta: 7:58:54 time: 0.255 data_time: 0.018 memory: 6404 grad_norm: 6.9785 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1414 loss: 1.1414 2022/06/30 12:25:48 - mmengine - INFO - Epoch(train) [73][520/3757] lr: 1.000e-03 eta: 7:58:49 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 7.7475 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1616 loss: 1.1616 2022/06/30 12:25:55 - mmengine - INFO - Epoch(train) [73][540/3757] lr: 1.000e-03 eta: 7:58:44 time: 0.259 data_time: 0.015 memory: 6404 grad_norm: 9.1020 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9086 loss: 0.9086 2022/06/30 12:26:00 - mmengine - INFO - Epoch(train) [73][560/3757] lr: 1.000e-03 eta: 7:58:38 time: 0.269 data_time: 0.014 memory: 6404 grad_norm: 8.7695 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8869 loss: 0.8869 2022/06/30 12:26:06 - mmengine - INFO - Epoch(train) [73][580/3757] lr: 1.000e-03 eta: 7:58:32 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 8.6744 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1490 loss: 1.1490 2022/06/30 12:26:11 - mmengine - INFO - Epoch(train) [73][600/3757] lr: 1.000e-03 eta: 7:58:27 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 9.2317 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2921 loss: 1.2921 2022/06/30 12:26:16 - mmengine - INFO - Epoch(train) [73][620/3757] lr: 1.000e-03 eta: 7:58:21 time: 0.237 data_time: 0.011 memory: 6404 grad_norm: 8.5411 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3653 loss: 1.3653 2022/06/30 12:26:21 - mmengine - INFO - Epoch(train) [73][640/3757] lr: 1.000e-03 eta: 7:58:16 time: 0.237 data_time: 0.009 memory: 6404 grad_norm: 8.5286 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1684 loss: 1.1684 2022/06/30 12:26:27 - mmengine - INFO - Epoch(train) [73][660/3757] lr: 1.000e-03 eta: 7:58:10 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 8.8348 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1104 loss: 1.1104 2022/06/30 12:26:32 - mmengine - INFO - Epoch(train) [73][680/3757] lr: 1.000e-03 eta: 7:58:04 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 8.0818 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.0893 loss: 1.0893 2022/06/30 12:26:38 - mmengine - INFO - Epoch(train) [73][700/3757] lr: 1.000e-03 eta: 7:57:59 time: 0.833 data_time: 0.007 memory: 6404 grad_norm: 7.4651 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0161 loss: 1.0161 2022/06/30 12:26:43 - mmengine - INFO - Epoch(train) [73][720/3757] lr: 1.000e-03 eta: 7:57:54 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 8.4381 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2884 loss: 1.2884 2022/06/30 12:26:49 - mmengine - INFO - Epoch(train) [73][740/3757] lr: 1.000e-03 eta: 7:57:48 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 7.5804 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2683 loss: 1.2683 2022/06/30 12:26:55 - mmengine - INFO - Epoch(train) [73][760/3757] lr: 1.000e-03 eta: 7:57:43 time: 0.381 data_time: 0.008 memory: 6404 grad_norm: 8.5965 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4975 loss: 1.4975 2022/06/30 12:27:00 - mmengine - INFO - Epoch(train) [73][780/3757] lr: 1.000e-03 eta: 7:57:37 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 8.1629 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1792 loss: 1.1792 2022/06/30 12:27:06 - mmengine - INFO - Epoch(train) [73][800/3757] lr: 1.000e-03 eta: 7:57:32 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.6751 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0602 loss: 1.0602 2022/06/30 12:27:11 - mmengine - INFO - Epoch(train) [73][820/3757] lr: 1.000e-03 eta: 7:57:26 time: 0.424 data_time: 0.013 memory: 6404 grad_norm: 8.1385 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9436 loss: 0.9436 2022/06/30 12:27:16 - mmengine - INFO - Epoch(train) [73][840/3757] lr: 1.000e-03 eta: 7:57:21 time: 0.246 data_time: 0.012 memory: 6404 grad_norm: 8.9505 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1464 loss: 1.1464 2022/06/30 12:27:22 - mmengine - INFO - Epoch(train) [73][860/3757] lr: 1.000e-03 eta: 7:57:15 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 10.3556 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1324 loss: 1.1324 2022/06/30 12:27:27 - mmengine - INFO - Epoch(train) [73][880/3757] lr: 1.000e-03 eta: 7:57:10 time: 0.255 data_time: 0.015 memory: 6404 grad_norm: 7.1476 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2434 loss: 1.2434 2022/06/30 12:27:33 - mmengine - INFO - Epoch(train) [73][900/3757] lr: 1.000e-03 eta: 7:57:04 time: 0.338 data_time: 0.007 memory: 6404 grad_norm: 6.5901 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7897 loss: 0.7897 2022/06/30 12:27:39 - mmengine - INFO - Epoch(train) [73][920/3757] lr: 1.000e-03 eta: 7:56:59 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 9.5651 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9728 loss: 0.9728 2022/06/30 12:27:44 - mmengine - INFO - Epoch(train) [73][940/3757] lr: 1.000e-03 eta: 7:56:53 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 7.8362 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7072 loss: 0.7072 2022/06/30 12:27:50 - mmengine - INFO - Epoch(train) [73][960/3757] lr: 1.000e-03 eta: 7:56:48 time: 0.267 data_time: 0.010 memory: 6404 grad_norm: 9.3989 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3439 loss: 1.3439 2022/06/30 12:27:55 - mmengine - INFO - Epoch(train) [73][980/3757] lr: 1.000e-03 eta: 7:56:42 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 6.4250 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4969 loss: 1.4969 2022/06/30 12:28:01 - mmengine - INFO - Epoch(train) [73][1000/3757] lr: 1.000e-03 eta: 7:56:37 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 9.0745 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0805 loss: 1.0805 2022/06/30 12:28:06 - mmengine - INFO - Epoch(train) [73][1020/3757] lr: 1.000e-03 eta: 7:56:31 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 7.6438 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1647 loss: 1.1647 2022/06/30 12:28:11 - mmengine - INFO - Epoch(train) [73][1040/3757] lr: 1.000e-03 eta: 7:56:26 time: 0.290 data_time: 0.007 memory: 6404 grad_norm: 8.0368 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3396 loss: 1.3396 2022/06/30 12:28:17 - mmengine - INFO - Epoch(train) [73][1060/3757] lr: 1.000e-03 eta: 7:56:20 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 8.5217 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2292 loss: 1.2292 2022/06/30 12:28:23 - mmengine - INFO - Epoch(train) [73][1080/3757] lr: 1.000e-03 eta: 7:56:15 time: 0.262 data_time: 0.009 memory: 6404 grad_norm: 8.8057 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3357 loss: 1.3357 2022/06/30 12:28:28 - mmengine - INFO - Epoch(train) [73][1100/3757] lr: 1.000e-03 eta: 7:56:09 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 7.7263 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2140 loss: 1.2140 2022/06/30 12:28:34 - mmengine - INFO - Epoch(train) [73][1120/3757] lr: 1.000e-03 eta: 7:56:04 time: 0.247 data_time: 0.035 memory: 6404 grad_norm: 8.0515 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3453 loss: 1.3453 2022/06/30 12:28:40 - mmengine - INFO - Epoch(train) [73][1140/3757] lr: 1.000e-03 eta: 7:55:59 time: 0.275 data_time: 0.011 memory: 6404 grad_norm: 7.2108 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2982 loss: 1.2982 2022/06/30 12:28:45 - mmengine - INFO - Epoch(train) [73][1160/3757] lr: 1.000e-03 eta: 7:55:53 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 7.6040 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9109 loss: 0.9109 2022/06/30 12:28:51 - mmengine - INFO - Epoch(train) [73][1180/3757] lr: 1.000e-03 eta: 7:55:48 time: 0.274 data_time: 0.012 memory: 6404 grad_norm: 7.4503 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0260 loss: 1.0260 2022/06/30 12:28:56 - mmengine - INFO - Epoch(train) [73][1200/3757] lr: 1.000e-03 eta: 7:55:42 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 7.8353 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9449 loss: 0.9449 2022/06/30 12:29:01 - mmengine - INFO - Epoch(train) [73][1220/3757] lr: 1.000e-03 eta: 7:55:37 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 7.3412 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8608 loss: 0.8608 2022/06/30 12:29:07 - mmengine - INFO - Epoch(train) [73][1240/3757] lr: 1.000e-03 eta: 7:55:31 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 6.5209 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2904 loss: 1.2904 2022/06/30 12:29:12 - mmengine - INFO - Epoch(train) [73][1260/3757] lr: 1.000e-03 eta: 7:55:25 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 8.7771 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9986 loss: 0.9986 2022/06/30 12:29:18 - mmengine - INFO - Epoch(train) [73][1280/3757] lr: 1.000e-03 eta: 7:55:20 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 8.7164 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5375 loss: 1.5375 2022/06/30 12:29:23 - mmengine - INFO - Epoch(train) [73][1300/3757] lr: 1.000e-03 eta: 7:55:14 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 7.7324 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0160 loss: 1.0160 2022/06/30 12:29:28 - mmengine - INFO - Epoch(train) [73][1320/3757] lr: 1.000e-03 eta: 7:55:09 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 7.6093 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1092 loss: 1.1092 2022/06/30 12:29:34 - mmengine - INFO - Epoch(train) [73][1340/3757] lr: 1.000e-03 eta: 7:55:03 time: 0.360 data_time: 0.009 memory: 6404 grad_norm: 8.3078 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2277 loss: 1.2277 2022/06/30 12:29:39 - mmengine - INFO - Epoch(train) [73][1360/3757] lr: 1.000e-03 eta: 7:54:58 time: 0.269 data_time: 0.025 memory: 6404 grad_norm: 8.5356 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0936 loss: 1.0936 2022/06/30 12:29:45 - mmengine - INFO - Epoch(train) [73][1380/3757] lr: 1.000e-03 eta: 7:54:52 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 8.7675 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3795 loss: 1.3795 2022/06/30 12:29:51 - mmengine - INFO - Epoch(train) [73][1400/3757] lr: 1.000e-03 eta: 7:54:47 time: 0.270 data_time: 0.008 memory: 6404 grad_norm: 7.6981 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9377 loss: 0.9377 2022/06/30 12:29:56 - mmengine - INFO - Epoch(train) [73][1420/3757] lr: 1.000e-03 eta: 7:54:42 time: 0.284 data_time: 0.007 memory: 6404 grad_norm: 9.1454 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3546 loss: 1.3546 2022/06/30 12:30:02 - mmengine - INFO - Epoch(train) [73][1440/3757] lr: 1.000e-03 eta: 7:54:36 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 6.6539 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1992 loss: 1.1992 2022/06/30 12:30:07 - mmengine - INFO - Epoch(train) [73][1460/3757] lr: 1.000e-03 eta: 7:54:31 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.4755 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2769 loss: 1.2769 2022/06/30 12:30:13 - mmengine - INFO - Epoch(train) [73][1480/3757] lr: 1.000e-03 eta: 7:54:25 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 8.7103 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0369 loss: 1.0369 2022/06/30 12:30:17 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 12:30:18 - mmengine - INFO - Epoch(train) [73][1500/3757] lr: 1.000e-03 eta: 7:54:20 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 9.1113 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1411 loss: 1.1411 2022/06/30 12:30:23 - mmengine - INFO - Epoch(train) [73][1520/3757] lr: 1.000e-03 eta: 7:54:14 time: 0.352 data_time: 0.007 memory: 6404 grad_norm: 9.9204 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4141 loss: 1.4141 2022/06/30 12:30:29 - mmengine - INFO - Epoch(train) [73][1540/3757] lr: 1.000e-03 eta: 7:54:09 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 9.0373 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9029 loss: 0.9029 2022/06/30 12:30:35 - mmengine - INFO - Epoch(train) [73][1560/3757] lr: 1.000e-03 eta: 7:54:03 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 8.5061 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0014 loss: 1.0014 2022/06/30 12:30:40 - mmengine - INFO - Epoch(train) [73][1580/3757] lr: 1.000e-03 eta: 7:53:58 time: 0.273 data_time: 0.008 memory: 6404 grad_norm: 11.0890 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6541 loss: 1.6541 2022/06/30 12:30:46 - mmengine - INFO - Epoch(train) [73][1600/3757] lr: 1.000e-03 eta: 7:53:52 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 8.1970 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2654 loss: 1.2654 2022/06/30 12:30:51 - mmengine - INFO - Epoch(train) [73][1620/3757] lr: 1.000e-03 eta: 7:53:47 time: 0.262 data_time: 0.010 memory: 6404 grad_norm: 6.7687 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0800 loss: 1.0800 2022/06/30 12:30:56 - mmengine - INFO - Epoch(train) [73][1640/3757] lr: 1.000e-03 eta: 7:53:41 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 11.5577 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.2708 loss: 1.2708 2022/06/30 12:31:02 - mmengine - INFO - Epoch(train) [73][1660/3757] lr: 1.000e-03 eta: 7:53:36 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 7.1245 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0248 loss: 1.0248 2022/06/30 12:31:07 - mmengine - INFO - Epoch(train) [73][1680/3757] lr: 1.000e-03 eta: 7:53:30 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 6.2052 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2855 loss: 1.2855 2022/06/30 12:31:13 - mmengine - INFO - Epoch(train) [73][1700/3757] lr: 1.000e-03 eta: 7:53:25 time: 0.607 data_time: 0.007 memory: 6404 grad_norm: 8.6008 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9681 loss: 0.9681 2022/06/30 12:31:19 - mmengine - INFO - Epoch(train) [73][1720/3757] lr: 1.000e-03 eta: 7:53:19 time: 0.275 data_time: 0.007 memory: 6404 grad_norm: 8.1720 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2399 loss: 1.2399 2022/06/30 12:31:25 - mmengine - INFO - Epoch(train) [73][1740/3757] lr: 1.000e-03 eta: 7:53:14 time: 0.299 data_time: 0.018 memory: 6404 grad_norm: 7.9244 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0705 loss: 1.0705 2022/06/30 12:31:30 - mmengine - INFO - Epoch(train) [73][1760/3757] lr: 1.000e-03 eta: 7:53:08 time: 0.259 data_time: 0.012 memory: 6404 grad_norm: 7.9313 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8828 loss: 0.8828 2022/06/30 12:31:36 - mmengine - INFO - Epoch(train) [73][1780/3757] lr: 1.000e-03 eta: 7:53:03 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 8.5231 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9913 loss: 0.9913 2022/06/30 12:31:41 - mmengine - INFO - Epoch(train) [73][1800/3757] lr: 1.000e-03 eta: 7:52:57 time: 0.244 data_time: 0.014 memory: 6404 grad_norm: 9.6889 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3205 loss: 1.3205 2022/06/30 12:31:46 - mmengine - INFO - Epoch(train) [73][1820/3757] lr: 1.000e-03 eta: 7:52:52 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.6170 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9764 loss: 0.9764 2022/06/30 12:31:51 - mmengine - INFO - Epoch(train) [73][1840/3757] lr: 1.000e-03 eta: 7:52:46 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 6.7858 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5469 loss: 1.5469 2022/06/30 12:31:57 - mmengine - INFO - Epoch(train) [73][1860/3757] lr: 1.000e-03 eta: 7:52:41 time: 0.251 data_time: 0.017 memory: 6404 grad_norm: 8.1235 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1916 loss: 1.1916 2022/06/30 12:32:02 - mmengine - INFO - Epoch(train) [73][1880/3757] lr: 1.000e-03 eta: 7:52:35 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 8.3548 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2778 loss: 1.2778 2022/06/30 12:32:07 - mmengine - INFO - Epoch(train) [73][1900/3757] lr: 1.000e-03 eta: 7:52:29 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.7000 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1706 loss: 1.1706 2022/06/30 12:32:12 - mmengine - INFO - Epoch(train) [73][1920/3757] lr: 1.000e-03 eta: 7:52:24 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 8.9226 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9432 loss: 0.9432 2022/06/30 12:32:18 - mmengine - INFO - Epoch(train) [73][1940/3757] lr: 1.000e-03 eta: 7:52:18 time: 0.251 data_time: 0.017 memory: 6404 grad_norm: 7.7040 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0371 loss: 1.0371 2022/06/30 12:32:24 - mmengine - INFO - Epoch(train) [73][1960/3757] lr: 1.000e-03 eta: 7:52:13 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 8.7445 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3198 loss: 1.3198 2022/06/30 12:32:29 - mmengine - INFO - Epoch(train) [73][1980/3757] lr: 1.000e-03 eta: 7:52:08 time: 0.275 data_time: 0.007 memory: 6404 grad_norm: 8.6841 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1594 loss: 1.1594 2022/06/30 12:32:35 - mmengine - INFO - Epoch(train) [73][2000/3757] lr: 1.000e-03 eta: 7:52:02 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.1549 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5854 loss: 1.5854 2022/06/30 12:32:41 - mmengine - INFO - Epoch(train) [73][2020/3757] lr: 1.000e-03 eta: 7:51:57 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 8.5343 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8135 loss: 0.8135 2022/06/30 12:32:46 - mmengine - INFO - Epoch(train) [73][2040/3757] lr: 1.000e-03 eta: 7:51:51 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 6.6391 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8328 loss: 0.8328 2022/06/30 12:32:52 - mmengine - INFO - Epoch(train) [73][2060/3757] lr: 1.000e-03 eta: 7:51:46 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 5.6580 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4626 loss: 1.4626 2022/06/30 12:32:57 - mmengine - INFO - Epoch(train) [73][2080/3757] lr: 1.000e-03 eta: 7:51:40 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 8.2182 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3341 loss: 1.3341 2022/06/30 12:33:02 - mmengine - INFO - Epoch(train) [73][2100/3757] lr: 1.000e-03 eta: 7:51:35 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 9.9253 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0601 loss: 1.0601 2022/06/30 12:33:08 - mmengine - INFO - Epoch(train) [73][2120/3757] lr: 1.000e-03 eta: 7:51:29 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.8857 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0747 loss: 1.0747 2022/06/30 12:33:14 - mmengine - INFO - Epoch(train) [73][2140/3757] lr: 1.000e-03 eta: 7:51:24 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 8.2636 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1145 loss: 1.1145 2022/06/30 12:33:19 - mmengine - INFO - Epoch(train) [73][2160/3757] lr: 1.000e-03 eta: 7:51:18 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 10.1348 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3315 loss: 1.3315 2022/06/30 12:33:24 - mmengine - INFO - Epoch(train) [73][2180/3757] lr: 1.000e-03 eta: 7:51:13 time: 0.262 data_time: 0.017 memory: 6404 grad_norm: 8.8752 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0015 loss: 1.0015 2022/06/30 12:33:30 - mmengine - INFO - Epoch(train) [73][2200/3757] lr: 1.000e-03 eta: 7:51:07 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 7.9811 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2220 loss: 1.2220 2022/06/30 12:33:36 - mmengine - INFO - Epoch(train) [73][2220/3757] lr: 1.000e-03 eta: 7:51:02 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 7.7059 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9661 loss: 0.9661 2022/06/30 12:33:41 - mmengine - INFO - Epoch(train) [73][2240/3757] lr: 1.000e-03 eta: 7:50:56 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 7.2922 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8488 loss: 0.8488 2022/06/30 12:33:47 - mmengine - INFO - Epoch(train) [73][2260/3757] lr: 1.000e-03 eta: 7:50:51 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 9.7284 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2960 loss: 1.2960 2022/06/30 12:33:52 - mmengine - INFO - Epoch(train) [73][2280/3757] lr: 1.000e-03 eta: 7:50:45 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.2694 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1696 loss: 1.1696 2022/06/30 12:33:57 - mmengine - INFO - Epoch(train) [73][2300/3757] lr: 1.000e-03 eta: 7:50:39 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 7.7796 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9912 loss: 0.9912 2022/06/30 12:34:03 - mmengine - INFO - Epoch(train) [73][2320/3757] lr: 1.000e-03 eta: 7:50:34 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.9965 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1551 loss: 1.1551 2022/06/30 12:34:08 - mmengine - INFO - Epoch(train) [73][2340/3757] lr: 1.000e-03 eta: 7:50:29 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 9.3121 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8622 loss: 0.8622 2022/06/30 12:34:14 - mmengine - INFO - Epoch(train) [73][2360/3757] lr: 1.000e-03 eta: 7:50:23 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 7.9115 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9525 loss: 0.9525 2022/06/30 12:34:19 - mmengine - INFO - Epoch(train) [73][2380/3757] lr: 1.000e-03 eta: 7:50:17 time: 0.267 data_time: 0.006 memory: 6404 grad_norm: 9.0416 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9733 loss: 0.9733 2022/06/30 12:34:24 - mmengine - INFO - Epoch(train) [73][2400/3757] lr: 1.000e-03 eta: 7:50:12 time: 0.375 data_time: 0.009 memory: 6404 grad_norm: 7.6943 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1418 loss: 1.1418 2022/06/30 12:34:30 - mmengine - INFO - Epoch(train) [73][2420/3757] lr: 1.000e-03 eta: 7:50:06 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 7.8085 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3312 loss: 1.3312 2022/06/30 12:34:35 - mmengine - INFO - Epoch(train) [73][2440/3757] lr: 1.000e-03 eta: 7:50:01 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 7.9373 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9311 loss: 0.9311 2022/06/30 12:34:41 - mmengine - INFO - Epoch(train) [73][2460/3757] lr: 1.000e-03 eta: 7:49:55 time: 0.285 data_time: 0.009 memory: 6404 grad_norm: 10.4550 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2355 loss: 1.2355 2022/06/30 12:34:46 - mmengine - INFO - Epoch(train) [73][2480/3757] lr: 1.000e-03 eta: 7:49:50 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 8.7105 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1606 loss: 1.1606 2022/06/30 12:34:51 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 12:34:52 - mmengine - INFO - Epoch(train) [73][2500/3757] lr: 1.000e-03 eta: 7:49:44 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 8.4906 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9304 loss: 0.9304 2022/06/30 12:34:57 - mmengine - INFO - Epoch(train) [73][2520/3757] lr: 1.000e-03 eta: 7:49:39 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 9.8807 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2134 loss: 1.2134 2022/06/30 12:35:03 - mmengine - INFO - Epoch(train) [73][2540/3757] lr: 1.000e-03 eta: 7:49:33 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 4.9422 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1189 loss: 1.1189 2022/06/30 12:35:09 - mmengine - INFO - Epoch(train) [73][2560/3757] lr: 1.000e-03 eta: 7:49:28 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 9.7982 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2183 loss: 1.2183 2022/06/30 12:35:15 - mmengine - INFO - Epoch(train) [73][2580/3757] lr: 1.000e-03 eta: 7:49:23 time: 0.275 data_time: 0.030 memory: 6404 grad_norm: 7.9336 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9996 loss: 0.9996 2022/06/30 12:35:20 - mmengine - INFO - Epoch(train) [73][2600/3757] lr: 1.000e-03 eta: 7:49:17 time: 0.272 data_time: 0.010 memory: 6404 grad_norm: 7.2568 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3493 loss: 1.3493 2022/06/30 12:35:25 - mmengine - INFO - Epoch(train) [73][2620/3757] lr: 1.000e-03 eta: 7:49:12 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 8.4266 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9934 loss: 0.9934 2022/06/30 12:35:30 - mmengine - INFO - Epoch(train) [73][2640/3757] lr: 1.000e-03 eta: 7:49:06 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 7.9723 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1501 loss: 1.1501 2022/06/30 12:35:36 - mmengine - INFO - Epoch(train) [73][2660/3757] lr: 1.000e-03 eta: 7:49:01 time: 0.269 data_time: 0.010 memory: 6404 grad_norm: 8.3268 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1546 loss: 1.1546 2022/06/30 12:35:42 - mmengine - INFO - Epoch(train) [73][2680/3757] lr: 1.000e-03 eta: 7:48:55 time: 0.260 data_time: 0.006 memory: 6404 grad_norm: 9.7741 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6418 loss: 1.6418 2022/06/30 12:35:47 - mmengine - INFO - Epoch(train) [73][2700/3757] lr: 1.000e-03 eta: 7:48:50 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 7.9440 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4486 loss: 1.4486 2022/06/30 12:35:52 - mmengine - INFO - Epoch(train) [73][2720/3757] lr: 1.000e-03 eta: 7:48:44 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 8.9666 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8808 loss: 0.8808 2022/06/30 12:35:58 - mmengine - INFO - Epoch(train) [73][2740/3757] lr: 1.000e-03 eta: 7:48:39 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 7.5667 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9021 loss: 0.9021 2022/06/30 12:36:04 - mmengine - INFO - Epoch(train) [73][2760/3757] lr: 1.000e-03 eta: 7:48:33 time: 0.238 data_time: 0.019 memory: 6404 grad_norm: 9.0760 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1795 loss: 1.1795 2022/06/30 12:36:09 - mmengine - INFO - Epoch(train) [73][2780/3757] lr: 1.000e-03 eta: 7:48:28 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 7.6340 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0749 loss: 1.0749 2022/06/30 12:36:14 - mmengine - INFO - Epoch(train) [73][2800/3757] lr: 1.000e-03 eta: 7:48:22 time: 0.268 data_time: 0.008 memory: 6404 grad_norm: 8.0820 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0725 loss: 1.0725 2022/06/30 12:36:20 - mmengine - INFO - Epoch(train) [73][2820/3757] lr: 1.000e-03 eta: 7:48:17 time: 0.255 data_time: 0.012 memory: 6404 grad_norm: 9.9014 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9710 loss: 0.9710 2022/06/30 12:36:25 - mmengine - INFO - Epoch(train) [73][2840/3757] lr: 1.000e-03 eta: 7:48:11 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 8.2213 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0830 loss: 1.0830 2022/06/30 12:36:31 - mmengine - INFO - Epoch(train) [73][2860/3757] lr: 1.000e-03 eta: 7:48:06 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 7.8915 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2293 loss: 1.2293 2022/06/30 12:36:36 - mmengine - INFO - Epoch(train) [73][2880/3757] lr: 1.000e-03 eta: 7:48:00 time: 0.263 data_time: 0.013 memory: 6404 grad_norm: 9.0738 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9676 loss: 0.9676 2022/06/30 12:36:42 - mmengine - INFO - Epoch(train) [73][2900/3757] lr: 1.000e-03 eta: 7:47:55 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 8.0939 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3113 loss: 1.3113 2022/06/30 12:36:47 - mmengine - INFO - Epoch(train) [73][2920/3757] lr: 1.000e-03 eta: 7:47:49 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.8192 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0774 loss: 1.0774 2022/06/30 12:36:53 - mmengine - INFO - Epoch(train) [73][2940/3757] lr: 1.000e-03 eta: 7:47:44 time: 0.269 data_time: 0.010 memory: 6404 grad_norm: 7.7216 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9367 loss: 0.9367 2022/06/30 12:36:58 - mmengine - INFO - Epoch(train) [73][2960/3757] lr: 1.000e-03 eta: 7:47:38 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 8.2110 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0372 loss: 1.0372 2022/06/30 12:37:03 - mmengine - INFO - Epoch(train) [73][2980/3757] lr: 1.000e-03 eta: 7:47:32 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.8277 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2979 loss: 1.2979 2022/06/30 12:37:08 - mmengine - INFO - Epoch(train) [73][3000/3757] lr: 1.000e-03 eta: 7:47:27 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 8.4137 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9333 loss: 0.9333 2022/06/30 12:37:14 - mmengine - INFO - Epoch(train) [73][3020/3757] lr: 1.000e-03 eta: 7:47:21 time: 0.301 data_time: 0.008 memory: 6404 grad_norm: 7.8580 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1009 loss: 1.1009 2022/06/30 12:37:20 - mmengine - INFO - Epoch(train) [73][3040/3757] lr: 1.000e-03 eta: 7:47:16 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.4785 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9704 loss: 0.9704 2022/06/30 12:37:25 - mmengine - INFO - Epoch(train) [73][3060/3757] lr: 1.000e-03 eta: 7:47:10 time: 0.282 data_time: 0.009 memory: 6404 grad_norm: 8.5856 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3762 loss: 1.3762 2022/06/30 12:37:31 - mmengine - INFO - Epoch(train) [73][3080/3757] lr: 1.000e-03 eta: 7:47:05 time: 0.247 data_time: 0.041 memory: 6404 grad_norm: 5.7566 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3181 loss: 1.3181 2022/06/30 12:37:37 - mmengine - INFO - Epoch(train) [73][3100/3757] lr: 1.000e-03 eta: 7:47:00 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 8.6208 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8981 loss: 0.8981 2022/06/30 12:37:42 - mmengine - INFO - Epoch(train) [73][3120/3757] lr: 1.000e-03 eta: 7:46:54 time: 0.263 data_time: 0.012 memory: 6404 grad_norm: 8.4422 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4496 loss: 1.4496 2022/06/30 12:37:47 - mmengine - INFO - Epoch(train) [73][3140/3757] lr: 1.000e-03 eta: 7:46:49 time: 0.275 data_time: 0.021 memory: 6404 grad_norm: 8.0137 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9677 loss: 0.9677 2022/06/30 12:37:52 - mmengine - INFO - Epoch(train) [73][3160/3757] lr: 1.000e-03 eta: 7:46:43 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 8.6137 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3541 loss: 1.3541 2022/06/30 12:37:58 - mmengine - INFO - Epoch(train) [73][3180/3757] lr: 1.000e-03 eta: 7:46:37 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 8.7188 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4183 loss: 1.4183 2022/06/30 12:38:03 - mmengine - INFO - Epoch(train) [73][3200/3757] lr: 1.000e-03 eta: 7:46:32 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 8.0817 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2931 loss: 1.2931 2022/06/30 12:38:09 - mmengine - INFO - Epoch(train) [73][3220/3757] lr: 1.000e-03 eta: 7:46:26 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 8.1476 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1124 loss: 1.1124 2022/06/30 12:38:14 - mmengine - INFO - Epoch(train) [73][3240/3757] lr: 1.000e-03 eta: 7:46:21 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 9.8745 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2946 loss: 1.2946 2022/06/30 12:38:19 - mmengine - INFO - Epoch(train) [73][3260/3757] lr: 1.000e-03 eta: 7:46:15 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 7.8888 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1375 loss: 1.1375 2022/06/30 12:38:25 - mmengine - INFO - Epoch(train) [73][3280/3757] lr: 1.000e-03 eta: 7:46:10 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 7.7861 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4242 loss: 1.4242 2022/06/30 12:38:30 - mmengine - INFO - Epoch(train) [73][3300/3757] lr: 1.000e-03 eta: 7:46:04 time: 0.248 data_time: 0.016 memory: 6404 grad_norm: 7.4145 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0632 loss: 1.0632 2022/06/30 12:38:36 - mmengine - INFO - Epoch(train) [73][3320/3757] lr: 1.000e-03 eta: 7:45:59 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 7.7860 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2175 loss: 1.2175 2022/06/30 12:38:41 - mmengine - INFO - Epoch(train) [73][3340/3757] lr: 1.000e-03 eta: 7:45:53 time: 0.255 data_time: 0.014 memory: 6404 grad_norm: 8.1682 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0352 loss: 1.0352 2022/06/30 12:38:47 - mmengine - INFO - Epoch(train) [73][3360/3757] lr: 1.000e-03 eta: 7:45:48 time: 0.256 data_time: 0.017 memory: 6404 grad_norm: 8.4784 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1699 loss: 1.1699 2022/06/30 12:38:52 - mmengine - INFO - Epoch(train) [73][3380/3757] lr: 1.000e-03 eta: 7:45:42 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 9.8166 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1940 loss: 1.1940 2022/06/30 12:38:59 - mmengine - INFO - Epoch(train) [73][3400/3757] lr: 1.000e-03 eta: 7:45:37 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.4458 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0339 loss: 1.0339 2022/06/30 12:39:04 - mmengine - INFO - Epoch(train) [73][3420/3757] lr: 1.000e-03 eta: 7:45:31 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 7.6200 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2367 loss: 1.2367 2022/06/30 12:39:09 - mmengine - INFO - Epoch(train) [73][3440/3757] lr: 1.000e-03 eta: 7:45:26 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 8.4608 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0487 loss: 1.0487 2022/06/30 12:39:14 - mmengine - INFO - Epoch(train) [73][3460/3757] lr: 1.000e-03 eta: 7:45:20 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 8.9130 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9281 loss: 0.9281 2022/06/30 12:39:20 - mmengine - INFO - Epoch(train) [73][3480/3757] lr: 1.000e-03 eta: 7:45:15 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 7.6545 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9377 loss: 0.9377 2022/06/30 12:39:24 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 12:39:25 - mmengine - INFO - Epoch(train) [73][3500/3757] lr: 1.000e-03 eta: 7:45:09 time: 0.273 data_time: 0.012 memory: 6404 grad_norm: 7.7543 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3271 loss: 1.3271 2022/06/30 12:39:30 - mmengine - INFO - Epoch(train) [73][3520/3757] lr: 1.000e-03 eta: 7:45:04 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 6.0987 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5042 loss: 1.5042 2022/06/30 12:39:36 - mmengine - INFO - Epoch(train) [73][3540/3757] lr: 1.000e-03 eta: 7:44:58 time: 0.259 data_time: 0.012 memory: 6404 grad_norm: 8.7440 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9451 loss: 0.9451 2022/06/30 12:39:41 - mmengine - INFO - Epoch(train) [73][3560/3757] lr: 1.000e-03 eta: 7:44:53 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 8.5007 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9412 loss: 0.9412 2022/06/30 12:39:47 - mmengine - INFO - Epoch(train) [73][3580/3757] lr: 1.000e-03 eta: 7:44:47 time: 0.259 data_time: 0.020 memory: 6404 grad_norm: 8.6398 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4439 loss: 1.4439 2022/06/30 12:39:52 - mmengine - INFO - Epoch(train) [73][3600/3757] lr: 1.000e-03 eta: 7:44:42 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 7.8365 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2790 loss: 1.2790 2022/06/30 12:39:58 - mmengine - INFO - Epoch(train) [73][3620/3757] lr: 1.000e-03 eta: 7:44:36 time: 0.531 data_time: 0.007 memory: 6404 grad_norm: 9.0390 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9975 loss: 0.9975 2022/06/30 12:40:03 - mmengine - INFO - Epoch(train) [73][3640/3757] lr: 1.000e-03 eta: 7:44:31 time: 0.253 data_time: 0.028 memory: 6404 grad_norm: 8.2450 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0730 loss: 1.0730 2022/06/30 12:40:09 - mmengine - INFO - Epoch(train) [73][3660/3757] lr: 1.000e-03 eta: 7:44:25 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 5.6340 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1094 loss: 1.1094 2022/06/30 12:40:15 - mmengine - INFO - Epoch(train) [73][3680/3757] lr: 1.000e-03 eta: 7:44:20 time: 0.424 data_time: 0.007 memory: 6404 grad_norm: 8.7762 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1010 loss: 1.1010 2022/06/30 12:40:20 - mmengine - INFO - Epoch(train) [73][3700/3757] lr: 1.000e-03 eta: 7:44:14 time: 0.265 data_time: 0.031 memory: 6404 grad_norm: 8.0887 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4203 loss: 1.4203 2022/06/30 12:40:25 - mmengine - INFO - Epoch(train) [73][3720/3757] lr: 1.000e-03 eta: 7:44:09 time: 0.276 data_time: 0.010 memory: 6404 grad_norm: 7.2967 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0448 loss: 1.0448 2022/06/30 12:40:31 - mmengine - INFO - Epoch(train) [73][3740/3757] lr: 1.000e-03 eta: 7:44:03 time: 0.481 data_time: 0.006 memory: 6404 grad_norm: 6.9757 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8729 loss: 0.8729 2022/06/30 12:40:35 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 12:40:42 - mmengine - INFO - Epoch(val) [73][20/310] eta: 0:01:26 time: 0.096 data_time: 0.016 memory: 6404 2022/06/30 12:40:47 - mmengine - INFO - Epoch(val) [73][40/310] eta: 0:01:14 time: 0.090 data_time: 0.005 memory: 1479 2022/06/30 12:40:51 - mmengine - INFO - Epoch(val) [73][60/310] eta: 0:00:24 time: 0.087 data_time: 0.012 memory: 1479 2022/06/30 12:40:57 - mmengine - INFO - Epoch(val) [73][80/310] eta: 0:01:10 time: 0.088 data_time: 0.012 memory: 1479 2022/06/30 12:41:03 - mmengine - INFO - Epoch(val) [73][100/310] eta: 0:00:59 time: 0.100 data_time: 0.017 memory: 1479 2022/06/30 12:41:07 - mmengine - INFO - Epoch(val) [73][120/310] eta: 0:00:25 time: 0.096 data_time: 0.011 memory: 1479 2022/06/30 12:41:13 - mmengine - INFO - Epoch(val) [73][140/310] eta: 0:00:52 time: 0.079 data_time: 0.005 memory: 1479 2022/06/30 12:41:19 - mmengine - INFO - Epoch(val) [73][160/310] eta: 0:00:46 time: 0.804 data_time: 0.718 memory: 1479 2022/06/30 12:41:23 - mmengine - INFO - Epoch(val) [73][180/310] eta: 0:00:32 time: 0.080 data_time: 0.006 memory: 1479 2022/06/30 12:41:29 - mmengine - INFO - Epoch(val) [73][200/310] eta: 0:00:30 time: 0.089 data_time: 0.011 memory: 1479 2022/06/30 12:41:35 - mmengine - INFO - Epoch(val) [73][220/310] eta: 0:00:30 time: 0.098 data_time: 0.009 memory: 1479 2022/06/30 12:41:39 - mmengine - INFO - Epoch(val) [73][240/310] eta: 0:00:20 time: 0.085 data_time: 0.006 memory: 1479 2022/06/30 12:41:45 - mmengine - INFO - Epoch(val) [73][260/310] eta: 0:00:15 time: 0.092 data_time: 0.007 memory: 1479 2022/06/30 12:41:51 - mmengine - INFO - Epoch(val) [73][280/310] eta: 0:00:08 time: 0.092 data_time: 0.005 memory: 1479 2022/06/30 12:41:54 - mmengine - INFO - Epoch(val) [73][300/310] eta: 0:00:02 time: 0.113 data_time: 0.008 memory: 1479 2022/06/30 12:41:58 - mmengine - INFO - Epoch(val) [73][310/310] acc/top1: 0.6685 acc/top5: 0.8699 acc/mean1: 0.6684 2022/06/30 12:42:06 - mmengine - INFO - Epoch(train) [74][20/3757] lr: 1.000e-03 eta: 7:43:53 time: 0.259 data_time: 0.020 memory: 6404 grad_norm: 7.8723 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9746 loss: 0.9746 2022/06/30 12:42:12 - mmengine - INFO - Epoch(train) [74][40/3757] lr: 1.000e-03 eta: 7:43:48 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.5685 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5111 loss: 1.5111 2022/06/30 12:42:18 - mmengine - INFO - Epoch(train) [74][60/3757] lr: 1.000e-03 eta: 7:43:42 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.0526 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2047 loss: 1.2047 2022/06/30 12:42:23 - mmengine - INFO - Epoch(train) [74][80/3757] lr: 1.000e-03 eta: 7:43:37 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 6.7367 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2434 loss: 1.2434 2022/06/30 12:42:29 - mmengine - INFO - Epoch(train) [74][100/3757] lr: 1.000e-03 eta: 7:43:32 time: 0.255 data_time: 0.018 memory: 6404 grad_norm: 8.8853 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0342 loss: 1.0342 2022/06/30 12:42:34 - mmengine - INFO - Epoch(train) [74][120/3757] lr: 1.000e-03 eta: 7:43:26 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.4909 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1996 loss: 1.1996 2022/06/30 12:42:40 - mmengine - INFO - Epoch(train) [74][140/3757] lr: 1.000e-03 eta: 7:43:21 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 9.1399 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0815 loss: 1.0815 2022/06/30 12:42:46 - mmengine - INFO - Epoch(train) [74][160/3757] lr: 1.000e-03 eta: 7:43:15 time: 0.255 data_time: 0.017 memory: 6404 grad_norm: 6.9741 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2824 loss: 1.2824 2022/06/30 12:42:51 - mmengine - INFO - Epoch(train) [74][180/3757] lr: 1.000e-03 eta: 7:43:10 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 8.0100 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9552 loss: 0.9552 2022/06/30 12:42:56 - mmengine - INFO - Epoch(train) [74][200/3757] lr: 1.000e-03 eta: 7:43:04 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 6.6369 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9626 loss: 0.9626 2022/06/30 12:43:02 - mmengine - INFO - Epoch(train) [74][220/3757] lr: 1.000e-03 eta: 7:42:59 time: 0.250 data_time: 0.027 memory: 6404 grad_norm: 8.3198 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1654 loss: 1.1654 2022/06/30 12:43:07 - mmengine - INFO - Epoch(train) [74][240/3757] lr: 1.000e-03 eta: 7:42:53 time: 0.253 data_time: 0.015 memory: 6404 grad_norm: 7.8143 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2803 loss: 1.2803 2022/06/30 12:43:13 - mmengine - INFO - Epoch(train) [74][260/3757] lr: 1.000e-03 eta: 7:42:48 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 8.4973 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0102 loss: 1.0102 2022/06/30 12:43:19 - mmengine - INFO - Epoch(train) [74][280/3757] lr: 1.000e-03 eta: 7:42:42 time: 0.258 data_time: 0.028 memory: 6404 grad_norm: 9.1919 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1097 loss: 1.1097 2022/06/30 12:43:24 - mmengine - INFO - Epoch(train) [74][300/3757] lr: 1.000e-03 eta: 7:42:37 time: 0.260 data_time: 0.019 memory: 6404 grad_norm: 8.7926 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2632 loss: 1.2632 2022/06/30 12:43:29 - mmengine - INFO - Epoch(train) [74][320/3757] lr: 1.000e-03 eta: 7:42:31 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 7.3793 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2544 loss: 1.2544 2022/06/30 12:43:35 - mmengine - INFO - Epoch(train) [74][340/3757] lr: 1.000e-03 eta: 7:42:26 time: 0.280 data_time: 0.044 memory: 6404 grad_norm: 8.0401 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1732 loss: 1.1732 2022/06/30 12:43:40 - mmengine - INFO - Epoch(train) [74][360/3757] lr: 1.000e-03 eta: 7:42:20 time: 0.257 data_time: 0.019 memory: 6404 grad_norm: 7.2977 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1595 loss: 1.1595 2022/06/30 12:43:46 - mmengine - INFO - Epoch(train) [74][380/3757] lr: 1.000e-03 eta: 7:42:15 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.7752 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4691 loss: 1.4691 2022/06/30 12:43:51 - mmengine - INFO - Epoch(train) [74][400/3757] lr: 1.000e-03 eta: 7:42:09 time: 0.275 data_time: 0.030 memory: 6404 grad_norm: 7.2643 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8101 loss: 0.8101 2022/06/30 12:43:57 - mmengine - INFO - Epoch(train) [74][420/3757] lr: 1.000e-03 eta: 7:42:04 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 8.8124 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9560 loss: 0.9560 2022/06/30 12:44:02 - mmengine - INFO - Epoch(train) [74][440/3757] lr: 1.000e-03 eta: 7:41:58 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.6034 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1795 loss: 1.1795 2022/06/30 12:44:07 - mmengine - INFO - Epoch(train) [74][460/3757] lr: 1.000e-03 eta: 7:41:53 time: 0.244 data_time: 0.032 memory: 6404 grad_norm: 9.2328 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2030 loss: 1.2030 2022/06/30 12:44:13 - mmengine - INFO - Epoch(train) [74][480/3757] lr: 1.000e-03 eta: 7:41:47 time: 0.256 data_time: 0.019 memory: 6404 grad_norm: 8.5193 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2854 loss: 1.2854 2022/06/30 12:44:18 - mmengine - INFO - Epoch(train) [74][500/3757] lr: 1.000e-03 eta: 7:41:41 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.8172 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4935 loss: 1.4935 2022/06/30 12:44:23 - mmengine - INFO - Epoch(train) [74][520/3757] lr: 1.000e-03 eta: 7:41:36 time: 0.261 data_time: 0.029 memory: 6404 grad_norm: 8.2057 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0725 loss: 1.0725 2022/06/30 12:44:29 - mmengine - INFO - Epoch(train) [74][540/3757] lr: 1.000e-03 eta: 7:41:30 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 8.6898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8799 loss: 0.8799 2022/06/30 12:44:34 - mmengine - INFO - Epoch(train) [74][560/3757] lr: 1.000e-03 eta: 7:41:25 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.4296 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9611 loss: 0.9611 2022/06/30 12:44:40 - mmengine - INFO - Epoch(train) [74][580/3757] lr: 1.000e-03 eta: 7:41:19 time: 0.277 data_time: 0.046 memory: 6404 grad_norm: 9.2160 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2826 loss: 1.2826 2022/06/30 12:44:46 - mmengine - INFO - Epoch(train) [74][600/3757] lr: 1.000e-03 eta: 7:41:14 time: 0.422 data_time: 0.006 memory: 6404 grad_norm: 8.3470 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2252 loss: 1.2252 2022/06/30 12:44:51 - mmengine - INFO - Epoch(train) [74][620/3757] lr: 1.000e-03 eta: 7:41:08 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 7.4912 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2543 loss: 1.2543 2022/06/30 12:44:57 - mmengine - INFO - Epoch(train) [74][640/3757] lr: 1.000e-03 eta: 7:41:03 time: 0.287 data_time: 0.025 memory: 6404 grad_norm: 7.4840 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0565 loss: 1.0565 2022/06/30 12:45:02 - mmengine - INFO - Epoch(train) [74][660/3757] lr: 1.000e-03 eta: 7:40:57 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 8.6335 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2414 loss: 1.2414 2022/06/30 12:45:07 - mmengine - INFO - Epoch(train) [74][680/3757] lr: 1.000e-03 eta: 7:40:52 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 7.4998 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9958 loss: 0.9958 2022/06/30 12:45:13 - mmengine - INFO - Epoch(train) [74][700/3757] lr: 1.000e-03 eta: 7:40:46 time: 0.249 data_time: 0.027 memory: 6404 grad_norm: 8.5411 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3735 loss: 1.3735 2022/06/30 12:45:18 - mmengine - INFO - Epoch(train) [74][720/3757] lr: 1.000e-03 eta: 7:40:41 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 9.6292 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5516 loss: 1.5516 2022/06/30 12:45:24 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 12:45:24 - mmengine - INFO - Epoch(train) [74][740/3757] lr: 1.000e-03 eta: 7:40:35 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 8.5475 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1482 loss: 1.1482 2022/06/30 12:45:29 - mmengine - INFO - Epoch(train) [74][760/3757] lr: 1.000e-03 eta: 7:40:30 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 7.4483 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2586 loss: 1.2586 2022/06/30 12:45:35 - mmengine - INFO - Epoch(train) [74][780/3757] lr: 1.000e-03 eta: 7:40:24 time: 0.262 data_time: 0.017 memory: 6404 grad_norm: 7.7649 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1006 loss: 1.1006 2022/06/30 12:45:40 - mmengine - INFO - Epoch(train) [74][800/3757] lr: 1.000e-03 eta: 7:40:19 time: 0.244 data_time: 0.012 memory: 6404 grad_norm: 8.8954 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0420 loss: 1.0420 2022/06/30 12:45:45 - mmengine - INFO - Epoch(train) [74][820/3757] lr: 1.000e-03 eta: 7:40:13 time: 0.241 data_time: 0.010 memory: 6404 grad_norm: 7.2752 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1998 loss: 1.1998 2022/06/30 12:45:50 - mmengine - INFO - Epoch(train) [74][840/3757] lr: 1.000e-03 eta: 7:40:08 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 8.4600 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2041 loss: 1.2041 2022/06/30 12:45:56 - mmengine - INFO - Epoch(train) [74][860/3757] lr: 1.000e-03 eta: 7:40:02 time: 0.281 data_time: 0.007 memory: 6404 grad_norm: 9.6646 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9258 loss: 0.9258 2022/06/30 12:46:01 - mmengine - INFO - Epoch(train) [74][880/3757] lr: 1.000e-03 eta: 7:39:57 time: 0.622 data_time: 0.007 memory: 6404 grad_norm: 7.6991 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0513 loss: 1.0513 2022/06/30 12:46:07 - mmengine - INFO - Epoch(train) [74][900/3757] lr: 1.000e-03 eta: 7:39:51 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 7.6017 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9822 loss: 0.9822 2022/06/30 12:46:12 - mmengine - INFO - Epoch(train) [74][920/3757] lr: 1.000e-03 eta: 7:39:46 time: 0.257 data_time: 0.018 memory: 6404 grad_norm: 7.7226 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4239 loss: 1.4239 2022/06/30 12:46:18 - mmengine - INFO - Epoch(train) [74][940/3757] lr: 1.000e-03 eta: 7:39:40 time: 0.450 data_time: 0.008 memory: 6404 grad_norm: 7.6090 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5760 loss: 1.5760 2022/06/30 12:46:23 - mmengine - INFO - Epoch(train) [74][960/3757] lr: 1.000e-03 eta: 7:39:35 time: 0.252 data_time: 0.015 memory: 6404 grad_norm: 8.7770 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3206 loss: 1.3206 2022/06/30 12:46:29 - mmengine - INFO - Epoch(train) [74][980/3757] lr: 1.000e-03 eta: 7:39:29 time: 0.253 data_time: 0.028 memory: 6404 grad_norm: 9.6324 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1097 loss: 1.1097 2022/06/30 12:46:34 - mmengine - INFO - Epoch(train) [74][1000/3757] lr: 1.000e-03 eta: 7:39:24 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 8.5818 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3224 loss: 1.3224 2022/06/30 12:46:40 - mmengine - INFO - Epoch(train) [74][1020/3757] lr: 1.000e-03 eta: 7:39:18 time: 0.249 data_time: 0.027 memory: 6404 grad_norm: 8.3417 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1213 loss: 1.1213 2022/06/30 12:46:45 - mmengine - INFO - Epoch(train) [74][1040/3757] lr: 1.000e-03 eta: 7:39:13 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 7.9939 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4193 loss: 1.4193 2022/06/30 12:46:50 - mmengine - INFO - Epoch(train) [74][1060/3757] lr: 1.000e-03 eta: 7:39:07 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 7.2424 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0079 loss: 1.0079 2022/06/30 12:46:56 - mmengine - INFO - Epoch(train) [74][1080/3757] lr: 1.000e-03 eta: 7:39:02 time: 0.261 data_time: 0.013 memory: 6404 grad_norm: 7.9259 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0515 loss: 1.0515 2022/06/30 12:47:01 - mmengine - INFO - Epoch(train) [74][1100/3757] lr: 1.000e-03 eta: 7:38:56 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.2917 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1990 loss: 1.1990 2022/06/30 12:47:07 - mmengine - INFO - Epoch(train) [74][1120/3757] lr: 1.000e-03 eta: 7:38:50 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 7.3600 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3941 loss: 1.3941 2022/06/30 12:47:12 - mmengine - INFO - Epoch(train) [74][1140/3757] lr: 1.000e-03 eta: 7:38:45 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 8.5268 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4729 loss: 1.4729 2022/06/30 12:47:18 - mmengine - INFO - Epoch(train) [74][1160/3757] lr: 1.000e-03 eta: 7:38:40 time: 0.262 data_time: 0.018 memory: 6404 grad_norm: 8.3206 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1376 loss: 1.1376 2022/06/30 12:47:24 - mmengine - INFO - Epoch(train) [74][1180/3757] lr: 1.000e-03 eta: 7:38:34 time: 0.541 data_time: 0.007 memory: 6404 grad_norm: 9.7291 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2344 loss: 1.2344 2022/06/30 12:47:29 - mmengine - INFO - Epoch(train) [74][1200/3757] lr: 1.000e-03 eta: 7:38:29 time: 0.256 data_time: 0.018 memory: 6404 grad_norm: 6.8284 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2956 loss: 1.2956 2022/06/30 12:47:35 - mmengine - INFO - Epoch(train) [74][1220/3757] lr: 1.000e-03 eta: 7:38:23 time: 0.255 data_time: 0.019 memory: 6404 grad_norm: 6.8777 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9220 loss: 0.9220 2022/06/30 12:47:40 - mmengine - INFO - Epoch(train) [74][1240/3757] lr: 1.000e-03 eta: 7:38:18 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 9.0611 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4080 loss: 1.4080 2022/06/30 12:47:45 - mmengine - INFO - Epoch(train) [74][1260/3757] lr: 1.000e-03 eta: 7:38:12 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 8.8108 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5277 loss: 1.5277 2022/06/30 12:47:51 - mmengine - INFO - Epoch(train) [74][1280/3757] lr: 1.000e-03 eta: 7:38:07 time: 0.283 data_time: 0.011 memory: 6404 grad_norm: 8.9185 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2211 loss: 1.2211 2022/06/30 12:47:56 - mmengine - INFO - Epoch(train) [74][1300/3757] lr: 1.000e-03 eta: 7:38:01 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 7.6799 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5992 loss: 1.5992 2022/06/30 12:48:02 - mmengine - INFO - Epoch(train) [74][1320/3757] lr: 1.000e-03 eta: 7:37:56 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 10.7069 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4554 loss: 1.4554 2022/06/30 12:48:07 - mmengine - INFO - Epoch(train) [74][1340/3757] lr: 1.000e-03 eta: 7:37:50 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 8.6893 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1180 loss: 1.1180 2022/06/30 12:48:13 - mmengine - INFO - Epoch(train) [74][1360/3757] lr: 1.000e-03 eta: 7:37:45 time: 0.255 data_time: 0.030 memory: 6404 grad_norm: 10.0804 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5026 loss: 1.5026 2022/06/30 12:48:18 - mmengine - INFO - Epoch(train) [74][1380/3757] lr: 1.000e-03 eta: 7:37:39 time: 0.303 data_time: 0.008 memory: 6404 grad_norm: 7.1885 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1296 loss: 1.1296 2022/06/30 12:48:25 - mmengine - INFO - Epoch(train) [74][1400/3757] lr: 1.000e-03 eta: 7:37:34 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 8.3005 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1274 loss: 1.1274 2022/06/30 12:48:30 - mmengine - INFO - Epoch(train) [74][1420/3757] lr: 1.000e-03 eta: 7:37:28 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 9.1328 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2368 loss: 1.2368 2022/06/30 12:48:35 - mmengine - INFO - Epoch(train) [74][1440/3757] lr: 1.000e-03 eta: 7:37:23 time: 0.286 data_time: 0.015 memory: 6404 grad_norm: 7.5599 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2010 loss: 1.2010 2022/06/30 12:48:40 - mmengine - INFO - Epoch(train) [74][1460/3757] lr: 1.000e-03 eta: 7:37:17 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 8.4823 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2142 loss: 1.2142 2022/06/30 12:48:46 - mmengine - INFO - Epoch(train) [74][1480/3757] lr: 1.000e-03 eta: 7:37:12 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 8.1909 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2203 loss: 1.2203 2022/06/30 12:48:51 - mmengine - INFO - Epoch(train) [74][1500/3757] lr: 1.000e-03 eta: 7:37:06 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 9.0396 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4041 loss: 1.4041 2022/06/30 12:48:56 - mmengine - INFO - Epoch(train) [74][1520/3757] lr: 1.000e-03 eta: 7:37:00 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 9.6435 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2363 loss: 1.2363 2022/06/30 12:49:01 - mmengine - INFO - Epoch(train) [74][1540/3757] lr: 1.000e-03 eta: 7:36:55 time: 0.264 data_time: 0.006 memory: 6404 grad_norm: 9.2109 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0887 loss: 1.0887 2022/06/30 12:49:07 - mmengine - INFO - Epoch(train) [74][1560/3757] lr: 1.000e-03 eta: 7:36:49 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.7814 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7951 loss: 0.7951 2022/06/30 12:49:13 - mmengine - INFO - Epoch(train) [74][1580/3757] lr: 1.000e-03 eta: 7:36:44 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 9.0726 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2022 loss: 1.2022 2022/06/30 12:49:19 - mmengine - INFO - Epoch(train) [74][1600/3757] lr: 1.000e-03 eta: 7:36:39 time: 0.266 data_time: 0.011 memory: 6404 grad_norm: 9.2525 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3134 loss: 1.3134 2022/06/30 12:49:24 - mmengine - INFO - Epoch(train) [74][1620/3757] lr: 1.000e-03 eta: 7:36:33 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 7.9393 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9909 loss: 0.9909 2022/06/30 12:49:30 - mmengine - INFO - Epoch(train) [74][1640/3757] lr: 1.000e-03 eta: 7:36:28 time: 0.251 data_time: 0.016 memory: 6404 grad_norm: 7.0782 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9770 loss: 0.9770 2022/06/30 12:49:35 - mmengine - INFO - Epoch(train) [74][1660/3757] lr: 1.000e-03 eta: 7:36:22 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 7.5208 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9384 loss: 0.9384 2022/06/30 12:49:41 - mmengine - INFO - Epoch(train) [74][1680/3757] lr: 1.000e-03 eta: 7:36:17 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 9.0438 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0956 loss: 1.0956 2022/06/30 12:49:46 - mmengine - INFO - Epoch(train) [74][1700/3757] lr: 1.000e-03 eta: 7:36:11 time: 0.263 data_time: 0.011 memory: 6404 grad_norm: 7.7401 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8978 loss: 0.8978 2022/06/30 12:49:51 - mmengine - INFO - Epoch(train) [74][1720/3757] lr: 1.000e-03 eta: 7:36:05 time: 0.263 data_time: 0.010 memory: 6404 grad_norm: 8.4242 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2815 loss: 1.2815 2022/06/30 12:49:56 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 12:49:56 - mmengine - INFO - Epoch(train) [74][1740/3757] lr: 1.000e-03 eta: 7:36:00 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 7.9122 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0897 loss: 1.0897 2022/06/30 12:50:02 - mmengine - INFO - Epoch(train) [74][1760/3757] lr: 1.000e-03 eta: 7:35:54 time: 0.261 data_time: 0.018 memory: 6404 grad_norm: 9.8054 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9981 loss: 0.9981 2022/06/30 12:50:08 - mmengine - INFO - Epoch(train) [74][1780/3757] lr: 1.000e-03 eta: 7:35:49 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 6.6947 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7095 loss: 1.7095 2022/06/30 12:50:13 - mmengine - INFO - Epoch(train) [74][1800/3757] lr: 1.000e-03 eta: 7:35:44 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 7.4709 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0532 loss: 1.0532 2022/06/30 12:50:19 - mmengine - INFO - Epoch(train) [74][1820/3757] lr: 1.000e-03 eta: 7:35:38 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 8.8452 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0921 loss: 1.0921 2022/06/30 12:50:24 - mmengine - INFO - Epoch(train) [74][1840/3757] lr: 1.000e-03 eta: 7:35:32 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 9.1938 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8362 loss: 0.8362 2022/06/30 12:50:29 - mmengine - INFO - Epoch(train) [74][1860/3757] lr: 1.000e-03 eta: 7:35:27 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 8.6713 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9771 loss: 0.9771 2022/06/30 12:50:35 - mmengine - INFO - Epoch(train) [74][1880/3757] lr: 1.000e-03 eta: 7:35:22 time: 0.248 data_time: 0.020 memory: 6404 grad_norm: 8.5271 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0867 loss: 1.0867 2022/06/30 12:50:41 - mmengine - INFO - Epoch(train) [74][1900/3757] lr: 1.000e-03 eta: 7:35:16 time: 0.282 data_time: 0.014 memory: 6404 grad_norm: 7.7092 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1282 loss: 1.1282 2022/06/30 12:50:46 - mmengine - INFO - Epoch(train) [74][1920/3757] lr: 1.000e-03 eta: 7:35:11 time: 0.305 data_time: 0.035 memory: 6404 grad_norm: 6.8847 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9820 loss: 0.9820 2022/06/30 12:50:51 - mmengine - INFO - Epoch(train) [74][1940/3757] lr: 1.000e-03 eta: 7:35:05 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 9.8391 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3397 loss: 1.3397 2022/06/30 12:50:56 - mmengine - INFO - Epoch(train) [74][1960/3757] lr: 1.000e-03 eta: 7:34:59 time: 0.254 data_time: 0.018 memory: 6404 grad_norm: 7.1084 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1602 loss: 1.1602 2022/06/30 12:51:02 - mmengine - INFO - Epoch(train) [74][1980/3757] lr: 1.000e-03 eta: 7:34:54 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 7.6651 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5828 loss: 1.5828 2022/06/30 12:51:07 - mmengine - INFO - Epoch(train) [74][2000/3757] lr: 1.000e-03 eta: 7:34:48 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 9.9812 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6359 loss: 1.6359 2022/06/30 12:51:13 - mmengine - INFO - Epoch(train) [74][2020/3757] lr: 1.000e-03 eta: 7:34:43 time: 0.314 data_time: 0.014 memory: 6404 grad_norm: 10.1540 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3138 loss: 1.3138 2022/06/30 12:51:18 - mmengine - INFO - Epoch(train) [74][2040/3757] lr: 1.000e-03 eta: 7:34:37 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 7.9590 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0670 loss: 1.0670 2022/06/30 12:51:23 - mmengine - INFO - Epoch(train) [74][2060/3757] lr: 1.000e-03 eta: 7:34:32 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 8.6799 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5566 loss: 1.5566 2022/06/30 12:51:29 - mmengine - INFO - Epoch(train) [74][2080/3757] lr: 1.000e-03 eta: 7:34:26 time: 0.251 data_time: 0.035 memory: 6404 grad_norm: 8.3923 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0197 loss: 1.0197 2022/06/30 12:51:34 - mmengine - INFO - Epoch(train) [74][2100/3757] lr: 1.000e-03 eta: 7:34:21 time: 0.263 data_time: 0.016 memory: 6404 grad_norm: 9.8877 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9839 loss: 0.9839 2022/06/30 12:51:40 - mmengine - INFO - Epoch(train) [74][2120/3757] lr: 1.000e-03 eta: 7:34:15 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.6080 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4495 loss: 1.4495 2022/06/30 12:51:45 - mmengine - INFO - Epoch(train) [74][2140/3757] lr: 1.000e-03 eta: 7:34:10 time: 0.326 data_time: 0.016 memory: 6404 grad_norm: 8.1552 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3353 loss: 1.3353 2022/06/30 12:51:51 - mmengine - INFO - Epoch(train) [74][2160/3757] lr: 1.000e-03 eta: 7:34:04 time: 0.256 data_time: 0.024 memory: 6404 grad_norm: 7.0506 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9698 loss: 0.9698 2022/06/30 12:51:56 - mmengine - INFO - Epoch(train) [74][2180/3757] lr: 1.000e-03 eta: 7:33:59 time: 0.276 data_time: 0.007 memory: 6404 grad_norm: 8.9192 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0248 loss: 1.0248 2022/06/30 12:52:02 - mmengine - INFO - Epoch(train) [74][2200/3757] lr: 1.000e-03 eta: 7:33:53 time: 0.505 data_time: 0.007 memory: 6404 grad_norm: 7.9623 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4696 loss: 1.4696 2022/06/30 12:52:07 - mmengine - INFO - Epoch(train) [74][2220/3757] lr: 1.000e-03 eta: 7:33:48 time: 0.252 data_time: 0.022 memory: 6404 grad_norm: 8.7821 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1586 loss: 1.1586 2022/06/30 12:52:13 - mmengine - INFO - Epoch(train) [74][2240/3757] lr: 1.000e-03 eta: 7:33:42 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.2471 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0647 loss: 1.0647 2022/06/30 12:52:18 - mmengine - INFO - Epoch(train) [74][2260/3757] lr: 1.000e-03 eta: 7:33:37 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 10.0550 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1953 loss: 1.1953 2022/06/30 12:52:23 - mmengine - INFO - Epoch(train) [74][2280/3757] lr: 1.000e-03 eta: 7:33:31 time: 0.240 data_time: 0.016 memory: 6404 grad_norm: 8.0581 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9533 loss: 0.9533 2022/06/30 12:52:29 - mmengine - INFO - Epoch(train) [74][2300/3757] lr: 1.000e-03 eta: 7:33:26 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 6.7634 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9476 loss: 0.9476 2022/06/30 12:52:34 - mmengine - INFO - Epoch(train) [74][2320/3757] lr: 1.000e-03 eta: 7:33:20 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 10.2256 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0691 loss: 1.0691 2022/06/30 12:52:40 - mmengine - INFO - Epoch(train) [74][2340/3757] lr: 1.000e-03 eta: 7:33:15 time: 0.263 data_time: 0.012 memory: 6404 grad_norm: 8.4036 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8299 loss: 0.8299 2022/06/30 12:52:45 - mmengine - INFO - Epoch(train) [74][2360/3757] lr: 1.000e-03 eta: 7:33:09 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 7.3682 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9819 loss: 0.9819 2022/06/30 12:52:51 - mmengine - INFO - Epoch(train) [74][2380/3757] lr: 1.000e-03 eta: 7:33:04 time: 0.274 data_time: 0.007 memory: 6404 grad_norm: 7.6067 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1238 loss: 1.1238 2022/06/30 12:52:56 - mmengine - INFO - Epoch(train) [74][2400/3757] lr: 1.000e-03 eta: 7:32:58 time: 0.288 data_time: 0.014 memory: 6404 grad_norm: 9.5357 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2209 loss: 1.2209 2022/06/30 12:53:01 - mmengine - INFO - Epoch(train) [74][2420/3757] lr: 1.000e-03 eta: 7:32:53 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.7551 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2348 loss: 1.2348 2022/06/30 12:53:07 - mmengine - INFO - Epoch(train) [74][2440/3757] lr: 1.000e-03 eta: 7:32:47 time: 0.282 data_time: 0.016 memory: 6404 grad_norm: 9.0703 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9297 loss: 0.9297 2022/06/30 12:53:13 - mmengine - INFO - Epoch(train) [74][2460/3757] lr: 1.000e-03 eta: 7:32:42 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 7.8798 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1463 loss: 1.1463 2022/06/30 12:53:19 - mmengine - INFO - Epoch(train) [74][2480/3757] lr: 1.000e-03 eta: 7:32:36 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 9.5848 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8512 loss: 0.8512 2022/06/30 12:53:24 - mmengine - INFO - Epoch(train) [74][2500/3757] lr: 1.000e-03 eta: 7:32:31 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 7.7622 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1647 loss: 1.1647 2022/06/30 12:53:30 - mmengine - INFO - Epoch(train) [74][2520/3757] lr: 1.000e-03 eta: 7:32:25 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 6.2179 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4131 loss: 1.4131 2022/06/30 12:53:35 - mmengine - INFO - Epoch(train) [74][2540/3757] lr: 1.000e-03 eta: 7:32:20 time: 0.261 data_time: 0.013 memory: 6404 grad_norm: 10.9506 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7335 loss: 0.7335 2022/06/30 12:53:41 - mmengine - INFO - Epoch(train) [74][2560/3757] lr: 1.000e-03 eta: 7:32:14 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 8.5751 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9314 loss: 0.9314 2022/06/30 12:53:46 - mmengine - INFO - Epoch(train) [74][2580/3757] lr: 1.000e-03 eta: 7:32:09 time: 0.297 data_time: 0.010 memory: 6404 grad_norm: 7.2152 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9399 loss: 0.9399 2022/06/30 12:53:51 - mmengine - INFO - Epoch(train) [74][2600/3757] lr: 1.000e-03 eta: 7:32:03 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 7.5769 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8838 loss: 0.8838 2022/06/30 12:53:57 - mmengine - INFO - Epoch(train) [74][2620/3757] lr: 1.000e-03 eta: 7:31:58 time: 0.280 data_time: 0.016 memory: 6404 grad_norm: 9.7449 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1543 loss: 1.1543 2022/06/30 12:54:02 - mmengine - INFO - Epoch(train) [74][2640/3757] lr: 1.000e-03 eta: 7:31:52 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.6259 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8888 loss: 0.8888 2022/06/30 12:54:08 - mmengine - INFO - Epoch(train) [74][2660/3757] lr: 1.000e-03 eta: 7:31:47 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 8.9701 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1502 loss: 1.1502 2022/06/30 12:54:14 - mmengine - INFO - Epoch(train) [74][2680/3757] lr: 1.000e-03 eta: 7:31:41 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 8.8329 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0721 loss: 1.0721 2022/06/30 12:54:19 - mmengine - INFO - Epoch(train) [74][2700/3757] lr: 1.000e-03 eta: 7:31:36 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 8.9416 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0690 loss: 1.0690 2022/06/30 12:54:24 - mmengine - INFO - Epoch(train) [74][2720/3757] lr: 1.000e-03 eta: 7:31:30 time: 0.246 data_time: 0.017 memory: 6404 grad_norm: 8.7299 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0810 loss: 1.0810 2022/06/30 12:54:29 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 12:54:29 - mmengine - INFO - Epoch(train) [74][2740/3757] lr: 1.000e-03 eta: 7:31:25 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 8.6440 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2893 loss: 1.2893 2022/06/30 12:54:35 - mmengine - INFO - Epoch(train) [74][2760/3757] lr: 1.000e-03 eta: 7:31:19 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 9.4407 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1009 loss: 1.1009 2022/06/30 12:54:41 - mmengine - INFO - Epoch(train) [74][2780/3757] lr: 1.000e-03 eta: 7:31:14 time: 0.254 data_time: 0.031 memory: 6404 grad_norm: 9.5548 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2108 loss: 1.2108 2022/06/30 12:54:47 - mmengine - INFO - Epoch(train) [74][2800/3757] lr: 1.000e-03 eta: 7:31:09 time: 0.987 data_time: 0.007 memory: 6404 grad_norm: 9.4758 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1231 loss: 1.1231 2022/06/30 12:54:52 - mmengine - INFO - Epoch(train) [74][2820/3757] lr: 1.000e-03 eta: 7:31:03 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.0202 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1309 loss: 1.1309 2022/06/30 12:54:57 - mmengine - INFO - Epoch(train) [74][2840/3757] lr: 1.000e-03 eta: 7:30:57 time: 0.261 data_time: 0.015 memory: 6404 grad_norm: 9.3230 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8352 loss: 0.8352 2022/06/30 12:55:03 - mmengine - INFO - Epoch(train) [74][2860/3757] lr: 1.000e-03 eta: 7:30:52 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 8.4256 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2473 loss: 1.2473 2022/06/30 12:55:08 - mmengine - INFO - Epoch(train) [74][2880/3757] lr: 1.000e-03 eta: 7:30:46 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 6.4736 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2626 loss: 1.2626 2022/06/30 12:55:13 - mmengine - INFO - Epoch(train) [74][2900/3757] lr: 1.000e-03 eta: 7:30:41 time: 0.273 data_time: 0.008 memory: 6404 grad_norm: 9.4971 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3189 loss: 1.3189 2022/06/30 12:55:18 - mmengine - INFO - Epoch(train) [74][2920/3757] lr: 1.000e-03 eta: 7:30:35 time: 0.251 data_time: 0.019 memory: 6404 grad_norm: 8.9797 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1133 loss: 1.1133 2022/06/30 12:55:24 - mmengine - INFO - Epoch(train) [74][2940/3757] lr: 1.000e-03 eta: 7:30:30 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 7.3314 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2573 loss: 1.2573 2022/06/30 12:55:30 - mmengine - INFO - Epoch(train) [74][2960/3757] lr: 1.000e-03 eta: 7:30:24 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.9457 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1463 loss: 1.1463 2022/06/30 12:55:35 - mmengine - INFO - Epoch(train) [74][2980/3757] lr: 1.000e-03 eta: 7:30:19 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 7.7163 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4118 loss: 1.4118 2022/06/30 12:55:41 - mmengine - INFO - Epoch(train) [74][3000/3757] lr: 1.000e-03 eta: 7:30:13 time: 0.258 data_time: 0.017 memory: 6404 grad_norm: 8.5379 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3415 loss: 1.3415 2022/06/30 12:55:46 - mmengine - INFO - Epoch(train) [74][3020/3757] lr: 1.000e-03 eta: 7:30:08 time: 0.325 data_time: 0.012 memory: 6404 grad_norm: 7.5573 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1045 loss: 1.1045 2022/06/30 12:55:52 - mmengine - INFO - Epoch(train) [74][3040/3757] lr: 1.000e-03 eta: 7:30:02 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.3713 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1361 loss: 1.1361 2022/06/30 12:55:58 - mmengine - INFO - Epoch(train) [74][3060/3757] lr: 1.000e-03 eta: 7:29:57 time: 0.267 data_time: 0.010 memory: 6404 grad_norm: 9.1088 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4253 loss: 1.4253 2022/06/30 12:56:03 - mmengine - INFO - Epoch(train) [74][3080/3757] lr: 1.000e-03 eta: 7:29:51 time: 0.270 data_time: 0.014 memory: 6404 grad_norm: 8.3572 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9182 loss: 0.9182 2022/06/30 12:56:08 - mmengine - INFO - Epoch(train) [74][3100/3757] lr: 1.000e-03 eta: 7:29:46 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 7.0734 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3470 loss: 1.3470 2022/06/30 12:56:13 - mmengine - INFO - Epoch(train) [74][3120/3757] lr: 1.000e-03 eta: 7:29:40 time: 0.288 data_time: 0.013 memory: 6404 grad_norm: 8.0098 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7804 loss: 0.7804 2022/06/30 12:56:19 - mmengine - INFO - Epoch(train) [74][3140/3757] lr: 1.000e-03 eta: 7:29:35 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.1430 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.2675 loss: 1.2675 2022/06/30 12:56:24 - mmengine - INFO - Epoch(train) [74][3160/3757] lr: 1.000e-03 eta: 7:29:29 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 7.9603 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1339 loss: 1.1339 2022/06/30 12:56:30 - mmengine - INFO - Epoch(train) [74][3180/3757] lr: 1.000e-03 eta: 7:29:24 time: 0.296 data_time: 0.008 memory: 6404 grad_norm: 8.9508 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9022 loss: 0.9022 2022/06/30 12:56:35 - mmengine - INFO - Epoch(train) [74][3200/3757] lr: 1.000e-03 eta: 7:29:18 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 7.2775 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9533 loss: 0.9533 2022/06/30 12:56:41 - mmengine - INFO - Epoch(train) [74][3220/3757] lr: 1.000e-03 eta: 7:29:13 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.9465 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3673 loss: 1.3673 2022/06/30 12:56:46 - mmengine - INFO - Epoch(train) [74][3240/3757] lr: 1.000e-03 eta: 7:29:07 time: 0.372 data_time: 0.010 memory: 6404 grad_norm: 8.5339 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0668 loss: 1.0668 2022/06/30 12:56:52 - mmengine - INFO - Epoch(train) [74][3260/3757] lr: 1.000e-03 eta: 7:29:02 time: 0.958 data_time: 0.007 memory: 6404 grad_norm: 7.4877 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0380 loss: 1.0380 2022/06/30 12:56:58 - mmengine - INFO - Epoch(train) [74][3280/3757] lr: 1.000e-03 eta: 7:28:56 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 8.2781 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2208 loss: 1.2208 2022/06/30 12:57:03 - mmengine - INFO - Epoch(train) [74][3300/3757] lr: 1.000e-03 eta: 7:28:51 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 7.9346 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9309 loss: 0.9309 2022/06/30 12:57:08 - mmengine - INFO - Epoch(train) [74][3320/3757] lr: 1.000e-03 eta: 7:28:45 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 9.2226 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1526 loss: 1.1526 2022/06/30 12:57:14 - mmengine - INFO - Epoch(train) [74][3340/3757] lr: 1.000e-03 eta: 7:28:40 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 8.9744 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1345 loss: 1.1345 2022/06/30 12:57:19 - mmengine - INFO - Epoch(train) [74][3360/3757] lr: 1.000e-03 eta: 7:28:34 time: 0.321 data_time: 0.010 memory: 6404 grad_norm: 8.8854 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0230 loss: 1.0230 2022/06/30 12:57:25 - mmengine - INFO - Epoch(train) [74][3380/3757] lr: 1.000e-03 eta: 7:28:29 time: 0.272 data_time: 0.008 memory: 6404 grad_norm: 7.8365 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1209 loss: 1.1209 2022/06/30 12:57:30 - mmengine - INFO - Epoch(train) [74][3400/3757] lr: 1.000e-03 eta: 7:28:23 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 9.2692 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1230 loss: 1.1230 2022/06/30 12:57:35 - mmengine - INFO - Epoch(train) [74][3420/3757] lr: 1.000e-03 eta: 7:28:18 time: 0.268 data_time: 0.014 memory: 6404 grad_norm: 9.1943 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1839 loss: 1.1839 2022/06/30 12:57:41 - mmengine - INFO - Epoch(train) [74][3440/3757] lr: 1.000e-03 eta: 7:28:12 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 8.9311 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1663 loss: 1.1663 2022/06/30 12:57:46 - mmengine - INFO - Epoch(train) [74][3460/3757] lr: 1.000e-03 eta: 7:28:07 time: 0.322 data_time: 0.010 memory: 6404 grad_norm: 8.6668 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3780 loss: 1.3780 2022/06/30 12:57:52 - mmengine - INFO - Epoch(train) [74][3480/3757] lr: 1.000e-03 eta: 7:28:01 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 7.9153 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0097 loss: 1.0097 2022/06/30 12:57:57 - mmengine - INFO - Epoch(train) [74][3500/3757] lr: 1.000e-03 eta: 7:27:56 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.9197 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2996 loss: 1.2996 2022/06/30 12:58:03 - mmengine - INFO - Epoch(train) [74][3520/3757] lr: 1.000e-03 eta: 7:27:50 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 7.9891 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9756 loss: 0.9756 2022/06/30 12:58:08 - mmengine - INFO - Epoch(train) [74][3540/3757] lr: 1.000e-03 eta: 7:27:45 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 8.7907 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0693 loss: 1.0693 2022/06/30 12:58:13 - mmengine - INFO - Epoch(train) [74][3560/3757] lr: 1.000e-03 eta: 7:27:39 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 6.6440 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9975 loss: 0.9975 2022/06/30 12:58:19 - mmengine - INFO - Epoch(train) [74][3580/3757] lr: 1.000e-03 eta: 7:27:34 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 9.1878 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2104 loss: 1.2104 2022/06/30 12:58:24 - mmengine - INFO - Epoch(train) [74][3600/3757] lr: 1.000e-03 eta: 7:27:28 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 8.2520 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1245 loss: 1.1245 2022/06/30 12:58:30 - mmengine - INFO - Epoch(train) [74][3620/3757] lr: 1.000e-03 eta: 7:27:22 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 8.1196 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9456 loss: 0.9456 2022/06/30 12:58:35 - mmengine - INFO - Epoch(train) [74][3640/3757] lr: 1.000e-03 eta: 7:27:17 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 8.6288 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0250 loss: 1.0250 2022/06/30 12:58:41 - mmengine - INFO - Epoch(train) [74][3660/3757] lr: 1.000e-03 eta: 7:27:11 time: 0.260 data_time: 0.013 memory: 6404 grad_norm: 9.6638 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1929 loss: 1.1929 2022/06/30 12:58:46 - mmengine - INFO - Epoch(train) [74][3680/3757] lr: 1.000e-03 eta: 7:27:06 time: 0.263 data_time: 0.010 memory: 6404 grad_norm: 9.3680 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2111 loss: 1.2111 2022/06/30 12:58:52 - mmengine - INFO - Epoch(train) [74][3700/3757] lr: 1.000e-03 eta: 7:27:00 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 9.3965 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0374 loss: 1.0374 2022/06/30 12:58:58 - mmengine - INFO - Epoch(train) [74][3720/3757] lr: 1.000e-03 eta: 7:26:55 time: 0.249 data_time: 0.016 memory: 6404 grad_norm: 8.3439 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0394 loss: 1.0394 2022/06/30 12:59:03 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 12:59:03 - mmengine - INFO - Epoch(train) [74][3740/3757] lr: 1.000e-03 eta: 7:26:50 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 9.3214 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3884 loss: 1.3884 2022/06/30 12:59:07 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 12:59:14 - mmengine - INFO - Epoch(val) [74][20/310] eta: 0:01:27 time: 0.091 data_time: 0.007 memory: 6404 2022/06/30 12:59:20 - mmengine - INFO - Epoch(val) [74][40/310] eta: 0:01:14 time: 0.095 data_time: 0.008 memory: 1479 2022/06/30 12:59:24 - mmengine - INFO - Epoch(val) [74][60/310] eta: 0:00:23 time: 0.101 data_time: 0.013 memory: 1479 2022/06/30 12:59:30 - mmengine - INFO - Epoch(val) [74][80/310] eta: 0:01:07 time: 0.106 data_time: 0.016 memory: 1479 2022/06/30 12:59:36 - mmengine - INFO - Epoch(val) [74][100/310] eta: 0:01:01 time: 0.094 data_time: 0.008 memory: 1479 2022/06/30 12:59:40 - mmengine - INFO - Epoch(val) [74][120/310] eta: 0:00:16 time: 0.092 data_time: 0.009 memory: 1479 2022/06/30 12:59:46 - mmengine - INFO - Epoch(val) [74][140/310] eta: 0:00:52 time: 0.347 data_time: 0.268 memory: 1479 2022/06/30 12:59:52 - mmengine - INFO - Epoch(val) [74][160/310] eta: 0:00:46 time: 0.525 data_time: 0.439 memory: 1479 2022/06/30 12:59:56 - mmengine - INFO - Epoch(val) [74][180/310] eta: 0:00:21 time: 0.093 data_time: 0.006 memory: 1479 2022/06/30 13:00:02 - mmengine - INFO - Epoch(val) [74][200/310] eta: 0:00:34 time: 0.311 data_time: 0.240 memory: 1479 2022/06/30 13:00:07 - mmengine - INFO - Epoch(val) [74][220/310] eta: 0:00:25 time: 0.234 data_time: 0.154 memory: 1479 2022/06/30 13:00:12 - mmengine - INFO - Epoch(val) [74][240/310] eta: 0:00:15 time: 0.084 data_time: 0.007 memory: 1479 2022/06/30 13:00:18 - mmengine - INFO - Epoch(val) [74][260/310] eta: 0:00:14 time: 0.484 data_time: 0.410 memory: 1479 2022/06/30 13:00:23 - mmengine - INFO - Epoch(val) [74][280/310] eta: 0:00:09 time: 0.143 data_time: 0.052 memory: 1479 2022/06/30 13:00:27 - mmengine - INFO - Epoch(val) [74][300/310] eta: 0:00:01 time: 0.081 data_time: 0.006 memory: 1479 2022/06/30 13:00:30 - mmengine - INFO - Epoch(val) [74][310/310] acc/top1: 0.6630 acc/top5: 0.8666 acc/mean1: 0.6629 2022/06/30 13:00:40 - mmengine - INFO - Epoch(train) [75][20/3757] lr: 1.000e-03 eta: 7:26:40 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 8.1861 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0618 loss: 1.0618 2022/06/30 13:00:45 - mmengine - INFO - Epoch(train) [75][40/3757] lr: 1.000e-03 eta: 7:26:34 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 7.6921 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8696 loss: 0.8696 2022/06/30 13:00:50 - mmengine - INFO - Epoch(train) [75][60/3757] lr: 1.000e-03 eta: 7:26:29 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 7.2160 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9501 loss: 0.9501 2022/06/30 13:00:57 - mmengine - INFO - Epoch(train) [75][80/3757] lr: 1.000e-03 eta: 7:26:24 time: 0.277 data_time: 0.008 memory: 6404 grad_norm: 8.1810 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1163 loss: 1.1163 2022/06/30 13:01:02 - mmengine - INFO - Epoch(train) [75][100/3757] lr: 1.000e-03 eta: 7:26:18 time: 0.249 data_time: 0.021 memory: 6404 grad_norm: 7.6543 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3066 loss: 1.3066 2022/06/30 13:01:08 - mmengine - INFO - Epoch(train) [75][120/3757] lr: 1.000e-03 eta: 7:26:13 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 8.3113 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0158 loss: 1.0158 2022/06/30 13:01:13 - mmengine - INFO - Epoch(train) [75][140/3757] lr: 1.000e-03 eta: 7:26:07 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 7.8169 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7806 loss: 0.7806 2022/06/30 13:01:19 - mmengine - INFO - Epoch(train) [75][160/3757] lr: 1.000e-03 eta: 7:26:02 time: 0.254 data_time: 0.021 memory: 6404 grad_norm: 8.3936 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8280 loss: 0.8280 2022/06/30 13:01:24 - mmengine - INFO - Epoch(train) [75][180/3757] lr: 1.000e-03 eta: 7:25:56 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 10.2625 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0139 loss: 1.0139 2022/06/30 13:01:29 - mmengine - INFO - Epoch(train) [75][200/3757] lr: 1.000e-03 eta: 7:25:50 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 9.6350 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1292 loss: 1.1292 2022/06/30 13:01:35 - mmengine - INFO - Epoch(train) [75][220/3757] lr: 1.000e-03 eta: 7:25:45 time: 0.257 data_time: 0.043 memory: 6404 grad_norm: 8.6256 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0252 loss: 1.0252 2022/06/30 13:01:40 - mmengine - INFO - Epoch(train) [75][240/3757] lr: 1.000e-03 eta: 7:25:39 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 7.5941 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0911 loss: 1.0911 2022/06/30 13:01:45 - mmengine - INFO - Epoch(train) [75][260/3757] lr: 1.000e-03 eta: 7:25:34 time: 0.238 data_time: 0.011 memory: 6404 grad_norm: 8.9152 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2427 loss: 1.2427 2022/06/30 13:01:51 - mmengine - INFO - Epoch(train) [75][280/3757] lr: 1.000e-03 eta: 7:25:28 time: 0.247 data_time: 0.040 memory: 6404 grad_norm: 7.9554 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0762 loss: 1.0762 2022/06/30 13:01:56 - mmengine - INFO - Epoch(train) [75][300/3757] lr: 1.000e-03 eta: 7:25:23 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 8.5547 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1685 loss: 1.1685 2022/06/30 13:02:02 - mmengine - INFO - Epoch(train) [75][320/3757] lr: 1.000e-03 eta: 7:25:17 time: 0.279 data_time: 0.009 memory: 6404 grad_norm: 7.6072 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2448 loss: 1.2448 2022/06/30 13:02:08 - mmengine - INFO - Epoch(train) [75][340/3757] lr: 1.000e-03 eta: 7:25:12 time: 0.259 data_time: 0.067 memory: 6404 grad_norm: 6.9532 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3945 loss: 1.3945 2022/06/30 13:02:13 - mmengine - INFO - Epoch(train) [75][360/3757] lr: 1.000e-03 eta: 7:25:07 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 7.9168 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0097 loss: 1.0097 2022/06/30 13:02:19 - mmengine - INFO - Epoch(train) [75][380/3757] lr: 1.000e-03 eta: 7:25:01 time: 0.272 data_time: 0.007 memory: 6404 grad_norm: 9.2898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0711 loss: 1.0711 2022/06/30 13:02:24 - mmengine - INFO - Epoch(train) [75][400/3757] lr: 1.000e-03 eta: 7:24:55 time: 0.615 data_time: 0.418 memory: 6404 grad_norm: 9.0654 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7572 loss: 0.7572 2022/06/30 13:02:29 - mmengine - INFO - Epoch(train) [75][420/3757] lr: 1.000e-03 eta: 7:24:50 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 9.2637 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1944 loss: 1.1944 2022/06/30 13:02:35 - mmengine - INFO - Epoch(train) [75][440/3757] lr: 1.000e-03 eta: 7:24:44 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 9.7895 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1779 loss: 1.1779 2022/06/30 13:02:41 - mmengine - INFO - Epoch(train) [75][460/3757] lr: 1.000e-03 eta: 7:24:39 time: 0.262 data_time: 0.040 memory: 6404 grad_norm: 8.3611 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0513 loss: 1.0513 2022/06/30 13:02:46 - mmengine - INFO - Epoch(train) [75][480/3757] lr: 1.000e-03 eta: 7:24:33 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 7.6652 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9119 loss: 0.9119 2022/06/30 13:02:51 - mmengine - INFO - Epoch(train) [75][500/3757] lr: 1.000e-03 eta: 7:24:28 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 8.7485 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2668 loss: 1.2668 2022/06/30 13:02:58 - mmengine - INFO - Epoch(train) [75][520/3757] lr: 1.000e-03 eta: 7:24:23 time: 0.316 data_time: 0.036 memory: 6404 grad_norm: 6.7620 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0669 loss: 1.0669 2022/06/30 13:03:03 - mmengine - INFO - Epoch(train) [75][540/3757] lr: 1.000e-03 eta: 7:24:17 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 7.2457 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7063 loss: 0.7063 2022/06/30 13:03:08 - mmengine - INFO - Epoch(train) [75][560/3757] lr: 1.000e-03 eta: 7:24:12 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 7.9079 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9964 loss: 0.9964 2022/06/30 13:03:13 - mmengine - INFO - Epoch(train) [75][580/3757] lr: 1.000e-03 eta: 7:24:06 time: 0.261 data_time: 0.025 memory: 6404 grad_norm: 11.0939 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2534 loss: 1.2534 2022/06/30 13:03:19 - mmengine - INFO - Epoch(train) [75][600/3757] lr: 1.000e-03 eta: 7:24:00 time: 0.254 data_time: 0.017 memory: 6404 grad_norm: 7.8467 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1991 loss: 1.1991 2022/06/30 13:03:24 - mmengine - INFO - Epoch(train) [75][620/3757] lr: 1.000e-03 eta: 7:23:55 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 9.7260 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3147 loss: 1.3147 2022/06/30 13:03:29 - mmengine - INFO - Epoch(train) [75][640/3757] lr: 1.000e-03 eta: 7:23:49 time: 0.243 data_time: 0.041 memory: 6404 grad_norm: 8.4669 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9543 loss: 0.9543 2022/06/30 13:03:35 - mmengine - INFO - Epoch(train) [75][660/3757] lr: 1.000e-03 eta: 7:23:44 time: 0.260 data_time: 0.066 memory: 6404 grad_norm: 9.0190 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0491 loss: 1.0491 2022/06/30 13:03:40 - mmengine - INFO - Epoch(train) [75][680/3757] lr: 1.000e-03 eta: 7:23:38 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 8.2997 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3532 loss: 1.3532 2022/06/30 13:03:46 - mmengine - INFO - Epoch(train) [75][700/3757] lr: 1.000e-03 eta: 7:23:33 time: 0.261 data_time: 0.026 memory: 6404 grad_norm: 8.6193 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1631 loss: 1.1631 2022/06/30 13:03:52 - mmengine - INFO - Epoch(train) [75][720/3757] lr: 1.000e-03 eta: 7:23:28 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 7.4300 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1949 loss: 1.1949 2022/06/30 13:03:58 - mmengine - INFO - Epoch(train) [75][740/3757] lr: 1.000e-03 eta: 7:23:22 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.8387 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2491 loss: 1.2491 2022/06/30 13:04:04 - mmengine - INFO - Epoch(train) [75][760/3757] lr: 1.000e-03 eta: 7:23:17 time: 0.284 data_time: 0.013 memory: 6404 grad_norm: 6.6952 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8507 loss: 0.8507 2022/06/30 13:04:09 - mmengine - INFO - Epoch(train) [75][780/3757] lr: 1.000e-03 eta: 7:23:11 time: 0.245 data_time: 0.020 memory: 6404 grad_norm: 7.7648 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8953 loss: 0.8953 2022/06/30 13:04:14 - mmengine - INFO - Epoch(train) [75][800/3757] lr: 1.000e-03 eta: 7:23:06 time: 0.264 data_time: 0.010 memory: 6404 grad_norm: 7.3985 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0049 loss: 1.0049 2022/06/30 13:04:19 - mmengine - INFO - Epoch(train) [75][820/3757] lr: 1.000e-03 eta: 7:23:00 time: 0.363 data_time: 0.007 memory: 6404 grad_norm: 9.1752 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4325 loss: 1.4325 2022/06/30 13:04:25 - mmengine - INFO - Epoch(train) [75][840/3757] lr: 1.000e-03 eta: 7:22:55 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 7.7585 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9673 loss: 0.9673 2022/06/30 13:04:31 - mmengine - INFO - Epoch(train) [75][860/3757] lr: 1.000e-03 eta: 7:22:49 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 7.4198 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0994 loss: 1.0994 2022/06/30 13:04:36 - mmengine - INFO - Epoch(train) [75][880/3757] lr: 1.000e-03 eta: 7:22:44 time: 0.383 data_time: 0.012 memory: 6404 grad_norm: 8.1376 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1750 loss: 1.1750 2022/06/30 13:04:42 - mmengine - INFO - Epoch(train) [75][900/3757] lr: 1.000e-03 eta: 7:22:38 time: 0.297 data_time: 0.007 memory: 6404 grad_norm: 8.5589 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0226 loss: 1.0226 2022/06/30 13:04:47 - mmengine - INFO - Epoch(train) [75][920/3757] lr: 1.000e-03 eta: 7:22:33 time: 0.259 data_time: 0.012 memory: 6404 grad_norm: 10.0680 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.1336 loss: 1.1336 2022/06/30 13:04:53 - mmengine - INFO - Epoch(train) [75][940/3757] lr: 1.000e-03 eta: 7:22:27 time: 0.286 data_time: 0.008 memory: 6404 grad_norm: 8.5898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0053 loss: 1.0053 2022/06/30 13:04:58 - mmengine - INFO - Epoch(train) [75][960/3757] lr: 1.000e-03 eta: 7:22:22 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 7.8883 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2212 loss: 1.2212 2022/06/30 13:05:03 - mmengine - INFO - Epoch(train) [75][980/3757] lr: 1.000e-03 eta: 7:22:16 time: 0.260 data_time: 0.013 memory: 6404 grad_norm: 7.7225 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8984 loss: 0.8984 2022/06/30 13:05:04 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 13:05:09 - mmengine - INFO - Epoch(train) [75][1000/3757] lr: 1.000e-03 eta: 7:22:11 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 9.0057 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9545 loss: 0.9545 2022/06/30 13:05:14 - mmengine - INFO - Epoch(train) [75][1020/3757] lr: 1.000e-03 eta: 7:22:05 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 7.3359 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0250 loss: 1.0250 2022/06/30 13:05:20 - mmengine - INFO - Epoch(train) [75][1040/3757] lr: 1.000e-03 eta: 7:22:00 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 8.7147 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3723 loss: 1.3723 2022/06/30 13:05:25 - mmengine - INFO - Epoch(train) [75][1060/3757] lr: 1.000e-03 eta: 7:21:54 time: 0.634 data_time: 0.013 memory: 6404 grad_norm: 8.2955 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9749 loss: 0.9749 2022/06/30 13:05:30 - mmengine - INFO - Epoch(train) [75][1080/3757] lr: 1.000e-03 eta: 7:21:49 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 8.8890 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4733 loss: 1.4733 2022/06/30 13:05:36 - mmengine - INFO - Epoch(train) [75][1100/3757] lr: 1.000e-03 eta: 7:21:43 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 7.9531 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0250 loss: 1.0250 2022/06/30 13:05:41 - mmengine - INFO - Epoch(train) [75][1120/3757] lr: 1.000e-03 eta: 7:21:37 time: 0.525 data_time: 0.011 memory: 6404 grad_norm: 8.6685 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3193 loss: 1.3193 2022/06/30 13:05:47 - mmengine - INFO - Epoch(train) [75][1140/3757] lr: 1.000e-03 eta: 7:21:32 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 7.7905 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2663 loss: 1.2663 2022/06/30 13:05:52 - mmengine - INFO - Epoch(train) [75][1160/3757] lr: 1.000e-03 eta: 7:21:27 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 7.7451 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0135 loss: 1.0135 2022/06/30 13:05:58 - mmengine - INFO - Epoch(train) [75][1180/3757] lr: 1.000e-03 eta: 7:21:21 time: 0.295 data_time: 0.011 memory: 6404 grad_norm: 6.6688 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6884 loss: 0.6884 2022/06/30 13:06:03 - mmengine - INFO - Epoch(train) [75][1200/3757] lr: 1.000e-03 eta: 7:21:15 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 9.2430 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0052 loss: 1.0052 2022/06/30 13:06:09 - mmengine - INFO - Epoch(train) [75][1220/3757] lr: 1.000e-03 eta: 7:21:10 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 9.1595 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5253 loss: 1.5253 2022/06/30 13:06:14 - mmengine - INFO - Epoch(train) [75][1240/3757] lr: 1.000e-03 eta: 7:21:05 time: 0.550 data_time: 0.018 memory: 6404 grad_norm: 9.1269 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4468 loss: 1.4468 2022/06/30 13:06:19 - mmengine - INFO - Epoch(train) [75][1260/3757] lr: 1.000e-03 eta: 7:20:59 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 8.6338 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9845 loss: 0.9845 2022/06/30 13:06:25 - mmengine - INFO - Epoch(train) [75][1280/3757] lr: 1.000e-03 eta: 7:20:54 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 8.7278 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0184 loss: 1.0184 2022/06/30 13:06:31 - mmengine - INFO - Epoch(train) [75][1300/3757] lr: 1.000e-03 eta: 7:20:48 time: 0.272 data_time: 0.009 memory: 6404 grad_norm: 8.9406 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4565 loss: 1.4565 2022/06/30 13:06:36 - mmengine - INFO - Epoch(train) [75][1320/3757] lr: 1.000e-03 eta: 7:20:43 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 9.7396 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8196 loss: 0.8196 2022/06/30 13:06:41 - mmengine - INFO - Epoch(train) [75][1340/3757] lr: 1.000e-03 eta: 7:20:37 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 8.8891 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1197 loss: 1.1197 2022/06/30 13:06:46 - mmengine - INFO - Epoch(train) [75][1360/3757] lr: 1.000e-03 eta: 7:20:31 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 7.3431 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0482 loss: 1.0482 2022/06/30 13:06:52 - mmengine - INFO - Epoch(train) [75][1380/3757] lr: 1.000e-03 eta: 7:20:26 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 8.2057 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2232 loss: 1.2232 2022/06/30 13:06:57 - mmengine - INFO - Epoch(train) [75][1400/3757] lr: 1.000e-03 eta: 7:20:20 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 8.7649 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2304 loss: 1.2304 2022/06/30 13:07:03 - mmengine - INFO - Epoch(train) [75][1420/3757] lr: 1.000e-03 eta: 7:20:15 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 9.9588 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2688 loss: 1.2688 2022/06/30 13:07:08 - mmengine - INFO - Epoch(train) [75][1440/3757] lr: 1.000e-03 eta: 7:20:09 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.7617 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9410 loss: 0.9410 2022/06/30 13:07:14 - mmengine - INFO - Epoch(train) [75][1460/3757] lr: 1.000e-03 eta: 7:20:04 time: 0.843 data_time: 0.012 memory: 6404 grad_norm: 7.5566 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1887 loss: 1.1887 2022/06/30 13:07:19 - mmengine - INFO - Epoch(train) [75][1480/3757] lr: 1.000e-03 eta: 7:19:58 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 8.2546 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1858 loss: 1.1858 2022/06/30 13:07:25 - mmengine - INFO - Epoch(train) [75][1500/3757] lr: 1.000e-03 eta: 7:19:53 time: 0.260 data_time: 0.009 memory: 6404 grad_norm: 8.6938 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2115 loss: 1.2115 2022/06/30 13:07:30 - mmengine - INFO - Epoch(train) [75][1520/3757] lr: 1.000e-03 eta: 7:19:47 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 7.7001 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9875 loss: 0.9875 2022/06/30 13:07:35 - mmengine - INFO - Epoch(train) [75][1540/3757] lr: 1.000e-03 eta: 7:19:42 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 9.9816 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1817 loss: 1.1817 2022/06/30 13:07:41 - mmengine - INFO - Epoch(train) [75][1560/3757] lr: 1.000e-03 eta: 7:19:36 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 8.9310 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2672 loss: 1.2672 2022/06/30 13:07:46 - mmengine - INFO - Epoch(train) [75][1580/3757] lr: 1.000e-03 eta: 7:19:31 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 10.3082 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1125 loss: 1.1125 2022/06/30 13:07:52 - mmengine - INFO - Epoch(train) [75][1600/3757] lr: 1.000e-03 eta: 7:19:25 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 6.7961 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9552 loss: 0.9552 2022/06/30 13:07:57 - mmengine - INFO - Epoch(train) [75][1620/3757] lr: 1.000e-03 eta: 7:19:20 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 7.9250 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0832 loss: 1.0832 2022/06/30 13:08:03 - mmengine - INFO - Epoch(train) [75][1640/3757] lr: 1.000e-03 eta: 7:19:14 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 9.7307 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1852 loss: 1.1852 2022/06/30 13:08:08 - mmengine - INFO - Epoch(train) [75][1660/3757] lr: 1.000e-03 eta: 7:19:09 time: 0.293 data_time: 0.009 memory: 6404 grad_norm: 6.8258 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2163 loss: 1.2163 2022/06/30 13:08:14 - mmengine - INFO - Epoch(train) [75][1680/3757] lr: 1.000e-03 eta: 7:19:03 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 8.3938 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9143 loss: 0.9143 2022/06/30 13:08:19 - mmengine - INFO - Epoch(train) [75][1700/3757] lr: 1.000e-03 eta: 7:18:58 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 7.7077 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0020 loss: 1.0020 2022/06/30 13:08:25 - mmengine - INFO - Epoch(train) [75][1720/3757] lr: 1.000e-03 eta: 7:18:52 time: 0.277 data_time: 0.010 memory: 6404 grad_norm: 8.4406 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1624 loss: 1.1624 2022/06/30 13:08:30 - mmengine - INFO - Epoch(train) [75][1740/3757] lr: 1.000e-03 eta: 7:18:47 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 9.8561 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7271 loss: 1.7271 2022/06/30 13:08:36 - mmengine - INFO - Epoch(train) [75][1760/3757] lr: 1.000e-03 eta: 7:18:41 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 8.6986 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4512 loss: 1.4512 2022/06/30 13:08:41 - mmengine - INFO - Epoch(train) [75][1780/3757] lr: 1.000e-03 eta: 7:18:36 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 11.0771 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1515 loss: 1.1515 2022/06/30 13:08:47 - mmengine - INFO - Epoch(train) [75][1800/3757] lr: 1.000e-03 eta: 7:18:30 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 8.5058 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1562 loss: 1.1562 2022/06/30 13:08:52 - mmengine - INFO - Epoch(train) [75][1820/3757] lr: 1.000e-03 eta: 7:18:25 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 8.8018 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0863 loss: 1.0863 2022/06/30 13:08:57 - mmengine - INFO - Epoch(train) [75][1840/3757] lr: 1.000e-03 eta: 7:18:19 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.6491 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1597 loss: 1.1597 2022/06/30 13:09:03 - mmengine - INFO - Epoch(train) [75][1860/3757] lr: 1.000e-03 eta: 7:18:14 time: 0.261 data_time: 0.009 memory: 6404 grad_norm: 10.0844 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9254 loss: 0.9254 2022/06/30 13:09:09 - mmengine - INFO - Epoch(train) [75][1880/3757] lr: 1.000e-03 eta: 7:18:08 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 7.9728 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3511 loss: 1.3511 2022/06/30 13:09:14 - mmengine - INFO - Epoch(train) [75][1900/3757] lr: 1.000e-03 eta: 7:18:03 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.5901 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2433 loss: 1.2433 2022/06/30 13:09:19 - mmengine - INFO - Epoch(train) [75][1920/3757] lr: 1.000e-03 eta: 7:17:57 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 10.3376 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4701 loss: 1.4701 2022/06/30 13:09:25 - mmengine - INFO - Epoch(train) [75][1940/3757] lr: 1.000e-03 eta: 7:17:52 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 9.2843 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3830 loss: 1.3830 2022/06/30 13:09:30 - mmengine - INFO - Epoch(train) [75][1960/3757] lr: 1.000e-03 eta: 7:17:46 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 7.3749 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8890 loss: 0.8890 2022/06/30 13:09:36 - mmengine - INFO - Epoch(train) [75][1980/3757] lr: 1.000e-03 eta: 7:17:41 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 8.8349 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3027 loss: 1.3027 2022/06/30 13:09:36 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 13:09:41 - mmengine - INFO - Epoch(train) [75][2000/3757] lr: 1.000e-03 eta: 7:17:35 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 10.1713 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0571 loss: 1.0571 2022/06/30 13:09:47 - mmengine - INFO - Epoch(train) [75][2020/3757] lr: 1.000e-03 eta: 7:17:30 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 7.5067 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5534 loss: 1.5534 2022/06/30 13:09:52 - mmengine - INFO - Epoch(train) [75][2040/3757] lr: 1.000e-03 eta: 7:17:24 time: 0.294 data_time: 0.007 memory: 6404 grad_norm: 10.7595 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9835 loss: 0.9835 2022/06/30 13:09:57 - mmengine - INFO - Epoch(train) [75][2060/3757] lr: 1.000e-03 eta: 7:17:19 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.9555 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2195 loss: 1.2195 2022/06/30 13:10:03 - mmengine - INFO - Epoch(train) [75][2080/3757] lr: 1.000e-03 eta: 7:17:13 time: 0.260 data_time: 0.006 memory: 6404 grad_norm: 8.6154 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1098 loss: 1.1098 2022/06/30 13:10:09 - mmengine - INFO - Epoch(train) [75][2100/3757] lr: 1.000e-03 eta: 7:17:08 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 7.0641 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0625 loss: 1.0625 2022/06/30 13:10:14 - mmengine - INFO - Epoch(train) [75][2120/3757] lr: 1.000e-03 eta: 7:17:02 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 9.5665 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1388 loss: 1.1388 2022/06/30 13:10:20 - mmengine - INFO - Epoch(train) [75][2140/3757] lr: 1.000e-03 eta: 7:16:57 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 8.1839 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.1270 loss: 1.1270 2022/06/30 13:10:25 - mmengine - INFO - Epoch(train) [75][2160/3757] lr: 1.000e-03 eta: 7:16:51 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 10.3172 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2488 loss: 1.2488 2022/06/30 13:10:30 - mmengine - INFO - Epoch(train) [75][2180/3757] lr: 1.000e-03 eta: 7:16:46 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 9.2085 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4534 loss: 1.4534 2022/06/30 13:10:36 - mmengine - INFO - Epoch(train) [75][2200/3757] lr: 1.000e-03 eta: 7:16:40 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.9902 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2915 loss: 1.2915 2022/06/30 13:10:41 - mmengine - INFO - Epoch(train) [75][2220/3757] lr: 1.000e-03 eta: 7:16:34 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 9.1275 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1974 loss: 1.1974 2022/06/30 13:10:46 - mmengine - INFO - Epoch(train) [75][2240/3757] lr: 1.000e-03 eta: 7:16:29 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 8.7320 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1562 loss: 1.1562 2022/06/30 13:10:52 - mmengine - INFO - Epoch(train) [75][2260/3757] lr: 1.000e-03 eta: 7:16:24 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.6388 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0268 loss: 1.0268 2022/06/30 13:10:57 - mmengine - INFO - Epoch(train) [75][2280/3757] lr: 1.000e-03 eta: 7:16:18 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 6.2082 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2529 loss: 1.2529 2022/06/30 13:11:02 - mmengine - INFO - Epoch(train) [75][2300/3757] lr: 1.000e-03 eta: 7:16:12 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 8.5369 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1968 loss: 1.1968 2022/06/30 13:11:08 - mmengine - INFO - Epoch(train) [75][2320/3757] lr: 1.000e-03 eta: 7:16:07 time: 0.357 data_time: 0.009 memory: 6404 grad_norm: 7.4186 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4880 loss: 1.4880 2022/06/30 13:11:13 - mmengine - INFO - Epoch(train) [75][2340/3757] lr: 1.000e-03 eta: 7:16:01 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 6.6161 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2163 loss: 1.2163 2022/06/30 13:11:18 - mmengine - INFO - Epoch(train) [75][2360/3757] lr: 1.000e-03 eta: 7:15:56 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.2589 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0602 loss: 1.0602 2022/06/30 13:11:24 - mmengine - INFO - Epoch(train) [75][2380/3757] lr: 1.000e-03 eta: 7:15:50 time: 0.242 data_time: 0.018 memory: 6404 grad_norm: 6.2086 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8828 loss: 0.8828 2022/06/30 13:11:30 - mmengine - INFO - Epoch(train) [75][2400/3757] lr: 1.000e-03 eta: 7:15:45 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 8.5891 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5403 loss: 1.5403 2022/06/30 13:11:35 - mmengine - INFO - Epoch(train) [75][2420/3757] lr: 1.000e-03 eta: 7:15:39 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 9.3216 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7339 loss: 0.7339 2022/06/30 13:11:40 - mmengine - INFO - Epoch(train) [75][2440/3757] lr: 1.000e-03 eta: 7:15:34 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.0571 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7046 loss: 1.7046 2022/06/30 13:11:46 - mmengine - INFO - Epoch(train) [75][2460/3757] lr: 1.000e-03 eta: 7:15:28 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 7.4552 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1497 loss: 1.1497 2022/06/30 13:11:52 - mmengine - INFO - Epoch(train) [75][2480/3757] lr: 1.000e-03 eta: 7:15:23 time: 0.261 data_time: 0.013 memory: 6404 grad_norm: 7.4504 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2142 loss: 1.2142 2022/06/30 13:11:57 - mmengine - INFO - Epoch(train) [75][2500/3757] lr: 1.000e-03 eta: 7:15:17 time: 0.285 data_time: 0.013 memory: 6404 grad_norm: 9.9751 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1287 loss: 1.1287 2022/06/30 13:12:02 - mmengine - INFO - Epoch(train) [75][2520/3757] lr: 1.000e-03 eta: 7:15:12 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 7.5947 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1943 loss: 1.1943 2022/06/30 13:12:08 - mmengine - INFO - Epoch(train) [75][2540/3757] lr: 1.000e-03 eta: 7:15:06 time: 0.418 data_time: 0.012 memory: 6404 grad_norm: 8.3732 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1341 loss: 1.1341 2022/06/30 13:12:14 - mmengine - INFO - Epoch(train) [75][2560/3757] lr: 1.000e-03 eta: 7:15:01 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 9.1242 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9984 loss: 0.9984 2022/06/30 13:12:19 - mmengine - INFO - Epoch(train) [75][2580/3757] lr: 1.000e-03 eta: 7:14:56 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 9.3664 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2298 loss: 1.2298 2022/06/30 13:12:25 - mmengine - INFO - Epoch(train) [75][2600/3757] lr: 1.000e-03 eta: 7:14:50 time: 0.267 data_time: 0.012 memory: 6404 grad_norm: 8.8698 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0728 loss: 1.0728 2022/06/30 13:12:30 - mmengine - INFO - Epoch(train) [75][2620/3757] lr: 1.000e-03 eta: 7:14:45 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 7.6348 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0641 loss: 1.0641 2022/06/30 13:12:35 - mmengine - INFO - Epoch(train) [75][2640/3757] lr: 1.000e-03 eta: 7:14:39 time: 0.241 data_time: 0.007 memory: 6404 grad_norm: 8.6966 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0041 loss: 1.0041 2022/06/30 13:12:41 - mmengine - INFO - Epoch(train) [75][2660/3757] lr: 1.000e-03 eta: 7:14:33 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.3108 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8534 loss: 0.8534 2022/06/30 13:12:46 - mmengine - INFO - Epoch(train) [75][2680/3757] lr: 1.000e-03 eta: 7:14:28 time: 0.252 data_time: 0.016 memory: 6404 grad_norm: 9.5231 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3258 loss: 1.3258 2022/06/30 13:12:52 - mmengine - INFO - Epoch(train) [75][2700/3757] lr: 1.000e-03 eta: 7:14:22 time: 0.254 data_time: 0.019 memory: 6404 grad_norm: 7.9421 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2147 loss: 1.2147 2022/06/30 13:12:57 - mmengine - INFO - Epoch(train) [75][2720/3757] lr: 1.000e-03 eta: 7:14:17 time: 0.276 data_time: 0.014 memory: 6404 grad_norm: 8.2316 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9349 loss: 0.9349 2022/06/30 13:13:02 - mmengine - INFO - Epoch(train) [75][2740/3757] lr: 1.000e-03 eta: 7:14:11 time: 0.261 data_time: 0.011 memory: 6404 grad_norm: 8.1504 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4159 loss: 1.4159 2022/06/30 13:13:08 - mmengine - INFO - Epoch(train) [75][2760/3757] lr: 1.000e-03 eta: 7:14:06 time: 0.258 data_time: 0.020 memory: 6404 grad_norm: 8.5352 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1524 loss: 1.1524 2022/06/30 13:13:13 - mmengine - INFO - Epoch(train) [75][2780/3757] lr: 1.000e-03 eta: 7:14:00 time: 0.249 data_time: 0.015 memory: 6404 grad_norm: 7.1189 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2291 loss: 1.2291 2022/06/30 13:13:19 - mmengine - INFO - Epoch(train) [75][2800/3757] lr: 1.000e-03 eta: 7:13:55 time: 0.266 data_time: 0.026 memory: 6404 grad_norm: 8.3718 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1748 loss: 1.1748 2022/06/30 13:13:24 - mmengine - INFO - Epoch(train) [75][2820/3757] lr: 1.000e-03 eta: 7:13:49 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 7.7495 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4396 loss: 1.4396 2022/06/30 13:13:30 - mmengine - INFO - Epoch(train) [75][2840/3757] lr: 1.000e-03 eta: 7:13:44 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 8.0637 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5416 loss: 1.5416 2022/06/30 13:13:35 - mmengine - INFO - Epoch(train) [75][2860/3757] lr: 1.000e-03 eta: 7:13:38 time: 0.356 data_time: 0.163 memory: 6404 grad_norm: 8.0966 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3622 loss: 1.3622 2022/06/30 13:13:40 - mmengine - INFO - Epoch(train) [75][2880/3757] lr: 1.000e-03 eta: 7:13:33 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 8.4610 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8896 loss: 0.8896 2022/06/30 13:13:46 - mmengine - INFO - Epoch(train) [75][2900/3757] lr: 1.000e-03 eta: 7:13:27 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.9373 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2198 loss: 1.2198 2022/06/30 13:13:52 - mmengine - INFO - Epoch(train) [75][2920/3757] lr: 1.000e-03 eta: 7:13:22 time: 0.271 data_time: 0.081 memory: 6404 grad_norm: 7.5300 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2733 loss: 1.2733 2022/06/30 13:13:58 - mmengine - INFO - Epoch(train) [75][2940/3757] lr: 1.000e-03 eta: 7:13:16 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 8.9647 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8332 loss: 0.8332 2022/06/30 13:14:03 - mmengine - INFO - Epoch(train) [75][2960/3757] lr: 1.000e-03 eta: 7:13:11 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 10.8312 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0613 loss: 1.0613 2022/06/30 13:14:09 - mmengine - INFO - Epoch(train) [75][2980/3757] lr: 1.000e-03 eta: 7:13:05 time: 0.687 data_time: 0.045 memory: 6404 grad_norm: 8.2655 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3597 loss: 1.3597 2022/06/30 13:14:09 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 13:14:14 - mmengine - INFO - Epoch(train) [75][3000/3757] lr: 1.000e-03 eta: 7:13:00 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.6201 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0950 loss: 1.0950 2022/06/30 13:14:19 - mmengine - INFO - Epoch(train) [75][3020/3757] lr: 1.000e-03 eta: 7:12:54 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 8.0873 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9097 loss: 0.9097 2022/06/30 13:14:24 - mmengine - INFO - Epoch(train) [75][3040/3757] lr: 1.000e-03 eta: 7:12:49 time: 0.269 data_time: 0.010 memory: 6404 grad_norm: 11.3167 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4114 loss: 1.4114 2022/06/30 13:14:29 - mmengine - INFO - Epoch(train) [75][3060/3757] lr: 1.000e-03 eta: 7:12:43 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 7.6106 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0253 loss: 1.0253 2022/06/30 13:14:35 - mmengine - INFO - Epoch(train) [75][3080/3757] lr: 1.000e-03 eta: 7:12:37 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 8.4488 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1840 loss: 1.1840 2022/06/30 13:14:40 - mmengine - INFO - Epoch(train) [75][3100/3757] lr: 1.000e-03 eta: 7:12:32 time: 0.263 data_time: 0.010 memory: 6404 grad_norm: 8.9973 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3282 loss: 1.3282 2022/06/30 13:14:46 - mmengine - INFO - Epoch(train) [75][3120/3757] lr: 1.000e-03 eta: 7:12:27 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 8.6143 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9469 loss: 0.9469 2022/06/30 13:14:51 - mmengine - INFO - Epoch(train) [75][3140/3757] lr: 1.000e-03 eta: 7:12:21 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 9.6992 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5349 loss: 1.5349 2022/06/30 13:14:57 - mmengine - INFO - Epoch(train) [75][3160/3757] lr: 1.000e-03 eta: 7:12:16 time: 0.263 data_time: 0.020 memory: 6404 grad_norm: 8.1154 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2267 loss: 1.2267 2022/06/30 13:15:02 - mmengine - INFO - Epoch(train) [75][3180/3757] lr: 1.000e-03 eta: 7:12:10 time: 0.248 data_time: 0.020 memory: 6404 grad_norm: 9.3044 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4651 loss: 1.4651 2022/06/30 13:15:08 - mmengine - INFO - Epoch(train) [75][3200/3757] lr: 1.000e-03 eta: 7:12:05 time: 0.378 data_time: 0.008 memory: 6404 grad_norm: 6.8480 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2706 loss: 1.2706 2022/06/30 13:15:13 - mmengine - INFO - Epoch(train) [75][3220/3757] lr: 1.000e-03 eta: 7:11:59 time: 0.242 data_time: 0.027 memory: 6404 grad_norm: 7.0586 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9679 loss: 0.9679 2022/06/30 13:15:19 - mmengine - INFO - Epoch(train) [75][3240/3757] lr: 1.000e-03 eta: 7:11:54 time: 0.254 data_time: 0.023 memory: 6404 grad_norm: 7.4799 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3469 loss: 1.3469 2022/06/30 13:15:25 - mmengine - INFO - Epoch(train) [75][3260/3757] lr: 1.000e-03 eta: 7:11:48 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 8.9043 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1033 loss: 1.1033 2022/06/30 13:15:30 - mmengine - INFO - Epoch(train) [75][3280/3757] lr: 1.000e-03 eta: 7:11:43 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 8.3182 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5550 loss: 1.5550 2022/06/30 13:15:35 - mmengine - INFO - Epoch(train) [75][3300/3757] lr: 1.000e-03 eta: 7:11:37 time: 0.259 data_time: 0.034 memory: 6404 grad_norm: 9.5534 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4573 loss: 1.4573 2022/06/30 13:15:41 - mmengine - INFO - Epoch(train) [75][3320/3757] lr: 1.000e-03 eta: 7:11:32 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 9.4609 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2154 loss: 1.2154 2022/06/30 13:15:46 - mmengine - INFO - Epoch(train) [75][3340/3757] lr: 1.000e-03 eta: 7:11:26 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 8.0841 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9684 loss: 0.9684 2022/06/30 13:15:52 - mmengine - INFO - Epoch(train) [75][3360/3757] lr: 1.000e-03 eta: 7:11:21 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 8.4981 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9439 loss: 0.9439 2022/06/30 13:15:57 - mmengine - INFO - Epoch(train) [75][3380/3757] lr: 1.000e-03 eta: 7:11:15 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 7.1002 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0228 loss: 1.0228 2022/06/30 13:16:03 - mmengine - INFO - Epoch(train) [75][3400/3757] lr: 1.000e-03 eta: 7:11:10 time: 0.278 data_time: 0.008 memory: 6404 grad_norm: 8.6644 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1471 loss: 1.1471 2022/06/30 13:16:08 - mmengine - INFO - Epoch(train) [75][3420/3757] lr: 1.000e-03 eta: 7:11:04 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.4360 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1452 loss: 1.1452 2022/06/30 13:16:13 - mmengine - INFO - Epoch(train) [75][3440/3757] lr: 1.000e-03 eta: 7:10:59 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 7.9672 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4270 loss: 1.4270 2022/06/30 13:16:19 - mmengine - INFO - Epoch(train) [75][3460/3757] lr: 1.000e-03 eta: 7:10:53 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 8.5711 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0643 loss: 1.0643 2022/06/30 13:16:24 - mmengine - INFO - Epoch(train) [75][3480/3757] lr: 1.000e-03 eta: 7:10:48 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 7.7063 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1689 loss: 1.1689 2022/06/30 13:16:31 - mmengine - INFO - Epoch(train) [75][3500/3757] lr: 1.000e-03 eta: 7:10:42 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 8.1567 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8366 loss: 0.8366 2022/06/30 13:16:36 - mmengine - INFO - Epoch(train) [75][3520/3757] lr: 1.000e-03 eta: 7:10:37 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 7.5598 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2659 loss: 1.2659 2022/06/30 13:16:41 - mmengine - INFO - Epoch(train) [75][3540/3757] lr: 1.000e-03 eta: 7:10:31 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 8.3399 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3206 loss: 1.3206 2022/06/30 13:16:46 - mmengine - INFO - Epoch(train) [75][3560/3757] lr: 1.000e-03 eta: 7:10:26 time: 0.253 data_time: 0.016 memory: 6404 grad_norm: 9.7119 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8027 loss: 0.8027 2022/06/30 13:16:52 - mmengine - INFO - Epoch(train) [75][3580/3757] lr: 1.000e-03 eta: 7:10:20 time: 0.261 data_time: 0.012 memory: 6404 grad_norm: 9.2253 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8536 loss: 0.8536 2022/06/30 13:16:58 - mmengine - INFO - Epoch(train) [75][3600/3757] lr: 1.000e-03 eta: 7:10:15 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 7.8730 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0012 loss: 1.0012 2022/06/30 13:17:03 - mmengine - INFO - Epoch(train) [75][3620/3757] lr: 1.000e-03 eta: 7:10:09 time: 0.291 data_time: 0.012 memory: 6404 grad_norm: 8.3814 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1758 loss: 1.1758 2022/06/30 13:17:09 - mmengine - INFO - Epoch(train) [75][3640/3757] lr: 1.000e-03 eta: 7:10:04 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 7.4065 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1438 loss: 1.1438 2022/06/30 13:17:14 - mmengine - INFO - Epoch(train) [75][3660/3757] lr: 1.000e-03 eta: 7:09:58 time: 0.310 data_time: 0.014 memory: 6404 grad_norm: 7.9882 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1074 loss: 1.1074 2022/06/30 13:17:19 - mmengine - INFO - Epoch(train) [75][3680/3757] lr: 1.000e-03 eta: 7:09:53 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 7.7539 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8925 loss: 0.8925 2022/06/30 13:17:25 - mmengine - INFO - Epoch(train) [75][3700/3757] lr: 1.000e-03 eta: 7:09:47 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 6.7316 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1958 loss: 1.1958 2022/06/30 13:17:30 - mmengine - INFO - Epoch(train) [75][3720/3757] lr: 1.000e-03 eta: 7:09:42 time: 0.263 data_time: 0.069 memory: 6404 grad_norm: 9.3688 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1818 loss: 1.1818 2022/06/30 13:17:36 - mmengine - INFO - Epoch(train) [75][3740/3757] lr: 1.000e-03 eta: 7:09:36 time: 0.244 data_time: 0.009 memory: 6404 grad_norm: 6.8225 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2416 loss: 1.2416 2022/06/30 13:17:40 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 13:17:40 - mmengine - INFO - Saving checkpoint at 75 epochs 2022/06/30 13:17:51 - mmengine - INFO - Epoch(val) [75][20/310] eta: 0:01:26 time: 0.081 data_time: 0.005 memory: 6404 2022/06/30 13:17:57 - mmengine - INFO - Epoch(val) [75][40/310] eta: 0:01:20 time: 0.097 data_time: 0.007 memory: 1479 2022/06/30 13:18:01 - mmengine - INFO - Epoch(val) [75][60/310] eta: 0:00:20 time: 0.078 data_time: 0.005 memory: 1479 2022/06/30 13:18:07 - mmengine - INFO - Epoch(val) [75][80/310] eta: 0:01:07 time: 0.090 data_time: 0.005 memory: 1479 2022/06/30 13:18:13 - mmengine - INFO - Epoch(val) [75][100/310] eta: 0:00:59 time: 0.089 data_time: 0.008 memory: 1479 2022/06/30 13:18:16 - mmengine - INFO - Epoch(val) [75][120/310] eta: 0:00:19 time: 0.107 data_time: 0.006 memory: 1479 2022/06/30 13:18:22 - mmengine - INFO - Epoch(val) [75][140/310] eta: 0:00:45 time: 0.085 data_time: 0.006 memory: 1479 2022/06/30 13:18:28 - mmengine - INFO - Epoch(val) [75][160/310] eta: 0:00:47 time: 0.103 data_time: 0.008 memory: 1479 2022/06/30 13:18:32 - mmengine - INFO - Epoch(val) [75][180/310] eta: 0:00:30 time: 0.080 data_time: 0.005 memory: 1479 2022/06/30 13:18:38 - mmengine - INFO - Epoch(val) [75][200/310] eta: 0:00:29 time: 0.139 data_time: 0.050 memory: 1479 2022/06/30 13:18:44 - mmengine - INFO - Epoch(val) [75][220/310] eta: 0:00:28 time: 0.095 data_time: 0.006 memory: 1479 2022/06/30 13:18:48 - mmengine - INFO - Epoch(val) [75][240/310] eta: 0:00:14 time: 0.090 data_time: 0.005 memory: 1479 2022/06/30 13:18:54 - mmengine - INFO - Epoch(val) [75][260/310] eta: 0:00:14 time: 0.080 data_time: 0.005 memory: 1479 2022/06/30 13:18:59 - mmengine - INFO - Epoch(val) [75][280/310] eta: 0:00:06 time: 0.082 data_time: 0.007 memory: 1479 2022/06/30 13:19:02 - mmengine - INFO - Epoch(val) [75][300/310] eta: 0:00:01 time: 0.079 data_time: 0.005 memory: 1479 2022/06/30 13:19:04 - mmengine - INFO - Epoch(val) [75][310/310] acc/top1: 0.6629 acc/top5: 0.8692 acc/mean1: 0.6628 2022/06/30 13:19:13 - mmengine - INFO - Epoch(train) [76][20/3757] lr: 1.000e-03 eta: 7:09:26 time: 0.263 data_time: 0.013 memory: 6404 grad_norm: 9.1744 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1956 loss: 1.1956 2022/06/30 13:19:20 - mmengine - INFO - Epoch(train) [76][40/3757] lr: 1.000e-03 eta: 7:09:21 time: 0.248 data_time: 0.016 memory: 6404 grad_norm: 7.8512 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9342 loss: 0.9342 2022/06/30 13:19:25 - mmengine - INFO - Epoch(train) [76][60/3757] lr: 1.000e-03 eta: 7:09:16 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 7.6766 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0510 loss: 1.0510 2022/06/30 13:19:30 - mmengine - INFO - Epoch(train) [76][80/3757] lr: 1.000e-03 eta: 7:09:10 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 8.1119 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2551 loss: 1.2551 2022/06/30 13:19:36 - mmengine - INFO - Epoch(train) [76][100/3757] lr: 1.000e-03 eta: 7:09:05 time: 0.267 data_time: 0.018 memory: 6404 grad_norm: 8.8358 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1266 loss: 1.1266 2022/06/30 13:19:41 - mmengine - INFO - Epoch(train) [76][120/3757] lr: 1.000e-03 eta: 7:08:59 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 8.9754 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0141 loss: 1.0141 2022/06/30 13:19:47 - mmengine - INFO - Epoch(train) [76][140/3757] lr: 1.000e-03 eta: 7:08:54 time: 0.255 data_time: 0.022 memory: 6404 grad_norm: 8.5463 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1971 loss: 1.1971 2022/06/30 13:19:52 - mmengine - INFO - Epoch(train) [76][160/3757] lr: 1.000e-03 eta: 7:08:48 time: 0.263 data_time: 0.009 memory: 6404 grad_norm: 7.9411 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0168 loss: 1.0168 2022/06/30 13:19:57 - mmengine - INFO - Epoch(train) [76][180/3757] lr: 1.000e-03 eta: 7:08:43 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.3244 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9594 loss: 0.9594 2022/06/30 13:20:04 - mmengine - INFO - Epoch(train) [76][200/3757] lr: 1.000e-03 eta: 7:08:37 time: 0.259 data_time: 0.019 memory: 6404 grad_norm: 7.2385 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9180 loss: 0.9180 2022/06/30 13:20:09 - mmengine - INFO - Epoch(train) [76][220/3757] lr: 1.000e-03 eta: 7:08:32 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 10.7936 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1472 loss: 1.1472 2022/06/30 13:20:11 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 13:20:15 - mmengine - INFO - Epoch(train) [76][240/3757] lr: 1.000e-03 eta: 7:08:26 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 7.4133 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1073 loss: 1.1073 2022/06/30 13:20:20 - mmengine - INFO - Epoch(train) [76][260/3757] lr: 1.000e-03 eta: 7:08:21 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 7.6717 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1942 loss: 1.1942 2022/06/30 13:20:25 - mmengine - INFO - Epoch(train) [76][280/3757] lr: 1.000e-03 eta: 7:08:15 time: 0.263 data_time: 0.011 memory: 6404 grad_norm: 6.1856 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0489 loss: 1.0489 2022/06/30 13:20:30 - mmengine - INFO - Epoch(train) [76][300/3757] lr: 1.000e-03 eta: 7:08:10 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 9.0314 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9038 loss: 0.9038 2022/06/30 13:20:36 - mmengine - INFO - Epoch(train) [76][320/3757] lr: 1.000e-03 eta: 7:08:04 time: 0.260 data_time: 0.016 memory: 6404 grad_norm: 8.6805 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1478 loss: 1.1478 2022/06/30 13:20:42 - mmengine - INFO - Epoch(train) [76][340/3757] lr: 1.000e-03 eta: 7:07:59 time: 0.254 data_time: 0.016 memory: 6404 grad_norm: 9.7412 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0846 loss: 1.0846 2022/06/30 13:20:47 - mmengine - INFO - Epoch(train) [76][360/3757] lr: 1.000e-03 eta: 7:07:53 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 9.2770 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8665 loss: 0.8665 2022/06/30 13:20:52 - mmengine - INFO - Epoch(train) [76][380/3757] lr: 1.000e-03 eta: 7:07:48 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 8.3763 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9373 loss: 0.9373 2022/06/30 13:20:58 - mmengine - INFO - Epoch(train) [76][400/3757] lr: 1.000e-03 eta: 7:07:42 time: 0.259 data_time: 0.019 memory: 6404 grad_norm: 9.1311 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1636 loss: 1.1636 2022/06/30 13:21:03 - mmengine - INFO - Epoch(train) [76][420/3757] lr: 1.000e-03 eta: 7:07:36 time: 0.282 data_time: 0.007 memory: 6404 grad_norm: 8.5225 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7948 loss: 0.7948 2022/06/30 13:21:08 - mmengine - INFO - Epoch(train) [76][440/3757] lr: 1.000e-03 eta: 7:07:31 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 7.4490 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9117 loss: 0.9117 2022/06/30 13:21:14 - mmengine - INFO - Epoch(train) [76][460/3757] lr: 1.000e-03 eta: 7:07:25 time: 0.568 data_time: 0.014 memory: 6404 grad_norm: 8.2453 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3332 loss: 1.3332 2022/06/30 13:21:20 - mmengine - INFO - Epoch(train) [76][480/3757] lr: 1.000e-03 eta: 7:07:20 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 9.2886 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9945 loss: 0.9945 2022/06/30 13:21:26 - mmengine - INFO - Epoch(train) [76][500/3757] lr: 1.000e-03 eta: 7:07:15 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 9.0658 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4875 loss: 1.4875 2022/06/30 13:21:31 - mmengine - INFO - Epoch(train) [76][520/3757] lr: 1.000e-03 eta: 7:07:09 time: 0.643 data_time: 0.018 memory: 6404 grad_norm: 8.0373 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3625 loss: 1.3625 2022/06/30 13:21:36 - mmengine - INFO - Epoch(train) [76][540/3757] lr: 1.000e-03 eta: 7:07:04 time: 0.253 data_time: 0.017 memory: 6404 grad_norm: 7.8538 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7274 loss: 0.7274 2022/06/30 13:21:42 - mmengine - INFO - Epoch(train) [76][560/3757] lr: 1.000e-03 eta: 7:06:58 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 10.0566 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2761 loss: 1.2761 2022/06/30 13:21:48 - mmengine - INFO - Epoch(train) [76][580/3757] lr: 1.000e-03 eta: 7:06:53 time: 0.869 data_time: 0.011 memory: 6404 grad_norm: 8.6166 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1139 loss: 1.1139 2022/06/30 13:21:53 - mmengine - INFO - Epoch(train) [76][600/3757] lr: 1.000e-03 eta: 7:06:47 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 9.4015 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4617 loss: 1.4617 2022/06/30 13:21:59 - mmengine - INFO - Epoch(train) [76][620/3757] lr: 1.000e-03 eta: 7:06:42 time: 0.352 data_time: 0.007 memory: 6404 grad_norm: 8.9847 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9410 loss: 0.9410 2022/06/30 13:22:04 - mmengine - INFO - Epoch(train) [76][640/3757] lr: 1.000e-03 eta: 7:06:36 time: 0.261 data_time: 0.012 memory: 6404 grad_norm: 8.9315 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2961 loss: 1.2961 2022/06/30 13:22:10 - mmengine - INFO - Epoch(train) [76][660/3757] lr: 1.000e-03 eta: 7:06:31 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 10.6327 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9824 loss: 0.9824 2022/06/30 13:22:15 - mmengine - INFO - Epoch(train) [76][680/3757] lr: 1.000e-03 eta: 7:06:25 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 9.5065 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2308 loss: 1.2308 2022/06/30 13:22:21 - mmengine - INFO - Epoch(train) [76][700/3757] lr: 1.000e-03 eta: 7:06:20 time: 0.296 data_time: 0.014 memory: 6404 grad_norm: 9.9000 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1633 loss: 1.1633 2022/06/30 13:22:26 - mmengine - INFO - Epoch(train) [76][720/3757] lr: 1.000e-03 eta: 7:06:14 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 7.5609 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1288 loss: 1.1288 2022/06/30 13:22:32 - mmengine - INFO - Epoch(train) [76][740/3757] lr: 1.000e-03 eta: 7:06:09 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.1341 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0833 loss: 1.0833 2022/06/30 13:22:37 - mmengine - INFO - Epoch(train) [76][760/3757] lr: 1.000e-03 eta: 7:06:03 time: 0.271 data_time: 0.056 memory: 6404 grad_norm: 7.8446 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3558 loss: 1.3558 2022/06/30 13:22:43 - mmengine - INFO - Epoch(train) [76][780/3757] lr: 1.000e-03 eta: 7:05:58 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 7.8548 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0156 loss: 1.0156 2022/06/30 13:22:48 - mmengine - INFO - Epoch(train) [76][800/3757] lr: 1.000e-03 eta: 7:05:52 time: 0.245 data_time: 0.013 memory: 6404 grad_norm: 7.1322 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3659 loss: 1.3659 2022/06/30 13:22:53 - mmengine - INFO - Epoch(train) [76][820/3757] lr: 1.000e-03 eta: 7:05:47 time: 0.283 data_time: 0.019 memory: 6404 grad_norm: 8.6444 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1862 loss: 1.1862 2022/06/30 13:22:59 - mmengine - INFO - Epoch(train) [76][840/3757] lr: 1.000e-03 eta: 7:05:41 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 9.8039 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1227 loss: 1.1227 2022/06/30 13:23:04 - mmengine - INFO - Epoch(train) [76][860/3757] lr: 1.000e-03 eta: 7:05:36 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 8.1271 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0136 loss: 1.0136 2022/06/30 13:23:10 - mmengine - INFO - Epoch(train) [76][880/3757] lr: 1.000e-03 eta: 7:05:30 time: 0.307 data_time: 0.024 memory: 6404 grad_norm: 9.0786 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2011 loss: 1.2011 2022/06/30 13:23:15 - mmengine - INFO - Epoch(train) [76][900/3757] lr: 1.000e-03 eta: 7:05:25 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.4550 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0389 loss: 1.0389 2022/06/30 13:23:21 - mmengine - INFO - Epoch(train) [76][920/3757] lr: 1.000e-03 eta: 7:05:19 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 9.0302 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1047 loss: 1.1047 2022/06/30 13:23:27 - mmengine - INFO - Epoch(train) [76][940/3757] lr: 1.000e-03 eta: 7:05:14 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 7.1627 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0735 loss: 1.0735 2022/06/30 13:23:32 - mmengine - INFO - Epoch(train) [76][960/3757] lr: 1.000e-03 eta: 7:05:09 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.4247 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3955 loss: 1.3955 2022/06/30 13:23:38 - mmengine - INFO - Epoch(train) [76][980/3757] lr: 1.000e-03 eta: 7:05:03 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 7.2984 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1183 loss: 1.1183 2022/06/30 13:23:43 - mmengine - INFO - Epoch(train) [76][1000/3757] lr: 1.000e-03 eta: 7:04:57 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 9.4039 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1168 loss: 1.1168 2022/06/30 13:23:48 - mmengine - INFO - Epoch(train) [76][1020/3757] lr: 1.000e-03 eta: 7:04:52 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 7.9902 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2367 loss: 1.2367 2022/06/30 13:23:53 - mmengine - INFO - Epoch(train) [76][1040/3757] lr: 1.000e-03 eta: 7:04:46 time: 0.246 data_time: 0.014 memory: 6404 grad_norm: 8.0780 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0736 loss: 1.0736 2022/06/30 13:23:59 - mmengine - INFO - Epoch(train) [76][1060/3757] lr: 1.000e-03 eta: 7:04:41 time: 0.266 data_time: 0.018 memory: 6404 grad_norm: 8.1187 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1235 loss: 1.1235 2022/06/30 13:24:04 - mmengine - INFO - Epoch(train) [76][1080/3757] lr: 1.000e-03 eta: 7:04:35 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 8.6339 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1114 loss: 1.1114 2022/06/30 13:24:09 - mmengine - INFO - Epoch(train) [76][1100/3757] lr: 1.000e-03 eta: 7:04:29 time: 0.374 data_time: 0.009 memory: 6404 grad_norm: 7.2558 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3245 loss: 1.3245 2022/06/30 13:24:14 - mmengine - INFO - Epoch(train) [76][1120/3757] lr: 1.000e-03 eta: 7:04:24 time: 0.259 data_time: 0.023 memory: 6404 grad_norm: 9.4814 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5080 loss: 1.5080 2022/06/30 13:24:20 - mmengine - INFO - Epoch(train) [76][1140/3757] lr: 1.000e-03 eta: 7:04:18 time: 0.300 data_time: 0.008 memory: 6404 grad_norm: 8.2188 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0300 loss: 1.0300 2022/06/30 13:24:25 - mmengine - INFO - Epoch(train) [76][1160/3757] lr: 1.000e-03 eta: 7:04:13 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.1838 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7871 loss: 0.7871 2022/06/30 13:24:31 - mmengine - INFO - Epoch(train) [76][1180/3757] lr: 1.000e-03 eta: 7:04:08 time: 0.256 data_time: 0.017 memory: 6404 grad_norm: 7.0862 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1708 loss: 1.1708 2022/06/30 13:24:36 - mmengine - INFO - Epoch(train) [76][1200/3757] lr: 1.000e-03 eta: 7:04:02 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 8.0149 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0359 loss: 1.0359 2022/06/30 13:24:41 - mmengine - INFO - Epoch(train) [76][1220/3757] lr: 1.000e-03 eta: 7:03:56 time: 0.262 data_time: 0.012 memory: 6404 grad_norm: 9.2289 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8565 loss: 0.8565 2022/06/30 13:24:43 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 13:24:47 - mmengine - INFO - Epoch(train) [76][1240/3757] lr: 1.000e-03 eta: 7:03:51 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 7.8332 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0993 loss: 1.0993 2022/06/30 13:24:53 - mmengine - INFO - Epoch(train) [76][1260/3757] lr: 1.000e-03 eta: 7:03:45 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 7.8640 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1439 loss: 1.1439 2022/06/30 13:24:58 - mmengine - INFO - Epoch(train) [76][1280/3757] lr: 1.000e-03 eta: 7:03:40 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 10.3287 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9822 loss: 0.9822 2022/06/30 13:25:04 - mmengine - INFO - Epoch(train) [76][1300/3757] lr: 1.000e-03 eta: 7:03:34 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 9.7108 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7708 loss: 0.7708 2022/06/30 13:25:09 - mmengine - INFO - Epoch(train) [76][1320/3757] lr: 1.000e-03 eta: 7:03:29 time: 0.356 data_time: 0.006 memory: 6404 grad_norm: 9.5474 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9389 loss: 0.9389 2022/06/30 13:25:15 - mmengine - INFO - Epoch(train) [76][1340/3757] lr: 1.000e-03 eta: 7:03:23 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 8.3470 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1406 loss: 1.1406 2022/06/30 13:25:20 - mmengine - INFO - Epoch(train) [76][1360/3757] lr: 1.000e-03 eta: 7:03:18 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.5977 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9618 loss: 0.9618 2022/06/30 13:25:25 - mmengine - INFO - Epoch(train) [76][1380/3757] lr: 1.000e-03 eta: 7:03:12 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.3547 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9792 loss: 0.9792 2022/06/30 13:25:31 - mmengine - INFO - Epoch(train) [76][1400/3757] lr: 1.000e-03 eta: 7:03:07 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 8.8633 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4275 loss: 1.4275 2022/06/30 13:25:37 - mmengine - INFO - Epoch(train) [76][1420/3757] lr: 1.000e-03 eta: 7:03:02 time: 0.278 data_time: 0.007 memory: 6404 grad_norm: 9.3862 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1588 loss: 1.1588 2022/06/30 13:25:43 - mmengine - INFO - Epoch(train) [76][1440/3757] lr: 1.000e-03 eta: 7:02:56 time: 0.289 data_time: 0.008 memory: 6404 grad_norm: 8.7823 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1811 loss: 1.1811 2022/06/30 13:25:48 - mmengine - INFO - Epoch(train) [76][1460/3757] lr: 1.000e-03 eta: 7:02:51 time: 0.267 data_time: 0.013 memory: 6404 grad_norm: 10.1477 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9571 loss: 0.9571 2022/06/30 13:25:53 - mmengine - INFO - Epoch(train) [76][1480/3757] lr: 1.000e-03 eta: 7:02:45 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 8.2428 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3522 loss: 1.3522 2022/06/30 13:25:58 - mmengine - INFO - Epoch(train) [76][1500/3757] lr: 1.000e-03 eta: 7:02:39 time: 0.273 data_time: 0.007 memory: 6404 grad_norm: 10.2850 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.3013 loss: 1.3013 2022/06/30 13:26:03 - mmengine - INFO - Epoch(train) [76][1520/3757] lr: 1.000e-03 eta: 7:02:34 time: 0.272 data_time: 0.007 memory: 6404 grad_norm: 8.0418 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9483 loss: 0.9483 2022/06/30 13:26:09 - mmengine - INFO - Epoch(train) [76][1540/3757] lr: 1.000e-03 eta: 7:02:28 time: 0.306 data_time: 0.012 memory: 6404 grad_norm: 7.3205 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0579 loss: 1.0579 2022/06/30 13:26:14 - mmengine - INFO - Epoch(train) [76][1560/3757] lr: 1.000e-03 eta: 7:02:23 time: 0.270 data_time: 0.008 memory: 6404 grad_norm: 7.0425 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0225 loss: 1.0225 2022/06/30 13:26:20 - mmengine - INFO - Epoch(train) [76][1580/3757] lr: 1.000e-03 eta: 7:02:17 time: 0.266 data_time: 0.008 memory: 6404 grad_norm: 7.6353 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9725 loss: 0.9725 2022/06/30 13:26:25 - mmengine - INFO - Epoch(train) [76][1600/3757] lr: 1.000e-03 eta: 7:02:12 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.4709 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9920 loss: 0.9920 2022/06/30 13:26:31 - mmengine - INFO - Epoch(train) [76][1620/3757] lr: 1.000e-03 eta: 7:02:07 time: 0.286 data_time: 0.007 memory: 6404 grad_norm: 7.1651 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1212 loss: 1.1212 2022/06/30 13:26:37 - mmengine - INFO - Epoch(train) [76][1640/3757] lr: 1.000e-03 eta: 7:02:01 time: 0.288 data_time: 0.008 memory: 6404 grad_norm: 8.3748 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2820 loss: 1.2820 2022/06/30 13:26:42 - mmengine - INFO - Epoch(train) [76][1660/3757] lr: 1.000e-03 eta: 7:01:56 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 9.2509 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4895 loss: 1.4895 2022/06/30 13:26:48 - mmengine - INFO - Epoch(train) [76][1680/3757] lr: 1.000e-03 eta: 7:01:50 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 9.0157 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3839 loss: 1.3839 2022/06/30 13:26:53 - mmengine - INFO - Epoch(train) [76][1700/3757] lr: 1.000e-03 eta: 7:01:45 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 9.6356 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3050 loss: 1.3050 2022/06/30 13:26:59 - mmengine - INFO - Epoch(train) [76][1720/3757] lr: 1.000e-03 eta: 7:01:39 time: 0.291 data_time: 0.007 memory: 6404 grad_norm: 7.4376 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1187 loss: 1.1187 2022/06/30 13:27:04 - mmengine - INFO - Epoch(train) [76][1740/3757] lr: 1.000e-03 eta: 7:01:34 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 7.7902 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9217 loss: 0.9217 2022/06/30 13:27:10 - mmengine - INFO - Epoch(train) [76][1760/3757] lr: 1.000e-03 eta: 7:01:28 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 9.2926 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1017 loss: 1.1017 2022/06/30 13:27:15 - mmengine - INFO - Epoch(train) [76][1780/3757] lr: 1.000e-03 eta: 7:01:23 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 9.2844 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9186 loss: 0.9186 2022/06/30 13:27:20 - mmengine - INFO - Epoch(train) [76][1800/3757] lr: 1.000e-03 eta: 7:01:17 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 8.1822 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1707 loss: 1.1707 2022/06/30 13:27:26 - mmengine - INFO - Epoch(train) [76][1820/3757] lr: 1.000e-03 eta: 7:01:11 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 7.7802 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9871 loss: 0.9871 2022/06/30 13:27:31 - mmengine - INFO - Epoch(train) [76][1840/3757] lr: 1.000e-03 eta: 7:01:06 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 9.9221 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3749 loss: 1.3749 2022/06/30 13:27:36 - mmengine - INFO - Epoch(train) [76][1860/3757] lr: 1.000e-03 eta: 7:01:00 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 8.8144 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1020 loss: 1.1020 2022/06/30 13:27:43 - mmengine - INFO - Epoch(train) [76][1880/3757] lr: 1.000e-03 eta: 7:00:55 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.2155 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0866 loss: 1.0866 2022/06/30 13:27:48 - mmengine - INFO - Epoch(train) [76][1900/3757] lr: 1.000e-03 eta: 7:00:49 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 7.4565 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3019 loss: 1.3019 2022/06/30 13:27:54 - mmengine - INFO - Epoch(train) [76][1920/3757] lr: 1.000e-03 eta: 7:00:44 time: 0.272 data_time: 0.017 memory: 6404 grad_norm: 8.6431 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0631 loss: 1.0631 2022/06/30 13:27:59 - mmengine - INFO - Epoch(train) [76][1940/3757] lr: 1.000e-03 eta: 7:00:38 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 8.3882 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1117 loss: 1.1117 2022/06/30 13:28:04 - mmengine - INFO - Epoch(train) [76][1960/3757] lr: 1.000e-03 eta: 7:00:33 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 7.0650 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1104 loss: 1.1104 2022/06/30 13:28:10 - mmengine - INFO - Epoch(train) [76][1980/3757] lr: 1.000e-03 eta: 7:00:28 time: 0.281 data_time: 0.039 memory: 6404 grad_norm: 10.5866 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2798 loss: 1.2798 2022/06/30 13:28:15 - mmengine - INFO - Epoch(train) [76][2000/3757] lr: 1.000e-03 eta: 7:00:22 time: 0.270 data_time: 0.078 memory: 6404 grad_norm: 8.8038 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1429 loss: 1.1429 2022/06/30 13:28:21 - mmengine - INFO - Epoch(train) [76][2020/3757] lr: 1.000e-03 eta: 7:00:16 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 7.4577 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0844 loss: 1.0844 2022/06/30 13:28:26 - mmengine - INFO - Epoch(train) [76][2040/3757] lr: 1.000e-03 eta: 7:00:11 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 7.7666 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8520 loss: 0.8520 2022/06/30 13:28:31 - mmengine - INFO - Epoch(train) [76][2060/3757] lr: 1.000e-03 eta: 7:00:05 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 7.9012 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7022 loss: 0.7022 2022/06/30 13:28:37 - mmengine - INFO - Epoch(train) [76][2080/3757] lr: 1.000e-03 eta: 7:00:00 time: 0.256 data_time: 0.060 memory: 6404 grad_norm: 7.0628 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1683 loss: 1.1683 2022/06/30 13:28:42 - mmengine - INFO - Epoch(train) [76][2100/3757] lr: 1.000e-03 eta: 6:59:54 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 9.2176 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0092 loss: 1.0092 2022/06/30 13:28:47 - mmengine - INFO - Epoch(train) [76][2120/3757] lr: 1.000e-03 eta: 6:59:49 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.5146 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4569 loss: 1.4569 2022/06/30 13:28:52 - mmengine - INFO - Epoch(train) [76][2140/3757] lr: 1.000e-03 eta: 6:59:43 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 7.9928 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9763 loss: 0.9763 2022/06/30 13:28:58 - mmengine - INFO - Epoch(train) [76][2160/3757] lr: 1.000e-03 eta: 6:59:38 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 7.2395 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2482 loss: 1.2482 2022/06/30 13:29:04 - mmengine - INFO - Epoch(train) [76][2180/3757] lr: 1.000e-03 eta: 6:59:32 time: 0.265 data_time: 0.011 memory: 6404 grad_norm: 10.0069 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0507 loss: 1.0507 2022/06/30 13:29:09 - mmengine - INFO - Epoch(train) [76][2200/3757] lr: 1.000e-03 eta: 6:59:27 time: 0.331 data_time: 0.008 memory: 6404 grad_norm: 9.0072 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1951 loss: 1.1951 2022/06/30 13:29:15 - mmengine - INFO - Epoch(train) [76][2220/3757] lr: 1.000e-03 eta: 6:59:21 time: 0.313 data_time: 0.008 memory: 6404 grad_norm: 10.3007 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8347 loss: 0.8347 2022/06/30 13:29:16 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 13:29:20 - mmengine - INFO - Epoch(train) [76][2240/3757] lr: 1.000e-03 eta: 6:59:16 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.9068 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9284 loss: 0.9284 2022/06/30 13:29:25 - mmengine - INFO - Epoch(train) [76][2260/3757] lr: 1.000e-03 eta: 6:59:10 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 9.5437 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2888 loss: 1.2888 2022/06/30 13:29:31 - mmengine - INFO - Epoch(train) [76][2280/3757] lr: 1.000e-03 eta: 6:59:05 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 8.3869 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1292 loss: 1.1292 2022/06/30 13:29:36 - mmengine - INFO - Epoch(train) [76][2300/3757] lr: 1.000e-03 eta: 6:58:59 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 9.9864 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3088 loss: 1.3088 2022/06/30 13:29:42 - mmengine - INFO - Epoch(train) [76][2320/3757] lr: 1.000e-03 eta: 6:58:54 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 7.9787 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.7141 loss: 0.7141 2022/06/30 13:29:47 - mmengine - INFO - Epoch(train) [76][2340/3757] lr: 1.000e-03 eta: 6:58:48 time: 0.322 data_time: 0.007 memory: 6404 grad_norm: 6.2550 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1232 loss: 1.1232 2022/06/30 13:29:53 - mmengine - INFO - Epoch(train) [76][2360/3757] lr: 1.000e-03 eta: 6:58:43 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 8.6796 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1769 loss: 1.1769 2022/06/30 13:29:58 - mmengine - INFO - Epoch(train) [76][2380/3757] lr: 1.000e-03 eta: 6:58:37 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 9.0467 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1003 loss: 1.1003 2022/06/30 13:30:03 - mmengine - INFO - Epoch(train) [76][2400/3757] lr: 1.000e-03 eta: 6:58:32 time: 0.240 data_time: 0.007 memory: 6404 grad_norm: 8.4341 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0647 loss: 1.0647 2022/06/30 13:30:09 - mmengine - INFO - Epoch(train) [76][2420/3757] lr: 1.000e-03 eta: 6:58:26 time: 0.256 data_time: 0.024 memory: 6404 grad_norm: 6.9742 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3464 loss: 1.3464 2022/06/30 13:30:15 - mmengine - INFO - Epoch(train) [76][2440/3757] lr: 1.000e-03 eta: 6:58:21 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.5734 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1395 loss: 1.1395 2022/06/30 13:30:21 - mmengine - INFO - Epoch(train) [76][2460/3757] lr: 1.000e-03 eta: 6:58:16 time: 0.292 data_time: 0.008 memory: 6404 grad_norm: 8.9213 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0168 loss: 1.0168 2022/06/30 13:30:26 - mmengine - INFO - Epoch(train) [76][2480/3757] lr: 1.000e-03 eta: 6:58:10 time: 0.250 data_time: 0.017 memory: 6404 grad_norm: 8.2858 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9348 loss: 0.9348 2022/06/30 13:30:32 - mmengine - INFO - Epoch(train) [76][2500/3757] lr: 1.000e-03 eta: 6:58:04 time: 0.297 data_time: 0.008 memory: 6404 grad_norm: 8.5003 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0906 loss: 1.0906 2022/06/30 13:30:37 - mmengine - INFO - Epoch(train) [76][2520/3757] lr: 1.000e-03 eta: 6:57:59 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.1541 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1583 loss: 1.1583 2022/06/30 13:30:43 - mmengine - INFO - Epoch(train) [76][2540/3757] lr: 1.000e-03 eta: 6:57:53 time: 0.251 data_time: 0.017 memory: 6404 grad_norm: 8.5214 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2234 loss: 1.2234 2022/06/30 13:30:48 - mmengine - INFO - Epoch(train) [76][2560/3757] lr: 1.000e-03 eta: 6:57:48 time: 0.274 data_time: 0.065 memory: 6404 grad_norm: 8.8028 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4856 loss: 1.4856 2022/06/30 13:30:53 - mmengine - INFO - Epoch(train) [76][2580/3757] lr: 1.000e-03 eta: 6:57:42 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 10.0535 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0656 loss: 1.0656 2022/06/30 13:30:58 - mmengine - INFO - Epoch(train) [76][2600/3757] lr: 1.000e-03 eta: 6:57:37 time: 0.255 data_time: 0.034 memory: 6404 grad_norm: 8.5892 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2469 loss: 1.2469 2022/06/30 13:31:04 - mmengine - INFO - Epoch(train) [76][2620/3757] lr: 1.000e-03 eta: 6:57:31 time: 0.344 data_time: 0.008 memory: 6404 grad_norm: 9.2744 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0847 loss: 1.0847 2022/06/30 13:31:09 - mmengine - INFO - Epoch(train) [76][2640/3757] lr: 1.000e-03 eta: 6:57:26 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 8.2418 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0036 loss: 1.0036 2022/06/30 13:31:15 - mmengine - INFO - Epoch(train) [76][2660/3757] lr: 1.000e-03 eta: 6:57:20 time: 0.281 data_time: 0.018 memory: 6404 grad_norm: 9.5144 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0741 loss: 1.0741 2022/06/30 13:31:20 - mmengine - INFO - Epoch(train) [76][2680/3757] lr: 1.000e-03 eta: 6:57:15 time: 0.461 data_time: 0.009 memory: 6404 grad_norm: 7.3175 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4943 loss: 1.4943 2022/06/30 13:31:26 - mmengine - INFO - Epoch(train) [76][2700/3757] lr: 1.000e-03 eta: 6:57:09 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.9212 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1599 loss: 1.1599 2022/06/30 13:31:31 - mmengine - INFO - Epoch(train) [76][2720/3757] lr: 1.000e-03 eta: 6:57:04 time: 0.284 data_time: 0.011 memory: 6404 grad_norm: 7.6550 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2095 loss: 1.2095 2022/06/30 13:31:36 - mmengine - INFO - Epoch(train) [76][2740/3757] lr: 1.000e-03 eta: 6:56:58 time: 0.276 data_time: 0.008 memory: 6404 grad_norm: 6.3249 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2931 loss: 1.2931 2022/06/30 13:31:41 - mmengine - INFO - Epoch(train) [76][2760/3757] lr: 1.000e-03 eta: 6:56:53 time: 0.247 data_time: 0.019 memory: 6404 grad_norm: 7.1928 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2831 loss: 1.2831 2022/06/30 13:31:47 - mmengine - INFO - Epoch(train) [76][2780/3757] lr: 1.000e-03 eta: 6:56:47 time: 0.479 data_time: 0.007 memory: 6404 grad_norm: 7.5128 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1170 loss: 1.1170 2022/06/30 13:31:53 - mmengine - INFO - Epoch(train) [76][2800/3757] lr: 1.000e-03 eta: 6:56:42 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.4249 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9489 loss: 0.9489 2022/06/30 13:31:58 - mmengine - INFO - Epoch(train) [76][2820/3757] lr: 1.000e-03 eta: 6:56:36 time: 0.266 data_time: 0.017 memory: 6404 grad_norm: 7.9255 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2868 loss: 1.2868 2022/06/30 13:32:04 - mmengine - INFO - Epoch(train) [76][2840/3757] lr: 1.000e-03 eta: 6:56:31 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 7.3961 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0561 loss: 1.0561 2022/06/30 13:32:09 - mmengine - INFO - Epoch(train) [76][2860/3757] lr: 1.000e-03 eta: 6:56:25 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 8.0665 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0847 loss: 1.0847 2022/06/30 13:32:15 - mmengine - INFO - Epoch(train) [76][2880/3757] lr: 1.000e-03 eta: 6:56:20 time: 0.271 data_time: 0.015 memory: 6404 grad_norm: 5.9704 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0033 loss: 1.0033 2022/06/30 13:32:20 - mmengine - INFO - Epoch(train) [76][2900/3757] lr: 1.000e-03 eta: 6:56:14 time: 0.426 data_time: 0.007 memory: 6404 grad_norm: 8.1871 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2130 loss: 1.2130 2022/06/30 13:32:25 - mmengine - INFO - Epoch(train) [76][2920/3757] lr: 1.000e-03 eta: 6:56:08 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.1594 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9973 loss: 0.9973 2022/06/30 13:32:31 - mmengine - INFO - Epoch(train) [76][2940/3757] lr: 1.000e-03 eta: 6:56:03 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 9.0663 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8507 loss: 0.8507 2022/06/30 13:32:37 - mmengine - INFO - Epoch(train) [76][2960/3757] lr: 1.000e-03 eta: 6:55:58 time: 0.278 data_time: 0.006 memory: 6404 grad_norm: 10.1889 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9709 loss: 0.9709 2022/06/30 13:32:42 - mmengine - INFO - Epoch(train) [76][2980/3757] lr: 1.000e-03 eta: 6:55:52 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 8.2537 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1488 loss: 1.1488 2022/06/30 13:32:47 - mmengine - INFO - Epoch(train) [76][3000/3757] lr: 1.000e-03 eta: 6:55:47 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 7.9579 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4968 loss: 1.4968 2022/06/30 13:32:53 - mmengine - INFO - Epoch(train) [76][3020/3757] lr: 1.000e-03 eta: 6:55:41 time: 0.240 data_time: 0.015 memory: 6404 grad_norm: 8.0774 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1976 loss: 1.1976 2022/06/30 13:32:58 - mmengine - INFO - Epoch(train) [76][3040/3757] lr: 1.000e-03 eta: 6:55:36 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 8.6367 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3573 loss: 1.3573 2022/06/30 13:33:04 - mmengine - INFO - Epoch(train) [76][3060/3757] lr: 1.000e-03 eta: 6:55:30 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.3364 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2757 loss: 1.2757 2022/06/30 13:33:09 - mmengine - INFO - Epoch(train) [76][3080/3757] lr: 1.000e-03 eta: 6:55:25 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 9.4262 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4116 loss: 1.4116 2022/06/30 13:33:14 - mmengine - INFO - Epoch(train) [76][3100/3757] lr: 1.000e-03 eta: 6:55:19 time: 0.263 data_time: 0.008 memory: 6404 grad_norm: 7.6840 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1849 loss: 1.1849 2022/06/30 13:33:20 - mmengine - INFO - Epoch(train) [76][3120/3757] lr: 1.000e-03 eta: 6:55:14 time: 0.793 data_time: 0.055 memory: 6404 grad_norm: 7.9049 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1431 loss: 1.1431 2022/06/30 13:33:26 - mmengine - INFO - Epoch(train) [76][3140/3757] lr: 1.000e-03 eta: 6:55:08 time: 0.245 data_time: 0.012 memory: 6404 grad_norm: 8.0022 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1268 loss: 1.1268 2022/06/30 13:33:32 - mmengine - INFO - Epoch(train) [76][3160/3757] lr: 1.000e-03 eta: 6:55:03 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 8.4016 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9506 loss: 0.9506 2022/06/30 13:33:37 - mmengine - INFO - Epoch(train) [76][3180/3757] lr: 1.000e-03 eta: 6:54:57 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 9.8386 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1580 loss: 1.1580 2022/06/30 13:33:42 - mmengine - INFO - Epoch(train) [76][3200/3757] lr: 1.000e-03 eta: 6:54:52 time: 0.307 data_time: 0.095 memory: 6404 grad_norm: 7.1057 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0169 loss: 1.0169 2022/06/30 13:33:48 - mmengine - INFO - Epoch(train) [76][3220/3757] lr: 1.000e-03 eta: 6:54:46 time: 0.276 data_time: 0.013 memory: 6404 grad_norm: 9.2687 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0938 loss: 1.0938 2022/06/30 13:33:49 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 13:33:53 - mmengine - INFO - Epoch(train) [76][3240/3757] lr: 1.000e-03 eta: 6:54:41 time: 0.273 data_time: 0.007 memory: 6404 grad_norm: 7.4940 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0986 loss: 1.0986 2022/06/30 13:33:58 - mmengine - INFO - Epoch(train) [76][3260/3757] lr: 1.000e-03 eta: 6:54:35 time: 0.255 data_time: 0.014 memory: 6404 grad_norm: 8.8571 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7672 loss: 0.7672 2022/06/30 13:34:03 - mmengine - INFO - Epoch(train) [76][3280/3757] lr: 1.000e-03 eta: 6:54:29 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 8.9945 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8386 loss: 0.8386 2022/06/30 13:34:08 - mmengine - INFO - Epoch(train) [76][3300/3757] lr: 1.000e-03 eta: 6:54:24 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 10.8419 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0480 loss: 1.0480 2022/06/30 13:34:14 - mmengine - INFO - Epoch(train) [76][3320/3757] lr: 1.000e-03 eta: 6:54:18 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 8.4217 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1620 loss: 1.1620 2022/06/30 13:34:21 - mmengine - INFO - Epoch(train) [76][3340/3757] lr: 1.000e-03 eta: 6:54:13 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 8.7077 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9509 loss: 0.9509 2022/06/30 13:34:27 - mmengine - INFO - Epoch(train) [76][3360/3757] lr: 1.000e-03 eta: 6:54:08 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 7.6564 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1541 loss: 1.1541 2022/06/30 13:34:32 - mmengine - INFO - Epoch(train) [76][3380/3757] lr: 1.000e-03 eta: 6:54:02 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 8.0207 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2363 loss: 1.2363 2022/06/30 13:34:37 - mmengine - INFO - Epoch(train) [76][3400/3757] lr: 1.000e-03 eta: 6:53:57 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 8.0397 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1086 loss: 1.1086 2022/06/30 13:34:43 - mmengine - INFO - Epoch(train) [76][3420/3757] lr: 1.000e-03 eta: 6:53:51 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 7.5871 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9393 loss: 0.9393 2022/06/30 13:34:48 - mmengine - INFO - Epoch(train) [76][3440/3757] lr: 1.000e-03 eta: 6:53:46 time: 0.258 data_time: 0.015 memory: 6404 grad_norm: 7.1986 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4271 loss: 1.4271 2022/06/30 13:34:54 - mmengine - INFO - Epoch(train) [76][3460/3757] lr: 1.000e-03 eta: 6:53:40 time: 0.290 data_time: 0.013 memory: 6404 grad_norm: 8.2106 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0961 loss: 1.0961 2022/06/30 13:34:59 - mmengine - INFO - Epoch(train) [76][3480/3757] lr: 1.000e-03 eta: 6:53:35 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 7.3062 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9784 loss: 0.9784 2022/06/30 13:35:04 - mmengine - INFO - Epoch(train) [76][3500/3757] lr: 1.000e-03 eta: 6:53:29 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 6.6138 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9683 loss: 0.9683 2022/06/30 13:35:09 - mmengine - INFO - Epoch(train) [76][3520/3757] lr: 1.000e-03 eta: 6:53:24 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 7.9666 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9947 loss: 0.9947 2022/06/30 13:35:15 - mmengine - INFO - Epoch(train) [76][3540/3757] lr: 1.000e-03 eta: 6:53:18 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 6.7093 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1189 loss: 1.1189 2022/06/30 13:35:21 - mmengine - INFO - Epoch(train) [76][3560/3757] lr: 1.000e-03 eta: 6:53:13 time: 0.293 data_time: 0.009 memory: 6404 grad_norm: 9.5619 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1749 loss: 1.1749 2022/06/30 13:35:26 - mmengine - INFO - Epoch(train) [76][3580/3757] lr: 1.000e-03 eta: 6:53:07 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 8.1537 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1923 loss: 1.1923 2022/06/30 13:35:31 - mmengine - INFO - Epoch(train) [76][3600/3757] lr: 1.000e-03 eta: 6:53:02 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 7.0871 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2320 loss: 1.2320 2022/06/30 13:35:36 - mmengine - INFO - Epoch(train) [76][3620/3757] lr: 1.000e-03 eta: 6:52:56 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 8.7218 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1752 loss: 1.1752 2022/06/30 13:35:42 - mmengine - INFO - Epoch(train) [76][3640/3757] lr: 1.000e-03 eta: 6:52:50 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 8.2226 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2752 loss: 1.2752 2022/06/30 13:35:47 - mmengine - INFO - Epoch(train) [76][3660/3757] lr: 1.000e-03 eta: 6:52:45 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 8.2330 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8159 loss: 0.8159 2022/06/30 13:35:52 - mmengine - INFO - Epoch(train) [76][3680/3757] lr: 1.000e-03 eta: 6:52:39 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 8.6999 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9634 loss: 0.9634 2022/06/30 13:35:58 - mmengine - INFO - Epoch(train) [76][3700/3757] lr: 1.000e-03 eta: 6:52:34 time: 0.263 data_time: 0.008 memory: 6404 grad_norm: 8.6018 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9388 loss: 0.9388 2022/06/30 13:36:05 - mmengine - INFO - Epoch(train) [76][3720/3757] lr: 1.000e-03 eta: 6:52:29 time: 0.300 data_time: 0.006 memory: 6404 grad_norm: 10.2904 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3628 loss: 1.3628 2022/06/30 13:36:10 - mmengine - INFO - Epoch(train) [76][3740/3757] lr: 1.000e-03 eta: 6:52:23 time: 0.250 data_time: 0.015 memory: 6404 grad_norm: 7.2560 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3446 loss: 1.3446 2022/06/30 13:36:14 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 13:36:21 - mmengine - INFO - Epoch(val) [76][20/310] eta: 0:01:31 time: 0.088 data_time: 0.006 memory: 6404 2022/06/30 13:36:27 - mmengine - INFO - Epoch(val) [76][40/310] eta: 0:01:16 time: 0.291 data_time: 0.212 memory: 1479 2022/06/30 13:36:31 - mmengine - INFO - Epoch(val) [76][60/310] eta: 0:00:24 time: 0.092 data_time: 0.010 memory: 1479 2022/06/30 13:36:37 - mmengine - INFO - Epoch(val) [76][80/310] eta: 0:01:12 time: 0.083 data_time: 0.007 memory: 1479 2022/06/30 13:36:43 - mmengine - INFO - Epoch(val) [76][100/310] eta: 0:00:56 time: 0.397 data_time: 0.321 memory: 1479 2022/06/30 13:36:47 - mmengine - INFO - Epoch(val) [76][120/310] eta: 0:00:23 time: 0.092 data_time: 0.009 memory: 1479 2022/06/30 13:36:53 - mmengine - INFO - Epoch(val) [76][140/310] eta: 0:00:51 time: 0.093 data_time: 0.012 memory: 1479 2022/06/30 13:36:59 - mmengine - INFO - Epoch(val) [76][160/310] eta: 0:00:47 time: 1.656 data_time: 1.571 memory: 1479 2022/06/30 13:37:03 - mmengine - INFO - Epoch(val) [76][180/310] eta: 0:00:35 time: 0.080 data_time: 0.006 memory: 1479 2022/06/30 13:37:09 - mmengine - INFO - Epoch(val) [76][200/310] eta: 0:00:33 time: 0.097 data_time: 0.018 memory: 1479 2022/06/30 13:37:15 - mmengine - INFO - Epoch(val) [76][220/310] eta: 0:00:25 time: 0.954 data_time: 0.872 memory: 1479 2022/06/30 13:37:19 - mmengine - INFO - Epoch(val) [76][240/310] eta: 0:00:18 time: 0.085 data_time: 0.007 memory: 1479 2022/06/30 13:37:24 - mmengine - INFO - Epoch(val) [76][260/310] eta: 0:00:15 time: 0.077 data_time: 0.005 memory: 1479 2022/06/30 13:37:31 - mmengine - INFO - Epoch(val) [76][280/310] eta: 0:00:09 time: 1.209 data_time: 1.110 memory: 1479 2022/06/30 13:37:34 - mmengine - INFO - Epoch(val) [76][300/310] eta: 0:00:02 time: 0.078 data_time: 0.007 memory: 1479 2022/06/30 13:37:37 - mmengine - INFO - Epoch(val) [76][310/310] acc/top1: 0.6669 acc/top5: 0.8652 acc/mean1: 0.6668 2022/06/30 13:37:47 - mmengine - INFO - Epoch(train) [77][20/3757] lr: 1.000e-03 eta: 6:52:14 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 8.6932 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0133 loss: 1.0133 2022/06/30 13:37:53 - mmengine - INFO - Epoch(train) [77][40/3757] lr: 1.000e-03 eta: 6:52:08 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 9.6937 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3363 loss: 1.3363 2022/06/30 13:37:58 - mmengine - INFO - Epoch(train) [77][60/3757] lr: 1.000e-03 eta: 6:52:03 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 8.0615 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4165 loss: 1.4165 2022/06/30 13:38:03 - mmengine - INFO - Epoch(train) [77][80/3757] lr: 1.000e-03 eta: 6:51:57 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.4112 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1502 loss: 1.1502 2022/06/30 13:38:09 - mmengine - INFO - Epoch(train) [77][100/3757] lr: 1.000e-03 eta: 6:51:52 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 7.9480 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0391 loss: 1.0391 2022/06/30 13:38:14 - mmengine - INFO - Epoch(train) [77][120/3757] lr: 1.000e-03 eta: 6:51:46 time: 0.243 data_time: 0.013 memory: 6404 grad_norm: 7.8732 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2513 loss: 1.2513 2022/06/30 13:38:20 - mmengine - INFO - Epoch(train) [77][140/3757] lr: 1.000e-03 eta: 6:51:41 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.0890 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0093 loss: 1.0093 2022/06/30 13:38:25 - mmengine - INFO - Epoch(train) [77][160/3757] lr: 1.000e-03 eta: 6:51:35 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 6.3803 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3298 loss: 1.3298 2022/06/30 13:38:30 - mmengine - INFO - Epoch(train) [77][180/3757] lr: 1.000e-03 eta: 6:51:30 time: 0.422 data_time: 0.006 memory: 6404 grad_norm: 8.9967 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0331 loss: 1.0331 2022/06/30 13:38:36 - mmengine - INFO - Epoch(train) [77][200/3757] lr: 1.000e-03 eta: 6:51:24 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 10.0948 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2038 loss: 1.2038 2022/06/30 13:38:41 - mmengine - INFO - Epoch(train) [77][220/3757] lr: 1.000e-03 eta: 6:51:19 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 9.2204 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2524 loss: 1.2524 2022/06/30 13:38:47 - mmengine - INFO - Epoch(train) [77][240/3757] lr: 1.000e-03 eta: 6:51:13 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 9.2089 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8318 loss: 0.8318 2022/06/30 13:38:52 - mmengine - INFO - Epoch(train) [77][260/3757] lr: 1.000e-03 eta: 6:51:08 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 10.3023 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3400 loss: 1.3400 2022/06/30 13:38:58 - mmengine - INFO - Epoch(train) [77][280/3757] lr: 1.000e-03 eta: 6:51:02 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 7.6327 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9858 loss: 0.9858 2022/06/30 13:39:03 - mmengine - INFO - Epoch(train) [77][300/3757] lr: 1.000e-03 eta: 6:50:57 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 8.6460 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1543 loss: 1.1543 2022/06/30 13:39:09 - mmengine - INFO - Epoch(train) [77][320/3757] lr: 1.000e-03 eta: 6:50:51 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 7.6533 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7311 loss: 0.7311 2022/06/30 13:39:15 - mmengine - INFO - Epoch(train) [77][340/3757] lr: 1.000e-03 eta: 6:50:46 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 8.4057 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9835 loss: 0.9835 2022/06/30 13:39:20 - mmengine - INFO - Epoch(train) [77][360/3757] lr: 1.000e-03 eta: 6:50:40 time: 0.296 data_time: 0.010 memory: 6404 grad_norm: 9.1950 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9856 loss: 0.9856 2022/06/30 13:39:26 - mmengine - INFO - Epoch(train) [77][380/3757] lr: 1.000e-03 eta: 6:50:35 time: 0.286 data_time: 0.011 memory: 6404 grad_norm: 9.9809 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2506 loss: 1.2506 2022/06/30 13:39:31 - mmengine - INFO - Epoch(train) [77][400/3757] lr: 1.000e-03 eta: 6:50:29 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 7.8209 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2152 loss: 1.2152 2022/06/30 13:39:36 - mmengine - INFO - Epoch(train) [77][420/3757] lr: 1.000e-03 eta: 6:50:24 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 8.6204 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0166 loss: 1.0166 2022/06/30 13:39:41 - mmengine - INFO - Epoch(train) [77][440/3757] lr: 1.000e-03 eta: 6:50:18 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 8.7192 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0961 loss: 1.0961 2022/06/30 13:39:47 - mmengine - INFO - Epoch(train) [77][460/3757] lr: 1.000e-03 eta: 6:50:12 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 9.7923 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3952 loss: 1.3952 2022/06/30 13:39:49 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 13:39:52 - mmengine - INFO - Epoch(train) [77][480/3757] lr: 1.000e-03 eta: 6:50:07 time: 0.255 data_time: 0.019 memory: 6404 grad_norm: 9.4989 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1182 loss: 1.1182 2022/06/30 13:39:57 - mmengine - INFO - Epoch(train) [77][500/3757] lr: 1.000e-03 eta: 6:50:01 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 8.0658 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2658 loss: 1.2658 2022/06/30 13:40:04 - mmengine - INFO - Epoch(train) [77][520/3757] lr: 1.000e-03 eta: 6:49:56 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 7.7263 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3276 loss: 1.3276 2022/06/30 13:40:09 - mmengine - INFO - Epoch(train) [77][540/3757] lr: 1.000e-03 eta: 6:49:51 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 8.7609 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9079 loss: 0.9079 2022/06/30 13:40:15 - mmengine - INFO - Epoch(train) [77][560/3757] lr: 1.000e-03 eta: 6:49:45 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 6.9126 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3062 loss: 1.3062 2022/06/30 13:40:20 - mmengine - INFO - Epoch(train) [77][580/3757] lr: 1.000e-03 eta: 6:49:40 time: 0.277 data_time: 0.016 memory: 6404 grad_norm: 8.7223 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0219 loss: 1.0219 2022/06/30 13:40:26 - mmengine - INFO - Epoch(train) [77][600/3757] lr: 1.000e-03 eta: 6:49:34 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 8.6579 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8966 loss: 0.8966 2022/06/30 13:40:31 - mmengine - INFO - Epoch(train) [77][620/3757] lr: 1.000e-03 eta: 6:49:29 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 9.1507 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.8994 loss: 0.8994 2022/06/30 13:40:36 - mmengine - INFO - Epoch(train) [77][640/3757] lr: 1.000e-03 eta: 6:49:23 time: 0.255 data_time: 0.012 memory: 6404 grad_norm: 9.4812 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8537 loss: 0.8537 2022/06/30 13:40:42 - mmengine - INFO - Epoch(train) [77][660/3757] lr: 1.000e-03 eta: 6:49:18 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 10.5739 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2487 loss: 1.2487 2022/06/30 13:40:47 - mmengine - INFO - Epoch(train) [77][680/3757] lr: 1.000e-03 eta: 6:49:12 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 9.4238 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8192 loss: 0.8192 2022/06/30 13:40:52 - mmengine - INFO - Epoch(train) [77][700/3757] lr: 1.000e-03 eta: 6:49:06 time: 0.256 data_time: 0.016 memory: 6404 grad_norm: 9.5046 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7444 loss: 0.7444 2022/06/30 13:40:57 - mmengine - INFO - Epoch(train) [77][720/3757] lr: 1.000e-03 eta: 6:49:01 time: 0.253 data_time: 0.015 memory: 6404 grad_norm: 7.9519 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0361 loss: 1.0361 2022/06/30 13:41:03 - mmengine - INFO - Epoch(train) [77][740/3757] lr: 1.000e-03 eta: 6:48:55 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 8.7995 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2048 loss: 1.2048 2022/06/30 13:41:09 - mmengine - INFO - Epoch(train) [77][760/3757] lr: 1.000e-03 eta: 6:48:50 time: 0.277 data_time: 0.041 memory: 6404 grad_norm: 8.5657 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1753 loss: 1.1753 2022/06/30 13:41:14 - mmengine - INFO - Epoch(train) [77][780/3757] lr: 1.000e-03 eta: 6:48:45 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.5072 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9569 loss: 0.9569 2022/06/30 13:41:20 - mmengine - INFO - Epoch(train) [77][800/3757] lr: 1.000e-03 eta: 6:48:39 time: 0.240 data_time: 0.011 memory: 6404 grad_norm: 9.0126 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8327 loss: 0.8327 2022/06/30 13:41:25 - mmengine - INFO - Epoch(train) [77][820/3757] lr: 1.000e-03 eta: 6:48:33 time: 0.253 data_time: 0.052 memory: 6404 grad_norm: 7.0761 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1072 loss: 1.1072 2022/06/30 13:41:32 - mmengine - INFO - Epoch(train) [77][840/3757] lr: 1.000e-03 eta: 6:48:28 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 8.1134 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9950 loss: 0.9950 2022/06/30 13:41:37 - mmengine - INFO - Epoch(train) [77][860/3757] lr: 1.000e-03 eta: 6:48:23 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 9.0273 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3174 loss: 1.3174 2022/06/30 13:41:42 - mmengine - INFO - Epoch(train) [77][880/3757] lr: 1.000e-03 eta: 6:48:17 time: 0.262 data_time: 0.015 memory: 6404 grad_norm: 7.8017 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3134 loss: 1.3134 2022/06/30 13:41:47 - mmengine - INFO - Epoch(train) [77][900/3757] lr: 1.000e-03 eta: 6:48:12 time: 0.262 data_time: 0.010 memory: 6404 grad_norm: 8.3863 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3518 loss: 1.3518 2022/06/30 13:41:53 - mmengine - INFO - Epoch(train) [77][920/3757] lr: 1.000e-03 eta: 6:48:06 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 8.4242 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9501 loss: 0.9501 2022/06/30 13:41:58 - mmengine - INFO - Epoch(train) [77][940/3757] lr: 1.000e-03 eta: 6:48:01 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 8.7291 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7657 loss: 0.7657 2022/06/30 13:42:03 - mmengine - INFO - Epoch(train) [77][960/3757] lr: 1.000e-03 eta: 6:47:55 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 9.9221 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9114 loss: 0.9114 2022/06/30 13:42:09 - mmengine - INFO - Epoch(train) [77][980/3757] lr: 1.000e-03 eta: 6:47:50 time: 0.254 data_time: 0.026 memory: 6404 grad_norm: 8.9722 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3074 loss: 1.3074 2022/06/30 13:42:15 - mmengine - INFO - Epoch(train) [77][1000/3757] lr: 1.000e-03 eta: 6:47:44 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 8.3368 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2598 loss: 1.2598 2022/06/30 13:42:20 - mmengine - INFO - Epoch(train) [77][1020/3757] lr: 1.000e-03 eta: 6:47:39 time: 0.263 data_time: 0.062 memory: 6404 grad_norm: 7.4140 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2046 loss: 1.2046 2022/06/30 13:42:26 - mmengine - INFO - Epoch(train) [77][1040/3757] lr: 1.000e-03 eta: 6:47:33 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 7.6950 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2793 loss: 1.2793 2022/06/30 13:42:31 - mmengine - INFO - Epoch(train) [77][1060/3757] lr: 1.000e-03 eta: 6:47:28 time: 0.272 data_time: 0.012 memory: 6404 grad_norm: 9.0863 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0827 loss: 1.0827 2022/06/30 13:42:37 - mmengine - INFO - Epoch(train) [77][1080/3757] lr: 1.000e-03 eta: 6:47:22 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 6.6843 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3197 loss: 1.3197 2022/06/30 13:42:42 - mmengine - INFO - Epoch(train) [77][1100/3757] lr: 1.000e-03 eta: 6:47:17 time: 0.273 data_time: 0.008 memory: 6404 grad_norm: 9.3988 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8953 loss: 0.8953 2022/06/30 13:42:47 - mmengine - INFO - Epoch(train) [77][1120/3757] lr: 1.000e-03 eta: 6:47:11 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.5997 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9747 loss: 0.9747 2022/06/30 13:42:53 - mmengine - INFO - Epoch(train) [77][1140/3757] lr: 1.000e-03 eta: 6:47:06 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 8.5447 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1814 loss: 1.1814 2022/06/30 13:42:58 - mmengine - INFO - Epoch(train) [77][1160/3757] lr: 1.000e-03 eta: 6:47:00 time: 0.267 data_time: 0.015 memory: 6404 grad_norm: 9.3925 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9827 loss: 0.9827 2022/06/30 13:43:04 - mmengine - INFO - Epoch(train) [77][1180/3757] lr: 1.000e-03 eta: 6:46:55 time: 0.255 data_time: 0.017 memory: 6404 grad_norm: 9.9116 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1889 loss: 1.1889 2022/06/30 13:43:10 - mmengine - INFO - Epoch(train) [77][1200/3757] lr: 1.000e-03 eta: 6:46:49 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 8.7454 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.8959 loss: 0.8959 2022/06/30 13:43:16 - mmengine - INFO - Epoch(train) [77][1220/3757] lr: 1.000e-03 eta: 6:46:44 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 10.1250 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2258 loss: 1.2258 2022/06/30 13:43:21 - mmengine - INFO - Epoch(train) [77][1240/3757] lr: 1.000e-03 eta: 6:46:38 time: 0.260 data_time: 0.027 memory: 6404 grad_norm: 8.7179 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3134 loss: 1.3134 2022/06/30 13:43:26 - mmengine - INFO - Epoch(train) [77][1260/3757] lr: 1.000e-03 eta: 6:46:33 time: 0.239 data_time: 0.009 memory: 6404 grad_norm: 8.5608 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0222 loss: 1.0222 2022/06/30 13:43:32 - mmengine - INFO - Epoch(train) [77][1280/3757] lr: 1.000e-03 eta: 6:46:27 time: 0.264 data_time: 0.010 memory: 6404 grad_norm: 7.6194 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4251 loss: 1.4251 2022/06/30 13:43:37 - mmengine - INFO - Epoch(train) [77][1300/3757] lr: 1.000e-03 eta: 6:46:22 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 8.3886 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1372 loss: 1.1372 2022/06/30 13:43:42 - mmengine - INFO - Epoch(train) [77][1320/3757] lr: 1.000e-03 eta: 6:46:16 time: 0.258 data_time: 0.018 memory: 6404 grad_norm: 9.7944 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8126 loss: 0.8126 2022/06/30 13:43:47 - mmengine - INFO - Epoch(train) [77][1340/3757] lr: 1.000e-03 eta: 6:46:10 time: 0.254 data_time: 0.019 memory: 6404 grad_norm: 9.3007 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6130 loss: 1.6130 2022/06/30 13:43:53 - mmengine - INFO - Epoch(train) [77][1360/3757] lr: 1.000e-03 eta: 6:46:05 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 9.3245 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9778 loss: 0.9778 2022/06/30 13:43:59 - mmengine - INFO - Epoch(train) [77][1380/3757] lr: 1.000e-03 eta: 6:46:00 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 8.6725 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0711 loss: 1.0711 2022/06/30 13:44:04 - mmengine - INFO - Epoch(train) [77][1400/3757] lr: 1.000e-03 eta: 6:45:54 time: 0.266 data_time: 0.013 memory: 6404 grad_norm: 9.3723 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3810 loss: 1.3810 2022/06/30 13:44:09 - mmengine - INFO - Epoch(train) [77][1420/3757] lr: 1.000e-03 eta: 6:45:48 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 9.5158 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1200 loss: 1.1200 2022/06/30 13:44:15 - mmengine - INFO - Epoch(train) [77][1440/3757] lr: 1.000e-03 eta: 6:45:43 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 8.3848 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0506 loss: 1.0506 2022/06/30 13:44:20 - mmengine - INFO - Epoch(train) [77][1460/3757] lr: 1.000e-03 eta: 6:45:37 time: 0.288 data_time: 0.012 memory: 6404 grad_norm: 9.9675 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3107 loss: 1.3107 2022/06/30 13:44:22 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 13:44:25 - mmengine - INFO - Epoch(train) [77][1480/3757] lr: 1.000e-03 eta: 6:45:32 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 7.1392 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9501 loss: 0.9501 2022/06/30 13:44:31 - mmengine - INFO - Epoch(train) [77][1500/3757] lr: 1.000e-03 eta: 6:45:26 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 8.6783 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2166 loss: 1.2166 2022/06/30 13:44:36 - mmengine - INFO - Epoch(train) [77][1520/3757] lr: 1.000e-03 eta: 6:45:21 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.0835 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2610 loss: 1.2610 2022/06/30 13:44:41 - mmengine - INFO - Epoch(train) [77][1540/3757] lr: 1.000e-03 eta: 6:45:15 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 9.9587 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9841 loss: 0.9841 2022/06/30 13:44:47 - mmengine - INFO - Epoch(train) [77][1560/3757] lr: 1.000e-03 eta: 6:45:10 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.6617 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1387 loss: 1.1387 2022/06/30 13:44:53 - mmengine - INFO - Epoch(train) [77][1580/3757] lr: 1.000e-03 eta: 6:45:04 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 7.8783 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1525 loss: 1.1525 2022/06/30 13:44:58 - mmengine - INFO - Epoch(train) [77][1600/3757] lr: 1.000e-03 eta: 6:44:59 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 9.3783 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2620 loss: 1.2620 2022/06/30 13:45:03 - mmengine - INFO - Epoch(train) [77][1620/3757] lr: 1.000e-03 eta: 6:44:53 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 9.3052 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5567 loss: 1.5567 2022/06/30 13:45:09 - mmengine - INFO - Epoch(train) [77][1640/3757] lr: 1.000e-03 eta: 6:44:48 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 9.2726 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9179 loss: 0.9179 2022/06/30 13:45:15 - mmengine - INFO - Epoch(train) [77][1660/3757] lr: 1.000e-03 eta: 6:44:42 time: 0.284 data_time: 0.007 memory: 6404 grad_norm: 10.6119 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0618 loss: 1.0618 2022/06/30 13:45:20 - mmengine - INFO - Epoch(train) [77][1680/3757] lr: 1.000e-03 eta: 6:44:37 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 9.7506 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0123 loss: 1.0123 2022/06/30 13:45:26 - mmengine - INFO - Epoch(train) [77][1700/3757] lr: 1.000e-03 eta: 6:44:32 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 8.4410 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1153 loss: 1.1153 2022/06/30 13:45:32 - mmengine - INFO - Epoch(train) [77][1720/3757] lr: 1.000e-03 eta: 6:44:26 time: 1.277 data_time: 0.007 memory: 6404 grad_norm: 9.4354 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1792 loss: 1.1792 2022/06/30 13:45:37 - mmengine - INFO - Epoch(train) [77][1740/3757] lr: 1.000e-03 eta: 6:44:21 time: 0.247 data_time: 0.015 memory: 6404 grad_norm: 9.1536 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2798 loss: 1.2798 2022/06/30 13:45:42 - mmengine - INFO - Epoch(train) [77][1760/3757] lr: 1.000e-03 eta: 6:44:15 time: 0.261 data_time: 0.014 memory: 6404 grad_norm: 10.1433 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2893 loss: 1.2893 2022/06/30 13:45:48 - mmengine - INFO - Epoch(train) [77][1780/3757] lr: 1.000e-03 eta: 6:44:10 time: 0.267 data_time: 0.015 memory: 6404 grad_norm: 7.1235 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8876 loss: 0.8876 2022/06/30 13:45:53 - mmengine - INFO - Epoch(train) [77][1800/3757] lr: 1.000e-03 eta: 6:44:04 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 8.6972 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9913 loss: 0.9913 2022/06/30 13:45:59 - mmengine - INFO - Epoch(train) [77][1820/3757] lr: 1.000e-03 eta: 6:43:59 time: 0.267 data_time: 0.011 memory: 6404 grad_norm: 7.4840 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2257 loss: 1.2257 2022/06/30 13:46:04 - mmengine - INFO - Epoch(train) [77][1840/3757] lr: 1.000e-03 eta: 6:43:53 time: 0.272 data_time: 0.016 memory: 6404 grad_norm: 7.8587 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3844 loss: 1.3844 2022/06/30 13:46:09 - mmengine - INFO - Epoch(train) [77][1860/3757] lr: 1.000e-03 eta: 6:43:47 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 6.9725 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0916 loss: 1.0916 2022/06/30 13:46:15 - mmengine - INFO - Epoch(train) [77][1880/3757] lr: 1.000e-03 eta: 6:43:42 time: 0.271 data_time: 0.009 memory: 6404 grad_norm: 8.0786 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0698 loss: 1.0698 2022/06/30 13:46:20 - mmengine - INFO - Epoch(train) [77][1900/3757] lr: 1.000e-03 eta: 6:43:36 time: 0.290 data_time: 0.007 memory: 6404 grad_norm: 6.5897 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1592 loss: 1.1592 2022/06/30 13:46:26 - mmengine - INFO - Epoch(train) [77][1920/3757] lr: 1.000e-03 eta: 6:43:31 time: 0.254 data_time: 0.017 memory: 6404 grad_norm: 8.5176 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2365 loss: 1.2365 2022/06/30 13:46:32 - mmengine - INFO - Epoch(train) [77][1940/3757] lr: 1.000e-03 eta: 6:43:26 time: 0.267 data_time: 0.009 memory: 6404 grad_norm: 9.5176 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3356 loss: 1.3356 2022/06/30 13:46:37 - mmengine - INFO - Epoch(train) [77][1960/3757] lr: 1.000e-03 eta: 6:43:20 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 9.7690 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2144 loss: 1.2144 2022/06/30 13:46:42 - mmengine - INFO - Epoch(train) [77][1980/3757] lr: 1.000e-03 eta: 6:43:15 time: 0.251 data_time: 0.014 memory: 6404 grad_norm: 9.7246 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9518 loss: 0.9518 2022/06/30 13:46:48 - mmengine - INFO - Epoch(train) [77][2000/3757] lr: 1.000e-03 eta: 6:43:09 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 8.8942 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1478 loss: 1.1478 2022/06/30 13:46:53 - mmengine - INFO - Epoch(train) [77][2020/3757] lr: 1.000e-03 eta: 6:43:04 time: 0.277 data_time: 0.020 memory: 6404 grad_norm: 8.3379 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1270 loss: 1.1270 2022/06/30 13:46:59 - mmengine - INFO - Epoch(train) [77][2040/3757] lr: 1.000e-03 eta: 6:42:58 time: 0.260 data_time: 0.015 memory: 6404 grad_norm: 9.2523 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0323 loss: 1.0323 2022/06/30 13:47:04 - mmengine - INFO - Epoch(train) [77][2060/3757] lr: 1.000e-03 eta: 6:42:52 time: 0.244 data_time: 0.009 memory: 6404 grad_norm: 7.1246 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0036 loss: 1.0036 2022/06/30 13:47:09 - mmengine - INFO - Epoch(train) [77][2080/3757] lr: 1.000e-03 eta: 6:42:47 time: 0.248 data_time: 0.022 memory: 6404 grad_norm: 10.2770 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2538 loss: 1.2538 2022/06/30 13:47:14 - mmengine - INFO - Epoch(train) [77][2100/3757] lr: 1.000e-03 eta: 6:42:41 time: 0.270 data_time: 0.017 memory: 6404 grad_norm: 6.3244 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9771 loss: 0.9771 2022/06/30 13:47:20 - mmengine - INFO - Epoch(train) [77][2120/3757] lr: 1.000e-03 eta: 6:42:36 time: 0.261 data_time: 0.009 memory: 6404 grad_norm: 9.8501 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2446 loss: 1.2446 2022/06/30 13:47:25 - mmengine - INFO - Epoch(train) [77][2140/3757] lr: 1.000e-03 eta: 6:42:30 time: 0.256 data_time: 0.020 memory: 6404 grad_norm: 7.0739 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0445 loss: 1.0445 2022/06/30 13:47:31 - mmengine - INFO - Epoch(train) [77][2160/3757] lr: 1.000e-03 eta: 6:42:25 time: 0.253 data_time: 0.018 memory: 6404 grad_norm: 7.9288 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3079 loss: 1.3079 2022/06/30 13:47:37 - mmengine - INFO - Epoch(train) [77][2180/3757] lr: 1.000e-03 eta: 6:42:19 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 8.7946 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3855 loss: 1.3855 2022/06/30 13:47:42 - mmengine - INFO - Epoch(train) [77][2200/3757] lr: 1.000e-03 eta: 6:42:14 time: 0.270 data_time: 0.019 memory: 6404 grad_norm: 10.2123 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3342 loss: 1.3342 2022/06/30 13:47:47 - mmengine - INFO - Epoch(train) [77][2220/3757] lr: 1.000e-03 eta: 6:42:08 time: 0.255 data_time: 0.018 memory: 6404 grad_norm: 9.4659 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1624 loss: 1.1624 2022/06/30 13:47:53 - mmengine - INFO - Epoch(train) [77][2240/3757] lr: 1.000e-03 eta: 6:42:03 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 8.5206 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4028 loss: 1.4028 2022/06/30 13:47:58 - mmengine - INFO - Epoch(train) [77][2260/3757] lr: 1.000e-03 eta: 6:41:57 time: 0.262 data_time: 0.037 memory: 6404 grad_norm: 8.2963 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7685 loss: 0.7685 2022/06/30 13:48:03 - mmengine - INFO - Epoch(train) [77][2280/3757] lr: 1.000e-03 eta: 6:41:52 time: 0.256 data_time: 0.020 memory: 6404 grad_norm: 9.4967 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9664 loss: 0.9664 2022/06/30 13:48:09 - mmengine - INFO - Epoch(train) [77][2300/3757] lr: 1.000e-03 eta: 6:41:46 time: 0.258 data_time: 0.015 memory: 6404 grad_norm: 9.5599 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1516 loss: 1.1516 2022/06/30 13:48:15 - mmengine - INFO - Epoch(train) [77][2320/3757] lr: 1.000e-03 eta: 6:41:41 time: 0.279 data_time: 0.021 memory: 6404 grad_norm: 7.9273 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0550 loss: 1.0550 2022/06/30 13:48:20 - mmengine - INFO - Epoch(train) [77][2340/3757] lr: 1.000e-03 eta: 6:41:35 time: 0.263 data_time: 0.018 memory: 6404 grad_norm: 9.1625 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2009 loss: 1.2009 2022/06/30 13:48:26 - mmengine - INFO - Epoch(train) [77][2360/3757] lr: 1.000e-03 eta: 6:41:30 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 8.6777 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9732 loss: 0.9732 2022/06/30 13:48:31 - mmengine - INFO - Epoch(train) [77][2380/3757] lr: 1.000e-03 eta: 6:41:24 time: 0.405 data_time: 0.030 memory: 6404 grad_norm: 9.0946 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3190 loss: 1.3190 2022/06/30 13:48:37 - mmengine - INFO - Epoch(train) [77][2400/3757] lr: 1.000e-03 eta: 6:41:19 time: 0.241 data_time: 0.010 memory: 6404 grad_norm: 5.9934 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2464 loss: 1.2464 2022/06/30 13:48:42 - mmengine - INFO - Epoch(train) [77][2420/3757] lr: 1.000e-03 eta: 6:41:13 time: 0.269 data_time: 0.008 memory: 6404 grad_norm: 8.0470 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2763 loss: 1.2763 2022/06/30 13:48:47 - mmengine - INFO - Epoch(train) [77][2440/3757] lr: 1.000e-03 eta: 6:41:08 time: 0.266 data_time: 0.015 memory: 6404 grad_norm: 8.2678 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1184 loss: 1.1184 2022/06/30 13:48:53 - mmengine - INFO - Epoch(train) [77][2460/3757] lr: 1.000e-03 eta: 6:41:02 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 8.2386 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0092 loss: 1.0092 2022/06/30 13:48:55 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 13:48:59 - mmengine - INFO - Epoch(train) [77][2480/3757] lr: 1.000e-03 eta: 6:40:57 time: 0.506 data_time: 0.014 memory: 6404 grad_norm: 7.9906 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3576 loss: 1.3576 2022/06/30 13:49:04 - mmengine - INFO - Epoch(train) [77][2500/3757] lr: 1.000e-03 eta: 6:40:51 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 8.2010 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1964 loss: 1.1964 2022/06/30 13:49:09 - mmengine - INFO - Epoch(train) [77][2520/3757] lr: 1.000e-03 eta: 6:40:46 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 7.8496 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9377 loss: 0.9377 2022/06/30 13:49:15 - mmengine - INFO - Epoch(train) [77][2540/3757] lr: 1.000e-03 eta: 6:40:41 time: 0.317 data_time: 0.018 memory: 6404 grad_norm: 9.4374 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0056 loss: 1.0056 2022/06/30 13:49:21 - mmengine - INFO - Epoch(train) [77][2560/3757] lr: 1.000e-03 eta: 6:40:35 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 9.7685 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3546 loss: 1.3546 2022/06/30 13:49:26 - mmengine - INFO - Epoch(train) [77][2580/3757] lr: 1.000e-03 eta: 6:40:30 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 8.8785 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0583 loss: 1.0583 2022/06/30 13:49:31 - mmengine - INFO - Epoch(train) [77][2600/3757] lr: 1.000e-03 eta: 6:40:24 time: 0.394 data_time: 0.007 memory: 6404 grad_norm: 9.9843 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4323 loss: 1.4323 2022/06/30 13:49:37 - mmengine - INFO - Epoch(train) [77][2620/3757] lr: 1.000e-03 eta: 6:40:18 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 8.3756 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2401 loss: 1.2401 2022/06/30 13:49:42 - mmengine - INFO - Epoch(train) [77][2640/3757] lr: 1.000e-03 eta: 6:40:13 time: 0.258 data_time: 0.015 memory: 6404 grad_norm: 8.7804 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4806 loss: 1.4806 2022/06/30 13:49:47 - mmengine - INFO - Epoch(train) [77][2660/3757] lr: 1.000e-03 eta: 6:40:07 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 8.8668 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2345 loss: 1.2345 2022/06/30 13:49:52 - mmengine - INFO - Epoch(train) [77][2680/3757] lr: 1.000e-03 eta: 6:40:02 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 10.0662 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8561 loss: 0.8561 2022/06/30 13:49:59 - mmengine - INFO - Epoch(train) [77][2700/3757] lr: 1.000e-03 eta: 6:39:56 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 8.8574 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2089 loss: 1.2089 2022/06/30 13:50:04 - mmengine - INFO - Epoch(train) [77][2720/3757] lr: 1.000e-03 eta: 6:39:51 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 9.0982 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0303 loss: 1.0303 2022/06/30 13:50:10 - mmengine - INFO - Epoch(train) [77][2740/3757] lr: 1.000e-03 eta: 6:39:46 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 8.0450 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0348 loss: 1.0348 2022/06/30 13:50:16 - mmengine - INFO - Epoch(train) [77][2760/3757] lr: 1.000e-03 eta: 6:39:40 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.7767 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0240 loss: 1.0240 2022/06/30 13:50:21 - mmengine - INFO - Epoch(train) [77][2780/3757] lr: 1.000e-03 eta: 6:39:35 time: 0.266 data_time: 0.008 memory: 6404 grad_norm: 9.4620 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8409 loss: 0.8409 2022/06/30 13:50:26 - mmengine - INFO - Epoch(train) [77][2800/3757] lr: 1.000e-03 eta: 6:39:29 time: 0.309 data_time: 0.019 memory: 6404 grad_norm: 8.5606 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0234 loss: 1.0234 2022/06/30 13:50:32 - mmengine - INFO - Epoch(train) [77][2820/3757] lr: 1.000e-03 eta: 6:39:24 time: 0.300 data_time: 0.008 memory: 6404 grad_norm: 10.3531 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4521 loss: 1.4521 2022/06/30 13:50:37 - mmengine - INFO - Epoch(train) [77][2840/3757] lr: 1.000e-03 eta: 6:39:18 time: 0.266 data_time: 0.012 memory: 6404 grad_norm: 7.8672 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3072 loss: 1.3072 2022/06/30 13:50:42 - mmengine - INFO - Epoch(train) [77][2860/3757] lr: 1.000e-03 eta: 6:39:12 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 10.3592 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2085 loss: 1.2085 2022/06/30 13:50:47 - mmengine - INFO - Epoch(train) [77][2880/3757] lr: 1.000e-03 eta: 6:39:07 time: 0.260 data_time: 0.021 memory: 6404 grad_norm: 7.9137 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2094 loss: 1.2094 2022/06/30 13:50:53 - mmengine - INFO - Epoch(train) [77][2900/3757] lr: 1.000e-03 eta: 6:39:01 time: 0.259 data_time: 0.018 memory: 6404 grad_norm: 8.8963 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4788 loss: 1.4788 2022/06/30 13:50:58 - mmengine - INFO - Epoch(train) [77][2920/3757] lr: 1.000e-03 eta: 6:38:56 time: 0.258 data_time: 0.019 memory: 6404 grad_norm: 8.3448 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0241 loss: 1.0241 2022/06/30 13:51:04 - mmengine - INFO - Epoch(train) [77][2940/3757] lr: 1.000e-03 eta: 6:38:50 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 10.0093 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1979 loss: 1.1979 2022/06/30 13:51:09 - mmengine - INFO - Epoch(train) [77][2960/3757] lr: 1.000e-03 eta: 6:38:45 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 6.6584 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1502 loss: 1.1502 2022/06/30 13:51:15 - mmengine - INFO - Epoch(train) [77][2980/3757] lr: 1.000e-03 eta: 6:38:39 time: 0.243 data_time: 0.019 memory: 6404 grad_norm: 8.0544 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3039 loss: 1.3039 2022/06/30 13:51:20 - mmengine - INFO - Epoch(train) [77][3000/3757] lr: 1.000e-03 eta: 6:38:34 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 11.8743 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0182 loss: 1.0182 2022/06/30 13:51:25 - mmengine - INFO - Epoch(train) [77][3020/3757] lr: 1.000e-03 eta: 6:38:28 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 8.9930 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9521 loss: 0.9521 2022/06/30 13:51:31 - mmengine - INFO - Epoch(train) [77][3040/3757] lr: 1.000e-03 eta: 6:38:23 time: 0.612 data_time: 0.420 memory: 6404 grad_norm: 9.7626 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2159 loss: 1.2159 2022/06/30 13:51:37 - mmengine - INFO - Epoch(train) [77][3060/3757] lr: 1.000e-03 eta: 6:38:17 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 8.5757 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8010 loss: 0.8010 2022/06/30 13:51:42 - mmengine - INFO - Epoch(train) [77][3080/3757] lr: 1.000e-03 eta: 6:38:12 time: 0.310 data_time: 0.048 memory: 6404 grad_norm: 7.7977 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2646 loss: 1.2646 2022/06/30 13:51:47 - mmengine - INFO - Epoch(train) [77][3100/3757] lr: 1.000e-03 eta: 6:38:06 time: 0.537 data_time: 0.347 memory: 6404 grad_norm: 9.9189 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0471 loss: 1.0471 2022/06/30 13:51:53 - mmengine - INFO - Epoch(train) [77][3120/3757] lr: 1.000e-03 eta: 6:38:01 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 8.6469 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9217 loss: 0.9217 2022/06/30 13:51:58 - mmengine - INFO - Epoch(train) [77][3140/3757] lr: 1.000e-03 eta: 6:37:55 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 8.0465 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1091 loss: 1.1091 2022/06/30 13:52:04 - mmengine - INFO - Epoch(train) [77][3160/3757] lr: 1.000e-03 eta: 6:37:50 time: 0.284 data_time: 0.079 memory: 6404 grad_norm: 9.2202 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3010 loss: 1.3010 2022/06/30 13:52:09 - mmengine - INFO - Epoch(train) [77][3180/3757] lr: 1.000e-03 eta: 6:37:44 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 8.0394 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1573 loss: 1.1573 2022/06/30 13:52:15 - mmengine - INFO - Epoch(train) [77][3200/3757] lr: 1.000e-03 eta: 6:37:39 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 8.8850 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0583 loss: 1.0583 2022/06/30 13:52:20 - mmengine - INFO - Epoch(train) [77][3220/3757] lr: 1.000e-03 eta: 6:37:33 time: 0.252 data_time: 0.045 memory: 6404 grad_norm: 6.8709 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1632 loss: 1.1632 2022/06/30 13:52:26 - mmengine - INFO - Epoch(train) [77][3240/3757] lr: 1.000e-03 eta: 6:37:28 time: 0.260 data_time: 0.006 memory: 6404 grad_norm: 7.7701 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3892 loss: 1.3892 2022/06/30 13:52:31 - mmengine - INFO - Epoch(train) [77][3260/3757] lr: 1.000e-03 eta: 6:37:22 time: 0.268 data_time: 0.009 memory: 6404 grad_norm: 8.4239 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0599 loss: 1.0599 2022/06/30 13:52:37 - mmengine - INFO - Epoch(train) [77][3280/3757] lr: 1.000e-03 eta: 6:37:17 time: 0.283 data_time: 0.026 memory: 6404 grad_norm: 9.2623 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0250 loss: 1.0250 2022/06/30 13:52:42 - mmengine - INFO - Epoch(train) [77][3300/3757] lr: 1.000e-03 eta: 6:37:11 time: 0.251 data_time: 0.018 memory: 6404 grad_norm: 8.7004 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1332 loss: 1.1332 2022/06/30 13:52:47 - mmengine - INFO - Epoch(train) [77][3320/3757] lr: 1.000e-03 eta: 6:37:06 time: 0.267 data_time: 0.010 memory: 6404 grad_norm: 8.6381 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3092 loss: 1.3092 2022/06/30 13:52:53 - mmengine - INFO - Epoch(train) [77][3340/3757] lr: 1.000e-03 eta: 6:37:00 time: 0.275 data_time: 0.050 memory: 6404 grad_norm: 8.9161 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3942 loss: 1.3942 2022/06/30 13:52:58 - mmengine - INFO - Epoch(train) [77][3360/3757] lr: 1.000e-03 eta: 6:36:55 time: 0.256 data_time: 0.013 memory: 6404 grad_norm: 7.9227 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9169 loss: 0.9169 2022/06/30 13:53:04 - mmengine - INFO - Epoch(train) [77][3380/3757] lr: 1.000e-03 eta: 6:36:49 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 8.8953 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7759 loss: 0.7759 2022/06/30 13:53:10 - mmengine - INFO - Epoch(train) [77][3400/3757] lr: 1.000e-03 eta: 6:36:44 time: 0.260 data_time: 0.020 memory: 6404 grad_norm: 7.9001 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2920 loss: 1.2920 2022/06/30 13:53:15 - mmengine - INFO - Epoch(train) [77][3420/3757] lr: 1.000e-03 eta: 6:36:38 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 8.9297 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8989 loss: 0.8989 2022/06/30 13:53:20 - mmengine - INFO - Epoch(train) [77][3440/3757] lr: 1.000e-03 eta: 6:36:33 time: 0.262 data_time: 0.014 memory: 6404 grad_norm: 8.1861 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9193 loss: 0.9193 2022/06/30 13:53:25 - mmengine - INFO - Epoch(train) [77][3460/3757] lr: 1.000e-03 eta: 6:36:27 time: 0.274 data_time: 0.021 memory: 6404 grad_norm: 8.6611 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9820 loss: 0.9820 2022/06/30 13:53:28 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 13:53:32 - mmengine - INFO - Epoch(train) [77][3480/3757] lr: 1.000e-03 eta: 6:36:22 time: 0.304 data_time: 0.007 memory: 6404 grad_norm: 8.8896 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9967 loss: 0.9967 2022/06/30 13:53:37 - mmengine - INFO - Epoch(train) [77][3500/3757] lr: 1.000e-03 eta: 6:36:16 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 8.1616 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3784 loss: 1.3784 2022/06/30 13:53:42 - mmengine - INFO - Epoch(train) [77][3520/3757] lr: 1.000e-03 eta: 6:36:11 time: 0.283 data_time: 0.049 memory: 6404 grad_norm: 8.2843 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3136 loss: 1.3136 2022/06/30 13:53:47 - mmengine - INFO - Epoch(train) [77][3540/3757] lr: 1.000e-03 eta: 6:36:05 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 7.6790 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2083 loss: 1.2083 2022/06/30 13:53:53 - mmengine - INFO - Epoch(train) [77][3560/3757] lr: 1.000e-03 eta: 6:36:00 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 9.4770 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1439 loss: 1.1439 2022/06/30 13:53:59 - mmengine - INFO - Epoch(train) [77][3580/3757] lr: 1.000e-03 eta: 6:35:54 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 8.5148 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1443 loss: 1.1443 2022/06/30 13:54:05 - mmengine - INFO - Epoch(train) [77][3600/3757] lr: 1.000e-03 eta: 6:35:49 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 7.3802 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8650 loss: 0.8650 2022/06/30 13:54:10 - mmengine - INFO - Epoch(train) [77][3620/3757] lr: 1.000e-03 eta: 6:35:44 time: 0.252 data_time: 0.015 memory: 6404 grad_norm: 8.5649 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2274 loss: 1.2274 2022/06/30 13:54:16 - mmengine - INFO - Epoch(train) [77][3640/3757] lr: 1.000e-03 eta: 6:35:38 time: 0.255 data_time: 0.017 memory: 6404 grad_norm: 9.2208 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5017 loss: 1.5017 2022/06/30 13:54:21 - mmengine - INFO - Epoch(train) [77][3660/3757] lr: 1.000e-03 eta: 6:35:32 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 9.4252 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4354 loss: 1.4354 2022/06/30 13:54:26 - mmengine - INFO - Epoch(train) [77][3680/3757] lr: 1.000e-03 eta: 6:35:27 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 9.9030 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0269 loss: 1.0269 2022/06/30 13:54:31 - mmengine - INFO - Epoch(train) [77][3700/3757] lr: 1.000e-03 eta: 6:35:21 time: 0.257 data_time: 0.018 memory: 6404 grad_norm: 8.3342 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1471 loss: 1.1471 2022/06/30 13:54:37 - mmengine - INFO - Epoch(train) [77][3720/3757] lr: 1.000e-03 eta: 6:35:16 time: 0.263 data_time: 0.010 memory: 6404 grad_norm: 8.3579 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2777 loss: 1.2777 2022/06/30 13:54:42 - mmengine - INFO - Epoch(train) [77][3740/3757] lr: 1.000e-03 eta: 6:35:10 time: 0.267 data_time: 0.009 memory: 6404 grad_norm: 8.5214 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1023 loss: 1.1023 2022/06/30 13:54:46 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 13:54:54 - mmengine - INFO - Epoch(val) [77][20/310] eta: 0:01:22 time: 0.174 data_time: 0.095 memory: 6404 2022/06/30 13:54:59 - mmengine - INFO - Epoch(val) [77][40/310] eta: 0:00:55 time: 0.090 data_time: 0.009 memory: 1479 2022/06/30 13:55:04 - mmengine - INFO - Epoch(val) [77][60/310] eta: 0:00:46 time: 0.082 data_time: 0.007 memory: 1479 2022/06/30 13:55:10 - mmengine - INFO - Epoch(val) [77][80/310] eta: 0:01:07 time: 0.159 data_time: 0.080 memory: 1479 2022/06/30 13:55:18 - mmengine - INFO - Epoch(val) [77][100/310] eta: 0:00:45 time: 0.083 data_time: 0.005 memory: 1479 2022/06/30 13:55:24 - mmengine - INFO - Epoch(val) [77][120/310] eta: 0:00:56 time: 0.079 data_time: 0.005 memory: 1479 2022/06/30 13:55:29 - mmengine - INFO - Epoch(val) [77][140/310] eta: 0:00:47 time: 0.085 data_time: 0.010 memory: 1479 2022/06/30 13:55:35 - mmengine - INFO - Epoch(val) [77][160/310] eta: 0:00:53 time: 0.096 data_time: 0.005 memory: 1479 2022/06/30 13:55:39 - mmengine - INFO - Epoch(val) [77][180/310] eta: 0:00:38 time: 0.082 data_time: 0.005 memory: 1479 2022/06/30 13:55:46 - mmengine - INFO - Epoch(val) [77][200/310] eta: 0:00:41 time: 0.079 data_time: 0.005 memory: 1479 2022/06/30 13:55:50 - mmengine - INFO - Epoch(val) [77][220/310] eta: 0:00:13 time: 0.084 data_time: 0.005 memory: 1479 2022/06/30 13:55:56 - mmengine - INFO - Epoch(val) [77][240/310] eta: 0:00:20 time: 0.078 data_time: 0.005 memory: 1479 2022/06/30 13:56:01 - mmengine - INFO - Epoch(val) [77][260/310] eta: 0:00:04 time: 0.092 data_time: 0.012 memory: 1479 2022/06/30 13:56:07 - mmengine - INFO - Epoch(val) [77][280/310] eta: 0:00:08 time: 0.085 data_time: 0.007 memory: 1479 2022/06/30 13:56:12 - mmengine - INFO - Epoch(val) [77][300/310] eta: 0:00:02 time: 0.088 data_time: 0.005 memory: 1479 2022/06/30 13:56:17 - mmengine - INFO - Epoch(val) [77][310/310] acc/top1: 0.6654 acc/top5: 0.8667 acc/mean1: 0.6653 2022/06/30 13:56:28 - mmengine - INFO - Epoch(train) [78][20/3757] lr: 1.000e-03 eta: 6:35:01 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.6369 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9741 loss: 0.9741 2022/06/30 13:56:33 - mmengine - INFO - Epoch(train) [78][40/3757] lr: 1.000e-03 eta: 6:34:55 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.8220 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0660 loss: 1.0660 2022/06/30 13:56:39 - mmengine - INFO - Epoch(train) [78][60/3757] lr: 1.000e-03 eta: 6:34:50 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.3677 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9470 loss: 0.9470 2022/06/30 13:56:44 - mmengine - INFO - Epoch(train) [78][80/3757] lr: 1.000e-03 eta: 6:34:44 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 8.6739 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9991 loss: 0.9991 2022/06/30 13:56:49 - mmengine - INFO - Epoch(train) [78][100/3757] lr: 1.000e-03 eta: 6:34:39 time: 0.264 data_time: 0.019 memory: 6404 grad_norm: 8.7704 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7875 loss: 0.7875 2022/06/30 13:56:55 - mmengine - INFO - Epoch(train) [78][120/3757] lr: 1.000e-03 eta: 6:34:33 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 8.2306 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3525 loss: 1.3525 2022/06/30 13:57:00 - mmengine - INFO - Epoch(train) [78][140/3757] lr: 1.000e-03 eta: 6:34:28 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.8769 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3122 loss: 1.3122 2022/06/30 13:57:06 - mmengine - INFO - Epoch(train) [78][160/3757] lr: 1.000e-03 eta: 6:34:22 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.4046 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0406 loss: 1.0406 2022/06/30 13:57:11 - mmengine - INFO - Epoch(train) [78][180/3757] lr: 1.000e-03 eta: 6:34:17 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 8.3505 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9798 loss: 0.9798 2022/06/30 13:57:17 - mmengine - INFO - Epoch(train) [78][200/3757] lr: 1.000e-03 eta: 6:34:11 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.6765 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2028 loss: 1.2028 2022/06/30 13:57:22 - mmengine - INFO - Epoch(train) [78][220/3757] lr: 1.000e-03 eta: 6:34:06 time: 0.286 data_time: 0.014 memory: 6404 grad_norm: 8.8745 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2616 loss: 1.2616 2022/06/30 13:57:27 - mmengine - INFO - Epoch(train) [78][240/3757] lr: 1.000e-03 eta: 6:34:00 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.2286 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1208 loss: 1.1208 2022/06/30 13:57:33 - mmengine - INFO - Epoch(train) [78][260/3757] lr: 1.000e-03 eta: 6:33:55 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 9.3228 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0907 loss: 1.0907 2022/06/30 13:57:38 - mmengine - INFO - Epoch(train) [78][280/3757] lr: 1.000e-03 eta: 6:33:49 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 10.2194 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5575 loss: 1.5575 2022/06/30 13:57:44 - mmengine - INFO - Epoch(train) [78][300/3757] lr: 1.000e-03 eta: 6:33:44 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 8.1725 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0699 loss: 1.0699 2022/06/30 13:57:49 - mmengine - INFO - Epoch(train) [78][320/3757] lr: 1.000e-03 eta: 6:33:38 time: 0.253 data_time: 0.015 memory: 6404 grad_norm: 7.0831 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3985 loss: 1.3985 2022/06/30 13:57:55 - mmengine - INFO - Epoch(train) [78][340/3757] lr: 1.000e-03 eta: 6:33:33 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.7375 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2437 loss: 1.2437 2022/06/30 13:58:01 - mmengine - INFO - Epoch(train) [78][360/3757] lr: 1.000e-03 eta: 6:33:27 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 8.0398 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2617 loss: 1.2617 2022/06/30 13:58:06 - mmengine - INFO - Epoch(train) [78][380/3757] lr: 1.000e-03 eta: 6:33:22 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 8.7903 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1543 loss: 1.1543 2022/06/30 13:58:12 - mmengine - INFO - Epoch(train) [78][400/3757] lr: 1.000e-03 eta: 6:33:16 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.1179 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9022 loss: 0.9022 2022/06/30 13:58:17 - mmengine - INFO - Epoch(train) [78][420/3757] lr: 1.000e-03 eta: 6:33:11 time: 0.265 data_time: 0.014 memory: 6404 grad_norm: 7.6932 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7460 loss: 0.7460 2022/06/30 13:58:22 - mmengine - INFO - Epoch(train) [78][440/3757] lr: 1.000e-03 eta: 6:33:05 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 9.0446 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0318 loss: 1.0318 2022/06/30 13:58:27 - mmengine - INFO - Epoch(train) [78][460/3757] lr: 1.000e-03 eta: 6:33:00 time: 0.233 data_time: 0.013 memory: 6404 grad_norm: 7.9496 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9118 loss: 0.9118 2022/06/30 13:58:34 - mmengine - INFO - Epoch(train) [78][480/3757] lr: 1.000e-03 eta: 6:32:54 time: 0.257 data_time: 0.025 memory: 6404 grad_norm: 9.8808 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1476 loss: 1.1476 2022/06/30 13:58:39 - mmengine - INFO - Epoch(train) [78][500/3757] lr: 1.000e-03 eta: 6:32:49 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 9.3002 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3909 loss: 1.3909 2022/06/30 13:58:44 - mmengine - INFO - Epoch(train) [78][520/3757] lr: 1.000e-03 eta: 6:32:43 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 8.0547 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0954 loss: 1.0954 2022/06/30 13:58:51 - mmengine - INFO - Epoch(train) [78][540/3757] lr: 1.000e-03 eta: 6:32:38 time: 0.265 data_time: 0.014 memory: 6404 grad_norm: 8.8190 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2925 loss: 1.2925 2022/06/30 13:58:56 - mmengine - INFO - Epoch(train) [78][560/3757] lr: 1.000e-03 eta: 6:32:33 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 8.5967 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9558 loss: 0.9558 2022/06/30 13:59:02 - mmengine - INFO - Epoch(train) [78][580/3757] lr: 1.000e-03 eta: 6:32:27 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 9.0359 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4147 loss: 1.4147 2022/06/30 13:59:07 - mmengine - INFO - Epoch(train) [78][600/3757] lr: 1.000e-03 eta: 6:32:22 time: 0.246 data_time: 0.014 memory: 6404 grad_norm: 9.0996 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4784 loss: 1.4784 2022/06/30 13:59:12 - mmengine - INFO - Epoch(train) [78][620/3757] lr: 1.000e-03 eta: 6:32:16 time: 0.261 data_time: 0.014 memory: 6404 grad_norm: 7.9822 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0814 loss: 1.0814 2022/06/30 13:59:18 - mmengine - INFO - Epoch(train) [78][640/3757] lr: 1.000e-03 eta: 6:32:11 time: 0.261 data_time: 0.014 memory: 6404 grad_norm: 9.9187 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3399 loss: 1.3399 2022/06/30 13:59:23 - mmengine - INFO - Epoch(train) [78][660/3757] lr: 1.000e-03 eta: 6:32:05 time: 0.309 data_time: 0.008 memory: 6404 grad_norm: 8.1139 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9437 loss: 0.9437 2022/06/30 13:59:28 - mmengine - INFO - Epoch(train) [78][680/3757] lr: 1.000e-03 eta: 6:32:00 time: 0.253 data_time: 0.026 memory: 6404 grad_norm: 9.8729 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6625 loss: 1.6625 2022/06/30 13:59:34 - mmengine - INFO - Epoch(train) [78][700/3757] lr: 1.000e-03 eta: 6:31:54 time: 0.253 data_time: 0.018 memory: 6404 grad_norm: 9.3346 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7751 loss: 0.7751 2022/06/30 13:59:37 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 13:59:39 - mmengine - INFO - Epoch(train) [78][720/3757] lr: 1.000e-03 eta: 6:31:48 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 7.5003 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8648 loss: 0.8648 2022/06/30 13:59:45 - mmengine - INFO - Epoch(train) [78][740/3757] lr: 1.000e-03 eta: 6:31:43 time: 0.265 data_time: 0.064 memory: 6404 grad_norm: 10.1363 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2758 loss: 1.2758 2022/06/30 13:59:50 - mmengine - INFO - Epoch(train) [78][760/3757] lr: 1.000e-03 eta: 6:31:37 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 8.1707 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3155 loss: 1.3155 2022/06/30 13:59:55 - mmengine - INFO - Epoch(train) [78][780/3757] lr: 1.000e-03 eta: 6:31:32 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 8.1953 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9234 loss: 0.9234 2022/06/30 14:00:00 - mmengine - INFO - Epoch(train) [78][800/3757] lr: 1.000e-03 eta: 6:31:26 time: 0.260 data_time: 0.025 memory: 6404 grad_norm: 8.0234 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2767 loss: 1.2767 2022/06/30 14:00:06 - mmengine - INFO - Epoch(train) [78][820/3757] lr: 1.000e-03 eta: 6:31:21 time: 0.258 data_time: 0.019 memory: 6404 grad_norm: 9.4668 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1420 loss: 1.1420 2022/06/30 14:00:13 - mmengine - INFO - Epoch(train) [78][840/3757] lr: 1.000e-03 eta: 6:31:16 time: 0.414 data_time: 0.008 memory: 6404 grad_norm: 8.1447 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2538 loss: 1.2538 2022/06/30 14:00:18 - mmengine - INFO - Epoch(train) [78][860/3757] lr: 1.000e-03 eta: 6:31:10 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 8.7050 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8265 loss: 0.8265 2022/06/30 14:00:24 - mmengine - INFO - Epoch(train) [78][880/3757] lr: 1.000e-03 eta: 6:31:05 time: 0.265 data_time: 0.010 memory: 6404 grad_norm: 8.0258 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2878 loss: 1.2878 2022/06/30 14:00:29 - mmengine - INFO - Epoch(train) [78][900/3757] lr: 1.000e-03 eta: 6:30:59 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 10.5514 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8152 loss: 0.8152 2022/06/30 14:00:35 - mmengine - INFO - Epoch(train) [78][920/3757] lr: 1.000e-03 eta: 6:30:54 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 8.7004 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3544 loss: 1.3544 2022/06/30 14:00:40 - mmengine - INFO - Epoch(train) [78][940/3757] lr: 1.000e-03 eta: 6:30:48 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 8.1868 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0398 loss: 1.0398 2022/06/30 14:00:46 - mmengine - INFO - Epoch(train) [78][960/3757] lr: 1.000e-03 eta: 6:30:43 time: 0.263 data_time: 0.008 memory: 6404 grad_norm: 9.1816 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0071 loss: 1.0071 2022/06/30 14:00:51 - mmengine - INFO - Epoch(train) [78][980/3757] lr: 1.000e-03 eta: 6:30:37 time: 0.254 data_time: 0.022 memory: 6404 grad_norm: 7.9425 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0170 loss: 1.0170 2022/06/30 14:00:56 - mmengine - INFO - Epoch(train) [78][1000/3757] lr: 1.000e-03 eta: 6:30:32 time: 0.261 data_time: 0.009 memory: 6404 grad_norm: 8.7132 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1044 loss: 1.1044 2022/06/30 14:01:01 - mmengine - INFO - Epoch(train) [78][1020/3757] lr: 1.000e-03 eta: 6:30:26 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 10.9996 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7634 loss: 1.7634 2022/06/30 14:01:07 - mmengine - INFO - Epoch(train) [78][1040/3757] lr: 1.000e-03 eta: 6:30:21 time: 0.249 data_time: 0.017 memory: 6404 grad_norm: 8.5950 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6350 loss: 1.6350 2022/06/30 14:01:12 - mmengine - INFO - Epoch(train) [78][1060/3757] lr: 1.000e-03 eta: 6:30:15 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 8.6998 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0634 loss: 1.0634 2022/06/30 14:01:19 - mmengine - INFO - Epoch(train) [78][1080/3757] lr: 1.000e-03 eta: 6:30:10 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.0358 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0674 loss: 1.0674 2022/06/30 14:01:24 - mmengine - INFO - Epoch(train) [78][1100/3757] lr: 1.000e-03 eta: 6:30:04 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 7.7497 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0463 loss: 1.0463 2022/06/30 14:01:29 - mmengine - INFO - Epoch(train) [78][1120/3757] lr: 1.000e-03 eta: 6:29:59 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 9.5239 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9219 loss: 0.9219 2022/06/30 14:01:35 - mmengine - INFO - Epoch(train) [78][1140/3757] lr: 1.000e-03 eta: 6:29:53 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 9.3916 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1707 loss: 1.1707 2022/06/30 14:01:40 - mmengine - INFO - Epoch(train) [78][1160/3757] lr: 1.000e-03 eta: 6:29:48 time: 0.272 data_time: 0.010 memory: 6404 grad_norm: 8.9796 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0453 loss: 1.0453 2022/06/30 14:01:45 - mmengine - INFO - Epoch(train) [78][1180/3757] lr: 1.000e-03 eta: 6:29:42 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 8.2543 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1822 loss: 1.1822 2022/06/30 14:01:50 - mmengine - INFO - Epoch(train) [78][1200/3757] lr: 1.000e-03 eta: 6:29:36 time: 0.268 data_time: 0.011 memory: 6404 grad_norm: 8.2979 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3716 loss: 1.3716 2022/06/30 14:01:56 - mmengine - INFO - Epoch(train) [78][1220/3757] lr: 1.000e-03 eta: 6:29:31 time: 0.962 data_time: 0.008 memory: 6404 grad_norm: 8.3678 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1224 loss: 1.1224 2022/06/30 14:02:02 - mmengine - INFO - Epoch(train) [78][1240/3757] lr: 1.000e-03 eta: 6:29:26 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 7.6249 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0381 loss: 1.0381 2022/06/30 14:02:07 - mmengine - INFO - Epoch(train) [78][1260/3757] lr: 1.000e-03 eta: 6:29:20 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 9.2527 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5272 loss: 1.5272 2022/06/30 14:02:13 - mmengine - INFO - Epoch(train) [78][1280/3757] lr: 1.000e-03 eta: 6:29:15 time: 0.693 data_time: 0.007 memory: 6404 grad_norm: 7.2525 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8909 loss: 0.8909 2022/06/30 14:02:18 - mmengine - INFO - Epoch(train) [78][1300/3757] lr: 1.000e-03 eta: 6:29:09 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 8.8030 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2991 loss: 1.2991 2022/06/30 14:02:23 - mmengine - INFO - Epoch(train) [78][1320/3757] lr: 1.000e-03 eta: 6:29:04 time: 0.241 data_time: 0.007 memory: 6404 grad_norm: 7.6805 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1624 loss: 1.1624 2022/06/30 14:02:29 - mmengine - INFO - Epoch(train) [78][1340/3757] lr: 1.000e-03 eta: 6:28:58 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.9723 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3448 loss: 1.3448 2022/06/30 14:02:34 - mmengine - INFO - Epoch(train) [78][1360/3757] lr: 1.000e-03 eta: 6:28:53 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 8.3429 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9610 loss: 0.9610 2022/06/30 14:02:40 - mmengine - INFO - Epoch(train) [78][1380/3757] lr: 1.000e-03 eta: 6:28:47 time: 0.374 data_time: 0.007 memory: 6404 grad_norm: 9.8406 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3643 loss: 1.3643 2022/06/30 14:02:45 - mmengine - INFO - Epoch(train) [78][1400/3757] lr: 1.000e-03 eta: 6:28:42 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 9.0506 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0911 loss: 1.0911 2022/06/30 14:02:51 - mmengine - INFO - Epoch(train) [78][1420/3757] lr: 1.000e-03 eta: 6:28:36 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 9.4867 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0249 loss: 1.0249 2022/06/30 14:02:57 - mmengine - INFO - Epoch(train) [78][1440/3757] lr: 1.000e-03 eta: 6:28:31 time: 0.275 data_time: 0.019 memory: 6404 grad_norm: 12.7191 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0210 loss: 1.0210 2022/06/30 14:03:02 - mmengine - INFO - Epoch(train) [78][1460/3757] lr: 1.000e-03 eta: 6:28:25 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 7.6595 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3767 loss: 1.3767 2022/06/30 14:03:07 - mmengine - INFO - Epoch(train) [78][1480/3757] lr: 1.000e-03 eta: 6:28:20 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 9.5776 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9996 loss: 0.9996 2022/06/30 14:03:13 - mmengine - INFO - Epoch(train) [78][1500/3757] lr: 1.000e-03 eta: 6:28:14 time: 0.438 data_time: 0.019 memory: 6404 grad_norm: 9.5082 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0954 loss: 1.0954 2022/06/30 14:03:18 - mmengine - INFO - Epoch(train) [78][1520/3757] lr: 1.000e-03 eta: 6:28:09 time: 0.248 data_time: 0.019 memory: 6404 grad_norm: 7.0175 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1957 loss: 1.1957 2022/06/30 14:03:24 - mmengine - INFO - Epoch(train) [78][1540/3757] lr: 1.000e-03 eta: 6:28:03 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 8.9832 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0657 loss: 1.0657 2022/06/30 14:03:29 - mmengine - INFO - Epoch(train) [78][1560/3757] lr: 1.000e-03 eta: 6:27:58 time: 0.453 data_time: 0.013 memory: 6404 grad_norm: 10.5955 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8685 loss: 0.8685 2022/06/30 14:03:36 - mmengine - INFO - Epoch(train) [78][1580/3757] lr: 1.000e-03 eta: 6:27:52 time: 0.240 data_time: 0.016 memory: 6404 grad_norm: 10.8801 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3517 loss: 1.3517 2022/06/30 14:03:41 - mmengine - INFO - Epoch(train) [78][1600/3757] lr: 1.000e-03 eta: 6:27:47 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 6.7339 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9460 loss: 0.9460 2022/06/30 14:03:46 - mmengine - INFO - Epoch(train) [78][1620/3757] lr: 1.000e-03 eta: 6:27:41 time: 0.258 data_time: 0.029 memory: 6404 grad_norm: 10.2167 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9720 loss: 0.9720 2022/06/30 14:03:51 - mmengine - INFO - Epoch(train) [78][1640/3757] lr: 1.000e-03 eta: 6:27:36 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 8.4221 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0265 loss: 1.0265 2022/06/30 14:03:57 - mmengine - INFO - Epoch(train) [78][1660/3757] lr: 1.000e-03 eta: 6:27:30 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 7.2553 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9406 loss: 0.9406 2022/06/30 14:04:02 - mmengine - INFO - Epoch(train) [78][1680/3757] lr: 1.000e-03 eta: 6:27:25 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 8.7808 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2392 loss: 1.2392 2022/06/30 14:04:07 - mmengine - INFO - Epoch(train) [78][1700/3757] lr: 1.000e-03 eta: 6:27:19 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 10.5588 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2824 loss: 1.2824 2022/06/30 14:04:10 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 14:04:13 - mmengine - INFO - Epoch(train) [78][1720/3757] lr: 1.000e-03 eta: 6:27:14 time: 0.347 data_time: 0.008 memory: 6404 grad_norm: 7.9360 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0453 loss: 1.0453 2022/06/30 14:04:18 - mmengine - INFO - Epoch(train) [78][1740/3757] lr: 1.000e-03 eta: 6:27:08 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 9.0137 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2018 loss: 1.2018 2022/06/30 14:04:24 - mmengine - INFO - Epoch(train) [78][1760/3757] lr: 1.000e-03 eta: 6:27:03 time: 0.559 data_time: 0.008 memory: 6404 grad_norm: 10.2369 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9849 loss: 0.9849 2022/06/30 14:04:29 - mmengine - INFO - Epoch(train) [78][1780/3757] lr: 1.000e-03 eta: 6:26:57 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 9.5604 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2271 loss: 1.2271 2022/06/30 14:04:35 - mmengine - INFO - Epoch(train) [78][1800/3757] lr: 1.000e-03 eta: 6:26:52 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 7.4706 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5050 loss: 1.5050 2022/06/30 14:04:40 - mmengine - INFO - Epoch(train) [78][1820/3757] lr: 1.000e-03 eta: 6:26:46 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 9.4829 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2455 loss: 1.2455 2022/06/30 14:04:46 - mmengine - INFO - Epoch(train) [78][1840/3757] lr: 1.000e-03 eta: 6:26:41 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 7.9286 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9427 loss: 0.9427 2022/06/30 14:04:51 - mmengine - INFO - Epoch(train) [78][1860/3757] lr: 1.000e-03 eta: 6:26:35 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 8.0013 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0142 loss: 1.0142 2022/06/30 14:04:57 - mmengine - INFO - Epoch(train) [78][1880/3757] lr: 1.000e-03 eta: 6:26:30 time: 0.266 data_time: 0.008 memory: 6404 grad_norm: 9.9798 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0150 loss: 1.0150 2022/06/30 14:05:03 - mmengine - INFO - Epoch(train) [78][1900/3757] lr: 1.000e-03 eta: 6:26:24 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 8.0572 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9696 loss: 0.9696 2022/06/30 14:05:08 - mmengine - INFO - Epoch(train) [78][1920/3757] lr: 1.000e-03 eta: 6:26:19 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 9.1837 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1700 loss: 1.1700 2022/06/30 14:05:14 - mmengine - INFO - Epoch(train) [78][1940/3757] lr: 1.000e-03 eta: 6:26:13 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 8.5629 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3691 loss: 1.3691 2022/06/30 14:05:19 - mmengine - INFO - Epoch(train) [78][1960/3757] lr: 1.000e-03 eta: 6:26:08 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.1120 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5382 loss: 1.5382 2022/06/30 14:05:24 - mmengine - INFO - Epoch(train) [78][1980/3757] lr: 1.000e-03 eta: 6:26:02 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 8.0974 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1496 loss: 1.1496 2022/06/30 14:05:30 - mmengine - INFO - Epoch(train) [78][2000/3757] lr: 1.000e-03 eta: 6:25:57 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.9609 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1719 loss: 1.1719 2022/06/30 14:05:36 - mmengine - INFO - Epoch(train) [78][2020/3757] lr: 1.000e-03 eta: 6:25:51 time: 0.301 data_time: 0.011 memory: 6404 grad_norm: 8.2024 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0195 loss: 1.0195 2022/06/30 14:05:41 - mmengine - INFO - Epoch(train) [78][2040/3757] lr: 1.000e-03 eta: 6:25:46 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 8.9200 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5135 loss: 1.5135 2022/06/30 14:05:46 - mmengine - INFO - Epoch(train) [78][2060/3757] lr: 1.000e-03 eta: 6:25:40 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 9.9013 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2235 loss: 1.2235 2022/06/30 14:05:52 - mmengine - INFO - Epoch(train) [78][2080/3757] lr: 1.000e-03 eta: 6:25:35 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 9.8478 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9417 loss: 0.9417 2022/06/30 14:05:58 - mmengine - INFO - Epoch(train) [78][2100/3757] lr: 1.000e-03 eta: 6:25:29 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 7.6092 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1079 loss: 1.1079 2022/06/30 14:06:03 - mmengine - INFO - Epoch(train) [78][2120/3757] lr: 1.000e-03 eta: 6:25:24 time: 0.260 data_time: 0.014 memory: 6404 grad_norm: 8.5463 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0394 loss: 1.0394 2022/06/30 14:06:08 - mmengine - INFO - Epoch(train) [78][2140/3757] lr: 1.000e-03 eta: 6:25:18 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.7956 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9903 loss: 0.9903 2022/06/30 14:06:15 - mmengine - INFO - Epoch(train) [78][2160/3757] lr: 1.000e-03 eta: 6:25:13 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.6917 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1329 loss: 1.1329 2022/06/30 14:06:20 - mmengine - INFO - Epoch(train) [78][2180/3757] lr: 1.000e-03 eta: 6:25:08 time: 0.254 data_time: 0.015 memory: 6404 grad_norm: 7.4323 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0984 loss: 1.0984 2022/06/30 14:06:25 - mmengine - INFO - Epoch(train) [78][2200/3757] lr: 1.000e-03 eta: 6:25:02 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 7.9521 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2791 loss: 1.2791 2022/06/30 14:06:31 - mmengine - INFO - Epoch(train) [78][2220/3757] lr: 1.000e-03 eta: 6:24:56 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 9.1368 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9685 loss: 0.9685 2022/06/30 14:06:36 - mmengine - INFO - Epoch(train) [78][2240/3757] lr: 1.000e-03 eta: 6:24:51 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 9.6602 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9463 loss: 0.9463 2022/06/30 14:06:41 - mmengine - INFO - Epoch(train) [78][2260/3757] lr: 1.000e-03 eta: 6:24:45 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 6.2122 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1149 loss: 1.1149 2022/06/30 14:06:46 - mmengine - INFO - Epoch(train) [78][2280/3757] lr: 1.000e-03 eta: 6:24:40 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 9.4066 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2945 loss: 1.2945 2022/06/30 14:06:52 - mmengine - INFO - Epoch(train) [78][2300/3757] lr: 1.000e-03 eta: 6:24:34 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 9.4445 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1820 loss: 1.1820 2022/06/30 14:06:58 - mmengine - INFO - Epoch(train) [78][2320/3757] lr: 1.000e-03 eta: 6:24:29 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 8.3024 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3243 loss: 1.3243 2022/06/30 14:07:03 - mmengine - INFO - Epoch(train) [78][2340/3757] lr: 1.000e-03 eta: 6:24:23 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 7.0681 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1844 loss: 1.1844 2022/06/30 14:07:08 - mmengine - INFO - Epoch(train) [78][2360/3757] lr: 1.000e-03 eta: 6:24:18 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.6754 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1810 loss: 1.1810 2022/06/30 14:07:14 - mmengine - INFO - Epoch(train) [78][2380/3757] lr: 1.000e-03 eta: 6:24:12 time: 0.254 data_time: 0.016 memory: 6404 grad_norm: 10.3641 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1640 loss: 1.1640 2022/06/30 14:07:20 - mmengine - INFO - Epoch(train) [78][2400/3757] lr: 1.000e-03 eta: 6:24:07 time: 0.627 data_time: 0.007 memory: 6404 grad_norm: 7.8745 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7739 loss: 0.7739 2022/06/30 14:07:26 - mmengine - INFO - Epoch(train) [78][2420/3757] lr: 1.000e-03 eta: 6:24:02 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 11.1779 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3840 loss: 1.3840 2022/06/30 14:07:31 - mmengine - INFO - Epoch(train) [78][2440/3757] lr: 1.000e-03 eta: 6:23:56 time: 0.274 data_time: 0.083 memory: 6404 grad_norm: 9.0886 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1312 loss: 1.1312 2022/06/30 14:07:37 - mmengine - INFO - Epoch(train) [78][2460/3757] lr: 1.000e-03 eta: 6:23:51 time: 0.268 data_time: 0.014 memory: 6404 grad_norm: 8.8246 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1099 loss: 1.1099 2022/06/30 14:07:42 - mmengine - INFO - Epoch(train) [78][2480/3757] lr: 1.000e-03 eta: 6:23:45 time: 0.257 data_time: 0.016 memory: 6404 grad_norm: 9.7306 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1260 loss: 1.1260 2022/06/30 14:07:47 - mmengine - INFO - Epoch(train) [78][2500/3757] lr: 1.000e-03 eta: 6:23:40 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 8.6171 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9164 loss: 0.9164 2022/06/30 14:07:54 - mmengine - INFO - Epoch(train) [78][2520/3757] lr: 1.000e-03 eta: 6:23:34 time: 1.674 data_time: 0.012 memory: 6404 grad_norm: 7.7090 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2841 loss: 1.2841 2022/06/30 14:07:59 - mmengine - INFO - Epoch(train) [78][2540/3757] lr: 1.000e-03 eta: 6:23:29 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 8.5222 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0256 loss: 1.0256 2022/06/30 14:08:04 - mmengine - INFO - Epoch(train) [78][2560/3757] lr: 1.000e-03 eta: 6:23:23 time: 0.243 data_time: 0.038 memory: 6404 grad_norm: 9.5961 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1164 loss: 1.1164 2022/06/30 14:08:09 - mmengine - INFO - Epoch(train) [78][2580/3757] lr: 1.000e-03 eta: 6:23:18 time: 0.256 data_time: 0.015 memory: 6404 grad_norm: 9.5773 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4514 loss: 1.4514 2022/06/30 14:08:15 - mmengine - INFO - Epoch(train) [78][2600/3757] lr: 1.000e-03 eta: 6:23:12 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 7.1591 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2066 loss: 1.2066 2022/06/30 14:08:21 - mmengine - INFO - Epoch(train) [78][2620/3757] lr: 1.000e-03 eta: 6:23:07 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 8.7111 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1033 loss: 1.1033 2022/06/30 14:08:26 - mmengine - INFO - Epoch(train) [78][2640/3757] lr: 1.000e-03 eta: 6:23:01 time: 0.265 data_time: 0.010 memory: 6404 grad_norm: 9.5659 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0218 loss: 1.0218 2022/06/30 14:08:31 - mmengine - INFO - Epoch(train) [78][2660/3757] lr: 1.000e-03 eta: 6:22:56 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.2371 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8032 loss: 0.8032 2022/06/30 14:08:37 - mmengine - INFO - Epoch(train) [78][2680/3757] lr: 1.000e-03 eta: 6:22:50 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 9.3911 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1867 loss: 1.1867 2022/06/30 14:08:42 - mmengine - INFO - Epoch(train) [78][2700/3757] lr: 1.000e-03 eta: 6:22:45 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 7.6614 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2526 loss: 1.2526 2022/06/30 14:08:45 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 14:08:47 - mmengine - INFO - Epoch(train) [78][2720/3757] lr: 1.000e-03 eta: 6:22:39 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 8.3183 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8416 loss: 0.8416 2022/06/30 14:08:53 - mmengine - INFO - Epoch(train) [78][2740/3757] lr: 1.000e-03 eta: 6:22:34 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 8.4842 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9441 loss: 0.9441 2022/06/30 14:08:58 - mmengine - INFO - Epoch(train) [78][2760/3757] lr: 1.000e-03 eta: 6:22:28 time: 0.263 data_time: 0.010 memory: 6404 grad_norm: 8.2705 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1618 loss: 1.1618 2022/06/30 14:09:03 - mmengine - INFO - Epoch(train) [78][2780/3757] lr: 1.000e-03 eta: 6:22:22 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 9.9967 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2953 loss: 1.2953 2022/06/30 14:09:09 - mmengine - INFO - Epoch(train) [78][2800/3757] lr: 1.000e-03 eta: 6:22:17 time: 0.275 data_time: 0.008 memory: 6404 grad_norm: 9.0774 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9500 loss: 0.9500 2022/06/30 14:09:14 - mmengine - INFO - Epoch(train) [78][2820/3757] lr: 1.000e-03 eta: 6:22:11 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 8.9204 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6832 loss: 0.6832 2022/06/30 14:09:19 - mmengine - INFO - Epoch(train) [78][2840/3757] lr: 1.000e-03 eta: 6:22:06 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 9.5423 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9925 loss: 0.9925 2022/06/30 14:09:25 - mmengine - INFO - Epoch(train) [78][2860/3757] lr: 1.000e-03 eta: 6:22:00 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.5535 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3505 loss: 1.3505 2022/06/30 14:09:31 - mmengine - INFO - Epoch(train) [78][2880/3757] lr: 1.000e-03 eta: 6:21:55 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 8.9320 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3599 loss: 1.3599 2022/06/30 14:09:36 - mmengine - INFO - Epoch(train) [78][2900/3757] lr: 1.000e-03 eta: 6:21:50 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 10.0056 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4418 loss: 1.4418 2022/06/30 14:09:42 - mmengine - INFO - Epoch(train) [78][2920/3757] lr: 1.000e-03 eta: 6:21:44 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 8.4593 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0707 loss: 1.0707 2022/06/30 14:09:47 - mmengine - INFO - Epoch(train) [78][2940/3757] lr: 1.000e-03 eta: 6:21:39 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 8.1568 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7073 loss: 0.7073 2022/06/30 14:09:53 - mmengine - INFO - Epoch(train) [78][2960/3757] lr: 1.000e-03 eta: 6:21:33 time: 0.259 data_time: 0.006 memory: 6404 grad_norm: 6.9530 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0861 loss: 1.0861 2022/06/30 14:09:58 - mmengine - INFO - Epoch(train) [78][2980/3757] lr: 1.000e-03 eta: 6:21:28 time: 0.266 data_time: 0.011 memory: 6404 grad_norm: 9.4851 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0605 loss: 1.0605 2022/06/30 14:10:03 - mmengine - INFO - Epoch(train) [78][3000/3757] lr: 1.000e-03 eta: 6:21:22 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 8.5574 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9434 loss: 0.9434 2022/06/30 14:10:09 - mmengine - INFO - Epoch(train) [78][3020/3757] lr: 1.000e-03 eta: 6:21:16 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 9.0146 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9979 loss: 0.9979 2022/06/30 14:10:15 - mmengine - INFO - Epoch(train) [78][3040/3757] lr: 1.000e-03 eta: 6:21:11 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 10.6273 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2261 loss: 1.2261 2022/06/30 14:10:20 - mmengine - INFO - Epoch(train) [78][3060/3757] lr: 1.000e-03 eta: 6:21:05 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 9.8399 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0459 loss: 1.0459 2022/06/30 14:10:25 - mmengine - INFO - Epoch(train) [78][3080/3757] lr: 1.000e-03 eta: 6:21:00 time: 0.265 data_time: 0.013 memory: 6404 grad_norm: 8.0970 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8691 loss: 0.8691 2022/06/30 14:10:30 - mmengine - INFO - Epoch(train) [78][3100/3757] lr: 1.000e-03 eta: 6:20:54 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 9.8489 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0885 loss: 1.0885 2022/06/30 14:10:37 - mmengine - INFO - Epoch(train) [78][3120/3757] lr: 1.000e-03 eta: 6:20:49 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 10.3616 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4115 loss: 1.4115 2022/06/30 14:10:42 - mmengine - INFO - Epoch(train) [78][3140/3757] lr: 1.000e-03 eta: 6:20:44 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 9.0644 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9345 loss: 0.9345 2022/06/30 14:10:47 - mmengine - INFO - Epoch(train) [78][3160/3757] lr: 1.000e-03 eta: 6:20:38 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 9.5148 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0000 loss: 1.0000 2022/06/30 14:10:52 - mmengine - INFO - Epoch(train) [78][3180/3757] lr: 1.000e-03 eta: 6:20:32 time: 0.417 data_time: 0.007 memory: 6404 grad_norm: 8.5176 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2217 loss: 1.2217 2022/06/30 14:10:58 - mmengine - INFO - Epoch(train) [78][3200/3757] lr: 1.000e-03 eta: 6:20:27 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 8.6724 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0267 loss: 1.0267 2022/06/30 14:11:04 - mmengine - INFO - Epoch(train) [78][3220/3757] lr: 1.000e-03 eta: 6:20:21 time: 0.269 data_time: 0.010 memory: 6404 grad_norm: 9.9985 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1738 loss: 1.1738 2022/06/30 14:11:10 - mmengine - INFO - Epoch(train) [78][3240/3757] lr: 1.000e-03 eta: 6:20:16 time: 0.683 data_time: 0.008 memory: 6404 grad_norm: 8.5291 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4625 loss: 1.4625 2022/06/30 14:11:15 - mmengine - INFO - Epoch(train) [78][3260/3757] lr: 1.000e-03 eta: 6:20:11 time: 0.282 data_time: 0.007 memory: 6404 grad_norm: 7.3482 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2505 loss: 1.2505 2022/06/30 14:11:21 - mmengine - INFO - Epoch(train) [78][3280/3757] lr: 1.000e-03 eta: 6:20:05 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 8.8809 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1039 loss: 1.1039 2022/06/30 14:11:26 - mmengine - INFO - Epoch(train) [78][3300/3757] lr: 1.000e-03 eta: 6:20:00 time: 0.273 data_time: 0.017 memory: 6404 grad_norm: 6.8523 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9784 loss: 0.9784 2022/06/30 14:11:31 - mmengine - INFO - Epoch(train) [78][3320/3757] lr: 1.000e-03 eta: 6:19:54 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.6896 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1855 loss: 1.1855 2022/06/30 14:11:36 - mmengine - INFO - Epoch(train) [78][3340/3757] lr: 1.000e-03 eta: 6:19:49 time: 0.269 data_time: 0.016 memory: 6404 grad_norm: 9.4098 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3457 loss: 1.3457 2022/06/30 14:11:42 - mmengine - INFO - Epoch(train) [78][3360/3757] lr: 1.000e-03 eta: 6:19:43 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 6.9209 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2710 loss: 1.2710 2022/06/30 14:11:47 - mmengine - INFO - Epoch(train) [78][3380/3757] lr: 1.000e-03 eta: 6:19:37 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 8.3647 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3655 loss: 1.3655 2022/06/30 14:11:52 - mmengine - INFO - Epoch(train) [78][3400/3757] lr: 1.000e-03 eta: 6:19:32 time: 0.533 data_time: 0.011 memory: 6404 grad_norm: 9.0716 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9438 loss: 0.9438 2022/06/30 14:11:58 - mmengine - INFO - Epoch(train) [78][3420/3757] lr: 1.000e-03 eta: 6:19:26 time: 0.337 data_time: 0.143 memory: 6404 grad_norm: 9.9567 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1676 loss: 1.1676 2022/06/30 14:12:04 - mmengine - INFO - Epoch(train) [78][3440/3757] lr: 1.000e-03 eta: 6:19:21 time: 0.267 data_time: 0.020 memory: 6404 grad_norm: 9.1286 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9634 loss: 0.9634 2022/06/30 14:12:09 - mmengine - INFO - Epoch(train) [78][3460/3757] lr: 1.000e-03 eta: 6:19:15 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 10.5512 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2884 loss: 1.2884 2022/06/30 14:12:14 - mmengine - INFO - Epoch(train) [78][3480/3757] lr: 1.000e-03 eta: 6:19:10 time: 0.261 data_time: 0.024 memory: 6404 grad_norm: 7.3931 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0715 loss: 1.0715 2022/06/30 14:12:21 - mmengine - INFO - Epoch(train) [78][3500/3757] lr: 1.000e-03 eta: 6:19:05 time: 0.258 data_time: 0.016 memory: 6404 grad_norm: 9.0959 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3313 loss: 1.3313 2022/06/30 14:12:26 - mmengine - INFO - Epoch(train) [78][3520/3757] lr: 1.000e-03 eta: 6:18:59 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 9.8755 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1952 loss: 1.1952 2022/06/30 14:12:31 - mmengine - INFO - Epoch(train) [78][3540/3757] lr: 1.000e-03 eta: 6:18:54 time: 0.269 data_time: 0.018 memory: 6404 grad_norm: 9.0787 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0763 loss: 1.0763 2022/06/30 14:12:37 - mmengine - INFO - Epoch(train) [78][3560/3757] lr: 1.000e-03 eta: 6:18:48 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 8.5597 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2150 loss: 1.2150 2022/06/30 14:12:42 - mmengine - INFO - Epoch(train) [78][3580/3757] lr: 1.000e-03 eta: 6:18:43 time: 0.250 data_time: 0.014 memory: 6404 grad_norm: 7.5214 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0444 loss: 1.0444 2022/06/30 14:12:47 - mmengine - INFO - Epoch(train) [78][3600/3757] lr: 1.000e-03 eta: 6:18:37 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.0259 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9397 loss: 0.9397 2022/06/30 14:12:52 - mmengine - INFO - Epoch(train) [78][3620/3757] lr: 1.000e-03 eta: 6:18:31 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.9209 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0597 loss: 1.0597 2022/06/30 14:12:58 - mmengine - INFO - Epoch(train) [78][3640/3757] lr: 1.000e-03 eta: 6:18:26 time: 0.250 data_time: 0.016 memory: 6404 grad_norm: 6.4149 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1369 loss: 1.1369 2022/06/30 14:13:03 - mmengine - INFO - Epoch(train) [78][3660/3757] lr: 1.000e-03 eta: 6:18:20 time: 0.249 data_time: 0.016 memory: 6404 grad_norm: 8.9655 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0797 loss: 1.0797 2022/06/30 14:13:09 - mmengine - INFO - Epoch(train) [78][3680/3757] lr: 1.000e-03 eta: 6:18:15 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 7.9724 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0429 loss: 1.0429 2022/06/30 14:13:15 - mmengine - INFO - Epoch(train) [78][3700/3757] lr: 1.000e-03 eta: 6:18:09 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 9.4052 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0438 loss: 1.0438 2022/06/30 14:13:18 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 14:13:20 - mmengine - INFO - Epoch(train) [78][3720/3757] lr: 1.000e-03 eta: 6:18:04 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 9.9548 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0167 loss: 1.0167 2022/06/30 14:13:26 - mmengine - INFO - Epoch(train) [78][3740/3757] lr: 1.000e-03 eta: 6:17:59 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 9.3154 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4251 loss: 1.4251 2022/06/30 14:13:30 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 14:13:37 - mmengine - INFO - Epoch(val) [78][20/310] eta: 0:01:26 time: 0.088 data_time: 0.006 memory: 6404 2022/06/30 14:13:43 - mmengine - INFO - Epoch(val) [78][40/310] eta: 0:01:16 time: 0.078 data_time: 0.005 memory: 1479 2022/06/30 14:13:47 - mmengine - INFO - Epoch(val) [78][60/310] eta: 0:00:22 time: 0.097 data_time: 0.010 memory: 1479 2022/06/30 14:13:53 - mmengine - INFO - Epoch(val) [78][80/310] eta: 0:01:12 time: 0.101 data_time: 0.016 memory: 1479 2022/06/30 14:13:59 - mmengine - INFO - Epoch(val) [78][100/310] eta: 0:01:03 time: 0.428 data_time: 0.341 memory: 1479 2022/06/30 14:14:02 - mmengine - INFO - Epoch(val) [78][120/310] eta: 0:00:32 time: 0.096 data_time: 0.008 memory: 1479 2022/06/30 14:14:09 - mmengine - INFO - Epoch(val) [78][140/310] eta: 0:00:53 time: 0.086 data_time: 0.009 memory: 1479 2022/06/30 14:14:15 - mmengine - INFO - Epoch(val) [78][160/310] eta: 0:00:49 time: 1.029 data_time: 0.927 memory: 1479 2022/06/30 14:14:19 - mmengine - INFO - Epoch(val) [78][180/310] eta: 0:00:38 time: 0.078 data_time: 0.005 memory: 1479 2022/06/30 14:14:25 - mmengine - INFO - Epoch(val) [78][200/310] eta: 0:00:33 time: 0.084 data_time: 0.007 memory: 1479 2022/06/30 14:14:31 - mmengine - INFO - Epoch(val) [78][220/310] eta: 0:00:27 time: 0.100 data_time: 0.014 memory: 1479 2022/06/30 14:14:35 - mmengine - INFO - Epoch(val) [78][240/310] eta: 0:00:21 time: 0.083 data_time: 0.009 memory: 1479 2022/06/30 14:14:41 - mmengine - INFO - Epoch(val) [78][260/310] eta: 0:00:15 time: 0.084 data_time: 0.009 memory: 1479 2022/06/30 14:14:46 - mmengine - INFO - Epoch(val) [78][280/310] eta: 0:00:06 time: 0.084 data_time: 0.007 memory: 1479 2022/06/30 14:14:50 - mmengine - INFO - Epoch(val) [78][300/310] eta: 0:00:01 time: 0.080 data_time: 0.005 memory: 1479 2022/06/30 14:14:53 - mmengine - INFO - Epoch(val) [78][310/310] acc/top1: 0.6658 acc/top5: 0.8667 acc/mean1: 0.6658 2022/06/30 14:15:02 - mmengine - INFO - Epoch(train) [79][20/3757] lr: 1.000e-03 eta: 6:17:49 time: 0.244 data_time: 0.016 memory: 6404 grad_norm: 8.9951 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9201 loss: 0.9201 2022/06/30 14:15:09 - mmengine - INFO - Epoch(train) [79][40/3757] lr: 1.000e-03 eta: 6:17:43 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 8.9063 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1588 loss: 1.1588 2022/06/30 14:15:14 - mmengine - INFO - Epoch(train) [79][60/3757] lr: 1.000e-03 eta: 6:17:38 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 9.3204 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1232 loss: 1.1232 2022/06/30 14:15:20 - mmengine - INFO - Epoch(train) [79][80/3757] lr: 1.000e-03 eta: 6:17:33 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 8.5935 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8510 loss: 0.8510 2022/06/30 14:15:25 - mmengine - INFO - Epoch(train) [79][100/3757] lr: 1.000e-03 eta: 6:17:27 time: 0.271 data_time: 0.007 memory: 6404 grad_norm: 7.6969 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4516 loss: 1.4516 2022/06/30 14:15:31 - mmengine - INFO - Epoch(train) [79][120/3757] lr: 1.000e-03 eta: 6:17:22 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 8.6413 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7124 loss: 0.7124 2022/06/30 14:15:36 - mmengine - INFO - Epoch(train) [79][140/3757] lr: 1.000e-03 eta: 6:17:16 time: 0.246 data_time: 0.015 memory: 6404 grad_norm: 8.4901 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9091 loss: 0.9091 2022/06/30 14:15:41 - mmengine - INFO - Epoch(train) [79][160/3757] lr: 1.000e-03 eta: 6:17:10 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 9.0527 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0560 loss: 1.0560 2022/06/30 14:15:48 - mmengine - INFO - Epoch(train) [79][180/3757] lr: 1.000e-03 eta: 6:17:05 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 8.3315 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8599 loss: 0.8599 2022/06/30 14:15:53 - mmengine - INFO - Epoch(train) [79][200/3757] lr: 1.000e-03 eta: 6:17:00 time: 0.245 data_time: 0.023 memory: 6404 grad_norm: 6.2774 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9727 loss: 0.9727 2022/06/30 14:15:58 - mmengine - INFO - Epoch(train) [79][220/3757] lr: 1.000e-03 eta: 6:16:54 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 9.0362 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9556 loss: 0.9556 2022/06/30 14:16:03 - mmengine - INFO - Epoch(train) [79][240/3757] lr: 1.000e-03 eta: 6:16:49 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 9.2730 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1055 loss: 1.1055 2022/06/30 14:16:09 - mmengine - INFO - Epoch(train) [79][260/3757] lr: 1.000e-03 eta: 6:16:43 time: 0.264 data_time: 0.021 memory: 6404 grad_norm: 7.9581 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4076 loss: 1.4076 2022/06/30 14:16:15 - mmengine - INFO - Epoch(train) [79][280/3757] lr: 1.000e-03 eta: 6:16:38 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 7.6966 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2370 loss: 1.2370 2022/06/30 14:16:20 - mmengine - INFO - Epoch(train) [79][300/3757] lr: 1.000e-03 eta: 6:16:32 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 7.6819 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2405 loss: 1.2405 2022/06/30 14:16:26 - mmengine - INFO - Epoch(train) [79][320/3757] lr: 1.000e-03 eta: 6:16:27 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 10.0098 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3812 loss: 1.3812 2022/06/30 14:16:31 - mmengine - INFO - Epoch(train) [79][340/3757] lr: 1.000e-03 eta: 6:16:21 time: 0.247 data_time: 0.013 memory: 6404 grad_norm: 10.9920 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0497 loss: 1.0497 2022/06/30 14:16:36 - mmengine - INFO - Epoch(train) [79][360/3757] lr: 1.000e-03 eta: 6:16:16 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.8609 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1735 loss: 1.1735 2022/06/30 14:16:41 - mmengine - INFO - Epoch(train) [79][380/3757] lr: 1.000e-03 eta: 6:16:10 time: 0.252 data_time: 0.016 memory: 6404 grad_norm: 9.4563 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2757 loss: 1.2757 2022/06/30 14:16:47 - mmengine - INFO - Epoch(train) [79][400/3757] lr: 1.000e-03 eta: 6:16:04 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 9.7050 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8606 loss: 0.8606 2022/06/30 14:16:52 - mmengine - INFO - Epoch(train) [79][420/3757] lr: 1.000e-03 eta: 6:15:59 time: 0.263 data_time: 0.009 memory: 6404 grad_norm: 8.1725 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2872 loss: 1.2872 2022/06/30 14:16:58 - mmengine - INFO - Epoch(train) [79][440/3757] lr: 1.000e-03 eta: 6:15:53 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 7.7414 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1791 loss: 1.1791 2022/06/30 14:17:03 - mmengine - INFO - Epoch(train) [79][460/3757] lr: 1.000e-03 eta: 6:15:48 time: 0.260 data_time: 0.044 memory: 6404 grad_norm: 7.6247 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1063 loss: 1.1063 2022/06/30 14:17:09 - mmengine - INFO - Epoch(train) [79][480/3757] lr: 1.000e-03 eta: 6:15:42 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 9.3001 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6804 loss: 0.6804 2022/06/30 14:17:14 - mmengine - INFO - Epoch(train) [79][500/3757] lr: 1.000e-03 eta: 6:15:37 time: 0.338 data_time: 0.013 memory: 6404 grad_norm: 9.3406 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7752 loss: 0.7752 2022/06/30 14:17:19 - mmengine - INFO - Epoch(train) [79][520/3757] lr: 1.000e-03 eta: 6:15:31 time: 0.250 data_time: 0.038 memory: 6404 grad_norm: 8.1790 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9429 loss: 0.9429 2022/06/30 14:17:25 - mmengine - INFO - Epoch(train) [79][540/3757] lr: 1.000e-03 eta: 6:15:26 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.0781 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9392 loss: 0.9392 2022/06/30 14:17:30 - mmengine - INFO - Epoch(train) [79][560/3757] lr: 1.000e-03 eta: 6:15:20 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 9.4040 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9683 loss: 0.9683 2022/06/30 14:17:36 - mmengine - INFO - Epoch(train) [79][580/3757] lr: 1.000e-03 eta: 6:15:15 time: 0.254 data_time: 0.018 memory: 6404 grad_norm: 11.3506 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2672 loss: 1.2672 2022/06/30 14:17:43 - mmengine - INFO - Epoch(train) [79][600/3757] lr: 1.000e-03 eta: 6:15:10 time: 0.242 data_time: 0.014 memory: 6404 grad_norm: 8.9261 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1128 loss: 1.1128 2022/06/30 14:17:48 - mmengine - INFO - Epoch(train) [79][620/3757] lr: 1.000e-03 eta: 6:15:04 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 8.6653 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0974 loss: 1.0974 2022/06/30 14:17:53 - mmengine - INFO - Epoch(train) [79][640/3757] lr: 1.000e-03 eta: 6:14:59 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 9.1825 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9155 loss: 0.9155 2022/06/30 14:17:58 - mmengine - INFO - Epoch(train) [79][660/3757] lr: 1.000e-03 eta: 6:14:53 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.0690 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0866 loss: 1.0866 2022/06/30 14:18:04 - mmengine - INFO - Epoch(train) [79][680/3757] lr: 1.000e-03 eta: 6:14:48 time: 0.271 data_time: 0.007 memory: 6404 grad_norm: 9.1009 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0656 loss: 1.0656 2022/06/30 14:18:09 - mmengine - INFO - Epoch(train) [79][700/3757] lr: 1.000e-03 eta: 6:14:42 time: 0.265 data_time: 0.022 memory: 6404 grad_norm: 6.8484 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2450 loss: 1.2450 2022/06/30 14:18:14 - mmengine - INFO - Epoch(train) [79][720/3757] lr: 1.000e-03 eta: 6:14:37 time: 0.410 data_time: 0.008 memory: 6404 grad_norm: 8.4568 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1315 loss: 1.1315 2022/06/30 14:18:20 - mmengine - INFO - Epoch(train) [79][740/3757] lr: 1.000e-03 eta: 6:14:31 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 8.0512 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3857 loss: 1.3857 2022/06/30 14:18:25 - mmengine - INFO - Epoch(train) [79][760/3757] lr: 1.000e-03 eta: 6:14:26 time: 0.261 data_time: 0.024 memory: 6404 grad_norm: 8.0649 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9492 loss: 0.9492 2022/06/30 14:18:31 - mmengine - INFO - Epoch(train) [79][780/3757] lr: 1.000e-03 eta: 6:14:20 time: 0.267 data_time: 0.011 memory: 6404 grad_norm: 9.6948 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1664 loss: 1.1664 2022/06/30 14:18:37 - mmengine - INFO - Epoch(train) [79][800/3757] lr: 1.000e-03 eta: 6:14:15 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.6960 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9056 loss: 0.9056 2022/06/30 14:18:42 - mmengine - INFO - Epoch(train) [79][820/3757] lr: 1.000e-03 eta: 6:14:09 time: 0.251 data_time: 0.039 memory: 6404 grad_norm: 9.4346 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9483 loss: 0.9483 2022/06/30 14:18:48 - mmengine - INFO - Epoch(train) [79][840/3757] lr: 1.000e-03 eta: 6:14:04 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 7.7047 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1944 loss: 1.1944 2022/06/30 14:18:53 - mmengine - INFO - Epoch(train) [79][860/3757] lr: 1.000e-03 eta: 6:13:58 time: 0.264 data_time: 0.009 memory: 6404 grad_norm: 9.8586 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9206 loss: 0.9206 2022/06/30 14:18:58 - mmengine - INFO - Epoch(train) [79][880/3757] lr: 1.000e-03 eta: 6:13:53 time: 0.258 data_time: 0.060 memory: 6404 grad_norm: 8.1523 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0121 loss: 1.0121 2022/06/30 14:19:04 - mmengine - INFO - Epoch(train) [79][900/3757] lr: 1.000e-03 eta: 6:13:47 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.7291 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8738 loss: 0.8738 2022/06/30 14:19:09 - mmengine - INFO - Epoch(train) [79][920/3757] lr: 1.000e-03 eta: 6:13:42 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 8.7222 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8546 loss: 0.8546 2022/06/30 14:19:15 - mmengine - INFO - Epoch(train) [79][940/3757] lr: 1.000e-03 eta: 6:13:36 time: 0.274 data_time: 0.074 memory: 6404 grad_norm: 8.6397 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0714 loss: 1.0714 2022/06/30 14:19:19 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 14:19:20 - mmengine - INFO - Epoch(train) [79][960/3757] lr: 1.000e-03 eta: 6:13:31 time: 0.253 data_time: 0.018 memory: 6404 grad_norm: 7.6914 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2299 loss: 1.2299 2022/06/30 14:19:26 - mmengine - INFO - Epoch(train) [79][980/3757] lr: 1.000e-03 eta: 6:13:25 time: 0.262 data_time: 0.013 memory: 6404 grad_norm: 7.5782 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0054 loss: 1.0054 2022/06/30 14:19:31 - mmengine - INFO - Epoch(train) [79][1000/3757] lr: 1.000e-03 eta: 6:13:20 time: 0.279 data_time: 0.016 memory: 6404 grad_norm: 9.4751 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2847 loss: 1.2847 2022/06/30 14:19:37 - mmengine - INFO - Epoch(train) [79][1020/3757] lr: 1.000e-03 eta: 6:13:14 time: 0.266 data_time: 0.008 memory: 6404 grad_norm: 8.9778 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0258 loss: 1.0258 2022/06/30 14:19:42 - mmengine - INFO - Epoch(train) [79][1040/3757] lr: 1.000e-03 eta: 6:13:09 time: 0.261 data_time: 0.062 memory: 6404 grad_norm: 8.6317 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2162 loss: 1.2162 2022/06/30 14:19:47 - mmengine - INFO - Epoch(train) [79][1060/3757] lr: 1.000e-03 eta: 6:13:03 time: 0.252 data_time: 0.020 memory: 6404 grad_norm: 8.6541 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6206 loss: 1.6206 2022/06/30 14:19:53 - mmengine - INFO - Epoch(train) [79][1080/3757] lr: 1.000e-03 eta: 6:12:57 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 8.4084 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1181 loss: 1.1181 2022/06/30 14:19:58 - mmengine - INFO - Epoch(train) [79][1100/3757] lr: 1.000e-03 eta: 6:12:52 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 8.1404 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1541 loss: 1.1541 2022/06/30 14:20:04 - mmengine - INFO - Epoch(train) [79][1120/3757] lr: 1.000e-03 eta: 6:12:47 time: 0.290 data_time: 0.008 memory: 6404 grad_norm: 8.8056 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9731 loss: 0.9731 2022/06/30 14:20:10 - mmengine - INFO - Epoch(train) [79][1140/3757] lr: 1.000e-03 eta: 6:12:41 time: 0.266 data_time: 0.008 memory: 6404 grad_norm: 9.6722 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8674 loss: 0.8674 2022/06/30 14:20:15 - mmengine - INFO - Epoch(train) [79][1160/3757] lr: 1.000e-03 eta: 6:12:36 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 9.6325 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1124 loss: 1.1124 2022/06/30 14:20:21 - mmengine - INFO - Epoch(train) [79][1180/3757] lr: 1.000e-03 eta: 6:12:30 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 8.6774 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9548 loss: 0.9548 2022/06/30 14:20:26 - mmengine - INFO - Epoch(train) [79][1200/3757] lr: 1.000e-03 eta: 6:12:25 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 9.0290 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1791 loss: 1.1791 2022/06/30 14:20:32 - mmengine - INFO - Epoch(train) [79][1220/3757] lr: 1.000e-03 eta: 6:12:19 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 9.8766 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9459 loss: 0.9459 2022/06/30 14:20:38 - mmengine - INFO - Epoch(train) [79][1240/3757] lr: 1.000e-03 eta: 6:12:14 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 8.4827 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0536 loss: 1.0536 2022/06/30 14:20:43 - mmengine - INFO - Epoch(train) [79][1260/3757] lr: 1.000e-03 eta: 6:12:08 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 8.1018 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0616 loss: 1.0616 2022/06/30 14:20:48 - mmengine - INFO - Epoch(train) [79][1280/3757] lr: 1.000e-03 eta: 6:12:03 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 10.1519 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1634 loss: 1.1634 2022/06/30 14:20:53 - mmengine - INFO - Epoch(train) [79][1300/3757] lr: 1.000e-03 eta: 6:11:57 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 7.1450 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9502 loss: 0.9502 2022/06/30 14:20:58 - mmengine - INFO - Epoch(train) [79][1320/3757] lr: 1.000e-03 eta: 6:11:52 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 8.0945 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9848 loss: 0.9848 2022/06/30 14:21:04 - mmengine - INFO - Epoch(train) [79][1340/3757] lr: 1.000e-03 eta: 6:11:46 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 9.2695 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1183 loss: 1.1183 2022/06/30 14:21:09 - mmengine - INFO - Epoch(train) [79][1360/3757] lr: 1.000e-03 eta: 6:11:40 time: 0.268 data_time: 0.008 memory: 6404 grad_norm: 9.4324 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9969 loss: 0.9969 2022/06/30 14:21:14 - mmengine - INFO - Epoch(train) [79][1380/3757] lr: 1.000e-03 eta: 6:11:35 time: 0.295 data_time: 0.008 memory: 6404 grad_norm: 8.6744 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0425 loss: 1.0425 2022/06/30 14:21:20 - mmengine - INFO - Epoch(train) [79][1400/3757] lr: 1.000e-03 eta: 6:11:30 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 8.3339 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9491 loss: 0.9491 2022/06/30 14:21:25 - mmengine - INFO - Epoch(train) [79][1420/3757] lr: 1.000e-03 eta: 6:11:24 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 7.6156 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0986 loss: 1.0986 2022/06/30 14:21:31 - mmengine - INFO - Epoch(train) [79][1440/3757] lr: 1.000e-03 eta: 6:11:18 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 8.8863 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2257 loss: 1.2257 2022/06/30 14:21:38 - mmengine - INFO - Epoch(train) [79][1460/3757] lr: 1.000e-03 eta: 6:11:13 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 8.5323 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1589 loss: 1.1589 2022/06/30 14:21:43 - mmengine - INFO - Epoch(train) [79][1480/3757] lr: 1.000e-03 eta: 6:11:08 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 8.2171 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1486 loss: 1.1486 2022/06/30 14:21:48 - mmengine - INFO - Epoch(train) [79][1500/3757] lr: 1.000e-03 eta: 6:11:02 time: 0.256 data_time: 0.017 memory: 6404 grad_norm: 9.6624 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2243 loss: 1.2243 2022/06/30 14:21:53 - mmengine - INFO - Epoch(train) [79][1520/3757] lr: 1.000e-03 eta: 6:10:57 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 9.5330 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0289 loss: 1.0289 2022/06/30 14:21:59 - mmengine - INFO - Epoch(train) [79][1540/3757] lr: 1.000e-03 eta: 6:10:51 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 9.1727 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6242 loss: 1.6242 2022/06/30 14:22:04 - mmengine - INFO - Epoch(train) [79][1560/3757] lr: 1.000e-03 eta: 6:10:46 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 8.4375 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7400 loss: 0.7400 2022/06/30 14:22:10 - mmengine - INFO - Epoch(train) [79][1580/3757] lr: 1.000e-03 eta: 6:10:40 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 9.1968 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8578 loss: 0.8578 2022/06/30 14:22:16 - mmengine - INFO - Epoch(train) [79][1600/3757] lr: 1.000e-03 eta: 6:10:35 time: 0.291 data_time: 0.008 memory: 6404 grad_norm: 10.0387 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0617 loss: 1.0617 2022/06/30 14:22:21 - mmengine - INFO - Epoch(train) [79][1620/3757] lr: 1.000e-03 eta: 6:10:29 time: 0.269 data_time: 0.011 memory: 6404 grad_norm: 9.5277 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3063 loss: 1.3063 2022/06/30 14:22:26 - mmengine - INFO - Epoch(train) [79][1640/3757] lr: 1.000e-03 eta: 6:10:24 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 7.5901 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0962 loss: 1.0962 2022/06/30 14:22:32 - mmengine - INFO - Epoch(train) [79][1660/3757] lr: 1.000e-03 eta: 6:10:18 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 8.0717 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5071 loss: 1.5071 2022/06/30 14:22:37 - mmengine - INFO - Epoch(train) [79][1680/3757] lr: 1.000e-03 eta: 6:10:13 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 10.1043 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1349 loss: 1.1349 2022/06/30 14:22:42 - mmengine - INFO - Epoch(train) [79][1700/3757] lr: 1.000e-03 eta: 6:10:07 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 8.1762 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4397 loss: 1.4397 2022/06/30 14:22:48 - mmengine - INFO - Epoch(train) [79][1720/3757] lr: 1.000e-03 eta: 6:10:02 time: 0.264 data_time: 0.009 memory: 6404 grad_norm: 7.4375 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0593 loss: 1.0593 2022/06/30 14:22:53 - mmengine - INFO - Epoch(train) [79][1740/3757] lr: 1.000e-03 eta: 6:09:56 time: 0.269 data_time: 0.011 memory: 6404 grad_norm: 9.8632 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2211 loss: 1.2211 2022/06/30 14:22:59 - mmengine - INFO - Epoch(train) [79][1760/3757] lr: 1.000e-03 eta: 6:09:51 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 10.3376 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9157 loss: 0.9157 2022/06/30 14:23:05 - mmengine - INFO - Epoch(train) [79][1780/3757] lr: 1.000e-03 eta: 6:09:45 time: 0.360 data_time: 0.008 memory: 6404 grad_norm: 8.9265 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4838 loss: 1.4838 2022/06/30 14:23:11 - mmengine - INFO - Epoch(train) [79][1800/3757] lr: 1.000e-03 eta: 6:09:40 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 9.1136 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9846 loss: 0.9846 2022/06/30 14:23:16 - mmengine - INFO - Epoch(train) [79][1820/3757] lr: 1.000e-03 eta: 6:09:34 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 9.5299 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1884 loss: 1.1884 2022/06/30 14:23:22 - mmengine - INFO - Epoch(train) [79][1840/3757] lr: 1.000e-03 eta: 6:09:29 time: 0.284 data_time: 0.012 memory: 6404 grad_norm: 8.4900 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8585 loss: 0.8585 2022/06/30 14:23:27 - mmengine - INFO - Epoch(train) [79][1860/3757] lr: 1.000e-03 eta: 6:09:23 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 9.3430 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0595 loss: 1.0595 2022/06/30 14:23:32 - mmengine - INFO - Epoch(train) [79][1880/3757] lr: 1.000e-03 eta: 6:09:18 time: 0.262 data_time: 0.015 memory: 6404 grad_norm: 10.3234 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0872 loss: 1.0872 2022/06/30 14:23:37 - mmengine - INFO - Epoch(train) [79][1900/3757] lr: 1.000e-03 eta: 6:09:12 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 8.7780 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2293 loss: 1.2293 2022/06/30 14:23:43 - mmengine - INFO - Epoch(train) [79][1920/3757] lr: 1.000e-03 eta: 6:09:07 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.4284 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1274 loss: 1.1274 2022/06/30 14:23:48 - mmengine - INFO - Epoch(train) [79][1940/3757] lr: 1.000e-03 eta: 6:09:01 time: 0.255 data_time: 0.043 memory: 6404 grad_norm: 8.8905 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3897 loss: 1.3897 2022/06/30 14:23:52 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 14:23:54 - mmengine - INFO - Epoch(train) [79][1960/3757] lr: 1.000e-03 eta: 6:08:56 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 9.2375 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.0921 loss: 1.0921 2022/06/30 14:24:00 - mmengine - INFO - Epoch(train) [79][1980/3757] lr: 1.000e-03 eta: 6:08:50 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 9.6959 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6178 loss: 1.6178 2022/06/30 14:24:05 - mmengine - INFO - Epoch(train) [79][2000/3757] lr: 1.000e-03 eta: 6:08:45 time: 0.259 data_time: 0.019 memory: 6404 grad_norm: 9.5362 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7385 loss: 0.7385 2022/06/30 14:24:11 - mmengine - INFO - Epoch(train) [79][2020/3757] lr: 1.000e-03 eta: 6:08:39 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 8.4303 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1723 loss: 1.1723 2022/06/30 14:24:16 - mmengine - INFO - Epoch(train) [79][2040/3757] lr: 1.000e-03 eta: 6:08:34 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 9.7338 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3018 loss: 1.3018 2022/06/30 14:24:21 - mmengine - INFO - Epoch(train) [79][2060/3757] lr: 1.000e-03 eta: 6:08:28 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.6902 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9717 loss: 0.9717 2022/06/30 14:24:27 - mmengine - INFO - Epoch(train) [79][2080/3757] lr: 1.000e-03 eta: 6:08:23 time: 0.303 data_time: 0.016 memory: 6404 grad_norm: 9.0271 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8561 loss: 0.8561 2022/06/30 14:24:32 - mmengine - INFO - Epoch(train) [79][2100/3757] lr: 1.000e-03 eta: 6:08:17 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 8.7070 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9259 loss: 0.9259 2022/06/30 14:24:38 - mmengine - INFO - Epoch(train) [79][2120/3757] lr: 1.000e-03 eta: 6:08:12 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 9.9971 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7514 loss: 0.7514 2022/06/30 14:24:44 - mmengine - INFO - Epoch(train) [79][2140/3757] lr: 1.000e-03 eta: 6:08:06 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 8.4295 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8107 loss: 0.8107 2022/06/30 14:24:49 - mmengine - INFO - Epoch(train) [79][2160/3757] lr: 1.000e-03 eta: 6:08:01 time: 0.262 data_time: 0.030 memory: 6404 grad_norm: 9.6821 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1434 loss: 1.1434 2022/06/30 14:24:54 - mmengine - INFO - Epoch(train) [79][2180/3757] lr: 1.000e-03 eta: 6:07:55 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 6.8697 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9098 loss: 0.9098 2022/06/30 14:24:59 - mmengine - INFO - Epoch(train) [79][2200/3757] lr: 1.000e-03 eta: 6:07:50 time: 0.251 data_time: 0.019 memory: 6404 grad_norm: 9.7238 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2840 loss: 1.2840 2022/06/30 14:25:06 - mmengine - INFO - Epoch(train) [79][2220/3757] lr: 1.000e-03 eta: 6:07:45 time: 0.255 data_time: 0.049 memory: 6404 grad_norm: 9.9131 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2022 loss: 1.2022 2022/06/30 14:25:12 - mmengine - INFO - Epoch(train) [79][2240/3757] lr: 1.000e-03 eta: 6:07:39 time: 0.742 data_time: 0.010 memory: 6404 grad_norm: 8.0205 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5286 loss: 1.5286 2022/06/30 14:25:18 - mmengine - INFO - Epoch(train) [79][2260/3757] lr: 1.000e-03 eta: 6:07:34 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 7.9162 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9281 loss: 0.9281 2022/06/30 14:25:23 - mmengine - INFO - Epoch(train) [79][2280/3757] lr: 1.000e-03 eta: 6:07:28 time: 0.242 data_time: 0.011 memory: 6404 grad_norm: 9.8494 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4623 loss: 1.4623 2022/06/30 14:25:28 - mmengine - INFO - Epoch(train) [79][2300/3757] lr: 1.000e-03 eta: 6:07:23 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 9.2379 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.1313 loss: 1.1313 2022/06/30 14:25:33 - mmengine - INFO - Epoch(train) [79][2320/3757] lr: 1.000e-03 eta: 6:07:17 time: 0.250 data_time: 0.021 memory: 6404 grad_norm: 8.3068 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2522 loss: 1.2522 2022/06/30 14:25:39 - mmengine - INFO - Epoch(train) [79][2340/3757] lr: 1.000e-03 eta: 6:07:12 time: 0.307 data_time: 0.008 memory: 6404 grad_norm: 9.6103 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1646 loss: 1.1646 2022/06/30 14:25:45 - mmengine - INFO - Epoch(train) [79][2360/3757] lr: 1.000e-03 eta: 6:07:06 time: 0.276 data_time: 0.022 memory: 6404 grad_norm: 9.5476 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1465 loss: 1.1465 2022/06/30 14:25:50 - mmengine - INFO - Epoch(train) [79][2380/3757] lr: 1.000e-03 eta: 6:07:01 time: 0.259 data_time: 0.021 memory: 6404 grad_norm: 9.7141 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3610 loss: 1.3610 2022/06/30 14:25:59 - mmengine - INFO - Epoch(train) [79][2400/3757] lr: 1.000e-03 eta: 6:06:56 time: 0.241 data_time: 0.009 memory: 6404 grad_norm: 7.8275 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0070 loss: 1.0070 2022/06/30 14:26:04 - mmengine - INFO - Epoch(train) [79][2420/3757] lr: 1.000e-03 eta: 6:06:51 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 9.4440 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8710 loss: 0.8710 2022/06/30 14:26:10 - mmengine - INFO - Epoch(train) [79][2440/3757] lr: 1.000e-03 eta: 6:06:45 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 7.8041 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2610 loss: 1.2610 2022/06/30 14:26:15 - mmengine - INFO - Epoch(train) [79][2460/3757] lr: 1.000e-03 eta: 6:06:40 time: 0.354 data_time: 0.017 memory: 6404 grad_norm: 7.3561 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2080 loss: 1.2080 2022/06/30 14:26:20 - mmengine - INFO - Epoch(train) [79][2480/3757] lr: 1.000e-03 eta: 6:06:34 time: 0.256 data_time: 0.020 memory: 6404 grad_norm: 8.2495 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1802 loss: 1.1802 2022/06/30 14:26:25 - mmengine - INFO - Epoch(train) [79][2500/3757] lr: 1.000e-03 eta: 6:06:28 time: 0.253 data_time: 0.056 memory: 6404 grad_norm: 7.4720 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8230 loss: 0.8230 2022/06/30 14:26:31 - mmengine - INFO - Epoch(train) [79][2520/3757] lr: 1.000e-03 eta: 6:06:23 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 8.0443 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0043 loss: 1.0043 2022/06/30 14:26:37 - mmengine - INFO - Epoch(train) [79][2540/3757] lr: 1.000e-03 eta: 6:06:18 time: 0.292 data_time: 0.037 memory: 6404 grad_norm: 8.5780 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1063 loss: 1.1063 2022/06/30 14:26:42 - mmengine - INFO - Epoch(train) [79][2560/3757] lr: 1.000e-03 eta: 6:06:12 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 8.4126 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1358 loss: 1.1358 2022/06/30 14:26:48 - mmengine - INFO - Epoch(train) [79][2580/3757] lr: 1.000e-03 eta: 6:06:07 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 10.4968 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2212 loss: 1.2212 2022/06/30 14:26:54 - mmengine - INFO - Epoch(train) [79][2600/3757] lr: 1.000e-03 eta: 6:06:01 time: 0.273 data_time: 0.020 memory: 6404 grad_norm: 9.2227 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3904 loss: 1.3904 2022/06/30 14:26:59 - mmengine - INFO - Epoch(train) [79][2620/3757] lr: 1.000e-03 eta: 6:05:56 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 9.4603 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0737 loss: 1.0737 2022/06/30 14:27:04 - mmengine - INFO - Epoch(train) [79][2640/3757] lr: 1.000e-03 eta: 6:05:50 time: 0.238 data_time: 0.008 memory: 6404 grad_norm: 7.8825 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9487 loss: 0.9487 2022/06/30 14:27:10 - mmengine - INFO - Epoch(train) [79][2660/3757] lr: 1.000e-03 eta: 6:05:45 time: 0.243 data_time: 0.022 memory: 6404 grad_norm: 11.1786 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2459 loss: 1.2459 2022/06/30 14:27:16 - mmengine - INFO - Epoch(train) [79][2680/3757] lr: 1.000e-03 eta: 6:05:39 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 8.8153 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4034 loss: 1.4034 2022/06/30 14:27:22 - mmengine - INFO - Epoch(train) [79][2700/3757] lr: 1.000e-03 eta: 6:05:34 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 10.0145 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9067 loss: 0.9067 2022/06/30 14:27:28 - mmengine - INFO - Epoch(train) [79][2720/3757] lr: 1.000e-03 eta: 6:05:29 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 7.5717 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0873 loss: 1.0873 2022/06/30 14:27:34 - mmengine - INFO - Epoch(train) [79][2740/3757] lr: 1.000e-03 eta: 6:05:23 time: 0.380 data_time: 0.188 memory: 6404 grad_norm: 8.0832 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2002 loss: 1.2002 2022/06/30 14:27:39 - mmengine - INFO - Epoch(train) [79][2760/3757] lr: 1.000e-03 eta: 6:05:18 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 9.9992 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1500 loss: 1.1500 2022/06/30 14:27:45 - mmengine - INFO - Epoch(train) [79][2780/3757] lr: 1.000e-03 eta: 6:05:12 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.1999 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0539 loss: 1.0539 2022/06/30 14:27:51 - mmengine - INFO - Epoch(train) [79][2800/3757] lr: 1.000e-03 eta: 6:05:07 time: 0.267 data_time: 0.033 memory: 6404 grad_norm: 8.0940 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9579 loss: 0.9579 2022/06/30 14:27:56 - mmengine - INFO - Epoch(train) [79][2820/3757] lr: 1.000e-03 eta: 6:05:01 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 9.2827 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0982 loss: 1.0982 2022/06/30 14:28:02 - mmengine - INFO - Epoch(train) [79][2840/3757] lr: 1.000e-03 eta: 6:04:56 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 8.4191 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8844 loss: 0.8844 2022/06/30 14:28:07 - mmengine - INFO - Epoch(train) [79][2860/3757] lr: 1.000e-03 eta: 6:04:50 time: 0.480 data_time: 0.288 memory: 6404 grad_norm: 10.2729 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9204 loss: 0.9204 2022/06/30 14:28:13 - mmengine - INFO - Epoch(train) [79][2880/3757] lr: 1.000e-03 eta: 6:04:45 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 9.5083 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3539 loss: 1.3539 2022/06/30 14:28:18 - mmengine - INFO - Epoch(train) [79][2900/3757] lr: 1.000e-03 eta: 6:04:39 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.0303 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0713 loss: 1.0713 2022/06/30 14:28:24 - mmengine - INFO - Epoch(train) [79][2920/3757] lr: 1.000e-03 eta: 6:04:34 time: 0.247 data_time: 0.052 memory: 6404 grad_norm: 9.9376 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0322 loss: 1.0322 2022/06/30 14:28:29 - mmengine - INFO - Epoch(train) [79][2940/3757] lr: 1.000e-03 eta: 6:04:28 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 7.7584 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2180 loss: 1.2180 2022/06/30 14:28:35 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 14:28:37 - mmengine - INFO - Epoch(train) [79][2960/3757] lr: 1.000e-03 eta: 6:04:23 time: 0.303 data_time: 0.007 memory: 6404 grad_norm: 8.9521 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9365 loss: 0.9365 2022/06/30 14:28:42 - mmengine - INFO - Epoch(train) [79][2980/3757] lr: 1.000e-03 eta: 6:04:18 time: 0.267 data_time: 0.009 memory: 6404 grad_norm: 9.0291 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1402 loss: 1.1402 2022/06/30 14:28:50 - mmengine - INFO - Epoch(train) [79][3000/3757] lr: 1.000e-03 eta: 6:04:13 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 9.9572 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1662 loss: 1.1662 2022/06/30 14:28:55 - mmengine - INFO - Epoch(train) [79][3020/3757] lr: 1.000e-03 eta: 6:04:08 time: 0.272 data_time: 0.008 memory: 6404 grad_norm: 7.8456 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3189 loss: 1.3189 2022/06/30 14:29:01 - mmengine - INFO - Epoch(train) [79][3040/3757] lr: 1.000e-03 eta: 6:04:02 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 9.4975 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2308 loss: 1.2308 2022/06/30 14:29:08 - mmengine - INFO - Epoch(train) [79][3060/3757] lr: 1.000e-03 eta: 6:03:57 time: 0.281 data_time: 0.008 memory: 6404 grad_norm: 7.7791 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0591 loss: 1.0591 2022/06/30 14:29:13 - mmengine - INFO - Epoch(train) [79][3080/3757] lr: 1.000e-03 eta: 6:03:52 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 9.9549 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2148 loss: 1.2148 2022/06/30 14:29:19 - mmengine - INFO - Epoch(train) [79][3100/3757] lr: 1.000e-03 eta: 6:03:46 time: 0.259 data_time: 0.014 memory: 6404 grad_norm: 7.8571 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0208 loss: 1.0208 2022/06/30 14:29:24 - mmengine - INFO - Epoch(train) [79][3120/3757] lr: 1.000e-03 eta: 6:03:40 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 9.6234 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9858 loss: 0.9858 2022/06/30 14:29:31 - mmengine - INFO - Epoch(train) [79][3140/3757] lr: 1.000e-03 eta: 6:03:35 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 9.8292 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9545 loss: 0.9545 2022/06/30 14:29:36 - mmengine - INFO - Epoch(train) [79][3160/3757] lr: 1.000e-03 eta: 6:03:30 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 7.2404 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2680 loss: 1.2680 2022/06/30 14:29:42 - mmengine - INFO - Epoch(train) [79][3180/3757] lr: 1.000e-03 eta: 6:03:24 time: 0.267 data_time: 0.016 memory: 6404 grad_norm: 8.8627 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2696 loss: 1.2696 2022/06/30 14:29:47 - mmengine - INFO - Epoch(train) [79][3200/3757] lr: 1.000e-03 eta: 6:03:19 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 8.5200 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0165 loss: 1.0165 2022/06/30 14:29:52 - mmengine - INFO - Epoch(train) [79][3220/3757] lr: 1.000e-03 eta: 6:03:13 time: 0.252 data_time: 0.018 memory: 6404 grad_norm: 8.8712 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.1342 loss: 1.1342 2022/06/30 14:29:59 - mmengine - INFO - Epoch(train) [79][3240/3757] lr: 1.000e-03 eta: 6:03:08 time: 0.265 data_time: 0.014 memory: 6404 grad_norm: 7.6066 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3514 loss: 1.3514 2022/06/30 14:30:05 - mmengine - INFO - Epoch(train) [79][3260/3757] lr: 1.000e-03 eta: 6:03:03 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 9.3265 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0471 loss: 1.0471 2022/06/30 14:30:11 - mmengine - INFO - Epoch(train) [79][3280/3757] lr: 1.000e-03 eta: 6:02:57 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 9.4711 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3576 loss: 1.3576 2022/06/30 14:30:17 - mmengine - INFO - Epoch(train) [79][3300/3757] lr: 1.000e-03 eta: 6:02:52 time: 0.256 data_time: 0.018 memory: 6404 grad_norm: 8.1235 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4942 loss: 1.4942 2022/06/30 14:30:22 - mmengine - INFO - Epoch(train) [79][3320/3757] lr: 1.000e-03 eta: 6:02:46 time: 0.250 data_time: 0.055 memory: 6404 grad_norm: 8.3960 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3658 loss: 1.3658 2022/06/30 14:30:27 - mmengine - INFO - Epoch(train) [79][3340/3757] lr: 1.000e-03 eta: 6:02:41 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 7.4982 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2991 loss: 1.2991 2022/06/30 14:30:32 - mmengine - INFO - Epoch(train) [79][3360/3757] lr: 1.000e-03 eta: 6:02:35 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 9.2695 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1673 loss: 1.1673 2022/06/30 14:30:38 - mmengine - INFO - Epoch(train) [79][3380/3757] lr: 1.000e-03 eta: 6:02:30 time: 0.260 data_time: 0.025 memory: 6404 grad_norm: 9.0468 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2865 loss: 1.2865 2022/06/30 14:30:43 - mmengine - INFO - Epoch(train) [79][3400/3757] lr: 1.000e-03 eta: 6:02:24 time: 0.262 data_time: 0.016 memory: 6404 grad_norm: 8.0123 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9547 loss: 0.9547 2022/06/30 14:30:49 - mmengine - INFO - Epoch(train) [79][3420/3757] lr: 1.000e-03 eta: 6:02:19 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 8.8951 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9402 loss: 0.9402 2022/06/30 14:30:55 - mmengine - INFO - Epoch(train) [79][3440/3757] lr: 1.000e-03 eta: 6:02:13 time: 0.274 data_time: 0.084 memory: 6404 grad_norm: 8.9323 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0933 loss: 1.0933 2022/06/30 14:31:00 - mmengine - INFO - Epoch(train) [79][3460/3757] lr: 1.000e-03 eta: 6:02:08 time: 0.247 data_time: 0.013 memory: 6404 grad_norm: 7.9456 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9436 loss: 0.9436 2022/06/30 14:31:06 - mmengine - INFO - Epoch(train) [79][3480/3757] lr: 1.000e-03 eta: 6:02:02 time: 0.260 data_time: 0.015 memory: 6404 grad_norm: 9.4206 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0825 loss: 1.0825 2022/06/30 14:31:11 - mmengine - INFO - Epoch(train) [79][3500/3757] lr: 1.000e-03 eta: 6:01:57 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 8.8913 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9857 loss: 0.9857 2022/06/30 14:31:17 - mmengine - INFO - Epoch(train) [79][3520/3757] lr: 1.000e-03 eta: 6:01:51 time: 0.240 data_time: 0.007 memory: 6404 grad_norm: 7.9696 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2735 loss: 1.2735 2022/06/30 14:31:23 - mmengine - INFO - Epoch(train) [79][3540/3757] lr: 1.000e-03 eta: 6:01:46 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 9.2716 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9090 loss: 0.9090 2022/06/30 14:31:29 - mmengine - INFO - Epoch(train) [79][3560/3757] lr: 1.000e-03 eta: 6:01:41 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 9.6689 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1031 loss: 1.1031 2022/06/30 14:31:35 - mmengine - INFO - Epoch(train) [79][3580/3757] lr: 1.000e-03 eta: 6:01:35 time: 0.364 data_time: 0.007 memory: 6404 grad_norm: 8.9894 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0629 loss: 1.0629 2022/06/30 14:31:40 - mmengine - INFO - Epoch(train) [79][3600/3757] lr: 1.000e-03 eta: 6:01:30 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 7.8610 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2876 loss: 1.2876 2022/06/30 14:31:46 - mmengine - INFO - Epoch(train) [79][3620/3757] lr: 1.000e-03 eta: 6:01:24 time: 0.281 data_time: 0.009 memory: 6404 grad_norm: 9.1907 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1146 loss: 1.1146 2022/06/30 14:31:51 - mmengine - INFO - Epoch(train) [79][3640/3757] lr: 1.000e-03 eta: 6:01:19 time: 0.325 data_time: 0.008 memory: 6404 grad_norm: 8.8821 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0604 loss: 1.0604 2022/06/30 14:31:57 - mmengine - INFO - Epoch(train) [79][3660/3757] lr: 1.000e-03 eta: 6:01:14 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 7.9968 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2300 loss: 1.2300 2022/06/30 14:32:03 - mmengine - INFO - Epoch(train) [79][3680/3757] lr: 1.000e-03 eta: 6:01:08 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 7.8021 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3422 loss: 1.3422 2022/06/30 14:32:08 - mmengine - INFO - Epoch(train) [79][3700/3757] lr: 1.000e-03 eta: 6:01:02 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 8.7569 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3734 loss: 1.3734 2022/06/30 14:32:13 - mmengine - INFO - Epoch(train) [79][3720/3757] lr: 1.000e-03 eta: 6:00:57 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 9.0006 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1087 loss: 1.1087 2022/06/30 14:32:19 - mmengine - INFO - Epoch(train) [79][3740/3757] lr: 1.000e-03 eta: 6:00:51 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 10.0882 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0547 loss: 1.0547 2022/06/30 14:32:23 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 14:32:30 - mmengine - INFO - Epoch(val) [79][20/310] eta: 0:01:13 time: 0.094 data_time: 0.011 memory: 6404 2022/06/30 14:32:39 - mmengine - INFO - Epoch(val) [79][40/310] eta: 0:02:28 time: 3.066 data_time: 2.981 memory: 1479 2022/06/30 14:32:42 - mmengine - INFO - Epoch(val) [79][60/310] eta: 0:01:04 time: 0.083 data_time: 0.007 memory: 1479 2022/06/30 14:32:48 - mmengine - INFO - Epoch(val) [79][80/310] eta: 0:01:14 time: 0.080 data_time: 0.005 memory: 1479 2022/06/30 14:32:56 - mmengine - INFO - Epoch(val) [79][100/310] eta: 0:00:52 time: 1.693 data_time: 1.620 memory: 1479 2022/06/30 14:33:00 - mmengine - INFO - Epoch(val) [79][120/310] eta: 0:00:57 time: 0.081 data_time: 0.006 memory: 1479 2022/06/30 14:33:07 - mmengine - INFO - Epoch(val) [79][140/310] eta: 0:01:19 time: 0.081 data_time: 0.007 memory: 1479 2022/06/30 14:33:14 - mmengine - INFO - Epoch(val) [79][160/310] eta: 0:00:59 time: 2.622 data_time: 2.533 memory: 1479 2022/06/30 14:33:19 - mmengine - INFO - Epoch(val) [79][180/310] eta: 0:00:53 time: 0.084 data_time: 0.005 memory: 1479 2022/06/30 14:33:25 - mmengine - INFO - Epoch(val) [79][200/310] eta: 0:00:36 time: 0.082 data_time: 0.005 memory: 1479 2022/06/30 14:33:29 - mmengine - INFO - Epoch(val) [79][220/310] eta: 0:00:07 time: 0.089 data_time: 0.010 memory: 1479 2022/06/30 14:33:34 - mmengine - INFO - Epoch(val) [79][240/310] eta: 0:00:24 time: 0.082 data_time: 0.006 memory: 1479 2022/06/30 14:33:40 - mmengine - INFO - Epoch(val) [79][260/310] eta: 0:00:13 time: 0.084 data_time: 0.005 memory: 1479 2022/06/30 14:33:44 - mmengine - INFO - Epoch(val) [79][280/310] eta: 0:00:02 time: 0.091 data_time: 0.016 memory: 1479 2022/06/30 14:33:49 - mmengine - INFO - Epoch(val) [79][300/310] eta: 0:00:02 time: 0.077 data_time: 0.005 memory: 1479 2022/06/30 14:33:51 - mmengine - INFO - Epoch(val) [79][310/310] acc/top1: 0.6624 acc/top5: 0.8667 acc/mean1: 0.6623 2022/06/30 14:34:00 - mmengine - INFO - Epoch(train) [80][20/3757] lr: 1.000e-03 eta: 6:00:42 time: 0.259 data_time: 0.006 memory: 6404 grad_norm: 9.5911 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9855 loss: 0.9855 2022/06/30 14:34:06 - mmengine - INFO - Epoch(train) [80][40/3757] lr: 1.000e-03 eta: 6:00:36 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 8.0587 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8121 loss: 0.8121 2022/06/30 14:34:12 - mmengine - INFO - Epoch(train) [80][60/3757] lr: 1.000e-03 eta: 6:00:31 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 7.6875 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8306 loss: 0.8306 2022/06/30 14:34:17 - mmengine - INFO - Epoch(train) [80][80/3757] lr: 1.000e-03 eta: 6:00:25 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 7.4154 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1457 loss: 1.1457 2022/06/30 14:34:23 - mmengine - INFO - Epoch(train) [80][100/3757] lr: 1.000e-03 eta: 6:00:20 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 9.2978 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1317 loss: 1.1317 2022/06/30 14:34:28 - mmengine - INFO - Epoch(train) [80][120/3757] lr: 1.000e-03 eta: 6:00:14 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 9.9002 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0767 loss: 1.0767 2022/06/30 14:34:34 - mmengine - INFO - Epoch(train) [80][140/3757] lr: 1.000e-03 eta: 6:00:09 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 6.5319 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0301 loss: 1.0301 2022/06/30 14:34:40 - mmengine - INFO - Epoch(train) [80][160/3757] lr: 1.000e-03 eta: 6:00:03 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 6.9497 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8462 loss: 0.8462 2022/06/30 14:34:45 - mmengine - INFO - Epoch(train) [80][180/3757] lr: 1.000e-03 eta: 5:59:58 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 9.5978 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2993 loss: 1.2993 2022/06/30 14:34:51 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 14:34:51 - mmengine - INFO - Epoch(train) [80][200/3757] lr: 1.000e-03 eta: 5:59:53 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 9.8084 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4692 loss: 1.4692 2022/06/30 14:34:57 - mmengine - INFO - Epoch(train) [80][220/3757] lr: 1.000e-03 eta: 5:59:47 time: 0.262 data_time: 0.017 memory: 6404 grad_norm: 9.0691 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2581 loss: 1.2581 2022/06/30 14:35:02 - mmengine - INFO - Epoch(train) [80][240/3757] lr: 1.000e-03 eta: 5:59:41 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 8.9253 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8179 loss: 0.8179 2022/06/30 14:35:07 - mmengine - INFO - Epoch(train) [80][260/3757] lr: 1.000e-03 eta: 5:59:36 time: 0.277 data_time: 0.018 memory: 6404 grad_norm: 9.0103 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2774 loss: 1.2774 2022/06/30 14:35:12 - mmengine - INFO - Epoch(train) [80][280/3757] lr: 1.000e-03 eta: 5:59:30 time: 0.270 data_time: 0.008 memory: 6404 grad_norm: 8.0247 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4453 loss: 1.4453 2022/06/30 14:35:19 - mmengine - INFO - Epoch(train) [80][300/3757] lr: 1.000e-03 eta: 5:59:25 time: 0.241 data_time: 0.026 memory: 6404 grad_norm: 9.1348 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0267 loss: 1.0267 2022/06/30 14:35:25 - mmengine - INFO - Epoch(train) [80][320/3757] lr: 1.000e-03 eta: 5:59:20 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 8.7344 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1699 loss: 1.1699 2022/06/30 14:35:30 - mmengine - INFO - Epoch(train) [80][340/3757] lr: 1.000e-03 eta: 5:59:14 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 8.0562 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7027 loss: 1.7027 2022/06/30 14:35:35 - mmengine - INFO - Epoch(train) [80][360/3757] lr: 1.000e-03 eta: 5:59:09 time: 0.246 data_time: 0.016 memory: 6404 grad_norm: 7.9985 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5273 loss: 1.5273 2022/06/30 14:35:41 - mmengine - INFO - Epoch(train) [80][380/3757] lr: 1.000e-03 eta: 5:59:03 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.5736 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2368 loss: 1.2368 2022/06/30 14:35:46 - mmengine - INFO - Epoch(train) [80][400/3757] lr: 1.000e-03 eta: 5:58:58 time: 0.287 data_time: 0.009 memory: 6404 grad_norm: 8.6642 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8906 loss: 0.8906 2022/06/30 14:35:52 - mmengine - INFO - Epoch(train) [80][420/3757] lr: 1.000e-03 eta: 5:58:52 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 6.7109 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0431 loss: 1.0431 2022/06/30 14:35:57 - mmengine - INFO - Epoch(train) [80][440/3757] lr: 1.000e-03 eta: 5:58:47 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 7.9377 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1640 loss: 1.1640 2022/06/30 14:36:03 - mmengine - INFO - Epoch(train) [80][460/3757] lr: 1.000e-03 eta: 5:58:41 time: 0.268 data_time: 0.008 memory: 6404 grad_norm: 9.0601 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3993 loss: 1.3993 2022/06/30 14:36:09 - mmengine - INFO - Epoch(train) [80][480/3757] lr: 1.000e-03 eta: 5:58:36 time: 0.254 data_time: 0.027 memory: 6404 grad_norm: 8.3859 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9593 loss: 0.9593 2022/06/30 14:36:14 - mmengine - INFO - Epoch(train) [80][500/3757] lr: 1.000e-03 eta: 5:58:30 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 8.3543 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1313 loss: 1.1313 2022/06/30 14:36:20 - mmengine - INFO - Epoch(train) [80][520/3757] lr: 1.000e-03 eta: 5:58:25 time: 0.269 data_time: 0.006 memory: 6404 grad_norm: 10.8414 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9705 loss: 0.9705 2022/06/30 14:36:26 - mmengine - INFO - Epoch(train) [80][540/3757] lr: 1.000e-03 eta: 5:58:19 time: 0.263 data_time: 0.013 memory: 6404 grad_norm: 9.3234 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2152 loss: 1.2152 2022/06/30 14:36:31 - mmengine - INFO - Epoch(train) [80][560/3757] lr: 1.000e-03 eta: 5:58:14 time: 0.273 data_time: 0.007 memory: 6404 grad_norm: 7.5236 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1501 loss: 1.1501 2022/06/30 14:36:36 - mmengine - INFO - Epoch(train) [80][580/3757] lr: 1.000e-03 eta: 5:58:08 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 8.4483 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0244 loss: 1.0244 2022/06/30 14:36:41 - mmengine - INFO - Epoch(train) [80][600/3757] lr: 1.000e-03 eta: 5:58:03 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 7.6802 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9673 loss: 0.9673 2022/06/30 14:36:47 - mmengine - INFO - Epoch(train) [80][620/3757] lr: 1.000e-03 eta: 5:57:57 time: 0.255 data_time: 0.020 memory: 6404 grad_norm: 8.8125 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2944 loss: 1.2944 2022/06/30 14:36:52 - mmengine - INFO - Epoch(train) [80][640/3757] lr: 1.000e-03 eta: 5:57:52 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 7.5316 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1719 loss: 1.1719 2022/06/30 14:36:57 - mmengine - INFO - Epoch(train) [80][660/3757] lr: 1.000e-03 eta: 5:57:46 time: 0.374 data_time: 0.007 memory: 6404 grad_norm: 7.3850 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9852 loss: 0.9852 2022/06/30 14:37:03 - mmengine - INFO - Epoch(train) [80][680/3757] lr: 1.000e-03 eta: 5:57:41 time: 0.254 data_time: 0.021 memory: 6404 grad_norm: 8.3111 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9825 loss: 0.9825 2022/06/30 14:37:09 - mmengine - INFO - Epoch(train) [80][700/3757] lr: 1.000e-03 eta: 5:57:35 time: 0.256 data_time: 0.015 memory: 6404 grad_norm: 9.4464 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0025 loss: 1.0025 2022/06/30 14:37:15 - mmengine - INFO - Epoch(train) [80][720/3757] lr: 1.000e-03 eta: 5:57:30 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 9.0236 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0503 loss: 1.0503 2022/06/30 14:37:20 - mmengine - INFO - Epoch(train) [80][740/3757] lr: 1.000e-03 eta: 5:57:24 time: 0.247 data_time: 0.014 memory: 6404 grad_norm: 6.8445 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1403 loss: 1.1403 2022/06/30 14:37:25 - mmengine - INFO - Epoch(train) [80][760/3757] lr: 1.000e-03 eta: 5:57:19 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.2977 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2272 loss: 1.2272 2022/06/30 14:37:31 - mmengine - INFO - Epoch(train) [80][780/3757] lr: 1.000e-03 eta: 5:57:14 time: 0.255 data_time: 0.014 memory: 6404 grad_norm: 9.2765 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7882 loss: 0.7882 2022/06/30 14:37:37 - mmengine - INFO - Epoch(train) [80][800/3757] lr: 1.000e-03 eta: 5:57:08 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 7.5351 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3189 loss: 1.3189 2022/06/30 14:37:42 - mmengine - INFO - Epoch(train) [80][820/3757] lr: 1.000e-03 eta: 5:57:02 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 8.0094 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0202 loss: 1.0202 2022/06/30 14:37:48 - mmengine - INFO - Epoch(train) [80][840/3757] lr: 1.000e-03 eta: 5:56:57 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 7.5954 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2972 loss: 1.2972 2022/06/30 14:37:53 - mmengine - INFO - Epoch(train) [80][860/3757] lr: 1.000e-03 eta: 5:56:52 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 8.7572 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4736 loss: 1.4736 2022/06/30 14:37:58 - mmengine - INFO - Epoch(train) [80][880/3757] lr: 1.000e-03 eta: 5:56:46 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 9.3780 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9284 loss: 0.9284 2022/06/30 14:38:04 - mmengine - INFO - Epoch(train) [80][900/3757] lr: 1.000e-03 eta: 5:56:40 time: 0.288 data_time: 0.008 memory: 6404 grad_norm: 8.8419 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0143 loss: 1.0143 2022/06/30 14:38:09 - mmengine - INFO - Epoch(train) [80][920/3757] lr: 1.000e-03 eta: 5:56:35 time: 0.266 data_time: 0.010 memory: 6404 grad_norm: 10.5287 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1611 loss: 1.1611 2022/06/30 14:38:14 - mmengine - INFO - Epoch(train) [80][940/3757] lr: 1.000e-03 eta: 5:56:29 time: 0.247 data_time: 0.018 memory: 6404 grad_norm: 9.5779 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2741 loss: 1.2741 2022/06/30 14:38:19 - mmengine - INFO - Epoch(train) [80][960/3757] lr: 1.000e-03 eta: 5:56:24 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 9.4705 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0249 loss: 1.0249 2022/06/30 14:38:25 - mmengine - INFO - Epoch(train) [80][980/3757] lr: 1.000e-03 eta: 5:56:18 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.5587 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3619 loss: 1.3619 2022/06/30 14:38:31 - mmengine - INFO - Epoch(train) [80][1000/3757] lr: 1.000e-03 eta: 5:56:13 time: 0.279 data_time: 0.006 memory: 6404 grad_norm: 7.3490 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1738 loss: 1.1738 2022/06/30 14:38:36 - mmengine - INFO - Epoch(train) [80][1020/3757] lr: 1.000e-03 eta: 5:56:07 time: 0.249 data_time: 0.020 memory: 6404 grad_norm: 7.7810 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8663 loss: 0.8663 2022/06/30 14:38:42 - mmengine - INFO - Epoch(train) [80][1040/3757] lr: 1.000e-03 eta: 5:56:02 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.3904 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5322 loss: 1.5322 2022/06/30 14:38:48 - mmengine - INFO - Epoch(train) [80][1060/3757] lr: 1.000e-03 eta: 5:55:56 time: 0.275 data_time: 0.007 memory: 6404 grad_norm: 8.9247 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1415 loss: 1.1415 2022/06/30 14:38:53 - mmengine - INFO - Epoch(train) [80][1080/3757] lr: 1.000e-03 eta: 5:55:51 time: 0.244 data_time: 0.016 memory: 6404 grad_norm: 9.2901 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0453 loss: 1.0453 2022/06/30 14:38:58 - mmengine - INFO - Epoch(train) [80][1100/3757] lr: 1.000e-03 eta: 5:55:45 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 7.2442 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2369 loss: 1.2369 2022/06/30 14:39:03 - mmengine - INFO - Epoch(train) [80][1120/3757] lr: 1.000e-03 eta: 5:55:40 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.7536 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3443 loss: 1.3443 2022/06/30 14:39:09 - mmengine - INFO - Epoch(train) [80][1140/3757] lr: 1.000e-03 eta: 5:55:34 time: 0.250 data_time: 0.015 memory: 6404 grad_norm: 10.3317 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9541 loss: 0.9541 2022/06/30 14:39:15 - mmengine - INFO - Epoch(train) [80][1160/3757] lr: 1.000e-03 eta: 5:55:29 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 9.4229 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9880 loss: 0.9880 2022/06/30 14:39:20 - mmengine - INFO - Epoch(train) [80][1180/3757] lr: 1.000e-03 eta: 5:55:23 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 9.0655 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7841 loss: 0.7841 2022/06/30 14:39:24 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 14:39:25 - mmengine - INFO - Epoch(train) [80][1200/3757] lr: 1.000e-03 eta: 5:55:18 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 7.3326 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9120 loss: 0.9120 2022/06/30 14:39:32 - mmengine - INFO - Epoch(train) [80][1220/3757] lr: 1.000e-03 eta: 5:55:13 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 9.6191 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1941 loss: 1.1941 2022/06/30 14:39:37 - mmengine - INFO - Epoch(train) [80][1240/3757] lr: 1.000e-03 eta: 5:55:07 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 8.5051 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8923 loss: 0.8923 2022/06/30 14:39:42 - mmengine - INFO - Epoch(train) [80][1260/3757] lr: 1.000e-03 eta: 5:55:01 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 8.3675 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4167 loss: 1.4167 2022/06/30 14:39:48 - mmengine - INFO - Epoch(train) [80][1280/3757] lr: 1.000e-03 eta: 5:54:56 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.2013 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2690 loss: 1.2690 2022/06/30 14:39:53 - mmengine - INFO - Epoch(train) [80][1300/3757] lr: 1.000e-03 eta: 5:54:50 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 10.6907 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9988 loss: 0.9988 2022/06/30 14:39:58 - mmengine - INFO - Epoch(train) [80][1320/3757] lr: 1.000e-03 eta: 5:54:45 time: 0.266 data_time: 0.011 memory: 6404 grad_norm: 8.5785 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9908 loss: 0.9908 2022/06/30 14:40:03 - mmengine - INFO - Epoch(train) [80][1340/3757] lr: 1.000e-03 eta: 5:54:39 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 8.5812 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1750 loss: 1.1750 2022/06/30 14:40:09 - mmengine - INFO - Epoch(train) [80][1360/3757] lr: 1.000e-03 eta: 5:54:34 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 8.8470 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1201 loss: 1.1201 2022/06/30 14:40:15 - mmengine - INFO - Epoch(train) [80][1380/3757] lr: 1.000e-03 eta: 5:54:28 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 7.0885 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1179 loss: 1.1179 2022/06/30 14:40:21 - mmengine - INFO - Epoch(train) [80][1400/3757] lr: 1.000e-03 eta: 5:54:23 time: 0.920 data_time: 0.011 memory: 6404 grad_norm: 9.0163 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3770 loss: 1.3770 2022/06/30 14:40:27 - mmengine - INFO - Epoch(train) [80][1420/3757] lr: 1.000e-03 eta: 5:54:18 time: 0.268 data_time: 0.006 memory: 6404 grad_norm: 8.8084 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8694 loss: 0.8694 2022/06/30 14:40:32 - mmengine - INFO - Epoch(train) [80][1440/3757] lr: 1.000e-03 eta: 5:54:12 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 8.2290 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1652 loss: 1.1652 2022/06/30 14:40:38 - mmengine - INFO - Epoch(train) [80][1460/3757] lr: 1.000e-03 eta: 5:54:07 time: 0.272 data_time: 0.009 memory: 6404 grad_norm: 8.1050 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9576 loss: 0.9576 2022/06/30 14:40:43 - mmengine - INFO - Epoch(train) [80][1480/3757] lr: 1.000e-03 eta: 5:54:01 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 7.2490 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1776 loss: 1.1776 2022/06/30 14:40:48 - mmengine - INFO - Epoch(train) [80][1500/3757] lr: 1.000e-03 eta: 5:53:56 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 8.7368 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8555 loss: 0.8555 2022/06/30 14:40:54 - mmengine - INFO - Epoch(train) [80][1520/3757] lr: 1.000e-03 eta: 5:53:50 time: 0.252 data_time: 0.016 memory: 6404 grad_norm: 10.9042 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1644 loss: 1.1644 2022/06/30 14:40:59 - mmengine - INFO - Epoch(train) [80][1540/3757] lr: 1.000e-03 eta: 5:53:45 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 11.0300 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9573 loss: 0.9573 2022/06/30 14:41:04 - mmengine - INFO - Epoch(train) [80][1560/3757] lr: 1.000e-03 eta: 5:53:39 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.9565 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2522 loss: 1.2522 2022/06/30 14:41:10 - mmengine - INFO - Epoch(train) [80][1580/3757] lr: 1.000e-03 eta: 5:53:34 time: 0.251 data_time: 0.020 memory: 6404 grad_norm: 8.9118 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5021 loss: 1.5021 2022/06/30 14:41:15 - mmengine - INFO - Epoch(train) [80][1600/3757] lr: 1.000e-03 eta: 5:53:28 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 8.7470 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1089 loss: 1.1089 2022/06/30 14:41:21 - mmengine - INFO - Epoch(train) [80][1620/3757] lr: 1.000e-03 eta: 5:53:23 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 9.2192 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.4588 loss: 1.4588 2022/06/30 14:41:28 - mmengine - INFO - Epoch(train) [80][1640/3757] lr: 1.000e-03 eta: 5:53:17 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 8.5817 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8984 loss: 0.8984 2022/06/30 14:41:33 - mmengine - INFO - Epoch(train) [80][1660/3757] lr: 1.000e-03 eta: 5:53:12 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 9.1802 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8863 loss: 0.8863 2022/06/30 14:41:38 - mmengine - INFO - Epoch(train) [80][1680/3757] lr: 1.000e-03 eta: 5:53:06 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 9.5171 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9586 loss: 0.9586 2022/06/30 14:41:43 - mmengine - INFO - Epoch(train) [80][1700/3757] lr: 1.000e-03 eta: 5:53:01 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 7.5264 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3117 loss: 1.3117 2022/06/30 14:41:49 - mmengine - INFO - Epoch(train) [80][1720/3757] lr: 1.000e-03 eta: 5:52:55 time: 0.246 data_time: 0.013 memory: 6404 grad_norm: 9.5464 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5833 loss: 1.5833 2022/06/30 14:41:54 - mmengine - INFO - Epoch(train) [80][1740/3757] lr: 1.000e-03 eta: 5:52:50 time: 0.247 data_time: 0.024 memory: 6404 grad_norm: 8.4818 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0082 loss: 1.0082 2022/06/30 14:41:59 - mmengine - INFO - Epoch(train) [80][1760/3757] lr: 1.000e-03 eta: 5:52:44 time: 0.264 data_time: 0.011 memory: 6404 grad_norm: 8.1935 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8401 loss: 0.8401 2022/06/30 14:42:04 - mmengine - INFO - Epoch(train) [80][1780/3757] lr: 1.000e-03 eta: 5:52:39 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 8.6203 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8246 loss: 0.8246 2022/06/30 14:42:10 - mmengine - INFO - Epoch(train) [80][1800/3757] lr: 1.000e-03 eta: 5:52:33 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.1449 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4686 loss: 1.4686 2022/06/30 14:42:16 - mmengine - INFO - Epoch(train) [80][1820/3757] lr: 1.000e-03 eta: 5:52:28 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 9.9546 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8683 loss: 0.8683 2022/06/30 14:42:21 - mmengine - INFO - Epoch(train) [80][1840/3757] lr: 1.000e-03 eta: 5:52:22 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.9229 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4150 loss: 1.4150 2022/06/30 14:42:27 - mmengine - INFO - Epoch(train) [80][1860/3757] lr: 1.000e-03 eta: 5:52:17 time: 0.256 data_time: 0.015 memory: 6404 grad_norm: 9.3961 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1537 loss: 1.1537 2022/06/30 14:42:32 - mmengine - INFO - Epoch(train) [80][1880/3757] lr: 1.000e-03 eta: 5:52:11 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 10.9817 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0061 loss: 1.0061 2022/06/30 14:42:38 - mmengine - INFO - Epoch(train) [80][1900/3757] lr: 1.000e-03 eta: 5:52:06 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 8.9787 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2826 loss: 1.2826 2022/06/30 14:42:43 - mmengine - INFO - Epoch(train) [80][1920/3757] lr: 1.000e-03 eta: 5:52:00 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 8.1433 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7838 loss: 0.7838 2022/06/30 14:42:49 - mmengine - INFO - Epoch(train) [80][1940/3757] lr: 1.000e-03 eta: 5:51:55 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 7.2342 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0622 loss: 1.0622 2022/06/30 14:42:55 - mmengine - INFO - Epoch(train) [80][1960/3757] lr: 1.000e-03 eta: 5:51:49 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 7.4653 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0829 loss: 1.0829 2022/06/30 14:43:00 - mmengine - INFO - Epoch(train) [80][1980/3757] lr: 1.000e-03 eta: 5:51:44 time: 0.250 data_time: 0.014 memory: 6404 grad_norm: 9.8221 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1700 loss: 1.1700 2022/06/30 14:43:05 - mmengine - INFO - Epoch(train) [80][2000/3757] lr: 1.000e-03 eta: 5:51:38 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 7.9682 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1275 loss: 1.1275 2022/06/30 14:43:11 - mmengine - INFO - Epoch(train) [80][2020/3757] lr: 1.000e-03 eta: 5:51:33 time: 0.258 data_time: 0.020 memory: 6404 grad_norm: 11.6260 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.3327 loss: 1.3327 2022/06/30 14:43:16 - mmengine - INFO - Epoch(train) [80][2040/3757] lr: 1.000e-03 eta: 5:51:27 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 9.7245 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1467 loss: 1.1467 2022/06/30 14:43:22 - mmengine - INFO - Epoch(train) [80][2060/3757] lr: 1.000e-03 eta: 5:51:22 time: 0.258 data_time: 0.015 memory: 6404 grad_norm: 10.4569 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2076 loss: 1.2076 2022/06/30 14:43:27 - mmengine - INFO - Epoch(train) [80][2080/3757] lr: 1.000e-03 eta: 5:51:16 time: 0.351 data_time: 0.012 memory: 6404 grad_norm: 8.6004 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9406 loss: 0.9406 2022/06/30 14:43:32 - mmengine - INFO - Epoch(train) [80][2100/3757] lr: 1.000e-03 eta: 5:51:11 time: 0.264 data_time: 0.011 memory: 6404 grad_norm: 7.3630 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2024 loss: 1.2024 2022/06/30 14:43:37 - mmengine - INFO - Epoch(train) [80][2120/3757] lr: 1.000e-03 eta: 5:51:05 time: 0.256 data_time: 0.016 memory: 6404 grad_norm: 9.4668 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2939 loss: 1.2939 2022/06/30 14:43:42 - mmengine - INFO - Epoch(train) [80][2140/3757] lr: 1.000e-03 eta: 5:50:59 time: 0.287 data_time: 0.016 memory: 6404 grad_norm: 7.0532 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0119 loss: 1.0119 2022/06/30 14:43:49 - mmengine - INFO - Epoch(train) [80][2160/3757] lr: 1.000e-03 eta: 5:50:54 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 8.7071 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9735 loss: 0.9735 2022/06/30 14:43:54 - mmengine - INFO - Epoch(train) [80][2180/3757] lr: 1.000e-03 eta: 5:50:49 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 6.1184 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8818 loss: 0.8818 2022/06/30 14:43:58 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 14:43:59 - mmengine - INFO - Epoch(train) [80][2200/3757] lr: 1.000e-03 eta: 5:50:43 time: 0.259 data_time: 0.068 memory: 6404 grad_norm: 6.2657 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0305 loss: 1.0305 2022/06/30 14:44:04 - mmengine - INFO - Epoch(train) [80][2220/3757] lr: 1.000e-03 eta: 5:50:37 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 9.0981 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4590 loss: 1.4590 2022/06/30 14:44:10 - mmengine - INFO - Epoch(train) [80][2240/3757] lr: 1.000e-03 eta: 5:50:32 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 8.7935 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9800 loss: 0.9800 2022/06/30 14:44:16 - mmengine - INFO - Epoch(train) [80][2260/3757] lr: 1.000e-03 eta: 5:50:27 time: 0.471 data_time: 0.279 memory: 6404 grad_norm: 9.0432 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0396 loss: 1.0396 2022/06/30 14:44:21 - mmengine - INFO - Epoch(train) [80][2280/3757] lr: 1.000e-03 eta: 5:50:21 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 7.6805 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1870 loss: 1.1870 2022/06/30 14:44:27 - mmengine - INFO - Epoch(train) [80][2300/3757] lr: 1.000e-03 eta: 5:50:16 time: 0.394 data_time: 0.007 memory: 6404 grad_norm: 9.0590 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1101 loss: 1.1101 2022/06/30 14:44:32 - mmengine - INFO - Epoch(train) [80][2320/3757] lr: 1.000e-03 eta: 5:50:10 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 9.2732 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4573 loss: 1.4573 2022/06/30 14:44:37 - mmengine - INFO - Epoch(train) [80][2340/3757] lr: 1.000e-03 eta: 5:50:05 time: 0.262 data_time: 0.010 memory: 6404 grad_norm: 9.6577 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9225 loss: 0.9225 2022/06/30 14:44:43 - mmengine - INFO - Epoch(train) [80][2360/3757] lr: 1.000e-03 eta: 5:49:59 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 8.0324 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9182 loss: 0.9182 2022/06/30 14:44:49 - mmengine - INFO - Epoch(train) [80][2380/3757] lr: 1.000e-03 eta: 5:49:54 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 8.9531 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3171 loss: 1.3171 2022/06/30 14:44:54 - mmengine - INFO - Epoch(train) [80][2400/3757] lr: 1.000e-03 eta: 5:49:48 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 8.0739 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8603 loss: 0.8603 2022/06/30 14:44:59 - mmengine - INFO - Epoch(train) [80][2420/3757] lr: 1.000e-03 eta: 5:49:43 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 8.6296 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3143 loss: 1.3143 2022/06/30 14:45:04 - mmengine - INFO - Epoch(train) [80][2440/3757] lr: 1.000e-03 eta: 5:49:37 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.5310 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7385 loss: 0.7385 2022/06/30 14:45:10 - mmengine - INFO - Epoch(train) [80][2460/3757] lr: 1.000e-03 eta: 5:49:32 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 9.2910 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0337 loss: 1.0337 2022/06/30 14:45:15 - mmengine - INFO - Epoch(train) [80][2480/3757] lr: 1.000e-03 eta: 5:49:26 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 10.2238 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1293 loss: 1.1293 2022/06/30 14:45:21 - mmengine - INFO - Epoch(train) [80][2500/3757] lr: 1.000e-03 eta: 5:49:21 time: 0.251 data_time: 0.020 memory: 6404 grad_norm: 7.8154 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9172 loss: 0.9172 2022/06/30 14:45:27 - mmengine - INFO - Epoch(train) [80][2520/3757] lr: 1.000e-03 eta: 5:49:15 time: 0.965 data_time: 0.017 memory: 6404 grad_norm: 8.4620 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2647 loss: 1.2647 2022/06/30 14:45:33 - mmengine - INFO - Epoch(train) [80][2540/3757] lr: 1.000e-03 eta: 5:49:10 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 8.7667 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8201 loss: 0.8201 2022/06/30 14:45:38 - mmengine - INFO - Epoch(train) [80][2560/3757] lr: 1.000e-03 eta: 5:49:04 time: 0.248 data_time: 0.023 memory: 6404 grad_norm: 7.5089 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9748 loss: 0.9748 2022/06/30 14:45:43 - mmengine - INFO - Epoch(train) [80][2580/3757] lr: 1.000e-03 eta: 5:48:59 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 9.6309 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1746 loss: 1.1746 2022/06/30 14:45:49 - mmengine - INFO - Epoch(train) [80][2600/3757] lr: 1.000e-03 eta: 5:48:53 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.4108 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2387 loss: 1.2387 2022/06/30 14:45:55 - mmengine - INFO - Epoch(train) [80][2620/3757] lr: 1.000e-03 eta: 5:48:48 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.5759 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1636 loss: 1.1636 2022/06/30 14:46:00 - mmengine - INFO - Epoch(train) [80][2640/3757] lr: 1.000e-03 eta: 5:48:42 time: 0.262 data_time: 0.010 memory: 6404 grad_norm: 7.4357 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2813 loss: 1.2813 2022/06/30 14:46:05 - mmengine - INFO - Epoch(train) [80][2660/3757] lr: 1.000e-03 eta: 5:48:37 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 8.7568 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8922 loss: 0.8922 2022/06/30 14:46:12 - mmengine - INFO - Epoch(train) [80][2680/3757] lr: 1.000e-03 eta: 5:48:31 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.8173 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9821 loss: 0.9821 2022/06/30 14:46:17 - mmengine - INFO - Epoch(train) [80][2700/3757] lr: 1.000e-03 eta: 5:48:26 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.5844 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0177 loss: 1.0177 2022/06/30 14:46:22 - mmengine - INFO - Epoch(train) [80][2720/3757] lr: 1.000e-03 eta: 5:48:20 time: 0.262 data_time: 0.015 memory: 6404 grad_norm: 8.2397 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1022 loss: 1.1022 2022/06/30 14:46:27 - mmengine - INFO - Epoch(train) [80][2740/3757] lr: 1.000e-03 eta: 5:48:15 time: 0.326 data_time: 0.067 memory: 6404 grad_norm: 9.1721 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1791 loss: 1.1791 2022/06/30 14:46:33 - mmengine - INFO - Epoch(train) [80][2760/3757] lr: 1.000e-03 eta: 5:48:09 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 10.8669 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.2574 loss: 1.2574 2022/06/30 14:46:38 - mmengine - INFO - Epoch(train) [80][2780/3757] lr: 1.000e-03 eta: 5:48:04 time: 0.264 data_time: 0.010 memory: 6404 grad_norm: 10.6360 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3253 loss: 1.3253 2022/06/30 14:46:43 - mmengine - INFO - Epoch(train) [80][2800/3757] lr: 1.000e-03 eta: 5:47:58 time: 0.250 data_time: 0.014 memory: 6404 grad_norm: 8.3335 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9391 loss: 0.9391 2022/06/30 14:46:48 - mmengine - INFO - Epoch(train) [80][2820/3757] lr: 1.000e-03 eta: 5:47:53 time: 0.256 data_time: 0.015 memory: 6404 grad_norm: 9.1309 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2646 loss: 1.2646 2022/06/30 14:46:54 - mmengine - INFO - Epoch(train) [80][2840/3757] lr: 1.000e-03 eta: 5:47:47 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 9.9980 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3373 loss: 1.3373 2022/06/30 14:47:00 - mmengine - INFO - Epoch(train) [80][2860/3757] lr: 1.000e-03 eta: 5:47:42 time: 0.250 data_time: 0.025 memory: 6404 grad_norm: 7.7291 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3485 loss: 1.3485 2022/06/30 14:47:05 - mmengine - INFO - Epoch(train) [80][2880/3757] lr: 1.000e-03 eta: 5:47:36 time: 0.453 data_time: 0.007 memory: 6404 grad_norm: 7.8656 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1405 loss: 1.1405 2022/06/30 14:47:11 - mmengine - INFO - Epoch(train) [80][2900/3757] lr: 1.000e-03 eta: 5:47:31 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 8.9687 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0512 loss: 1.0512 2022/06/30 14:47:17 - mmengine - INFO - Epoch(train) [80][2920/3757] lr: 1.000e-03 eta: 5:47:25 time: 0.303 data_time: 0.008 memory: 6404 grad_norm: 7.6617 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9988 loss: 0.9988 2022/06/30 14:47:23 - mmengine - INFO - Epoch(train) [80][2940/3757] lr: 1.000e-03 eta: 5:47:20 time: 0.296 data_time: 0.014 memory: 6404 grad_norm: 9.1354 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1252 loss: 1.1252 2022/06/30 14:47:28 - mmengine - INFO - Epoch(train) [80][2960/3757] lr: 1.000e-03 eta: 5:47:14 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 9.6993 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0423 loss: 1.0423 2022/06/30 14:47:33 - mmengine - INFO - Epoch(train) [80][2980/3757] lr: 1.000e-03 eta: 5:47:09 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 10.1336 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1664 loss: 1.1664 2022/06/30 14:47:39 - mmengine - INFO - Epoch(train) [80][3000/3757] lr: 1.000e-03 eta: 5:47:04 time: 1.154 data_time: 0.013 memory: 6404 grad_norm: 7.8579 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3340 loss: 1.3340 2022/06/30 14:47:45 - mmengine - INFO - Epoch(train) [80][3020/3757] lr: 1.000e-03 eta: 5:46:58 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 8.9025 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4648 loss: 1.4648 2022/06/30 14:47:51 - mmengine - INFO - Epoch(train) [80][3040/3757] lr: 1.000e-03 eta: 5:46:53 time: 0.233 data_time: 0.010 memory: 6404 grad_norm: 8.0335 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1694 loss: 1.1694 2022/06/30 14:47:56 - mmengine - INFO - Epoch(train) [80][3060/3757] lr: 1.000e-03 eta: 5:46:47 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 8.8709 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9788 loss: 0.9788 2022/06/30 14:48:01 - mmengine - INFO - Epoch(train) [80][3080/3757] lr: 1.000e-03 eta: 5:46:41 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 8.0239 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1750 loss: 1.1750 2022/06/30 14:48:06 - mmengine - INFO - Epoch(train) [80][3100/3757] lr: 1.000e-03 eta: 5:46:36 time: 0.252 data_time: 0.015 memory: 6404 grad_norm: 10.6219 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9461 loss: 0.9461 2022/06/30 14:48:12 - mmengine - INFO - Epoch(train) [80][3120/3757] lr: 1.000e-03 eta: 5:46:30 time: 0.276 data_time: 0.008 memory: 6404 grad_norm: 7.4447 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0292 loss: 1.0292 2022/06/30 14:48:17 - mmengine - INFO - Epoch(train) [80][3140/3757] lr: 1.000e-03 eta: 5:46:25 time: 0.317 data_time: 0.008 memory: 6404 grad_norm: 9.5872 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0210 loss: 1.0210 2022/06/30 14:48:23 - mmengine - INFO - Epoch(train) [80][3160/3757] lr: 1.000e-03 eta: 5:46:20 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 9.5522 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0445 loss: 1.0445 2022/06/30 14:48:29 - mmengine - INFO - Epoch(train) [80][3180/3757] lr: 1.000e-03 eta: 5:46:14 time: 0.801 data_time: 0.008 memory: 6404 grad_norm: 10.3998 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1906 loss: 1.1906 2022/06/30 14:48:34 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 14:48:34 - mmengine - INFO - Epoch(train) [80][3200/3757] lr: 1.000e-03 eta: 5:46:09 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 8.3683 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3011 loss: 1.3011 2022/06/30 14:48:40 - mmengine - INFO - Epoch(train) [80][3220/3757] lr: 1.000e-03 eta: 5:46:03 time: 0.251 data_time: 0.016 memory: 6404 grad_norm: 9.9005 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3133 loss: 1.3133 2022/06/30 14:48:46 - mmengine - INFO - Epoch(train) [80][3240/3757] lr: 1.000e-03 eta: 5:45:58 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 8.1325 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9095 loss: 0.9095 2022/06/30 14:48:51 - mmengine - INFO - Epoch(train) [80][3260/3757] lr: 1.000e-03 eta: 5:45:52 time: 0.253 data_time: 0.018 memory: 6404 grad_norm: 9.8164 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0630 loss: 1.0630 2022/06/30 14:48:56 - mmengine - INFO - Epoch(train) [80][3280/3757] lr: 1.000e-03 eta: 5:45:47 time: 0.254 data_time: 0.018 memory: 6404 grad_norm: 10.5359 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1582 loss: 1.1582 2022/06/30 14:49:01 - mmengine - INFO - Epoch(train) [80][3300/3757] lr: 1.000e-03 eta: 5:45:41 time: 0.258 data_time: 0.013 memory: 6404 grad_norm: 7.9982 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8234 loss: 0.8234 2022/06/30 14:49:07 - mmengine - INFO - Epoch(train) [80][3320/3757] lr: 1.000e-03 eta: 5:45:35 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 10.7142 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8335 loss: 0.8335 2022/06/30 14:49:12 - mmengine - INFO - Epoch(train) [80][3340/3757] lr: 1.000e-03 eta: 5:45:30 time: 0.256 data_time: 0.047 memory: 6404 grad_norm: 9.8678 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9470 loss: 0.9470 2022/06/30 14:49:18 - mmengine - INFO - Epoch(train) [80][3360/3757] lr: 1.000e-03 eta: 5:45:25 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 8.1727 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9096 loss: 0.9096 2022/06/30 14:49:23 - mmengine - INFO - Epoch(train) [80][3380/3757] lr: 1.000e-03 eta: 5:45:19 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 9.3664 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3676 loss: 1.3676 2022/06/30 14:49:29 - mmengine - INFO - Epoch(train) [80][3400/3757] lr: 1.000e-03 eta: 5:45:14 time: 0.264 data_time: 0.010 memory: 6404 grad_norm: 8.8488 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8028 loss: 0.8028 2022/06/30 14:49:34 - mmengine - INFO - Epoch(train) [80][3420/3757] lr: 1.000e-03 eta: 5:45:08 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 10.0593 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2424 loss: 1.2424 2022/06/30 14:49:40 - mmengine - INFO - Epoch(train) [80][3440/3757] lr: 1.000e-03 eta: 5:45:03 time: 0.262 data_time: 0.010 memory: 6404 grad_norm: 7.1752 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9438 loss: 0.9438 2022/06/30 14:49:46 - mmengine - INFO - Epoch(train) [80][3460/3757] lr: 1.000e-03 eta: 5:44:57 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 9.4236 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0333 loss: 1.0333 2022/06/30 14:49:52 - mmengine - INFO - Epoch(train) [80][3480/3757] lr: 1.000e-03 eta: 5:44:52 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 9.0196 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9915 loss: 0.9915 2022/06/30 14:49:57 - mmengine - INFO - Epoch(train) [80][3500/3757] lr: 1.000e-03 eta: 5:44:46 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 10.9138 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7884 loss: 0.7884 2022/06/30 14:50:02 - mmengine - INFO - Epoch(train) [80][3520/3757] lr: 1.000e-03 eta: 5:44:41 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 10.0394 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1808 loss: 1.1808 2022/06/30 14:50:08 - mmengine - INFO - Epoch(train) [80][3540/3757] lr: 1.000e-03 eta: 5:44:35 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 9.3368 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2287 loss: 1.2287 2022/06/30 14:50:13 - mmengine - INFO - Epoch(train) [80][3560/3757] lr: 1.000e-03 eta: 5:44:30 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 9.7744 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0586 loss: 1.0586 2022/06/30 14:50:19 - mmengine - INFO - Epoch(train) [80][3580/3757] lr: 1.000e-03 eta: 5:44:24 time: 0.243 data_time: 0.024 memory: 6404 grad_norm: 10.1162 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0950 loss: 1.0950 2022/06/30 14:50:24 - mmengine - INFO - Epoch(train) [80][3600/3757] lr: 1.000e-03 eta: 5:44:19 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 9.7898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3159 loss: 1.3159 2022/06/30 14:50:31 - mmengine - INFO - Epoch(train) [80][3620/3757] lr: 1.000e-03 eta: 5:44:14 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 8.9994 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7179 loss: 0.7179 2022/06/30 14:50:36 - mmengine - INFO - Epoch(train) [80][3640/3757] lr: 1.000e-03 eta: 5:44:08 time: 0.249 data_time: 0.016 memory: 6404 grad_norm: 8.9569 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0276 loss: 1.0276 2022/06/30 14:50:41 - mmengine - INFO - Epoch(train) [80][3660/3757] lr: 1.000e-03 eta: 5:44:02 time: 0.311 data_time: 0.008 memory: 6404 grad_norm: 9.2746 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2418 loss: 1.2418 2022/06/30 14:50:47 - mmengine - INFO - Epoch(train) [80][3680/3757] lr: 1.000e-03 eta: 5:43:57 time: 0.258 data_time: 0.064 memory: 6404 grad_norm: 8.3705 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9637 loss: 0.9637 2022/06/30 14:50:53 - mmengine - INFO - Epoch(train) [80][3700/3757] lr: 1.000e-03 eta: 5:43:52 time: 0.258 data_time: 0.021 memory: 6404 grad_norm: 7.1737 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9870 loss: 0.9870 2022/06/30 14:50:58 - mmengine - INFO - Epoch(train) [80][3720/3757] lr: 1.000e-03 eta: 5:43:46 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 9.7459 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3997 loss: 1.3997 2022/06/30 14:51:03 - mmengine - INFO - Epoch(train) [80][3740/3757] lr: 1.000e-03 eta: 5:43:40 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.5148 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1437 loss: 1.1437 2022/06/30 14:51:07 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 14:51:07 - mmengine - INFO - Saving checkpoint at 80 epochs 2022/06/30 14:51:19 - mmengine - INFO - Epoch(val) [80][20/310] eta: 0:01:29 time: 0.088 data_time: 0.013 memory: 6404 2022/06/30 14:51:25 - mmengine - INFO - Epoch(val) [80][40/310] eta: 0:01:17 time: 0.077 data_time: 0.005 memory: 1479 2022/06/30 14:51:29 - mmengine - INFO - Epoch(val) [80][60/310] eta: 0:00:23 time: 0.081 data_time: 0.006 memory: 1479 2022/06/30 14:51:35 - mmengine - INFO - Epoch(val) [80][80/310] eta: 0:01:07 time: 0.078 data_time: 0.006 memory: 1479 2022/06/30 14:51:41 - mmengine - INFO - Epoch(val) [80][100/310] eta: 0:01:06 time: 0.082 data_time: 0.005 memory: 1479 2022/06/30 14:51:44 - mmengine - INFO - Epoch(val) [80][120/310] eta: 0:00:15 time: 0.082 data_time: 0.007 memory: 1479 2022/06/30 14:51:50 - mmengine - INFO - Epoch(val) [80][140/310] eta: 0:00:48 time: 0.078 data_time: 0.005 memory: 1479 2022/06/30 14:51:57 - mmengine - INFO - Epoch(val) [80][160/310] eta: 0:00:57 time: 0.086 data_time: 0.005 memory: 1479 2022/06/30 14:52:01 - mmengine - INFO - Epoch(val) [80][180/310] eta: 0:00:12 time: 0.080 data_time: 0.006 memory: 1479 2022/06/30 14:52:07 - mmengine - INFO - Epoch(val) [80][200/310] eta: 0:00:33 time: 0.079 data_time: 0.007 memory: 1479 2022/06/30 14:52:13 - mmengine - INFO - Epoch(val) [80][220/310] eta: 0:00:27 time: 0.081 data_time: 0.005 memory: 1479 2022/06/30 14:52:17 - mmengine - INFO - Epoch(val) [80][240/310] eta: 0:00:13 time: 0.081 data_time: 0.006 memory: 1479 2022/06/30 14:52:24 - mmengine - INFO - Epoch(val) [80][260/310] eta: 0:00:15 time: 0.076 data_time: 0.005 memory: 1479 2022/06/30 14:52:28 - mmengine - INFO - Epoch(val) [80][280/310] eta: 0:00:05 time: 0.081 data_time: 0.005 memory: 1479 2022/06/30 14:52:30 - mmengine - INFO - Epoch(val) [80][300/310] eta: 0:00:01 time: 0.077 data_time: 0.005 memory: 1479 2022/06/30 14:52:34 - mmengine - INFO - Epoch(val) [80][310/310] acc/top1: 0.6637 acc/top5: 0.8652 acc/mean1: 0.6636 2022/06/30 14:52:43 - mmengine - INFO - Epoch(train) [81][20/3757] lr: 1.000e-04 eta: 5:43:31 time: 0.260 data_time: 0.006 memory: 6404 grad_norm: 10.6670 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0073 loss: 1.0073 2022/06/30 14:52:49 - mmengine - INFO - Epoch(train) [81][40/3757] lr: 1.000e-04 eta: 5:43:25 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 9.6099 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0983 loss: 1.0983 2022/06/30 14:52:54 - mmengine - INFO - Epoch(train) [81][60/3757] lr: 1.000e-04 eta: 5:43:20 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 7.3948 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8546 loss: 0.8546 2022/06/30 14:53:00 - mmengine - INFO - Epoch(train) [81][80/3757] lr: 1.000e-04 eta: 5:43:14 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.8456 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1400 loss: 1.1400 2022/06/30 14:53:05 - mmengine - INFO - Epoch(train) [81][100/3757] lr: 1.000e-04 eta: 5:43:09 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 7.6854 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6608 loss: 0.6608 2022/06/30 14:53:11 - mmengine - INFO - Epoch(train) [81][120/3757] lr: 1.000e-04 eta: 5:43:03 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 8.5493 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1415 loss: 1.1415 2022/06/30 14:53:18 - mmengine - INFO - Epoch(train) [81][140/3757] lr: 1.000e-04 eta: 5:42:58 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 7.7540 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3750 loss: 1.3750 2022/06/30 14:53:23 - mmengine - INFO - Epoch(train) [81][160/3757] lr: 1.000e-04 eta: 5:42:53 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 7.5062 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1682 loss: 1.1682 2022/06/30 14:53:28 - mmengine - INFO - Epoch(train) [81][180/3757] lr: 1.000e-04 eta: 5:42:47 time: 0.257 data_time: 0.015 memory: 6404 grad_norm: 7.3582 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9924 loss: 0.9924 2022/06/30 14:53:34 - mmengine - INFO - Epoch(train) [81][200/3757] lr: 1.000e-04 eta: 5:42:41 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 8.7007 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0063 loss: 1.0063 2022/06/30 14:53:39 - mmengine - INFO - Epoch(train) [81][220/3757] lr: 1.000e-04 eta: 5:42:36 time: 0.251 data_time: 0.017 memory: 6404 grad_norm: 7.0986 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7478 loss: 0.7478 2022/06/30 14:53:44 - mmengine - INFO - Epoch(train) [81][240/3757] lr: 1.000e-04 eta: 5:42:30 time: 0.263 data_time: 0.011 memory: 6404 grad_norm: 9.9754 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2594 loss: 1.2594 2022/06/30 14:53:50 - mmengine - INFO - Epoch(train) [81][260/3757] lr: 1.000e-04 eta: 5:42:25 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 7.6704 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9807 loss: 0.9807 2022/06/30 14:53:55 - mmengine - INFO - Epoch(train) [81][280/3757] lr: 1.000e-04 eta: 5:42:19 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 11.1383 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1943 loss: 1.1943 2022/06/30 14:54:01 - mmengine - INFO - Epoch(train) [81][300/3757] lr: 1.000e-04 eta: 5:42:14 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 8.9791 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9741 loss: 0.9741 2022/06/30 14:54:07 - mmengine - INFO - Epoch(train) [81][320/3757] lr: 1.000e-04 eta: 5:42:09 time: 0.259 data_time: 0.014 memory: 6404 grad_norm: 8.4047 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0261 loss: 1.0261 2022/06/30 14:54:12 - mmengine - INFO - Epoch(train) [81][340/3757] lr: 1.000e-04 eta: 5:42:03 time: 0.248 data_time: 0.015 memory: 6404 grad_norm: 7.1627 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8246 loss: 0.8246 2022/06/30 14:54:18 - mmengine - INFO - Epoch(train) [81][360/3757] lr: 1.000e-04 eta: 5:41:58 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 7.5370 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7544 loss: 0.7544 2022/06/30 14:54:23 - mmengine - INFO - Epoch(train) [81][380/3757] lr: 1.000e-04 eta: 5:41:52 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 11.1981 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9098 loss: 0.9098 2022/06/30 14:54:29 - mmengine - INFO - Epoch(train) [81][400/3757] lr: 1.000e-04 eta: 5:41:47 time: 0.264 data_time: 0.013 memory: 6404 grad_norm: 7.1078 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2328 loss: 1.2328 2022/06/30 14:54:34 - mmengine - INFO - Epoch(train) [81][420/3757] lr: 1.000e-04 eta: 5:41:41 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.3364 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9114 loss: 0.9114 2022/06/30 14:54:39 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 14:54:39 - mmengine - INFO - Epoch(train) [81][440/3757] lr: 1.000e-04 eta: 5:41:35 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 9.7064 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0606 loss: 1.0606 2022/06/30 14:54:45 - mmengine - INFO - Epoch(train) [81][460/3757] lr: 1.000e-04 eta: 5:41:30 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 9.7060 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9997 loss: 0.9997 2022/06/30 14:54:51 - mmengine - INFO - Epoch(train) [81][480/3757] lr: 1.000e-04 eta: 5:41:25 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 7.5014 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1103 loss: 1.1103 2022/06/30 14:54:56 - mmengine - INFO - Epoch(train) [81][500/3757] lr: 1.000e-04 eta: 5:41:19 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 9.6878 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7992 loss: 0.7992 2022/06/30 14:55:01 - mmengine - INFO - Epoch(train) [81][520/3757] lr: 1.000e-04 eta: 5:41:14 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 9.7891 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3617 loss: 1.3617 2022/06/30 14:55:07 - mmengine - INFO - Epoch(train) [81][540/3757] lr: 1.000e-04 eta: 5:41:08 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 9.7039 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8759 loss: 0.8759 2022/06/30 14:55:13 - mmengine - INFO - Epoch(train) [81][560/3757] lr: 1.000e-04 eta: 5:41:03 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 9.5364 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2346 loss: 1.2346 2022/06/30 14:55:19 - mmengine - INFO - Epoch(train) [81][580/3757] lr: 1.000e-04 eta: 5:40:57 time: 0.263 data_time: 0.012 memory: 6404 grad_norm: 10.5253 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2404 loss: 1.2404 2022/06/30 14:55:24 - mmengine - INFO - Epoch(train) [81][600/3757] lr: 1.000e-04 eta: 5:40:52 time: 0.275 data_time: 0.010 memory: 6404 grad_norm: 8.1919 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0610 loss: 1.0610 2022/06/30 14:55:30 - mmengine - INFO - Epoch(train) [81][620/3757] lr: 1.000e-04 eta: 5:40:46 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 6.1768 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0542 loss: 1.0542 2022/06/30 14:55:35 - mmengine - INFO - Epoch(train) [81][640/3757] lr: 1.000e-04 eta: 5:40:41 time: 0.251 data_time: 0.016 memory: 6404 grad_norm: 7.7007 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2372 loss: 1.2372 2022/06/30 14:55:41 - mmengine - INFO - Epoch(train) [81][660/3757] lr: 1.000e-04 eta: 5:40:35 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 8.1187 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8693 loss: 0.8693 2022/06/30 14:55:46 - mmengine - INFO - Epoch(train) [81][680/3757] lr: 1.000e-04 eta: 5:40:30 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 8.5462 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1369 loss: 1.1369 2022/06/30 14:55:51 - mmengine - INFO - Epoch(train) [81][700/3757] lr: 1.000e-04 eta: 5:40:24 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 8.7172 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1327 loss: 1.1327 2022/06/30 14:55:57 - mmengine - INFO - Epoch(train) [81][720/3757] lr: 1.000e-04 eta: 5:40:19 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 10.2207 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1366 loss: 1.1366 2022/06/30 14:56:03 - mmengine - INFO - Epoch(train) [81][740/3757] lr: 1.000e-04 eta: 5:40:13 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 8.3434 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6165 loss: 0.6165 2022/06/30 14:56:08 - mmengine - INFO - Epoch(train) [81][760/3757] lr: 1.000e-04 eta: 5:40:08 time: 0.323 data_time: 0.064 memory: 6404 grad_norm: 10.0409 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2277 loss: 1.2277 2022/06/30 14:56:14 - mmengine - INFO - Epoch(train) [81][780/3757] lr: 1.000e-04 eta: 5:40:02 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 8.7603 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0662 loss: 1.0662 2022/06/30 14:56:20 - mmengine - INFO - Epoch(train) [81][800/3757] lr: 1.000e-04 eta: 5:39:57 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 9.3033 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2049 loss: 1.2049 2022/06/30 14:56:25 - mmengine - INFO - Epoch(train) [81][820/3757] lr: 1.000e-04 eta: 5:39:52 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 8.5951 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0078 loss: 1.0078 2022/06/30 14:56:31 - mmengine - INFO - Epoch(train) [81][840/3757] lr: 1.000e-04 eta: 5:39:46 time: 0.262 data_time: 0.020 memory: 6404 grad_norm: 9.6510 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2317 loss: 1.2317 2022/06/30 14:56:36 - mmengine - INFO - Epoch(train) [81][860/3757] lr: 1.000e-04 eta: 5:39:41 time: 0.256 data_time: 0.019 memory: 6404 grad_norm: 8.8048 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0568 loss: 1.0568 2022/06/30 14:56:42 - mmengine - INFO - Epoch(train) [81][880/3757] lr: 1.000e-04 eta: 5:39:35 time: 0.258 data_time: 0.017 memory: 6404 grad_norm: 8.0106 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9492 loss: 0.9492 2022/06/30 14:56:48 - mmengine - INFO - Epoch(train) [81][900/3757] lr: 1.000e-04 eta: 5:39:30 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 8.5969 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0568 loss: 1.0568 2022/06/30 14:56:53 - mmengine - INFO - Epoch(train) [81][920/3757] lr: 1.000e-04 eta: 5:39:24 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 7.1738 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1912 loss: 1.1912 2022/06/30 14:56:59 - mmengine - INFO - Epoch(train) [81][940/3757] lr: 1.000e-04 eta: 5:39:19 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.1065 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1585 loss: 1.1585 2022/06/30 14:57:05 - mmengine - INFO - Epoch(train) [81][960/3757] lr: 1.000e-04 eta: 5:39:13 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 8.0155 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8759 loss: 0.8759 2022/06/30 14:57:10 - mmengine - INFO - Epoch(train) [81][980/3757] lr: 1.000e-04 eta: 5:39:08 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 10.9542 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4478 loss: 1.4478 2022/06/30 14:57:15 - mmengine - INFO - Epoch(train) [81][1000/3757] lr: 1.000e-04 eta: 5:39:02 time: 0.243 data_time: 0.015 memory: 6404 grad_norm: 9.0966 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2211 loss: 1.2211 2022/06/30 14:57:21 - mmengine - INFO - Epoch(train) [81][1020/3757] lr: 1.000e-04 eta: 5:38:57 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 9.8058 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7962 loss: 0.7962 2022/06/30 14:57:26 - mmengine - INFO - Epoch(train) [81][1040/3757] lr: 1.000e-04 eta: 5:38:51 time: 0.257 data_time: 0.016 memory: 6404 grad_norm: 7.5466 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2035 loss: 1.2035 2022/06/30 14:57:31 - mmengine - INFO - Epoch(train) [81][1060/3757] lr: 1.000e-04 eta: 5:38:46 time: 0.255 data_time: 0.012 memory: 6404 grad_norm: 7.4223 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2589 loss: 1.2589 2022/06/30 14:57:37 - mmengine - INFO - Epoch(train) [81][1080/3757] lr: 1.000e-04 eta: 5:38:40 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 7.1998 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8539 loss: 0.8539 2022/06/30 14:57:42 - mmengine - INFO - Epoch(train) [81][1100/3757] lr: 1.000e-04 eta: 5:38:35 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 11.2801 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1558 loss: 1.1558 2022/06/30 14:57:48 - mmengine - INFO - Epoch(train) [81][1120/3757] lr: 1.000e-04 eta: 5:38:29 time: 0.399 data_time: 0.009 memory: 6404 grad_norm: 7.6486 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0900 loss: 1.0900 2022/06/30 14:57:54 - mmengine - INFO - Epoch(train) [81][1140/3757] lr: 1.000e-04 eta: 5:38:24 time: 0.292 data_time: 0.015 memory: 6404 grad_norm: 7.6011 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4372 loss: 1.4372 2022/06/30 14:57:59 - mmengine - INFO - Epoch(train) [81][1160/3757] lr: 1.000e-04 eta: 5:38:18 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 8.6377 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2136 loss: 1.2136 2022/06/30 14:58:05 - mmengine - INFO - Epoch(train) [81][1180/3757] lr: 1.000e-04 eta: 5:38:13 time: 0.244 data_time: 0.012 memory: 6404 grad_norm: 8.3311 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0510 loss: 1.0510 2022/06/30 14:58:10 - mmengine - INFO - Epoch(train) [81][1200/3757] lr: 1.000e-04 eta: 5:38:07 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 8.3651 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5993 loss: 0.5993 2022/06/30 14:58:15 - mmengine - INFO - Epoch(train) [81][1220/3757] lr: 1.000e-04 eta: 5:38:02 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 8.8522 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0153 loss: 1.0153 2022/06/30 14:58:21 - mmengine - INFO - Epoch(train) [81][1240/3757] lr: 1.000e-04 eta: 5:37:56 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 9.5306 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0954 loss: 1.0954 2022/06/30 14:58:27 - mmengine - INFO - Epoch(train) [81][1260/3757] lr: 1.000e-04 eta: 5:37:51 time: 0.263 data_time: 0.006 memory: 6404 grad_norm: 8.6132 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9218 loss: 0.9218 2022/06/30 14:58:33 - mmengine - INFO - Epoch(train) [81][1280/3757] lr: 1.000e-04 eta: 5:37:45 time: 0.276 data_time: 0.013 memory: 6404 grad_norm: 9.6374 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8119 loss: 0.8119 2022/06/30 14:58:38 - mmengine - INFO - Epoch(train) [81][1300/3757] lr: 1.000e-04 eta: 5:37:40 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 7.1856 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1100 loss: 1.1100 2022/06/30 14:58:44 - mmengine - INFO - Epoch(train) [81][1320/3757] lr: 1.000e-04 eta: 5:37:35 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.7620 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8637 loss: 0.8637 2022/06/30 14:58:50 - mmengine - INFO - Epoch(train) [81][1340/3757] lr: 1.000e-04 eta: 5:37:29 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 10.0637 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6186 loss: 1.6186 2022/06/30 14:58:55 - mmengine - INFO - Epoch(train) [81][1360/3757] lr: 1.000e-04 eta: 5:37:24 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 7.9702 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9029 loss: 0.9029 2022/06/30 14:59:00 - mmengine - INFO - Epoch(train) [81][1380/3757] lr: 1.000e-04 eta: 5:37:18 time: 0.262 data_time: 0.023 memory: 6404 grad_norm: 9.0524 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9513 loss: 0.9513 2022/06/30 14:59:06 - mmengine - INFO - Epoch(train) [81][1400/3757] lr: 1.000e-04 eta: 5:37:13 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 9.1779 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3357 loss: 1.3357 2022/06/30 14:59:12 - mmengine - INFO - Epoch(train) [81][1420/3757] lr: 1.000e-04 eta: 5:37:07 time: 0.251 data_time: 0.022 memory: 6404 grad_norm: 9.7340 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1684 loss: 1.1684 2022/06/30 14:59:17 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 14:59:17 - mmengine - INFO - Epoch(train) [81][1440/3757] lr: 1.000e-04 eta: 5:37:02 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 9.5859 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3506 loss: 1.3506 2022/06/30 14:59:22 - mmengine - INFO - Epoch(train) [81][1460/3757] lr: 1.000e-04 eta: 5:36:56 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 9.6467 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9418 loss: 0.9418 2022/06/30 14:59:28 - mmengine - INFO - Epoch(train) [81][1480/3757] lr: 1.000e-04 eta: 5:36:51 time: 0.247 data_time: 0.052 memory: 6404 grad_norm: 8.6010 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9169 loss: 0.9169 2022/06/30 14:59:33 - mmengine - INFO - Epoch(train) [81][1500/3757] lr: 1.000e-04 eta: 5:36:45 time: 0.273 data_time: 0.015 memory: 6404 grad_norm: 8.5843 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9425 loss: 0.9425 2022/06/30 14:59:39 - mmengine - INFO - Epoch(train) [81][1520/3757] lr: 1.000e-04 eta: 5:36:40 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 9.5212 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8008 loss: 0.8008 2022/06/30 14:59:45 - mmengine - INFO - Epoch(train) [81][1540/3757] lr: 1.000e-04 eta: 5:36:34 time: 0.282 data_time: 0.020 memory: 6404 grad_norm: 8.9705 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2095 loss: 1.2095 2022/06/30 14:59:50 - mmengine - INFO - Epoch(train) [81][1560/3757] lr: 1.000e-04 eta: 5:36:29 time: 0.263 data_time: 0.018 memory: 6404 grad_norm: 6.4562 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9901 loss: 0.9901 2022/06/30 14:59:56 - mmengine - INFO - Epoch(train) [81][1580/3757] lr: 1.000e-04 eta: 5:36:23 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.7646 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8979 loss: 0.8979 2022/06/30 15:00:01 - mmengine - INFO - Epoch(train) [81][1600/3757] lr: 1.000e-04 eta: 5:36:18 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 9.7368 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9058 loss: 0.9058 2022/06/30 15:00:06 - mmengine - INFO - Epoch(train) [81][1620/3757] lr: 1.000e-04 eta: 5:36:12 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 8.7633 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7112 loss: 0.7112 2022/06/30 15:00:12 - mmengine - INFO - Epoch(train) [81][1640/3757] lr: 1.000e-04 eta: 5:36:07 time: 0.278 data_time: 0.010 memory: 6404 grad_norm: 8.0455 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0817 loss: 1.0817 2022/06/30 15:00:18 - mmengine - INFO - Epoch(train) [81][1660/3757] lr: 1.000e-04 eta: 5:36:01 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 9.0844 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2685 loss: 1.2685 2022/06/30 15:00:23 - mmengine - INFO - Epoch(train) [81][1680/3757] lr: 1.000e-04 eta: 5:35:56 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 9.4205 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9496 loss: 0.9496 2022/06/30 15:00:29 - mmengine - INFO - Epoch(train) [81][1700/3757] lr: 1.000e-04 eta: 5:35:51 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 7.7379 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0390 loss: 1.0390 2022/06/30 15:00:35 - mmengine - INFO - Epoch(train) [81][1720/3757] lr: 1.000e-04 eta: 5:35:45 time: 0.259 data_time: 0.027 memory: 6404 grad_norm: 9.1940 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0701 loss: 1.0701 2022/06/30 15:00:40 - mmengine - INFO - Epoch(train) [81][1740/3757] lr: 1.000e-04 eta: 5:35:39 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.5096 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1944 loss: 1.1944 2022/06/30 15:00:45 - mmengine - INFO - Epoch(train) [81][1760/3757] lr: 1.000e-04 eta: 5:35:34 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 9.4133 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7779 loss: 0.7779 2022/06/30 15:00:51 - mmengine - INFO - Epoch(train) [81][1780/3757] lr: 1.000e-04 eta: 5:35:28 time: 0.255 data_time: 0.017 memory: 6404 grad_norm: 7.2529 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9815 loss: 0.9815 2022/06/30 15:00:56 - mmengine - INFO - Epoch(train) [81][1800/3757] lr: 1.000e-04 eta: 5:35:23 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 7.4690 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8083 loss: 0.8083 2022/06/30 15:01:03 - mmengine - INFO - Epoch(train) [81][1820/3757] lr: 1.000e-04 eta: 5:35:18 time: 0.263 data_time: 0.006 memory: 6404 grad_norm: 9.0439 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9406 loss: 0.9406 2022/06/30 15:01:08 - mmengine - INFO - Epoch(train) [81][1840/3757] lr: 1.000e-04 eta: 5:35:12 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 11.3052 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0239 loss: 1.0239 2022/06/30 15:01:13 - mmengine - INFO - Epoch(train) [81][1860/3757] lr: 1.000e-04 eta: 5:35:07 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 10.2036 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0852 loss: 1.0852 2022/06/30 15:01:19 - mmengine - INFO - Epoch(train) [81][1880/3757] lr: 1.000e-04 eta: 5:35:01 time: 0.308 data_time: 0.010 memory: 6404 grad_norm: 8.2885 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3804 loss: 1.3804 2022/06/30 15:01:24 - mmengine - INFO - Epoch(train) [81][1900/3757] lr: 1.000e-04 eta: 5:34:56 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 7.7673 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0721 loss: 1.0721 2022/06/30 15:01:29 - mmengine - INFO - Epoch(train) [81][1920/3757] lr: 1.000e-04 eta: 5:34:50 time: 0.261 data_time: 0.011 memory: 6404 grad_norm: 7.9222 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9355 loss: 0.9355 2022/06/30 15:01:35 - mmengine - INFO - Epoch(train) [81][1940/3757] lr: 1.000e-04 eta: 5:34:44 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 7.1040 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1671 loss: 1.1671 2022/06/30 15:01:40 - mmengine - INFO - Epoch(train) [81][1960/3757] lr: 1.000e-04 eta: 5:34:39 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 8.5277 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2165 loss: 1.2165 2022/06/30 15:01:45 - mmengine - INFO - Epoch(train) [81][1980/3757] lr: 1.000e-04 eta: 5:34:33 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 8.1611 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3709 loss: 1.3709 2022/06/30 15:01:50 - mmengine - INFO - Epoch(train) [81][2000/3757] lr: 1.000e-04 eta: 5:34:28 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 8.5074 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0358 loss: 1.0358 2022/06/30 15:01:56 - mmengine - INFO - Epoch(train) [81][2020/3757] lr: 1.000e-04 eta: 5:34:22 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 8.2852 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9242 loss: 0.9242 2022/06/30 15:02:02 - mmengine - INFO - Epoch(train) [81][2040/3757] lr: 1.000e-04 eta: 5:34:17 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 10.1760 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1827 loss: 1.1827 2022/06/30 15:02:07 - mmengine - INFO - Epoch(train) [81][2060/3757] lr: 1.000e-04 eta: 5:34:11 time: 0.251 data_time: 0.015 memory: 6404 grad_norm: 7.6817 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2521 loss: 1.2521 2022/06/30 15:02:13 - mmengine - INFO - Epoch(train) [81][2080/3757] lr: 1.000e-04 eta: 5:34:06 time: 0.264 data_time: 0.010 memory: 6404 grad_norm: 8.3376 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9158 loss: 0.9158 2022/06/30 15:02:18 - mmengine - INFO - Epoch(train) [81][2100/3757] lr: 1.000e-04 eta: 5:34:00 time: 0.265 data_time: 0.015 memory: 6404 grad_norm: 8.3053 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9956 loss: 0.9956 2022/06/30 15:02:24 - mmengine - INFO - Epoch(train) [81][2120/3757] lr: 1.000e-04 eta: 5:33:55 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 9.1581 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0754 loss: 1.0754 2022/06/30 15:02:30 - mmengine - INFO - Epoch(train) [81][2140/3757] lr: 1.000e-04 eta: 5:33:50 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 10.4738 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1467 loss: 1.1467 2022/06/30 15:02:35 - mmengine - INFO - Epoch(train) [81][2160/3757] lr: 1.000e-04 eta: 5:33:44 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 7.6431 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7962 loss: 0.7962 2022/06/30 15:02:40 - mmengine - INFO - Epoch(train) [81][2180/3757] lr: 1.000e-04 eta: 5:33:39 time: 0.262 data_time: 0.013 memory: 6404 grad_norm: 7.3919 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2221 loss: 1.2221 2022/06/30 15:02:46 - mmengine - INFO - Epoch(train) [81][2200/3757] lr: 1.000e-04 eta: 5:33:33 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 7.8831 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8981 loss: 0.8981 2022/06/30 15:02:51 - mmengine - INFO - Epoch(train) [81][2220/3757] lr: 1.000e-04 eta: 5:33:28 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 7.9301 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0987 loss: 1.0987 2022/06/30 15:02:57 - mmengine - INFO - Epoch(train) [81][2240/3757] lr: 1.000e-04 eta: 5:33:22 time: 0.258 data_time: 0.019 memory: 6404 grad_norm: 10.1183 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4168 loss: 1.4168 2022/06/30 15:03:02 - mmengine - INFO - Epoch(train) [81][2260/3757] lr: 1.000e-04 eta: 5:33:16 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 9.0658 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0489 loss: 1.0489 2022/06/30 15:03:07 - mmengine - INFO - Epoch(train) [81][2280/3757] lr: 1.000e-04 eta: 5:33:11 time: 0.507 data_time: 0.008 memory: 6404 grad_norm: 8.9007 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1386 loss: 1.1386 2022/06/30 15:03:13 - mmengine - INFO - Epoch(train) [81][2300/3757] lr: 1.000e-04 eta: 5:33:06 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 9.0340 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0972 loss: 1.0972 2022/06/30 15:03:18 - mmengine - INFO - Epoch(train) [81][2320/3757] lr: 1.000e-04 eta: 5:33:00 time: 0.390 data_time: 0.009 memory: 6404 grad_norm: 9.1884 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9726 loss: 0.9726 2022/06/30 15:03:24 - mmengine - INFO - Epoch(train) [81][2340/3757] lr: 1.000e-04 eta: 5:32:54 time: 0.281 data_time: 0.008 memory: 6404 grad_norm: 7.6826 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0337 loss: 1.0337 2022/06/30 15:03:29 - mmengine - INFO - Epoch(train) [81][2360/3757] lr: 1.000e-04 eta: 5:32:49 time: 0.248 data_time: 0.055 memory: 6404 grad_norm: 7.2699 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9417 loss: 0.9417 2022/06/30 15:03:35 - mmengine - INFO - Epoch(train) [81][2380/3757] lr: 1.000e-04 eta: 5:32:43 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 9.8143 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8198 loss: 0.8198 2022/06/30 15:03:40 - mmengine - INFO - Epoch(train) [81][2400/3757] lr: 1.000e-04 eta: 5:32:38 time: 0.243 data_time: 0.012 memory: 6404 grad_norm: 7.7609 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0547 loss: 1.0547 2022/06/30 15:03:46 - mmengine - INFO - Epoch(train) [81][2420/3757] lr: 1.000e-04 eta: 5:32:33 time: 0.257 data_time: 0.021 memory: 6404 grad_norm: 9.2680 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1558 loss: 1.1558 2022/06/30 15:03:51 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 15:03:51 - mmengine - INFO - Epoch(train) [81][2440/3757] lr: 1.000e-04 eta: 5:32:27 time: 0.240 data_time: 0.045 memory: 6404 grad_norm: 9.0500 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1955 loss: 1.1955 2022/06/30 15:03:57 - mmengine - INFO - Epoch(train) [81][2460/3757] lr: 1.000e-04 eta: 5:32:22 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 9.9858 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9083 loss: 0.9083 2022/06/30 15:04:02 - mmengine - INFO - Epoch(train) [81][2480/3757] lr: 1.000e-04 eta: 5:32:16 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 9.7742 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1111 loss: 1.1111 2022/06/30 15:04:07 - mmengine - INFO - Epoch(train) [81][2500/3757] lr: 1.000e-04 eta: 5:32:10 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 8.9334 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8457 loss: 0.8457 2022/06/30 15:04:13 - mmengine - INFO - Epoch(train) [81][2520/3757] lr: 1.000e-04 eta: 5:32:05 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 9.2353 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8579 loss: 0.8579 2022/06/30 15:04:18 - mmengine - INFO - Epoch(train) [81][2540/3757] lr: 1.000e-04 eta: 5:31:59 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 10.2629 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6271 loss: 1.6271 2022/06/30 15:04:23 - mmengine - INFO - Epoch(train) [81][2560/3757] lr: 1.000e-04 eta: 5:31:54 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 7.4652 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9327 loss: 0.9327 2022/06/30 15:04:28 - mmengine - INFO - Epoch(train) [81][2580/3757] lr: 1.000e-04 eta: 5:31:48 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 10.6097 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7274 loss: 0.7274 2022/06/30 15:04:34 - mmengine - INFO - Epoch(train) [81][2600/3757] lr: 1.000e-04 eta: 5:31:43 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 7.9257 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0564 loss: 1.0564 2022/06/30 15:04:40 - mmengine - INFO - Epoch(train) [81][2620/3757] lr: 1.000e-04 eta: 5:31:37 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 7.7787 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9100 loss: 0.9100 2022/06/30 15:04:45 - mmengine - INFO - Epoch(train) [81][2640/3757] lr: 1.000e-04 eta: 5:31:32 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 9.4033 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0817 loss: 1.0817 2022/06/30 15:04:51 - mmengine - INFO - Epoch(train) [81][2660/3757] lr: 1.000e-04 eta: 5:31:26 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 7.9768 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3732 loss: 1.3732 2022/06/30 15:04:56 - mmengine - INFO - Epoch(train) [81][2680/3757] lr: 1.000e-04 eta: 5:31:21 time: 0.273 data_time: 0.008 memory: 6404 grad_norm: 8.0738 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8435 loss: 0.8435 2022/06/30 15:05:02 - mmengine - INFO - Epoch(train) [81][2700/3757] lr: 1.000e-04 eta: 5:31:15 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.0714 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1467 loss: 1.1467 2022/06/30 15:05:07 - mmengine - INFO - Epoch(train) [81][2720/3757] lr: 1.000e-04 eta: 5:31:10 time: 0.287 data_time: 0.007 memory: 6404 grad_norm: 10.5611 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0756 loss: 1.0756 2022/06/30 15:05:12 - mmengine - INFO - Epoch(train) [81][2740/3757] lr: 1.000e-04 eta: 5:31:04 time: 0.245 data_time: 0.008 memory: 6404 grad_norm: 8.3931 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1682 loss: 1.1682 2022/06/30 15:05:18 - mmengine - INFO - Epoch(train) [81][2760/3757] lr: 1.000e-04 eta: 5:30:59 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 9.1802 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0198 loss: 1.0198 2022/06/30 15:05:24 - mmengine - INFO - Epoch(train) [81][2780/3757] lr: 1.000e-04 eta: 5:30:54 time: 0.263 data_time: 0.012 memory: 6404 grad_norm: 7.5268 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8830 loss: 0.8830 2022/06/30 15:05:30 - mmengine - INFO - Epoch(train) [81][2800/3757] lr: 1.000e-04 eta: 5:30:48 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 8.1841 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7945 loss: 0.7945 2022/06/30 15:05:35 - mmengine - INFO - Epoch(train) [81][2820/3757] lr: 1.000e-04 eta: 5:30:43 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 9.9870 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3124 loss: 1.3124 2022/06/30 15:05:41 - mmengine - INFO - Epoch(train) [81][2840/3757] lr: 1.000e-04 eta: 5:30:37 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 8.5006 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0841 loss: 1.0841 2022/06/30 15:05:46 - mmengine - INFO - Epoch(train) [81][2860/3757] lr: 1.000e-04 eta: 5:30:32 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 7.8599 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0823 loss: 1.0823 2022/06/30 15:05:51 - mmengine - INFO - Epoch(train) [81][2880/3757] lr: 1.000e-04 eta: 5:30:26 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 8.6170 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1923 loss: 1.1923 2022/06/30 15:05:56 - mmengine - INFO - Epoch(train) [81][2900/3757] lr: 1.000e-04 eta: 5:30:20 time: 0.268 data_time: 0.015 memory: 6404 grad_norm: 9.7295 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2636 loss: 1.2636 2022/06/30 15:06:02 - mmengine - INFO - Epoch(train) [81][2920/3757] lr: 1.000e-04 eta: 5:30:15 time: 0.244 data_time: 0.031 memory: 6404 grad_norm: 10.4388 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9318 loss: 0.9318 2022/06/30 15:06:07 - mmengine - INFO - Epoch(train) [81][2940/3757] lr: 1.000e-04 eta: 5:30:09 time: 0.273 data_time: 0.009 memory: 6404 grad_norm: 8.6887 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8308 loss: 0.8308 2022/06/30 15:06:13 - mmengine - INFO - Epoch(train) [81][2960/3757] lr: 1.000e-04 eta: 5:30:04 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 7.9491 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1427 loss: 1.1427 2022/06/30 15:06:18 - mmengine - INFO - Epoch(train) [81][2980/3757] lr: 1.000e-04 eta: 5:29:58 time: 0.267 data_time: 0.015 memory: 6404 grad_norm: 8.6261 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9416 loss: 0.9416 2022/06/30 15:06:24 - mmengine - INFO - Epoch(train) [81][3000/3757] lr: 1.000e-04 eta: 5:29:53 time: 0.278 data_time: 0.010 memory: 6404 grad_norm: 7.2945 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8640 loss: 0.8640 2022/06/30 15:06:29 - mmengine - INFO - Epoch(train) [81][3020/3757] lr: 1.000e-04 eta: 5:29:47 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 6.7808 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2088 loss: 1.2088 2022/06/30 15:06:34 - mmengine - INFO - Epoch(train) [81][3040/3757] lr: 1.000e-04 eta: 5:29:42 time: 0.256 data_time: 0.013 memory: 6404 grad_norm: 9.1987 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9682 loss: 0.9682 2022/06/30 15:06:40 - mmengine - INFO - Epoch(train) [81][3060/3757] lr: 1.000e-04 eta: 5:29:36 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 9.5635 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0029 loss: 1.0029 2022/06/30 15:06:45 - mmengine - INFO - Epoch(train) [81][3080/3757] lr: 1.000e-04 eta: 5:29:31 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 8.5517 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1645 loss: 1.1645 2022/06/30 15:06:51 - mmengine - INFO - Epoch(train) [81][3100/3757] lr: 1.000e-04 eta: 5:29:25 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 8.8514 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2763 loss: 1.2763 2022/06/30 15:06:57 - mmengine - INFO - Epoch(train) [81][3120/3757] lr: 1.000e-04 eta: 5:29:20 time: 0.262 data_time: 0.009 memory: 6404 grad_norm: 9.0693 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0798 loss: 1.0798 2022/06/30 15:07:02 - mmengine - INFO - Epoch(train) [81][3140/3757] lr: 1.000e-04 eta: 5:29:15 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 8.6991 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8226 loss: 0.8226 2022/06/30 15:07:08 - mmengine - INFO - Epoch(train) [81][3160/3757] lr: 1.000e-04 eta: 5:29:09 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 8.0046 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5579 loss: 1.5579 2022/06/30 15:07:13 - mmengine - INFO - Epoch(train) [81][3180/3757] lr: 1.000e-04 eta: 5:29:03 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 8.2432 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0438 loss: 1.0438 2022/06/30 15:07:18 - mmengine - INFO - Epoch(train) [81][3200/3757] lr: 1.000e-04 eta: 5:28:58 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 7.0125 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0955 loss: 1.0955 2022/06/30 15:07:24 - mmengine - INFO - Epoch(train) [81][3220/3757] lr: 1.000e-04 eta: 5:28:52 time: 0.267 data_time: 0.010 memory: 6404 grad_norm: 8.7752 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1240 loss: 1.1240 2022/06/30 15:07:29 - mmengine - INFO - Epoch(train) [81][3240/3757] lr: 1.000e-04 eta: 5:28:47 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 10.0331 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2411 loss: 1.2411 2022/06/30 15:07:35 - mmengine - INFO - Epoch(train) [81][3260/3757] lr: 1.000e-04 eta: 5:28:41 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 7.3913 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1721 loss: 1.1721 2022/06/30 15:07:41 - mmengine - INFO - Epoch(train) [81][3280/3757] lr: 1.000e-04 eta: 5:28:36 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 8.0360 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8804 loss: 0.8804 2022/06/30 15:07:46 - mmengine - INFO - Epoch(train) [81][3300/3757] lr: 1.000e-04 eta: 5:28:30 time: 0.287 data_time: 0.008 memory: 6404 grad_norm: 6.6775 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1123 loss: 1.1123 2022/06/30 15:07:51 - mmengine - INFO - Epoch(train) [81][3320/3757] lr: 1.000e-04 eta: 5:28:25 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 8.3719 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6974 loss: 0.6974 2022/06/30 15:07:57 - mmengine - INFO - Epoch(train) [81][3340/3757] lr: 1.000e-04 eta: 5:28:20 time: 0.273 data_time: 0.012 memory: 6404 grad_norm: 7.6795 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9350 loss: 0.9350 2022/06/30 15:08:03 - mmengine - INFO - Epoch(train) [81][3360/3757] lr: 1.000e-04 eta: 5:28:14 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 9.4889 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9485 loss: 0.9485 2022/06/30 15:08:09 - mmengine - INFO - Epoch(train) [81][3380/3757] lr: 1.000e-04 eta: 5:28:09 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 6.9102 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9042 loss: 0.9042 2022/06/30 15:08:14 - mmengine - INFO - Epoch(train) [81][3400/3757] lr: 1.000e-04 eta: 5:28:03 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 9.6532 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9302 loss: 0.9302 2022/06/30 15:08:19 - mmengine - INFO - Epoch(train) [81][3420/3757] lr: 1.000e-04 eta: 5:27:58 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 9.1605 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9525 loss: 0.9525 2022/06/30 15:08:25 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 15:08:25 - mmengine - INFO - Epoch(train) [81][3440/3757] lr: 1.000e-04 eta: 5:27:52 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 8.5842 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9826 loss: 0.9826 2022/06/30 15:08:30 - mmengine - INFO - Epoch(train) [81][3460/3757] lr: 1.000e-04 eta: 5:27:47 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 8.8394 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9793 loss: 0.9793 2022/06/30 15:08:35 - mmengine - INFO - Epoch(train) [81][3480/3757] lr: 1.000e-04 eta: 5:27:41 time: 0.322 data_time: 0.011 memory: 6404 grad_norm: 8.0766 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1365 loss: 1.1365 2022/06/30 15:08:42 - mmengine - INFO - Epoch(train) [81][3500/3757] lr: 1.000e-04 eta: 5:27:36 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 8.4101 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0136 loss: 1.0136 2022/06/30 15:08:47 - mmengine - INFO - Epoch(train) [81][3520/3757] lr: 1.000e-04 eta: 5:27:30 time: 0.285 data_time: 0.012 memory: 6404 grad_norm: 9.9299 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7045 loss: 1.7045 2022/06/30 15:08:53 - mmengine - INFO - Epoch(train) [81][3540/3757] lr: 1.000e-04 eta: 5:27:25 time: 0.318 data_time: 0.011 memory: 6404 grad_norm: 10.6195 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1858 loss: 1.1858 2022/06/30 15:08:58 - mmengine - INFO - Epoch(train) [81][3560/3757] lr: 1.000e-04 eta: 5:27:19 time: 0.256 data_time: 0.055 memory: 6404 grad_norm: 9.8190 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0573 loss: 1.0573 2022/06/30 15:09:03 - mmengine - INFO - Epoch(train) [81][3580/3757] lr: 1.000e-04 eta: 5:27:14 time: 0.292 data_time: 0.013 memory: 6404 grad_norm: 8.7013 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3111 loss: 1.3111 2022/06/30 15:09:09 - mmengine - INFO - Epoch(train) [81][3600/3757] lr: 1.000e-04 eta: 5:27:08 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 7.7263 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9920 loss: 0.9920 2022/06/30 15:09:14 - mmengine - INFO - Epoch(train) [81][3620/3757] lr: 1.000e-04 eta: 5:27:03 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 6.3148 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8643 loss: 0.8643 2022/06/30 15:09:19 - mmengine - INFO - Epoch(train) [81][3640/3757] lr: 1.000e-04 eta: 5:26:57 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 8.5441 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0432 loss: 1.0432 2022/06/30 15:09:26 - mmengine - INFO - Epoch(train) [81][3660/3757] lr: 1.000e-04 eta: 5:26:52 time: 0.260 data_time: 0.009 memory: 6404 grad_norm: 10.3231 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1442 loss: 1.1442 2022/06/30 15:09:31 - mmengine - INFO - Epoch(train) [81][3680/3757] lr: 1.000e-04 eta: 5:26:46 time: 0.244 data_time: 0.006 memory: 6404 grad_norm: 8.7870 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9898 loss: 0.9898 2022/06/30 15:09:36 - mmengine - INFO - Epoch(train) [81][3700/3757] lr: 1.000e-04 eta: 5:26:41 time: 0.286 data_time: 0.011 memory: 6404 grad_norm: 8.1356 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0641 loss: 1.0641 2022/06/30 15:09:42 - mmengine - INFO - Epoch(train) [81][3720/3757] lr: 1.000e-04 eta: 5:26:35 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 8.6020 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1235 loss: 1.1235 2022/06/30 15:09:47 - mmengine - INFO - Epoch(train) [81][3740/3757] lr: 1.000e-04 eta: 5:26:30 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 7.7781 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0724 loss: 1.0724 2022/06/30 15:09:51 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 15:09:59 - mmengine - INFO - Epoch(val) [81][20/310] eta: 0:01:31 time: 0.106 data_time: 0.013 memory: 6404 2022/06/30 15:10:08 - mmengine - INFO - Epoch(val) [81][40/310] eta: 0:02:21 time: 0.086 data_time: 0.006 memory: 1479 2022/06/30 15:10:11 - mmengine - INFO - Epoch(val) [81][60/310] eta: 0:00:20 time: 0.077 data_time: 0.004 memory: 1479 2022/06/30 15:10:16 - mmengine - INFO - Epoch(val) [81][80/310] eta: 0:00:58 time: 0.083 data_time: 0.007 memory: 1479 2022/06/30 15:10:22 - mmengine - INFO - Epoch(val) [81][100/310] eta: 0:01:07 time: 0.622 data_time: 0.528 memory: 1479 2022/06/30 15:10:26 - mmengine - INFO - Epoch(val) [81][120/310] eta: 0:00:36 time: 0.085 data_time: 0.006 memory: 1479 2022/06/30 15:10:32 - mmengine - INFO - Epoch(val) [81][140/310] eta: 0:00:44 time: 0.085 data_time: 0.006 memory: 1479 2022/06/30 15:10:39 - mmengine - INFO - Epoch(val) [81][160/310] eta: 0:00:45 time: 1.998 data_time: 1.915 memory: 1479 2022/06/30 15:10:43 - mmengine - INFO - Epoch(val) [81][180/310] eta: 0:00:42 time: 0.081 data_time: 0.007 memory: 1479 2022/06/30 15:10:49 - mmengine - INFO - Epoch(val) [81][200/310] eta: 0:00:33 time: 0.092 data_time: 0.007 memory: 1479 2022/06/30 15:10:55 - mmengine - INFO - Epoch(val) [81][220/310] eta: 0:00:23 time: 1.705 data_time: 1.629 memory: 1479 2022/06/30 15:10:58 - mmengine - INFO - Epoch(val) [81][240/310] eta: 0:00:20 time: 0.085 data_time: 0.005 memory: 1479 2022/06/30 15:11:05 - mmengine - INFO - Epoch(val) [81][260/310] eta: 0:00:15 time: 0.081 data_time: 0.005 memory: 1479 2022/06/30 15:11:12 - mmengine - INFO - Epoch(val) [81][280/310] eta: 0:00:07 time: 1.780 data_time: 1.703 memory: 1479 2022/06/30 15:11:15 - mmengine - INFO - Epoch(val) [81][300/310] eta: 0:00:01 time: 0.085 data_time: 0.005 memory: 1479 2022/06/30 15:11:18 - mmengine - INFO - Epoch(val) [81][310/310] acc/top1: 0.6745 acc/top5: 0.8691 acc/mean1: 0.6744 2022/06/30 15:11:27 - mmengine - INFO - Epoch(train) [82][20/3757] lr: 1.000e-04 eta: 5:26:20 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 8.7339 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0928 loss: 1.0928 2022/06/30 15:11:33 - mmengine - INFO - Epoch(train) [82][40/3757] lr: 1.000e-04 eta: 5:26:15 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 7.5257 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2556 loss: 1.2556 2022/06/30 15:11:38 - mmengine - INFO - Epoch(train) [82][60/3757] lr: 1.000e-04 eta: 5:26:09 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 7.2137 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0677 loss: 1.0677 2022/06/30 15:11:44 - mmengine - INFO - Epoch(train) [82][80/3757] lr: 1.000e-04 eta: 5:26:04 time: 0.239 data_time: 0.007 memory: 6404 grad_norm: 8.7792 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8796 loss: 0.8796 2022/06/30 15:11:50 - mmengine - INFO - Epoch(train) [82][100/3757] lr: 1.000e-04 eta: 5:25:58 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 9.0240 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9208 loss: 0.9208 2022/06/30 15:11:56 - mmengine - INFO - Epoch(train) [82][120/3757] lr: 1.000e-04 eta: 5:25:53 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 9.7058 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8578 loss: 0.8578 2022/06/30 15:12:01 - mmengine - INFO - Epoch(train) [82][140/3757] lr: 1.000e-04 eta: 5:25:47 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 10.2195 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9758 loss: 0.9758 2022/06/30 15:12:06 - mmengine - INFO - Epoch(train) [82][160/3757] lr: 1.000e-04 eta: 5:25:42 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 6.5580 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3685 loss: 1.3685 2022/06/30 15:12:12 - mmengine - INFO - Epoch(train) [82][180/3757] lr: 1.000e-04 eta: 5:25:36 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 8.6360 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8169 loss: 0.8169 2022/06/30 15:12:18 - mmengine - INFO - Epoch(train) [82][200/3757] lr: 1.000e-04 eta: 5:25:31 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 6.5945 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9884 loss: 0.9884 2022/06/30 15:12:24 - mmengine - INFO - Epoch(train) [82][220/3757] lr: 1.000e-04 eta: 5:25:26 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 8.1316 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1596 loss: 1.1596 2022/06/30 15:12:29 - mmengine - INFO - Epoch(train) [82][240/3757] lr: 1.000e-04 eta: 5:25:20 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 8.3074 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4812 loss: 1.4812 2022/06/30 15:12:34 - mmengine - INFO - Epoch(train) [82][260/3757] lr: 1.000e-04 eta: 5:25:14 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 7.9773 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0918 loss: 1.0918 2022/06/30 15:12:40 - mmengine - INFO - Epoch(train) [82][280/3757] lr: 1.000e-04 eta: 5:25:09 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.7881 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7717 loss: 0.7717 2022/06/30 15:12:45 - mmengine - INFO - Epoch(train) [82][300/3757] lr: 1.000e-04 eta: 5:25:03 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 7.8488 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9662 loss: 0.9662 2022/06/30 15:12:50 - mmengine - INFO - Epoch(train) [82][320/3757] lr: 1.000e-04 eta: 5:24:58 time: 0.273 data_time: 0.021 memory: 6404 grad_norm: 6.9700 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0875 loss: 1.0875 2022/06/30 15:12:56 - mmengine - INFO - Epoch(train) [82][340/3757] lr: 1.000e-04 eta: 5:24:52 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 10.3713 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1308 loss: 1.1308 2022/06/30 15:13:02 - mmengine - INFO - Epoch(train) [82][360/3757] lr: 1.000e-04 eta: 5:24:47 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 8.4046 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9376 loss: 0.9376 2022/06/30 15:13:08 - mmengine - INFO - Epoch(train) [82][380/3757] lr: 1.000e-04 eta: 5:24:42 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 9.9117 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9385 loss: 0.9385 2022/06/30 15:13:13 - mmengine - INFO - Epoch(train) [82][400/3757] lr: 1.000e-04 eta: 5:24:36 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 9.5974 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9295 loss: 0.9295 2022/06/30 15:13:19 - mmengine - INFO - Epoch(train) [82][420/3757] lr: 1.000e-04 eta: 5:24:31 time: 0.257 data_time: 0.015 memory: 6404 grad_norm: 7.8659 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0011 loss: 1.0011 2022/06/30 15:13:24 - mmengine - INFO - Epoch(train) [82][440/3757] lr: 1.000e-04 eta: 5:24:25 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 9.8106 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1921 loss: 1.1921 2022/06/30 15:13:29 - mmengine - INFO - Epoch(train) [82][460/3757] lr: 1.000e-04 eta: 5:24:20 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 9.2444 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0462 loss: 1.0462 2022/06/30 15:13:35 - mmengine - INFO - Epoch(train) [82][480/3757] lr: 1.000e-04 eta: 5:24:14 time: 0.268 data_time: 0.008 memory: 6404 grad_norm: 10.1149 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9078 loss: 0.9078 2022/06/30 15:13:40 - mmengine - INFO - Epoch(train) [82][500/3757] lr: 1.000e-04 eta: 5:24:09 time: 0.274 data_time: 0.007 memory: 6404 grad_norm: 8.2542 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9693 loss: 0.9693 2022/06/30 15:13:46 - mmengine - INFO - Epoch(train) [82][520/3757] lr: 1.000e-04 eta: 5:24:03 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 8.2963 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0615 loss: 1.0615 2022/06/30 15:13:51 - mmengine - INFO - Epoch(train) [82][540/3757] lr: 1.000e-04 eta: 5:23:58 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 9.7171 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1998 loss: 1.1998 2022/06/30 15:13:57 - mmengine - INFO - Epoch(train) [82][560/3757] lr: 1.000e-04 eta: 5:23:52 time: 0.270 data_time: 0.008 memory: 6404 grad_norm: 9.9245 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3036 loss: 1.3036 2022/06/30 15:14:03 - mmengine - INFO - Epoch(train) [82][580/3757] lr: 1.000e-04 eta: 5:23:47 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 9.1339 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2372 loss: 1.2372 2022/06/30 15:14:08 - mmengine - INFO - Epoch(train) [82][600/3757] lr: 1.000e-04 eta: 5:23:41 time: 0.245 data_time: 0.039 memory: 6404 grad_norm: 8.6152 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0447 loss: 1.0447 2022/06/30 15:14:13 - mmengine - INFO - Epoch(train) [82][620/3757] lr: 1.000e-04 eta: 5:23:36 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 10.3552 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2867 loss: 1.2867 2022/06/30 15:14:19 - mmengine - INFO - Epoch(train) [82][640/3757] lr: 1.000e-04 eta: 5:23:30 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 9.2856 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1778 loss: 1.1778 2022/06/30 15:14:25 - mmengine - INFO - Epoch(train) [82][660/3757] lr: 1.000e-04 eta: 5:23:25 time: 0.257 data_time: 0.017 memory: 6404 grad_norm: 9.0235 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3053 loss: 1.3053 2022/06/30 15:14:30 - mmengine - INFO - Epoch(train) [82][680/3757] lr: 1.000e-04 eta: 5:23:19 time: 0.263 data_time: 0.017 memory: 6404 grad_norm: 8.9240 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1841 loss: 1.1841 2022/06/30 15:14:31 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 15:14:36 - mmengine - INFO - Epoch(train) [82][700/3757] lr: 1.000e-04 eta: 5:23:14 time: 0.269 data_time: 0.011 memory: 6404 grad_norm: 9.2004 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0728 loss: 1.0728 2022/06/30 15:14:41 - mmengine - INFO - Epoch(train) [82][720/3757] lr: 1.000e-04 eta: 5:23:08 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 8.4564 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2172 loss: 1.2172 2022/06/30 15:14:47 - mmengine - INFO - Epoch(train) [82][740/3757] lr: 1.000e-04 eta: 5:23:03 time: 0.270 data_time: 0.032 memory: 6404 grad_norm: 8.6791 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9967 loss: 0.9967 2022/06/30 15:14:52 - mmengine - INFO - Epoch(train) [82][760/3757] lr: 1.000e-04 eta: 5:22:57 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 8.2759 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0402 loss: 1.0402 2022/06/30 15:14:58 - mmengine - INFO - Epoch(train) [82][780/3757] lr: 1.000e-04 eta: 5:22:52 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 7.7302 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2841 loss: 1.2841 2022/06/30 15:15:03 - mmengine - INFO - Epoch(train) [82][800/3757] lr: 1.000e-04 eta: 5:22:46 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 8.7868 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9061 loss: 0.9061 2022/06/30 15:15:09 - mmengine - INFO - Epoch(train) [82][820/3757] lr: 1.000e-04 eta: 5:22:41 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 9.4936 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9692 loss: 0.9692 2022/06/30 15:15:14 - mmengine - INFO - Epoch(train) [82][840/3757] lr: 1.000e-04 eta: 5:22:35 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 8.3535 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3669 loss: 1.3669 2022/06/30 15:15:19 - mmengine - INFO - Epoch(train) [82][860/3757] lr: 1.000e-04 eta: 5:22:30 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 8.6308 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2980 loss: 1.2980 2022/06/30 15:15:25 - mmengine - INFO - Epoch(train) [82][880/3757] lr: 1.000e-04 eta: 5:22:24 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 7.7975 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9385 loss: 0.9385 2022/06/30 15:15:30 - mmengine - INFO - Epoch(train) [82][900/3757] lr: 1.000e-04 eta: 5:22:19 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 10.1957 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1636 loss: 1.1636 2022/06/30 15:15:36 - mmengine - INFO - Epoch(train) [82][920/3757] lr: 1.000e-04 eta: 5:22:13 time: 0.382 data_time: 0.008 memory: 6404 grad_norm: 8.2188 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2675 loss: 1.2675 2022/06/30 15:15:41 - mmengine - INFO - Epoch(train) [82][940/3757] lr: 1.000e-04 eta: 5:22:08 time: 0.424 data_time: 0.007 memory: 6404 grad_norm: 9.4040 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1542 loss: 1.1542 2022/06/30 15:15:47 - mmengine - INFO - Epoch(train) [82][960/3757] lr: 1.000e-04 eta: 5:22:02 time: 0.264 data_time: 0.011 memory: 6404 grad_norm: 9.8188 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1135 loss: 1.1135 2022/06/30 15:15:53 - mmengine - INFO - Epoch(train) [82][980/3757] lr: 1.000e-04 eta: 5:21:57 time: 0.264 data_time: 0.010 memory: 6404 grad_norm: 7.5366 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7183 loss: 0.7183 2022/06/30 15:15:58 - mmengine - INFO - Epoch(train) [82][1000/3757] lr: 1.000e-04 eta: 5:21:51 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.9174 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2692 loss: 1.2692 2022/06/30 15:16:03 - mmengine - INFO - Epoch(train) [82][1020/3757] lr: 1.000e-04 eta: 5:21:46 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.7360 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1330 loss: 1.1330 2022/06/30 15:16:08 - mmengine - INFO - Epoch(train) [82][1040/3757] lr: 1.000e-04 eta: 5:21:40 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 8.1813 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3619 loss: 1.3619 2022/06/30 15:16:14 - mmengine - INFO - Epoch(train) [82][1060/3757] lr: 1.000e-04 eta: 5:21:35 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 10.8867 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1284 loss: 1.1284 2022/06/30 15:16:19 - mmengine - INFO - Epoch(train) [82][1080/3757] lr: 1.000e-04 eta: 5:21:29 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 10.2369 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5938 loss: 0.5938 2022/06/30 15:16:25 - mmengine - INFO - Epoch(train) [82][1100/3757] lr: 1.000e-04 eta: 5:21:24 time: 0.286 data_time: 0.007 memory: 6404 grad_norm: 9.3272 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8896 loss: 0.8896 2022/06/30 15:16:31 - mmengine - INFO - Epoch(train) [82][1120/3757] lr: 1.000e-04 eta: 5:21:18 time: 0.275 data_time: 0.007 memory: 6404 grad_norm: 9.5845 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4141 loss: 1.4141 2022/06/30 15:16:36 - mmengine - INFO - Epoch(train) [82][1140/3757] lr: 1.000e-04 eta: 5:21:13 time: 0.272 data_time: 0.010 memory: 6404 grad_norm: 8.7093 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9658 loss: 0.9658 2022/06/30 15:16:41 - mmengine - INFO - Epoch(train) [82][1160/3757] lr: 1.000e-04 eta: 5:21:07 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 7.8704 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8968 loss: 0.8968 2022/06/30 15:16:47 - mmengine - INFO - Epoch(train) [82][1180/3757] lr: 1.000e-04 eta: 5:21:02 time: 0.410 data_time: 0.016 memory: 6404 grad_norm: 8.8387 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1645 loss: 1.1645 2022/06/30 15:16:53 - mmengine - INFO - Epoch(train) [82][1200/3757] lr: 1.000e-04 eta: 5:20:56 time: 0.269 data_time: 0.008 memory: 6404 grad_norm: 8.2638 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9621 loss: 0.9621 2022/06/30 15:16:58 - mmengine - INFO - Epoch(train) [82][1220/3757] lr: 1.000e-04 eta: 5:20:51 time: 0.277 data_time: 0.007 memory: 6404 grad_norm: 9.9373 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0891 loss: 1.0891 2022/06/30 15:17:03 - mmengine - INFO - Epoch(train) [82][1240/3757] lr: 1.000e-04 eta: 5:20:45 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 8.6588 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7726 loss: 0.7726 2022/06/30 15:17:09 - mmengine - INFO - Epoch(train) [82][1260/3757] lr: 1.000e-04 eta: 5:20:40 time: 0.267 data_time: 0.014 memory: 6404 grad_norm: 7.8676 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0296 loss: 1.0296 2022/06/30 15:17:14 - mmengine - INFO - Epoch(train) [82][1280/3757] lr: 1.000e-04 eta: 5:20:34 time: 0.273 data_time: 0.011 memory: 6404 grad_norm: 8.6594 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0536 loss: 1.0536 2022/06/30 15:17:20 - mmengine - INFO - Epoch(train) [82][1300/3757] lr: 1.000e-04 eta: 5:20:29 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 9.4826 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9890 loss: 0.9890 2022/06/30 15:17:25 - mmengine - INFO - Epoch(train) [82][1320/3757] lr: 1.000e-04 eta: 5:20:23 time: 0.269 data_time: 0.014 memory: 6404 grad_norm: 9.4680 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8057 loss: 0.8057 2022/06/30 15:17:31 - mmengine - INFO - Epoch(train) [82][1340/3757] lr: 1.000e-04 eta: 5:20:18 time: 0.260 data_time: 0.012 memory: 6404 grad_norm: 10.2193 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0853 loss: 1.0853 2022/06/30 15:17:36 - mmengine - INFO - Epoch(train) [82][1360/3757] lr: 1.000e-04 eta: 5:20:12 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.0205 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0509 loss: 1.0509 2022/06/30 15:17:42 - mmengine - INFO - Epoch(train) [82][1380/3757] lr: 1.000e-04 eta: 5:20:07 time: 0.249 data_time: 0.032 memory: 6404 grad_norm: 8.2117 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1590 loss: 1.1590 2022/06/30 15:17:47 - mmengine - INFO - Epoch(train) [82][1400/3757] lr: 1.000e-04 eta: 5:20:01 time: 0.245 data_time: 0.015 memory: 6404 grad_norm: 7.9469 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1058 loss: 1.1058 2022/06/30 15:17:52 - mmengine - INFO - Epoch(train) [82][1420/3757] lr: 1.000e-04 eta: 5:19:56 time: 0.263 data_time: 0.024 memory: 6404 grad_norm: 6.4564 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1402 loss: 1.1402 2022/06/30 15:17:58 - mmengine - INFO - Epoch(train) [82][1440/3757] lr: 1.000e-04 eta: 5:19:50 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 9.2513 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7023 loss: 0.7023 2022/06/30 15:18:03 - mmengine - INFO - Epoch(train) [82][1460/3757] lr: 1.000e-04 eta: 5:19:45 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 9.5781 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7697 loss: 0.7697 2022/06/30 15:18:08 - mmengine - INFO - Epoch(train) [82][1480/3757] lr: 1.000e-04 eta: 5:19:39 time: 0.241 data_time: 0.029 memory: 6404 grad_norm: 8.8920 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2615 loss: 1.2615 2022/06/30 15:18:15 - mmengine - INFO - Epoch(train) [82][1500/3757] lr: 1.000e-04 eta: 5:19:34 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 9.4970 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8894 loss: 0.8894 2022/06/30 15:18:20 - mmengine - INFO - Epoch(train) [82][1520/3757] lr: 1.000e-04 eta: 5:19:29 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 10.9897 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8323 loss: 0.8323 2022/06/30 15:18:26 - mmengine - INFO - Epoch(train) [82][1540/3757] lr: 1.000e-04 eta: 5:19:23 time: 0.281 data_time: 0.014 memory: 6404 grad_norm: 8.4268 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9760 loss: 0.9760 2022/06/30 15:18:32 - mmengine - INFO - Epoch(train) [82][1560/3757] lr: 1.000e-04 eta: 5:19:18 time: 0.281 data_time: 0.007 memory: 6404 grad_norm: 9.5270 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9587 loss: 0.9587 2022/06/30 15:18:37 - mmengine - INFO - Epoch(train) [82][1580/3757] lr: 1.000e-04 eta: 5:19:12 time: 0.257 data_time: 0.015 memory: 6404 grad_norm: 9.0542 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1333 loss: 1.1333 2022/06/30 15:18:42 - mmengine - INFO - Epoch(train) [82][1600/3757] lr: 1.000e-04 eta: 5:19:06 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 7.3232 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9621 loss: 0.9621 2022/06/30 15:18:47 - mmengine - INFO - Epoch(train) [82][1620/3757] lr: 1.000e-04 eta: 5:19:01 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 10.2519 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8379 loss: 0.8379 2022/06/30 15:18:53 - mmengine - INFO - Epoch(train) [82][1640/3757] lr: 1.000e-04 eta: 5:18:55 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 9.8382 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0199 loss: 1.0199 2022/06/30 15:18:58 - mmengine - INFO - Epoch(train) [82][1660/3757] lr: 1.000e-04 eta: 5:18:50 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 7.5440 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2310 loss: 1.2310 2022/06/30 15:19:03 - mmengine - INFO - Epoch(train) [82][1680/3757] lr: 1.000e-04 eta: 5:18:44 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 8.8692 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2538 loss: 1.2538 2022/06/30 15:19:04 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 15:19:09 - mmengine - INFO - Epoch(train) [82][1700/3757] lr: 1.000e-04 eta: 5:18:39 time: 0.245 data_time: 0.020 memory: 6404 grad_norm: 9.7640 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0967 loss: 1.0967 2022/06/30 15:19:14 - mmengine - INFO - Epoch(train) [82][1720/3757] lr: 1.000e-04 eta: 5:18:33 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 7.5000 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0609 loss: 1.0609 2022/06/30 15:19:20 - mmengine - INFO - Epoch(train) [82][1740/3757] lr: 1.000e-04 eta: 5:18:28 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 9.9094 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7621 loss: 0.7621 2022/06/30 15:19:26 - mmengine - INFO - Epoch(train) [82][1760/3757] lr: 1.000e-04 eta: 5:18:22 time: 0.260 data_time: 0.019 memory: 6404 grad_norm: 8.7578 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0454 loss: 1.0454 2022/06/30 15:19:32 - mmengine - INFO - Epoch(train) [82][1780/3757] lr: 1.000e-04 eta: 5:18:17 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 8.0056 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0663 loss: 1.0663 2022/06/30 15:19:37 - mmengine - INFO - Epoch(train) [82][1800/3757] lr: 1.000e-04 eta: 5:18:12 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 8.6452 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1932 loss: 1.1932 2022/06/30 15:19:43 - mmengine - INFO - Epoch(train) [82][1820/3757] lr: 1.000e-04 eta: 5:18:06 time: 0.275 data_time: 0.016 memory: 6404 grad_norm: 8.9416 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9334 loss: 0.9334 2022/06/30 15:19:48 - mmengine - INFO - Epoch(train) [82][1840/3757] lr: 1.000e-04 eta: 5:18:01 time: 0.287 data_time: 0.008 memory: 6404 grad_norm: 7.4884 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0426 loss: 1.0426 2022/06/30 15:19:54 - mmengine - INFO - Epoch(train) [82][1860/3757] lr: 1.000e-04 eta: 5:17:55 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 8.7166 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0199 loss: 1.0199 2022/06/30 15:19:59 - mmengine - INFO - Epoch(train) [82][1880/3757] lr: 1.000e-04 eta: 5:17:50 time: 0.275 data_time: 0.015 memory: 6404 grad_norm: 9.1394 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9588 loss: 0.9588 2022/06/30 15:20:05 - mmengine - INFO - Epoch(train) [82][1900/3757] lr: 1.000e-04 eta: 5:17:44 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.6999 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5928 loss: 1.5928 2022/06/30 15:20:10 - mmengine - INFO - Epoch(train) [82][1920/3757] lr: 1.000e-04 eta: 5:17:39 time: 0.265 data_time: 0.009 memory: 6404 grad_norm: 8.6266 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0286 loss: 1.0286 2022/06/30 15:20:16 - mmengine - INFO - Epoch(train) [82][1940/3757] lr: 1.000e-04 eta: 5:17:33 time: 0.242 data_time: 0.041 memory: 6404 grad_norm: 8.3211 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2548 loss: 1.2548 2022/06/30 15:20:22 - mmengine - INFO - Epoch(train) [82][1960/3757] lr: 1.000e-04 eta: 5:17:28 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 8.8337 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0862 loss: 1.0862 2022/06/30 15:20:27 - mmengine - INFO - Epoch(train) [82][1980/3757] lr: 1.000e-04 eta: 5:17:22 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 10.1337 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2132 loss: 1.2132 2022/06/30 15:20:33 - mmengine - INFO - Epoch(train) [82][2000/3757] lr: 1.000e-04 eta: 5:17:17 time: 0.278 data_time: 0.008 memory: 6404 grad_norm: 8.0962 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0523 loss: 1.0523 2022/06/30 15:20:38 - mmengine - INFO - Epoch(train) [82][2020/3757] lr: 1.000e-04 eta: 5:17:11 time: 0.246 data_time: 0.012 memory: 6404 grad_norm: 9.8739 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0285 loss: 1.0285 2022/06/30 15:20:44 - mmengine - INFO - Epoch(train) [82][2040/3757] lr: 1.000e-04 eta: 5:17:06 time: 0.259 data_time: 0.016 memory: 6404 grad_norm: 7.4072 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1838 loss: 1.1838 2022/06/30 15:20:49 - mmengine - INFO - Epoch(train) [82][2060/3757] lr: 1.000e-04 eta: 5:17:00 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 7.2597 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0656 loss: 1.0656 2022/06/30 15:20:55 - mmengine - INFO - Epoch(train) [82][2080/3757] lr: 1.000e-04 eta: 5:16:55 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 6.2375 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7767 loss: 0.7767 2022/06/30 15:21:00 - mmengine - INFO - Epoch(train) [82][2100/3757] lr: 1.000e-04 eta: 5:16:49 time: 0.261 data_time: 0.014 memory: 6404 grad_norm: 7.8466 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1372 loss: 1.1372 2022/06/30 15:21:05 - mmengine - INFO - Epoch(train) [82][2120/3757] lr: 1.000e-04 eta: 5:16:44 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 8.5275 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9483 loss: 0.9483 2022/06/30 15:21:12 - mmengine - INFO - Epoch(train) [82][2140/3757] lr: 1.000e-04 eta: 5:16:39 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 10.6996 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1393 loss: 1.1393 2022/06/30 15:21:17 - mmengine - INFO - Epoch(train) [82][2160/3757] lr: 1.000e-04 eta: 5:16:33 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 9.3679 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0744 loss: 1.0744 2022/06/30 15:21:22 - mmengine - INFO - Epoch(train) [82][2180/3757] lr: 1.000e-04 eta: 5:16:27 time: 0.259 data_time: 0.036 memory: 6404 grad_norm: 9.3819 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9968 loss: 0.9968 2022/06/30 15:21:28 - mmengine - INFO - Epoch(train) [82][2200/3757] lr: 1.000e-04 eta: 5:16:22 time: 0.582 data_time: 0.007 memory: 6404 grad_norm: 10.1915 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1251 loss: 1.1251 2022/06/30 15:21:34 - mmengine - INFO - Epoch(train) [82][2220/3757] lr: 1.000e-04 eta: 5:16:17 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 8.7434 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1192 loss: 1.1192 2022/06/30 15:21:39 - mmengine - INFO - Epoch(train) [82][2240/3757] lr: 1.000e-04 eta: 5:16:11 time: 0.263 data_time: 0.023 memory: 6404 grad_norm: 8.5843 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0589 loss: 1.0589 2022/06/30 15:21:44 - mmengine - INFO - Epoch(train) [82][2260/3757] lr: 1.000e-04 eta: 5:16:05 time: 0.458 data_time: 0.008 memory: 6404 grad_norm: 8.9149 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2747 loss: 1.2747 2022/06/30 15:21:50 - mmengine - INFO - Epoch(train) [82][2280/3757] lr: 1.000e-04 eta: 5:16:00 time: 0.454 data_time: 0.010 memory: 6404 grad_norm: 7.1437 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1447 loss: 1.1447 2022/06/30 15:21:56 - mmengine - INFO - Epoch(train) [82][2300/3757] lr: 1.000e-04 eta: 5:15:55 time: 0.301 data_time: 0.007 memory: 6404 grad_norm: 9.0943 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9236 loss: 0.9236 2022/06/30 15:22:01 - mmengine - INFO - Epoch(train) [82][2320/3757] lr: 1.000e-04 eta: 5:15:49 time: 0.480 data_time: 0.008 memory: 6404 grad_norm: 8.2354 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1489 loss: 1.1489 2022/06/30 15:22:07 - mmengine - INFO - Epoch(train) [82][2340/3757] lr: 1.000e-04 eta: 5:15:44 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 8.1960 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3208 loss: 1.3208 2022/06/30 15:22:13 - mmengine - INFO - Epoch(train) [82][2360/3757] lr: 1.000e-04 eta: 5:15:38 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 9.2173 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0447 loss: 1.0447 2022/06/30 15:22:18 - mmengine - INFO - Epoch(train) [82][2380/3757] lr: 1.000e-04 eta: 5:15:33 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 8.7590 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8673 loss: 0.8673 2022/06/30 15:22:23 - mmengine - INFO - Epoch(train) [82][2400/3757] lr: 1.000e-04 eta: 5:15:27 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 8.6271 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.7211 loss: 0.7211 2022/06/30 15:22:29 - mmengine - INFO - Epoch(train) [82][2420/3757] lr: 1.000e-04 eta: 5:15:22 time: 0.259 data_time: 0.012 memory: 6404 grad_norm: 9.9831 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0935 loss: 1.0935 2022/06/30 15:22:35 - mmengine - INFO - Epoch(train) [82][2440/3757] lr: 1.000e-04 eta: 5:15:16 time: 0.292 data_time: 0.008 memory: 6404 grad_norm: 9.3437 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2559 loss: 1.2559 2022/06/30 15:22:40 - mmengine - INFO - Epoch(train) [82][2460/3757] lr: 1.000e-04 eta: 5:15:11 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 8.8631 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5185 loss: 0.5185 2022/06/30 15:22:45 - mmengine - INFO - Epoch(train) [82][2480/3757] lr: 1.000e-04 eta: 5:15:05 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 12.2528 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0131 loss: 1.0131 2022/06/30 15:22:51 - mmengine - INFO - Epoch(train) [82][2500/3757] lr: 1.000e-04 eta: 5:15:00 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.3385 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1629 loss: 1.1629 2022/06/30 15:22:56 - mmengine - INFO - Epoch(train) [82][2520/3757] lr: 1.000e-04 eta: 5:14:54 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 7.7003 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2463 loss: 1.2463 2022/06/30 15:23:02 - mmengine - INFO - Epoch(train) [82][2540/3757] lr: 1.000e-04 eta: 5:14:49 time: 0.246 data_time: 0.015 memory: 6404 grad_norm: 8.5069 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0579 loss: 1.0579 2022/06/30 15:23:07 - mmengine - INFO - Epoch(train) [82][2560/3757] lr: 1.000e-04 eta: 5:14:43 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 7.9652 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1780 loss: 1.1780 2022/06/30 15:23:13 - mmengine - INFO - Epoch(train) [82][2580/3757] lr: 1.000e-04 eta: 5:14:38 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 9.4882 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2393 loss: 1.2393 2022/06/30 15:23:18 - mmengine - INFO - Epoch(train) [82][2600/3757] lr: 1.000e-04 eta: 5:14:32 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 8.2873 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8745 loss: 0.8745 2022/06/30 15:23:24 - mmengine - INFO - Epoch(train) [82][2620/3757] lr: 1.000e-04 eta: 5:14:27 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 9.1070 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0988 loss: 1.0988 2022/06/30 15:23:29 - mmengine - INFO - Epoch(train) [82][2640/3757] lr: 1.000e-04 eta: 5:14:21 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 10.2773 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7358 loss: 0.7358 2022/06/30 15:23:35 - mmengine - INFO - Epoch(train) [82][2660/3757] lr: 1.000e-04 eta: 5:14:16 time: 0.256 data_time: 0.015 memory: 6404 grad_norm: 9.0934 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8491 loss: 0.8491 2022/06/30 15:23:40 - mmengine - INFO - Epoch(train) [82][2680/3757] lr: 1.000e-04 eta: 5:14:10 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 8.1016 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1609 loss: 1.1609 2022/06/30 15:23:41 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 15:23:46 - mmengine - INFO - Epoch(train) [82][2700/3757] lr: 1.000e-04 eta: 5:14:05 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 7.8991 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2966 loss: 1.2966 2022/06/30 15:23:52 - mmengine - INFO - Epoch(train) [82][2720/3757] lr: 1.000e-04 eta: 5:13:59 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 9.7129 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9419 loss: 0.9419 2022/06/30 15:23:57 - mmengine - INFO - Epoch(train) [82][2740/3757] lr: 1.000e-04 eta: 5:13:54 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 8.8710 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9848 loss: 0.9848 2022/06/30 15:24:02 - mmengine - INFO - Epoch(train) [82][2760/3757] lr: 1.000e-04 eta: 5:13:48 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 9.2796 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8802 loss: 0.8802 2022/06/30 15:24:07 - mmengine - INFO - Epoch(train) [82][2780/3757] lr: 1.000e-04 eta: 5:13:43 time: 0.263 data_time: 0.012 memory: 6404 grad_norm: 8.7381 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7592 loss: 0.7592 2022/06/30 15:24:13 - mmengine - INFO - Epoch(train) [82][2800/3757] lr: 1.000e-04 eta: 5:13:37 time: 0.501 data_time: 0.011 memory: 6404 grad_norm: 8.4784 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0030 loss: 1.0030 2022/06/30 15:24:19 - mmengine - INFO - Epoch(train) [82][2820/3757] lr: 1.000e-04 eta: 5:13:32 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 9.6760 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8488 loss: 0.8488 2022/06/30 15:24:25 - mmengine - INFO - Epoch(train) [82][2840/3757] lr: 1.000e-04 eta: 5:13:26 time: 0.772 data_time: 0.007 memory: 6404 grad_norm: 9.4072 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2805 loss: 1.2805 2022/06/30 15:24:30 - mmengine - INFO - Epoch(train) [82][2860/3757] lr: 1.000e-04 eta: 5:13:21 time: 0.263 data_time: 0.073 memory: 6404 grad_norm: 10.4357 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3401 loss: 1.3401 2022/06/30 15:24:36 - mmengine - INFO - Epoch(train) [82][2880/3757] lr: 1.000e-04 eta: 5:13:15 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 9.7954 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2945 loss: 1.2945 2022/06/30 15:24:41 - mmengine - INFO - Epoch(train) [82][2900/3757] lr: 1.000e-04 eta: 5:13:10 time: 0.483 data_time: 0.059 memory: 6404 grad_norm: 8.5374 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2817 loss: 1.2817 2022/06/30 15:24:46 - mmengine - INFO - Epoch(train) [82][2920/3757] lr: 1.000e-04 eta: 5:13:04 time: 0.246 data_time: 0.016 memory: 6404 grad_norm: 8.0401 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8427 loss: 0.8427 2022/06/30 15:24:52 - mmengine - INFO - Epoch(train) [82][2940/3757] lr: 1.000e-04 eta: 5:12:59 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 9.0452 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1476 loss: 1.1476 2022/06/30 15:24:57 - mmengine - INFO - Epoch(train) [82][2960/3757] lr: 1.000e-04 eta: 5:12:54 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 8.0819 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6987 loss: 0.6987 2022/06/30 15:25:03 - mmengine - INFO - Epoch(train) [82][2980/3757] lr: 1.000e-04 eta: 5:12:48 time: 0.907 data_time: 0.015 memory: 6404 grad_norm: 7.7674 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1004 loss: 1.1004 2022/06/30 15:25:09 - mmengine - INFO - Epoch(train) [82][3000/3757] lr: 1.000e-04 eta: 5:12:43 time: 0.263 data_time: 0.008 memory: 6404 grad_norm: 8.2995 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9387 loss: 0.9387 2022/06/30 15:25:14 - mmengine - INFO - Epoch(train) [82][3020/3757] lr: 1.000e-04 eta: 5:12:37 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 8.5596 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9234 loss: 0.9234 2022/06/30 15:25:21 - mmengine - INFO - Epoch(train) [82][3040/3757] lr: 1.000e-04 eta: 5:12:32 time: 1.411 data_time: 0.007 memory: 6404 grad_norm: 7.9712 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9301 loss: 0.9301 2022/06/30 15:25:26 - mmengine - INFO - Epoch(train) [82][3060/3757] lr: 1.000e-04 eta: 5:12:26 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 8.5211 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0378 loss: 1.0378 2022/06/30 15:25:32 - mmengine - INFO - Epoch(train) [82][3080/3757] lr: 1.000e-04 eta: 5:12:21 time: 0.279 data_time: 0.016 memory: 6404 grad_norm: 7.8883 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9777 loss: 0.9777 2022/06/30 15:25:37 - mmengine - INFO - Epoch(train) [82][3100/3757] lr: 1.000e-04 eta: 5:12:15 time: 0.272 data_time: 0.008 memory: 6404 grad_norm: 8.6429 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1318 loss: 1.1318 2022/06/30 15:25:42 - mmengine - INFO - Epoch(train) [82][3120/3757] lr: 1.000e-04 eta: 5:12:10 time: 0.250 data_time: 0.014 memory: 6404 grad_norm: 10.2763 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0185 loss: 1.0185 2022/06/30 15:25:47 - mmengine - INFO - Epoch(train) [82][3140/3757] lr: 1.000e-04 eta: 5:12:04 time: 0.250 data_time: 0.016 memory: 6404 grad_norm: 8.2989 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0004 loss: 1.0004 2022/06/30 15:25:53 - mmengine - INFO - Epoch(train) [82][3160/3757] lr: 1.000e-04 eta: 5:11:59 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 8.4303 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7393 loss: 0.7393 2022/06/30 15:25:58 - mmengine - INFO - Epoch(train) [82][3180/3757] lr: 1.000e-04 eta: 5:11:53 time: 0.256 data_time: 0.015 memory: 6404 grad_norm: 9.3476 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9725 loss: 0.9725 2022/06/30 15:26:03 - mmengine - INFO - Epoch(train) [82][3200/3757] lr: 1.000e-04 eta: 5:11:48 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.7763 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7547 loss: 0.7547 2022/06/30 15:26:09 - mmengine - INFO - Epoch(train) [82][3220/3757] lr: 1.000e-04 eta: 5:11:42 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 9.5176 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1664 loss: 1.1664 2022/06/30 15:26:15 - mmengine - INFO - Epoch(train) [82][3240/3757] lr: 1.000e-04 eta: 5:11:37 time: 0.261 data_time: 0.015 memory: 6404 grad_norm: 7.7646 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0540 loss: 1.0540 2022/06/30 15:26:20 - mmengine - INFO - Epoch(train) [82][3260/3757] lr: 1.000e-04 eta: 5:11:31 time: 0.261 data_time: 0.012 memory: 6404 grad_norm: 8.6384 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7829 loss: 0.7829 2022/06/30 15:26:25 - mmengine - INFO - Epoch(train) [82][3280/3757] lr: 1.000e-04 eta: 5:11:26 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 8.8846 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4113 loss: 1.4113 2022/06/30 15:26:31 - mmengine - INFO - Epoch(train) [82][3300/3757] lr: 1.000e-04 eta: 5:11:20 time: 0.273 data_time: 0.033 memory: 6404 grad_norm: 9.7108 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0456 loss: 1.0456 2022/06/30 15:26:36 - mmengine - INFO - Epoch(train) [82][3320/3757] lr: 1.000e-04 eta: 5:11:15 time: 0.263 data_time: 0.012 memory: 6404 grad_norm: 8.6012 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0129 loss: 1.0129 2022/06/30 15:26:42 - mmengine - INFO - Epoch(train) [82][3340/3757] lr: 1.000e-04 eta: 5:11:09 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 8.0796 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0004 loss: 1.0004 2022/06/30 15:26:48 - mmengine - INFO - Epoch(train) [82][3360/3757] lr: 1.000e-04 eta: 5:11:04 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 9.2389 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0495 loss: 1.0495 2022/06/30 15:26:53 - mmengine - INFO - Epoch(train) [82][3380/3757] lr: 1.000e-04 eta: 5:10:58 time: 0.252 data_time: 0.018 memory: 6404 grad_norm: 7.8247 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0900 loss: 1.0900 2022/06/30 15:26:59 - mmengine - INFO - Epoch(train) [82][3400/3757] lr: 1.000e-04 eta: 5:10:53 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 7.9304 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9227 loss: 0.9227 2022/06/30 15:27:04 - mmengine - INFO - Epoch(train) [82][3420/3757] lr: 1.000e-04 eta: 5:10:47 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.5220 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7333 loss: 0.7333 2022/06/30 15:27:10 - mmengine - INFO - Epoch(train) [82][3440/3757] lr: 1.000e-04 eta: 5:10:42 time: 0.249 data_time: 0.023 memory: 6404 grad_norm: 8.0290 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0282 loss: 1.0282 2022/06/30 15:27:15 - mmengine - INFO - Epoch(train) [82][3460/3757] lr: 1.000e-04 eta: 5:10:36 time: 0.266 data_time: 0.011 memory: 6404 grad_norm: 7.8431 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3131 loss: 1.3131 2022/06/30 15:27:20 - mmengine - INFO - Epoch(train) [82][3480/3757] lr: 1.000e-04 eta: 5:10:31 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.2050 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1955 loss: 1.1955 2022/06/30 15:27:26 - mmengine - INFO - Epoch(train) [82][3500/3757] lr: 1.000e-04 eta: 5:10:25 time: 0.257 data_time: 0.055 memory: 6404 grad_norm: 9.1953 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8902 loss: 0.8902 2022/06/30 15:27:31 - mmengine - INFO - Epoch(train) [82][3520/3757] lr: 1.000e-04 eta: 5:10:20 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 10.3360 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7705 loss: 0.7705 2022/06/30 15:27:37 - mmengine - INFO - Epoch(train) [82][3540/3757] lr: 1.000e-04 eta: 5:10:14 time: 0.256 data_time: 0.013 memory: 6404 grad_norm: 9.6642 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9135 loss: 0.9135 2022/06/30 15:27:43 - mmengine - INFO - Epoch(train) [82][3560/3757] lr: 1.000e-04 eta: 5:10:09 time: 0.369 data_time: 0.017 memory: 6404 grad_norm: 9.5998 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1862 loss: 1.1862 2022/06/30 15:27:48 - mmengine - INFO - Epoch(train) [82][3580/3757] lr: 1.000e-04 eta: 5:10:03 time: 0.270 data_time: 0.008 memory: 6404 grad_norm: 7.9472 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9697 loss: 0.9697 2022/06/30 15:27:54 - mmengine - INFO - Epoch(train) [82][3600/3757] lr: 1.000e-04 eta: 5:09:58 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 7.8584 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8223 loss: 0.8223 2022/06/30 15:27:59 - mmengine - INFO - Epoch(train) [82][3620/3757] lr: 1.000e-04 eta: 5:09:52 time: 0.286 data_time: 0.010 memory: 6404 grad_norm: 8.3506 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9884 loss: 0.9884 2022/06/30 15:28:05 - mmengine - INFO - Epoch(train) [82][3640/3757] lr: 1.000e-04 eta: 5:09:47 time: 0.295 data_time: 0.008 memory: 6404 grad_norm: 8.4070 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0236 loss: 1.0236 2022/06/30 15:28:11 - mmengine - INFO - Epoch(train) [82][3660/3757] lr: 1.000e-04 eta: 5:09:42 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 9.6918 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1649 loss: 1.1649 2022/06/30 15:28:16 - mmengine - INFO - Epoch(train) [82][3680/3757] lr: 1.000e-04 eta: 5:09:36 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 7.8291 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9245 loss: 0.9245 2022/06/30 15:28:17 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 15:28:22 - mmengine - INFO - Epoch(train) [82][3700/3757] lr: 1.000e-04 eta: 5:09:31 time: 0.268 data_time: 0.008 memory: 6404 grad_norm: 10.2930 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2971 loss: 1.2971 2022/06/30 15:28:27 - mmengine - INFO - Epoch(train) [82][3720/3757] lr: 1.000e-04 eta: 5:09:25 time: 0.261 data_time: 0.009 memory: 6404 grad_norm: 6.3814 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9280 loss: 0.9280 2022/06/30 15:28:32 - mmengine - INFO - Epoch(train) [82][3740/3757] lr: 1.000e-04 eta: 5:09:19 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 9.8760 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9000 loss: 0.9000 2022/06/30 15:28:36 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 15:28:43 - mmengine - INFO - Epoch(val) [82][20/310] eta: 0:01:31 time: 0.094 data_time: 0.005 memory: 6404 2022/06/30 15:28:49 - mmengine - INFO - Epoch(val) [82][40/310] eta: 0:01:23 time: 0.429 data_time: 0.345 memory: 1479 2022/06/30 15:28:53 - mmengine - INFO - Epoch(val) [82][60/310] eta: 0:00:24 time: 0.088 data_time: 0.005 memory: 1479 2022/06/30 15:28:59 - mmengine - INFO - Epoch(val) [82][80/310] eta: 0:01:05 time: 0.083 data_time: 0.009 memory: 1479 2022/06/30 15:29:05 - mmengine - INFO - Epoch(val) [82][100/310] eta: 0:01:01 time: 0.831 data_time: 0.747 memory: 1479 2022/06/30 15:29:09 - mmengine - INFO - Epoch(val) [82][120/310] eta: 0:00:30 time: 0.094 data_time: 0.007 memory: 1479 2022/06/30 15:29:15 - mmengine - INFO - Epoch(val) [82][140/310] eta: 0:00:47 time: 0.090 data_time: 0.006 memory: 1479 2022/06/30 15:29:21 - mmengine - INFO - Epoch(val) [82][160/310] eta: 0:00:46 time: 1.697 data_time: 1.622 memory: 1479 2022/06/30 15:29:25 - mmengine - INFO - Epoch(val) [82][180/310] eta: 0:00:37 time: 0.078 data_time: 0.005 memory: 1479 2022/06/30 15:29:31 - mmengine - INFO - Epoch(val) [82][200/310] eta: 0:00:34 time: 0.080 data_time: 0.005 memory: 1479 2022/06/30 15:29:37 - mmengine - INFO - Epoch(val) [82][220/310] eta: 0:00:25 time: 1.018 data_time: 0.932 memory: 1479 2022/06/30 15:29:41 - mmengine - INFO - Epoch(val) [82][240/310] eta: 0:00:17 time: 0.086 data_time: 0.005 memory: 1479 2022/06/30 15:29:46 - mmengine - INFO - Epoch(val) [82][260/310] eta: 0:00:14 time: 0.079 data_time: 0.006 memory: 1479 2022/06/30 15:29:53 - mmengine - INFO - Epoch(val) [82][280/310] eta: 0:00:09 time: 0.930 data_time: 0.852 memory: 1479 2022/06/30 15:29:56 - mmengine - INFO - Epoch(val) [82][300/310] eta: 0:00:01 time: 0.077 data_time: 0.005 memory: 1479 2022/06/30 15:30:00 - mmengine - INFO - Epoch(val) [82][310/310] acc/top1: 0.6736 acc/top5: 0.8696 acc/mean1: 0.6735 2022/06/30 15:30:09 - mmengine - INFO - Epoch(train) [83][20/3757] lr: 1.000e-04 eta: 5:09:10 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 9.5568 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9233 loss: 0.9233 2022/06/30 15:30:16 - mmengine - INFO - Epoch(train) [83][40/3757] lr: 1.000e-04 eta: 5:09:04 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 6.8862 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1170 loss: 1.1170 2022/06/30 15:30:21 - mmengine - INFO - Epoch(train) [83][60/3757] lr: 1.000e-04 eta: 5:08:59 time: 0.307 data_time: 0.006 memory: 6404 grad_norm: 8.7459 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7861 loss: 0.7861 2022/06/30 15:30:27 - mmengine - INFO - Epoch(train) [83][80/3757] lr: 1.000e-04 eta: 5:08:53 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 8.2681 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0569 loss: 1.0569 2022/06/30 15:30:35 - mmengine - INFO - Epoch(train) [83][100/3757] lr: 1.000e-04 eta: 5:08:49 time: 0.259 data_time: 0.006 memory: 6404 grad_norm: 9.8272 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2529 loss: 1.2529 2022/06/30 15:30:40 - mmengine - INFO - Epoch(train) [83][120/3757] lr: 1.000e-04 eta: 5:08:43 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 9.1032 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0622 loss: 1.0622 2022/06/30 15:30:46 - mmengine - INFO - Epoch(train) [83][140/3757] lr: 1.000e-04 eta: 5:08:37 time: 0.280 data_time: 0.007 memory: 6404 grad_norm: 6.9842 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8087 loss: 0.8087 2022/06/30 15:30:51 - mmengine - INFO - Epoch(train) [83][160/3757] lr: 1.000e-04 eta: 5:08:32 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 9.4217 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7139 loss: 0.7139 2022/06/30 15:30:57 - mmengine - INFO - Epoch(train) [83][180/3757] lr: 1.000e-04 eta: 5:08:27 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 8.2872 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1217 loss: 1.1217 2022/06/30 15:31:02 - mmengine - INFO - Epoch(train) [83][200/3757] lr: 1.000e-04 eta: 5:08:21 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 9.7710 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2695 loss: 1.2695 2022/06/30 15:31:08 - mmengine - INFO - Epoch(train) [83][220/3757] lr: 1.000e-04 eta: 5:08:15 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 8.9198 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0063 loss: 1.0063 2022/06/30 15:31:13 - mmengine - INFO - Epoch(train) [83][240/3757] lr: 1.000e-04 eta: 5:08:10 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 8.3073 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2668 loss: 1.2668 2022/06/30 15:31:19 - mmengine - INFO - Epoch(train) [83][260/3757] lr: 1.000e-04 eta: 5:08:04 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 9.1542 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8719 loss: 0.8719 2022/06/30 15:31:24 - mmengine - INFO - Epoch(train) [83][280/3757] lr: 1.000e-04 eta: 5:07:59 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 8.3470 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1656 loss: 1.1656 2022/06/30 15:31:30 - mmengine - INFO - Epoch(train) [83][300/3757] lr: 1.000e-04 eta: 5:07:54 time: 0.268 data_time: 0.009 memory: 6404 grad_norm: 8.5361 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1694 loss: 1.1694 2022/06/30 15:31:36 - mmengine - INFO - Epoch(train) [83][320/3757] lr: 1.000e-04 eta: 5:07:48 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 9.8994 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0926 loss: 1.0926 2022/06/30 15:31:41 - mmengine - INFO - Epoch(train) [83][340/3757] lr: 1.000e-04 eta: 5:07:43 time: 0.329 data_time: 0.013 memory: 6404 grad_norm: 7.6292 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1868 loss: 1.1868 2022/06/30 15:31:46 - mmengine - INFO - Epoch(train) [83][360/3757] lr: 1.000e-04 eta: 5:07:37 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 11.5167 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8296 loss: 0.8296 2022/06/30 15:31:52 - mmengine - INFO - Epoch(train) [83][380/3757] lr: 1.000e-04 eta: 5:07:32 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 10.0886 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1449 loss: 1.1449 2022/06/30 15:31:58 - mmengine - INFO - Epoch(train) [83][400/3757] lr: 1.000e-04 eta: 5:07:26 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 7.8673 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9392 loss: 0.9392 2022/06/30 15:32:03 - mmengine - INFO - Epoch(train) [83][420/3757] lr: 1.000e-04 eta: 5:07:21 time: 0.250 data_time: 0.014 memory: 6404 grad_norm: 8.0510 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2839 loss: 1.2839 2022/06/30 15:32:08 - mmengine - INFO - Epoch(train) [83][440/3757] lr: 1.000e-04 eta: 5:07:15 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 10.0356 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0638 loss: 1.0638 2022/06/30 15:32:14 - mmengine - INFO - Epoch(train) [83][460/3757] lr: 1.000e-04 eta: 5:07:10 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 7.1139 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9139 loss: 0.9139 2022/06/30 15:32:19 - mmengine - INFO - Epoch(train) [83][480/3757] lr: 1.000e-04 eta: 5:07:04 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 8.6671 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3249 loss: 1.3249 2022/06/30 15:32:24 - mmengine - INFO - Epoch(train) [83][500/3757] lr: 1.000e-04 eta: 5:06:58 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 9.5467 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1311 loss: 1.1311 2022/06/30 15:32:29 - mmengine - INFO - Epoch(train) [83][520/3757] lr: 1.000e-04 eta: 5:06:53 time: 0.256 data_time: 0.021 memory: 6404 grad_norm: 7.6413 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3217 loss: 1.3217 2022/06/30 15:32:35 - mmengine - INFO - Epoch(train) [83][540/3757] lr: 1.000e-04 eta: 5:06:47 time: 0.250 data_time: 0.015 memory: 6404 grad_norm: 8.8638 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6346 loss: 0.6346 2022/06/30 15:32:40 - mmengine - INFO - Epoch(train) [83][560/3757] lr: 1.000e-04 eta: 5:06:42 time: 0.260 data_time: 0.012 memory: 6404 grad_norm: 9.1528 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3527 loss: 1.3527 2022/06/30 15:32:46 - mmengine - INFO - Epoch(train) [83][580/3757] lr: 1.000e-04 eta: 5:06:37 time: 0.267 data_time: 0.026 memory: 6404 grad_norm: 9.3453 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7978 loss: 0.7978 2022/06/30 15:32:52 - mmengine - INFO - Epoch(train) [83][600/3757] lr: 1.000e-04 eta: 5:06:31 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 10.3169 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.8502 loss: 0.8502 2022/06/30 15:32:58 - mmengine - INFO - Epoch(train) [83][620/3757] lr: 1.000e-04 eta: 5:06:26 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 8.0041 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4755 loss: 1.4755 2022/06/30 15:33:03 - mmengine - INFO - Epoch(train) [83][640/3757] lr: 1.000e-04 eta: 5:06:20 time: 0.269 data_time: 0.068 memory: 6404 grad_norm: 8.9268 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9899 loss: 0.9899 2022/06/30 15:33:09 - mmengine - INFO - Epoch(train) [83][660/3757] lr: 1.000e-04 eta: 5:06:15 time: 0.255 data_time: 0.018 memory: 6404 grad_norm: 9.6269 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9565 loss: 0.9565 2022/06/30 15:33:14 - mmengine - INFO - Epoch(train) [83][680/3757] lr: 1.000e-04 eta: 5:06:09 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 6.7296 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4077 loss: 1.4077 2022/06/30 15:33:20 - mmengine - INFO - Epoch(train) [83][700/3757] lr: 1.000e-04 eta: 5:06:04 time: 0.248 data_time: 0.021 memory: 6404 grad_norm: 8.7386 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8605 loss: 0.8605 2022/06/30 15:33:25 - mmengine - INFO - Epoch(train) [83][720/3757] lr: 1.000e-04 eta: 5:05:58 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 8.6487 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9653 loss: 0.9653 2022/06/30 15:33:32 - mmengine - INFO - Epoch(train) [83][740/3757] lr: 1.000e-04 eta: 5:05:53 time: 0.512 data_time: 0.179 memory: 6404 grad_norm: 6.5241 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9351 loss: 0.9351 2022/06/30 15:33:37 - mmengine - INFO - Epoch(train) [83][760/3757] lr: 1.000e-04 eta: 5:05:47 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 8.6339 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7418 loss: 0.7418 2022/06/30 15:33:43 - mmengine - INFO - Epoch(train) [83][780/3757] lr: 1.000e-04 eta: 5:05:42 time: 0.256 data_time: 0.015 memory: 6404 grad_norm: 9.0665 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6515 loss: 0.6515 2022/06/30 15:33:48 - mmengine - INFO - Epoch(train) [83][800/3757] lr: 1.000e-04 eta: 5:05:36 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 8.9023 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8259 loss: 0.8259 2022/06/30 15:33:53 - mmengine - INFO - Epoch(train) [83][820/3757] lr: 1.000e-04 eta: 5:05:31 time: 0.267 data_time: 0.019 memory: 6404 grad_norm: 9.5346 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1518 loss: 1.1518 2022/06/30 15:33:59 - mmengine - INFO - Epoch(train) [83][840/3757] lr: 1.000e-04 eta: 5:05:25 time: 0.274 data_time: 0.077 memory: 6404 grad_norm: 8.3727 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4058 loss: 1.4058 2022/06/30 15:34:04 - mmengine - INFO - Epoch(train) [83][860/3757] lr: 1.000e-04 eta: 5:05:20 time: 0.268 data_time: 0.008 memory: 6404 grad_norm: 8.4113 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1994 loss: 1.1994 2022/06/30 15:34:10 - mmengine - INFO - Epoch(train) [83][880/3757] lr: 1.000e-04 eta: 5:05:14 time: 0.463 data_time: 0.014 memory: 6404 grad_norm: 8.1874 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0663 loss: 1.0663 2022/06/30 15:34:16 - mmengine - INFO - Epoch(train) [83][900/3757] lr: 1.000e-04 eta: 5:05:09 time: 0.242 data_time: 0.013 memory: 6404 grad_norm: 7.6338 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2779 loss: 1.2779 2022/06/30 15:34:22 - mmengine - INFO - Epoch(train) [83][920/3757] lr: 1.000e-04 eta: 5:05:04 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 9.0125 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2711 loss: 1.2711 2022/06/30 15:34:24 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 15:34:28 - mmengine - INFO - Epoch(train) [83][940/3757] lr: 1.000e-04 eta: 5:04:58 time: 0.276 data_time: 0.009 memory: 6404 grad_norm: 10.2153 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.7918 loss: 0.7918 2022/06/30 15:34:33 - mmengine - INFO - Epoch(train) [83][960/3757] lr: 1.000e-04 eta: 5:04:53 time: 0.249 data_time: 0.015 memory: 6404 grad_norm: 6.9986 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9470 loss: 0.9470 2022/06/30 15:34:38 - mmengine - INFO - Epoch(train) [83][980/3757] lr: 1.000e-04 eta: 5:04:47 time: 0.255 data_time: 0.012 memory: 6404 grad_norm: 8.2102 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0788 loss: 1.0788 2022/06/30 15:34:44 - mmengine - INFO - Epoch(train) [83][1000/3757] lr: 1.000e-04 eta: 5:04:42 time: 0.260 data_time: 0.012 memory: 6404 grad_norm: 9.1065 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0679 loss: 1.0679 2022/06/30 15:34:49 - mmengine - INFO - Epoch(train) [83][1020/3757] lr: 1.000e-04 eta: 5:04:36 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 10.2068 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1112 loss: 1.1112 2022/06/30 15:34:55 - mmengine - INFO - Epoch(train) [83][1040/3757] lr: 1.000e-04 eta: 5:04:31 time: 0.247 data_time: 0.013 memory: 6404 grad_norm: 8.9629 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7981 loss: 0.7981 2022/06/30 15:35:00 - mmengine - INFO - Epoch(train) [83][1060/3757] lr: 1.000e-04 eta: 5:04:25 time: 0.261 data_time: 0.009 memory: 6404 grad_norm: 8.8104 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1052 loss: 1.1052 2022/06/30 15:35:06 - mmengine - INFO - Epoch(train) [83][1080/3757] lr: 1.000e-04 eta: 5:04:20 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 9.5191 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9190 loss: 0.9190 2022/06/30 15:35:12 - mmengine - INFO - Epoch(train) [83][1100/3757] lr: 1.000e-04 eta: 5:04:14 time: 0.301 data_time: 0.008 memory: 6404 grad_norm: 8.5061 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0363 loss: 1.0363 2022/06/30 15:35:17 - mmengine - INFO - Epoch(train) [83][1120/3757] lr: 1.000e-04 eta: 5:04:09 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 7.5597 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2911 loss: 1.2911 2022/06/30 15:35:23 - mmengine - INFO - Epoch(train) [83][1140/3757] lr: 1.000e-04 eta: 5:04:03 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 9.3526 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2392 loss: 1.2392 2022/06/30 15:35:28 - mmengine - INFO - Epoch(train) [83][1160/3757] lr: 1.000e-04 eta: 5:03:58 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 9.9491 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0074 loss: 1.0074 2022/06/30 15:35:34 - mmengine - INFO - Epoch(train) [83][1180/3757] lr: 1.000e-04 eta: 5:03:52 time: 0.255 data_time: 0.024 memory: 6404 grad_norm: 9.3803 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3180 loss: 1.3180 2022/06/30 15:35:39 - mmengine - INFO - Epoch(train) [83][1200/3757] lr: 1.000e-04 eta: 5:03:47 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 7.4406 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8645 loss: 0.8645 2022/06/30 15:35:45 - mmengine - INFO - Epoch(train) [83][1220/3757] lr: 1.000e-04 eta: 5:03:41 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 9.5508 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.6894 loss: 0.6894 2022/06/30 15:35:51 - mmengine - INFO - Epoch(train) [83][1240/3757] lr: 1.000e-04 eta: 5:03:36 time: 0.263 data_time: 0.021 memory: 6404 grad_norm: 8.2145 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0183 loss: 1.0183 2022/06/30 15:35:57 - mmengine - INFO - Epoch(train) [83][1260/3757] lr: 1.000e-04 eta: 5:03:31 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.7966 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9090 loss: 0.9090 2022/06/30 15:36:02 - mmengine - INFO - Epoch(train) [83][1280/3757] lr: 1.000e-04 eta: 5:03:25 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 9.4295 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0387 loss: 1.0387 2022/06/30 15:36:07 - mmengine - INFO - Epoch(train) [83][1300/3757] lr: 1.000e-04 eta: 5:03:20 time: 0.261 data_time: 0.015 memory: 6404 grad_norm: 9.1083 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1159 loss: 1.1159 2022/06/30 15:36:13 - mmengine - INFO - Epoch(train) [83][1320/3757] lr: 1.000e-04 eta: 5:03:14 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 8.9893 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7608 loss: 0.7608 2022/06/30 15:36:18 - mmengine - INFO - Epoch(train) [83][1340/3757] lr: 1.000e-04 eta: 5:03:08 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 6.6467 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2191 loss: 1.2191 2022/06/30 15:36:23 - mmengine - INFO - Epoch(train) [83][1360/3757] lr: 1.000e-04 eta: 5:03:03 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 8.8944 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7668 loss: 0.7668 2022/06/30 15:36:29 - mmengine - INFO - Epoch(train) [83][1380/3757] lr: 1.000e-04 eta: 5:02:57 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 9.4993 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2710 loss: 1.2710 2022/06/30 15:36:34 - mmengine - INFO - Epoch(train) [83][1400/3757] lr: 1.000e-04 eta: 5:02:52 time: 0.256 data_time: 0.015 memory: 6404 grad_norm: 6.4903 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7582 loss: 0.7582 2022/06/30 15:36:40 - mmengine - INFO - Epoch(train) [83][1420/3757] lr: 1.000e-04 eta: 5:02:46 time: 0.289 data_time: 0.011 memory: 6404 grad_norm: 8.8924 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1183 loss: 1.1183 2022/06/30 15:36:46 - mmengine - INFO - Epoch(train) [83][1440/3757] lr: 1.000e-04 eta: 5:02:41 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 9.3406 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0669 loss: 1.0669 2022/06/30 15:36:51 - mmengine - INFO - Epoch(train) [83][1460/3757] lr: 1.000e-04 eta: 5:02:36 time: 0.251 data_time: 0.023 memory: 6404 grad_norm: 8.9148 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6487 loss: 0.6487 2022/06/30 15:36:57 - mmengine - INFO - Epoch(train) [83][1480/3757] lr: 1.000e-04 eta: 5:02:30 time: 0.278 data_time: 0.014 memory: 6404 grad_norm: 7.9490 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7098 loss: 0.7098 2022/06/30 15:37:02 - mmengine - INFO - Epoch(train) [83][1500/3757] lr: 1.000e-04 eta: 5:02:25 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 10.1923 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0377 loss: 1.0377 2022/06/30 15:37:08 - mmengine - INFO - Epoch(train) [83][1520/3757] lr: 1.000e-04 eta: 5:02:19 time: 0.251 data_time: 0.023 memory: 6404 grad_norm: 8.8206 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2428 loss: 1.2428 2022/06/30 15:37:13 - mmengine - INFO - Epoch(train) [83][1540/3757] lr: 1.000e-04 eta: 5:02:14 time: 0.264 data_time: 0.010 memory: 6404 grad_norm: 8.7140 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7584 loss: 0.7584 2022/06/30 15:37:19 - mmengine - INFO - Epoch(train) [83][1560/3757] lr: 1.000e-04 eta: 5:02:08 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.7062 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1801 loss: 1.1801 2022/06/30 15:37:25 - mmengine - INFO - Epoch(train) [83][1580/3757] lr: 1.000e-04 eta: 5:02:03 time: 0.271 data_time: 0.078 memory: 6404 grad_norm: 9.9306 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1296 loss: 1.1296 2022/06/30 15:37:30 - mmengine - INFO - Epoch(train) [83][1600/3757] lr: 1.000e-04 eta: 5:01:57 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 8.8352 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7005 loss: 0.7005 2022/06/30 15:37:35 - mmengine - INFO - Epoch(train) [83][1620/3757] lr: 1.000e-04 eta: 5:01:52 time: 0.244 data_time: 0.016 memory: 6404 grad_norm: 8.8754 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2221 loss: 1.2221 2022/06/30 15:37:41 - mmengine - INFO - Epoch(train) [83][1640/3757] lr: 1.000e-04 eta: 5:01:46 time: 0.281 data_time: 0.007 memory: 6404 grad_norm: 8.5107 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0144 loss: 1.0144 2022/06/30 15:37:47 - mmengine - INFO - Epoch(train) [83][1660/3757] lr: 1.000e-04 eta: 5:01:41 time: 0.264 data_time: 0.035 memory: 6404 grad_norm: 9.0248 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0734 loss: 1.0734 2022/06/30 15:37:52 - mmengine - INFO - Epoch(train) [83][1680/3757] lr: 1.000e-04 eta: 5:01:35 time: 0.269 data_time: 0.040 memory: 6404 grad_norm: 7.8836 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2696 loss: 1.2696 2022/06/30 15:37:57 - mmengine - INFO - Epoch(train) [83][1700/3757] lr: 1.000e-04 eta: 5:01:30 time: 0.270 data_time: 0.011 memory: 6404 grad_norm: 9.1647 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2918 loss: 1.2918 2022/06/30 15:38:03 - mmengine - INFO - Epoch(train) [83][1720/3757] lr: 1.000e-04 eta: 5:01:24 time: 0.256 data_time: 0.013 memory: 6404 grad_norm: 8.8281 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2715 loss: 1.2715 2022/06/30 15:38:08 - mmengine - INFO - Epoch(train) [83][1740/3757] lr: 1.000e-04 eta: 5:01:19 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 10.1335 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2578 loss: 1.2578 2022/06/30 15:38:13 - mmengine - INFO - Epoch(train) [83][1760/3757] lr: 1.000e-04 eta: 5:01:13 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 9.8548 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8286 loss: 0.8286 2022/06/30 15:38:19 - mmengine - INFO - Epoch(train) [83][1780/3757] lr: 1.000e-04 eta: 5:01:08 time: 0.258 data_time: 0.052 memory: 6404 grad_norm: 9.7554 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0113 loss: 1.0113 2022/06/30 15:38:24 - mmengine - INFO - Epoch(train) [83][1800/3757] lr: 1.000e-04 eta: 5:01:02 time: 0.260 data_time: 0.022 memory: 6404 grad_norm: 9.9633 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8231 loss: 0.8231 2022/06/30 15:38:29 - mmengine - INFO - Epoch(train) [83][1820/3757] lr: 1.000e-04 eta: 5:00:57 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 8.7260 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1375 loss: 1.1375 2022/06/30 15:38:35 - mmengine - INFO - Epoch(train) [83][1840/3757] lr: 1.000e-04 eta: 5:00:51 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 8.5103 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0707 loss: 1.0707 2022/06/30 15:38:40 - mmengine - INFO - Epoch(train) [83][1860/3757] lr: 1.000e-04 eta: 5:00:46 time: 0.263 data_time: 0.042 memory: 6404 grad_norm: 8.1406 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2063 loss: 1.2063 2022/06/30 15:38:46 - mmengine - INFO - Epoch(train) [83][1880/3757] lr: 1.000e-04 eta: 5:00:40 time: 0.246 data_time: 0.015 memory: 6404 grad_norm: 7.3943 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6671 loss: 0.6671 2022/06/30 15:38:52 - mmengine - INFO - Epoch(train) [83][1900/3757] lr: 1.000e-04 eta: 5:00:35 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 8.9950 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0106 loss: 1.0106 2022/06/30 15:38:57 - mmengine - INFO - Epoch(train) [83][1920/3757] lr: 1.000e-04 eta: 5:00:29 time: 0.277 data_time: 0.019 memory: 6404 grad_norm: 8.8807 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2162 loss: 1.2162 2022/06/30 15:38:59 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 15:39:04 - mmengine - INFO - Epoch(train) [83][1940/3757] lr: 1.000e-04 eta: 5:00:24 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 9.8102 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9666 loss: 0.9666 2022/06/30 15:39:09 - mmengine - INFO - Epoch(train) [83][1960/3757] lr: 1.000e-04 eta: 5:00:18 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 9.0437 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7964 loss: 0.7964 2022/06/30 15:39:14 - mmengine - INFO - Epoch(train) [83][1980/3757] lr: 1.000e-04 eta: 5:00:13 time: 0.267 data_time: 0.006 memory: 6404 grad_norm: 7.3739 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1294 loss: 1.1294 2022/06/30 15:39:20 - mmengine - INFO - Epoch(train) [83][2000/3757] lr: 1.000e-04 eta: 5:00:07 time: 0.263 data_time: 0.015 memory: 6404 grad_norm: 8.7509 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9896 loss: 0.9896 2022/06/30 15:39:25 - mmengine - INFO - Epoch(train) [83][2020/3757] lr: 1.000e-04 eta: 5:00:02 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 9.9093 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1416 loss: 1.1416 2022/06/30 15:39:30 - mmengine - INFO - Epoch(train) [83][2040/3757] lr: 1.000e-04 eta: 4:59:56 time: 0.272 data_time: 0.016 memory: 6404 grad_norm: 8.9310 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8962 loss: 0.8962 2022/06/30 15:39:36 - mmengine - INFO - Epoch(train) [83][2060/3757] lr: 1.000e-04 eta: 4:59:51 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 8.8983 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7108 loss: 0.7108 2022/06/30 15:39:41 - mmengine - INFO - Epoch(train) [83][2080/3757] lr: 1.000e-04 eta: 4:59:45 time: 0.260 data_time: 0.017 memory: 6404 grad_norm: 8.7586 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9091 loss: 0.9091 2022/06/30 15:39:46 - mmengine - INFO - Epoch(train) [83][2100/3757] lr: 1.000e-04 eta: 4:59:40 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 9.5311 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8592 loss: 0.8592 2022/06/30 15:39:51 - mmengine - INFO - Epoch(train) [83][2120/3757] lr: 1.000e-04 eta: 4:59:34 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 10.3733 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8719 loss: 0.8719 2022/06/30 15:40:00 - mmengine - INFO - Epoch(train) [83][2140/3757] lr: 1.000e-04 eta: 4:59:29 time: 0.919 data_time: 0.011 memory: 6404 grad_norm: 8.8607 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9221 loss: 0.9221 2022/06/30 15:40:05 - mmengine - INFO - Epoch(train) [83][2160/3757] lr: 1.000e-04 eta: 4:59:24 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 6.6420 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9339 loss: 0.9339 2022/06/30 15:40:10 - mmengine - INFO - Epoch(train) [83][2180/3757] lr: 1.000e-04 eta: 4:59:18 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 9.1938 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1550 loss: 1.1550 2022/06/30 15:40:15 - mmengine - INFO - Epoch(train) [83][2200/3757] lr: 1.000e-04 eta: 4:59:13 time: 0.281 data_time: 0.009 memory: 6404 grad_norm: 7.5435 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1052 loss: 1.1052 2022/06/30 15:40:20 - mmengine - INFO - Epoch(train) [83][2220/3757] lr: 1.000e-04 eta: 4:59:07 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 9.1135 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0264 loss: 1.0264 2022/06/30 15:40:26 - mmengine - INFO - Epoch(train) [83][2240/3757] lr: 1.000e-04 eta: 4:59:02 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.5515 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0265 loss: 1.0265 2022/06/30 15:40:32 - mmengine - INFO - Epoch(train) [83][2260/3757] lr: 1.000e-04 eta: 4:58:56 time: 0.747 data_time: 0.007 memory: 6404 grad_norm: 8.3105 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8208 loss: 0.8208 2022/06/30 15:40:39 - mmengine - INFO - Epoch(train) [83][2280/3757] lr: 1.000e-04 eta: 4:58:51 time: 0.247 data_time: 0.033 memory: 6404 grad_norm: 9.0407 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9691 loss: 0.9691 2022/06/30 15:40:44 - mmengine - INFO - Epoch(train) [83][2300/3757] lr: 1.000e-04 eta: 4:58:45 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 9.5523 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9959 loss: 0.9959 2022/06/30 15:40:49 - mmengine - INFO - Epoch(train) [83][2320/3757] lr: 1.000e-04 eta: 4:58:40 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 8.9161 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8958 loss: 0.8958 2022/06/30 15:40:55 - mmengine - INFO - Epoch(train) [83][2340/3757] lr: 1.000e-04 eta: 4:58:34 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 7.9197 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0840 loss: 1.0840 2022/06/30 15:41:01 - mmengine - INFO - Epoch(train) [83][2360/3757] lr: 1.000e-04 eta: 4:58:29 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 7.9368 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6998 loss: 0.6998 2022/06/30 15:41:06 - mmengine - INFO - Epoch(train) [83][2380/3757] lr: 1.000e-04 eta: 4:58:23 time: 0.266 data_time: 0.011 memory: 6404 grad_norm: 9.6274 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0699 loss: 1.0699 2022/06/30 15:41:12 - mmengine - INFO - Epoch(train) [83][2400/3757] lr: 1.000e-04 eta: 4:58:18 time: 0.283 data_time: 0.010 memory: 6404 grad_norm: 8.8241 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9416 loss: 0.9416 2022/06/30 15:41:20 - mmengine - INFO - Epoch(train) [83][2420/3757] lr: 1.000e-04 eta: 4:58:13 time: 0.254 data_time: 0.016 memory: 6404 grad_norm: 9.2945 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9872 loss: 0.9872 2022/06/30 15:41:26 - mmengine - INFO - Epoch(train) [83][2440/3757] lr: 1.000e-04 eta: 4:58:08 time: 0.258 data_time: 0.013 memory: 6404 grad_norm: 8.4611 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1384 loss: 1.1384 2022/06/30 15:41:31 - mmengine - INFO - Epoch(train) [83][2460/3757] lr: 1.000e-04 eta: 4:58:02 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 9.0388 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8467 loss: 0.8467 2022/06/30 15:41:36 - mmengine - INFO - Epoch(train) [83][2480/3757] lr: 1.000e-04 eta: 4:57:57 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 7.8859 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1381 loss: 1.1381 2022/06/30 15:41:41 - mmengine - INFO - Epoch(train) [83][2500/3757] lr: 1.000e-04 eta: 4:57:51 time: 0.271 data_time: 0.024 memory: 6404 grad_norm: 9.6327 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1328 loss: 1.1328 2022/06/30 15:41:47 - mmengine - INFO - Epoch(train) [83][2520/3757] lr: 1.000e-04 eta: 4:57:45 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.6621 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1798 loss: 1.1798 2022/06/30 15:41:52 - mmengine - INFO - Epoch(train) [83][2540/3757] lr: 1.000e-04 eta: 4:57:40 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 8.9125 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3973 loss: 1.3973 2022/06/30 15:41:58 - mmengine - INFO - Epoch(train) [83][2560/3757] lr: 1.000e-04 eta: 4:57:34 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 7.8696 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9110 loss: 0.9110 2022/06/30 15:42:03 - mmengine - INFO - Epoch(train) [83][2580/3757] lr: 1.000e-04 eta: 4:57:29 time: 0.250 data_time: 0.015 memory: 6404 grad_norm: 9.2246 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9636 loss: 0.9636 2022/06/30 15:42:08 - mmengine - INFO - Epoch(train) [83][2600/3757] lr: 1.000e-04 eta: 4:57:23 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 8.8287 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9795 loss: 0.9795 2022/06/30 15:42:14 - mmengine - INFO - Epoch(train) [83][2620/3757] lr: 1.000e-04 eta: 4:57:18 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 8.2865 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7906 loss: 0.7906 2022/06/30 15:42:19 - mmengine - INFO - Epoch(train) [83][2640/3757] lr: 1.000e-04 eta: 4:57:12 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 10.0983 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2523 loss: 1.2523 2022/06/30 15:42:25 - mmengine - INFO - Epoch(train) [83][2660/3757] lr: 1.000e-04 eta: 4:57:07 time: 0.266 data_time: 0.012 memory: 6404 grad_norm: 6.8196 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0306 loss: 1.0306 2022/06/30 15:42:31 - mmengine - INFO - Epoch(train) [83][2680/3757] lr: 1.000e-04 eta: 4:57:02 time: 0.275 data_time: 0.012 memory: 6404 grad_norm: 8.7620 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2983 loss: 1.2983 2022/06/30 15:42:36 - mmengine - INFO - Epoch(train) [83][2700/3757] lr: 1.000e-04 eta: 4:56:56 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 7.3887 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0305 loss: 1.0305 2022/06/30 15:42:41 - mmengine - INFO - Epoch(train) [83][2720/3757] lr: 1.000e-04 eta: 4:56:51 time: 0.265 data_time: 0.010 memory: 6404 grad_norm: 7.3198 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1499 loss: 1.1499 2022/06/30 15:42:47 - mmengine - INFO - Epoch(train) [83][2740/3757] lr: 1.000e-04 eta: 4:56:45 time: 0.273 data_time: 0.008 memory: 6404 grad_norm: 11.3726 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2998 loss: 1.2998 2022/06/30 15:42:52 - mmengine - INFO - Epoch(train) [83][2760/3757] lr: 1.000e-04 eta: 4:56:40 time: 0.345 data_time: 0.012 memory: 6404 grad_norm: 9.0278 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0022 loss: 1.0022 2022/06/30 15:42:57 - mmengine - INFO - Epoch(train) [83][2780/3757] lr: 1.000e-04 eta: 4:56:34 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 8.7682 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0113 loss: 1.0113 2022/06/30 15:43:03 - mmengine - INFO - Epoch(train) [83][2800/3757] lr: 1.000e-04 eta: 4:56:29 time: 0.268 data_time: 0.021 memory: 6404 grad_norm: 9.7555 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1619 loss: 1.1619 2022/06/30 15:43:09 - mmengine - INFO - Epoch(train) [83][2820/3757] lr: 1.000e-04 eta: 4:56:23 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 9.2721 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0113 loss: 1.0113 2022/06/30 15:43:14 - mmengine - INFO - Epoch(train) [83][2840/3757] lr: 1.000e-04 eta: 4:56:18 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 10.0754 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0251 loss: 1.0251 2022/06/30 15:43:20 - mmengine - INFO - Epoch(train) [83][2860/3757] lr: 1.000e-04 eta: 4:56:12 time: 0.255 data_time: 0.017 memory: 6404 grad_norm: 8.8219 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8598 loss: 0.8598 2022/06/30 15:43:25 - mmengine - INFO - Epoch(train) [83][2880/3757] lr: 1.000e-04 eta: 4:56:07 time: 0.260 data_time: 0.009 memory: 6404 grad_norm: 9.0579 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0551 loss: 1.0551 2022/06/30 15:43:30 - mmengine - INFO - Epoch(train) [83][2900/3757] lr: 1.000e-04 eta: 4:56:01 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 11.3504 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1224 loss: 1.1224 2022/06/30 15:43:36 - mmengine - INFO - Epoch(train) [83][2920/3757] lr: 1.000e-04 eta: 4:55:56 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 9.2916 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9827 loss: 0.9827 2022/06/30 15:43:37 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 15:43:41 - mmengine - INFO - Epoch(train) [83][2940/3757] lr: 1.000e-04 eta: 4:55:50 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 7.4045 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0265 loss: 1.0265 2022/06/30 15:43:47 - mmengine - INFO - Epoch(train) [83][2960/3757] lr: 1.000e-04 eta: 4:55:45 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 10.9536 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0240 loss: 1.0240 2022/06/30 15:43:53 - mmengine - INFO - Epoch(train) [83][2980/3757] lr: 1.000e-04 eta: 4:55:39 time: 0.293 data_time: 0.016 memory: 6404 grad_norm: 8.6604 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8831 loss: 0.8831 2022/06/30 15:43:58 - mmengine - INFO - Epoch(train) [83][3000/3757] lr: 1.000e-04 eta: 4:55:34 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 8.0950 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1678 loss: 1.1678 2022/06/30 15:44:04 - mmengine - INFO - Epoch(train) [83][3020/3757] lr: 1.000e-04 eta: 4:55:28 time: 0.260 data_time: 0.006 memory: 6404 grad_norm: 8.3360 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9590 loss: 0.9590 2022/06/30 15:44:09 - mmengine - INFO - Epoch(train) [83][3040/3757] lr: 1.000e-04 eta: 4:55:23 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 10.0034 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9497 loss: 0.9497 2022/06/30 15:44:15 - mmengine - INFO - Epoch(train) [83][3060/3757] lr: 1.000e-04 eta: 4:55:17 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.1986 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7269 loss: 0.7269 2022/06/30 15:44:20 - mmengine - INFO - Epoch(train) [83][3080/3757] lr: 1.000e-04 eta: 4:55:12 time: 0.264 data_time: 0.010 memory: 6404 grad_norm: 9.1157 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2323 loss: 1.2323 2022/06/30 15:44:26 - mmengine - INFO - Epoch(train) [83][3100/3757] lr: 1.000e-04 eta: 4:55:06 time: 0.261 data_time: 0.012 memory: 6404 grad_norm: 9.9265 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3339 loss: 1.3339 2022/06/30 15:44:31 - mmengine - INFO - Epoch(train) [83][3120/3757] lr: 1.000e-04 eta: 4:55:01 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 7.9257 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2541 loss: 1.2541 2022/06/30 15:44:36 - mmengine - INFO - Epoch(train) [83][3140/3757] lr: 1.000e-04 eta: 4:54:55 time: 0.289 data_time: 0.097 memory: 6404 grad_norm: 10.0435 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8227 loss: 0.8227 2022/06/30 15:44:42 - mmengine - INFO - Epoch(train) [83][3160/3757] lr: 1.000e-04 eta: 4:54:50 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 8.7242 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3051 loss: 1.3051 2022/06/30 15:44:47 - mmengine - INFO - Epoch(train) [83][3180/3757] lr: 1.000e-04 eta: 4:54:44 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 9.0803 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7048 loss: 0.7048 2022/06/30 15:44:53 - mmengine - INFO - Epoch(train) [83][3200/3757] lr: 1.000e-04 eta: 4:54:39 time: 0.305 data_time: 0.026 memory: 6404 grad_norm: 7.9807 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8830 loss: 0.8830 2022/06/30 15:44:58 - mmengine - INFO - Epoch(train) [83][3220/3757] lr: 1.000e-04 eta: 4:54:33 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 12.0282 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0461 loss: 1.0461 2022/06/30 15:45:04 - mmengine - INFO - Epoch(train) [83][3240/3757] lr: 1.000e-04 eta: 4:54:28 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 9.9977 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8819 loss: 0.8819 2022/06/30 15:45:10 - mmengine - INFO - Epoch(train) [83][3260/3757] lr: 1.000e-04 eta: 4:54:22 time: 0.332 data_time: 0.133 memory: 6404 grad_norm: 7.5153 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8358 loss: 0.8358 2022/06/30 15:45:15 - mmengine - INFO - Epoch(train) [83][3280/3757] lr: 1.000e-04 eta: 4:54:17 time: 0.264 data_time: 0.011 memory: 6404 grad_norm: 8.6390 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3348 loss: 1.3348 2022/06/30 15:45:21 - mmengine - INFO - Epoch(train) [83][3300/3757] lr: 1.000e-04 eta: 4:54:11 time: 0.272 data_time: 0.009 memory: 6404 grad_norm: 8.7717 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1087 loss: 1.1087 2022/06/30 15:45:26 - mmengine - INFO - Epoch(train) [83][3320/3757] lr: 1.000e-04 eta: 4:54:06 time: 0.286 data_time: 0.020 memory: 6404 grad_norm: 10.4636 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2007 loss: 1.2007 2022/06/30 15:45:32 - mmengine - INFO - Epoch(train) [83][3340/3757] lr: 1.000e-04 eta: 4:54:00 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 10.5528 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0723 loss: 1.0723 2022/06/30 15:45:37 - mmengine - INFO - Epoch(train) [83][3360/3757] lr: 1.000e-04 eta: 4:53:55 time: 0.268 data_time: 0.008 memory: 6404 grad_norm: 8.7453 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1116 loss: 1.1116 2022/06/30 15:45:43 - mmengine - INFO - Epoch(train) [83][3380/3757] lr: 1.000e-04 eta: 4:53:49 time: 0.894 data_time: 0.018 memory: 6404 grad_norm: 7.7609 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7733 loss: 0.7733 2022/06/30 15:45:48 - mmengine - INFO - Epoch(train) [83][3400/3757] lr: 1.000e-04 eta: 4:53:44 time: 0.262 data_time: 0.012 memory: 6404 grad_norm: 7.7068 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2291 loss: 1.2291 2022/06/30 15:45:54 - mmengine - INFO - Epoch(train) [83][3420/3757] lr: 1.000e-04 eta: 4:53:38 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 9.0068 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2526 loss: 1.2526 2022/06/30 15:46:00 - mmengine - INFO - Epoch(train) [83][3440/3757] lr: 1.000e-04 eta: 4:53:33 time: 0.507 data_time: 0.023 memory: 6404 grad_norm: 8.2885 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2048 loss: 1.2048 2022/06/30 15:46:05 - mmengine - INFO - Epoch(train) [83][3460/3757] lr: 1.000e-04 eta: 4:53:27 time: 0.238 data_time: 0.008 memory: 6404 grad_norm: 9.1173 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1055 loss: 1.1055 2022/06/30 15:46:10 - mmengine - INFO - Epoch(train) [83][3480/3757] lr: 1.000e-04 eta: 4:53:22 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 9.6972 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0294 loss: 1.0294 2022/06/30 15:46:16 - mmengine - INFO - Epoch(train) [83][3500/3757] lr: 1.000e-04 eta: 4:53:16 time: 0.405 data_time: 0.023 memory: 6404 grad_norm: 7.1890 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0130 loss: 1.0130 2022/06/30 15:46:21 - mmengine - INFO - Epoch(train) [83][3520/3757] lr: 1.000e-04 eta: 4:53:11 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 8.0959 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2111 loss: 1.2111 2022/06/30 15:46:28 - mmengine - INFO - Epoch(train) [83][3540/3757] lr: 1.000e-04 eta: 4:53:06 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 7.6503 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4527 loss: 1.4527 2022/06/30 15:46:33 - mmengine - INFO - Epoch(train) [83][3560/3757] lr: 1.000e-04 eta: 4:53:00 time: 0.254 data_time: 0.020 memory: 6404 grad_norm: 8.7215 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6053 loss: 0.6053 2022/06/30 15:46:38 - mmengine - INFO - Epoch(train) [83][3580/3757] lr: 1.000e-04 eta: 4:52:54 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 9.3862 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8963 loss: 0.8963 2022/06/30 15:46:43 - mmengine - INFO - Epoch(train) [83][3600/3757] lr: 1.000e-04 eta: 4:52:49 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 7.5275 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6417 loss: 0.6417 2022/06/30 15:46:49 - mmengine - INFO - Epoch(train) [83][3620/3757] lr: 1.000e-04 eta: 4:52:43 time: 0.254 data_time: 0.019 memory: 6404 grad_norm: 10.0863 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0845 loss: 1.0845 2022/06/30 15:46:54 - mmengine - INFO - Epoch(train) [83][3640/3757] lr: 1.000e-04 eta: 4:52:38 time: 0.285 data_time: 0.012 memory: 6404 grad_norm: 7.9311 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9369 loss: 0.9369 2022/06/30 15:46:59 - mmengine - INFO - Epoch(train) [83][3660/3757] lr: 1.000e-04 eta: 4:52:32 time: 0.261 data_time: 0.009 memory: 6404 grad_norm: 9.0392 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0437 loss: 1.0437 2022/06/30 15:47:05 - mmengine - INFO - Epoch(train) [83][3680/3757] lr: 1.000e-04 eta: 4:52:27 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 8.0351 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9335 loss: 0.9335 2022/06/30 15:47:10 - mmengine - INFO - Epoch(train) [83][3700/3757] lr: 1.000e-04 eta: 4:52:21 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.8296 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9519 loss: 0.9519 2022/06/30 15:47:16 - mmengine - INFO - Epoch(train) [83][3720/3757] lr: 1.000e-04 eta: 4:52:16 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 7.8410 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0583 loss: 1.0583 2022/06/30 15:47:21 - mmengine - INFO - Epoch(train) [83][3740/3757] lr: 1.000e-04 eta: 4:52:10 time: 0.271 data_time: 0.016 memory: 6404 grad_norm: 9.1734 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8733 loss: 0.8733 2022/06/30 15:47:26 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 15:47:33 - mmengine - INFO - Epoch(val) [83][20/310] eta: 0:01:20 time: 0.110 data_time: 0.018 memory: 6404 2022/06/30 15:47:39 - mmengine - INFO - Epoch(val) [83][40/310] eta: 0:01:20 time: 0.530 data_time: 0.450 memory: 1479 2022/06/30 15:47:42 - mmengine - INFO - Epoch(val) [83][60/310] eta: 0:00:30 time: 0.084 data_time: 0.007 memory: 1479 2022/06/30 15:47:49 - mmengine - INFO - Epoch(val) [83][80/310] eta: 0:01:13 time: 0.085 data_time: 0.006 memory: 1479 2022/06/30 15:47:55 - mmengine - INFO - Epoch(val) [83][100/310] eta: 0:01:04 time: 1.220 data_time: 1.138 memory: 1479 2022/06/30 15:47:58 - mmengine - INFO - Epoch(val) [83][120/310] eta: 0:00:26 time: 0.087 data_time: 0.006 memory: 1479 2022/06/30 15:48:05 - mmengine - INFO - Epoch(val) [83][140/310] eta: 0:00:39 time: 0.091 data_time: 0.011 memory: 1479 2022/06/30 15:48:09 - mmengine - INFO - Epoch(val) [83][160/310] eta: 0:00:28 time: 0.084 data_time: 0.005 memory: 1479 2022/06/30 15:48:15 - mmengine - INFO - Epoch(val) [83][180/310] eta: 0:00:35 time: 0.081 data_time: 0.005 memory: 1479 2022/06/30 15:48:20 - mmengine - INFO - Epoch(val) [83][200/310] eta: 0:00:30 time: 0.090 data_time: 0.014 memory: 1479 2022/06/30 15:48:25 - mmengine - INFO - Epoch(val) [83][220/310] eta: 0:00:14 time: 0.083 data_time: 0.005 memory: 1479 2022/06/30 15:48:30 - mmengine - INFO - Epoch(val) [83][240/310] eta: 0:00:18 time: 0.088 data_time: 0.005 memory: 1479 2022/06/30 15:48:36 - mmengine - INFO - Epoch(val) [83][260/310] eta: 0:00:13 time: 0.080 data_time: 0.006 memory: 1479 2022/06/30 15:48:40 - mmengine - INFO - Epoch(val) [83][280/310] eta: 0:00:03 time: 0.083 data_time: 0.005 memory: 1479 2022/06/30 15:48:46 - mmengine - INFO - Epoch(val) [83][300/310] eta: 0:00:02 time: 0.086 data_time: 0.006 memory: 1479 2022/06/30 15:48:50 - mmengine - INFO - Epoch(val) [83][310/310] acc/top1: 0.6748 acc/top5: 0.8709 acc/mean1: 0.6747 2022/06/30 15:48:59 - mmengine - INFO - Epoch(train) [84][20/3757] lr: 1.000e-04 eta: 4:52:01 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 8.8922 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7276 loss: 0.7276 2022/06/30 15:49:04 - mmengine - INFO - Epoch(train) [84][40/3757] lr: 1.000e-04 eta: 4:51:55 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 9.8615 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9673 loss: 0.9673 2022/06/30 15:49:10 - mmengine - INFO - Epoch(train) [84][60/3757] lr: 1.000e-04 eta: 4:51:50 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.6083 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0665 loss: 1.0665 2022/06/30 15:49:15 - mmengine - INFO - Epoch(train) [84][80/3757] lr: 1.000e-04 eta: 4:51:44 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 9.3871 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9167 loss: 0.9167 2022/06/30 15:49:21 - mmengine - INFO - Epoch(train) [84][100/3757] lr: 1.000e-04 eta: 4:51:39 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 7.1526 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1085 loss: 1.1085 2022/06/30 15:49:26 - mmengine - INFO - Epoch(train) [84][120/3757] lr: 1.000e-04 eta: 4:51:33 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 8.0108 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9432 loss: 0.9432 2022/06/30 15:49:31 - mmengine - INFO - Epoch(train) [84][140/3757] lr: 1.000e-04 eta: 4:51:28 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 7.8213 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1057 loss: 1.1057 2022/06/30 15:49:38 - mmengine - INFO - Epoch(train) [84][160/3757] lr: 1.000e-04 eta: 4:51:22 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 8.7829 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8608 loss: 0.8608 2022/06/30 15:49:40 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 15:49:43 - mmengine - INFO - Epoch(train) [84][180/3757] lr: 1.000e-04 eta: 4:51:17 time: 0.281 data_time: 0.011 memory: 6404 grad_norm: 8.5155 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0330 loss: 1.0330 2022/06/30 15:49:48 - mmengine - INFO - Epoch(train) [84][200/3757] lr: 1.000e-04 eta: 4:51:11 time: 0.265 data_time: 0.018 memory: 6404 grad_norm: 7.4954 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9555 loss: 0.9555 2022/06/30 15:49:54 - mmengine - INFO - Epoch(train) [84][220/3757] lr: 1.000e-04 eta: 4:51:06 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.1252 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4985 loss: 1.4985 2022/06/30 15:49:59 - mmengine - INFO - Epoch(train) [84][240/3757] lr: 1.000e-04 eta: 4:51:00 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 8.0262 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1311 loss: 1.1311 2022/06/30 15:50:04 - mmengine - INFO - Epoch(train) [84][260/3757] lr: 1.000e-04 eta: 4:50:55 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 10.2941 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6744 loss: 0.6744 2022/06/30 15:50:10 - mmengine - INFO - Epoch(train) [84][280/3757] lr: 1.000e-04 eta: 4:50:49 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.6567 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.8511 loss: 0.8511 2022/06/30 15:50:17 - mmengine - INFO - Epoch(train) [84][300/3757] lr: 1.000e-04 eta: 4:50:44 time: 0.262 data_time: 0.015 memory: 6404 grad_norm: 7.1468 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1749 loss: 1.1749 2022/06/30 15:50:22 - mmengine - INFO - Epoch(train) [84][320/3757] lr: 1.000e-04 eta: 4:50:38 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 8.4138 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9957 loss: 0.9957 2022/06/30 15:50:27 - mmengine - INFO - Epoch(train) [84][340/3757] lr: 1.000e-04 eta: 4:50:33 time: 0.266 data_time: 0.006 memory: 6404 grad_norm: 8.7366 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8948 loss: 0.8948 2022/06/30 15:50:32 - mmengine - INFO - Epoch(train) [84][360/3757] lr: 1.000e-04 eta: 4:50:27 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 10.8889 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8175 loss: 0.8175 2022/06/30 15:50:38 - mmengine - INFO - Epoch(train) [84][380/3757] lr: 1.000e-04 eta: 4:50:22 time: 0.282 data_time: 0.017 memory: 6404 grad_norm: 9.7334 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2497 loss: 1.2497 2022/06/30 15:50:43 - mmengine - INFO - Epoch(train) [84][400/3757] lr: 1.000e-04 eta: 4:50:16 time: 0.274 data_time: 0.006 memory: 6404 grad_norm: 8.4619 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1799 loss: 1.1799 2022/06/30 15:50:48 - mmengine - INFO - Epoch(train) [84][420/3757] lr: 1.000e-04 eta: 4:50:11 time: 0.247 data_time: 0.022 memory: 6404 grad_norm: 10.3121 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9057 loss: 0.9057 2022/06/30 15:50:54 - mmengine - INFO - Epoch(train) [84][440/3757] lr: 1.000e-04 eta: 4:50:05 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 8.8032 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7731 loss: 0.7731 2022/06/30 15:50:59 - mmengine - INFO - Epoch(train) [84][460/3757] lr: 1.000e-04 eta: 4:50:00 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 6.8822 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9793 loss: 0.9793 2022/06/30 15:51:04 - mmengine - INFO - Epoch(train) [84][480/3757] lr: 1.000e-04 eta: 4:49:54 time: 0.252 data_time: 0.019 memory: 6404 grad_norm: 9.3967 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8428 loss: 0.8428 2022/06/30 15:51:09 - mmengine - INFO - Epoch(train) [84][500/3757] lr: 1.000e-04 eta: 4:49:49 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 11.8156 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0682 loss: 1.0682 2022/06/30 15:51:15 - mmengine - INFO - Epoch(train) [84][520/3757] lr: 1.000e-04 eta: 4:49:43 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 9.2807 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3641 loss: 1.3641 2022/06/30 15:51:20 - mmengine - INFO - Epoch(train) [84][540/3757] lr: 1.000e-04 eta: 4:49:38 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 7.9260 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0722 loss: 1.0722 2022/06/30 15:51:26 - mmengine - INFO - Epoch(train) [84][560/3757] lr: 1.000e-04 eta: 4:49:32 time: 0.263 data_time: 0.020 memory: 6404 grad_norm: 8.0291 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0467 loss: 1.0467 2022/06/30 15:51:31 - mmengine - INFO - Epoch(train) [84][580/3757] lr: 1.000e-04 eta: 4:49:27 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 9.0260 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0089 loss: 1.0089 2022/06/30 15:51:37 - mmengine - INFO - Epoch(train) [84][600/3757] lr: 1.000e-04 eta: 4:49:21 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 7.5811 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2042 loss: 1.2042 2022/06/30 15:51:42 - mmengine - INFO - Epoch(train) [84][620/3757] lr: 1.000e-04 eta: 4:49:16 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 9.4990 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0433 loss: 1.0433 2022/06/30 15:51:48 - mmengine - INFO - Epoch(train) [84][640/3757] lr: 1.000e-04 eta: 4:49:10 time: 0.304 data_time: 0.010 memory: 6404 grad_norm: 9.4722 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8038 loss: 0.8038 2022/06/30 15:51:54 - mmengine - INFO - Epoch(train) [84][660/3757] lr: 1.000e-04 eta: 4:49:05 time: 0.251 data_time: 0.017 memory: 6404 grad_norm: 9.9842 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4245 loss: 1.4245 2022/06/30 15:51:59 - mmengine - INFO - Epoch(train) [84][680/3757] lr: 1.000e-04 eta: 4:48:59 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 9.1923 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9216 loss: 0.9216 2022/06/30 15:52:04 - mmengine - INFO - Epoch(train) [84][700/3757] lr: 1.000e-04 eta: 4:48:54 time: 0.268 data_time: 0.019 memory: 6404 grad_norm: 8.3169 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1267 loss: 1.1267 2022/06/30 15:52:10 - mmengine - INFO - Epoch(train) [84][720/3757] lr: 1.000e-04 eta: 4:48:48 time: 0.252 data_time: 0.024 memory: 6404 grad_norm: 7.7734 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0744 loss: 1.0744 2022/06/30 15:52:15 - mmengine - INFO - Epoch(train) [84][740/3757] lr: 1.000e-04 eta: 4:48:43 time: 0.262 data_time: 0.016 memory: 6404 grad_norm: 9.7664 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1468 loss: 1.1468 2022/06/30 15:52:21 - mmengine - INFO - Epoch(train) [84][760/3757] lr: 1.000e-04 eta: 4:48:37 time: 0.264 data_time: 0.011 memory: 6404 grad_norm: 9.5240 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2992 loss: 1.2992 2022/06/30 15:52:26 - mmengine - INFO - Epoch(train) [84][780/3757] lr: 1.000e-04 eta: 4:48:32 time: 0.259 data_time: 0.015 memory: 6404 grad_norm: 9.8808 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9694 loss: 0.9694 2022/06/30 15:52:32 - mmengine - INFO - Epoch(train) [84][800/3757] lr: 1.000e-04 eta: 4:48:26 time: 0.279 data_time: 0.010 memory: 6404 grad_norm: 9.2942 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0084 loss: 1.0084 2022/06/30 15:52:37 - mmengine - INFO - Epoch(train) [84][820/3757] lr: 1.000e-04 eta: 4:48:21 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 8.8185 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4402 loss: 1.4402 2022/06/30 15:52:42 - mmengine - INFO - Epoch(train) [84][840/3757] lr: 1.000e-04 eta: 4:48:15 time: 0.256 data_time: 0.018 memory: 6404 grad_norm: 7.0710 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2891 loss: 1.2891 2022/06/30 15:52:48 - mmengine - INFO - Epoch(train) [84][860/3757] lr: 1.000e-04 eta: 4:48:10 time: 0.291 data_time: 0.051 memory: 6404 grad_norm: 9.3097 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8035 loss: 0.8035 2022/06/30 15:52:54 - mmengine - INFO - Epoch(train) [84][880/3757] lr: 1.000e-04 eta: 4:48:04 time: 0.740 data_time: 0.007 memory: 6404 grad_norm: 8.3277 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0232 loss: 1.0232 2022/06/30 15:52:59 - mmengine - INFO - Epoch(train) [84][900/3757] lr: 1.000e-04 eta: 4:47:59 time: 0.279 data_time: 0.015 memory: 6404 grad_norm: 9.8653 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0382 loss: 1.0382 2022/06/30 15:53:05 - mmengine - INFO - Epoch(train) [84][920/3757] lr: 1.000e-04 eta: 4:47:53 time: 0.286 data_time: 0.011 memory: 6404 grad_norm: 10.0415 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9573 loss: 0.9573 2022/06/30 15:53:11 - mmengine - INFO - Epoch(train) [84][940/3757] lr: 1.000e-04 eta: 4:47:48 time: 0.521 data_time: 0.009 memory: 6404 grad_norm: 7.4126 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6912 loss: 0.6912 2022/06/30 15:53:16 - mmengine - INFO - Epoch(train) [84][960/3757] lr: 1.000e-04 eta: 4:47:42 time: 0.267 data_time: 0.013 memory: 6404 grad_norm: 7.3956 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6858 loss: 1.6858 2022/06/30 15:53:21 - mmengine - INFO - Epoch(train) [84][980/3757] lr: 1.000e-04 eta: 4:47:37 time: 0.260 data_time: 0.009 memory: 6404 grad_norm: 9.9953 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2710 loss: 1.2710 2022/06/30 15:53:27 - mmengine - INFO - Epoch(train) [84][1000/3757] lr: 1.000e-04 eta: 4:47:31 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 7.2791 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7740 loss: 0.7740 2022/06/30 15:53:32 - mmengine - INFO - Epoch(train) [84][1020/3757] lr: 1.000e-04 eta: 4:47:26 time: 0.252 data_time: 0.023 memory: 6404 grad_norm: 9.1351 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2825 loss: 1.2825 2022/06/30 15:53:39 - mmengine - INFO - Epoch(train) [84][1040/3757] lr: 1.000e-04 eta: 4:47:21 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 8.7877 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2284 loss: 1.2284 2022/06/30 15:53:44 - mmengine - INFO - Epoch(train) [84][1060/3757] lr: 1.000e-04 eta: 4:47:15 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 9.3922 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0813 loss: 1.0813 2022/06/30 15:53:49 - mmengine - INFO - Epoch(train) [84][1080/3757] lr: 1.000e-04 eta: 4:47:09 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 9.6077 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9667 loss: 0.9667 2022/06/30 15:53:55 - mmengine - INFO - Epoch(train) [84][1100/3757] lr: 1.000e-04 eta: 4:47:04 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 11.0322 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6965 loss: 0.6965 2022/06/30 15:54:00 - mmengine - INFO - Epoch(train) [84][1120/3757] lr: 1.000e-04 eta: 4:46:58 time: 0.255 data_time: 0.014 memory: 6404 grad_norm: 7.0755 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8097 loss: 0.8097 2022/06/30 15:54:05 - mmengine - INFO - Epoch(train) [84][1140/3757] lr: 1.000e-04 eta: 4:46:53 time: 0.252 data_time: 0.017 memory: 6404 grad_norm: 9.6570 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7752 loss: 0.7752 2022/06/30 15:54:10 - mmengine - INFO - Epoch(train) [84][1160/3757] lr: 1.000e-04 eta: 4:46:47 time: 0.261 data_time: 0.019 memory: 6404 grad_norm: 9.1883 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2276 loss: 1.2276 2022/06/30 15:54:13 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 15:54:16 - mmengine - INFO - Epoch(train) [84][1180/3757] lr: 1.000e-04 eta: 4:46:42 time: 0.263 data_time: 0.010 memory: 6404 grad_norm: 10.0714 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8700 loss: 0.8700 2022/06/30 15:54:21 - mmengine - INFO - Epoch(train) [84][1200/3757] lr: 1.000e-04 eta: 4:46:36 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 9.7522 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.8637 loss: 0.8637 2022/06/30 15:54:27 - mmengine - INFO - Epoch(train) [84][1220/3757] lr: 1.000e-04 eta: 4:46:31 time: 0.263 data_time: 0.024 memory: 6404 grad_norm: 9.5318 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1221 loss: 1.1221 2022/06/30 15:54:32 - mmengine - INFO - Epoch(train) [84][1240/3757] lr: 1.000e-04 eta: 4:46:25 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 9.3072 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1746 loss: 1.1746 2022/06/30 15:54:37 - mmengine - INFO - Epoch(train) [84][1260/3757] lr: 1.000e-04 eta: 4:46:20 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 9.6452 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8485 loss: 0.8485 2022/06/30 15:54:43 - mmengine - INFO - Epoch(train) [84][1280/3757] lr: 1.000e-04 eta: 4:46:14 time: 0.257 data_time: 0.023 memory: 6404 grad_norm: 9.3917 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9215 loss: 0.9215 2022/06/30 15:54:49 - mmengine - INFO - Epoch(train) [84][1300/3757] lr: 1.000e-04 eta: 4:46:09 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 8.9481 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1044 loss: 1.1044 2022/06/30 15:54:54 - mmengine - INFO - Epoch(train) [84][1320/3757] lr: 1.000e-04 eta: 4:46:03 time: 0.266 data_time: 0.010 memory: 6404 grad_norm: 10.0771 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.7212 loss: 0.7212 2022/06/30 15:54:59 - mmengine - INFO - Epoch(train) [84][1340/3757] lr: 1.000e-04 eta: 4:45:58 time: 0.256 data_time: 0.024 memory: 6404 grad_norm: 8.0895 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0935 loss: 1.0935 2022/06/30 15:55:05 - mmengine - INFO - Epoch(train) [84][1360/3757] lr: 1.000e-04 eta: 4:45:52 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 10.7021 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2432 loss: 1.2432 2022/06/30 15:55:10 - mmengine - INFO - Epoch(train) [84][1380/3757] lr: 1.000e-04 eta: 4:45:47 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 9.0194 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8550 loss: 0.8550 2022/06/30 15:55:16 - mmengine - INFO - Epoch(train) [84][1400/3757] lr: 1.000e-04 eta: 4:45:41 time: 0.267 data_time: 0.022 memory: 6404 grad_norm: 7.7443 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8328 loss: 0.8328 2022/06/30 15:55:22 - mmengine - INFO - Epoch(train) [84][1420/3757] lr: 1.000e-04 eta: 4:45:36 time: 0.289 data_time: 0.007 memory: 6404 grad_norm: 8.0865 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0386 loss: 1.0386 2022/06/30 15:55:28 - mmengine - INFO - Epoch(train) [84][1440/3757] lr: 1.000e-04 eta: 4:45:30 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 9.5462 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6993 loss: 0.6993 2022/06/30 15:55:33 - mmengine - INFO - Epoch(train) [84][1460/3757] lr: 1.000e-04 eta: 4:45:25 time: 0.569 data_time: 0.016 memory: 6404 grad_norm: 8.2945 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1569 loss: 1.1569 2022/06/30 15:55:39 - mmengine - INFO - Epoch(train) [84][1480/3757] lr: 1.000e-04 eta: 4:45:19 time: 0.303 data_time: 0.007 memory: 6404 grad_norm: 8.7720 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0006 loss: 1.0006 2022/06/30 15:55:44 - mmengine - INFO - Epoch(train) [84][1500/3757] lr: 1.000e-04 eta: 4:45:14 time: 0.259 data_time: 0.012 memory: 6404 grad_norm: 9.7591 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9366 loss: 0.9366 2022/06/30 15:55:49 - mmengine - INFO - Epoch(train) [84][1520/3757] lr: 1.000e-04 eta: 4:45:08 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 8.4229 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9268 loss: 0.9268 2022/06/30 15:55:54 - mmengine - INFO - Epoch(train) [84][1540/3757] lr: 1.000e-04 eta: 4:45:03 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 7.8488 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2246 loss: 1.2246 2022/06/30 15:56:00 - mmengine - INFO - Epoch(train) [84][1560/3757] lr: 1.000e-04 eta: 4:44:57 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.3742 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8660 loss: 0.8660 2022/06/30 15:56:05 - mmengine - INFO - Epoch(train) [84][1580/3757] lr: 1.000e-04 eta: 4:44:52 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 8.8271 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9496 loss: 0.9496 2022/06/30 15:56:10 - mmengine - INFO - Epoch(train) [84][1600/3757] lr: 1.000e-04 eta: 4:44:46 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 10.0992 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.8394 loss: 0.8394 2022/06/30 15:56:16 - mmengine - INFO - Epoch(train) [84][1620/3757] lr: 1.000e-04 eta: 4:44:41 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 9.9672 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1890 loss: 1.1890 2022/06/30 15:56:21 - mmengine - INFO - Epoch(train) [84][1640/3757] lr: 1.000e-04 eta: 4:44:35 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.3235 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2541 loss: 1.2541 2022/06/30 15:56:27 - mmengine - INFO - Epoch(train) [84][1660/3757] lr: 1.000e-04 eta: 4:44:30 time: 0.274 data_time: 0.008 memory: 6404 grad_norm: 10.5005 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0290 loss: 1.0290 2022/06/30 15:56:32 - mmengine - INFO - Epoch(train) [84][1680/3757] lr: 1.000e-04 eta: 4:44:24 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 8.2349 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9342 loss: 0.9342 2022/06/30 15:56:38 - mmengine - INFO - Epoch(train) [84][1700/3757] lr: 1.000e-04 eta: 4:44:19 time: 0.431 data_time: 0.008 memory: 6404 grad_norm: 9.1557 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0556 loss: 1.0556 2022/06/30 15:56:43 - mmengine - INFO - Epoch(train) [84][1720/3757] lr: 1.000e-04 eta: 4:44:13 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 9.3402 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2830 loss: 1.2830 2022/06/30 15:56:49 - mmengine - INFO - Epoch(train) [84][1740/3757] lr: 1.000e-04 eta: 4:44:08 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 7.5934 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7686 loss: 0.7686 2022/06/30 15:56:54 - mmengine - INFO - Epoch(train) [84][1760/3757] lr: 1.000e-04 eta: 4:44:02 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 7.9770 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9272 loss: 0.9272 2022/06/30 15:56:59 - mmengine - INFO - Epoch(train) [84][1780/3757] lr: 1.000e-04 eta: 4:43:57 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 11.0078 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1428 loss: 1.1428 2022/06/30 15:57:05 - mmengine - INFO - Epoch(train) [84][1800/3757] lr: 1.000e-04 eta: 4:43:51 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 7.7348 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0224 loss: 1.0224 2022/06/30 15:57:10 - mmengine - INFO - Epoch(train) [84][1820/3757] lr: 1.000e-04 eta: 4:43:46 time: 0.275 data_time: 0.007 memory: 6404 grad_norm: 8.8434 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0012 loss: 1.0012 2022/06/30 15:57:16 - mmengine - INFO - Epoch(train) [84][1840/3757] lr: 1.000e-04 eta: 4:43:40 time: 0.263 data_time: 0.008 memory: 6404 grad_norm: 9.9023 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8407 loss: 0.8407 2022/06/30 15:57:21 - mmengine - INFO - Epoch(train) [84][1860/3757] lr: 1.000e-04 eta: 4:43:35 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.9055 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9959 loss: 0.9959 2022/06/30 15:57:27 - mmengine - INFO - Epoch(train) [84][1880/3757] lr: 1.000e-04 eta: 4:43:29 time: 0.278 data_time: 0.010 memory: 6404 grad_norm: 10.2835 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2361 loss: 1.2361 2022/06/30 15:57:32 - mmengine - INFO - Epoch(train) [84][1900/3757] lr: 1.000e-04 eta: 4:43:24 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 9.4323 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9347 loss: 0.9347 2022/06/30 15:57:38 - mmengine - INFO - Epoch(train) [84][1920/3757] lr: 1.000e-04 eta: 4:43:18 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 7.7642 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0278 loss: 1.0278 2022/06/30 15:57:43 - mmengine - INFO - Epoch(train) [84][1940/3757] lr: 1.000e-04 eta: 4:43:13 time: 0.279 data_time: 0.008 memory: 6404 grad_norm: 8.2154 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0488 loss: 1.0488 2022/06/30 15:57:49 - mmengine - INFO - Epoch(train) [84][1960/3757] lr: 1.000e-04 eta: 4:43:07 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 8.0657 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0474 loss: 1.0474 2022/06/30 15:57:55 - mmengine - INFO - Epoch(train) [84][1980/3757] lr: 1.000e-04 eta: 4:43:02 time: 0.257 data_time: 0.021 memory: 6404 grad_norm: 10.3708 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0162 loss: 1.0162 2022/06/30 15:58:00 - mmengine - INFO - Epoch(train) [84][2000/3757] lr: 1.000e-04 eta: 4:42:56 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 9.5902 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.3453 loss: 1.3453 2022/06/30 15:58:05 - mmengine - INFO - Epoch(train) [84][2020/3757] lr: 1.000e-04 eta: 4:42:51 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 9.3544 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9413 loss: 0.9413 2022/06/30 15:58:11 - mmengine - INFO - Epoch(train) [84][2040/3757] lr: 1.000e-04 eta: 4:42:45 time: 0.255 data_time: 0.019 memory: 6404 grad_norm: 9.7067 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7497 loss: 0.7497 2022/06/30 15:58:16 - mmengine - INFO - Epoch(train) [84][2060/3757] lr: 1.000e-04 eta: 4:42:40 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.2654 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0510 loss: 1.0510 2022/06/30 15:58:21 - mmengine - INFO - Epoch(train) [84][2080/3757] lr: 1.000e-04 eta: 4:42:34 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 9.5315 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3693 loss: 1.3693 2022/06/30 15:58:26 - mmengine - INFO - Epoch(train) [84][2100/3757] lr: 1.000e-04 eta: 4:42:29 time: 0.259 data_time: 0.026 memory: 6404 grad_norm: 8.8706 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8733 loss: 0.8733 2022/06/30 15:58:32 - mmengine - INFO - Epoch(train) [84][2120/3757] lr: 1.000e-04 eta: 4:42:23 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 6.3813 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2747 loss: 1.2747 2022/06/30 15:58:38 - mmengine - INFO - Epoch(train) [84][2140/3757] lr: 1.000e-04 eta: 4:42:18 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 10.2294 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0588 loss: 1.0588 2022/06/30 15:58:43 - mmengine - INFO - Epoch(train) [84][2160/3757] lr: 1.000e-04 eta: 4:42:12 time: 0.262 data_time: 0.013 memory: 6404 grad_norm: 8.8086 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7483 loss: 0.7483 2022/06/30 15:58:46 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 15:58:49 - mmengine - INFO - Epoch(train) [84][2180/3757] lr: 1.000e-04 eta: 4:42:07 time: 0.260 data_time: 0.012 memory: 6404 grad_norm: 5.9617 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8712 loss: 0.8712 2022/06/30 15:58:54 - mmengine - INFO - Epoch(train) [84][2200/3757] lr: 1.000e-04 eta: 4:42:01 time: 0.260 data_time: 0.016 memory: 6404 grad_norm: 10.6850 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4532 loss: 1.4532 2022/06/30 15:59:00 - mmengine - INFO - Epoch(train) [84][2220/3757] lr: 1.000e-04 eta: 4:41:56 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.8895 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8221 loss: 0.8221 2022/06/30 15:59:05 - mmengine - INFO - Epoch(train) [84][2240/3757] lr: 1.000e-04 eta: 4:41:50 time: 0.278 data_time: 0.007 memory: 6404 grad_norm: 10.0816 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7925 loss: 0.7925 2022/06/30 15:59:11 - mmengine - INFO - Epoch(train) [84][2260/3757] lr: 1.000e-04 eta: 4:41:45 time: 0.249 data_time: 0.020 memory: 6404 grad_norm: 10.0745 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2858 loss: 1.2858 2022/06/30 15:59:16 - mmengine - INFO - Epoch(train) [84][2280/3757] lr: 1.000e-04 eta: 4:41:39 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 10.2909 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1722 loss: 1.1722 2022/06/30 15:59:21 - mmengine - INFO - Epoch(train) [84][2300/3757] lr: 1.000e-04 eta: 4:41:34 time: 0.267 data_time: 0.010 memory: 6404 grad_norm: 8.7242 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1025 loss: 1.1025 2022/06/30 15:59:27 - mmengine - INFO - Epoch(train) [84][2320/3757] lr: 1.000e-04 eta: 4:41:28 time: 0.246 data_time: 0.046 memory: 6404 grad_norm: 9.8268 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7943 loss: 0.7943 2022/06/30 15:59:33 - mmengine - INFO - Epoch(train) [84][2340/3757] lr: 1.000e-04 eta: 4:41:23 time: 0.249 data_time: 0.015 memory: 6404 grad_norm: 7.5439 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8232 loss: 0.8232 2022/06/30 15:59:38 - mmengine - INFO - Epoch(train) [84][2360/3757] lr: 1.000e-04 eta: 4:41:17 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 8.0301 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0517 loss: 1.0517 2022/06/30 15:59:43 - mmengine - INFO - Epoch(train) [84][2380/3757] lr: 1.000e-04 eta: 4:41:12 time: 0.251 data_time: 0.019 memory: 6404 grad_norm: 9.4422 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0147 loss: 1.0147 2022/06/30 15:59:49 - mmengine - INFO - Epoch(train) [84][2400/3757] lr: 1.000e-04 eta: 4:41:06 time: 0.250 data_time: 0.045 memory: 6404 grad_norm: 7.8208 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0966 loss: 1.0966 2022/06/30 15:59:54 - mmengine - INFO - Epoch(train) [84][2420/3757] lr: 1.000e-04 eta: 4:41:01 time: 0.253 data_time: 0.017 memory: 6404 grad_norm: 7.3826 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2713 loss: 1.2713 2022/06/30 16:00:00 - mmengine - INFO - Epoch(train) [84][2440/3757] lr: 1.000e-04 eta: 4:40:55 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 7.8727 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0302 loss: 1.0302 2022/06/30 16:00:06 - mmengine - INFO - Epoch(train) [84][2460/3757] lr: 1.000e-04 eta: 4:40:50 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 9.0596 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0294 loss: 1.0294 2022/06/30 16:00:11 - mmengine - INFO - Epoch(train) [84][2480/3757] lr: 1.000e-04 eta: 4:40:45 time: 0.256 data_time: 0.015 memory: 6404 grad_norm: 7.0789 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9448 loss: 0.9448 2022/06/30 16:00:17 - mmengine - INFO - Epoch(train) [84][2500/3757] lr: 1.000e-04 eta: 4:40:39 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 7.3806 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9950 loss: 0.9950 2022/06/30 16:00:22 - mmengine - INFO - Epoch(train) [84][2520/3757] lr: 1.000e-04 eta: 4:40:33 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 7.6076 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9526 loss: 0.9526 2022/06/30 16:00:27 - mmengine - INFO - Epoch(train) [84][2540/3757] lr: 1.000e-04 eta: 4:40:28 time: 0.275 data_time: 0.018 memory: 6404 grad_norm: 8.9200 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9401 loss: 0.9401 2022/06/30 16:00:33 - mmengine - INFO - Epoch(train) [84][2560/3757] lr: 1.000e-04 eta: 4:40:22 time: 0.280 data_time: 0.011 memory: 6404 grad_norm: 8.9501 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9669 loss: 0.9669 2022/06/30 16:00:38 - mmengine - INFO - Epoch(train) [84][2580/3757] lr: 1.000e-04 eta: 4:40:17 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 8.6987 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8593 loss: 0.8593 2022/06/30 16:00:43 - mmengine - INFO - Epoch(train) [84][2600/3757] lr: 1.000e-04 eta: 4:40:11 time: 0.265 data_time: 0.010 memory: 6404 grad_norm: 7.6749 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0408 loss: 1.0408 2022/06/30 16:00:49 - mmengine - INFO - Epoch(train) [84][2620/3757] lr: 1.000e-04 eta: 4:40:06 time: 0.260 data_time: 0.026 memory: 6404 grad_norm: 10.9768 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0253 loss: 1.0253 2022/06/30 16:00:55 - mmengine - INFO - Epoch(train) [84][2640/3757] lr: 1.000e-04 eta: 4:40:00 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.8191 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7179 loss: 0.7179 2022/06/30 16:01:00 - mmengine - INFO - Epoch(train) [84][2660/3757] lr: 1.000e-04 eta: 4:39:55 time: 0.255 data_time: 0.012 memory: 6404 grad_norm: 9.4887 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1595 loss: 1.1595 2022/06/30 16:01:06 - mmengine - INFO - Epoch(train) [84][2680/3757] lr: 1.000e-04 eta: 4:39:49 time: 0.260 data_time: 0.028 memory: 6404 grad_norm: 8.7844 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8600 loss: 0.8600 2022/06/30 16:01:11 - mmengine - INFO - Epoch(train) [84][2700/3757] lr: 1.000e-04 eta: 4:39:44 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 9.0602 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9715 loss: 0.9715 2022/06/30 16:01:16 - mmengine - INFO - Epoch(train) [84][2720/3757] lr: 1.000e-04 eta: 4:39:38 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 9.5787 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1419 loss: 1.1419 2022/06/30 16:01:23 - mmengine - INFO - Epoch(train) [84][2740/3757] lr: 1.000e-04 eta: 4:39:33 time: 0.283 data_time: 0.021 memory: 6404 grad_norm: 8.5514 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2465 loss: 1.2465 2022/06/30 16:01:28 - mmengine - INFO - Epoch(train) [84][2760/3757] lr: 1.000e-04 eta: 4:39:28 time: 0.289 data_time: 0.013 memory: 6404 grad_norm: 8.3905 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1441 loss: 1.1441 2022/06/30 16:01:33 - mmengine - INFO - Epoch(train) [84][2780/3757] lr: 1.000e-04 eta: 4:39:22 time: 0.257 data_time: 0.017 memory: 6404 grad_norm: 8.6901 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1568 loss: 1.1568 2022/06/30 16:01:39 - mmengine - INFO - Epoch(train) [84][2800/3757] lr: 1.000e-04 eta: 4:39:17 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 9.8067 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0627 loss: 1.0627 2022/06/30 16:01:45 - mmengine - INFO - Epoch(train) [84][2820/3757] lr: 1.000e-04 eta: 4:39:11 time: 0.293 data_time: 0.056 memory: 6404 grad_norm: 8.2487 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9154 loss: 0.9154 2022/06/30 16:01:50 - mmengine - INFO - Epoch(train) [84][2840/3757] lr: 1.000e-04 eta: 4:39:06 time: 0.262 data_time: 0.012 memory: 6404 grad_norm: 7.8787 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7964 loss: 0.7964 2022/06/30 16:01:55 - mmengine - INFO - Epoch(train) [84][2860/3757] lr: 1.000e-04 eta: 4:39:00 time: 0.253 data_time: 0.015 memory: 6404 grad_norm: 7.4807 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0178 loss: 1.0178 2022/06/30 16:02:00 - mmengine - INFO - Epoch(train) [84][2880/3757] lr: 1.000e-04 eta: 4:38:55 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 8.5290 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9882 loss: 0.9882 2022/06/30 16:02:06 - mmengine - INFO - Epoch(train) [84][2900/3757] lr: 1.000e-04 eta: 4:38:49 time: 0.289 data_time: 0.007 memory: 6404 grad_norm: 7.7186 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3968 loss: 1.3968 2022/06/30 16:02:11 - mmengine - INFO - Epoch(train) [84][2920/3757] lr: 1.000e-04 eta: 4:38:44 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 9.1692 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9106 loss: 0.9106 2022/06/30 16:02:16 - mmengine - INFO - Epoch(train) [84][2940/3757] lr: 1.000e-04 eta: 4:38:38 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 7.8299 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6761 loss: 0.6761 2022/06/30 16:02:22 - mmengine - INFO - Epoch(train) [84][2960/3757] lr: 1.000e-04 eta: 4:38:32 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 10.5781 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9391 loss: 0.9391 2022/06/30 16:02:27 - mmengine - INFO - Epoch(train) [84][2980/3757] lr: 1.000e-04 eta: 4:38:27 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 9.4109 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7772 loss: 0.7772 2022/06/30 16:02:33 - mmengine - INFO - Epoch(train) [84][3000/3757] lr: 1.000e-04 eta: 4:38:21 time: 0.280 data_time: 0.011 memory: 6404 grad_norm: 8.4514 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3670 loss: 1.3670 2022/06/30 16:02:39 - mmengine - INFO - Epoch(train) [84][3020/3757] lr: 1.000e-04 eta: 4:38:16 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 7.2713 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8964 loss: 0.8964 2022/06/30 16:02:44 - mmengine - INFO - Epoch(train) [84][3040/3757] lr: 1.000e-04 eta: 4:38:11 time: 0.288 data_time: 0.018 memory: 6404 grad_norm: 8.7923 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7342 loss: 0.7342 2022/06/30 16:02:50 - mmengine - INFO - Epoch(train) [84][3060/3757] lr: 1.000e-04 eta: 4:38:05 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 10.0443 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0356 loss: 1.0356 2022/06/30 16:02:55 - mmengine - INFO - Epoch(train) [84][3080/3757] lr: 1.000e-04 eta: 4:38:00 time: 0.252 data_time: 0.035 memory: 6404 grad_norm: 10.4535 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2194 loss: 1.2194 2022/06/30 16:03:00 - mmengine - INFO - Epoch(train) [84][3100/3757] lr: 1.000e-04 eta: 4:37:54 time: 0.249 data_time: 0.017 memory: 6404 grad_norm: 8.6954 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8164 loss: 0.8164 2022/06/30 16:03:07 - mmengine - INFO - Epoch(train) [84][3120/3757] lr: 1.000e-04 eta: 4:37:49 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.8262 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0514 loss: 1.0514 2022/06/30 16:03:12 - mmengine - INFO - Epoch(train) [84][3140/3757] lr: 1.000e-04 eta: 4:37:43 time: 0.257 data_time: 0.015 memory: 6404 grad_norm: 9.8085 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0062 loss: 1.0062 2022/06/30 16:03:17 - mmengine - INFO - Epoch(train) [84][3160/3757] lr: 1.000e-04 eta: 4:37:38 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 7.7863 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0315 loss: 1.0315 2022/06/30 16:03:20 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 16:03:23 - mmengine - INFO - Epoch(train) [84][3180/3757] lr: 1.000e-04 eta: 4:37:32 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 7.8676 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1365 loss: 1.1365 2022/06/30 16:03:28 - mmengine - INFO - Epoch(train) [84][3200/3757] lr: 1.000e-04 eta: 4:37:27 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 8.8134 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2862 loss: 1.2862 2022/06/30 16:03:33 - mmengine - INFO - Epoch(train) [84][3220/3757] lr: 1.000e-04 eta: 4:37:21 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 8.6366 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9249 loss: 0.9249 2022/06/30 16:03:39 - mmengine - INFO - Epoch(train) [84][3240/3757] lr: 1.000e-04 eta: 4:37:16 time: 0.277 data_time: 0.012 memory: 6404 grad_norm: 8.8129 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6974 loss: 0.6974 2022/06/30 16:03:44 - mmengine - INFO - Epoch(train) [84][3260/3757] lr: 1.000e-04 eta: 4:37:10 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 7.8788 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1891 loss: 1.1891 2022/06/30 16:03:49 - mmengine - INFO - Epoch(train) [84][3280/3757] lr: 1.000e-04 eta: 4:37:05 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 7.2600 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0324 loss: 1.0324 2022/06/30 16:03:55 - mmengine - INFO - Epoch(train) [84][3300/3757] lr: 1.000e-04 eta: 4:36:59 time: 0.288 data_time: 0.007 memory: 6404 grad_norm: 9.2143 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1504 loss: 1.1504 2022/06/30 16:04:00 - mmengine - INFO - Epoch(train) [84][3320/3757] lr: 1.000e-04 eta: 4:36:54 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 8.6631 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4511 loss: 1.4511 2022/06/30 16:04:06 - mmengine - INFO - Epoch(train) [84][3340/3757] lr: 1.000e-04 eta: 4:36:48 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 8.8103 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0059 loss: 1.0059 2022/06/30 16:04:12 - mmengine - INFO - Epoch(train) [84][3360/3757] lr: 1.000e-04 eta: 4:36:43 time: 0.270 data_time: 0.007 memory: 6404 grad_norm: 10.6568 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0801 loss: 1.0801 2022/06/30 16:04:17 - mmengine - INFO - Epoch(train) [84][3380/3757] lr: 1.000e-04 eta: 4:36:37 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 8.0064 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0416 loss: 1.0416 2022/06/30 16:04:22 - mmengine - INFO - Epoch(train) [84][3400/3757] lr: 1.000e-04 eta: 4:36:32 time: 0.256 data_time: 0.018 memory: 6404 grad_norm: 8.3936 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0547 loss: 1.0547 2022/06/30 16:04:28 - mmengine - INFO - Epoch(train) [84][3420/3757] lr: 1.000e-04 eta: 4:36:26 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 11.1291 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1041 loss: 1.1041 2022/06/30 16:04:33 - mmengine - INFO - Epoch(train) [84][3440/3757] lr: 1.000e-04 eta: 4:36:21 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 9.6542 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2688 loss: 1.2688 2022/06/30 16:04:39 - mmengine - INFO - Epoch(train) [84][3460/3757] lr: 1.000e-04 eta: 4:36:15 time: 0.260 data_time: 0.017 memory: 6404 grad_norm: 10.1758 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7894 loss: 0.7894 2022/06/30 16:04:44 - mmengine - INFO - Epoch(train) [84][3480/3757] lr: 1.000e-04 eta: 4:36:10 time: 0.355 data_time: 0.009 memory: 6404 grad_norm: 9.0379 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8072 loss: 0.8072 2022/06/30 16:04:50 - mmengine - INFO - Epoch(train) [84][3500/3757] lr: 1.000e-04 eta: 4:36:04 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 9.0951 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0489 loss: 1.0489 2022/06/30 16:04:55 - mmengine - INFO - Epoch(train) [84][3520/3757] lr: 1.000e-04 eta: 4:35:59 time: 0.260 data_time: 0.022 memory: 6404 grad_norm: 8.5259 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1268 loss: 1.1268 2022/06/30 16:05:01 - mmengine - INFO - Epoch(train) [84][3540/3757] lr: 1.000e-04 eta: 4:35:53 time: 0.250 data_time: 0.015 memory: 6404 grad_norm: 10.6673 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9937 loss: 0.9937 2022/06/30 16:05:07 - mmengine - INFO - Epoch(train) [84][3560/3757] lr: 1.000e-04 eta: 4:35:48 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 9.0829 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9099 loss: 0.9099 2022/06/30 16:05:12 - mmengine - INFO - Epoch(train) [84][3580/3757] lr: 1.000e-04 eta: 4:35:42 time: 0.253 data_time: 0.025 memory: 6404 grad_norm: 8.8956 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1128 loss: 1.1128 2022/06/30 16:05:18 - mmengine - INFO - Epoch(train) [84][3600/3757] lr: 1.000e-04 eta: 4:35:37 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 9.1025 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8643 loss: 0.8643 2022/06/30 16:05:23 - mmengine - INFO - Epoch(train) [84][3620/3757] lr: 1.000e-04 eta: 4:35:31 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 6.2686 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9395 loss: 0.9395 2022/06/30 16:05:29 - mmengine - INFO - Epoch(train) [84][3640/3757] lr: 1.000e-04 eta: 4:35:26 time: 0.263 data_time: 0.020 memory: 6404 grad_norm: 5.1206 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2386 loss: 1.2386 2022/06/30 16:05:34 - mmengine - INFO - Epoch(train) [84][3660/3757] lr: 1.000e-04 eta: 4:35:20 time: 0.238 data_time: 0.016 memory: 6404 grad_norm: 9.7014 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0114 loss: 1.0114 2022/06/30 16:05:39 - mmengine - INFO - Epoch(train) [84][3680/3757] lr: 1.000e-04 eta: 4:35:15 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 10.0350 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9443 loss: 0.9443 2022/06/30 16:05:45 - mmengine - INFO - Epoch(train) [84][3700/3757] lr: 1.000e-04 eta: 4:35:09 time: 0.259 data_time: 0.022 memory: 6404 grad_norm: 10.5502 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8836 loss: 0.8836 2022/06/30 16:05:50 - mmengine - INFO - Epoch(train) [84][3720/3757] lr: 1.000e-04 eta: 4:35:04 time: 0.269 data_time: 0.006 memory: 6404 grad_norm: 10.9378 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.8983 loss: 0.8983 2022/06/30 16:05:56 - mmengine - INFO - Epoch(train) [84][3740/3757] lr: 1.000e-04 eta: 4:34:58 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 10.6395 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1527 loss: 1.1527 2022/06/30 16:06:00 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 16:06:07 - mmengine - INFO - Epoch(val) [84][20/310] eta: 0:01:19 time: 0.089 data_time: 0.007 memory: 6404 2022/06/30 16:06:13 - mmengine - INFO - Epoch(val) [84][40/310] eta: 0:01:24 time: 0.277 data_time: 0.193 memory: 1479 2022/06/30 16:06:17 - mmengine - INFO - Epoch(val) [84][60/310] eta: 0:00:22 time: 0.089 data_time: 0.011 memory: 1479 2022/06/30 16:06:23 - mmengine - INFO - Epoch(val) [84][80/310] eta: 0:01:13 time: 0.090 data_time: 0.008 memory: 1479 2022/06/30 16:06:29 - mmengine - INFO - Epoch(val) [84][100/310] eta: 0:01:02 time: 0.722 data_time: 0.650 memory: 1479 2022/06/30 16:06:33 - mmengine - INFO - Epoch(val) [84][120/310] eta: 0:00:29 time: 0.090 data_time: 0.007 memory: 1479 2022/06/30 16:06:39 - mmengine - INFO - Epoch(val) [84][140/310] eta: 0:00:53 time: 0.100 data_time: 0.011 memory: 1479 2022/06/30 16:06:46 - mmengine - INFO - Epoch(val) [84][160/310] eta: 0:00:46 time: 1.384 data_time: 1.281 memory: 1479 2022/06/30 16:06:50 - mmengine - INFO - Epoch(val) [84][180/310] eta: 0:00:41 time: 0.084 data_time: 0.009 memory: 1479 2022/06/30 16:06:56 - mmengine - INFO - Epoch(val) [84][200/310] eta: 0:00:34 time: 0.097 data_time: 0.011 memory: 1479 2022/06/30 16:07:01 - mmengine - INFO - Epoch(val) [84][220/310] eta: 0:00:26 time: 0.671 data_time: 0.583 memory: 1479 2022/06/30 16:07:05 - mmengine - INFO - Epoch(val) [84][240/310] eta: 0:00:19 time: 0.088 data_time: 0.005 memory: 1479 2022/06/30 16:07:11 - mmengine - INFO - Epoch(val) [84][260/310] eta: 0:00:16 time: 0.086 data_time: 0.007 memory: 1479 2022/06/30 16:07:17 - mmengine - INFO - Epoch(val) [84][280/310] eta: 0:00:09 time: 0.615 data_time: 0.517 memory: 1479 2022/06/30 16:07:21 - mmengine - INFO - Epoch(val) [84][300/310] eta: 0:00:02 time: 0.079 data_time: 0.005 memory: 1479 2022/06/30 16:07:24 - mmengine - INFO - Epoch(val) [84][310/310] acc/top1: 0.6747 acc/top5: 0.8702 acc/mean1: 0.6746 2022/06/30 16:07:33 - mmengine - INFO - Epoch(train) [85][20/3757] lr: 1.000e-04 eta: 4:34:48 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 8.1749 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0793 loss: 1.0793 2022/06/30 16:07:39 - mmengine - INFO - Epoch(train) [85][40/3757] lr: 1.000e-04 eta: 4:34:43 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 9.5410 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3157 loss: 1.3157 2022/06/30 16:07:44 - mmengine - INFO - Epoch(train) [85][60/3757] lr: 1.000e-04 eta: 4:34:37 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 8.5637 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1080 loss: 1.1080 2022/06/30 16:07:50 - mmengine - INFO - Epoch(train) [85][80/3757] lr: 1.000e-04 eta: 4:34:32 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 9.2701 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7473 loss: 0.7473 2022/06/30 16:07:56 - mmengine - INFO - Epoch(train) [85][100/3757] lr: 1.000e-04 eta: 4:34:27 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 9.8282 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1091 loss: 1.1091 2022/06/30 16:08:01 - mmengine - INFO - Epoch(train) [85][120/3757] lr: 1.000e-04 eta: 4:34:21 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 8.1663 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1162 loss: 1.1162 2022/06/30 16:08:06 - mmengine - INFO - Epoch(train) [85][140/3757] lr: 1.000e-04 eta: 4:34:16 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 11.0312 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0699 loss: 1.0699 2022/06/30 16:08:12 - mmengine - INFO - Epoch(train) [85][160/3757] lr: 1.000e-04 eta: 4:34:10 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 9.8448 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0266 loss: 1.0266 2022/06/30 16:08:17 - mmengine - INFO - Epoch(train) [85][180/3757] lr: 1.000e-04 eta: 4:34:05 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 8.9810 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8533 loss: 0.8533 2022/06/30 16:08:23 - mmengine - INFO - Epoch(train) [85][200/3757] lr: 1.000e-04 eta: 4:33:59 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 8.9885 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2302 loss: 1.2302 2022/06/30 16:08:29 - mmengine - INFO - Epoch(train) [85][220/3757] lr: 1.000e-04 eta: 4:33:54 time: 0.338 data_time: 0.007 memory: 6404 grad_norm: 9.9932 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8138 loss: 0.8138 2022/06/30 16:08:34 - mmengine - INFO - Epoch(train) [85][240/3757] lr: 1.000e-04 eta: 4:33:48 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 8.1622 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2241 loss: 1.2241 2022/06/30 16:08:40 - mmengine - INFO - Epoch(train) [85][260/3757] lr: 1.000e-04 eta: 4:33:43 time: 0.240 data_time: 0.019 memory: 6404 grad_norm: 8.9180 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1313 loss: 1.1313 2022/06/30 16:08:46 - mmengine - INFO - Epoch(train) [85][280/3757] lr: 1.000e-04 eta: 4:33:37 time: 0.571 data_time: 0.008 memory: 6404 grad_norm: 9.6177 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0363 loss: 1.0363 2022/06/30 16:08:51 - mmengine - INFO - Epoch(train) [85][300/3757] lr: 1.000e-04 eta: 4:33:32 time: 0.253 data_time: 0.019 memory: 6404 grad_norm: 10.1884 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9628 loss: 0.9628 2022/06/30 16:08:56 - mmengine - INFO - Epoch(train) [85][320/3757] lr: 1.000e-04 eta: 4:33:26 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 9.3052 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0374 loss: 1.0374 2022/06/30 16:09:02 - mmengine - INFO - Epoch(train) [85][340/3757] lr: 1.000e-04 eta: 4:33:21 time: 1.203 data_time: 0.007 memory: 6404 grad_norm: 7.8850 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7530 loss: 0.7530 2022/06/30 16:09:08 - mmengine - INFO - Epoch(train) [85][360/3757] lr: 1.000e-04 eta: 4:33:15 time: 0.243 data_time: 0.023 memory: 6404 grad_norm: 10.0097 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8361 loss: 0.8361 2022/06/30 16:09:13 - mmengine - INFO - Epoch(train) [85][380/3757] lr: 1.000e-04 eta: 4:33:10 time: 0.249 data_time: 0.020 memory: 6404 grad_norm: 9.8032 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0449 loss: 1.0449 2022/06/30 16:09:18 - mmengine - INFO - Epoch(train) [85][400/3757] lr: 1.000e-04 eta: 4:33:04 time: 0.269 data_time: 0.010 memory: 6404 grad_norm: 7.0095 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0721 loss: 1.0721 2022/06/30 16:09:21 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 16:09:23 - mmengine - INFO - Epoch(train) [85][420/3757] lr: 1.000e-04 eta: 4:32:59 time: 0.282 data_time: 0.015 memory: 6404 grad_norm: 9.2854 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9755 loss: 0.9755 2022/06/30 16:09:29 - mmengine - INFO - Epoch(train) [85][440/3757] lr: 1.000e-04 eta: 4:32:53 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 9.8965 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1919 loss: 1.1919 2022/06/30 16:09:34 - mmengine - INFO - Epoch(train) [85][460/3757] lr: 1.000e-04 eta: 4:32:48 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 8.0200 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8536 loss: 0.8536 2022/06/30 16:09:39 - mmengine - INFO - Epoch(train) [85][480/3757] lr: 1.000e-04 eta: 4:32:42 time: 0.251 data_time: 0.022 memory: 6404 grad_norm: 7.9559 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7642 loss: 0.7642 2022/06/30 16:09:45 - mmengine - INFO - Epoch(train) [85][500/3757] lr: 1.000e-04 eta: 4:32:37 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 10.8054 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8928 loss: 0.8928 2022/06/30 16:09:50 - mmengine - INFO - Epoch(train) [85][520/3757] lr: 1.000e-04 eta: 4:32:31 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 8.5141 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0134 loss: 1.0134 2022/06/30 16:09:56 - mmengine - INFO - Epoch(train) [85][540/3757] lr: 1.000e-04 eta: 4:32:26 time: 0.336 data_time: 0.020 memory: 6404 grad_norm: 9.5300 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8176 loss: 0.8176 2022/06/30 16:10:01 - mmengine - INFO - Epoch(train) [85][560/3757] lr: 1.000e-04 eta: 4:32:20 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 9.0531 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8218 loss: 0.8218 2022/06/30 16:10:07 - mmengine - INFO - Epoch(train) [85][580/3757] lr: 1.000e-04 eta: 4:32:15 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 7.9656 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8649 loss: 0.8649 2022/06/30 16:10:13 - mmengine - INFO - Epoch(train) [85][600/3757] lr: 1.000e-04 eta: 4:32:09 time: 0.285 data_time: 0.008 memory: 6404 grad_norm: 8.5942 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3671 loss: 1.3671 2022/06/30 16:10:18 - mmengine - INFO - Epoch(train) [85][620/3757] lr: 1.000e-04 eta: 4:32:04 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 7.5116 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0467 loss: 1.0467 2022/06/30 16:10:24 - mmengine - INFO - Epoch(train) [85][640/3757] lr: 1.000e-04 eta: 4:31:58 time: 0.472 data_time: 0.006 memory: 6404 grad_norm: 10.5609 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2001 loss: 1.2001 2022/06/30 16:10:29 - mmengine - INFO - Epoch(train) [85][660/3757] lr: 1.000e-04 eta: 4:31:53 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 10.7536 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0686 loss: 1.0686 2022/06/30 16:10:35 - mmengine - INFO - Epoch(train) [85][680/3757] lr: 1.000e-04 eta: 4:31:47 time: 0.436 data_time: 0.024 memory: 6404 grad_norm: 9.2023 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0637 loss: 1.0637 2022/06/30 16:10:41 - mmengine - INFO - Epoch(train) [85][700/3757] lr: 1.000e-04 eta: 4:31:42 time: 0.287 data_time: 0.007 memory: 6404 grad_norm: 8.8023 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7391 loss: 0.7391 2022/06/30 16:10:46 - mmengine - INFO - Epoch(train) [85][720/3757] lr: 1.000e-04 eta: 4:31:36 time: 0.275 data_time: 0.013 memory: 6404 grad_norm: 9.7642 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1046 loss: 1.1046 2022/06/30 16:10:52 - mmengine - INFO - Epoch(train) [85][740/3757] lr: 1.000e-04 eta: 4:31:31 time: 0.429 data_time: 0.021 memory: 6404 grad_norm: 8.9532 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2552 loss: 1.2552 2022/06/30 16:10:57 - mmengine - INFO - Epoch(train) [85][760/3757] lr: 1.000e-04 eta: 4:31:25 time: 0.330 data_time: 0.011 memory: 6404 grad_norm: 8.7796 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5735 loss: 0.5735 2022/06/30 16:11:03 - mmengine - INFO - Epoch(train) [85][780/3757] lr: 1.000e-04 eta: 4:31:20 time: 0.269 data_time: 0.009 memory: 6404 grad_norm: 8.1105 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0751 loss: 1.0751 2022/06/30 16:11:08 - mmengine - INFO - Epoch(train) [85][800/3757] lr: 1.000e-04 eta: 4:31:14 time: 0.270 data_time: 0.009 memory: 6404 grad_norm: 9.3522 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8271 loss: 0.8271 2022/06/30 16:11:14 - mmengine - INFO - Epoch(train) [85][820/3757] lr: 1.000e-04 eta: 4:31:09 time: 0.348 data_time: 0.009 memory: 6404 grad_norm: 8.8615 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9059 loss: 0.9059 2022/06/30 16:11:19 - mmengine - INFO - Epoch(train) [85][840/3757] lr: 1.000e-04 eta: 4:31:03 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 9.1349 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4078 loss: 1.4078 2022/06/30 16:11:25 - mmengine - INFO - Epoch(train) [85][860/3757] lr: 1.000e-04 eta: 4:30:58 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 9.2866 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9311 loss: 0.9311 2022/06/30 16:11:30 - mmengine - INFO - Epoch(train) [85][880/3757] lr: 1.000e-04 eta: 4:30:52 time: 0.423 data_time: 0.018 memory: 6404 grad_norm: 7.4214 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2721 loss: 1.2721 2022/06/30 16:11:36 - mmengine - INFO - Epoch(train) [85][900/3757] lr: 1.000e-04 eta: 4:30:47 time: 0.246 data_time: 0.014 memory: 6404 grad_norm: 10.3024 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0571 loss: 1.0571 2022/06/30 16:11:41 - mmengine - INFO - Epoch(train) [85][920/3757] lr: 1.000e-04 eta: 4:30:42 time: 0.278 data_time: 0.008 memory: 6404 grad_norm: 8.8825 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3102 loss: 1.3102 2022/06/30 16:11:47 - mmengine - INFO - Epoch(train) [85][940/3757] lr: 1.000e-04 eta: 4:30:36 time: 0.290 data_time: 0.024 memory: 6404 grad_norm: 9.8874 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0514 loss: 1.0514 2022/06/30 16:11:52 - mmengine - INFO - Epoch(train) [85][960/3757] lr: 1.000e-04 eta: 4:30:31 time: 0.237 data_time: 0.011 memory: 6404 grad_norm: 8.4015 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2981 loss: 1.2981 2022/06/30 16:11:58 - mmengine - INFO - Epoch(train) [85][980/3757] lr: 1.000e-04 eta: 4:30:25 time: 0.260 data_time: 0.015 memory: 6404 grad_norm: 8.6945 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4039 loss: 1.4039 2022/06/30 16:12:03 - mmengine - INFO - Epoch(train) [85][1000/3757] lr: 1.000e-04 eta: 4:30:20 time: 0.265 data_time: 0.006 memory: 6404 grad_norm: 9.5205 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3806 loss: 1.3806 2022/06/30 16:12:08 - mmengine - INFO - Epoch(train) [85][1020/3757] lr: 1.000e-04 eta: 4:30:14 time: 0.255 data_time: 0.019 memory: 6404 grad_norm: 8.7038 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8858 loss: 0.8858 2022/06/30 16:12:14 - mmengine - INFO - Epoch(train) [85][1040/3757] lr: 1.000e-04 eta: 4:30:08 time: 0.243 data_time: 0.014 memory: 6404 grad_norm: 7.4731 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9758 loss: 0.9758 2022/06/30 16:12:20 - mmengine - INFO - Epoch(train) [85][1060/3757] lr: 1.000e-04 eta: 4:30:03 time: 0.290 data_time: 0.013 memory: 6404 grad_norm: 9.0352 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9412 loss: 0.9412 2022/06/30 16:12:26 - mmengine - INFO - Epoch(train) [85][1080/3757] lr: 1.000e-04 eta: 4:29:58 time: 0.267 data_time: 0.019 memory: 6404 grad_norm: 8.1664 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8785 loss: 0.8785 2022/06/30 16:12:31 - mmengine - INFO - Epoch(train) [85][1100/3757] lr: 1.000e-04 eta: 4:29:52 time: 0.285 data_time: 0.009 memory: 6404 grad_norm: 9.0474 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7235 loss: 0.7235 2022/06/30 16:12:36 - mmengine - INFO - Epoch(train) [85][1120/3757] lr: 1.000e-04 eta: 4:29:47 time: 0.264 data_time: 0.010 memory: 6404 grad_norm: 8.0849 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0700 loss: 1.0700 2022/06/30 16:12:42 - mmengine - INFO - Epoch(train) [85][1140/3757] lr: 1.000e-04 eta: 4:29:41 time: 0.281 data_time: 0.015 memory: 6404 grad_norm: 9.0815 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7862 loss: 0.7862 2022/06/30 16:12:47 - mmengine - INFO - Epoch(train) [85][1160/3757] lr: 1.000e-04 eta: 4:29:36 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 9.2294 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0596 loss: 1.0596 2022/06/30 16:12:53 - mmengine - INFO - Epoch(train) [85][1180/3757] lr: 1.000e-04 eta: 4:29:30 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 8.1875 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1345 loss: 1.1345 2022/06/30 16:12:58 - mmengine - INFO - Epoch(train) [85][1200/3757] lr: 1.000e-04 eta: 4:29:25 time: 0.250 data_time: 0.016 memory: 6404 grad_norm: 8.6340 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1688 loss: 1.1688 2022/06/30 16:13:03 - mmengine - INFO - Epoch(train) [85][1220/3757] lr: 1.000e-04 eta: 4:29:19 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 9.1786 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0412 loss: 1.0412 2022/06/30 16:13:09 - mmengine - INFO - Epoch(train) [85][1240/3757] lr: 1.000e-04 eta: 4:29:14 time: 0.295 data_time: 0.007 memory: 6404 grad_norm: 8.4976 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9731 loss: 0.9731 2022/06/30 16:13:14 - mmengine - INFO - Epoch(train) [85][1260/3757] lr: 1.000e-04 eta: 4:29:08 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 9.0225 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8539 loss: 0.8539 2022/06/30 16:13:20 - mmengine - INFO - Epoch(train) [85][1280/3757] lr: 1.000e-04 eta: 4:29:03 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 10.5236 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0414 loss: 1.0414 2022/06/30 16:13:25 - mmengine - INFO - Epoch(train) [85][1300/3757] lr: 1.000e-04 eta: 4:28:57 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 7.7041 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1779 loss: 1.1779 2022/06/30 16:13:30 - mmengine - INFO - Epoch(train) [85][1320/3757] lr: 1.000e-04 eta: 4:28:52 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 8.2004 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6998 loss: 0.6998 2022/06/30 16:13:36 - mmengine - INFO - Epoch(train) [85][1340/3757] lr: 1.000e-04 eta: 4:28:46 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 8.3692 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0950 loss: 1.0950 2022/06/30 16:13:41 - mmengine - INFO - Epoch(train) [85][1360/3757] lr: 1.000e-04 eta: 4:28:41 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 9.9094 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8348 loss: 0.8348 2022/06/30 16:13:46 - mmengine - INFO - Epoch(train) [85][1380/3757] lr: 1.000e-04 eta: 4:28:35 time: 0.262 data_time: 0.009 memory: 6404 grad_norm: 7.8559 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9139 loss: 0.9139 2022/06/30 16:13:52 - mmengine - INFO - Epoch(train) [85][1400/3757] lr: 1.000e-04 eta: 4:28:29 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 8.6899 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9923 loss: 0.9923 2022/06/30 16:13:56 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 16:13:58 - mmengine - INFO - Epoch(train) [85][1420/3757] lr: 1.000e-04 eta: 4:28:24 time: 0.255 data_time: 0.014 memory: 6404 grad_norm: 10.1483 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2824 loss: 1.2824 2022/06/30 16:14:03 - mmengine - INFO - Epoch(train) [85][1440/3757] lr: 1.000e-04 eta: 4:28:19 time: 0.269 data_time: 0.015 memory: 6404 grad_norm: 9.3413 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2107 loss: 1.2107 2022/06/30 16:14:10 - mmengine - INFO - Epoch(train) [85][1460/3757] lr: 1.000e-04 eta: 4:28:13 time: 0.262 data_time: 0.014 memory: 6404 grad_norm: 10.3735 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0635 loss: 1.0635 2022/06/30 16:14:15 - mmengine - INFO - Epoch(train) [85][1480/3757] lr: 1.000e-04 eta: 4:28:08 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 10.0026 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9518 loss: 0.9518 2022/06/30 16:14:20 - mmengine - INFO - Epoch(train) [85][1500/3757] lr: 1.000e-04 eta: 4:28:02 time: 0.255 data_time: 0.015 memory: 6404 grad_norm: 8.6945 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9802 loss: 0.9802 2022/06/30 16:14:26 - mmengine - INFO - Epoch(train) [85][1520/3757] lr: 1.000e-04 eta: 4:27:57 time: 0.404 data_time: 0.040 memory: 6404 grad_norm: 8.9054 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8455 loss: 0.8455 2022/06/30 16:14:31 - mmengine - INFO - Epoch(train) [85][1540/3757] lr: 1.000e-04 eta: 4:27:51 time: 0.246 data_time: 0.015 memory: 6404 grad_norm: 10.4806 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4062 loss: 1.4062 2022/06/30 16:14:36 - mmengine - INFO - Epoch(train) [85][1560/3757] lr: 1.000e-04 eta: 4:27:46 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 8.5811 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0989 loss: 1.0989 2022/06/30 16:14:41 - mmengine - INFO - Epoch(train) [85][1580/3757] lr: 1.000e-04 eta: 4:27:40 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 9.7588 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2523 loss: 1.2523 2022/06/30 16:14:47 - mmengine - INFO - Epoch(train) [85][1600/3757] lr: 1.000e-04 eta: 4:27:35 time: 0.257 data_time: 0.015 memory: 6404 grad_norm: 8.1572 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2157 loss: 1.2157 2022/06/30 16:14:53 - mmengine - INFO - Epoch(train) [85][1620/3757] lr: 1.000e-04 eta: 4:27:29 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 8.0402 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9149 loss: 0.9149 2022/06/30 16:14:58 - mmengine - INFO - Epoch(train) [85][1640/3757] lr: 1.000e-04 eta: 4:27:24 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 10.8581 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3700 loss: 1.3700 2022/06/30 16:15:03 - mmengine - INFO - Epoch(train) [85][1660/3757] lr: 1.000e-04 eta: 4:27:18 time: 0.262 data_time: 0.013 memory: 6404 grad_norm: 7.0923 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0931 loss: 1.0931 2022/06/30 16:15:09 - mmengine - INFO - Epoch(train) [85][1680/3757] lr: 1.000e-04 eta: 4:27:13 time: 0.265 data_time: 0.014 memory: 6404 grad_norm: 7.7046 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1213 loss: 1.1213 2022/06/30 16:15:14 - mmengine - INFO - Epoch(train) [85][1700/3757] lr: 1.000e-04 eta: 4:27:07 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.7954 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8775 loss: 0.8775 2022/06/30 16:15:20 - mmengine - INFO - Epoch(train) [85][1720/3757] lr: 1.000e-04 eta: 4:27:02 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 10.6603 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.7653 loss: 0.7653 2022/06/30 16:15:25 - mmengine - INFO - Epoch(train) [85][1740/3757] lr: 1.000e-04 eta: 4:26:56 time: 0.253 data_time: 0.018 memory: 6404 grad_norm: 9.5745 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9633 loss: 0.9633 2022/06/30 16:15:31 - mmengine - INFO - Epoch(train) [85][1760/3757] lr: 1.000e-04 eta: 4:26:51 time: 0.260 data_time: 0.012 memory: 6404 grad_norm: 8.1821 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8555 loss: 0.8555 2022/06/30 16:15:37 - mmengine - INFO - Epoch(train) [85][1780/3757] lr: 1.000e-04 eta: 4:26:45 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 7.9626 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0065 loss: 1.0065 2022/06/30 16:15:42 - mmengine - INFO - Epoch(train) [85][1800/3757] lr: 1.000e-04 eta: 4:26:40 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 9.4011 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7413 loss: 0.7413 2022/06/30 16:15:48 - mmengine - INFO - Epoch(train) [85][1820/3757] lr: 1.000e-04 eta: 4:26:34 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 9.2868 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8396 loss: 0.8396 2022/06/30 16:15:53 - mmengine - INFO - Epoch(train) [85][1840/3757] lr: 1.000e-04 eta: 4:26:29 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 7.5039 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9418 loss: 0.9418 2022/06/30 16:15:58 - mmengine - INFO - Epoch(train) [85][1860/3757] lr: 1.000e-04 eta: 4:26:23 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 9.8398 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0163 loss: 1.0163 2022/06/30 16:16:04 - mmengine - INFO - Epoch(train) [85][1880/3757] lr: 1.000e-04 eta: 4:26:18 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 11.2300 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7234 loss: 0.7234 2022/06/30 16:16:09 - mmengine - INFO - Epoch(train) [85][1900/3757] lr: 1.000e-04 eta: 4:26:12 time: 0.273 data_time: 0.010 memory: 6404 grad_norm: 8.0751 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7945 loss: 0.7945 2022/06/30 16:16:15 - mmengine - INFO - Epoch(train) [85][1920/3757] lr: 1.000e-04 eta: 4:26:07 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 8.9473 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2415 loss: 1.2415 2022/06/30 16:16:20 - mmengine - INFO - Epoch(train) [85][1940/3757] lr: 1.000e-04 eta: 4:26:01 time: 0.272 data_time: 0.011 memory: 6404 grad_norm: 8.7368 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4381 loss: 1.4381 2022/06/30 16:16:26 - mmengine - INFO - Epoch(train) [85][1960/3757] lr: 1.000e-04 eta: 4:25:56 time: 0.284 data_time: 0.007 memory: 6404 grad_norm: 8.9524 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1035 loss: 1.1035 2022/06/30 16:16:31 - mmengine - INFO - Epoch(train) [85][1980/3757] lr: 1.000e-04 eta: 4:25:50 time: 0.256 data_time: 0.017 memory: 6404 grad_norm: 9.8444 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2908 loss: 1.2908 2022/06/30 16:16:37 - mmengine - INFO - Epoch(train) [85][2000/3757] lr: 1.000e-04 eta: 4:25:45 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 9.1635 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9724 loss: 0.9724 2022/06/30 16:16:42 - mmengine - INFO - Epoch(train) [85][2020/3757] lr: 1.000e-04 eta: 4:25:39 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 9.8763 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8442 loss: 0.8442 2022/06/30 16:16:47 - mmengine - INFO - Epoch(train) [85][2040/3757] lr: 1.000e-04 eta: 4:25:34 time: 0.263 data_time: 0.015 memory: 6404 grad_norm: 9.3421 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0481 loss: 1.0481 2022/06/30 16:16:53 - mmengine - INFO - Epoch(train) [85][2060/3757] lr: 1.000e-04 eta: 4:25:28 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 7.4360 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1356 loss: 1.1356 2022/06/30 16:16:58 - mmengine - INFO - Epoch(train) [85][2080/3757] lr: 1.000e-04 eta: 4:25:23 time: 0.267 data_time: 0.011 memory: 6404 grad_norm: 7.9474 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0806 loss: 1.0806 2022/06/30 16:17:03 - mmengine - INFO - Epoch(train) [85][2100/3757] lr: 1.000e-04 eta: 4:25:17 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 8.4429 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3414 loss: 1.3414 2022/06/30 16:17:09 - mmengine - INFO - Epoch(train) [85][2120/3757] lr: 1.000e-04 eta: 4:25:12 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 7.7987 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9645 loss: 0.9645 2022/06/30 16:17:15 - mmengine - INFO - Epoch(train) [85][2140/3757] lr: 1.000e-04 eta: 4:25:06 time: 0.271 data_time: 0.008 memory: 6404 grad_norm: 8.6928 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9495 loss: 0.9495 2022/06/30 16:17:20 - mmengine - INFO - Epoch(train) [85][2160/3757] lr: 1.000e-04 eta: 4:25:01 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 9.2101 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1227 loss: 1.1227 2022/06/30 16:17:25 - mmengine - INFO - Epoch(train) [85][2180/3757] lr: 1.000e-04 eta: 4:24:55 time: 0.257 data_time: 0.015 memory: 6404 grad_norm: 7.6223 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0286 loss: 1.0286 2022/06/30 16:17:31 - mmengine - INFO - Epoch(train) [85][2200/3757] lr: 1.000e-04 eta: 4:24:50 time: 0.363 data_time: 0.007 memory: 6404 grad_norm: 8.4097 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0315 loss: 1.0315 2022/06/30 16:17:36 - mmengine - INFO - Epoch(train) [85][2220/3757] lr: 1.000e-04 eta: 4:24:44 time: 0.248 data_time: 0.026 memory: 6404 grad_norm: 8.3630 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7763 loss: 0.7763 2022/06/30 16:17:41 - mmengine - INFO - Epoch(train) [85][2240/3757] lr: 1.000e-04 eta: 4:24:39 time: 0.259 data_time: 0.012 memory: 6404 grad_norm: 7.1910 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0401 loss: 1.0401 2022/06/30 16:17:47 - mmengine - INFO - Epoch(train) [85][2260/3757] lr: 1.000e-04 eta: 4:24:33 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 8.0783 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7702 loss: 0.7702 2022/06/30 16:17:53 - mmengine - INFO - Epoch(train) [85][2280/3757] lr: 1.000e-04 eta: 4:24:28 time: 0.273 data_time: 0.080 memory: 6404 grad_norm: 9.3930 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6961 loss: 0.6961 2022/06/30 16:17:59 - mmengine - INFO - Epoch(train) [85][2300/3757] lr: 1.000e-04 eta: 4:24:22 time: 0.261 data_time: 0.016 memory: 6404 grad_norm: 7.6095 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2120 loss: 1.2120 2022/06/30 16:18:04 - mmengine - INFO - Epoch(train) [85][2320/3757] lr: 1.000e-04 eta: 4:24:17 time: 0.271 data_time: 0.008 memory: 6404 grad_norm: 9.5703 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0533 loss: 1.0533 2022/06/30 16:18:09 - mmengine - INFO - Epoch(train) [85][2340/3757] lr: 1.000e-04 eta: 4:24:11 time: 0.258 data_time: 0.026 memory: 6404 grad_norm: 8.6990 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0102 loss: 1.0102 2022/06/30 16:18:15 - mmengine - INFO - Epoch(train) [85][2360/3757] lr: 1.000e-04 eta: 4:24:06 time: 0.267 data_time: 0.020 memory: 6404 grad_norm: 10.1352 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8690 loss: 0.8690 2022/06/30 16:18:21 - mmengine - INFO - Epoch(train) [85][2380/3757] lr: 1.000e-04 eta: 4:24:00 time: 0.267 data_time: 0.006 memory: 6404 grad_norm: 9.3083 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2779 loss: 1.2779 2022/06/30 16:18:26 - mmengine - INFO - Epoch(train) [85][2400/3757] lr: 1.000e-04 eta: 4:23:55 time: 0.263 data_time: 0.020 memory: 6404 grad_norm: 8.7815 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0206 loss: 1.0206 2022/06/30 16:18:29 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 16:18:31 - mmengine - INFO - Epoch(train) [85][2420/3757] lr: 1.000e-04 eta: 4:23:49 time: 0.243 data_time: 0.009 memory: 6404 grad_norm: 9.0419 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2857 loss: 1.2857 2022/06/30 16:18:36 - mmengine - INFO - Epoch(train) [85][2440/3757] lr: 1.000e-04 eta: 4:23:44 time: 0.307 data_time: 0.014 memory: 6404 grad_norm: 8.8689 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8921 loss: 0.8921 2022/06/30 16:18:42 - mmengine - INFO - Epoch(train) [85][2460/3757] lr: 1.000e-04 eta: 4:23:38 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 9.8782 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9883 loss: 0.9883 2022/06/30 16:18:47 - mmengine - INFO - Epoch(train) [85][2480/3757] lr: 1.000e-04 eta: 4:23:33 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 9.6329 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4056 loss: 1.4056 2022/06/30 16:18:52 - mmengine - INFO - Epoch(train) [85][2500/3757] lr: 1.000e-04 eta: 4:23:27 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 10.3809 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1015 loss: 1.1015 2022/06/30 16:18:58 - mmengine - INFO - Epoch(train) [85][2520/3757] lr: 1.000e-04 eta: 4:23:22 time: 0.245 data_time: 0.009 memory: 6404 grad_norm: 9.6120 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0229 loss: 1.0229 2022/06/30 16:19:03 - mmengine - INFO - Epoch(train) [85][2540/3757] lr: 1.000e-04 eta: 4:23:16 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 9.9845 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0537 loss: 1.0537 2022/06/30 16:19:09 - mmengine - INFO - Epoch(train) [85][2560/3757] lr: 1.000e-04 eta: 4:23:11 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.4356 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9441 loss: 0.9441 2022/06/30 16:19:15 - mmengine - INFO - Epoch(train) [85][2580/3757] lr: 1.000e-04 eta: 4:23:05 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 9.7178 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7268 loss: 0.7268 2022/06/30 16:19:20 - mmengine - INFO - Epoch(train) [85][2600/3757] lr: 1.000e-04 eta: 4:23:00 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 9.2009 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8738 loss: 0.8738 2022/06/30 16:19:26 - mmengine - INFO - Epoch(train) [85][2620/3757] lr: 1.000e-04 eta: 4:22:54 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 10.2637 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3310 loss: 1.3310 2022/06/30 16:19:31 - mmengine - INFO - Epoch(train) [85][2640/3757] lr: 1.000e-04 eta: 4:22:49 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 10.1532 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8943 loss: 0.8943 2022/06/30 16:19:38 - mmengine - INFO - Epoch(train) [85][2660/3757] lr: 1.000e-04 eta: 4:22:44 time: 0.246 data_time: 0.014 memory: 6404 grad_norm: 9.2874 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9396 loss: 0.9396 2022/06/30 16:19:43 - mmengine - INFO - Epoch(train) [85][2680/3757] lr: 1.000e-04 eta: 4:22:38 time: 0.256 data_time: 0.013 memory: 6404 grad_norm: 8.8250 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9412 loss: 0.9412 2022/06/30 16:19:48 - mmengine - INFO - Epoch(train) [85][2700/3757] lr: 1.000e-04 eta: 4:22:33 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 9.7016 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0272 loss: 1.0272 2022/06/30 16:19:54 - mmengine - INFO - Epoch(train) [85][2720/3757] lr: 1.000e-04 eta: 4:22:27 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 9.0224 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9773 loss: 0.9773 2022/06/30 16:20:00 - mmengine - INFO - Epoch(train) [85][2740/3757] lr: 1.000e-04 eta: 4:22:22 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 7.8165 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0599 loss: 1.0599 2022/06/30 16:20:05 - mmengine - INFO - Epoch(train) [85][2760/3757] lr: 1.000e-04 eta: 4:22:16 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 8.3249 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1831 loss: 1.1831 2022/06/30 16:20:10 - mmengine - INFO - Epoch(train) [85][2780/3757] lr: 1.000e-04 eta: 4:22:11 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 10.6200 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8073 loss: 0.8073 2022/06/30 16:20:15 - mmengine - INFO - Epoch(train) [85][2800/3757] lr: 1.000e-04 eta: 4:22:05 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.3907 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2565 loss: 1.2565 2022/06/30 16:20:21 - mmengine - INFO - Epoch(train) [85][2820/3757] lr: 1.000e-04 eta: 4:22:00 time: 0.254 data_time: 0.016 memory: 6404 grad_norm: 8.7705 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1409 loss: 1.1409 2022/06/30 16:20:27 - mmengine - INFO - Epoch(train) [85][2840/3757] lr: 1.000e-04 eta: 4:21:54 time: 0.271 data_time: 0.011 memory: 6404 grad_norm: 9.7931 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9522 loss: 0.9522 2022/06/30 16:20:32 - mmengine - INFO - Epoch(train) [85][2860/3757] lr: 1.000e-04 eta: 4:21:49 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 7.1961 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9992 loss: 0.9992 2022/06/30 16:20:38 - mmengine - INFO - Epoch(train) [85][2880/3757] lr: 1.000e-04 eta: 4:21:43 time: 0.259 data_time: 0.013 memory: 6404 grad_norm: 10.5940 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2335 loss: 1.2335 2022/06/30 16:20:43 - mmengine - INFO - Epoch(train) [85][2900/3757] lr: 1.000e-04 eta: 4:21:38 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 8.5407 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9004 loss: 0.9004 2022/06/30 16:20:48 - mmengine - INFO - Epoch(train) [85][2920/3757] lr: 1.000e-04 eta: 4:21:32 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 10.4062 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0461 loss: 1.0461 2022/06/30 16:20:53 - mmengine - INFO - Epoch(train) [85][2940/3757] lr: 1.000e-04 eta: 4:21:26 time: 0.262 data_time: 0.016 memory: 6404 grad_norm: 10.3668 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8812 loss: 0.8812 2022/06/30 16:20:59 - mmengine - INFO - Epoch(train) [85][2960/3757] lr: 1.000e-04 eta: 4:21:21 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 10.6140 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8891 loss: 0.8891 2022/06/30 16:21:04 - mmengine - INFO - Epoch(train) [85][2980/3757] lr: 1.000e-04 eta: 4:21:15 time: 0.265 data_time: 0.006 memory: 6404 grad_norm: 9.6997 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.1317 loss: 1.1317 2022/06/30 16:21:09 - mmengine - INFO - Epoch(train) [85][3000/3757] lr: 1.000e-04 eta: 4:21:10 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 10.7816 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0274 loss: 1.0274 2022/06/30 16:21:14 - mmengine - INFO - Epoch(train) [85][3020/3757] lr: 1.000e-04 eta: 4:21:04 time: 0.270 data_time: 0.009 memory: 6404 grad_norm: 9.6513 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9072 loss: 0.9072 2022/06/30 16:21:20 - mmengine - INFO - Epoch(train) [85][3040/3757] lr: 1.000e-04 eta: 4:20:59 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 10.5206 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9097 loss: 0.9097 2022/06/30 16:21:26 - mmengine - INFO - Epoch(train) [85][3060/3757] lr: 1.000e-04 eta: 4:20:53 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 8.0679 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1024 loss: 1.1024 2022/06/30 16:21:32 - mmengine - INFO - Epoch(train) [85][3080/3757] lr: 1.000e-04 eta: 4:20:48 time: 0.690 data_time: 0.009 memory: 6404 grad_norm: 9.6026 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1270 loss: 1.1270 2022/06/30 16:21:38 - mmengine - INFO - Epoch(train) [85][3100/3757] lr: 1.000e-04 eta: 4:20:43 time: 0.246 data_time: 0.006 memory: 6404 grad_norm: 10.7168 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0056 loss: 1.0056 2022/06/30 16:21:43 - mmengine - INFO - Epoch(train) [85][3120/3757] lr: 1.000e-04 eta: 4:20:37 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 7.9918 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0375 loss: 1.0375 2022/06/30 16:21:49 - mmengine - INFO - Epoch(train) [85][3140/3757] lr: 1.000e-04 eta: 4:20:32 time: 0.292 data_time: 0.007 memory: 6404 grad_norm: 9.7975 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6169 loss: 0.6169 2022/06/30 16:21:54 - mmengine - INFO - Epoch(train) [85][3160/3757] lr: 1.000e-04 eta: 4:20:26 time: 0.250 data_time: 0.021 memory: 6404 grad_norm: 10.0311 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1917 loss: 1.1917 2022/06/30 16:21:59 - mmengine - INFO - Epoch(train) [85][3180/3757] lr: 1.000e-04 eta: 4:20:21 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 8.9159 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1690 loss: 1.1690 2022/06/30 16:22:04 - mmengine - INFO - Epoch(train) [85][3200/3757] lr: 1.000e-04 eta: 4:20:15 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.1564 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9968 loss: 0.9968 2022/06/30 16:22:10 - mmengine - INFO - Epoch(train) [85][3220/3757] lr: 1.000e-04 eta: 4:20:09 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.0438 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1659 loss: 1.1659 2022/06/30 16:22:15 - mmengine - INFO - Epoch(train) [85][3240/3757] lr: 1.000e-04 eta: 4:20:04 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 9.0562 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2568 loss: 1.2568 2022/06/30 16:22:20 - mmengine - INFO - Epoch(train) [85][3260/3757] lr: 1.000e-04 eta: 4:19:58 time: 0.377 data_time: 0.015 memory: 6404 grad_norm: 9.2627 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9615 loss: 0.9615 2022/06/30 16:22:26 - mmengine - INFO - Epoch(train) [85][3280/3757] lr: 1.000e-04 eta: 4:19:53 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 9.4344 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0927 loss: 1.0927 2022/06/30 16:22:31 - mmengine - INFO - Epoch(train) [85][3300/3757] lr: 1.000e-04 eta: 4:19:47 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 10.1378 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6944 loss: 0.6944 2022/06/30 16:22:37 - mmengine - INFO - Epoch(train) [85][3320/3757] lr: 1.000e-04 eta: 4:19:42 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 10.2246 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7313 loss: 0.7313 2022/06/30 16:22:43 - mmengine - INFO - Epoch(train) [85][3340/3757] lr: 1.000e-04 eta: 4:19:37 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 8.6529 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8558 loss: 0.8558 2022/06/30 16:22:48 - mmengine - INFO - Epoch(train) [85][3360/3757] lr: 1.000e-04 eta: 4:19:31 time: 0.309 data_time: 0.013 memory: 6404 grad_norm: 8.4742 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7934 loss: 0.7934 2022/06/30 16:22:54 - mmengine - INFO - Epoch(train) [85][3380/3757] lr: 1.000e-04 eta: 4:19:26 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 9.7591 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2355 loss: 1.2355 2022/06/30 16:23:00 - mmengine - INFO - Epoch(train) [85][3400/3757] lr: 1.000e-04 eta: 4:19:20 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.7976 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0709 loss: 1.0709 2022/06/30 16:23:03 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 16:23:05 - mmengine - INFO - Epoch(train) [85][3420/3757] lr: 1.000e-04 eta: 4:19:15 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 8.6436 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8011 loss: 0.8011 2022/06/30 16:23:10 - mmengine - INFO - Epoch(train) [85][3440/3757] lr: 1.000e-04 eta: 4:19:09 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 9.5875 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1918 loss: 1.1918 2022/06/30 16:23:18 - mmengine - INFO - Epoch(train) [85][3460/3757] lr: 1.000e-04 eta: 4:19:04 time: 0.256 data_time: 0.026 memory: 6404 grad_norm: 8.6357 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9223 loss: 0.9223 2022/06/30 16:23:23 - mmengine - INFO - Epoch(train) [85][3480/3757] lr: 1.000e-04 eta: 4:18:58 time: 0.261 data_time: 0.014 memory: 6404 grad_norm: 10.9460 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1007 loss: 1.1007 2022/06/30 16:23:28 - mmengine - INFO - Epoch(train) [85][3500/3757] lr: 1.000e-04 eta: 4:18:53 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 9.3149 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 0.8981 loss: 0.8981 2022/06/30 16:23:34 - mmengine - INFO - Epoch(train) [85][3520/3757] lr: 1.000e-04 eta: 4:18:47 time: 0.265 data_time: 0.010 memory: 6404 grad_norm: 8.2253 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0275 loss: 1.0275 2022/06/30 16:23:39 - mmengine - INFO - Epoch(train) [85][3540/3757] lr: 1.000e-04 eta: 4:18:42 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 7.4039 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9688 loss: 0.9688 2022/06/30 16:23:44 - mmengine - INFO - Epoch(train) [85][3560/3757] lr: 1.000e-04 eta: 4:18:36 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 9.5782 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0449 loss: 1.0449 2022/06/30 16:23:49 - mmengine - INFO - Epoch(train) [85][3580/3757] lr: 1.000e-04 eta: 4:18:31 time: 0.258 data_time: 0.023 memory: 6404 grad_norm: 11.2463 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9939 loss: 0.9939 2022/06/30 16:23:55 - mmengine - INFO - Epoch(train) [85][3600/3757] lr: 1.000e-04 eta: 4:18:25 time: 0.290 data_time: 0.013 memory: 6404 grad_norm: 9.0722 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0527 loss: 1.0527 2022/06/30 16:24:00 - mmengine - INFO - Epoch(train) [85][3620/3757] lr: 1.000e-04 eta: 4:18:20 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 8.2317 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1585 loss: 1.1585 2022/06/30 16:24:06 - mmengine - INFO - Epoch(train) [85][3640/3757] lr: 1.000e-04 eta: 4:18:14 time: 0.428 data_time: 0.230 memory: 6404 grad_norm: 9.2638 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7206 loss: 0.7206 2022/06/30 16:24:11 - mmengine - INFO - Epoch(train) [85][3660/3757] lr: 1.000e-04 eta: 4:18:09 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 8.6253 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8845 loss: 0.8845 2022/06/30 16:24:17 - mmengine - INFO - Epoch(train) [85][3680/3757] lr: 1.000e-04 eta: 4:18:03 time: 0.262 data_time: 0.009 memory: 6404 grad_norm: 7.7574 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9502 loss: 0.9502 2022/06/30 16:24:23 - mmengine - INFO - Epoch(train) [85][3700/3757] lr: 1.000e-04 eta: 4:17:58 time: 0.245 data_time: 0.018 memory: 6404 grad_norm: 9.0275 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2163 loss: 1.2163 2022/06/30 16:24:28 - mmengine - INFO - Epoch(train) [85][3720/3757] lr: 1.000e-04 eta: 4:17:52 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 11.2377 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9250 loss: 0.9250 2022/06/30 16:24:34 - mmengine - INFO - Epoch(train) [85][3740/3757] lr: 1.000e-04 eta: 4:17:47 time: 0.278 data_time: 0.008 memory: 6404 grad_norm: 9.1171 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1165 loss: 1.1165 2022/06/30 16:24:38 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 16:24:38 - mmengine - INFO - Saving checkpoint at 85 epochs 2022/06/30 16:24:52 - mmengine - INFO - Epoch(val) [85][20/310] eta: 0:01:50 time: 0.087 data_time: 0.005 memory: 6404 2022/06/30 16:24:59 - mmengine - INFO - Epoch(val) [85][40/310] eta: 0:01:28 time: 2.323 data_time: 2.237 memory: 1479 2022/06/30 16:25:02 - mmengine - INFO - Epoch(val) [85][60/310] eta: 0:01:04 time: 0.081 data_time: 0.007 memory: 1479 2022/06/30 16:25:09 - mmengine - INFO - Epoch(val) [85][80/310] eta: 0:01:23 time: 0.082 data_time: 0.006 memory: 1479 2022/06/30 16:25:15 - mmengine - INFO - Epoch(val) [85][100/310] eta: 0:01:01 time: 2.153 data_time: 2.066 memory: 1479 2022/06/30 16:25:19 - mmengine - INFO - Epoch(val) [85][120/310] eta: 0:00:53 time: 0.085 data_time: 0.007 memory: 1479 2022/06/30 16:25:25 - mmengine - INFO - Epoch(val) [85][140/310] eta: 0:00:49 time: 0.080 data_time: 0.007 memory: 1479 2022/06/30 16:25:32 - mmengine - INFO - Epoch(val) [85][160/310] eta: 0:00:54 time: 2.877 data_time: 2.790 memory: 1479 2022/06/30 16:25:35 - mmengine - INFO - Epoch(val) [85][180/310] eta: 0:00:38 time: 0.083 data_time: 0.006 memory: 1479 2022/06/30 16:25:41 - mmengine - INFO - Epoch(val) [85][200/310] eta: 0:00:32 time: 0.079 data_time: 0.005 memory: 1479 2022/06/30 16:25:47 - mmengine - INFO - Epoch(val) [85][220/310] eta: 0:00:27 time: 2.285 data_time: 2.187 memory: 1479 2022/06/30 16:25:50 - mmengine - INFO - Epoch(val) [85][240/310] eta: 0:00:19 time: 0.084 data_time: 0.006 memory: 1479 2022/06/30 16:25:56 - mmengine - INFO - Epoch(val) [85][260/310] eta: 0:00:15 time: 0.092 data_time: 0.005 memory: 1479 2022/06/30 16:26:00 - mmengine - INFO - Epoch(val) [85][280/310] eta: 0:00:03 time: 0.611 data_time: 0.538 memory: 1479 2022/06/30 16:26:02 - mmengine - INFO - Epoch(val) [85][300/310] eta: 0:00:01 time: 0.078 data_time: 0.005 memory: 1479 2022/06/30 16:26:04 - mmengine - INFO - Epoch(val) [85][310/310] acc/top1: 0.6733 acc/top5: 0.8712 acc/mean1: 0.6731 2022/06/30 16:26:13 - mmengine - INFO - Epoch(train) [86][20/3757] lr: 1.000e-04 eta: 4:17:37 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 8.6155 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0575 loss: 1.0575 2022/06/30 16:26:19 - mmengine - INFO - Epoch(train) [86][40/3757] lr: 1.000e-04 eta: 4:17:31 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 9.6738 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1331 loss: 1.1331 2022/06/30 16:26:24 - mmengine - INFO - Epoch(train) [86][60/3757] lr: 1.000e-04 eta: 4:17:26 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 9.6378 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2126 loss: 1.2126 2022/06/30 16:26:30 - mmengine - INFO - Epoch(train) [86][80/3757] lr: 1.000e-04 eta: 4:17:21 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.9595 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9360 loss: 0.9360 2022/06/30 16:26:35 - mmengine - INFO - Epoch(train) [86][100/3757] lr: 1.000e-04 eta: 4:17:15 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 8.3396 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9586 loss: 0.9586 2022/06/30 16:26:41 - mmengine - INFO - Epoch(train) [86][120/3757] lr: 1.000e-04 eta: 4:17:10 time: 0.259 data_time: 0.013 memory: 6404 grad_norm: 9.4491 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8383 loss: 0.8383 2022/06/30 16:26:46 - mmengine - INFO - Epoch(train) [86][140/3757] lr: 1.000e-04 eta: 4:17:04 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.3723 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2812 loss: 1.2812 2022/06/30 16:26:52 - mmengine - INFO - Epoch(train) [86][160/3757] lr: 1.000e-04 eta: 4:16:59 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 8.5266 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8126 loss: 0.8126 2022/06/30 16:26:58 - mmengine - INFO - Epoch(train) [86][180/3757] lr: 1.000e-04 eta: 4:16:53 time: 0.296 data_time: 0.012 memory: 6404 grad_norm: 7.9672 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0111 loss: 1.0111 2022/06/30 16:27:03 - mmengine - INFO - Epoch(train) [86][200/3757] lr: 1.000e-04 eta: 4:16:48 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 8.7577 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9936 loss: 0.9936 2022/06/30 16:27:08 - mmengine - INFO - Epoch(train) [86][220/3757] lr: 1.000e-04 eta: 4:16:42 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 9.8483 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0500 loss: 1.0500 2022/06/30 16:27:14 - mmengine - INFO - Epoch(train) [86][240/3757] lr: 1.000e-04 eta: 4:16:37 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 10.0301 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9114 loss: 0.9114 2022/06/30 16:27:20 - mmengine - INFO - Epoch(train) [86][260/3757] lr: 1.000e-04 eta: 4:16:31 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 9.1292 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0456 loss: 1.0456 2022/06/30 16:27:25 - mmengine - INFO - Epoch(train) [86][280/3757] lr: 1.000e-04 eta: 4:16:26 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 6.9439 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1291 loss: 1.1291 2022/06/30 16:27:30 - mmengine - INFO - Epoch(train) [86][300/3757] lr: 1.000e-04 eta: 4:16:20 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 9.5654 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8806 loss: 0.8806 2022/06/30 16:27:36 - mmengine - INFO - Epoch(train) [86][320/3757] lr: 1.000e-04 eta: 4:16:15 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 9.3544 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0003 loss: 1.0003 2022/06/30 16:27:41 - mmengine - INFO - Epoch(train) [86][340/3757] lr: 1.000e-04 eta: 4:16:09 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 9.5485 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0223 loss: 1.0223 2022/06/30 16:27:47 - mmengine - INFO - Epoch(train) [86][360/3757] lr: 1.000e-04 eta: 4:16:04 time: 0.276 data_time: 0.009 memory: 6404 grad_norm: 7.8878 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7113 loss: 0.7113 2022/06/30 16:27:52 - mmengine - INFO - Epoch(train) [86][380/3757] lr: 1.000e-04 eta: 4:15:58 time: 0.311 data_time: 0.019 memory: 6404 grad_norm: 8.8823 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2237 loss: 1.2237 2022/06/30 16:27:58 - mmengine - INFO - Epoch(train) [86][400/3757] lr: 1.000e-04 eta: 4:15:53 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 8.8514 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8998 loss: 0.8998 2022/06/30 16:28:03 - mmengine - INFO - Epoch(train) [86][420/3757] lr: 1.000e-04 eta: 4:15:47 time: 0.243 data_time: 0.015 memory: 6404 grad_norm: 8.9677 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1687 loss: 1.1687 2022/06/30 16:28:08 - mmengine - INFO - Epoch(train) [86][440/3757] lr: 1.000e-04 eta: 4:15:42 time: 0.287 data_time: 0.021 memory: 6404 grad_norm: 7.9108 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1853 loss: 1.1853 2022/06/30 16:28:14 - mmengine - INFO - Epoch(train) [86][460/3757] lr: 1.000e-04 eta: 4:15:36 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 9.1015 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8639 loss: 0.8639 2022/06/30 16:28:19 - mmengine - INFO - Epoch(train) [86][480/3757] lr: 1.000e-04 eta: 4:15:31 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 9.9515 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9542 loss: 0.9542 2022/06/30 16:28:24 - mmengine - INFO - Epoch(train) [86][500/3757] lr: 1.000e-04 eta: 4:15:25 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 10.7351 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9617 loss: 0.9617 2022/06/30 16:28:31 - mmengine - INFO - Epoch(train) [86][520/3757] lr: 1.000e-04 eta: 4:15:20 time: 0.290 data_time: 0.007 memory: 6404 grad_norm: 9.6912 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8537 loss: 0.8537 2022/06/30 16:28:36 - mmengine - INFO - Epoch(train) [86][540/3757] lr: 1.000e-04 eta: 4:15:14 time: 0.261 data_time: 0.012 memory: 6404 grad_norm: 8.8405 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9918 loss: 0.9918 2022/06/30 16:28:41 - mmengine - INFO - Epoch(train) [86][560/3757] lr: 1.000e-04 eta: 4:15:09 time: 0.256 data_time: 0.013 memory: 6404 grad_norm: 10.4418 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9485 loss: 0.9485 2022/06/30 16:28:47 - mmengine - INFO - Epoch(train) [86][580/3757] lr: 1.000e-04 eta: 4:15:03 time: 0.453 data_time: 0.014 memory: 6404 grad_norm: 9.8444 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9882 loss: 0.9882 2022/06/30 16:28:52 - mmengine - INFO - Epoch(train) [86][600/3757] lr: 1.000e-04 eta: 4:14:58 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 9.4743 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1694 loss: 1.1694 2022/06/30 16:28:57 - mmengine - INFO - Epoch(train) [86][620/3757] lr: 1.000e-04 eta: 4:14:52 time: 0.255 data_time: 0.014 memory: 6404 grad_norm: 9.4178 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0570 loss: 1.0570 2022/06/30 16:29:03 - mmengine - INFO - Epoch(train) [86][640/3757] lr: 1.000e-04 eta: 4:14:47 time: 0.270 data_time: 0.027 memory: 6404 grad_norm: 10.9095 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0425 loss: 1.0425 2022/06/30 16:29:07 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 16:29:08 - mmengine - INFO - Epoch(train) [86][660/3757] lr: 1.000e-04 eta: 4:14:41 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 9.7232 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0249 loss: 1.0249 2022/06/30 16:29:13 - mmengine - INFO - Epoch(train) [86][680/3757] lr: 1.000e-04 eta: 4:14:36 time: 0.252 data_time: 0.020 memory: 6404 grad_norm: 9.9803 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1246 loss: 1.1246 2022/06/30 16:29:19 - mmengine - INFO - Epoch(train) [86][700/3757] lr: 1.000e-04 eta: 4:14:30 time: 0.275 data_time: 0.011 memory: 6404 grad_norm: 7.3035 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8842 loss: 0.8842 2022/06/30 16:29:24 - mmengine - INFO - Epoch(train) [86][720/3757] lr: 1.000e-04 eta: 4:14:25 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 8.3993 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9785 loss: 0.9785 2022/06/30 16:29:30 - mmengine - INFO - Epoch(train) [86][740/3757] lr: 1.000e-04 eta: 4:14:19 time: 0.273 data_time: 0.016 memory: 6404 grad_norm: 11.2256 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9305 loss: 0.9305 2022/06/30 16:29:35 - mmengine - INFO - Epoch(train) [86][760/3757] lr: 1.000e-04 eta: 4:14:14 time: 0.548 data_time: 0.024 memory: 6404 grad_norm: 9.9427 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4137 loss: 1.4137 2022/06/30 16:29:41 - mmengine - INFO - Epoch(train) [86][780/3757] lr: 1.000e-04 eta: 4:14:08 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 7.9751 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9898 loss: 0.9898 2022/06/30 16:29:47 - mmengine - INFO - Epoch(train) [86][800/3757] lr: 1.000e-04 eta: 4:14:03 time: 0.271 data_time: 0.011 memory: 6404 grad_norm: 7.9850 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8679 loss: 0.8679 2022/06/30 16:29:52 - mmengine - INFO - Epoch(train) [86][820/3757] lr: 1.000e-04 eta: 4:13:57 time: 0.338 data_time: 0.023 memory: 6404 grad_norm: 8.4319 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0236 loss: 1.0236 2022/06/30 16:29:58 - mmengine - INFO - Epoch(train) [86][840/3757] lr: 1.000e-04 eta: 4:13:52 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 9.7004 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1196 loss: 1.1196 2022/06/30 16:30:03 - mmengine - INFO - Epoch(train) [86][860/3757] lr: 1.000e-04 eta: 4:13:46 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 7.7824 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9618 loss: 0.9618 2022/06/30 16:30:09 - mmengine - INFO - Epoch(train) [86][880/3757] lr: 1.000e-04 eta: 4:13:41 time: 0.288 data_time: 0.039 memory: 6404 grad_norm: 9.8356 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8911 loss: 0.8911 2022/06/30 16:30:14 - mmengine - INFO - Epoch(train) [86][900/3757] lr: 1.000e-04 eta: 4:13:35 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 10.2644 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7270 loss: 0.7270 2022/06/30 16:30:20 - mmengine - INFO - Epoch(train) [86][920/3757] lr: 1.000e-04 eta: 4:13:30 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 9.7450 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9618 loss: 0.9618 2022/06/30 16:30:25 - mmengine - INFO - Epoch(train) [86][940/3757] lr: 1.000e-04 eta: 4:13:24 time: 0.271 data_time: 0.022 memory: 6404 grad_norm: 8.9375 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6428 loss: 0.6428 2022/06/30 16:30:31 - mmengine - INFO - Epoch(train) [86][960/3757] lr: 1.000e-04 eta: 4:13:19 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 8.6806 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2513 loss: 1.2513 2022/06/30 16:30:36 - mmengine - INFO - Epoch(train) [86][980/3757] lr: 1.000e-04 eta: 4:13:13 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 7.4416 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2262 loss: 1.2262 2022/06/30 16:30:41 - mmengine - INFO - Epoch(train) [86][1000/3757] lr: 1.000e-04 eta: 4:13:08 time: 0.250 data_time: 0.027 memory: 6404 grad_norm: 7.8485 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9212 loss: 0.9212 2022/06/30 16:30:47 - mmengine - INFO - Epoch(train) [86][1020/3757] lr: 1.000e-04 eta: 4:13:02 time: 0.412 data_time: 0.019 memory: 6404 grad_norm: 8.6783 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1831 loss: 1.1831 2022/06/30 16:30:52 - mmengine - INFO - Epoch(train) [86][1040/3757] lr: 1.000e-04 eta: 4:12:57 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 7.3604 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9137 loss: 0.9137 2022/06/30 16:30:58 - mmengine - INFO - Epoch(train) [86][1060/3757] lr: 1.000e-04 eta: 4:12:51 time: 0.257 data_time: 0.045 memory: 6404 grad_norm: 9.1163 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8996 loss: 0.8996 2022/06/30 16:31:04 - mmengine - INFO - Epoch(train) [86][1080/3757] lr: 1.000e-04 eta: 4:12:46 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 8.8756 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9660 loss: 0.9660 2022/06/30 16:31:09 - mmengine - INFO - Epoch(train) [86][1100/3757] lr: 1.000e-04 eta: 4:12:40 time: 0.248 data_time: 0.013 memory: 6404 grad_norm: 10.1385 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0889 loss: 1.0889 2022/06/30 16:31:15 - mmengine - INFO - Epoch(train) [86][1120/3757] lr: 1.000e-04 eta: 4:12:35 time: 0.266 data_time: 0.019 memory: 6404 grad_norm: 9.1790 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0280 loss: 1.0280 2022/06/30 16:31:21 - mmengine - INFO - Epoch(train) [86][1140/3757] lr: 1.000e-04 eta: 4:12:29 time: 0.395 data_time: 0.017 memory: 6404 grad_norm: 10.4947 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2877 loss: 1.2877 2022/06/30 16:31:26 - mmengine - INFO - Epoch(train) [86][1160/3757] lr: 1.000e-04 eta: 4:12:24 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 9.1768 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9555 loss: 0.9555 2022/06/30 16:31:31 - mmengine - INFO - Epoch(train) [86][1180/3757] lr: 1.000e-04 eta: 4:12:18 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 8.0436 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3930 loss: 1.3930 2022/06/30 16:31:36 - mmengine - INFO - Epoch(train) [86][1200/3757] lr: 1.000e-04 eta: 4:12:13 time: 0.271 data_time: 0.029 memory: 6404 grad_norm: 8.4798 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3618 loss: 1.3618 2022/06/30 16:31:42 - mmengine - INFO - Epoch(train) [86][1220/3757] lr: 1.000e-04 eta: 4:12:07 time: 0.256 data_time: 0.015 memory: 6404 grad_norm: 8.7105 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0699 loss: 1.0699 2022/06/30 16:31:48 - mmengine - INFO - Epoch(train) [86][1240/3757] lr: 1.000e-04 eta: 4:12:02 time: 0.278 data_time: 0.010 memory: 6404 grad_norm: 9.1714 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8122 loss: 0.8122 2022/06/30 16:31:53 - mmengine - INFO - Epoch(train) [86][1260/3757] lr: 1.000e-04 eta: 4:11:57 time: 0.266 data_time: 0.014 memory: 6404 grad_norm: 9.4825 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3109 loss: 1.3109 2022/06/30 16:31:58 - mmengine - INFO - Epoch(train) [86][1280/3757] lr: 1.000e-04 eta: 4:11:51 time: 0.261 data_time: 0.012 memory: 6404 grad_norm: 8.5172 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1302 loss: 1.1302 2022/06/30 16:32:04 - mmengine - INFO - Epoch(train) [86][1300/3757] lr: 1.000e-04 eta: 4:11:45 time: 0.262 data_time: 0.012 memory: 6404 grad_norm: 10.1317 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1246 loss: 1.1246 2022/06/30 16:32:09 - mmengine - INFO - Epoch(train) [86][1320/3757] lr: 1.000e-04 eta: 4:11:40 time: 0.265 data_time: 0.016 memory: 6404 grad_norm: 6.0128 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0814 loss: 1.0814 2022/06/30 16:32:14 - mmengine - INFO - Epoch(train) [86][1340/3757] lr: 1.000e-04 eta: 4:11:34 time: 0.242 data_time: 0.014 memory: 6404 grad_norm: 6.4529 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9042 loss: 0.9042 2022/06/30 16:32:20 - mmengine - INFO - Epoch(train) [86][1360/3757] lr: 1.000e-04 eta: 4:11:29 time: 0.257 data_time: 0.027 memory: 6404 grad_norm: 9.9405 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2444 loss: 1.2444 2022/06/30 16:32:25 - mmengine - INFO - Epoch(train) [86][1380/3757] lr: 1.000e-04 eta: 4:11:23 time: 0.361 data_time: 0.007 memory: 6404 grad_norm: 8.7221 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1714 loss: 1.1714 2022/06/30 16:32:31 - mmengine - INFO - Epoch(train) [86][1400/3757] lr: 1.000e-04 eta: 4:11:18 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 8.5382 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1359 loss: 1.1359 2022/06/30 16:32:36 - mmengine - INFO - Epoch(train) [86][1420/3757] lr: 1.000e-04 eta: 4:11:12 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 9.4553 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9182 loss: 0.9182 2022/06/30 16:32:42 - mmengine - INFO - Epoch(train) [86][1440/3757] lr: 1.000e-04 eta: 4:11:07 time: 0.255 data_time: 0.017 memory: 6404 grad_norm: 7.6795 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8475 loss: 0.8475 2022/06/30 16:32:48 - mmengine - INFO - Epoch(train) [86][1460/3757] lr: 1.000e-04 eta: 4:11:01 time: 0.275 data_time: 0.069 memory: 6404 grad_norm: 9.0217 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9215 loss: 0.9215 2022/06/30 16:32:53 - mmengine - INFO - Epoch(train) [86][1480/3757] lr: 1.000e-04 eta: 4:10:56 time: 0.250 data_time: 0.024 memory: 6404 grad_norm: 10.0768 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1972 loss: 1.1972 2022/06/30 16:32:59 - mmengine - INFO - Epoch(train) [86][1500/3757] lr: 1.000e-04 eta: 4:10:51 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 7.2721 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0269 loss: 1.0269 2022/06/30 16:33:04 - mmengine - INFO - Epoch(train) [86][1520/3757] lr: 1.000e-04 eta: 4:10:45 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 9.6956 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9695 loss: 0.9695 2022/06/30 16:33:10 - mmengine - INFO - Epoch(train) [86][1540/3757] lr: 1.000e-04 eta: 4:10:40 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 9.2592 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1078 loss: 1.1078 2022/06/30 16:33:15 - mmengine - INFO - Epoch(train) [86][1560/3757] lr: 1.000e-04 eta: 4:10:34 time: 0.249 data_time: 0.024 memory: 6404 grad_norm: 9.9741 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8022 loss: 0.8022 2022/06/30 16:33:21 - mmengine - INFO - Epoch(train) [86][1580/3757] lr: 1.000e-04 eta: 4:10:29 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 9.8045 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2861 loss: 1.2861 2022/06/30 16:33:26 - mmengine - INFO - Epoch(train) [86][1600/3757] lr: 1.000e-04 eta: 4:10:23 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 8.3537 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7991 loss: 0.7991 2022/06/30 16:33:32 - mmengine - INFO - Epoch(train) [86][1620/3757] lr: 1.000e-04 eta: 4:10:18 time: 0.256 data_time: 0.024 memory: 6404 grad_norm: 9.6112 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3776 loss: 1.3776 2022/06/30 16:33:37 - mmengine - INFO - Epoch(train) [86][1640/3757] lr: 1.000e-04 eta: 4:10:12 time: 0.286 data_time: 0.008 memory: 6404 grad_norm: 10.3831 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8709 loss: 0.8709 2022/06/30 16:33:42 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 16:33:43 - mmengine - INFO - Epoch(train) [86][1660/3757] lr: 1.000e-04 eta: 4:10:07 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 9.8565 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9786 loss: 0.9786 2022/06/30 16:33:49 - mmengine - INFO - Epoch(train) [86][1680/3757] lr: 1.000e-04 eta: 4:10:01 time: 0.252 data_time: 0.045 memory: 6404 grad_norm: 8.9206 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0816 loss: 1.0816 2022/06/30 16:33:54 - mmengine - INFO - Epoch(train) [86][1700/3757] lr: 1.000e-04 eta: 4:09:56 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 10.0314 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7520 loss: 0.7520 2022/06/30 16:33:59 - mmengine - INFO - Epoch(train) [86][1720/3757] lr: 1.000e-04 eta: 4:09:50 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.0884 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1792 loss: 1.1792 2022/06/30 16:34:04 - mmengine - INFO - Epoch(train) [86][1740/3757] lr: 1.000e-04 eta: 4:09:45 time: 0.263 data_time: 0.017 memory: 6404 grad_norm: 9.8652 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1102 loss: 1.1102 2022/06/30 16:34:11 - mmengine - INFO - Epoch(train) [86][1760/3757] lr: 1.000e-04 eta: 4:09:39 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 9.1840 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3918 loss: 1.3918 2022/06/30 16:34:16 - mmengine - INFO - Epoch(train) [86][1780/3757] lr: 1.000e-04 eta: 4:09:34 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 8.6537 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2955 loss: 1.2955 2022/06/30 16:34:21 - mmengine - INFO - Epoch(train) [86][1800/3757] lr: 1.000e-04 eta: 4:09:28 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 9.6161 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7598 loss: 0.7598 2022/06/30 16:34:26 - mmengine - INFO - Epoch(train) [86][1820/3757] lr: 1.000e-04 eta: 4:09:23 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 9.5078 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2796 loss: 1.2796 2022/06/30 16:34:32 - mmengine - INFO - Epoch(train) [86][1840/3757] lr: 1.000e-04 eta: 4:09:17 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 7.3447 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9000 loss: 0.9000 2022/06/30 16:34:37 - mmengine - INFO - Epoch(train) [86][1860/3757] lr: 1.000e-04 eta: 4:09:12 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 8.0526 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0850 loss: 1.0850 2022/06/30 16:34:43 - mmengine - INFO - Epoch(train) [86][1880/3757] lr: 1.000e-04 eta: 4:09:06 time: 0.278 data_time: 0.007 memory: 6404 grad_norm: 9.1522 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5085 loss: 1.5085 2022/06/30 16:34:49 - mmengine - INFO - Epoch(train) [86][1900/3757] lr: 1.000e-04 eta: 4:09:01 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 8.7329 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8248 loss: 0.8248 2022/06/30 16:34:54 - mmengine - INFO - Epoch(train) [86][1920/3757] lr: 1.000e-04 eta: 4:08:55 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 9.3531 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9091 loss: 0.9091 2022/06/30 16:34:59 - mmengine - INFO - Epoch(train) [86][1940/3757] lr: 1.000e-04 eta: 4:08:50 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 9.6394 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1429 loss: 1.1429 2022/06/30 16:35:05 - mmengine - INFO - Epoch(train) [86][1960/3757] lr: 1.000e-04 eta: 4:08:44 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 9.1995 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0010 loss: 1.0010 2022/06/30 16:35:11 - mmengine - INFO - Epoch(train) [86][1980/3757] lr: 1.000e-04 eta: 4:08:39 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 8.0051 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0877 loss: 1.0877 2022/06/30 16:35:16 - mmengine - INFO - Epoch(train) [86][2000/3757] lr: 1.000e-04 eta: 4:08:33 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 10.4614 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8918 loss: 0.8918 2022/06/30 16:35:22 - mmengine - INFO - Epoch(train) [86][2020/3757] lr: 1.000e-04 eta: 4:08:28 time: 0.253 data_time: 0.018 memory: 6404 grad_norm: 9.3388 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0869 loss: 1.0869 2022/06/30 16:35:27 - mmengine - INFO - Epoch(train) [86][2040/3757] lr: 1.000e-04 eta: 4:08:22 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.3230 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8003 loss: 0.8003 2022/06/30 16:35:33 - mmengine - INFO - Epoch(train) [86][2060/3757] lr: 1.000e-04 eta: 4:08:17 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 8.6302 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4662 loss: 1.4662 2022/06/30 16:35:38 - mmengine - INFO - Epoch(train) [86][2080/3757] lr: 1.000e-04 eta: 4:08:11 time: 0.360 data_time: 0.032 memory: 6404 grad_norm: 8.7570 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6742 loss: 1.6742 2022/06/30 16:35:44 - mmengine - INFO - Epoch(train) [86][2100/3757] lr: 1.000e-04 eta: 4:08:06 time: 0.262 data_time: 0.012 memory: 6404 grad_norm: 7.6652 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0987 loss: 1.0987 2022/06/30 16:35:49 - mmengine - INFO - Epoch(train) [86][2120/3757] lr: 1.000e-04 eta: 4:08:00 time: 0.268 data_time: 0.009 memory: 6404 grad_norm: 7.0014 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0657 loss: 1.0657 2022/06/30 16:35:55 - mmengine - INFO - Epoch(train) [86][2140/3757] lr: 1.000e-04 eta: 4:07:55 time: 0.296 data_time: 0.026 memory: 6404 grad_norm: 8.4856 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9072 loss: 0.9072 2022/06/30 16:36:01 - mmengine - INFO - Epoch(train) [86][2160/3757] lr: 1.000e-04 eta: 4:07:49 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 8.9078 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9800 loss: 0.9800 2022/06/30 16:36:06 - mmengine - INFO - Epoch(train) [86][2180/3757] lr: 1.000e-04 eta: 4:07:44 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 8.9295 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1430 loss: 1.1430 2022/06/30 16:36:11 - mmengine - INFO - Epoch(train) [86][2200/3757] lr: 1.000e-04 eta: 4:07:38 time: 0.258 data_time: 0.013 memory: 6404 grad_norm: 7.6573 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.7758 loss: 0.7758 2022/06/30 16:36:16 - mmengine - INFO - Epoch(train) [86][2220/3757] lr: 1.000e-04 eta: 4:07:33 time: 0.268 data_time: 0.017 memory: 6404 grad_norm: 8.1669 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9190 loss: 0.9190 2022/06/30 16:36:22 - mmengine - INFO - Epoch(train) [86][2240/3757] lr: 1.000e-04 eta: 4:07:27 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 8.8995 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1630 loss: 1.1630 2022/06/30 16:36:29 - mmengine - INFO - Epoch(train) [86][2260/3757] lr: 1.000e-04 eta: 4:07:22 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 9.5716 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7936 loss: 0.7936 2022/06/30 16:36:34 - mmengine - INFO - Epoch(train) [86][2280/3757] lr: 1.000e-04 eta: 4:07:17 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.4006 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8879 loss: 0.8879 2022/06/30 16:36:40 - mmengine - INFO - Epoch(train) [86][2300/3757] lr: 1.000e-04 eta: 4:07:11 time: 0.263 data_time: 0.008 memory: 6404 grad_norm: 7.7676 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0017 loss: 1.0017 2022/06/30 16:36:45 - mmengine - INFO - Epoch(train) [86][2320/3757] lr: 1.000e-04 eta: 4:07:06 time: 0.261 data_time: 0.011 memory: 6404 grad_norm: 7.3349 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0948 loss: 1.0948 2022/06/30 16:36:50 - mmengine - INFO - Epoch(train) [86][2340/3757] lr: 1.000e-04 eta: 4:07:00 time: 0.264 data_time: 0.017 memory: 6404 grad_norm: 9.2209 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9074 loss: 0.9074 2022/06/30 16:36:56 - mmengine - INFO - Epoch(train) [86][2360/3757] lr: 1.000e-04 eta: 4:06:55 time: 0.276 data_time: 0.013 memory: 6404 grad_norm: 9.1024 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2339 loss: 1.2339 2022/06/30 16:37:01 - mmengine - INFO - Epoch(train) [86][2380/3757] lr: 1.000e-04 eta: 4:06:49 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.7635 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7298 loss: 0.7298 2022/06/30 16:37:06 - mmengine - INFO - Epoch(train) [86][2400/3757] lr: 1.000e-04 eta: 4:06:44 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 8.0862 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6988 loss: 0.6988 2022/06/30 16:37:12 - mmengine - INFO - Epoch(train) [86][2420/3757] lr: 1.000e-04 eta: 4:06:38 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 7.9757 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8606 loss: 0.8606 2022/06/30 16:37:17 - mmengine - INFO - Epoch(train) [86][2440/3757] lr: 1.000e-04 eta: 4:06:32 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 11.7683 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2846 loss: 1.2846 2022/06/30 16:37:22 - mmengine - INFO - Epoch(train) [86][2460/3757] lr: 1.000e-04 eta: 4:06:27 time: 0.263 data_time: 0.016 memory: 6404 grad_norm: 10.0821 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8101 loss: 0.8101 2022/06/30 16:37:27 - mmengine - INFO - Epoch(train) [86][2480/3757] lr: 1.000e-04 eta: 4:06:21 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 10.1423 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9273 loss: 0.9273 2022/06/30 16:37:33 - mmengine - INFO - Epoch(train) [86][2500/3757] lr: 1.000e-04 eta: 4:06:16 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 9.7133 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2224 loss: 1.2224 2022/06/30 16:37:38 - mmengine - INFO - Epoch(train) [86][2520/3757] lr: 1.000e-04 eta: 4:06:10 time: 0.248 data_time: 0.024 memory: 6404 grad_norm: 7.4318 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0057 loss: 1.0057 2022/06/30 16:37:44 - mmengine - INFO - Epoch(train) [86][2540/3757] lr: 1.000e-04 eta: 4:06:05 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 9.7661 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1541 loss: 1.1541 2022/06/30 16:37:51 - mmengine - INFO - Epoch(train) [86][2560/3757] lr: 1.000e-04 eta: 4:06:00 time: 0.278 data_time: 0.007 memory: 6404 grad_norm: 8.6590 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0915 loss: 1.0915 2022/06/30 16:37:56 - mmengine - INFO - Epoch(train) [86][2580/3757] lr: 1.000e-04 eta: 4:05:54 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 10.6611 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8067 loss: 0.8067 2022/06/30 16:38:01 - mmengine - INFO - Epoch(train) [86][2600/3757] lr: 1.000e-04 eta: 4:05:49 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 9.0586 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9852 loss: 0.9852 2022/06/30 16:38:06 - mmengine - INFO - Epoch(train) [86][2620/3757] lr: 1.000e-04 eta: 4:05:43 time: 0.262 data_time: 0.010 memory: 6404 grad_norm: 9.6005 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0623 loss: 1.0623 2022/06/30 16:38:12 - mmengine - INFO - Epoch(train) [86][2640/3757] lr: 1.000e-04 eta: 4:05:38 time: 0.254 data_time: 0.018 memory: 6404 grad_norm: 8.9174 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9942 loss: 0.9942 2022/06/30 16:38:16 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 16:38:18 - mmengine - INFO - Epoch(train) [86][2660/3757] lr: 1.000e-04 eta: 4:05:32 time: 0.268 data_time: 0.010 memory: 6404 grad_norm: 9.0571 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9135 loss: 0.9135 2022/06/30 16:38:23 - mmengine - INFO - Epoch(train) [86][2680/3757] lr: 1.000e-04 eta: 4:05:27 time: 0.242 data_time: 0.017 memory: 6404 grad_norm: 8.2979 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1426 loss: 1.1426 2022/06/30 16:38:28 - mmengine - INFO - Epoch(train) [86][2700/3757] lr: 1.000e-04 eta: 4:05:21 time: 0.273 data_time: 0.007 memory: 6404 grad_norm: 8.9982 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1087 loss: 1.1087 2022/06/30 16:38:34 - mmengine - INFO - Epoch(train) [86][2720/3757] lr: 1.000e-04 eta: 4:05:16 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 6.7515 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9068 loss: 0.9068 2022/06/30 16:38:39 - mmengine - INFO - Epoch(train) [86][2740/3757] lr: 1.000e-04 eta: 4:05:10 time: 0.264 data_time: 0.018 memory: 6404 grad_norm: 8.7902 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9414 loss: 0.9414 2022/06/30 16:38:45 - mmengine - INFO - Epoch(train) [86][2760/3757] lr: 1.000e-04 eta: 4:05:05 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 8.8086 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.8860 loss: 0.8860 2022/06/30 16:38:51 - mmengine - INFO - Epoch(train) [86][2780/3757] lr: 1.000e-04 eta: 4:04:59 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 9.5719 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9667 loss: 0.9667 2022/06/30 16:38:56 - mmengine - INFO - Epoch(train) [86][2800/3757] lr: 1.000e-04 eta: 4:04:54 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 9.2403 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0112 loss: 1.0112 2022/06/30 16:39:01 - mmengine - INFO - Epoch(train) [86][2820/3757] lr: 1.000e-04 eta: 4:04:48 time: 0.261 data_time: 0.015 memory: 6404 grad_norm: 10.9097 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1023 loss: 1.1023 2022/06/30 16:39:07 - mmengine - INFO - Epoch(train) [86][2840/3757] lr: 1.000e-04 eta: 4:04:43 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.8214 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8971 loss: 0.8971 2022/06/30 16:39:13 - mmengine - INFO - Epoch(train) [86][2860/3757] lr: 1.000e-04 eta: 4:04:37 time: 0.267 data_time: 0.011 memory: 6404 grad_norm: 7.6022 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6607 loss: 0.6607 2022/06/30 16:39:18 - mmengine - INFO - Epoch(train) [86][2880/3757] lr: 1.000e-04 eta: 4:04:32 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 9.3911 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7012 loss: 0.7012 2022/06/30 16:39:23 - mmengine - INFO - Epoch(train) [86][2900/3757] lr: 1.000e-04 eta: 4:04:26 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.5862 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9188 loss: 0.9188 2022/06/30 16:39:29 - mmengine - INFO - Epoch(train) [86][2920/3757] lr: 1.000e-04 eta: 4:04:21 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.1909 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9365 loss: 0.9365 2022/06/30 16:39:35 - mmengine - INFO - Epoch(train) [86][2940/3757] lr: 1.000e-04 eta: 4:04:15 time: 0.255 data_time: 0.016 memory: 6404 grad_norm: 7.6441 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2244 loss: 1.2244 2022/06/30 16:39:40 - mmengine - INFO - Epoch(train) [86][2960/3757] lr: 1.000e-04 eta: 4:04:10 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 9.3669 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0868 loss: 1.0868 2022/06/30 16:39:45 - mmengine - INFO - Epoch(train) [86][2980/3757] lr: 1.000e-04 eta: 4:04:04 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 10.5700 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1325 loss: 1.1325 2022/06/30 16:39:51 - mmengine - INFO - Epoch(train) [86][3000/3757] lr: 1.000e-04 eta: 4:03:59 time: 0.236 data_time: 0.032 memory: 6404 grad_norm: 9.6454 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1217 loss: 1.1217 2022/06/30 16:39:56 - mmengine - INFO - Epoch(train) [86][3020/3757] lr: 1.000e-04 eta: 4:03:53 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 9.2758 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3675 loss: 1.3675 2022/06/30 16:40:01 - mmengine - INFO - Epoch(train) [86][3040/3757] lr: 1.000e-04 eta: 4:03:48 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 8.5594 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9196 loss: 0.9196 2022/06/30 16:40:10 - mmengine - INFO - Epoch(train) [86][3060/3757] lr: 1.000e-04 eta: 4:03:43 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 8.7831 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0817 loss: 1.0817 2022/06/30 16:40:15 - mmengine - INFO - Epoch(train) [86][3080/3757] lr: 1.000e-04 eta: 4:03:37 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 9.4410 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1846 loss: 1.1846 2022/06/30 16:40:20 - mmengine - INFO - Epoch(train) [86][3100/3757] lr: 1.000e-04 eta: 4:03:32 time: 0.240 data_time: 0.011 memory: 6404 grad_norm: 8.7622 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 0.9977 loss: 0.9977 2022/06/30 16:40:26 - mmengine - INFO - Epoch(train) [86][3120/3757] lr: 1.000e-04 eta: 4:03:26 time: 0.244 data_time: 0.014 memory: 6404 grad_norm: 8.3288 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9462 loss: 0.9462 2022/06/30 16:40:31 - mmengine - INFO - Epoch(train) [86][3140/3757] lr: 1.000e-04 eta: 4:03:21 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 7.5737 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6478 loss: 0.6478 2022/06/30 16:40:36 - mmengine - INFO - Epoch(train) [86][3160/3757] lr: 1.000e-04 eta: 4:03:15 time: 0.271 data_time: 0.010 memory: 6404 grad_norm: 8.9585 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8589 loss: 0.8589 2022/06/30 16:40:42 - mmengine - INFO - Epoch(train) [86][3180/3757] lr: 1.000e-04 eta: 4:03:10 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 8.8597 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1323 loss: 1.1323 2022/06/30 16:40:47 - mmengine - INFO - Epoch(train) [86][3200/3757] lr: 1.000e-04 eta: 4:03:04 time: 0.267 data_time: 0.011 memory: 6404 grad_norm: 11.1806 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1134 loss: 1.1134 2022/06/30 16:40:53 - mmengine - INFO - Epoch(train) [86][3220/3757] lr: 1.000e-04 eta: 4:02:59 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 9.1827 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9533 loss: 0.9533 2022/06/30 16:40:58 - mmengine - INFO - Epoch(train) [86][3240/3757] lr: 1.000e-04 eta: 4:02:53 time: 0.395 data_time: 0.013 memory: 6404 grad_norm: 8.6268 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8805 loss: 0.8805 2022/06/30 16:41:03 - mmengine - INFO - Epoch(train) [86][3260/3757] lr: 1.000e-04 eta: 4:02:48 time: 0.249 data_time: 0.017 memory: 6404 grad_norm: 9.6654 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9987 loss: 0.9987 2022/06/30 16:41:09 - mmengine - INFO - Epoch(train) [86][3280/3757] lr: 1.000e-04 eta: 4:02:42 time: 0.272 data_time: 0.010 memory: 6404 grad_norm: 9.0060 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3874 loss: 1.3874 2022/06/30 16:41:14 - mmengine - INFO - Epoch(train) [86][3300/3757] lr: 1.000e-04 eta: 4:02:36 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 9.4877 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0016 loss: 1.0016 2022/06/30 16:41:20 - mmengine - INFO - Epoch(train) [86][3320/3757] lr: 1.000e-04 eta: 4:02:31 time: 0.257 data_time: 0.031 memory: 6404 grad_norm: 7.0721 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1570 loss: 1.1570 2022/06/30 16:41:26 - mmengine - INFO - Epoch(train) [86][3340/3757] lr: 1.000e-04 eta: 4:02:26 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 10.4011 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0894 loss: 1.0894 2022/06/30 16:41:31 - mmengine - INFO - Epoch(train) [86][3360/3757] lr: 1.000e-04 eta: 4:02:20 time: 0.302 data_time: 0.010 memory: 6404 grad_norm: 8.6038 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9772 loss: 0.9772 2022/06/30 16:41:36 - mmengine - INFO - Epoch(train) [86][3380/3757] lr: 1.000e-04 eta: 4:02:15 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 9.2667 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1282 loss: 1.1282 2022/06/30 16:41:42 - mmengine - INFO - Epoch(train) [86][3400/3757] lr: 1.000e-04 eta: 4:02:09 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 9.7596 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2074 loss: 1.2074 2022/06/30 16:41:47 - mmengine - INFO - Epoch(train) [86][3420/3757] lr: 1.000e-04 eta: 4:02:04 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 9.4623 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9944 loss: 0.9944 2022/06/30 16:41:53 - mmengine - INFO - Epoch(train) [86][3440/3757] lr: 1.000e-04 eta: 4:01:58 time: 0.253 data_time: 0.021 memory: 6404 grad_norm: 6.6966 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8559 loss: 0.8559 2022/06/30 16:41:58 - mmengine - INFO - Epoch(train) [86][3460/3757] lr: 1.000e-04 eta: 4:01:53 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 8.6435 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9846 loss: 0.9846 2022/06/30 16:42:03 - mmengine - INFO - Epoch(train) [86][3480/3757] lr: 1.000e-04 eta: 4:01:47 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.2844 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2276 loss: 1.2276 2022/06/30 16:42:08 - mmengine - INFO - Epoch(train) [86][3500/3757] lr: 1.000e-04 eta: 4:01:42 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 9.3685 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6221 loss: 0.6221 2022/06/30 16:42:14 - mmengine - INFO - Epoch(train) [86][3520/3757] lr: 1.000e-04 eta: 4:01:36 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 9.3312 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9451 loss: 0.9451 2022/06/30 16:42:19 - mmengine - INFO - Epoch(train) [86][3540/3757] lr: 1.000e-04 eta: 4:01:31 time: 0.253 data_time: 0.015 memory: 6404 grad_norm: 8.2901 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9290 loss: 0.9290 2022/06/30 16:42:25 - mmengine - INFO - Epoch(train) [86][3560/3757] lr: 1.000e-04 eta: 4:01:25 time: 0.259 data_time: 0.018 memory: 6404 grad_norm: 8.3588 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8222 loss: 0.8222 2022/06/30 16:42:30 - mmengine - INFO - Epoch(train) [86][3580/3757] lr: 1.000e-04 eta: 4:01:20 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 9.2253 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9776 loss: 0.9776 2022/06/30 16:42:36 - mmengine - INFO - Epoch(train) [86][3600/3757] lr: 1.000e-04 eta: 4:01:14 time: 0.267 data_time: 0.016 memory: 6404 grad_norm: 8.4561 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1828 loss: 1.1828 2022/06/30 16:42:41 - mmengine - INFO - Epoch(train) [86][3620/3757] lr: 1.000e-04 eta: 4:01:09 time: 0.328 data_time: 0.007 memory: 6404 grad_norm: 10.0800 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2070 loss: 1.2070 2022/06/30 16:42:47 - mmengine - INFO - Epoch(train) [86][3640/3757] lr: 1.000e-04 eta: 4:01:03 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 7.7970 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3686 loss: 1.3686 2022/06/30 16:42:51 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 16:42:52 - mmengine - INFO - Epoch(train) [86][3660/3757] lr: 1.000e-04 eta: 4:00:58 time: 0.266 data_time: 0.011 memory: 6404 grad_norm: 9.0661 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6769 loss: 0.6769 2022/06/30 16:42:58 - mmengine - INFO - Epoch(train) [86][3680/3757] lr: 1.000e-04 eta: 4:00:52 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 10.0012 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0587 loss: 1.0587 2022/06/30 16:43:03 - mmengine - INFO - Epoch(train) [86][3700/3757] lr: 1.000e-04 eta: 4:00:47 time: 0.260 data_time: 0.012 memory: 6404 grad_norm: 9.8655 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1157 loss: 1.1157 2022/06/30 16:43:09 - mmengine - INFO - Epoch(train) [86][3720/3757] lr: 1.000e-04 eta: 4:00:41 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 7.4940 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1556 loss: 1.1556 2022/06/30 16:43:14 - mmengine - INFO - Epoch(train) [86][3740/3757] lr: 1.000e-04 eta: 4:00:36 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 11.5239 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1584 loss: 1.1584 2022/06/30 16:43:18 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 16:43:26 - mmengine - INFO - Epoch(val) [86][20/310] eta: 0:01:25 time: 0.087 data_time: 0.007 memory: 6404 2022/06/30 16:43:31 - mmengine - INFO - Epoch(val) [86][40/310] eta: 0:01:18 time: 0.486 data_time: 0.410 memory: 1479 2022/06/30 16:43:36 - mmengine - INFO - Epoch(val) [86][60/310] eta: 0:01:05 time: 0.087 data_time: 0.009 memory: 1479 2022/06/30 16:43:42 - mmengine - INFO - Epoch(val) [86][80/310] eta: 0:01:09 time: 0.840 data_time: 0.765 memory: 1479 2022/06/30 16:43:47 - mmengine - INFO - Epoch(val) [86][100/310] eta: 0:01:01 time: 1.000 data_time: 0.930 memory: 1479 2022/06/30 16:43:52 - mmengine - INFO - Epoch(val) [86][120/310] eta: 0:00:52 time: 0.082 data_time: 0.006 memory: 1479 2022/06/30 16:43:58 - mmengine - INFO - Epoch(val) [86][140/310] eta: 0:00:50 time: 0.353 data_time: 0.263 memory: 1479 2022/06/30 16:44:03 - mmengine - INFO - Epoch(val) [86][160/310] eta: 0:00:43 time: 1.314 data_time: 1.236 memory: 1479 2022/06/30 16:44:07 - mmengine - INFO - Epoch(val) [86][180/310] eta: 0:00:35 time: 0.085 data_time: 0.006 memory: 1479 2022/06/30 16:44:13 - mmengine - INFO - Epoch(val) [86][200/310] eta: 0:00:34 time: 0.087 data_time: 0.009 memory: 1479 2022/06/30 16:44:19 - mmengine - INFO - Epoch(val) [86][220/310] eta: 0:00:29 time: 0.092 data_time: 0.008 memory: 1479 2022/06/30 16:44:23 - mmengine - INFO - Epoch(val) [86][240/310] eta: 0:00:21 time: 0.091 data_time: 0.013 memory: 1479 2022/06/30 16:44:29 - mmengine - INFO - Epoch(val) [86][260/310] eta: 0:00:15 time: 0.083 data_time: 0.007 memory: 1479 2022/06/30 16:44:35 - mmengine - INFO - Epoch(val) [86][280/310] eta: 0:00:10 time: 0.092 data_time: 0.005 memory: 1479 2022/06/30 16:44:39 - mmengine - INFO - Epoch(val) [86][300/310] eta: 0:00:03 time: 0.079 data_time: 0.005 memory: 1479 2022/06/30 16:44:42 - mmengine - INFO - Epoch(val) [86][310/310] acc/top1: 0.6737 acc/top5: 0.8708 acc/mean1: 0.6736 2022/06/30 16:44:51 - mmengine - INFO - Epoch(train) [87][20/3757] lr: 1.000e-04 eta: 4:00:26 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 9.9996 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6914 loss: 0.6914 2022/06/30 16:44:56 - mmengine - INFO - Epoch(train) [87][40/3757] lr: 1.000e-04 eta: 4:00:20 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 6.6980 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9982 loss: 0.9982 2022/06/30 16:45:02 - mmengine - INFO - Epoch(train) [87][60/3757] lr: 1.000e-04 eta: 4:00:15 time: 0.245 data_time: 0.013 memory: 6404 grad_norm: 7.7771 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8596 loss: 0.8596 2022/06/30 16:45:08 - mmengine - INFO - Epoch(train) [87][80/3757] lr: 1.000e-04 eta: 4:00:09 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 9.7708 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0873 loss: 1.0873 2022/06/30 16:45:14 - mmengine - INFO - Epoch(train) [87][100/3757] lr: 1.000e-04 eta: 4:00:04 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 8.0586 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0758 loss: 1.0758 2022/06/30 16:45:19 - mmengine - INFO - Epoch(train) [87][120/3757] lr: 1.000e-04 eta: 3:59:58 time: 0.263 data_time: 0.012 memory: 6404 grad_norm: 11.4304 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2811 loss: 1.2811 2022/06/30 16:45:25 - mmengine - INFO - Epoch(train) [87][140/3757] lr: 1.000e-04 eta: 3:59:53 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 9.3945 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0067 loss: 1.0067 2022/06/30 16:45:30 - mmengine - INFO - Epoch(train) [87][160/3757] lr: 1.000e-04 eta: 3:59:47 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.4854 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0798 loss: 1.0798 2022/06/30 16:45:35 - mmengine - INFO - Epoch(train) [87][180/3757] lr: 1.000e-04 eta: 3:59:42 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.6756 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8153 loss: 0.8153 2022/06/30 16:45:41 - mmengine - INFO - Epoch(train) [87][200/3757] lr: 1.000e-04 eta: 3:59:36 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 6.9130 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8314 loss: 0.8314 2022/06/30 16:45:46 - mmengine - INFO - Epoch(train) [87][220/3757] lr: 1.000e-04 eta: 3:59:31 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 9.5860 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1600 loss: 1.1600 2022/06/30 16:45:52 - mmengine - INFO - Epoch(train) [87][240/3757] lr: 1.000e-04 eta: 3:59:25 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 7.9698 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8604 loss: 0.8604 2022/06/30 16:45:57 - mmengine - INFO - Epoch(train) [87][260/3757] lr: 1.000e-04 eta: 3:59:20 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 10.3387 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9082 loss: 0.9082 2022/06/30 16:46:03 - mmengine - INFO - Epoch(train) [87][280/3757] lr: 1.000e-04 eta: 3:59:14 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 8.6357 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1646 loss: 1.1646 2022/06/30 16:46:08 - mmengine - INFO - Epoch(train) [87][300/3757] lr: 1.000e-04 eta: 3:59:09 time: 0.289 data_time: 0.013 memory: 6404 grad_norm: 11.9164 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0490 loss: 1.0490 2022/06/30 16:46:14 - mmengine - INFO - Epoch(train) [87][320/3757] lr: 1.000e-04 eta: 3:59:03 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 9.9729 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0666 loss: 1.0666 2022/06/30 16:46:20 - mmengine - INFO - Epoch(train) [87][340/3757] lr: 1.000e-04 eta: 3:58:58 time: 0.264 data_time: 0.006 memory: 6404 grad_norm: 6.8504 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6911 loss: 0.6911 2022/06/30 16:46:25 - mmengine - INFO - Epoch(train) [87][360/3757] lr: 1.000e-04 eta: 3:58:53 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 8.7124 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3647 loss: 1.3647 2022/06/30 16:46:31 - mmengine - INFO - Epoch(train) [87][380/3757] lr: 1.000e-04 eta: 3:58:47 time: 0.268 data_time: 0.011 memory: 6404 grad_norm: 8.4161 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2503 loss: 1.2503 2022/06/30 16:46:36 - mmengine - INFO - Epoch(train) [87][400/3757] lr: 1.000e-04 eta: 3:58:41 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 8.6333 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8828 loss: 0.8828 2022/06/30 16:46:42 - mmengine - INFO - Epoch(train) [87][420/3757] lr: 1.000e-04 eta: 3:58:36 time: 0.401 data_time: 0.018 memory: 6404 grad_norm: 6.6514 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6525 loss: 0.6525 2022/06/30 16:46:47 - mmengine - INFO - Epoch(train) [87][440/3757] lr: 1.000e-04 eta: 3:58:31 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 9.7084 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1858 loss: 1.1858 2022/06/30 16:46:52 - mmengine - INFO - Epoch(train) [87][460/3757] lr: 1.000e-04 eta: 3:58:25 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 10.5148 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6762 loss: 0.6762 2022/06/30 16:46:58 - mmengine - INFO - Epoch(train) [87][480/3757] lr: 1.000e-04 eta: 3:58:19 time: 0.269 data_time: 0.012 memory: 6404 grad_norm: 8.8402 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9853 loss: 0.9853 2022/06/30 16:47:03 - mmengine - INFO - Epoch(train) [87][500/3757] lr: 1.000e-04 eta: 3:58:14 time: 0.264 data_time: 0.016 memory: 6404 grad_norm: 8.8778 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0077 loss: 1.0077 2022/06/30 16:47:08 - mmengine - INFO - Epoch(train) [87][520/3757] lr: 1.000e-04 eta: 3:58:08 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 9.6368 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9520 loss: 0.9520 2022/06/30 16:47:14 - mmengine - INFO - Epoch(train) [87][540/3757] lr: 1.000e-04 eta: 3:58:03 time: 0.260 data_time: 0.014 memory: 6404 grad_norm: 7.4916 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9566 loss: 0.9566 2022/06/30 16:47:19 - mmengine - INFO - Epoch(train) [87][560/3757] lr: 1.000e-04 eta: 3:57:57 time: 0.309 data_time: 0.086 memory: 6404 grad_norm: 8.7824 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3012 loss: 1.3012 2022/06/30 16:47:24 - mmengine - INFO - Epoch(train) [87][580/3757] lr: 1.000e-04 eta: 3:57:52 time: 0.253 data_time: 0.026 memory: 6404 grad_norm: 8.1263 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8651 loss: 0.8651 2022/06/30 16:47:30 - mmengine - INFO - Epoch(train) [87][600/3757] lr: 1.000e-04 eta: 3:57:46 time: 0.273 data_time: 0.016 memory: 6404 grad_norm: 8.8586 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9472 loss: 0.9472 2022/06/30 16:47:35 - mmengine - INFO - Epoch(train) [87][620/3757] lr: 1.000e-04 eta: 3:57:41 time: 0.250 data_time: 0.017 memory: 6404 grad_norm: 9.5366 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4991 loss: 1.4991 2022/06/30 16:47:41 - mmengine - INFO - Epoch(train) [87][640/3757] lr: 1.000e-04 eta: 3:57:36 time: 0.267 data_time: 0.017 memory: 6404 grad_norm: 7.3952 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0387 loss: 1.0387 2022/06/30 16:47:47 - mmengine - INFO - Epoch(train) [87][660/3757] lr: 1.000e-04 eta: 3:57:30 time: 0.262 data_time: 0.012 memory: 6404 grad_norm: 7.7253 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3309 loss: 1.3309 2022/06/30 16:47:52 - mmengine - INFO - Epoch(train) [87][680/3757] lr: 1.000e-04 eta: 3:57:24 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 8.0761 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1294 loss: 1.1294 2022/06/30 16:47:58 - mmengine - INFO - Epoch(train) [87][700/3757] lr: 1.000e-04 eta: 3:57:19 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 10.0908 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3021 loss: 1.3021 2022/06/30 16:48:03 - mmengine - INFO - Epoch(train) [87][720/3757] lr: 1.000e-04 eta: 3:57:14 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 7.8096 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1339 loss: 1.1339 2022/06/30 16:48:09 - mmengine - INFO - Epoch(train) [87][740/3757] lr: 1.000e-04 eta: 3:57:08 time: 0.330 data_time: 0.096 memory: 6404 grad_norm: 8.1878 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6172 loss: 0.6172 2022/06/30 16:48:14 - mmengine - INFO - Epoch(train) [87][760/3757] lr: 1.000e-04 eta: 3:57:03 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 9.5388 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2494 loss: 1.2494 2022/06/30 16:48:20 - mmengine - INFO - Epoch(train) [87][780/3757] lr: 1.000e-04 eta: 3:56:57 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 8.4344 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0886 loss: 1.0886 2022/06/30 16:48:25 - mmengine - INFO - Epoch(train) [87][800/3757] lr: 1.000e-04 eta: 3:56:52 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 9.4378 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1087 loss: 1.1087 2022/06/30 16:48:30 - mmengine - INFO - Epoch(train) [87][820/3757] lr: 1.000e-04 eta: 3:56:46 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 9.7975 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8308 loss: 0.8308 2022/06/30 16:48:35 - mmengine - INFO - Epoch(train) [87][840/3757] lr: 1.000e-04 eta: 3:56:40 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 8.1096 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9276 loss: 0.9276 2022/06/30 16:48:41 - mmengine - INFO - Epoch(train) [87][860/3757] lr: 1.000e-04 eta: 3:56:35 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 8.7831 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0311 loss: 1.0311 2022/06/30 16:48:46 - mmengine - INFO - Epoch(train) [87][880/3757] lr: 1.000e-04 eta: 3:56:29 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 10.0734 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8846 loss: 0.8846 2022/06/30 16:48:51 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 16:48:52 - mmengine - INFO - Epoch(train) [87][900/3757] lr: 1.000e-04 eta: 3:56:24 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 8.8606 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0772 loss: 1.0772 2022/06/30 16:48:57 - mmengine - INFO - Epoch(train) [87][920/3757] lr: 1.000e-04 eta: 3:56:18 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 11.1338 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7208 loss: 0.7208 2022/06/30 16:49:03 - mmengine - INFO - Epoch(train) [87][940/3757] lr: 1.000e-04 eta: 3:56:13 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 8.5912 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1898 loss: 1.1898 2022/06/30 16:49:08 - mmengine - INFO - Epoch(train) [87][960/3757] lr: 1.000e-04 eta: 3:56:08 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 9.1841 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0885 loss: 1.0885 2022/06/30 16:49:14 - mmengine - INFO - Epoch(train) [87][980/3757] lr: 1.000e-04 eta: 3:56:02 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 11.0103 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0039 loss: 1.0039 2022/06/30 16:49:20 - mmengine - INFO - Epoch(train) [87][1000/3757] lr: 1.000e-04 eta: 3:55:57 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 10.5706 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8461 loss: 0.8461 2022/06/30 16:49:25 - mmengine - INFO - Epoch(train) [87][1020/3757] lr: 1.000e-04 eta: 3:55:51 time: 0.262 data_time: 0.022 memory: 6404 grad_norm: 8.3500 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2120 loss: 1.2120 2022/06/30 16:49:31 - mmengine - INFO - Epoch(train) [87][1040/3757] lr: 1.000e-04 eta: 3:55:46 time: 0.283 data_time: 0.007 memory: 6404 grad_norm: 7.5969 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6548 loss: 0.6548 2022/06/30 16:49:36 - mmengine - INFO - Epoch(train) [87][1060/3757] lr: 1.000e-04 eta: 3:55:40 time: 0.257 data_time: 0.052 memory: 6404 grad_norm: 9.0743 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.2299 loss: 1.2299 2022/06/30 16:49:41 - mmengine - INFO - Epoch(train) [87][1080/3757] lr: 1.000e-04 eta: 3:55:35 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 8.8841 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8605 loss: 0.8605 2022/06/30 16:49:47 - mmengine - INFO - Epoch(train) [87][1100/3757] lr: 1.000e-04 eta: 3:55:29 time: 0.263 data_time: 0.009 memory: 6404 grad_norm: 7.3598 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9190 loss: 0.9190 2022/06/30 16:49:52 - mmengine - INFO - Epoch(train) [87][1120/3757] lr: 1.000e-04 eta: 3:55:24 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 7.5004 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2458 loss: 1.2458 2022/06/30 16:49:57 - mmengine - INFO - Epoch(train) [87][1140/3757] lr: 1.000e-04 eta: 3:55:18 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 7.3017 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4058 loss: 1.4058 2022/06/30 16:50:03 - mmengine - INFO - Epoch(train) [87][1160/3757] lr: 1.000e-04 eta: 3:55:13 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 8.8739 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8834 loss: 0.8834 2022/06/30 16:50:08 - mmengine - INFO - Epoch(train) [87][1180/3757] lr: 1.000e-04 eta: 3:55:07 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 9.7501 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1807 loss: 1.1807 2022/06/30 16:50:14 - mmengine - INFO - Epoch(train) [87][1200/3757] lr: 1.000e-04 eta: 3:55:02 time: 0.277 data_time: 0.015 memory: 6404 grad_norm: 9.2494 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0652 loss: 1.0652 2022/06/30 16:50:19 - mmengine - INFO - Epoch(train) [87][1220/3757] lr: 1.000e-04 eta: 3:54:56 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 8.9718 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8270 loss: 0.8270 2022/06/30 16:50:24 - mmengine - INFO - Epoch(train) [87][1240/3757] lr: 1.000e-04 eta: 3:54:51 time: 0.263 data_time: 0.020 memory: 6404 grad_norm: 6.5675 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0530 loss: 1.0530 2022/06/30 16:50:30 - mmengine - INFO - Epoch(train) [87][1260/3757] lr: 1.000e-04 eta: 3:54:45 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 8.2030 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7201 loss: 0.7201 2022/06/30 16:50:35 - mmengine - INFO - Epoch(train) [87][1280/3757] lr: 1.000e-04 eta: 3:54:40 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 10.8595 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0663 loss: 1.0663 2022/06/30 16:50:41 - mmengine - INFO - Epoch(train) [87][1300/3757] lr: 1.000e-04 eta: 3:54:34 time: 0.252 data_time: 0.039 memory: 6404 grad_norm: 10.1805 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8110 loss: 0.8110 2022/06/30 16:50:46 - mmengine - INFO - Epoch(train) [87][1320/3757] lr: 1.000e-04 eta: 3:54:29 time: 0.251 data_time: 0.014 memory: 6404 grad_norm: 7.9032 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9388 loss: 0.9388 2022/06/30 16:50:52 - mmengine - INFO - Epoch(train) [87][1340/3757] lr: 1.000e-04 eta: 3:54:23 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 7.7533 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7345 loss: 0.7345 2022/06/30 16:50:57 - mmengine - INFO - Epoch(train) [87][1360/3757] lr: 1.000e-04 eta: 3:54:18 time: 0.288 data_time: 0.026 memory: 6404 grad_norm: 8.5752 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2522 loss: 1.2522 2022/06/30 16:51:03 - mmengine - INFO - Epoch(train) [87][1380/3757] lr: 1.000e-04 eta: 3:54:12 time: 0.265 data_time: 0.017 memory: 6404 grad_norm: 8.8425 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8394 loss: 0.8394 2022/06/30 16:51:08 - mmengine - INFO - Epoch(train) [87][1400/3757] lr: 1.000e-04 eta: 3:54:07 time: 0.255 data_time: 0.014 memory: 6404 grad_norm: 8.0491 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2151 loss: 1.2151 2022/06/30 16:51:14 - mmengine - INFO - Epoch(train) [87][1420/3757] lr: 1.000e-04 eta: 3:54:01 time: 0.252 data_time: 0.022 memory: 6404 grad_norm: 9.3521 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9959 loss: 0.9959 2022/06/30 16:51:19 - mmengine - INFO - Epoch(train) [87][1440/3757] lr: 1.000e-04 eta: 3:53:56 time: 0.252 data_time: 0.026 memory: 6404 grad_norm: 9.8193 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8237 loss: 0.8237 2022/06/30 16:51:25 - mmengine - INFO - Epoch(train) [87][1460/3757] lr: 1.000e-04 eta: 3:53:50 time: 0.253 data_time: 0.025 memory: 6404 grad_norm: 9.4622 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0837 loss: 1.0837 2022/06/30 16:51:30 - mmengine - INFO - Epoch(train) [87][1480/3757] lr: 1.000e-04 eta: 3:53:45 time: 0.252 data_time: 0.027 memory: 6404 grad_norm: 9.5653 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2295 loss: 1.2295 2022/06/30 16:51:36 - mmengine - INFO - Epoch(train) [87][1500/3757] lr: 1.000e-04 eta: 3:53:39 time: 0.257 data_time: 0.018 memory: 6404 grad_norm: 9.0408 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9621 loss: 0.9621 2022/06/30 16:51:41 - mmengine - INFO - Epoch(train) [87][1520/3757] lr: 1.000e-04 eta: 3:53:34 time: 0.259 data_time: 0.014 memory: 6404 grad_norm: 10.1664 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7104 loss: 0.7104 2022/06/30 16:51:46 - mmengine - INFO - Epoch(train) [87][1540/3757] lr: 1.000e-04 eta: 3:53:28 time: 0.259 data_time: 0.022 memory: 6404 grad_norm: 9.1586 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8146 loss: 0.8146 2022/06/30 16:51:52 - mmengine - INFO - Epoch(train) [87][1560/3757] lr: 1.000e-04 eta: 3:53:23 time: 0.255 data_time: 0.015 memory: 6404 grad_norm: 10.5565 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1298 loss: 1.1298 2022/06/30 16:51:57 - mmengine - INFO - Epoch(train) [87][1580/3757] lr: 1.000e-04 eta: 3:53:17 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 7.9890 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9666 loss: 0.9666 2022/06/30 16:52:03 - mmengine - INFO - Epoch(train) [87][1600/3757] lr: 1.000e-04 eta: 3:53:12 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 8.2343 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9260 loss: 0.9260 2022/06/30 16:52:08 - mmengine - INFO - Epoch(train) [87][1620/3757] lr: 1.000e-04 eta: 3:53:06 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 7.7688 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8046 loss: 0.8046 2022/06/30 16:52:14 - mmengine - INFO - Epoch(train) [87][1640/3757] lr: 1.000e-04 eta: 3:53:01 time: 0.259 data_time: 0.016 memory: 6404 grad_norm: 7.6249 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8408 loss: 0.8408 2022/06/30 16:52:19 - mmengine - INFO - Epoch(train) [87][1660/3757] lr: 1.000e-04 eta: 3:52:55 time: 0.293 data_time: 0.010 memory: 6404 grad_norm: 9.5535 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8217 loss: 0.8217 2022/06/30 16:52:24 - mmengine - INFO - Epoch(train) [87][1680/3757] lr: 1.000e-04 eta: 3:52:50 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 8.9135 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8445 loss: 0.8445 2022/06/30 16:52:30 - mmengine - INFO - Epoch(train) [87][1700/3757] lr: 1.000e-04 eta: 3:52:44 time: 0.253 data_time: 0.031 memory: 6404 grad_norm: 8.7934 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9137 loss: 0.9137 2022/06/30 16:52:35 - mmengine - INFO - Epoch(train) [87][1720/3757] lr: 1.000e-04 eta: 3:52:39 time: 0.244 data_time: 0.014 memory: 6404 grad_norm: 9.6914 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7819 loss: 0.7819 2022/06/30 16:52:40 - mmengine - INFO - Epoch(train) [87][1740/3757] lr: 1.000e-04 eta: 3:52:33 time: 0.268 data_time: 0.008 memory: 6404 grad_norm: 8.6242 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8410 loss: 0.8410 2022/06/30 16:52:46 - mmengine - INFO - Epoch(train) [87][1760/3757] lr: 1.000e-04 eta: 3:52:28 time: 0.245 data_time: 0.037 memory: 6404 grad_norm: 9.2932 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8227 loss: 0.8227 2022/06/30 16:52:52 - mmengine - INFO - Epoch(train) [87][1780/3757] lr: 1.000e-04 eta: 3:52:22 time: 0.255 data_time: 0.019 memory: 6404 grad_norm: 9.7453 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7570 loss: 0.7570 2022/06/30 16:52:57 - mmengine - INFO - Epoch(train) [87][1800/3757] lr: 1.000e-04 eta: 3:52:17 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 7.8985 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8976 loss: 0.8976 2022/06/30 16:53:03 - mmengine - INFO - Epoch(train) [87][1820/3757] lr: 1.000e-04 eta: 3:52:11 time: 0.262 data_time: 0.018 memory: 6404 grad_norm: 11.2390 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0000 loss: 1.0000 2022/06/30 16:53:08 - mmengine - INFO - Epoch(train) [87][1840/3757] lr: 1.000e-04 eta: 3:52:06 time: 0.481 data_time: 0.010 memory: 6404 grad_norm: 9.3233 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3465 loss: 1.3465 2022/06/30 16:53:14 - mmengine - INFO - Epoch(train) [87][1860/3757] lr: 1.000e-04 eta: 3:52:00 time: 0.256 data_time: 0.013 memory: 6404 grad_norm: 8.0366 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8834 loss: 0.8834 2022/06/30 16:53:19 - mmengine - INFO - Epoch(train) [87][1880/3757] lr: 1.000e-04 eta: 3:51:55 time: 0.263 data_time: 0.029 memory: 6404 grad_norm: 9.8054 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1232 loss: 1.1232 2022/06/30 16:53:24 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 16:53:25 - mmengine - INFO - Epoch(train) [87][1900/3757] lr: 1.000e-04 eta: 3:51:49 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 7.4416 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9479 loss: 0.9479 2022/06/30 16:53:30 - mmengine - INFO - Epoch(train) [87][1920/3757] lr: 1.000e-04 eta: 3:51:44 time: 0.252 data_time: 0.020 memory: 6404 grad_norm: 7.3564 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0406 loss: 1.0406 2022/06/30 16:53:35 - mmengine - INFO - Epoch(train) [87][1940/3757] lr: 1.000e-04 eta: 3:51:38 time: 0.250 data_time: 0.020 memory: 6404 grad_norm: 8.9218 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8756 loss: 0.8756 2022/06/30 16:53:41 - mmengine - INFO - Epoch(train) [87][1960/3757] lr: 1.000e-04 eta: 3:51:33 time: 0.305 data_time: 0.013 memory: 6404 grad_norm: 9.4655 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7921 loss: 0.7921 2022/06/30 16:53:46 - mmengine - INFO - Epoch(train) [87][1980/3757] lr: 1.000e-04 eta: 3:51:27 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 8.4994 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8284 loss: 0.8284 2022/06/30 16:53:52 - mmengine - INFO - Epoch(train) [87][2000/3757] lr: 1.000e-04 eta: 3:51:22 time: 0.253 data_time: 0.026 memory: 6404 grad_norm: 9.8560 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9205 loss: 0.9205 2022/06/30 16:53:57 - mmengine - INFO - Epoch(train) [87][2020/3757] lr: 1.000e-04 eta: 3:51:16 time: 0.259 data_time: 0.013 memory: 6404 grad_norm: 9.3306 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7450 loss: 0.7450 2022/06/30 16:54:03 - mmengine - INFO - Epoch(train) [87][2040/3757] lr: 1.000e-04 eta: 3:51:11 time: 0.261 data_time: 0.014 memory: 6404 grad_norm: 12.0516 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0785 loss: 1.0785 2022/06/30 16:54:08 - mmengine - INFO - Epoch(train) [87][2060/3757] lr: 1.000e-04 eta: 3:51:05 time: 0.255 data_time: 0.018 memory: 6404 grad_norm: 8.7147 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0599 loss: 1.0599 2022/06/30 16:54:14 - mmengine - INFO - Epoch(train) [87][2080/3757] lr: 1.000e-04 eta: 3:51:00 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 10.3607 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6477 loss: 0.6477 2022/06/30 16:54:19 - mmengine - INFO - Epoch(train) [87][2100/3757] lr: 1.000e-04 eta: 3:50:54 time: 0.281 data_time: 0.016 memory: 6404 grad_norm: 11.0736 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9627 loss: 0.9627 2022/06/30 16:54:24 - mmengine - INFO - Epoch(train) [87][2120/3757] lr: 1.000e-04 eta: 3:50:49 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 10.3557 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1305 loss: 1.1305 2022/06/30 16:54:30 - mmengine - INFO - Epoch(train) [87][2140/3757] lr: 1.000e-04 eta: 3:50:43 time: 0.304 data_time: 0.063 memory: 6404 grad_norm: 10.0570 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.3792 loss: 1.3792 2022/06/30 16:54:35 - mmengine - INFO - Epoch(train) [87][2160/3757] lr: 1.000e-04 eta: 3:50:38 time: 0.254 data_time: 0.018 memory: 6404 grad_norm: 9.8800 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1956 loss: 1.1956 2022/06/30 16:54:40 - mmengine - INFO - Epoch(train) [87][2180/3757] lr: 1.000e-04 eta: 3:50:32 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 10.4456 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8377 loss: 0.8377 2022/06/30 16:54:46 - mmengine - INFO - Epoch(train) [87][2200/3757] lr: 1.000e-04 eta: 3:50:27 time: 0.572 data_time: 0.007 memory: 6404 grad_norm: 8.2736 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8984 loss: 0.8984 2022/06/30 16:54:52 - mmengine - INFO - Epoch(train) [87][2220/3757] lr: 1.000e-04 eta: 3:50:21 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 7.7065 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8315 loss: 0.8315 2022/06/30 16:54:57 - mmengine - INFO - Epoch(train) [87][2240/3757] lr: 1.000e-04 eta: 3:50:16 time: 0.260 data_time: 0.009 memory: 6404 grad_norm: 7.4338 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8441 loss: 0.8441 2022/06/30 16:55:03 - mmengine - INFO - Epoch(train) [87][2260/3757] lr: 1.000e-04 eta: 3:50:10 time: 0.382 data_time: 0.007 memory: 6404 grad_norm: 9.2328 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7405 loss: 0.7405 2022/06/30 16:55:08 - mmengine - INFO - Epoch(train) [87][2280/3757] lr: 1.000e-04 eta: 3:50:05 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 9.4710 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0887 loss: 1.0887 2022/06/30 16:55:14 - mmengine - INFO - Epoch(train) [87][2300/3757] lr: 1.000e-04 eta: 3:49:59 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 10.5158 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9303 loss: 0.9303 2022/06/30 16:55:20 - mmengine - INFO - Epoch(train) [87][2320/3757] lr: 1.000e-04 eta: 3:49:54 time: 0.728 data_time: 0.006 memory: 6404 grad_norm: 10.0564 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1534 loss: 1.1534 2022/06/30 16:55:25 - mmengine - INFO - Epoch(train) [87][2340/3757] lr: 1.000e-04 eta: 3:49:48 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 10.9317 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4107 loss: 1.4107 2022/06/30 16:55:31 - mmengine - INFO - Epoch(train) [87][2360/3757] lr: 1.000e-04 eta: 3:49:43 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 10.2058 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0443 loss: 1.0443 2022/06/30 16:55:36 - mmengine - INFO - Epoch(train) [87][2380/3757] lr: 1.000e-04 eta: 3:49:37 time: 0.287 data_time: 0.011 memory: 6404 grad_norm: 9.4793 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7659 loss: 0.7659 2022/06/30 16:55:41 - mmengine - INFO - Epoch(train) [87][2400/3757] lr: 1.000e-04 eta: 3:49:32 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 8.4686 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8912 loss: 0.8912 2022/06/30 16:55:47 - mmengine - INFO - Epoch(train) [87][2420/3757] lr: 1.000e-04 eta: 3:49:26 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 8.7828 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9429 loss: 0.9429 2022/06/30 16:55:52 - mmengine - INFO - Epoch(train) [87][2440/3757] lr: 1.000e-04 eta: 3:49:21 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 8.6946 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7672 loss: 0.7672 2022/06/30 16:55:57 - mmengine - INFO - Epoch(train) [87][2460/3757] lr: 1.000e-04 eta: 3:49:15 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 7.8676 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0954 loss: 1.0954 2022/06/30 16:56:02 - mmengine - INFO - Epoch(train) [87][2480/3757] lr: 1.000e-04 eta: 3:49:10 time: 0.270 data_time: 0.017 memory: 6404 grad_norm: 8.9292 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7457 loss: 0.7457 2022/06/30 16:56:08 - mmengine - INFO - Epoch(train) [87][2500/3757] lr: 1.000e-04 eta: 3:49:04 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 8.4309 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4887 loss: 1.4887 2022/06/30 16:56:13 - mmengine - INFO - Epoch(train) [87][2520/3757] lr: 1.000e-04 eta: 3:48:59 time: 0.273 data_time: 0.008 memory: 6404 grad_norm: 8.6718 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1524 loss: 1.1524 2022/06/30 16:56:18 - mmengine - INFO - Epoch(train) [87][2540/3757] lr: 1.000e-04 eta: 3:48:53 time: 0.267 data_time: 0.012 memory: 6404 grad_norm: 9.0175 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8301 loss: 0.8301 2022/06/30 16:56:24 - mmengine - INFO - Epoch(train) [87][2560/3757] lr: 1.000e-04 eta: 3:48:48 time: 0.264 data_time: 0.013 memory: 6404 grad_norm: 8.7474 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0043 loss: 1.0043 2022/06/30 16:56:29 - mmengine - INFO - Epoch(train) [87][2580/3757] lr: 1.000e-04 eta: 3:48:42 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 9.0166 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0152 loss: 1.0152 2022/06/30 16:56:35 - mmengine - INFO - Epoch(train) [87][2600/3757] lr: 1.000e-04 eta: 3:48:37 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 8.4363 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1015 loss: 1.1015 2022/06/30 16:56:40 - mmengine - INFO - Epoch(train) [87][2620/3757] lr: 1.000e-04 eta: 3:48:31 time: 0.258 data_time: 0.020 memory: 6404 grad_norm: 9.0313 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8588 loss: 0.8588 2022/06/30 16:56:45 - mmengine - INFO - Epoch(train) [87][2640/3757] lr: 1.000e-04 eta: 3:48:26 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 8.0568 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5303 loss: 1.5303 2022/06/30 16:56:51 - mmengine - INFO - Epoch(train) [87][2660/3757] lr: 1.000e-04 eta: 3:48:20 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 8.6515 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2843 loss: 1.2843 2022/06/30 16:56:56 - mmengine - INFO - Epoch(train) [87][2680/3757] lr: 1.000e-04 eta: 3:48:15 time: 0.249 data_time: 0.016 memory: 6404 grad_norm: 8.4877 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0062 loss: 1.0062 2022/06/30 16:57:02 - mmengine - INFO - Epoch(train) [87][2700/3757] lr: 1.000e-04 eta: 3:48:09 time: 0.266 data_time: 0.008 memory: 6404 grad_norm: 8.6118 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6669 loss: 0.6669 2022/06/30 16:57:08 - mmengine - INFO - Epoch(train) [87][2720/3757] lr: 1.000e-04 eta: 3:48:04 time: 0.262 data_time: 0.016 memory: 6404 grad_norm: 8.9332 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8520 loss: 0.8520 2022/06/30 16:57:13 - mmengine - INFO - Epoch(train) [87][2740/3757] lr: 1.000e-04 eta: 3:47:58 time: 0.266 data_time: 0.021 memory: 6404 grad_norm: 9.9371 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1573 loss: 1.1573 2022/06/30 16:57:19 - mmengine - INFO - Epoch(train) [87][2760/3757] lr: 1.000e-04 eta: 3:47:53 time: 0.262 data_time: 0.009 memory: 6404 grad_norm: 10.2037 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3011 loss: 1.3011 2022/06/30 16:57:24 - mmengine - INFO - Epoch(train) [87][2780/3757] lr: 1.000e-04 eta: 3:47:47 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 10.3228 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9495 loss: 0.9495 2022/06/30 16:57:29 - mmengine - INFO - Epoch(train) [87][2800/3757] lr: 1.000e-04 eta: 3:47:42 time: 0.279 data_time: 0.011 memory: 6404 grad_norm: 9.1231 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1511 loss: 1.1511 2022/06/30 16:57:35 - mmengine - INFO - Epoch(train) [87][2820/3757] lr: 1.000e-04 eta: 3:47:36 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 9.3976 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1750 loss: 1.1750 2022/06/30 16:57:41 - mmengine - INFO - Epoch(train) [87][2840/3757] lr: 1.000e-04 eta: 3:47:31 time: 0.276 data_time: 0.009 memory: 6404 grad_norm: 9.8526 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1669 loss: 1.1669 2022/06/30 16:57:46 - mmengine - INFO - Epoch(train) [87][2860/3757] lr: 1.000e-04 eta: 3:47:25 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 10.6704 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9893 loss: 0.9893 2022/06/30 16:57:52 - mmengine - INFO - Epoch(train) [87][2880/3757] lr: 1.000e-04 eta: 3:47:20 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 9.0155 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9090 loss: 0.9090 2022/06/30 16:57:56 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 16:57:57 - mmengine - INFO - Epoch(train) [87][2900/3757] lr: 1.000e-04 eta: 3:47:14 time: 0.263 data_time: 0.008 memory: 6404 grad_norm: 7.5735 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7694 loss: 0.7694 2022/06/30 16:58:02 - mmengine - INFO - Epoch(train) [87][2920/3757] lr: 1.000e-04 eta: 3:47:09 time: 0.249 data_time: 0.017 memory: 6404 grad_norm: 7.9499 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0641 loss: 1.0641 2022/06/30 16:58:07 - mmengine - INFO - Epoch(train) [87][2940/3757] lr: 1.000e-04 eta: 3:47:03 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 10.1489 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2694 loss: 1.2694 2022/06/30 16:58:13 - mmengine - INFO - Epoch(train) [87][2960/3757] lr: 1.000e-04 eta: 3:46:58 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 10.1339 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9475 loss: 0.9475 2022/06/30 16:58:18 - mmengine - INFO - Epoch(train) [87][2980/3757] lr: 1.000e-04 eta: 3:46:52 time: 0.244 data_time: 0.019 memory: 6404 grad_norm: 8.2222 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5206 loss: 1.5206 2022/06/30 16:58:23 - mmengine - INFO - Epoch(train) [87][3000/3757] lr: 1.000e-04 eta: 3:46:47 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 9.5662 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2063 loss: 1.2063 2022/06/30 16:58:29 - mmengine - INFO - Epoch(train) [87][3020/3757] lr: 1.000e-04 eta: 3:46:41 time: 0.249 data_time: 0.015 memory: 6404 grad_norm: 6.7914 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1217 loss: 1.1217 2022/06/30 16:58:34 - mmengine - INFO - Epoch(train) [87][3040/3757] lr: 1.000e-04 eta: 3:46:36 time: 0.253 data_time: 0.021 memory: 6404 grad_norm: 9.2850 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9664 loss: 0.9664 2022/06/30 16:58:40 - mmengine - INFO - Epoch(train) [87][3060/3757] lr: 1.000e-04 eta: 3:46:30 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 9.2056 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9154 loss: 0.9154 2022/06/30 16:58:45 - mmengine - INFO - Epoch(train) [87][3080/3757] lr: 1.000e-04 eta: 3:46:25 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 9.1005 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1800 loss: 1.1800 2022/06/30 16:58:51 - mmengine - INFO - Epoch(train) [87][3100/3757] lr: 1.000e-04 eta: 3:46:19 time: 0.258 data_time: 0.020 memory: 6404 grad_norm: 11.7615 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5922 loss: 0.5922 2022/06/30 16:58:56 - mmengine - INFO - Epoch(train) [87][3120/3757] lr: 1.000e-04 eta: 3:46:14 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 9.1969 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3097 loss: 1.3097 2022/06/30 16:59:02 - mmengine - INFO - Epoch(train) [87][3140/3757] lr: 1.000e-04 eta: 3:46:08 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 8.7476 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9303 loss: 0.9303 2022/06/30 16:59:07 - mmengine - INFO - Epoch(train) [87][3160/3757] lr: 1.000e-04 eta: 3:46:03 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 7.3592 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4981 loss: 1.4981 2022/06/30 16:59:13 - mmengine - INFO - Epoch(train) [87][3180/3757] lr: 1.000e-04 eta: 3:45:57 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.5554 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9402 loss: 0.9402 2022/06/30 16:59:19 - mmengine - INFO - Epoch(train) [87][3200/3757] lr: 1.000e-04 eta: 3:45:52 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 11.5638 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3088 loss: 1.3088 2022/06/30 16:59:24 - mmengine - INFO - Epoch(train) [87][3220/3757] lr: 1.000e-04 eta: 3:45:46 time: 0.289 data_time: 0.008 memory: 6404 grad_norm: 8.0720 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9894 loss: 0.9894 2022/06/30 16:59:29 - mmengine - INFO - Epoch(train) [87][3240/3757] lr: 1.000e-04 eta: 3:45:41 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 9.3147 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3572 loss: 1.3572 2022/06/30 16:59:35 - mmengine - INFO - Epoch(train) [87][3260/3757] lr: 1.000e-04 eta: 3:45:35 time: 0.290 data_time: 0.012 memory: 6404 grad_norm: 8.1991 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8490 loss: 0.8490 2022/06/30 16:59:41 - mmengine - INFO - Epoch(train) [87][3280/3757] lr: 1.000e-04 eta: 3:45:30 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 9.6241 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7880 loss: 0.7880 2022/06/30 16:59:46 - mmengine - INFO - Epoch(train) [87][3300/3757] lr: 1.000e-04 eta: 3:45:24 time: 0.250 data_time: 0.014 memory: 6404 grad_norm: 9.9093 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6019 loss: 0.6019 2022/06/30 16:59:52 - mmengine - INFO - Epoch(train) [87][3320/3757] lr: 1.000e-04 eta: 3:45:19 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 8.2950 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2057 loss: 1.2057 2022/06/30 16:59:57 - mmengine - INFO - Epoch(train) [87][3340/3757] lr: 1.000e-04 eta: 3:45:13 time: 0.275 data_time: 0.016 memory: 6404 grad_norm: 8.3686 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0965 loss: 1.0965 2022/06/30 17:00:03 - mmengine - INFO - Epoch(train) [87][3360/3757] lr: 1.000e-04 eta: 3:45:08 time: 0.262 data_time: 0.016 memory: 6404 grad_norm: 8.4770 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8318 loss: 0.8318 2022/06/30 17:00:08 - mmengine - INFO - Epoch(train) [87][3380/3757] lr: 1.000e-04 eta: 3:45:02 time: 0.249 data_time: 0.014 memory: 6404 grad_norm: 7.8191 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9352 loss: 0.9352 2022/06/30 17:00:13 - mmengine - INFO - Epoch(train) [87][3400/3757] lr: 1.000e-04 eta: 3:44:57 time: 0.248 data_time: 0.012 memory: 6404 grad_norm: 10.3372 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9879 loss: 0.9879 2022/06/30 17:00:19 - mmengine - INFO - Epoch(train) [87][3420/3757] lr: 1.000e-04 eta: 3:44:51 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.4828 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6076 loss: 0.6076 2022/06/30 17:00:24 - mmengine - INFO - Epoch(train) [87][3440/3757] lr: 1.000e-04 eta: 3:44:46 time: 0.253 data_time: 0.015 memory: 6404 grad_norm: 8.4786 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1123 loss: 1.1123 2022/06/30 17:00:29 - mmengine - INFO - Epoch(train) [87][3460/3757] lr: 1.000e-04 eta: 3:44:40 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 9.2487 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9228 loss: 0.9228 2022/06/30 17:00:35 - mmengine - INFO - Epoch(train) [87][3480/3757] lr: 1.000e-04 eta: 3:44:35 time: 0.272 data_time: 0.007 memory: 6404 grad_norm: 11.4405 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3234 loss: 1.3234 2022/06/30 17:00:40 - mmengine - INFO - Epoch(train) [87][3500/3757] lr: 1.000e-04 eta: 3:44:29 time: 0.329 data_time: 0.021 memory: 6404 grad_norm: 9.5373 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9207 loss: 0.9207 2022/06/30 17:00:46 - mmengine - INFO - Epoch(train) [87][3520/3757] lr: 1.000e-04 eta: 3:44:24 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 9.0562 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7910 loss: 0.7910 2022/06/30 17:00:51 - mmengine - INFO - Epoch(train) [87][3540/3757] lr: 1.000e-04 eta: 3:44:18 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 9.9732 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2135 loss: 1.2135 2022/06/30 17:00:56 - mmengine - INFO - Epoch(train) [87][3560/3757] lr: 1.000e-04 eta: 3:44:13 time: 0.250 data_time: 0.015 memory: 6404 grad_norm: 8.3145 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0708 loss: 1.0708 2022/06/30 17:01:02 - mmengine - INFO - Epoch(train) [87][3580/3757] lr: 1.000e-04 eta: 3:44:07 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 8.2991 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0722 loss: 1.0722 2022/06/30 17:01:08 - mmengine - INFO - Epoch(train) [87][3600/3757] lr: 1.000e-04 eta: 3:44:02 time: 0.263 data_time: 0.010 memory: 6404 grad_norm: 7.6762 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8311 loss: 0.8311 2022/06/30 17:01:13 - mmengine - INFO - Epoch(train) [87][3620/3757] lr: 1.000e-04 eta: 3:43:56 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 8.3138 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9141 loss: 0.9141 2022/06/30 17:01:19 - mmengine - INFO - Epoch(train) [87][3640/3757] lr: 1.000e-04 eta: 3:43:51 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 9.8090 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9794 loss: 0.9794 2022/06/30 17:01:24 - mmengine - INFO - Epoch(train) [87][3660/3757] lr: 1.000e-04 eta: 3:43:46 time: 0.271 data_time: 0.075 memory: 6404 grad_norm: 10.1048 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8821 loss: 0.8821 2022/06/30 17:01:30 - mmengine - INFO - Epoch(train) [87][3680/3757] lr: 1.000e-04 eta: 3:43:40 time: 0.374 data_time: 0.009 memory: 6404 grad_norm: 8.9014 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.2542 loss: 1.2542 2022/06/30 17:01:35 - mmengine - INFO - Epoch(train) [87][3700/3757] lr: 1.000e-04 eta: 3:43:35 time: 0.269 data_time: 0.008 memory: 6404 grad_norm: 11.1221 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9341 loss: 0.9341 2022/06/30 17:01:41 - mmengine - INFO - Epoch(train) [87][3720/3757] lr: 1.000e-04 eta: 3:43:29 time: 0.254 data_time: 0.016 memory: 6404 grad_norm: 11.8655 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7865 loss: 0.7865 2022/06/30 17:01:46 - mmengine - INFO - Epoch(train) [87][3740/3757] lr: 1.000e-04 eta: 3:43:24 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 8.7734 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9847 loss: 0.9847 2022/06/30 17:01:50 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 17:01:57 - mmengine - INFO - Epoch(val) [87][20/310] eta: 0:01:27 time: 0.108 data_time: 0.005 memory: 6404 2022/06/30 17:02:03 - mmengine - INFO - Epoch(val) [87][40/310] eta: 0:01:17 time: 0.082 data_time: 0.007 memory: 1479 2022/06/30 17:02:07 - mmengine - INFO - Epoch(val) [87][60/310] eta: 0:00:24 time: 0.095 data_time: 0.010 memory: 1479 2022/06/30 17:02:12 - mmengine - INFO - Epoch(val) [87][80/310] eta: 0:01:13 time: 0.095 data_time: 0.006 memory: 1479 2022/06/30 17:02:18 - mmengine - INFO - Epoch(val) [87][100/310] eta: 0:00:52 time: 0.330 data_time: 0.256 memory: 1479 2022/06/30 17:02:22 - mmengine - INFO - Epoch(val) [87][120/310] eta: 0:00:23 time: 0.092 data_time: 0.016 memory: 1479 2022/06/30 17:02:28 - mmengine - INFO - Epoch(val) [87][140/310] eta: 0:00:52 time: 0.095 data_time: 0.013 memory: 1479 2022/06/30 17:02:34 - mmengine - INFO - Epoch(val) [87][160/310] eta: 0:00:46 time: 0.539 data_time: 0.462 memory: 1479 2022/06/30 17:02:38 - mmengine - INFO - Epoch(val) [87][180/310] eta: 0:00:20 time: 0.088 data_time: 0.005 memory: 1479 2022/06/30 17:02:44 - mmengine - INFO - Epoch(val) [87][200/310] eta: 0:00:30 time: 0.088 data_time: 0.005 memory: 1479 2022/06/30 17:02:49 - mmengine - INFO - Epoch(val) [87][220/310] eta: 0:00:26 time: 0.300 data_time: 0.227 memory: 1479 2022/06/30 17:02:53 - mmengine - INFO - Epoch(val) [87][240/310] eta: 0:00:12 time: 0.091 data_time: 0.012 memory: 1479 2022/06/30 17:02:59 - mmengine - INFO - Epoch(val) [87][260/310] eta: 0:00:15 time: 0.084 data_time: 0.009 memory: 1479 2022/06/30 17:03:06 - mmengine - INFO - Epoch(val) [87][280/310] eta: 0:00:09 time: 1.128 data_time: 1.051 memory: 1479 2022/06/30 17:03:09 - mmengine - INFO - Epoch(val) [87][300/310] eta: 0:00:02 time: 0.087 data_time: 0.007 memory: 1479 2022/06/30 17:03:13 - mmengine - INFO - Epoch(val) [87][310/310] acc/top1: 0.6761 acc/top5: 0.8728 acc/mean1: 0.6760 2022/06/30 17:03:22 - mmengine - INFO - Epoch(train) [88][20/3757] lr: 1.000e-04 eta: 3:43:14 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 8.9081 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8183 loss: 0.8183 2022/06/30 17:03:28 - mmengine - INFO - Epoch(train) [88][40/3757] lr: 1.000e-04 eta: 3:43:08 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.7247 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2434 loss: 1.2434 2022/06/30 17:03:34 - mmengine - INFO - Epoch(train) [88][60/3757] lr: 1.000e-04 eta: 3:43:03 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 9.1548 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8745 loss: 0.8745 2022/06/30 17:03:40 - mmengine - INFO - Epoch(train) [88][80/3757] lr: 1.000e-04 eta: 3:42:57 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 7.6676 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3656 loss: 1.3656 2022/06/30 17:03:45 - mmengine - INFO - Epoch(train) [88][100/3757] lr: 1.000e-04 eta: 3:42:52 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 7.1739 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0501 loss: 1.0501 2022/06/30 17:03:50 - mmengine - INFO - Epoch(train) [88][120/3757] lr: 1.000e-04 eta: 3:42:46 time: 0.519 data_time: 0.011 memory: 6404 grad_norm: 6.6365 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1160 loss: 1.1160 2022/06/30 17:03:56 - mmengine - INFO - Epoch(train) [88][140/3757] lr: 1.000e-04 eta: 3:42:41 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 9.9604 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1269 loss: 1.1269 2022/06/30 17:03:56 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 17:04:01 - mmengine - INFO - Epoch(train) [88][160/3757] lr: 1.000e-04 eta: 3:42:35 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 8.3327 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8650 loss: 0.8650 2022/06/30 17:04:06 - mmengine - INFO - Epoch(train) [88][180/3757] lr: 1.000e-04 eta: 3:42:30 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 9.3270 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8379 loss: 0.8379 2022/06/30 17:04:12 - mmengine - INFO - Epoch(train) [88][200/3757] lr: 1.000e-04 eta: 3:42:24 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 8.2314 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8446 loss: 0.8446 2022/06/30 17:04:17 - mmengine - INFO - Epoch(train) [88][220/3757] lr: 1.000e-04 eta: 3:42:19 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 9.5414 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4164 loss: 1.4164 2022/06/30 17:04:22 - mmengine - INFO - Epoch(train) [88][240/3757] lr: 1.000e-04 eta: 3:42:13 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 8.7154 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8572 loss: 0.8572 2022/06/30 17:04:28 - mmengine - INFO - Epoch(train) [88][260/3757] lr: 1.000e-04 eta: 3:42:08 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 9.1277 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7837 loss: 0.7837 2022/06/30 17:04:34 - mmengine - INFO - Epoch(train) [88][280/3757] lr: 1.000e-04 eta: 3:42:02 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 8.9062 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4047 loss: 1.4047 2022/06/30 17:04:39 - mmengine - INFO - Epoch(train) [88][300/3757] lr: 1.000e-04 eta: 3:41:57 time: 0.275 data_time: 0.007 memory: 6404 grad_norm: 9.2658 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1542 loss: 1.1542 2022/06/30 17:04:45 - mmengine - INFO - Epoch(train) [88][320/3757] lr: 1.000e-04 eta: 3:41:51 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.0553 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0155 loss: 1.0155 2022/06/30 17:04:50 - mmengine - INFO - Epoch(train) [88][340/3757] lr: 1.000e-04 eta: 3:41:46 time: 0.426 data_time: 0.010 memory: 6404 grad_norm: 7.9402 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2637 loss: 1.2637 2022/06/30 17:04:56 - mmengine - INFO - Epoch(train) [88][360/3757] lr: 1.000e-04 eta: 3:41:40 time: 0.270 data_time: 0.011 memory: 6404 grad_norm: 8.3940 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6765 loss: 0.6765 2022/06/30 17:05:01 - mmengine - INFO - Epoch(train) [88][380/3757] lr: 1.000e-04 eta: 3:41:35 time: 0.263 data_time: 0.008 memory: 6404 grad_norm: 8.1529 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9122 loss: 0.9122 2022/06/30 17:05:07 - mmengine - INFO - Epoch(train) [88][400/3757] lr: 1.000e-04 eta: 3:41:29 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 8.6810 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0982 loss: 1.0982 2022/06/30 17:05:13 - mmengine - INFO - Epoch(train) [88][420/3757] lr: 1.000e-04 eta: 3:41:24 time: 0.285 data_time: 0.007 memory: 6404 grad_norm: 10.0521 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9961 loss: 0.9961 2022/06/30 17:05:18 - mmengine - INFO - Epoch(train) [88][440/3757] lr: 1.000e-04 eta: 3:41:18 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 7.7865 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0870 loss: 1.0870 2022/06/30 17:05:24 - mmengine - INFO - Epoch(train) [88][460/3757] lr: 1.000e-04 eta: 3:41:13 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 9.5283 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9159 loss: 0.9159 2022/06/30 17:05:29 - mmengine - INFO - Epoch(train) [88][480/3757] lr: 1.000e-04 eta: 3:41:07 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 8.6506 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8188 loss: 0.8188 2022/06/30 17:05:35 - mmengine - INFO - Epoch(train) [88][500/3757] lr: 1.000e-04 eta: 3:41:02 time: 0.254 data_time: 0.006 memory: 6404 grad_norm: 8.6222 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2165 loss: 1.2165 2022/06/30 17:05:40 - mmengine - INFO - Epoch(train) [88][520/3757] lr: 1.000e-04 eta: 3:40:56 time: 0.252 data_time: 0.021 memory: 6404 grad_norm: 9.5386 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7790 loss: 0.7790 2022/06/30 17:05:45 - mmengine - INFO - Epoch(train) [88][540/3757] lr: 1.000e-04 eta: 3:40:51 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 8.7772 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7935 loss: 0.7935 2022/06/30 17:05:51 - mmengine - INFO - Epoch(train) [88][560/3757] lr: 1.000e-04 eta: 3:40:45 time: 0.265 data_time: 0.032 memory: 6404 grad_norm: 8.1769 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.7765 loss: 0.7765 2022/06/30 17:05:57 - mmengine - INFO - Epoch(train) [88][580/3757] lr: 1.000e-04 eta: 3:40:40 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 6.3279 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7549 loss: 0.7549 2022/06/30 17:06:02 - mmengine - INFO - Epoch(train) [88][600/3757] lr: 1.000e-04 eta: 3:40:34 time: 0.258 data_time: 0.013 memory: 6404 grad_norm: 9.0706 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9594 loss: 0.9594 2022/06/30 17:06:07 - mmengine - INFO - Epoch(train) [88][620/3757] lr: 1.000e-04 eta: 3:40:29 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 8.9662 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8496 loss: 0.8496 2022/06/30 17:06:13 - mmengine - INFO - Epoch(train) [88][640/3757] lr: 1.000e-04 eta: 3:40:24 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 7.6198 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7664 loss: 0.7664 2022/06/30 17:06:18 - mmengine - INFO - Epoch(train) [88][660/3757] lr: 1.000e-04 eta: 3:40:18 time: 0.274 data_time: 0.012 memory: 6404 grad_norm: 8.7901 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0172 loss: 1.0172 2022/06/30 17:06:24 - mmengine - INFO - Epoch(train) [88][680/3757] lr: 1.000e-04 eta: 3:40:12 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 9.9839 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0215 loss: 1.0215 2022/06/30 17:06:29 - mmengine - INFO - Epoch(train) [88][700/3757] lr: 1.000e-04 eta: 3:40:07 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 11.2879 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0294 loss: 1.0294 2022/06/30 17:06:35 - mmengine - INFO - Epoch(train) [88][720/3757] lr: 1.000e-04 eta: 3:40:01 time: 0.264 data_time: 0.017 memory: 6404 grad_norm: 8.5414 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9970 loss: 0.9970 2022/06/30 17:06:40 - mmengine - INFO - Epoch(train) [88][740/3757] lr: 1.000e-04 eta: 3:39:56 time: 0.242 data_time: 0.019 memory: 6404 grad_norm: 8.7729 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2666 loss: 1.2666 2022/06/30 17:06:45 - mmengine - INFO - Epoch(train) [88][760/3757] lr: 1.000e-04 eta: 3:39:50 time: 0.278 data_time: 0.011 memory: 6404 grad_norm: 10.4318 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9149 loss: 0.9149 2022/06/30 17:06:50 - mmengine - INFO - Epoch(train) [88][780/3757] lr: 1.000e-04 eta: 3:39:45 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 8.0970 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0937 loss: 1.0937 2022/06/30 17:06:56 - mmengine - INFO - Epoch(train) [88][800/3757] lr: 1.000e-04 eta: 3:39:39 time: 0.276 data_time: 0.016 memory: 6404 grad_norm: 8.7823 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9719 loss: 0.9719 2022/06/30 17:07:01 - mmengine - INFO - Epoch(train) [88][820/3757] lr: 1.000e-04 eta: 3:39:34 time: 0.268 data_time: 0.008 memory: 6404 grad_norm: 8.8851 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9223 loss: 0.9223 2022/06/30 17:07:07 - mmengine - INFO - Epoch(train) [88][840/3757] lr: 1.000e-04 eta: 3:39:28 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 8.3431 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8657 loss: 0.8657 2022/06/30 17:07:13 - mmengine - INFO - Epoch(train) [88][860/3757] lr: 1.000e-04 eta: 3:39:23 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.4153 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2162 loss: 1.2162 2022/06/30 17:07:18 - mmengine - INFO - Epoch(train) [88][880/3757] lr: 1.000e-04 eta: 3:39:17 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 8.3638 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.6727 loss: 0.6727 2022/06/30 17:07:23 - mmengine - INFO - Epoch(train) [88][900/3757] lr: 1.000e-04 eta: 3:39:12 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.1773 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1737 loss: 1.1737 2022/06/30 17:07:28 - mmengine - INFO - Epoch(train) [88][920/3757] lr: 1.000e-04 eta: 3:39:06 time: 0.255 data_time: 0.014 memory: 6404 grad_norm: 8.7302 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1773 loss: 1.1773 2022/06/30 17:07:34 - mmengine - INFO - Epoch(train) [88][940/3757] lr: 1.000e-04 eta: 3:39:01 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 9.4838 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6915 loss: 0.6915 2022/06/30 17:07:39 - mmengine - INFO - Epoch(train) [88][960/3757] lr: 1.000e-04 eta: 3:38:55 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 9.3121 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8709 loss: 0.8709 2022/06/30 17:07:45 - mmengine - INFO - Epoch(train) [88][980/3757] lr: 1.000e-04 eta: 3:38:50 time: 0.251 data_time: 0.018 memory: 6404 grad_norm: 9.5125 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1176 loss: 1.1176 2022/06/30 17:07:50 - mmengine - INFO - Epoch(train) [88][1000/3757] lr: 1.000e-04 eta: 3:38:44 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 11.6278 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2921 loss: 1.2921 2022/06/30 17:07:55 - mmengine - INFO - Epoch(train) [88][1020/3757] lr: 1.000e-04 eta: 3:38:39 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 10.1219 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2272 loss: 1.2272 2022/06/30 17:08:01 - mmengine - INFO - Epoch(train) [88][1040/3757] lr: 1.000e-04 eta: 3:38:33 time: 0.251 data_time: 0.014 memory: 6404 grad_norm: 10.0220 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2345 loss: 1.2345 2022/06/30 17:08:06 - mmengine - INFO - Epoch(train) [88][1060/3757] lr: 1.000e-04 eta: 3:38:28 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 10.5346 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0019 loss: 1.0019 2022/06/30 17:08:12 - mmengine - INFO - Epoch(train) [88][1080/3757] lr: 1.000e-04 eta: 3:38:22 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 9.4828 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9231 loss: 0.9231 2022/06/30 17:08:17 - mmengine - INFO - Epoch(train) [88][1100/3757] lr: 1.000e-04 eta: 3:38:17 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 8.7010 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1496 loss: 1.1496 2022/06/30 17:08:22 - mmengine - INFO - Epoch(train) [88][1120/3757] lr: 1.000e-04 eta: 3:38:11 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 7.2371 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9402 loss: 0.9402 2022/06/30 17:08:28 - mmengine - INFO - Epoch(train) [88][1140/3757] lr: 1.000e-04 eta: 3:38:06 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 8.2952 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2116 loss: 1.2116 2022/06/30 17:08:28 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 17:08:34 - mmengine - INFO - Epoch(train) [88][1160/3757] lr: 1.000e-04 eta: 3:38:01 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 8.2718 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0037 loss: 1.0037 2022/06/30 17:08:39 - mmengine - INFO - Epoch(train) [88][1180/3757] lr: 1.000e-04 eta: 3:37:55 time: 0.263 data_time: 0.008 memory: 6404 grad_norm: 9.7667 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9869 loss: 0.9869 2022/06/30 17:08:44 - mmengine - INFO - Epoch(train) [88][1200/3757] lr: 1.000e-04 eta: 3:37:49 time: 0.249 data_time: 0.018 memory: 6404 grad_norm: 9.6163 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2097 loss: 1.2097 2022/06/30 17:08:50 - mmengine - INFO - Epoch(train) [88][1220/3757] lr: 1.000e-04 eta: 3:37:44 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 8.5844 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2205 loss: 1.2205 2022/06/30 17:08:56 - mmengine - INFO - Epoch(train) [88][1240/3757] lr: 1.000e-04 eta: 3:37:38 time: 0.289 data_time: 0.021 memory: 6404 grad_norm: 7.3889 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8841 loss: 0.8841 2022/06/30 17:09:01 - mmengine - INFO - Epoch(train) [88][1260/3757] lr: 1.000e-04 eta: 3:37:33 time: 0.256 data_time: 0.026 memory: 6404 grad_norm: 9.7359 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0632 loss: 1.0632 2022/06/30 17:09:06 - mmengine - INFO - Epoch(train) [88][1280/3757] lr: 1.000e-04 eta: 3:37:27 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.7593 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7047 loss: 0.7047 2022/06/30 17:09:12 - mmengine - INFO - Epoch(train) [88][1300/3757] lr: 1.000e-04 eta: 3:37:22 time: 0.356 data_time: 0.007 memory: 6404 grad_norm: 10.2110 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8402 loss: 0.8402 2022/06/30 17:09:17 - mmengine - INFO - Epoch(train) [88][1320/3757] lr: 1.000e-04 eta: 3:37:16 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 7.2756 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2040 loss: 1.2040 2022/06/30 17:09:23 - mmengine - INFO - Epoch(train) [88][1340/3757] lr: 1.000e-04 eta: 3:37:11 time: 0.306 data_time: 0.007 memory: 6404 grad_norm: 10.2810 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9884 loss: 0.9884 2022/06/30 17:09:28 - mmengine - INFO - Epoch(train) [88][1360/3757] lr: 1.000e-04 eta: 3:37:05 time: 0.268 data_time: 0.008 memory: 6404 grad_norm: 10.0979 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0649 loss: 1.0649 2022/06/30 17:09:33 - mmengine - INFO - Epoch(train) [88][1380/3757] lr: 1.000e-04 eta: 3:37:00 time: 0.253 data_time: 0.021 memory: 6404 grad_norm: 9.1433 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9496 loss: 0.9496 2022/06/30 17:09:39 - mmengine - INFO - Epoch(train) [88][1400/3757] lr: 1.000e-04 eta: 3:36:54 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 8.0191 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9367 loss: 0.9367 2022/06/30 17:09:44 - mmengine - INFO - Epoch(train) [88][1420/3757] lr: 1.000e-04 eta: 3:36:49 time: 0.266 data_time: 0.008 memory: 6404 grad_norm: 8.3555 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9685 loss: 0.9685 2022/06/30 17:09:50 - mmengine - INFO - Epoch(train) [88][1440/3757] lr: 1.000e-04 eta: 3:36:43 time: 0.267 data_time: 0.017 memory: 6404 grad_norm: 6.8871 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9917 loss: 0.9917 2022/06/30 17:09:56 - mmengine - INFO - Epoch(train) [88][1460/3757] lr: 1.000e-04 eta: 3:36:38 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 8.8469 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3749 loss: 1.3749 2022/06/30 17:10:01 - mmengine - INFO - Epoch(train) [88][1480/3757] lr: 1.000e-04 eta: 3:36:33 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.2941 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8219 loss: 0.8219 2022/06/30 17:10:06 - mmengine - INFO - Epoch(train) [88][1500/3757] lr: 1.000e-04 eta: 3:36:27 time: 0.258 data_time: 0.017 memory: 6404 grad_norm: 8.1488 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9071 loss: 0.9071 2022/06/30 17:10:12 - mmengine - INFO - Epoch(train) [88][1520/3757] lr: 1.000e-04 eta: 3:36:22 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 10.2699 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0836 loss: 1.0836 2022/06/30 17:10:17 - mmengine - INFO - Epoch(train) [88][1540/3757] lr: 1.000e-04 eta: 3:36:16 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 7.9411 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0928 loss: 1.0928 2022/06/30 17:10:22 - mmengine - INFO - Epoch(train) [88][1560/3757] lr: 1.000e-04 eta: 3:36:10 time: 0.269 data_time: 0.071 memory: 6404 grad_norm: 8.8209 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8524 loss: 0.8524 2022/06/30 17:10:28 - mmengine - INFO - Epoch(train) [88][1580/3757] lr: 1.000e-04 eta: 3:36:05 time: 0.268 data_time: 0.009 memory: 6404 grad_norm: 8.4921 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8742 loss: 0.8742 2022/06/30 17:10:34 - mmengine - INFO - Epoch(train) [88][1600/3757] lr: 1.000e-04 eta: 3:36:00 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 10.4240 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9297 loss: 0.9297 2022/06/30 17:10:39 - mmengine - INFO - Epoch(train) [88][1620/3757] lr: 1.000e-04 eta: 3:35:54 time: 0.271 data_time: 0.029 memory: 6404 grad_norm: 9.7771 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8346 loss: 0.8346 2022/06/30 17:10:44 - mmengine - INFO - Epoch(train) [88][1640/3757] lr: 1.000e-04 eta: 3:35:49 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 10.0385 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1387 loss: 1.1387 2022/06/30 17:10:50 - mmengine - INFO - Epoch(train) [88][1660/3757] lr: 1.000e-04 eta: 3:35:43 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.0248 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9830 loss: 0.9830 2022/06/30 17:10:55 - mmengine - INFO - Epoch(train) [88][1680/3757] lr: 1.000e-04 eta: 3:35:38 time: 0.258 data_time: 0.022 memory: 6404 grad_norm: 9.1194 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1729 loss: 1.1729 2022/06/30 17:11:00 - mmengine - INFO - Epoch(train) [88][1700/3757] lr: 1.000e-04 eta: 3:35:32 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 8.8772 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2766 loss: 1.2766 2022/06/30 17:11:06 - mmengine - INFO - Epoch(train) [88][1720/3757] lr: 1.000e-04 eta: 3:35:26 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 10.9799 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0616 loss: 1.0616 2022/06/30 17:11:11 - mmengine - INFO - Epoch(train) [88][1740/3757] lr: 1.000e-04 eta: 3:35:21 time: 0.849 data_time: 0.452 memory: 6404 grad_norm: 10.5337 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2795 loss: 1.2795 2022/06/30 17:11:17 - mmengine - INFO - Epoch(train) [88][1760/3757] lr: 1.000e-04 eta: 3:35:15 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 9.1814 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8636 loss: 0.8636 2022/06/30 17:11:22 - mmengine - INFO - Epoch(train) [88][1780/3757] lr: 1.000e-04 eta: 3:35:10 time: 0.252 data_time: 0.015 memory: 6404 grad_norm: 9.1771 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8895 loss: 0.8895 2022/06/30 17:11:27 - mmengine - INFO - Epoch(train) [88][1800/3757] lr: 1.000e-04 eta: 3:35:04 time: 0.248 data_time: 0.018 memory: 6404 grad_norm: 7.0805 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1660 loss: 1.1660 2022/06/30 17:11:33 - mmengine - INFO - Epoch(train) [88][1820/3757] lr: 1.000e-04 eta: 3:34:59 time: 0.310 data_time: 0.007 memory: 6404 grad_norm: 10.6678 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2745 loss: 1.2745 2022/06/30 17:11:38 - mmengine - INFO - Epoch(train) [88][1840/3757] lr: 1.000e-04 eta: 3:34:54 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 8.7423 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9731 loss: 0.9731 2022/06/30 17:11:44 - mmengine - INFO - Epoch(train) [88][1860/3757] lr: 1.000e-04 eta: 3:34:48 time: 0.249 data_time: 0.024 memory: 6404 grad_norm: 10.7346 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9367 loss: 0.9367 2022/06/30 17:11:49 - mmengine - INFO - Epoch(train) [88][1880/3757] lr: 1.000e-04 eta: 3:34:43 time: 0.263 data_time: 0.008 memory: 6404 grad_norm: 9.1304 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1052 loss: 1.1052 2022/06/30 17:11:55 - mmengine - INFO - Epoch(train) [88][1900/3757] lr: 1.000e-04 eta: 3:34:37 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 8.4629 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0298 loss: 1.0298 2022/06/30 17:12:00 - mmengine - INFO - Epoch(train) [88][1920/3757] lr: 1.000e-04 eta: 3:34:32 time: 0.259 data_time: 0.068 memory: 6404 grad_norm: 8.5467 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2058 loss: 1.2058 2022/06/30 17:12:06 - mmengine - INFO - Epoch(train) [88][1940/3757] lr: 1.000e-04 eta: 3:34:26 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 7.2452 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7406 loss: 0.7406 2022/06/30 17:12:12 - mmengine - INFO - Epoch(train) [88][1960/3757] lr: 1.000e-04 eta: 3:34:21 time: 0.947 data_time: 0.024 memory: 6404 grad_norm: 9.5696 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5859 loss: 0.5859 2022/06/30 17:12:17 - mmengine - INFO - Epoch(train) [88][1980/3757] lr: 1.000e-04 eta: 3:34:15 time: 0.286 data_time: 0.021 memory: 6404 grad_norm: 10.7686 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8884 loss: 0.8884 2022/06/30 17:12:22 - mmengine - INFO - Epoch(train) [88][2000/3757] lr: 1.000e-04 eta: 3:34:10 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 8.4721 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8399 loss: 0.8399 2022/06/30 17:12:28 - mmengine - INFO - Epoch(train) [88][2020/3757] lr: 1.000e-04 eta: 3:34:04 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 9.1170 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2130 loss: 1.2130 2022/06/30 17:12:33 - mmengine - INFO - Epoch(train) [88][2040/3757] lr: 1.000e-04 eta: 3:33:59 time: 0.245 data_time: 0.021 memory: 6404 grad_norm: 11.1553 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 0.9289 loss: 0.9289 2022/06/30 17:12:39 - mmengine - INFO - Epoch(train) [88][2060/3757] lr: 1.000e-04 eta: 3:33:53 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 7.9489 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0114 loss: 1.0114 2022/06/30 17:12:44 - mmengine - INFO - Epoch(train) [88][2080/3757] lr: 1.000e-04 eta: 3:33:48 time: 0.247 data_time: 0.016 memory: 6404 grad_norm: 8.4913 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.6400 loss: 0.6400 2022/06/30 17:12:49 - mmengine - INFO - Epoch(train) [88][2100/3757] lr: 1.000e-04 eta: 3:33:42 time: 0.287 data_time: 0.087 memory: 6404 grad_norm: 10.0060 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1907 loss: 1.1907 2022/06/30 17:12:55 - mmengine - INFO - Epoch(train) [88][2120/3757] lr: 1.000e-04 eta: 3:33:37 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 9.3626 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0941 loss: 1.0941 2022/06/30 17:13:00 - mmengine - INFO - Epoch(train) [88][2140/3757] lr: 1.000e-04 eta: 3:33:31 time: 0.254 data_time: 0.023 memory: 6404 grad_norm: 7.1310 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8534 loss: 0.8534 2022/06/30 17:13:01 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 17:13:06 - mmengine - INFO - Epoch(train) [88][2160/3757] lr: 1.000e-04 eta: 3:33:26 time: 0.260 data_time: 0.021 memory: 6404 grad_norm: 7.0697 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9642 loss: 0.9642 2022/06/30 17:13:12 - mmengine - INFO - Epoch(train) [88][2180/3757] lr: 1.000e-04 eta: 3:33:20 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.7201 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9645 loss: 0.9645 2022/06/30 17:13:17 - mmengine - INFO - Epoch(train) [88][2200/3757] lr: 1.000e-04 eta: 3:33:15 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 9.1448 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0508 loss: 1.0508 2022/06/30 17:13:22 - mmengine - INFO - Epoch(train) [88][2220/3757] lr: 1.000e-04 eta: 3:33:09 time: 0.388 data_time: 0.028 memory: 6404 grad_norm: 9.4451 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1696 loss: 1.1696 2022/06/30 17:13:28 - mmengine - INFO - Epoch(train) [88][2240/3757] lr: 1.000e-04 eta: 3:33:04 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 8.8370 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8548 loss: 0.8548 2022/06/30 17:13:34 - mmengine - INFO - Epoch(train) [88][2260/3757] lr: 1.000e-04 eta: 3:32:58 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 7.6877 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8971 loss: 0.8971 2022/06/30 17:13:39 - mmengine - INFO - Epoch(train) [88][2280/3757] lr: 1.000e-04 eta: 3:32:53 time: 0.269 data_time: 0.025 memory: 6404 grad_norm: 8.6115 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1842 loss: 1.1842 2022/06/30 17:13:45 - mmengine - INFO - Epoch(train) [88][2300/3757] lr: 1.000e-04 eta: 3:32:47 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 9.9990 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0743 loss: 1.0743 2022/06/30 17:13:50 - mmengine - INFO - Epoch(train) [88][2320/3757] lr: 1.000e-04 eta: 3:32:42 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 11.1535 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.6844 loss: 0.6844 2022/06/30 17:13:56 - mmengine - INFO - Epoch(train) [88][2340/3757] lr: 1.000e-04 eta: 3:32:36 time: 0.262 data_time: 0.020 memory: 6404 grad_norm: 7.7922 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6726 loss: 0.6726 2022/06/30 17:14:01 - mmengine - INFO - Epoch(train) [88][2360/3757] lr: 1.000e-04 eta: 3:32:31 time: 0.283 data_time: 0.008 memory: 6404 grad_norm: 6.8567 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8930 loss: 0.8930 2022/06/30 17:14:07 - mmengine - INFO - Epoch(train) [88][2380/3757] lr: 1.000e-04 eta: 3:32:25 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 8.3884 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9573 loss: 0.9573 2022/06/30 17:14:12 - mmengine - INFO - Epoch(train) [88][2400/3757] lr: 1.000e-04 eta: 3:32:20 time: 0.461 data_time: 0.010 memory: 6404 grad_norm: 8.2665 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1732 loss: 1.1732 2022/06/30 17:14:17 - mmengine - INFO - Epoch(train) [88][2420/3757] lr: 1.000e-04 eta: 3:32:14 time: 0.278 data_time: 0.009 memory: 6404 grad_norm: 9.4048 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0830 loss: 1.0830 2022/06/30 17:14:23 - mmengine - INFO - Epoch(train) [88][2440/3757] lr: 1.000e-04 eta: 3:32:09 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 9.1681 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9249 loss: 0.9249 2022/06/30 17:14:28 - mmengine - INFO - Epoch(train) [88][2460/3757] lr: 1.000e-04 eta: 3:32:03 time: 0.259 data_time: 0.022 memory: 6404 grad_norm: 9.9123 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5241 loss: 1.5241 2022/06/30 17:14:34 - mmengine - INFO - Epoch(train) [88][2480/3757] lr: 1.000e-04 eta: 3:31:58 time: 0.426 data_time: 0.012 memory: 6404 grad_norm: 8.2492 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1587 loss: 1.1587 2022/06/30 17:14:39 - mmengine - INFO - Epoch(train) [88][2500/3757] lr: 1.000e-04 eta: 3:31:52 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 9.3402 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1176 loss: 1.1176 2022/06/30 17:14:45 - mmengine - INFO - Epoch(train) [88][2520/3757] lr: 1.000e-04 eta: 3:31:47 time: 0.248 data_time: 0.021 memory: 6404 grad_norm: 8.2453 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7366 loss: 0.7366 2022/06/30 17:14:50 - mmengine - INFO - Epoch(train) [88][2540/3757] lr: 1.000e-04 eta: 3:31:41 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 9.4855 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1484 loss: 1.1484 2022/06/30 17:14:56 - mmengine - INFO - Epoch(train) [88][2560/3757] lr: 1.000e-04 eta: 3:31:36 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 8.1121 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2729 loss: 1.2729 2022/06/30 17:15:02 - mmengine - INFO - Epoch(train) [88][2580/3757] lr: 1.000e-04 eta: 3:31:30 time: 0.250 data_time: 0.025 memory: 6404 grad_norm: 8.1101 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9465 loss: 0.9465 2022/06/30 17:15:08 - mmengine - INFO - Epoch(train) [88][2600/3757] lr: 1.000e-04 eta: 3:31:25 time: 0.242 data_time: 0.031 memory: 6404 grad_norm: 9.2867 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6328 loss: 0.6328 2022/06/30 17:15:13 - mmengine - INFO - Epoch(train) [88][2620/3757] lr: 1.000e-04 eta: 3:31:20 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 9.3622 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1474 loss: 1.1474 2022/06/30 17:15:19 - mmengine - INFO - Epoch(train) [88][2640/3757] lr: 1.000e-04 eta: 3:31:14 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 8.5539 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0058 loss: 1.0058 2022/06/30 17:15:25 - mmengine - INFO - Epoch(train) [88][2660/3757] lr: 1.000e-04 eta: 3:31:09 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 6.7338 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8962 loss: 0.8962 2022/06/30 17:15:30 - mmengine - INFO - Epoch(train) [88][2680/3757] lr: 1.000e-04 eta: 3:31:03 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 9.9429 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0762 loss: 1.0762 2022/06/30 17:15:36 - mmengine - INFO - Epoch(train) [88][2700/3757] lr: 1.000e-04 eta: 3:30:58 time: 0.277 data_time: 0.023 memory: 6404 grad_norm: 8.8721 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2923 loss: 1.2923 2022/06/30 17:15:41 - mmengine - INFO - Epoch(train) [88][2720/3757] lr: 1.000e-04 eta: 3:30:52 time: 0.252 data_time: 0.051 memory: 6404 grad_norm: 8.0859 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0911 loss: 1.0911 2022/06/30 17:15:47 - mmengine - INFO - Epoch(train) [88][2740/3757] lr: 1.000e-04 eta: 3:30:47 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 9.0170 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8213 loss: 0.8213 2022/06/30 17:15:52 - mmengine - INFO - Epoch(train) [88][2760/3757] lr: 1.000e-04 eta: 3:30:41 time: 0.266 data_time: 0.017 memory: 6404 grad_norm: 6.8507 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8155 loss: 0.8155 2022/06/30 17:15:57 - mmengine - INFO - Epoch(train) [88][2780/3757] lr: 1.000e-04 eta: 3:30:36 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 9.3227 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1624 loss: 1.1624 2022/06/30 17:16:03 - mmengine - INFO - Epoch(train) [88][2800/3757] lr: 1.000e-04 eta: 3:30:30 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 10.2134 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9409 loss: 0.9409 2022/06/30 17:16:08 - mmengine - INFO - Epoch(train) [88][2820/3757] lr: 1.000e-04 eta: 3:30:25 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 11.1700 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2674 loss: 1.2674 2022/06/30 17:16:14 - mmengine - INFO - Epoch(train) [88][2840/3757] lr: 1.000e-04 eta: 3:30:19 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 10.4281 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1198 loss: 1.1198 2022/06/30 17:16:19 - mmengine - INFO - Epoch(train) [88][2860/3757] lr: 1.000e-04 eta: 3:30:14 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 10.9705 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8132 loss: 0.8132 2022/06/30 17:16:25 - mmengine - INFO - Epoch(train) [88][2880/3757] lr: 1.000e-04 eta: 3:30:08 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.7607 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2382 loss: 1.2382 2022/06/30 17:16:30 - mmengine - INFO - Epoch(train) [88][2900/3757] lr: 1.000e-04 eta: 3:30:03 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 10.3227 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2547 loss: 1.2547 2022/06/30 17:16:35 - mmengine - INFO - Epoch(train) [88][2920/3757] lr: 1.000e-04 eta: 3:29:57 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 9.2335 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8379 loss: 0.8379 2022/06/30 17:16:42 - mmengine - INFO - Epoch(train) [88][2940/3757] lr: 1.000e-04 eta: 3:29:52 time: 0.479 data_time: 0.029 memory: 6404 grad_norm: 9.0254 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9557 loss: 0.9557 2022/06/30 17:16:47 - mmengine - INFO - Epoch(train) [88][2960/3757] lr: 1.000e-04 eta: 3:29:46 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.2872 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2566 loss: 1.2566 2022/06/30 17:16:52 - mmengine - INFO - Epoch(train) [88][2980/3757] lr: 1.000e-04 eta: 3:29:41 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 8.6558 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1666 loss: 1.1666 2022/06/30 17:17:01 - mmengine - INFO - Epoch(train) [88][3000/3757] lr: 1.000e-04 eta: 3:29:36 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 9.2659 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2072 loss: 1.2072 2022/06/30 17:17:07 - mmengine - INFO - Epoch(train) [88][3020/3757] lr: 1.000e-04 eta: 3:29:30 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 8.3170 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2929 loss: 1.2929 2022/06/30 17:17:12 - mmengine - INFO - Epoch(train) [88][3040/3757] lr: 1.000e-04 eta: 3:29:25 time: 0.258 data_time: 0.013 memory: 6404 grad_norm: 10.0512 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9007 loss: 0.9007 2022/06/30 17:17:17 - mmengine - INFO - Epoch(train) [88][3060/3757] lr: 1.000e-04 eta: 3:29:19 time: 0.254 data_time: 0.054 memory: 6404 grad_norm: 8.7677 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1355 loss: 1.1355 2022/06/30 17:17:23 - mmengine - INFO - Epoch(train) [88][3080/3757] lr: 1.000e-04 eta: 3:29:14 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 9.5468 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2452 loss: 1.2452 2022/06/30 17:17:28 - mmengine - INFO - Epoch(train) [88][3100/3757] lr: 1.000e-04 eta: 3:29:08 time: 0.254 data_time: 0.022 memory: 6404 grad_norm: 8.8343 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8652 loss: 0.8652 2022/06/30 17:17:33 - mmengine - INFO - Epoch(train) [88][3120/3757] lr: 1.000e-04 eta: 3:29:03 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 8.6212 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8997 loss: 0.8997 2022/06/30 17:17:39 - mmengine - INFO - Epoch(train) [88][3140/3757] lr: 1.000e-04 eta: 3:28:57 time: 0.244 data_time: 0.018 memory: 6404 grad_norm: 8.7387 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9753 loss: 0.9753 2022/06/30 17:17:40 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 17:17:46 - mmengine - INFO - Epoch(train) [88][3160/3757] lr: 1.000e-04 eta: 3:28:52 time: 0.316 data_time: 0.008 memory: 6404 grad_norm: 9.4899 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2775 loss: 1.2775 2022/06/30 17:17:51 - mmengine - INFO - Epoch(train) [88][3180/3757] lr: 1.000e-04 eta: 3:28:46 time: 0.255 data_time: 0.015 memory: 6404 grad_norm: 10.9744 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8039 loss: 0.8039 2022/06/30 17:17:57 - mmengine - INFO - Epoch(train) [88][3200/3757] lr: 1.000e-04 eta: 3:28:41 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 9.9205 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8795 loss: 0.8795 2022/06/30 17:18:03 - mmengine - INFO - Epoch(train) [88][3220/3757] lr: 1.000e-04 eta: 3:28:36 time: 0.259 data_time: 0.052 memory: 6404 grad_norm: 10.4610 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9714 loss: 0.9714 2022/06/30 17:18:08 - mmengine - INFO - Epoch(train) [88][3240/3757] lr: 1.000e-04 eta: 3:28:30 time: 0.288 data_time: 0.022 memory: 6404 grad_norm: 8.0087 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8028 loss: 0.8028 2022/06/30 17:18:14 - mmengine - INFO - Epoch(train) [88][3260/3757] lr: 1.000e-04 eta: 3:28:25 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 9.3435 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7600 loss: 0.7600 2022/06/30 17:18:19 - mmengine - INFO - Epoch(train) [88][3280/3757] lr: 1.000e-04 eta: 3:28:19 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 9.4300 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9098 loss: 0.9098 2022/06/30 17:18:25 - mmengine - INFO - Epoch(train) [88][3300/3757] lr: 1.000e-04 eta: 3:28:14 time: 0.259 data_time: 0.025 memory: 6404 grad_norm: 8.6795 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7599 loss: 0.7599 2022/06/30 17:18:30 - mmengine - INFO - Epoch(train) [88][3320/3757] lr: 1.000e-04 eta: 3:28:08 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 7.2547 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1375 loss: 1.1375 2022/06/30 17:18:36 - mmengine - INFO - Epoch(train) [88][3340/3757] lr: 1.000e-04 eta: 3:28:03 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 8.2754 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3174 loss: 1.3174 2022/06/30 17:18:41 - mmengine - INFO - Epoch(train) [88][3360/3757] lr: 1.000e-04 eta: 3:27:57 time: 0.246 data_time: 0.038 memory: 6404 grad_norm: 8.2263 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3819 loss: 1.3819 2022/06/30 17:18:47 - mmengine - INFO - Epoch(train) [88][3380/3757] lr: 1.000e-04 eta: 3:27:52 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 8.8943 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8320 loss: 0.8320 2022/06/30 17:18:53 - mmengine - INFO - Epoch(train) [88][3400/3757] lr: 1.000e-04 eta: 3:27:46 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.9734 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9479 loss: 0.9479 2022/06/30 17:18:58 - mmengine - INFO - Epoch(train) [88][3420/3757] lr: 1.000e-04 eta: 3:27:41 time: 0.253 data_time: 0.020 memory: 6404 grad_norm: 7.8367 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9652 loss: 0.9652 2022/06/30 17:19:04 - mmengine - INFO - Epoch(train) [88][3440/3757] lr: 1.000e-04 eta: 3:27:35 time: 0.269 data_time: 0.008 memory: 6404 grad_norm: 10.2462 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9362 loss: 0.9362 2022/06/30 17:19:09 - mmengine - INFO - Epoch(train) [88][3460/3757] lr: 1.000e-04 eta: 3:27:30 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 8.4289 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8975 loss: 0.8975 2022/06/30 17:19:15 - mmengine - INFO - Epoch(train) [88][3480/3757] lr: 1.000e-04 eta: 3:27:24 time: 0.250 data_time: 0.020 memory: 6404 grad_norm: 8.4147 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0463 loss: 1.0463 2022/06/30 17:19:21 - mmengine - INFO - Epoch(train) [88][3500/3757] lr: 1.000e-04 eta: 3:27:19 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 9.9978 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8326 loss: 0.8326 2022/06/30 17:19:26 - mmengine - INFO - Epoch(train) [88][3520/3757] lr: 1.000e-04 eta: 3:27:13 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 8.1524 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8562 loss: 0.8562 2022/06/30 17:19:32 - mmengine - INFO - Epoch(train) [88][3540/3757] lr: 1.000e-04 eta: 3:27:08 time: 0.274 data_time: 0.011 memory: 6404 grad_norm: 8.7012 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0102 loss: 1.0102 2022/06/30 17:19:37 - mmengine - INFO - Epoch(train) [88][3560/3757] lr: 1.000e-04 eta: 3:27:02 time: 0.247 data_time: 0.028 memory: 6404 grad_norm: 9.1515 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7213 loss: 0.7213 2022/06/30 17:19:43 - mmengine - INFO - Epoch(train) [88][3580/3757] lr: 1.000e-04 eta: 3:26:57 time: 0.271 data_time: 0.008 memory: 6404 grad_norm: 9.0013 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1994 loss: 1.1994 2022/06/30 17:19:48 - mmengine - INFO - Epoch(train) [88][3600/3757] lr: 1.000e-04 eta: 3:26:51 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 8.7556 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1136 loss: 1.1136 2022/06/30 17:19:54 - mmengine - INFO - Epoch(train) [88][3620/3757] lr: 1.000e-04 eta: 3:26:46 time: 0.250 data_time: 0.018 memory: 6404 grad_norm: 6.8258 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0657 loss: 1.0657 2022/06/30 17:19:59 - mmengine - INFO - Epoch(train) [88][3640/3757] lr: 1.000e-04 eta: 3:26:40 time: 0.276 data_time: 0.011 memory: 6404 grad_norm: 8.8649 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1292 loss: 1.1292 2022/06/30 17:20:05 - mmengine - INFO - Epoch(train) [88][3660/3757] lr: 1.000e-04 eta: 3:26:35 time: 0.251 data_time: 0.016 memory: 6404 grad_norm: 8.2509 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8714 loss: 0.8714 2022/06/30 17:20:11 - mmengine - INFO - Epoch(train) [88][3680/3757] lr: 1.000e-04 eta: 3:26:30 time: 0.271 data_time: 0.009 memory: 6404 grad_norm: 7.7055 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7975 loss: 0.7975 2022/06/30 17:20:17 - mmengine - INFO - Epoch(train) [88][3700/3757] lr: 1.000e-04 eta: 3:26:24 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 9.2840 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9722 loss: 0.9722 2022/06/30 17:20:23 - mmengine - INFO - Epoch(train) [88][3720/3757] lr: 1.000e-04 eta: 3:26:19 time: 0.247 data_time: 0.016 memory: 6404 grad_norm: 7.9078 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8160 loss: 0.8160 2022/06/30 17:20:28 - mmengine - INFO - Epoch(train) [88][3740/3757] lr: 1.000e-04 eta: 3:26:13 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 10.3935 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9024 loss: 0.9024 2022/06/30 17:20:32 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 17:20:40 - mmengine - INFO - Epoch(val) [88][20/310] eta: 0:01:34 time: 0.088 data_time: 0.007 memory: 6404 2022/06/30 17:20:47 - mmengine - INFO - Epoch(val) [88][40/310] eta: 0:01:36 time: 0.090 data_time: 0.006 memory: 1479 2022/06/30 17:20:51 - mmengine - INFO - Epoch(val) [88][60/310] eta: 0:01:01 time: 0.077 data_time: 0.005 memory: 1479 2022/06/30 17:20:56 - mmengine - INFO - Epoch(val) [88][80/310] eta: 0:01:04 time: 0.077 data_time: 0.006 memory: 1479 2022/06/30 17:21:02 - mmengine - INFO - Epoch(val) [88][100/310] eta: 0:00:58 time: 0.088 data_time: 0.006 memory: 1479 2022/06/30 17:21:06 - mmengine - INFO - Epoch(val) [88][120/310] eta: 0:00:30 time: 0.077 data_time: 0.006 memory: 1479 2022/06/30 17:21:11 - mmengine - INFO - Epoch(val) [88][140/310] eta: 0:00:46 time: 0.080 data_time: 0.007 memory: 1479 2022/06/30 17:21:17 - mmengine - INFO - Epoch(val) [88][160/310] eta: 0:00:47 time: 0.097 data_time: 0.009 memory: 1479 2022/06/30 17:21:21 - mmengine - INFO - Epoch(val) [88][180/310] eta: 0:00:26 time: 0.080 data_time: 0.006 memory: 1479 2022/06/30 17:21:27 - mmengine - INFO - Epoch(val) [88][200/310] eta: 0:00:32 time: 0.090 data_time: 0.007 memory: 1479 2022/06/30 17:21:34 - mmengine - INFO - Epoch(val) [88][220/310] eta: 0:00:28 time: 0.089 data_time: 0.006 memory: 1479 2022/06/30 17:21:38 - mmengine - INFO - Epoch(val) [88][240/310] eta: 0:00:20 time: 0.084 data_time: 0.008 memory: 1479 2022/06/30 17:21:44 - mmengine - INFO - Epoch(val) [88][260/310] eta: 0:00:16 time: 0.078 data_time: 0.007 memory: 1479 2022/06/30 17:21:50 - mmengine - INFO - Epoch(val) [88][280/310] eta: 0:00:09 time: 0.090 data_time: 0.006 memory: 1479 2022/06/30 17:21:53 - mmengine - INFO - Epoch(val) [88][300/310] eta: 0:00:02 time: 0.080 data_time: 0.005 memory: 1479 2022/06/30 17:21:58 - mmengine - INFO - Epoch(val) [88][310/310] acc/top1: 0.6770 acc/top5: 0.8714 acc/mean1: 0.6769 2022/06/30 17:22:07 - mmengine - INFO - Epoch(train) [89][20/3757] lr: 1.000e-04 eta: 3:26:03 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 9.7948 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0443 loss: 1.0443 2022/06/30 17:22:13 - mmengine - INFO - Epoch(train) [89][40/3757] lr: 1.000e-04 eta: 3:25:58 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 7.4109 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9265 loss: 0.9265 2022/06/30 17:22:18 - mmengine - INFO - Epoch(train) [89][60/3757] lr: 1.000e-04 eta: 3:25:52 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 8.8089 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8196 loss: 0.8196 2022/06/30 17:22:24 - mmengine - INFO - Epoch(train) [89][80/3757] lr: 1.000e-04 eta: 3:25:47 time: 0.270 data_time: 0.009 memory: 6404 grad_norm: 8.4894 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8020 loss: 0.8020 2022/06/30 17:22:30 - mmengine - INFO - Epoch(train) [89][100/3757] lr: 1.000e-04 eta: 3:25:41 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 10.1132 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0045 loss: 1.0045 2022/06/30 17:22:35 - mmengine - INFO - Epoch(train) [89][120/3757] lr: 1.000e-04 eta: 3:25:36 time: 0.278 data_time: 0.007 memory: 6404 grad_norm: 10.7352 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7709 loss: 0.7709 2022/06/30 17:22:41 - mmengine - INFO - Epoch(train) [89][140/3757] lr: 1.000e-04 eta: 3:25:30 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 9.8964 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8109 loss: 0.8109 2022/06/30 17:22:46 - mmengine - INFO - Epoch(train) [89][160/3757] lr: 1.000e-04 eta: 3:25:25 time: 0.263 data_time: 0.009 memory: 6404 grad_norm: 9.1971 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0369 loss: 1.0369 2022/06/30 17:22:51 - mmengine - INFO - Epoch(train) [89][180/3757] lr: 1.000e-04 eta: 3:25:19 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 9.7608 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1811 loss: 1.1811 2022/06/30 17:22:58 - mmengine - INFO - Epoch(train) [89][200/3757] lr: 1.000e-04 eta: 3:25:14 time: 0.273 data_time: 0.007 memory: 6404 grad_norm: 10.8997 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0160 loss: 1.0160 2022/06/30 17:23:04 - mmengine - INFO - Epoch(train) [89][220/3757] lr: 1.000e-04 eta: 3:25:09 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 10.1298 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0848 loss: 1.0848 2022/06/30 17:23:11 - mmengine - INFO - Epoch(train) [89][240/3757] lr: 1.000e-04 eta: 3:25:03 time: 0.239 data_time: 0.030 memory: 6404 grad_norm: 9.3097 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0218 loss: 1.0218 2022/06/30 17:23:18 - mmengine - INFO - Epoch(train) [89][260/3757] lr: 1.000e-04 eta: 3:24:58 time: 0.248 data_time: 0.013 memory: 6404 grad_norm: 8.8020 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8980 loss: 0.8980 2022/06/30 17:23:25 - mmengine - INFO - Epoch(train) [89][280/3757] lr: 1.000e-04 eta: 3:24:53 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 8.5605 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7524 loss: 0.7524 2022/06/30 17:23:30 - mmengine - INFO - Epoch(train) [89][300/3757] lr: 1.000e-04 eta: 3:24:47 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 7.0639 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3244 loss: 1.3244 2022/06/30 17:23:35 - mmengine - INFO - Epoch(train) [89][320/3757] lr: 1.000e-04 eta: 3:24:42 time: 0.318 data_time: 0.012 memory: 6404 grad_norm: 8.9555 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3580 loss: 1.3580 2022/06/30 17:23:40 - mmengine - INFO - Epoch(train) [89][340/3757] lr: 1.000e-04 eta: 3:24:36 time: 0.257 data_time: 0.038 memory: 6404 grad_norm: 8.8792 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1661 loss: 1.1661 2022/06/30 17:23:47 - mmengine - INFO - Epoch(train) [89][360/3757] lr: 1.000e-04 eta: 3:24:31 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 8.3421 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1233 loss: 1.1233 2022/06/30 17:23:52 - mmengine - INFO - Epoch(train) [89][380/3757] lr: 1.000e-04 eta: 3:24:25 time: 0.359 data_time: 0.016 memory: 6404 grad_norm: 8.7295 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0024 loss: 1.0024 2022/06/30 17:23:53 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 17:23:57 - mmengine - INFO - Epoch(train) [89][400/3757] lr: 1.000e-04 eta: 3:24:20 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 10.4333 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8942 loss: 0.8942 2022/06/30 17:24:04 - mmengine - INFO - Epoch(train) [89][420/3757] lr: 1.000e-04 eta: 3:24:14 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.2529 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8868 loss: 0.8868 2022/06/30 17:24:09 - mmengine - INFO - Epoch(train) [89][440/3757] lr: 1.000e-04 eta: 3:24:09 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 8.9818 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1238 loss: 1.1238 2022/06/30 17:24:14 - mmengine - INFO - Epoch(train) [89][460/3757] lr: 1.000e-04 eta: 3:24:03 time: 0.265 data_time: 0.010 memory: 6404 grad_norm: 10.3501 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9340 loss: 0.9340 2022/06/30 17:24:19 - mmengine - INFO - Epoch(train) [89][480/3757] lr: 1.000e-04 eta: 3:23:58 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 9.0490 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7800 loss: 0.7800 2022/06/30 17:24:25 - mmengine - INFO - Epoch(train) [89][500/3757] lr: 1.000e-04 eta: 3:23:52 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 8.5620 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9664 loss: 0.9664 2022/06/30 17:24:30 - mmengine - INFO - Epoch(train) [89][520/3757] lr: 1.000e-04 eta: 3:23:47 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 9.3950 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0413 loss: 1.0413 2022/06/30 17:24:39 - mmengine - INFO - Epoch(train) [89][540/3757] lr: 1.000e-04 eta: 3:23:42 time: 0.249 data_time: 0.006 memory: 6404 grad_norm: 10.9048 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9965 loss: 0.9965 2022/06/30 17:24:44 - mmengine - INFO - Epoch(train) [89][560/3757] lr: 1.000e-04 eta: 3:23:36 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 10.0635 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8215 loss: 0.8215 2022/06/30 17:24:49 - mmengine - INFO - Epoch(train) [89][580/3757] lr: 1.000e-04 eta: 3:23:31 time: 0.283 data_time: 0.013 memory: 6404 grad_norm: 8.6113 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0955 loss: 1.0955 2022/06/30 17:24:55 - mmengine - INFO - Epoch(train) [89][600/3757] lr: 1.000e-04 eta: 3:23:25 time: 0.263 data_time: 0.014 memory: 6404 grad_norm: 8.2704 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7895 loss: 0.7895 2022/06/30 17:25:00 - mmengine - INFO - Epoch(train) [89][620/3757] lr: 1.000e-04 eta: 3:23:20 time: 0.239 data_time: 0.011 memory: 6404 grad_norm: 10.9140 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9876 loss: 0.9876 2022/06/30 17:25:05 - mmengine - INFO - Epoch(train) [89][640/3757] lr: 1.000e-04 eta: 3:23:14 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 9.5474 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3943 loss: 1.3943 2022/06/30 17:25:11 - mmengine - INFO - Epoch(train) [89][660/3757] lr: 1.000e-04 eta: 3:23:09 time: 0.243 data_time: 0.015 memory: 6404 grad_norm: 7.7194 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8107 loss: 0.8107 2022/06/30 17:25:17 - mmengine - INFO - Epoch(train) [89][680/3757] lr: 1.000e-04 eta: 3:23:03 time: 0.261 data_time: 0.009 memory: 6404 grad_norm: 9.1164 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0576 loss: 1.0576 2022/06/30 17:25:22 - mmengine - INFO - Epoch(train) [89][700/3757] lr: 1.000e-04 eta: 3:22:58 time: 0.259 data_time: 0.014 memory: 6404 grad_norm: 10.0787 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1970 loss: 1.1970 2022/06/30 17:25:28 - mmengine - INFO - Epoch(train) [89][720/3757] lr: 1.000e-04 eta: 3:22:52 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 8.8003 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1517 loss: 1.1517 2022/06/30 17:25:34 - mmengine - INFO - Epoch(train) [89][740/3757] lr: 1.000e-04 eta: 3:22:47 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 7.2296 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3031 loss: 1.3031 2022/06/30 17:25:39 - mmengine - INFO - Epoch(train) [89][760/3757] lr: 1.000e-04 eta: 3:22:41 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 8.6191 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9098 loss: 0.9098 2022/06/30 17:25:44 - mmengine - INFO - Epoch(train) [89][780/3757] lr: 1.000e-04 eta: 3:22:36 time: 0.258 data_time: 0.013 memory: 6404 grad_norm: 10.5370 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9267 loss: 0.9267 2022/06/30 17:25:50 - mmengine - INFO - Epoch(train) [89][800/3757] lr: 1.000e-04 eta: 3:22:30 time: 0.261 data_time: 0.012 memory: 6404 grad_norm: 6.7100 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7556 loss: 0.7556 2022/06/30 17:25:56 - mmengine - INFO - Epoch(train) [89][820/3757] lr: 1.000e-04 eta: 3:22:25 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 8.5370 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4042 loss: 1.4042 2022/06/30 17:26:01 - mmengine - INFO - Epoch(train) [89][840/3757] lr: 1.000e-04 eta: 3:22:19 time: 0.253 data_time: 0.016 memory: 6404 grad_norm: 9.3141 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7921 loss: 0.7921 2022/06/30 17:26:06 - mmengine - INFO - Epoch(train) [89][860/3757] lr: 1.000e-04 eta: 3:22:14 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 10.3431 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3995 loss: 1.3995 2022/06/30 17:26:11 - mmengine - INFO - Epoch(train) [89][880/3757] lr: 1.000e-04 eta: 3:22:08 time: 0.260 data_time: 0.012 memory: 6404 grad_norm: 8.8159 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1742 loss: 1.1742 2022/06/30 17:26:17 - mmengine - INFO - Epoch(train) [89][900/3757] lr: 1.000e-04 eta: 3:22:03 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 8.3241 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0966 loss: 1.0966 2022/06/30 17:26:22 - mmengine - INFO - Epoch(train) [89][920/3757] lr: 1.000e-04 eta: 3:21:57 time: 0.303 data_time: 0.008 memory: 6404 grad_norm: 9.6685 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2233 loss: 1.2233 2022/06/30 17:26:27 - mmengine - INFO - Epoch(train) [89][940/3757] lr: 1.000e-04 eta: 3:21:52 time: 0.263 data_time: 0.009 memory: 6404 grad_norm: 8.5346 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1679 loss: 1.1679 2022/06/30 17:26:34 - mmengine - INFO - Epoch(train) [89][960/3757] lr: 1.000e-04 eta: 3:21:46 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 10.8017 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0344 loss: 1.0344 2022/06/30 17:26:40 - mmengine - INFO - Epoch(train) [89][980/3757] lr: 1.000e-04 eta: 3:21:41 time: 0.279 data_time: 0.010 memory: 6404 grad_norm: 12.3888 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8552 loss: 0.8552 2022/06/30 17:26:45 - mmengine - INFO - Epoch(train) [89][1000/3757] lr: 1.000e-04 eta: 3:21:35 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 8.8896 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9579 loss: 0.9579 2022/06/30 17:26:50 - mmengine - INFO - Epoch(train) [89][1020/3757] lr: 1.000e-04 eta: 3:21:30 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 8.3676 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8835 loss: 0.8835 2022/06/30 17:26:56 - mmengine - INFO - Epoch(train) [89][1040/3757] lr: 1.000e-04 eta: 3:21:24 time: 0.242 data_time: 0.013 memory: 6404 grad_norm: 9.2703 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.6797 loss: 0.6797 2022/06/30 17:27:02 - mmengine - INFO - Epoch(train) [89][1060/3757] lr: 1.000e-04 eta: 3:21:19 time: 0.276 data_time: 0.014 memory: 6404 grad_norm: 9.0946 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0261 loss: 1.0261 2022/06/30 17:27:07 - mmengine - INFO - Epoch(train) [89][1080/3757] lr: 1.000e-04 eta: 3:21:13 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 9.6405 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8885 loss: 0.8885 2022/06/30 17:27:12 - mmengine - INFO - Epoch(train) [89][1100/3757] lr: 1.000e-04 eta: 3:21:08 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 9.5802 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2260 loss: 1.2260 2022/06/30 17:27:18 - mmengine - INFO - Epoch(train) [89][1120/3757] lr: 1.000e-04 eta: 3:21:02 time: 0.236 data_time: 0.010 memory: 6404 grad_norm: 9.5001 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7758 loss: 0.7758 2022/06/30 17:27:23 - mmengine - INFO - Epoch(train) [89][1140/3757] lr: 1.000e-04 eta: 3:20:57 time: 0.242 data_time: 0.007 memory: 6404 grad_norm: 10.3995 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9548 loss: 0.9548 2022/06/30 17:27:28 - mmengine - INFO - Epoch(train) [89][1160/3757] lr: 1.000e-04 eta: 3:20:51 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 9.6014 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1617 loss: 1.1617 2022/06/30 17:27:34 - mmengine - INFO - Epoch(train) [89][1180/3757] lr: 1.000e-04 eta: 3:20:46 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 8.6932 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8918 loss: 0.8918 2022/06/30 17:27:39 - mmengine - INFO - Epoch(train) [89][1200/3757] lr: 1.000e-04 eta: 3:20:40 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 6.5136 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0413 loss: 1.0413 2022/06/30 17:27:45 - mmengine - INFO - Epoch(train) [89][1220/3757] lr: 1.000e-04 eta: 3:20:35 time: 0.307 data_time: 0.008 memory: 6404 grad_norm: 9.2939 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0882 loss: 1.0882 2022/06/30 17:27:51 - mmengine - INFO - Epoch(train) [89][1240/3757] lr: 1.000e-04 eta: 3:20:29 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 9.0409 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7742 loss: 0.7742 2022/06/30 17:27:56 - mmengine - INFO - Epoch(train) [89][1260/3757] lr: 1.000e-04 eta: 3:20:24 time: 0.252 data_time: 0.015 memory: 6404 grad_norm: 8.7518 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7651 loss: 0.7651 2022/06/30 17:28:02 - mmengine - INFO - Epoch(train) [89][1280/3757] lr: 1.000e-04 eta: 3:20:19 time: 0.286 data_time: 0.009 memory: 6404 grad_norm: 8.6299 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2483 loss: 1.2483 2022/06/30 17:28:07 - mmengine - INFO - Epoch(train) [89][1300/3757] lr: 1.000e-04 eta: 3:20:13 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 10.2799 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1144 loss: 1.1144 2022/06/30 17:28:13 - mmengine - INFO - Epoch(train) [89][1320/3757] lr: 1.000e-04 eta: 3:20:08 time: 0.272 data_time: 0.041 memory: 6404 grad_norm: 9.0340 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0675 loss: 1.0675 2022/06/30 17:28:19 - mmengine - INFO - Epoch(train) [89][1340/3757] lr: 1.000e-04 eta: 3:20:02 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 9.5514 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7325 loss: 0.7325 2022/06/30 17:28:24 - mmengine - INFO - Epoch(train) [89][1360/3757] lr: 1.000e-04 eta: 3:19:57 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 7.1386 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9573 loss: 0.9573 2022/06/30 17:28:30 - mmengine - INFO - Epoch(train) [89][1380/3757] lr: 1.000e-04 eta: 3:19:51 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 8.8102 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0454 loss: 1.0454 2022/06/30 17:28:31 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 17:28:36 - mmengine - INFO - Epoch(train) [89][1400/3757] lr: 1.000e-04 eta: 3:19:46 time: 0.291 data_time: 0.008 memory: 6404 grad_norm: 8.7268 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8490 loss: 0.8490 2022/06/30 17:28:41 - mmengine - INFO - Epoch(train) [89][1420/3757] lr: 1.000e-04 eta: 3:19:40 time: 0.265 data_time: 0.012 memory: 6404 grad_norm: 9.7991 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0391 loss: 1.0391 2022/06/30 17:28:47 - mmengine - INFO - Epoch(train) [89][1440/3757] lr: 1.000e-04 eta: 3:19:35 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.9363 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9149 loss: 0.9149 2022/06/30 17:28:52 - mmengine - INFO - Epoch(train) [89][1460/3757] lr: 1.000e-04 eta: 3:19:29 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 9.1898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9092 loss: 0.9092 2022/06/30 17:28:57 - mmengine - INFO - Epoch(train) [89][1480/3757] lr: 1.000e-04 eta: 3:19:24 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 10.0418 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4006 loss: 1.4006 2022/06/30 17:29:03 - mmengine - INFO - Epoch(train) [89][1500/3757] lr: 1.000e-04 eta: 3:19:18 time: 0.397 data_time: 0.011 memory: 6404 grad_norm: 7.7782 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9566 loss: 0.9566 2022/06/30 17:29:08 - mmengine - INFO - Epoch(train) [89][1520/3757] lr: 1.000e-04 eta: 3:19:13 time: 0.252 data_time: 0.024 memory: 6404 grad_norm: 8.9054 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1056 loss: 1.1056 2022/06/30 17:29:14 - mmengine - INFO - Epoch(train) [89][1540/3757] lr: 1.000e-04 eta: 3:19:07 time: 0.260 data_time: 0.030 memory: 6404 grad_norm: 11.3739 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0508 loss: 1.0508 2022/06/30 17:29:19 - mmengine - INFO - Epoch(train) [89][1560/3757] lr: 1.000e-04 eta: 3:19:02 time: 0.262 data_time: 0.010 memory: 6404 grad_norm: 9.3228 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1241 loss: 1.1241 2022/06/30 17:29:24 - mmengine - INFO - Epoch(train) [89][1580/3757] lr: 1.000e-04 eta: 3:18:56 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 9.7116 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7046 loss: 0.7046 2022/06/30 17:29:30 - mmengine - INFO - Epoch(train) [89][1600/3757] lr: 1.000e-04 eta: 3:18:51 time: 0.274 data_time: 0.014 memory: 6404 grad_norm: 7.6355 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3228 loss: 1.3228 2022/06/30 17:29:35 - mmengine - INFO - Epoch(train) [89][1620/3757] lr: 1.000e-04 eta: 3:18:45 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 9.1825 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9662 loss: 0.9662 2022/06/30 17:29:41 - mmengine - INFO - Epoch(train) [89][1640/3757] lr: 1.000e-04 eta: 3:18:40 time: 0.251 data_time: 0.015 memory: 6404 grad_norm: 8.0402 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8914 loss: 0.8914 2022/06/30 17:29:47 - mmengine - INFO - Epoch(train) [89][1660/3757] lr: 1.000e-04 eta: 3:18:34 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 9.8480 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9754 loss: 0.9754 2022/06/30 17:29:52 - mmengine - INFO - Epoch(train) [89][1680/3757] lr: 1.000e-04 eta: 3:18:29 time: 0.259 data_time: 0.006 memory: 6404 grad_norm: 7.5968 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2228 loss: 1.2228 2022/06/30 17:29:57 - mmengine - INFO - Epoch(train) [89][1700/3757] lr: 1.000e-04 eta: 3:18:23 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 7.9665 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2676 loss: 1.2676 2022/06/30 17:30:03 - mmengine - INFO - Epoch(train) [89][1720/3757] lr: 1.000e-04 eta: 3:18:18 time: 0.263 data_time: 0.012 memory: 6404 grad_norm: 7.0801 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1794 loss: 1.1794 2022/06/30 17:30:09 - mmengine - INFO - Epoch(train) [89][1740/3757] lr: 1.000e-04 eta: 3:18:12 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.0807 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0881 loss: 1.0881 2022/06/30 17:30:15 - mmengine - INFO - Epoch(train) [89][1760/3757] lr: 1.000e-04 eta: 3:18:07 time: 0.529 data_time: 0.009 memory: 6404 grad_norm: 10.1047 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8888 loss: 0.8888 2022/06/30 17:30:20 - mmengine - INFO - Epoch(train) [89][1780/3757] lr: 1.000e-04 eta: 3:18:01 time: 0.245 data_time: 0.010 memory: 6404 grad_norm: 9.7031 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0847 loss: 1.0847 2022/06/30 17:30:26 - mmengine - INFO - Epoch(train) [89][1800/3757] lr: 1.000e-04 eta: 3:17:56 time: 0.246 data_time: 0.019 memory: 6404 grad_norm: 9.8063 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0058 loss: 1.0058 2022/06/30 17:30:31 - mmengine - INFO - Epoch(train) [89][1820/3757] lr: 1.000e-04 eta: 3:17:50 time: 0.260 data_time: 0.009 memory: 6404 grad_norm: 8.8083 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7088 loss: 0.7088 2022/06/30 17:30:37 - mmengine - INFO - Epoch(train) [89][1840/3757] lr: 1.000e-04 eta: 3:17:45 time: 0.258 data_time: 0.015 memory: 6404 grad_norm: 7.8546 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8956 loss: 0.8956 2022/06/30 17:30:42 - mmengine - INFO - Epoch(train) [89][1860/3757] lr: 1.000e-04 eta: 3:17:39 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 8.6673 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1255 loss: 1.1255 2022/06/30 17:30:48 - mmengine - INFO - Epoch(train) [89][1880/3757] lr: 1.000e-04 eta: 3:17:34 time: 0.255 data_time: 0.014 memory: 6404 grad_norm: 9.3160 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9587 loss: 0.9587 2022/06/30 17:30:53 - mmengine - INFO - Epoch(train) [89][1900/3757] lr: 1.000e-04 eta: 3:17:28 time: 0.274 data_time: 0.007 memory: 6404 grad_norm: 8.5915 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8247 loss: 0.8247 2022/06/30 17:30:59 - mmengine - INFO - Epoch(train) [89][1920/3757] lr: 1.000e-04 eta: 3:17:23 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 11.2667 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0978 loss: 1.0978 2022/06/30 17:31:05 - mmengine - INFO - Epoch(train) [89][1940/3757] lr: 1.000e-04 eta: 3:17:18 time: 0.258 data_time: 0.017 memory: 6404 grad_norm: 8.5159 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0305 loss: 1.0305 2022/06/30 17:31:10 - mmengine - INFO - Epoch(train) [89][1960/3757] lr: 1.000e-04 eta: 3:17:12 time: 0.259 data_time: 0.018 memory: 6404 grad_norm: 7.9111 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6471 loss: 0.6471 2022/06/30 17:31:16 - mmengine - INFO - Epoch(train) [89][1980/3757] lr: 1.000e-04 eta: 3:17:07 time: 0.260 data_time: 0.017 memory: 6404 grad_norm: 8.9209 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1335 loss: 1.1335 2022/06/30 17:31:21 - mmengine - INFO - Epoch(train) [89][2000/3757] lr: 1.000e-04 eta: 3:17:01 time: 0.293 data_time: 0.008 memory: 6404 grad_norm: 10.6071 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0571 loss: 1.0571 2022/06/30 17:31:26 - mmengine - INFO - Epoch(train) [89][2020/3757] lr: 1.000e-04 eta: 3:16:56 time: 0.261 data_time: 0.011 memory: 6404 grad_norm: 9.1147 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8457 loss: 0.8457 2022/06/30 17:31:32 - mmengine - INFO - Epoch(train) [89][2040/3757] lr: 1.000e-04 eta: 3:16:50 time: 0.256 data_time: 0.018 memory: 6404 grad_norm: 8.3335 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7835 loss: 0.7835 2022/06/30 17:31:37 - mmengine - INFO - Epoch(train) [89][2060/3757] lr: 1.000e-04 eta: 3:16:45 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 7.8964 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1190 loss: 1.1190 2022/06/30 17:31:43 - mmengine - INFO - Epoch(train) [89][2080/3757] lr: 1.000e-04 eta: 3:16:39 time: 0.391 data_time: 0.007 memory: 6404 grad_norm: 9.5151 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2441 loss: 1.2441 2022/06/30 17:31:49 - mmengine - INFO - Epoch(train) [89][2100/3757] lr: 1.000e-04 eta: 3:16:34 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 10.8724 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2600 loss: 1.2600 2022/06/30 17:31:54 - mmengine - INFO - Epoch(train) [89][2120/3757] lr: 1.000e-04 eta: 3:16:28 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 10.9509 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9008 loss: 0.9008 2022/06/30 17:32:01 - mmengine - INFO - Epoch(train) [89][2140/3757] lr: 1.000e-04 eta: 3:16:23 time: 0.261 data_time: 0.062 memory: 6404 grad_norm: 9.4418 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0925 loss: 1.0925 2022/06/30 17:32:07 - mmengine - INFO - Epoch(train) [89][2160/3757] lr: 1.000e-04 eta: 3:16:17 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 8.6929 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9450 loss: 0.9450 2022/06/30 17:32:12 - mmengine - INFO - Epoch(train) [89][2180/3757] lr: 1.000e-04 eta: 3:16:12 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 8.7259 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0958 loss: 1.0958 2022/06/30 17:32:17 - mmengine - INFO - Epoch(train) [89][2200/3757] lr: 1.000e-04 eta: 3:16:06 time: 0.261 data_time: 0.011 memory: 6404 grad_norm: 9.9487 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1561 loss: 1.1561 2022/06/30 17:32:23 - mmengine - INFO - Epoch(train) [89][2220/3757] lr: 1.000e-04 eta: 3:16:01 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 9.2026 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0763 loss: 1.0763 2022/06/30 17:32:28 - mmengine - INFO - Epoch(train) [89][2240/3757] lr: 1.000e-04 eta: 3:15:55 time: 0.252 data_time: 0.018 memory: 6404 grad_norm: 7.3542 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0539 loss: 1.0539 2022/06/30 17:32:34 - mmengine - INFO - Epoch(train) [89][2260/3757] lr: 1.000e-04 eta: 3:15:50 time: 0.268 data_time: 0.010 memory: 6404 grad_norm: 7.7140 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9940 loss: 0.9940 2022/06/30 17:32:39 - mmengine - INFO - Epoch(train) [89][2280/3757] lr: 1.000e-04 eta: 3:15:44 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 8.6430 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1783 loss: 1.1783 2022/06/30 17:32:44 - mmengine - INFO - Epoch(train) [89][2300/3757] lr: 1.000e-04 eta: 3:15:39 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 10.2314 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2044 loss: 1.2044 2022/06/30 17:32:49 - mmengine - INFO - Epoch(train) [89][2320/3757] lr: 1.000e-04 eta: 3:15:33 time: 0.246 data_time: 0.021 memory: 6404 grad_norm: 8.3523 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9221 loss: 0.9221 2022/06/30 17:32:55 - mmengine - INFO - Epoch(train) [89][2340/3757] lr: 1.000e-04 eta: 3:15:28 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 8.3646 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7154 loss: 0.7154 2022/06/30 17:33:00 - mmengine - INFO - Epoch(train) [89][2360/3757] lr: 1.000e-04 eta: 3:15:22 time: 0.263 data_time: 0.008 memory: 6404 grad_norm: 9.9256 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9202 loss: 0.9202 2022/06/30 17:33:05 - mmengine - INFO - Epoch(train) [89][2380/3757] lr: 1.000e-04 eta: 3:15:17 time: 0.256 data_time: 0.027 memory: 6404 grad_norm: 8.9666 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8445 loss: 0.8445 2022/06/30 17:33:06 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 17:33:11 - mmengine - INFO - Epoch(train) [89][2400/3757] lr: 1.000e-04 eta: 3:15:11 time: 0.262 data_time: 0.015 memory: 6404 grad_norm: 9.6877 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8486 loss: 0.8486 2022/06/30 17:33:16 - mmengine - INFO - Epoch(train) [89][2420/3757] lr: 1.000e-04 eta: 3:15:06 time: 0.278 data_time: 0.009 memory: 6404 grad_norm: 8.0926 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0312 loss: 1.0312 2022/06/30 17:33:22 - mmengine - INFO - Epoch(train) [89][2440/3757] lr: 1.000e-04 eta: 3:15:00 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 10.7877 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8251 loss: 0.8251 2022/06/30 17:33:27 - mmengine - INFO - Epoch(train) [89][2460/3757] lr: 1.000e-04 eta: 3:14:55 time: 0.269 data_time: 0.013 memory: 6404 grad_norm: 10.5131 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1369 loss: 1.1369 2022/06/30 17:33:32 - mmengine - INFO - Epoch(train) [89][2480/3757] lr: 1.000e-04 eta: 3:14:49 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 9.6877 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1561 loss: 1.1561 2022/06/30 17:33:38 - mmengine - INFO - Epoch(train) [89][2500/3757] lr: 1.000e-04 eta: 3:14:44 time: 0.255 data_time: 0.015 memory: 6404 grad_norm: 8.1724 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8741 loss: 0.8741 2022/06/30 17:33:44 - mmengine - INFO - Epoch(train) [89][2520/3757] lr: 1.000e-04 eta: 3:14:38 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 7.4301 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2856 loss: 1.2856 2022/06/30 17:33:49 - mmengine - INFO - Epoch(train) [89][2540/3757] lr: 1.000e-04 eta: 3:14:33 time: 0.255 data_time: 0.012 memory: 6404 grad_norm: 10.6087 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0430 loss: 1.0430 2022/06/30 17:33:55 - mmengine - INFO - Epoch(train) [89][2560/3757] lr: 1.000e-04 eta: 3:14:27 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 8.0387 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0544 loss: 1.0544 2022/06/30 17:34:00 - mmengine - INFO - Epoch(train) [89][2580/3757] lr: 1.000e-04 eta: 3:14:22 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 10.6604 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3172 loss: 1.3172 2022/06/30 17:34:05 - mmengine - INFO - Epoch(train) [89][2600/3757] lr: 1.000e-04 eta: 3:14:16 time: 0.268 data_time: 0.012 memory: 6404 grad_norm: 9.1827 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2068 loss: 1.2068 2022/06/30 17:34:11 - mmengine - INFO - Epoch(train) [89][2620/3757] lr: 1.000e-04 eta: 3:14:11 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 9.2865 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6730 loss: 0.6730 2022/06/30 17:34:17 - mmengine - INFO - Epoch(train) [89][2640/3757] lr: 1.000e-04 eta: 3:14:05 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 10.0418 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0214 loss: 1.0214 2022/06/30 17:34:22 - mmengine - INFO - Epoch(train) [89][2660/3757] lr: 1.000e-04 eta: 3:14:00 time: 0.245 data_time: 0.012 memory: 6404 grad_norm: 8.1183 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0684 loss: 1.0684 2022/06/30 17:34:28 - mmengine - INFO - Epoch(train) [89][2680/3757] lr: 1.000e-04 eta: 3:13:54 time: 0.276 data_time: 0.008 memory: 6404 grad_norm: 9.7068 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2789 loss: 1.2789 2022/06/30 17:34:33 - mmengine - INFO - Epoch(train) [89][2700/3757] lr: 1.000e-04 eta: 3:13:49 time: 0.440 data_time: 0.007 memory: 6404 grad_norm: 9.3225 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7686 loss: 0.7686 2022/06/30 17:34:39 - mmengine - INFO - Epoch(train) [89][2720/3757] lr: 1.000e-04 eta: 3:13:43 time: 0.279 data_time: 0.007 memory: 6404 grad_norm: 10.1396 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0153 loss: 1.0153 2022/06/30 17:34:44 - mmengine - INFO - Epoch(train) [89][2740/3757] lr: 1.000e-04 eta: 3:13:38 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 9.7735 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1407 loss: 1.1407 2022/06/30 17:34:49 - mmengine - INFO - Epoch(train) [89][2760/3757] lr: 1.000e-04 eta: 3:13:32 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 9.2799 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3083 loss: 1.3083 2022/06/30 17:34:55 - mmengine - INFO - Epoch(train) [89][2780/3757] lr: 1.000e-04 eta: 3:13:27 time: 0.253 data_time: 0.057 memory: 6404 grad_norm: 9.3345 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8029 loss: 0.8029 2022/06/30 17:35:01 - mmengine - INFO - Epoch(train) [89][2800/3757] lr: 1.000e-04 eta: 3:13:21 time: 0.306 data_time: 0.008 memory: 6404 grad_norm: 9.1055 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0952 loss: 1.0952 2022/06/30 17:35:06 - mmengine - INFO - Epoch(train) [89][2820/3757] lr: 1.000e-04 eta: 3:13:16 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 7.2499 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1042 loss: 1.1042 2022/06/30 17:35:11 - mmengine - INFO - Epoch(train) [89][2840/3757] lr: 1.000e-04 eta: 3:13:10 time: 0.254 data_time: 0.026 memory: 6404 grad_norm: 7.4144 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8193 loss: 0.8193 2022/06/30 17:35:17 - mmengine - INFO - Epoch(train) [89][2860/3757] lr: 1.000e-04 eta: 3:13:05 time: 0.272 data_time: 0.061 memory: 6404 grad_norm: 8.5476 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2898 loss: 1.2898 2022/06/30 17:35:23 - mmengine - INFO - Epoch(train) [89][2880/3757] lr: 1.000e-04 eta: 3:13:00 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 10.2410 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9124 loss: 0.9124 2022/06/30 17:35:28 - mmengine - INFO - Epoch(train) [89][2900/3757] lr: 1.000e-04 eta: 3:12:54 time: 0.244 data_time: 0.023 memory: 6404 grad_norm: 9.1637 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0480 loss: 1.0480 2022/06/30 17:35:33 - mmengine - INFO - Epoch(train) [89][2920/3757] lr: 1.000e-04 eta: 3:12:48 time: 0.266 data_time: 0.015 memory: 6404 grad_norm: 10.1558 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3111 loss: 1.3111 2022/06/30 17:35:39 - mmengine - INFO - Epoch(train) [89][2940/3757] lr: 1.000e-04 eta: 3:12:43 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 9.1619 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3156 loss: 1.3156 2022/06/30 17:35:44 - mmengine - INFO - Epoch(train) [89][2960/3757] lr: 1.000e-04 eta: 3:12:37 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 10.1215 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1719 loss: 1.1719 2022/06/30 17:35:49 - mmengine - INFO - Epoch(train) [89][2980/3757] lr: 1.000e-04 eta: 3:12:32 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 10.3475 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2036 loss: 1.2036 2022/06/30 17:35:55 - mmengine - INFO - Epoch(train) [89][3000/3757] lr: 1.000e-04 eta: 3:12:27 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 8.8190 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8951 loss: 0.8951 2022/06/30 17:36:01 - mmengine - INFO - Epoch(train) [89][3020/3757] lr: 1.000e-04 eta: 3:12:21 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 7.8779 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9969 loss: 0.9969 2022/06/30 17:36:06 - mmengine - INFO - Epoch(train) [89][3040/3757] lr: 1.000e-04 eta: 3:12:16 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.3401 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7991 loss: 0.7991 2022/06/30 17:36:12 - mmengine - INFO - Epoch(train) [89][3060/3757] lr: 1.000e-04 eta: 3:12:10 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 8.1549 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0723 loss: 1.0723 2022/06/30 17:36:17 - mmengine - INFO - Epoch(train) [89][3080/3757] lr: 1.000e-04 eta: 3:12:05 time: 0.294 data_time: 0.018 memory: 6404 grad_norm: 9.3570 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9924 loss: 0.9924 2022/06/30 17:36:22 - mmengine - INFO - Epoch(train) [89][3100/3757] lr: 1.000e-04 eta: 3:11:59 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.9787 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2684 loss: 1.2684 2022/06/30 17:36:28 - mmengine - INFO - Epoch(train) [89][3120/3757] lr: 1.000e-04 eta: 3:11:54 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 9.4008 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8328 loss: 0.8328 2022/06/30 17:36:33 - mmengine - INFO - Epoch(train) [89][3140/3757] lr: 1.000e-04 eta: 3:11:48 time: 0.383 data_time: 0.020 memory: 6404 grad_norm: 8.0546 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9678 loss: 0.9678 2022/06/30 17:36:39 - mmengine - INFO - Epoch(train) [89][3160/3757] lr: 1.000e-04 eta: 3:11:43 time: 0.349 data_time: 0.009 memory: 6404 grad_norm: 8.9669 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0542 loss: 1.0542 2022/06/30 17:36:44 - mmengine - INFO - Epoch(train) [89][3180/3757] lr: 1.000e-04 eta: 3:11:37 time: 0.261 data_time: 0.045 memory: 6404 grad_norm: 9.4324 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1760 loss: 1.1760 2022/06/30 17:36:50 - mmengine - INFO - Epoch(train) [89][3200/3757] lr: 1.000e-04 eta: 3:11:32 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 7.4232 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9053 loss: 0.9053 2022/06/30 17:36:56 - mmengine - INFO - Epoch(train) [89][3220/3757] lr: 1.000e-04 eta: 3:11:26 time: 0.245 data_time: 0.012 memory: 6404 grad_norm: 9.4640 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0882 loss: 1.0882 2022/06/30 17:37:01 - mmengine - INFO - Epoch(train) [89][3240/3757] lr: 1.000e-04 eta: 3:11:21 time: 0.265 data_time: 0.017 memory: 6404 grad_norm: 10.3598 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3183 loss: 1.3183 2022/06/30 17:37:06 - mmengine - INFO - Epoch(train) [89][3260/3757] lr: 1.000e-04 eta: 3:11:15 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 8.6327 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1220 loss: 1.1220 2022/06/30 17:37:11 - mmengine - INFO - Epoch(train) [89][3280/3757] lr: 1.000e-04 eta: 3:11:10 time: 0.259 data_time: 0.022 memory: 6404 grad_norm: 9.1680 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9776 loss: 0.9776 2022/06/30 17:37:17 - mmengine - INFO - Epoch(train) [89][3300/3757] lr: 1.000e-04 eta: 3:11:04 time: 0.243 data_time: 0.006 memory: 6404 grad_norm: 9.5892 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4377 loss: 1.4377 2022/06/30 17:37:23 - mmengine - INFO - Epoch(train) [89][3320/3757] lr: 1.000e-04 eta: 3:10:59 time: 0.272 data_time: 0.008 memory: 6404 grad_norm: 7.9943 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0179 loss: 1.0179 2022/06/30 17:37:28 - mmengine - INFO - Epoch(train) [89][3340/3757] lr: 1.000e-04 eta: 3:10:53 time: 0.255 data_time: 0.015 memory: 6404 grad_norm: 8.4567 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1723 loss: 1.1723 2022/06/30 17:37:34 - mmengine - INFO - Epoch(train) [89][3360/3757] lr: 1.000e-04 eta: 3:10:48 time: 0.504 data_time: 0.007 memory: 6404 grad_norm: 8.8853 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1757 loss: 1.1757 2022/06/30 17:37:39 - mmengine - INFO - Epoch(train) [89][3380/3757] lr: 1.000e-04 eta: 3:10:42 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 8.9659 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1063 loss: 1.1063 2022/06/30 17:37:40 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 17:37:44 - mmengine - INFO - Epoch(train) [89][3400/3757] lr: 1.000e-04 eta: 3:10:37 time: 0.255 data_time: 0.020 memory: 6404 grad_norm: 8.7676 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7815 loss: 0.7815 2022/06/30 17:37:50 - mmengine - INFO - Epoch(train) [89][3420/3757] lr: 1.000e-04 eta: 3:10:31 time: 0.265 data_time: 0.011 memory: 6404 grad_norm: 9.9327 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8816 loss: 0.8816 2022/06/30 17:37:55 - mmengine - INFO - Epoch(train) [89][3440/3757] lr: 1.000e-04 eta: 3:10:26 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 9.0946 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9097 loss: 0.9097 2022/06/30 17:38:01 - mmengine - INFO - Epoch(train) [89][3460/3757] lr: 1.000e-04 eta: 3:10:20 time: 0.262 data_time: 0.021 memory: 6404 grad_norm: 7.9483 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0245 loss: 1.0245 2022/06/30 17:38:06 - mmengine - INFO - Epoch(train) [89][3480/3757] lr: 1.000e-04 eta: 3:10:15 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 10.7879 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3257 loss: 1.3257 2022/06/30 17:38:12 - mmengine - INFO - Epoch(train) [89][3500/3757] lr: 1.000e-04 eta: 3:10:09 time: 0.262 data_time: 0.018 memory: 6404 grad_norm: 9.3708 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9137 loss: 0.9137 2022/06/30 17:38:17 - mmengine - INFO - Epoch(train) [89][3520/3757] lr: 1.000e-04 eta: 3:10:04 time: 0.258 data_time: 0.018 memory: 6404 grad_norm: 8.2948 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9945 loss: 0.9945 2022/06/30 17:38:23 - mmengine - INFO - Epoch(train) [89][3540/3757] lr: 1.000e-04 eta: 3:09:58 time: 0.256 data_time: 0.013 memory: 6404 grad_norm: 9.6895 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0214 loss: 1.0214 2022/06/30 17:38:28 - mmengine - INFO - Epoch(train) [89][3560/3757] lr: 1.000e-04 eta: 3:09:53 time: 0.254 data_time: 0.015 memory: 6404 grad_norm: 8.9765 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6989 loss: 0.6989 2022/06/30 17:38:33 - mmengine - INFO - Epoch(train) [89][3580/3757] lr: 1.000e-04 eta: 3:09:47 time: 0.260 data_time: 0.015 memory: 6404 grad_norm: 9.2739 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8312 loss: 0.8312 2022/06/30 17:38:39 - mmengine - INFO - Epoch(train) [89][3600/3757] lr: 1.000e-04 eta: 3:09:42 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 10.2030 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1093 loss: 1.1093 2022/06/30 17:38:45 - mmengine - INFO - Epoch(train) [89][3620/3757] lr: 1.000e-04 eta: 3:09:36 time: 0.256 data_time: 0.016 memory: 6404 grad_norm: 6.4329 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8630 loss: 0.8630 2022/06/30 17:38:50 - mmengine - INFO - Epoch(train) [89][3640/3757] lr: 1.000e-04 eta: 3:09:31 time: 0.254 data_time: 0.020 memory: 6404 grad_norm: 9.4876 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1574 loss: 1.1574 2022/06/30 17:38:56 - mmengine - INFO - Epoch(train) [89][3660/3757] lr: 1.000e-04 eta: 3:09:25 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 8.7776 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9113 loss: 0.9113 2022/06/30 17:39:01 - mmengine - INFO - Epoch(train) [89][3680/3757] lr: 1.000e-04 eta: 3:09:20 time: 0.255 data_time: 0.014 memory: 6404 grad_norm: 8.8841 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.6211 loss: 0.6211 2022/06/30 17:39:07 - mmengine - INFO - Epoch(train) [89][3700/3757] lr: 1.000e-04 eta: 3:09:14 time: 0.280 data_time: 0.006 memory: 6404 grad_norm: 8.1738 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6014 loss: 0.6014 2022/06/30 17:39:12 - mmengine - INFO - Epoch(train) [89][3720/3757] lr: 1.000e-04 eta: 3:09:09 time: 0.262 data_time: 0.013 memory: 6404 grad_norm: 10.4962 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8534 loss: 0.8534 2022/06/30 17:39:18 - mmengine - INFO - Epoch(train) [89][3740/3757] lr: 1.000e-04 eta: 3:09:03 time: 0.237 data_time: 0.011 memory: 6404 grad_norm: 8.0410 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0184 loss: 1.0184 2022/06/30 17:39:22 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 17:39:29 - mmengine - INFO - Epoch(val) [89][20/310] eta: 0:01:30 time: 0.098 data_time: 0.014 memory: 6404 2022/06/30 17:39:34 - mmengine - INFO - Epoch(val) [89][40/310] eta: 0:01:12 time: 0.091 data_time: 0.012 memory: 1479 2022/06/30 17:39:40 - mmengine - INFO - Epoch(val) [89][60/310] eta: 0:00:20 time: 0.085 data_time: 0.005 memory: 1479 2022/06/30 17:39:45 - mmengine - INFO - Epoch(val) [89][80/310] eta: 0:01:05 time: 0.082 data_time: 0.007 memory: 1479 2022/06/30 17:39:51 - mmengine - INFO - Epoch(val) [89][100/310] eta: 0:01:02 time: 0.097 data_time: 0.009 memory: 1479 2022/06/30 17:39:55 - mmengine - INFO - Epoch(val) [89][120/310] eta: 0:00:17 time: 0.081 data_time: 0.005 memory: 1479 2022/06/30 17:40:01 - mmengine - INFO - Epoch(val) [89][140/310] eta: 0:00:51 time: 0.093 data_time: 0.006 memory: 1479 2022/06/30 17:40:07 - mmengine - INFO - Epoch(val) [89][160/310] eta: 0:00:42 time: 0.121 data_time: 0.039 memory: 1479 2022/06/30 17:40:11 - mmengine - INFO - Epoch(val) [89][180/310] eta: 0:00:17 time: 0.086 data_time: 0.005 memory: 1479 2022/06/30 17:40:17 - mmengine - INFO - Epoch(val) [89][200/310] eta: 0:00:32 time: 0.088 data_time: 0.006 memory: 1479 2022/06/30 17:40:22 - mmengine - INFO - Epoch(val) [89][220/310] eta: 0:00:26 time: 0.088 data_time: 0.009 memory: 1479 2022/06/30 17:40:26 - mmengine - INFO - Epoch(val) [89][240/310] eta: 0:00:05 time: 0.079 data_time: 0.006 memory: 1479 2022/06/30 17:40:32 - mmengine - INFO - Epoch(val) [89][260/310] eta: 0:00:15 time: 0.085 data_time: 0.006 memory: 1479 2022/06/30 17:40:38 - mmengine - INFO - Epoch(val) [89][280/310] eta: 0:00:08 time: 0.084 data_time: 0.005 memory: 1479 2022/06/30 17:40:41 - mmengine - INFO - Epoch(val) [89][300/310] eta: 0:00:00 time: 0.093 data_time: 0.005 memory: 1479 2022/06/30 17:40:45 - mmengine - INFO - Epoch(val) [89][310/310] acc/top1: 0.6739 acc/top5: 0.8705 acc/mean1: 0.6738 2022/06/30 17:40:54 - mmengine - INFO - Epoch(train) [90][20/3757] lr: 1.000e-04 eta: 3:08:53 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 9.4484 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0734 loss: 1.0734 2022/06/30 17:41:00 - mmengine - INFO - Epoch(train) [90][40/3757] lr: 1.000e-04 eta: 3:08:48 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 7.9183 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2757 loss: 1.2757 2022/06/30 17:41:07 - mmengine - INFO - Epoch(train) [90][60/3757] lr: 1.000e-04 eta: 3:08:43 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 9.5288 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1066 loss: 1.1066 2022/06/30 17:41:12 - mmengine - INFO - Epoch(train) [90][80/3757] lr: 1.000e-04 eta: 3:08:37 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 8.1354 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0177 loss: 1.0177 2022/06/30 17:41:18 - mmengine - INFO - Epoch(train) [90][100/3757] lr: 1.000e-04 eta: 3:08:32 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 8.4523 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0808 loss: 1.0808 2022/06/30 17:41:23 - mmengine - INFO - Epoch(train) [90][120/3757] lr: 1.000e-04 eta: 3:08:26 time: 0.286 data_time: 0.011 memory: 6404 grad_norm: 7.7272 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7937 loss: 0.7937 2022/06/30 17:41:29 - mmengine - INFO - Epoch(train) [90][140/3757] lr: 1.000e-04 eta: 3:08:21 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 9.4206 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9215 loss: 0.9215 2022/06/30 17:41:34 - mmengine - INFO - Epoch(train) [90][160/3757] lr: 1.000e-04 eta: 3:08:15 time: 0.251 data_time: 0.016 memory: 6404 grad_norm: 9.8748 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2738 loss: 1.2738 2022/06/30 17:41:39 - mmengine - INFO - Epoch(train) [90][180/3757] lr: 1.000e-04 eta: 3:08:10 time: 0.266 data_time: 0.013 memory: 6404 grad_norm: 10.5575 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9113 loss: 0.9113 2022/06/30 17:41:45 - mmengine - INFO - Epoch(train) [90][200/3757] lr: 1.000e-04 eta: 3:08:04 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 8.9579 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8938 loss: 0.8938 2022/06/30 17:41:50 - mmengine - INFO - Epoch(train) [90][220/3757] lr: 1.000e-04 eta: 3:07:59 time: 0.273 data_time: 0.010 memory: 6404 grad_norm: 8.4162 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0475 loss: 1.0475 2022/06/30 17:41:56 - mmengine - INFO - Epoch(train) [90][240/3757] lr: 1.000e-04 eta: 3:07:53 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 9.9671 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0836 loss: 1.0836 2022/06/30 17:42:01 - mmengine - INFO - Epoch(train) [90][260/3757] lr: 1.000e-04 eta: 3:07:48 time: 0.310 data_time: 0.011 memory: 6404 grad_norm: 7.3749 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9727 loss: 0.9727 2022/06/30 17:42:06 - mmengine - INFO - Epoch(train) [90][280/3757] lr: 1.000e-04 eta: 3:07:42 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 8.2073 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1453 loss: 1.1453 2022/06/30 17:42:11 - mmengine - INFO - Epoch(train) [90][300/3757] lr: 1.000e-04 eta: 3:07:36 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 7.8908 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7543 loss: 0.7543 2022/06/30 17:42:17 - mmengine - INFO - Epoch(train) [90][320/3757] lr: 1.000e-04 eta: 3:07:31 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 9.6572 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0701 loss: 1.0701 2022/06/30 17:42:22 - mmengine - INFO - Epoch(train) [90][340/3757] lr: 1.000e-04 eta: 3:07:25 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 8.2966 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0200 loss: 1.0200 2022/06/30 17:42:28 - mmengine - INFO - Epoch(train) [90][360/3757] lr: 1.000e-04 eta: 3:07:20 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 10.5869 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6714 loss: 0.6714 2022/06/30 17:42:34 - mmengine - INFO - Epoch(train) [90][380/3757] lr: 1.000e-04 eta: 3:07:15 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 8.4101 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1385 loss: 1.1385 2022/06/30 17:42:39 - mmengine - INFO - Epoch(train) [90][400/3757] lr: 1.000e-04 eta: 3:07:09 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 8.1487 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1729 loss: 1.1729 2022/06/30 17:42:45 - mmengine - INFO - Epoch(train) [90][420/3757] lr: 1.000e-04 eta: 3:07:04 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 9.0503 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9076 loss: 0.9076 2022/06/30 17:42:50 - mmengine - INFO - Epoch(train) [90][440/3757] lr: 1.000e-04 eta: 3:06:58 time: 0.294 data_time: 0.007 memory: 6404 grad_norm: 8.9205 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0175 loss: 1.0175 2022/06/30 17:42:56 - mmengine - INFO - Epoch(train) [90][460/3757] lr: 1.000e-04 eta: 3:06:53 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 9.7559 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9185 loss: 0.9185 2022/06/30 17:43:01 - mmengine - INFO - Epoch(train) [90][480/3757] lr: 1.000e-04 eta: 3:06:47 time: 0.243 data_time: 0.010 memory: 6404 grad_norm: 11.5766 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3405 loss: 1.3405 2022/06/30 17:43:07 - mmengine - INFO - Epoch(train) [90][500/3757] lr: 1.000e-04 eta: 3:06:42 time: 0.288 data_time: 0.008 memory: 6404 grad_norm: 10.5281 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7923 loss: 0.7923 2022/06/30 17:43:12 - mmengine - INFO - Epoch(train) [90][520/3757] lr: 1.000e-04 eta: 3:06:36 time: 0.269 data_time: 0.021 memory: 6404 grad_norm: 9.6435 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7323 loss: 0.7323 2022/06/30 17:43:17 - mmengine - INFO - Epoch(train) [90][540/3757] lr: 1.000e-04 eta: 3:06:31 time: 0.252 data_time: 0.015 memory: 6404 grad_norm: 7.7581 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7127 loss: 0.7127 2022/06/30 17:43:23 - mmengine - INFO - Epoch(train) [90][560/3757] lr: 1.000e-04 eta: 3:06:25 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.8305 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9492 loss: 0.9492 2022/06/30 17:43:29 - mmengine - INFO - Epoch(train) [90][580/3757] lr: 1.000e-04 eta: 3:06:20 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 10.6443 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9840 loss: 0.9840 2022/06/30 17:43:34 - mmengine - INFO - Epoch(train) [90][600/3757] lr: 1.000e-04 eta: 3:06:14 time: 0.341 data_time: 0.010 memory: 6404 grad_norm: 12.8120 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2062 loss: 1.2062 2022/06/30 17:43:40 - mmengine - INFO - Epoch(train) [90][620/3757] lr: 1.000e-04 eta: 3:06:09 time: 0.262 data_time: 0.010 memory: 6404 grad_norm: 9.5011 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9274 loss: 0.9274 2022/06/30 17:43:41 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 17:43:45 - mmengine - INFO - Epoch(train) [90][640/3757] lr: 1.000e-04 eta: 3:06:03 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 11.0984 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2430 loss: 1.2430 2022/06/30 17:43:51 - mmengine - INFO - Epoch(train) [90][660/3757] lr: 1.000e-04 eta: 3:05:58 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 9.4049 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8170 loss: 0.8170 2022/06/30 17:43:56 - mmengine - INFO - Epoch(train) [90][680/3757] lr: 1.000e-04 eta: 3:05:52 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 8.6590 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8467 loss: 0.8467 2022/06/30 17:44:01 - mmengine - INFO - Epoch(train) [90][700/3757] lr: 1.000e-04 eta: 3:05:47 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 9.2250 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1950 loss: 1.1950 2022/06/30 17:44:08 - mmengine - INFO - Epoch(train) [90][720/3757] lr: 1.000e-04 eta: 3:05:41 time: 1.775 data_time: 0.066 memory: 6404 grad_norm: 9.1912 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4748 loss: 1.4748 2022/06/30 17:44:14 - mmengine - INFO - Epoch(train) [90][740/3757] lr: 1.000e-04 eta: 3:05:36 time: 0.259 data_time: 0.016 memory: 6404 grad_norm: 9.8647 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9639 loss: 0.9639 2022/06/30 17:44:19 - mmengine - INFO - Epoch(train) [90][760/3757] lr: 1.000e-04 eta: 3:05:30 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 9.1369 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9423 loss: 0.9423 2022/06/30 17:44:24 - mmengine - INFO - Epoch(train) [90][780/3757] lr: 1.000e-04 eta: 3:05:25 time: 0.245 data_time: 0.018 memory: 6404 grad_norm: 9.5959 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5666 loss: 0.5666 2022/06/30 17:44:29 - mmengine - INFO - Epoch(train) [90][800/3757] lr: 1.000e-04 eta: 3:05:19 time: 0.261 data_time: 0.017 memory: 6404 grad_norm: 9.6397 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7323 loss: 0.7323 2022/06/30 17:44:34 - mmengine - INFO - Epoch(train) [90][820/3757] lr: 1.000e-04 eta: 3:05:14 time: 0.272 data_time: 0.009 memory: 6404 grad_norm: 9.6522 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1081 loss: 1.1081 2022/06/30 17:44:40 - mmengine - INFO - Epoch(train) [90][840/3757] lr: 1.000e-04 eta: 3:05:08 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 9.3105 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8761 loss: 0.8761 2022/06/30 17:44:45 - mmengine - INFO - Epoch(train) [90][860/3757] lr: 1.000e-04 eta: 3:05:03 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 9.3511 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0980 loss: 1.0980 2022/06/30 17:44:50 - mmengine - INFO - Epoch(train) [90][880/3757] lr: 1.000e-04 eta: 3:04:57 time: 0.265 data_time: 0.012 memory: 6404 grad_norm: 9.3577 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1235 loss: 1.1235 2022/06/30 17:44:56 - mmengine - INFO - Epoch(train) [90][900/3757] lr: 1.000e-04 eta: 3:04:52 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 8.5220 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7119 loss: 0.7119 2022/06/30 17:45:01 - mmengine - INFO - Epoch(train) [90][920/3757] lr: 1.000e-04 eta: 3:04:46 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 8.7580 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9187 loss: 0.9187 2022/06/30 17:45:07 - mmengine - INFO - Epoch(train) [90][940/3757] lr: 1.000e-04 eta: 3:04:41 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 8.8752 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8588 loss: 0.8588 2022/06/30 17:45:12 - mmengine - INFO - Epoch(train) [90][960/3757] lr: 1.000e-04 eta: 3:04:35 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 8.9865 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1471 loss: 1.1471 2022/06/30 17:45:18 - mmengine - INFO - Epoch(train) [90][980/3757] lr: 1.000e-04 eta: 3:04:30 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 10.1792 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9421 loss: 0.9421 2022/06/30 17:45:24 - mmengine - INFO - Epoch(train) [90][1000/3757] lr: 1.000e-04 eta: 3:04:24 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 10.2464 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1146 loss: 1.1146 2022/06/30 17:45:29 - mmengine - INFO - Epoch(train) [90][1020/3757] lr: 1.000e-04 eta: 3:04:19 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 7.6611 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7514 loss: 0.7514 2022/06/30 17:45:35 - mmengine - INFO - Epoch(train) [90][1040/3757] lr: 1.000e-04 eta: 3:04:13 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.1729 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6761 loss: 0.6761 2022/06/30 17:45:41 - mmengine - INFO - Epoch(train) [90][1060/3757] lr: 1.000e-04 eta: 3:04:08 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 7.6201 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2561 loss: 1.2561 2022/06/30 17:45:46 - mmengine - INFO - Epoch(train) [90][1080/3757] lr: 1.000e-04 eta: 3:04:02 time: 0.375 data_time: 0.007 memory: 6404 grad_norm: 8.4525 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7321 loss: 0.7321 2022/06/30 17:45:52 - mmengine - INFO - Epoch(train) [90][1100/3757] lr: 1.000e-04 eta: 3:03:57 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.9204 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7176 loss: 0.7176 2022/06/30 17:45:57 - mmengine - INFO - Epoch(train) [90][1120/3757] lr: 1.000e-04 eta: 3:03:52 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 8.3821 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9007 loss: 0.9007 2022/06/30 17:46:03 - mmengine - INFO - Epoch(train) [90][1140/3757] lr: 1.000e-04 eta: 3:03:46 time: 0.289 data_time: 0.016 memory: 6404 grad_norm: 9.8015 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0854 loss: 1.0854 2022/06/30 17:46:09 - mmengine - INFO - Epoch(train) [90][1160/3757] lr: 1.000e-04 eta: 3:03:41 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 6.8311 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8092 loss: 0.8092 2022/06/30 17:46:14 - mmengine - INFO - Epoch(train) [90][1180/3757] lr: 1.000e-04 eta: 3:03:35 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 11.8655 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0894 loss: 1.0894 2022/06/30 17:46:19 - mmengine - INFO - Epoch(train) [90][1200/3757] lr: 1.000e-04 eta: 3:03:30 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 8.4577 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9062 loss: 0.9062 2022/06/30 17:46:25 - mmengine - INFO - Epoch(train) [90][1220/3757] lr: 1.000e-04 eta: 3:03:24 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 7.9668 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3173 loss: 1.3173 2022/06/30 17:46:30 - mmengine - INFO - Epoch(train) [90][1240/3757] lr: 1.000e-04 eta: 3:03:19 time: 0.249 data_time: 0.057 memory: 6404 grad_norm: 10.6197 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8566 loss: 0.8566 2022/06/30 17:46:35 - mmengine - INFO - Epoch(train) [90][1260/3757] lr: 1.000e-04 eta: 3:03:13 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 10.8384 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8849 loss: 0.8849 2022/06/30 17:46:41 - mmengine - INFO - Epoch(train) [90][1280/3757] lr: 1.000e-04 eta: 3:03:07 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 8.9413 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1458 loss: 1.1458 2022/06/30 17:46:46 - mmengine - INFO - Epoch(train) [90][1300/3757] lr: 1.000e-04 eta: 3:03:02 time: 0.378 data_time: 0.179 memory: 6404 grad_norm: 9.6847 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0645 loss: 1.0645 2022/06/30 17:46:51 - mmengine - INFO - Epoch(train) [90][1320/3757] lr: 1.000e-04 eta: 3:02:57 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 10.0573 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1277 loss: 1.1277 2022/06/30 17:46:57 - mmengine - INFO - Epoch(train) [90][1340/3757] lr: 1.000e-04 eta: 3:02:51 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 9.0123 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0156 loss: 1.0156 2022/06/30 17:47:02 - mmengine - INFO - Epoch(train) [90][1360/3757] lr: 1.000e-04 eta: 3:02:45 time: 0.246 data_time: 0.056 memory: 6404 grad_norm: 8.8920 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8866 loss: 0.8866 2022/06/30 17:47:08 - mmengine - INFO - Epoch(train) [90][1380/3757] lr: 1.000e-04 eta: 3:02:40 time: 0.257 data_time: 0.015 memory: 6404 grad_norm: 9.5967 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0791 loss: 1.0791 2022/06/30 17:47:14 - mmengine - INFO - Epoch(train) [90][1400/3757] lr: 1.000e-04 eta: 3:02:35 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 8.4141 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8935 loss: 0.8935 2022/06/30 17:47:19 - mmengine - INFO - Epoch(train) [90][1420/3757] lr: 1.000e-04 eta: 3:02:29 time: 0.381 data_time: 0.190 memory: 6404 grad_norm: 8.7518 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8904 loss: 0.8904 2022/06/30 17:47:25 - mmengine - INFO - Epoch(train) [90][1440/3757] lr: 1.000e-04 eta: 3:02:24 time: 0.473 data_time: 0.010 memory: 6404 grad_norm: 9.1650 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9819 loss: 0.9819 2022/06/30 17:47:30 - mmengine - INFO - Epoch(train) [90][1460/3757] lr: 1.000e-04 eta: 3:02:18 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 9.3435 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2385 loss: 1.2385 2022/06/30 17:47:36 - mmengine - INFO - Epoch(train) [90][1480/3757] lr: 1.000e-04 eta: 3:02:13 time: 0.441 data_time: 0.032 memory: 6404 grad_norm: 8.4293 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7666 loss: 0.7666 2022/06/30 17:47:41 - mmengine - INFO - Epoch(train) [90][1500/3757] lr: 1.000e-04 eta: 3:02:07 time: 0.254 data_time: 0.015 memory: 6404 grad_norm: 9.8231 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2113 loss: 1.2113 2022/06/30 17:47:47 - mmengine - INFO - Epoch(train) [90][1520/3757] lr: 1.000e-04 eta: 3:02:02 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 9.4051 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0621 loss: 1.0621 2022/06/30 17:47:52 - mmengine - INFO - Epoch(train) [90][1540/3757] lr: 1.000e-04 eta: 3:01:56 time: 0.265 data_time: 0.053 memory: 6404 grad_norm: 7.9094 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7078 loss: 0.7078 2022/06/30 17:47:58 - mmengine - INFO - Epoch(train) [90][1560/3757] lr: 1.000e-04 eta: 3:01:51 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 8.8027 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9886 loss: 0.9886 2022/06/30 17:48:03 - mmengine - INFO - Epoch(train) [90][1580/3757] lr: 1.000e-04 eta: 3:01:45 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 9.7739 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9716 loss: 0.9716 2022/06/30 17:48:08 - mmengine - INFO - Epoch(train) [90][1600/3757] lr: 1.000e-04 eta: 3:01:40 time: 0.268 data_time: 0.071 memory: 6404 grad_norm: 9.9872 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.0146 loss: 1.0146 2022/06/30 17:48:14 - mmengine - INFO - Epoch(train) [90][1620/3757] lr: 1.000e-04 eta: 3:01:34 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 9.7037 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1897 loss: 1.1897 2022/06/30 17:48:16 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 17:48:21 - mmengine - INFO - Epoch(train) [90][1640/3757] lr: 1.000e-04 eta: 3:01:29 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 9.5475 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1562 loss: 1.1562 2022/06/30 17:48:26 - mmengine - INFO - Epoch(train) [90][1660/3757] lr: 1.000e-04 eta: 3:01:23 time: 0.260 data_time: 0.023 memory: 6404 grad_norm: 7.9524 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9711 loss: 0.9711 2022/06/30 17:48:31 - mmengine - INFO - Epoch(train) [90][1680/3757] lr: 1.000e-04 eta: 3:01:18 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 10.4726 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7766 loss: 0.7766 2022/06/30 17:48:37 - mmengine - INFO - Epoch(train) [90][1700/3757] lr: 1.000e-04 eta: 3:01:12 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 8.3038 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0185 loss: 1.0185 2022/06/30 17:48:42 - mmengine - INFO - Epoch(train) [90][1720/3757] lr: 1.000e-04 eta: 3:01:07 time: 0.254 data_time: 0.021 memory: 6404 grad_norm: 8.5010 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8245 loss: 0.8245 2022/06/30 17:48:47 - mmengine - INFO - Epoch(train) [90][1740/3757] lr: 1.000e-04 eta: 3:01:01 time: 0.275 data_time: 0.013 memory: 6404 grad_norm: 9.2281 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8047 loss: 0.8047 2022/06/30 17:48:52 - mmengine - INFO - Epoch(train) [90][1760/3757] lr: 1.000e-04 eta: 3:00:56 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.6995 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8204 loss: 0.8204 2022/06/30 17:48:58 - mmengine - INFO - Epoch(train) [90][1780/3757] lr: 1.000e-04 eta: 3:00:50 time: 0.265 data_time: 0.016 memory: 6404 grad_norm: 8.9788 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9587 loss: 0.9587 2022/06/30 17:49:03 - mmengine - INFO - Epoch(train) [90][1800/3757] lr: 1.000e-04 eta: 3:00:45 time: 0.254 data_time: 0.015 memory: 6404 grad_norm: 9.6145 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0680 loss: 1.0680 2022/06/30 17:49:08 - mmengine - INFO - Epoch(train) [90][1820/3757] lr: 1.000e-04 eta: 3:00:39 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.2420 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9872 loss: 0.9872 2022/06/30 17:49:14 - mmengine - INFO - Epoch(train) [90][1840/3757] lr: 1.000e-04 eta: 3:00:34 time: 0.273 data_time: 0.008 memory: 6404 grad_norm: 8.4292 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0616 loss: 1.0616 2022/06/30 17:49:19 - mmengine - INFO - Epoch(train) [90][1860/3757] lr: 1.000e-04 eta: 3:00:28 time: 0.475 data_time: 0.284 memory: 6404 grad_norm: 8.9804 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9355 loss: 0.9355 2022/06/30 17:49:25 - mmengine - INFO - Epoch(train) [90][1880/3757] lr: 1.000e-04 eta: 3:00:23 time: 0.254 data_time: 0.017 memory: 6404 grad_norm: 10.1379 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2707 loss: 1.2707 2022/06/30 17:49:30 - mmengine - INFO - Epoch(train) [90][1900/3757] lr: 1.000e-04 eta: 3:00:17 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 7.7100 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2292 loss: 1.2292 2022/06/30 17:49:36 - mmengine - INFO - Epoch(train) [90][1920/3757] lr: 1.000e-04 eta: 3:00:12 time: 0.262 data_time: 0.025 memory: 6404 grad_norm: 8.0835 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8768 loss: 0.8768 2022/06/30 17:49:41 - mmengine - INFO - Epoch(train) [90][1940/3757] lr: 1.000e-04 eta: 3:00:06 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 11.0767 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9066 loss: 0.9066 2022/06/30 17:49:48 - mmengine - INFO - Epoch(train) [90][1960/3757] lr: 1.000e-04 eta: 3:00:01 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 9.2982 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1507 loss: 1.1507 2022/06/30 17:49:53 - mmengine - INFO - Epoch(train) [90][1980/3757] lr: 1.000e-04 eta: 2:59:55 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 10.8632 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3002 loss: 1.3002 2022/06/30 17:49:59 - mmengine - INFO - Epoch(train) [90][2000/3757] lr: 1.000e-04 eta: 2:59:50 time: 0.302 data_time: 0.015 memory: 6404 grad_norm: 9.5951 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1754 loss: 1.1754 2022/06/30 17:50:04 - mmengine - INFO - Epoch(train) [90][2020/3757] lr: 1.000e-04 eta: 2:59:44 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 9.2794 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9514 loss: 0.9514 2022/06/30 17:50:10 - mmengine - INFO - Epoch(train) [90][2040/3757] lr: 1.000e-04 eta: 2:59:39 time: 0.281 data_time: 0.007 memory: 6404 grad_norm: 9.5691 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7292 loss: 0.7292 2022/06/30 17:50:15 - mmengine - INFO - Epoch(train) [90][2060/3757] lr: 1.000e-04 eta: 2:59:33 time: 0.392 data_time: 0.007 memory: 6404 grad_norm: 8.0518 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8091 loss: 0.8091 2022/06/30 17:50:20 - mmengine - INFO - Epoch(train) [90][2080/3757] lr: 1.000e-04 eta: 2:59:28 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 9.2242 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9845 loss: 0.9845 2022/06/30 17:50:26 - mmengine - INFO - Epoch(train) [90][2100/3757] lr: 1.000e-04 eta: 2:59:22 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 11.5449 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1529 loss: 1.1529 2022/06/30 17:50:31 - mmengine - INFO - Epoch(train) [90][2120/3757] lr: 1.000e-04 eta: 2:59:17 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 8.2368 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1271 loss: 1.1271 2022/06/30 17:50:37 - mmengine - INFO - Epoch(train) [90][2140/3757] lr: 1.000e-04 eta: 2:59:11 time: 0.266 data_time: 0.010 memory: 6404 grad_norm: 9.7701 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7793 loss: 0.7793 2022/06/30 17:50:43 - mmengine - INFO - Epoch(train) [90][2160/3757] lr: 1.000e-04 eta: 2:59:06 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 9.0858 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8166 loss: 0.8166 2022/06/30 17:50:48 - mmengine - INFO - Epoch(train) [90][2180/3757] lr: 1.000e-04 eta: 2:59:01 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 11.1158 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8936 loss: 0.8936 2022/06/30 17:50:54 - mmengine - INFO - Epoch(train) [90][2200/3757] lr: 1.000e-04 eta: 2:58:55 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 9.4827 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6343 loss: 0.6343 2022/06/30 17:50:59 - mmengine - INFO - Epoch(train) [90][2220/3757] lr: 1.000e-04 eta: 2:58:50 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 8.3726 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9021 loss: 0.9021 2022/06/30 17:51:05 - mmengine - INFO - Epoch(train) [90][2240/3757] lr: 1.000e-04 eta: 2:58:44 time: 0.269 data_time: 0.011 memory: 6404 grad_norm: 8.9337 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9127 loss: 0.9127 2022/06/30 17:51:10 - mmengine - INFO - Epoch(train) [90][2260/3757] lr: 1.000e-04 eta: 2:58:39 time: 0.243 data_time: 0.025 memory: 6404 grad_norm: 9.2574 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7284 loss: 0.7284 2022/06/30 17:51:16 - mmengine - INFO - Epoch(train) [90][2280/3757] lr: 1.000e-04 eta: 2:58:33 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 9.5495 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9186 loss: 0.9186 2022/06/30 17:51:21 - mmengine - INFO - Epoch(train) [90][2300/3757] lr: 1.000e-04 eta: 2:58:28 time: 0.256 data_time: 0.016 memory: 6404 grad_norm: 9.1005 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2208 loss: 1.2208 2022/06/30 17:51:26 - mmengine - INFO - Epoch(train) [90][2320/3757] lr: 1.000e-04 eta: 2:58:22 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 9.4722 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1752 loss: 1.1752 2022/06/30 17:51:31 - mmengine - INFO - Epoch(train) [90][2340/3757] lr: 1.000e-04 eta: 2:58:17 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 7.7073 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9594 loss: 0.9594 2022/06/30 17:51:37 - mmengine - INFO - Epoch(train) [90][2360/3757] lr: 1.000e-04 eta: 2:58:11 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 7.9710 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9813 loss: 0.9813 2022/06/30 17:51:42 - mmengine - INFO - Epoch(train) [90][2380/3757] lr: 1.000e-04 eta: 2:58:06 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 7.8481 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0272 loss: 1.0272 2022/06/30 17:51:48 - mmengine - INFO - Epoch(train) [90][2400/3757] lr: 1.000e-04 eta: 2:58:00 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 11.0397 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0797 loss: 1.0797 2022/06/30 17:51:53 - mmengine - INFO - Epoch(train) [90][2420/3757] lr: 1.000e-04 eta: 2:57:55 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 9.1611 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9974 loss: 0.9974 2022/06/30 17:51:59 - mmengine - INFO - Epoch(train) [90][2440/3757] lr: 1.000e-04 eta: 2:57:49 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 10.6237 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0525 loss: 1.0525 2022/06/30 17:52:04 - mmengine - INFO - Epoch(train) [90][2460/3757] lr: 1.000e-04 eta: 2:57:44 time: 0.243 data_time: 0.012 memory: 6404 grad_norm: 12.6399 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1832 loss: 1.1832 2022/06/30 17:52:10 - mmengine - INFO - Epoch(train) [90][2480/3757] lr: 1.000e-04 eta: 2:57:38 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 8.4142 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1305 loss: 1.1305 2022/06/30 17:52:16 - mmengine - INFO - Epoch(train) [90][2500/3757] lr: 1.000e-04 eta: 2:57:33 time: 0.257 data_time: 0.015 memory: 6404 grad_norm: 9.4759 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0448 loss: 1.0448 2022/06/30 17:52:21 - mmengine - INFO - Epoch(train) [90][2520/3757] lr: 1.000e-04 eta: 2:57:27 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 9.3960 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9281 loss: 0.9281 2022/06/30 17:52:27 - mmengine - INFO - Epoch(train) [90][2540/3757] lr: 1.000e-04 eta: 2:57:22 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 8.1439 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0253 loss: 1.0253 2022/06/30 17:52:32 - mmengine - INFO - Epoch(train) [90][2560/3757] lr: 1.000e-04 eta: 2:57:16 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 9.0054 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7839 loss: 0.7839 2022/06/30 17:52:38 - mmengine - INFO - Epoch(train) [90][2580/3757] lr: 1.000e-04 eta: 2:57:11 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 8.2665 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8758 loss: 0.8758 2022/06/30 17:52:43 - mmengine - INFO - Epoch(train) [90][2600/3757] lr: 1.000e-04 eta: 2:57:05 time: 0.714 data_time: 0.008 memory: 6404 grad_norm: 9.0432 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1793 loss: 1.1793 2022/06/30 17:52:49 - mmengine - INFO - Epoch(train) [90][2620/3757] lr: 1.000e-04 eta: 2:57:00 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 9.6123 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0992 loss: 1.0992 2022/06/30 17:52:51 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 17:52:54 - mmengine - INFO - Epoch(train) [90][2640/3757] lr: 1.000e-04 eta: 2:56:54 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 9.1128 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1359 loss: 1.1359 2022/06/30 17:53:00 - mmengine - INFO - Epoch(train) [90][2660/3757] lr: 1.000e-04 eta: 2:56:49 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 9.4381 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1404 loss: 1.1404 2022/06/30 17:53:06 - mmengine - INFO - Epoch(train) [90][2680/3757] lr: 1.000e-04 eta: 2:56:43 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 9.2411 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9246 loss: 0.9246 2022/06/30 17:53:11 - mmengine - INFO - Epoch(train) [90][2700/3757] lr: 1.000e-04 eta: 2:56:38 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 8.7816 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8610 loss: 0.8610 2022/06/30 17:53:17 - mmengine - INFO - Epoch(train) [90][2720/3757] lr: 1.000e-04 eta: 2:56:32 time: 0.282 data_time: 0.010 memory: 6404 grad_norm: 6.3823 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8947 loss: 0.8947 2022/06/30 17:53:22 - mmengine - INFO - Epoch(train) [90][2740/3757] lr: 1.000e-04 eta: 2:56:27 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.0497 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7320 loss: 0.7320 2022/06/30 17:53:28 - mmengine - INFO - Epoch(train) [90][2760/3757] lr: 1.000e-04 eta: 2:56:21 time: 0.254 data_time: 0.015 memory: 6404 grad_norm: 7.4786 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9824 loss: 0.9824 2022/06/30 17:53:33 - mmengine - INFO - Epoch(train) [90][2780/3757] lr: 1.000e-04 eta: 2:56:16 time: 0.269 data_time: 0.008 memory: 6404 grad_norm: 8.0737 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9623 loss: 0.9623 2022/06/30 17:53:38 - mmengine - INFO - Epoch(train) [90][2800/3757] lr: 1.000e-04 eta: 2:56:10 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 9.2289 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0636 loss: 1.0636 2022/06/30 17:53:44 - mmengine - INFO - Epoch(train) [90][2820/3757] lr: 1.000e-04 eta: 2:56:05 time: 0.275 data_time: 0.018 memory: 6404 grad_norm: 8.9834 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4473 loss: 1.4473 2022/06/30 17:53:49 - mmengine - INFO - Epoch(train) [90][2840/3757] lr: 1.000e-04 eta: 2:55:59 time: 0.453 data_time: 0.008 memory: 6404 grad_norm: 8.7297 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0207 loss: 1.0207 2022/06/30 17:53:54 - mmengine - INFO - Epoch(train) [90][2860/3757] lr: 1.000e-04 eta: 2:55:54 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 9.5549 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5742 loss: 0.5742 2022/06/30 17:54:01 - mmengine - INFO - Epoch(train) [90][2880/3757] lr: 1.000e-04 eta: 2:55:48 time: 0.875 data_time: 0.011 memory: 6404 grad_norm: 8.3679 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8901 loss: 0.8901 2022/06/30 17:54:06 - mmengine - INFO - Epoch(train) [90][2900/3757] lr: 1.000e-04 eta: 2:55:43 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 11.0177 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9034 loss: 0.9034 2022/06/30 17:54:12 - mmengine - INFO - Epoch(train) [90][2920/3757] lr: 1.000e-04 eta: 2:55:37 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 9.9959 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0906 loss: 1.0906 2022/06/30 17:54:17 - mmengine - INFO - Epoch(train) [90][2940/3757] lr: 1.000e-04 eta: 2:55:32 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 8.4296 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.6776 loss: 0.6776 2022/06/30 17:54:23 - mmengine - INFO - Epoch(train) [90][2960/3757] lr: 1.000e-04 eta: 2:55:26 time: 0.256 data_time: 0.017 memory: 6404 grad_norm: 9.6444 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9649 loss: 0.9649 2022/06/30 17:54:28 - mmengine - INFO - Epoch(train) [90][2980/3757] lr: 1.000e-04 eta: 2:55:21 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 8.8347 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8658 loss: 0.8658 2022/06/30 17:54:33 - mmengine - INFO - Epoch(train) [90][3000/3757] lr: 1.000e-04 eta: 2:55:15 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 9.5687 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1076 loss: 1.1076 2022/06/30 17:54:39 - mmengine - INFO - Epoch(train) [90][3020/3757] lr: 1.000e-04 eta: 2:55:10 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 8.3340 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2319 loss: 1.2319 2022/06/30 17:54:44 - mmengine - INFO - Epoch(train) [90][3040/3757] lr: 1.000e-04 eta: 2:55:04 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 8.0072 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7923 loss: 0.7923 2022/06/30 17:54:50 - mmengine - INFO - Epoch(train) [90][3060/3757] lr: 1.000e-04 eta: 2:54:59 time: 0.266 data_time: 0.013 memory: 6404 grad_norm: 7.0374 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0370 loss: 1.0370 2022/06/30 17:54:55 - mmengine - INFO - Epoch(train) [90][3080/3757] lr: 1.000e-04 eta: 2:54:53 time: 0.454 data_time: 0.007 memory: 6404 grad_norm: 7.0303 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7978 loss: 0.7978 2022/06/30 17:55:01 - mmengine - INFO - Epoch(train) [90][3100/3757] lr: 1.000e-04 eta: 2:54:48 time: 0.254 data_time: 0.020 memory: 6404 grad_norm: 9.5355 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0098 loss: 1.0098 2022/06/30 17:55:07 - mmengine - INFO - Epoch(train) [90][3120/3757] lr: 1.000e-04 eta: 2:54:43 time: 0.255 data_time: 0.017 memory: 6404 grad_norm: 9.7643 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8272 loss: 0.8272 2022/06/30 17:55:12 - mmengine - INFO - Epoch(train) [90][3140/3757] lr: 1.000e-04 eta: 2:54:37 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 7.0478 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7272 loss: 0.7272 2022/06/30 17:55:18 - mmengine - INFO - Epoch(train) [90][3160/3757] lr: 1.000e-04 eta: 2:54:32 time: 0.249 data_time: 0.023 memory: 6404 grad_norm: 9.6464 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1834 loss: 1.1834 2022/06/30 17:55:23 - mmengine - INFO - Epoch(train) [90][3180/3757] lr: 1.000e-04 eta: 2:54:26 time: 0.256 data_time: 0.021 memory: 6404 grad_norm: 9.6327 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0856 loss: 1.0856 2022/06/30 17:55:28 - mmengine - INFO - Epoch(train) [90][3200/3757] lr: 1.000e-04 eta: 2:54:21 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 9.1578 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1639 loss: 1.1639 2022/06/30 17:55:34 - mmengine - INFO - Epoch(train) [90][3220/3757] lr: 1.000e-04 eta: 2:54:15 time: 0.354 data_time: 0.072 memory: 6404 grad_norm: 10.1797 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6893 loss: 0.6893 2022/06/30 17:55:39 - mmengine - INFO - Epoch(train) [90][3240/3757] lr: 1.000e-04 eta: 2:54:10 time: 0.308 data_time: 0.103 memory: 6404 grad_norm: 10.6769 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9525 loss: 0.9525 2022/06/30 17:55:45 - mmengine - INFO - Epoch(train) [90][3260/3757] lr: 1.000e-04 eta: 2:54:04 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.3274 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8004 loss: 0.8004 2022/06/30 17:55:51 - mmengine - INFO - Epoch(train) [90][3280/3757] lr: 1.000e-04 eta: 2:53:59 time: 0.355 data_time: 0.151 memory: 6404 grad_norm: 9.9656 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0121 loss: 1.0121 2022/06/30 17:55:56 - mmengine - INFO - Epoch(train) [90][3300/3757] lr: 1.000e-04 eta: 2:53:53 time: 0.250 data_time: 0.032 memory: 6404 grad_norm: 7.3965 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2033 loss: 1.2033 2022/06/30 17:56:02 - mmengine - INFO - Epoch(train) [90][3320/3757] lr: 1.000e-04 eta: 2:53:48 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 8.4423 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8684 loss: 0.8684 2022/06/30 17:56:07 - mmengine - INFO - Epoch(train) [90][3340/3757] lr: 1.000e-04 eta: 2:53:42 time: 0.280 data_time: 0.048 memory: 6404 grad_norm: 9.8442 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8051 loss: 0.8051 2022/06/30 17:56:12 - mmengine - INFO - Epoch(train) [90][3360/3757] lr: 1.000e-04 eta: 2:53:37 time: 0.259 data_time: 0.028 memory: 6404 grad_norm: 8.9520 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8847 loss: 0.8847 2022/06/30 17:56:19 - mmengine - INFO - Epoch(train) [90][3380/3757] lr: 1.000e-04 eta: 2:53:31 time: 0.299 data_time: 0.011 memory: 6404 grad_norm: 8.3733 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1267 loss: 1.1267 2022/06/30 17:56:24 - mmengine - INFO - Epoch(train) [90][3400/3757] lr: 1.000e-04 eta: 2:53:26 time: 0.259 data_time: 0.059 memory: 6404 grad_norm: 8.8334 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8658 loss: 0.8658 2022/06/30 17:56:29 - mmengine - INFO - Epoch(train) [90][3420/3757] lr: 1.000e-04 eta: 2:53:20 time: 0.251 data_time: 0.015 memory: 6404 grad_norm: 8.7971 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2484 loss: 1.2484 2022/06/30 17:56:34 - mmengine - INFO - Epoch(train) [90][3440/3757] lr: 1.000e-04 eta: 2:53:15 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 9.6948 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9222 loss: 0.9222 2022/06/30 17:56:40 - mmengine - INFO - Epoch(train) [90][3460/3757] lr: 1.000e-04 eta: 2:53:09 time: 0.254 data_time: 0.016 memory: 6404 grad_norm: 8.1986 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6057 loss: 0.6057 2022/06/30 17:56:45 - mmengine - INFO - Epoch(train) [90][3480/3757] lr: 1.000e-04 eta: 2:53:04 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 8.0305 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9917 loss: 0.9917 2022/06/30 17:56:50 - mmengine - INFO - Epoch(train) [90][3500/3757] lr: 1.000e-04 eta: 2:52:58 time: 0.261 data_time: 0.016 memory: 6404 grad_norm: 10.1454 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2248 loss: 1.2248 2022/06/30 17:56:56 - mmengine - INFO - Epoch(train) [90][3520/3757] lr: 1.000e-04 eta: 2:52:53 time: 0.328 data_time: 0.047 memory: 6404 grad_norm: 10.6581 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1466 loss: 1.1466 2022/06/30 17:57:01 - mmengine - INFO - Epoch(train) [90][3540/3757] lr: 1.000e-04 eta: 2:52:47 time: 0.241 data_time: 0.024 memory: 6404 grad_norm: 7.1377 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0910 loss: 1.0910 2022/06/30 17:57:06 - mmengine - INFO - Epoch(train) [90][3560/3757] lr: 1.000e-04 eta: 2:52:42 time: 0.255 data_time: 0.025 memory: 6404 grad_norm: 7.2613 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0955 loss: 1.0955 2022/06/30 17:57:12 - mmengine - INFO - Epoch(train) [90][3580/3757] lr: 1.000e-04 eta: 2:52:36 time: 0.824 data_time: 0.268 memory: 6404 grad_norm: 8.3740 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2734 loss: 1.2734 2022/06/30 17:57:18 - mmengine - INFO - Epoch(train) [90][3600/3757] lr: 1.000e-04 eta: 2:52:31 time: 0.255 data_time: 0.017 memory: 6404 grad_norm: 10.8624 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3240 loss: 1.3240 2022/06/30 17:57:23 - mmengine - INFO - Epoch(train) [90][3620/3757] lr: 1.000e-04 eta: 2:52:25 time: 0.248 data_time: 0.023 memory: 6404 grad_norm: 8.7710 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2908 loss: 1.2908 2022/06/30 17:57:25 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 17:57:28 - mmengine - INFO - Epoch(train) [90][3640/3757] lr: 1.000e-04 eta: 2:52:20 time: 0.259 data_time: 0.025 memory: 6404 grad_norm: 9.1957 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9266 loss: 0.9266 2022/06/30 17:57:33 - mmengine - INFO - Epoch(train) [90][3660/3757] lr: 1.000e-04 eta: 2:52:14 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 8.5148 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2020 loss: 1.2020 2022/06/30 17:57:40 - mmengine - INFO - Epoch(train) [90][3680/3757] lr: 1.000e-04 eta: 2:52:09 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 6.4231 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9408 loss: 0.9408 2022/06/30 17:57:45 - mmengine - INFO - Epoch(train) [90][3700/3757] lr: 1.000e-04 eta: 2:52:03 time: 0.254 data_time: 0.050 memory: 6404 grad_norm: 8.9074 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0667 loss: 1.0667 2022/06/30 17:57:50 - mmengine - INFO - Epoch(train) [90][3720/3757] lr: 1.000e-04 eta: 2:51:58 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 9.1163 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0712 loss: 1.0712 2022/06/30 17:57:56 - mmengine - INFO - Epoch(train) [90][3740/3757] lr: 1.000e-04 eta: 2:51:52 time: 0.458 data_time: 0.007 memory: 6404 grad_norm: 8.4313 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9527 loss: 0.9527 2022/06/30 17:58:00 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 17:58:00 - mmengine - INFO - Saving checkpoint at 90 epochs 2022/06/30 17:58:11 - mmengine - INFO - Epoch(val) [90][20/310] eta: 0:01:26 time: 0.086 data_time: 0.010 memory: 6404 2022/06/30 17:58:17 - mmengine - INFO - Epoch(val) [90][40/310] eta: 0:01:25 time: 0.469 data_time: 0.394 memory: 1479 2022/06/30 17:58:21 - mmengine - INFO - Epoch(val) [90][60/310] eta: 0:00:28 time: 0.076 data_time: 0.005 memory: 1479 2022/06/30 17:58:27 - mmengine - INFO - Epoch(val) [90][80/310] eta: 0:01:11 time: 0.085 data_time: 0.006 memory: 1479 2022/06/30 17:58:33 - mmengine - INFO - Epoch(val) [90][100/310] eta: 0:01:06 time: 1.064 data_time: 0.991 memory: 1479 2022/06/30 17:58:37 - mmengine - INFO - Epoch(val) [90][120/310] eta: 0:00:38 time: 0.077 data_time: 0.005 memory: 1479 2022/06/30 17:58:43 - mmengine - INFO - Epoch(val) [90][140/310] eta: 0:00:54 time: 0.080 data_time: 0.006 memory: 1479 2022/06/30 17:58:50 - mmengine - INFO - Epoch(val) [90][160/310] eta: 0:00:48 time: 2.201 data_time: 2.119 memory: 1479 2022/06/30 17:58:54 - mmengine - INFO - Epoch(val) [90][180/310] eta: 0:00:43 time: 0.082 data_time: 0.006 memory: 1479 2022/06/30 17:59:00 - mmengine - INFO - Epoch(val) [90][200/310] eta: 0:00:33 time: 0.086 data_time: 0.008 memory: 1479 2022/06/30 17:59:06 - mmengine - INFO - Epoch(val) [90][220/310] eta: 0:00:26 time: 1.920 data_time: 1.839 memory: 1479 2022/06/30 17:59:10 - mmengine - INFO - Epoch(val) [90][240/310] eta: 0:00:19 time: 0.083 data_time: 0.005 memory: 1479 2022/06/30 17:59:16 - mmengine - INFO - Epoch(val) [90][260/310] eta: 0:00:18 time: 0.089 data_time: 0.007 memory: 1479 2022/06/30 17:59:20 - mmengine - INFO - Epoch(val) [90][280/310] eta: 0:00:05 time: 0.877 data_time: 0.807 memory: 1479 2022/06/30 17:59:22 - mmengine - INFO - Epoch(val) [90][300/310] eta: 0:00:01 time: 0.074 data_time: 0.005 memory: 1479 2022/06/30 17:59:24 - mmengine - INFO - Epoch(val) [90][310/310] acc/top1: 0.6752 acc/top5: 0.8705 acc/mean1: 0.6751 2022/06/30 17:59:34 - mmengine - INFO - Epoch(train) [91][20/3757] lr: 1.000e-04 eta: 2:51:42 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 9.0447 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8898 loss: 0.8898 2022/06/30 17:59:39 - mmengine - INFO - Epoch(train) [91][40/3757] lr: 1.000e-04 eta: 2:51:37 time: 0.275 data_time: 0.010 memory: 6404 grad_norm: 7.9664 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7617 loss: 0.7617 2022/06/30 17:59:44 - mmengine - INFO - Epoch(train) [91][60/3757] lr: 1.000e-04 eta: 2:51:31 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.3406 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8859 loss: 0.8859 2022/06/30 17:59:50 - mmengine - INFO - Epoch(train) [91][80/3757] lr: 1.000e-04 eta: 2:51:26 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 8.4713 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9756 loss: 0.9756 2022/06/30 17:59:55 - mmengine - INFO - Epoch(train) [91][100/3757] lr: 1.000e-04 eta: 2:51:20 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 7.4444 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9409 loss: 0.9409 2022/06/30 18:00:04 - mmengine - INFO - Epoch(train) [91][120/3757] lr: 1.000e-04 eta: 2:51:15 time: 0.579 data_time: 0.019 memory: 6404 grad_norm: 8.7118 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2141 loss: 1.2141 2022/06/30 18:00:09 - mmengine - INFO - Epoch(train) [91][140/3757] lr: 1.000e-04 eta: 2:51:10 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 7.8987 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6775 loss: 0.6775 2022/06/30 18:00:14 - mmengine - INFO - Epoch(train) [91][160/3757] lr: 1.000e-04 eta: 2:51:04 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.3405 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0014 loss: 1.0014 2022/06/30 18:00:20 - mmengine - INFO - Epoch(train) [91][180/3757] lr: 1.000e-04 eta: 2:50:59 time: 0.273 data_time: 0.015 memory: 6404 grad_norm: 10.1567 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1876 loss: 1.1876 2022/06/30 18:00:25 - mmengine - INFO - Epoch(train) [91][200/3757] lr: 1.000e-04 eta: 2:50:53 time: 0.300 data_time: 0.011 memory: 6404 grad_norm: 10.2080 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8420 loss: 0.8420 2022/06/30 18:00:30 - mmengine - INFO - Epoch(train) [91][220/3757] lr: 1.000e-04 eta: 2:50:48 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 8.9994 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8425 loss: 0.8425 2022/06/30 18:00:35 - mmengine - INFO - Epoch(train) [91][240/3757] lr: 1.000e-04 eta: 2:50:42 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 9.4068 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1192 loss: 1.1192 2022/06/30 18:00:41 - mmengine - INFO - Epoch(train) [91][260/3757] lr: 1.000e-04 eta: 2:50:36 time: 0.268 data_time: 0.012 memory: 6404 grad_norm: 8.7864 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3542 loss: 1.3542 2022/06/30 18:00:46 - mmengine - INFO - Epoch(train) [91][280/3757] lr: 1.000e-04 eta: 2:50:31 time: 0.262 data_time: 0.009 memory: 6404 grad_norm: 7.4546 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9165 loss: 0.9165 2022/06/30 18:00:51 - mmengine - INFO - Epoch(train) [91][300/3757] lr: 1.000e-04 eta: 2:50:25 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 7.8039 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8929 loss: 0.8929 2022/06/30 18:00:57 - mmengine - INFO - Epoch(train) [91][320/3757] lr: 1.000e-04 eta: 2:50:20 time: 0.270 data_time: 0.009 memory: 6404 grad_norm: 9.8336 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7280 loss: 0.7280 2022/06/30 18:01:02 - mmengine - INFO - Epoch(train) [91][340/3757] lr: 1.000e-04 eta: 2:50:14 time: 0.331 data_time: 0.009 memory: 6404 grad_norm: 11.7138 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0726 loss: 1.0726 2022/06/30 18:01:08 - mmengine - INFO - Epoch(train) [91][360/3757] lr: 1.000e-04 eta: 2:50:09 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.2508 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9460 loss: 0.9460 2022/06/30 18:01:14 - mmengine - INFO - Epoch(train) [91][380/3757] lr: 1.000e-04 eta: 2:50:04 time: 0.269 data_time: 0.012 memory: 6404 grad_norm: 10.4570 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8755 loss: 0.8755 2022/06/30 18:01:19 - mmengine - INFO - Epoch(train) [91][400/3757] lr: 1.000e-04 eta: 2:49:58 time: 0.468 data_time: 0.012 memory: 6404 grad_norm: 8.2771 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7592 loss: 0.7592 2022/06/30 18:01:25 - mmengine - INFO - Epoch(train) [91][420/3757] lr: 1.000e-04 eta: 2:49:53 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 11.8297 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9253 loss: 0.9253 2022/06/30 18:01:30 - mmengine - INFO - Epoch(train) [91][440/3757] lr: 1.000e-04 eta: 2:49:47 time: 0.263 data_time: 0.011 memory: 6404 grad_norm: 10.0629 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8153 loss: 0.8153 2022/06/30 18:01:36 - mmengine - INFO - Epoch(train) [91][460/3757] lr: 1.000e-04 eta: 2:49:42 time: 0.429 data_time: 0.096 memory: 6404 grad_norm: 8.9541 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1860 loss: 1.1860 2022/06/30 18:01:41 - mmengine - INFO - Epoch(train) [91][480/3757] lr: 1.000e-04 eta: 2:49:36 time: 0.308 data_time: 0.007 memory: 6404 grad_norm: 6.2393 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3265 loss: 1.3265 2022/06/30 18:01:47 - mmengine - INFO - Epoch(train) [91][500/3757] lr: 1.000e-04 eta: 2:49:31 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 8.4185 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0881 loss: 1.0881 2022/06/30 18:01:52 - mmengine - INFO - Epoch(train) [91][520/3757] lr: 1.000e-04 eta: 2:49:25 time: 0.253 data_time: 0.055 memory: 6404 grad_norm: 6.9881 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2213 loss: 1.2213 2022/06/30 18:01:57 - mmengine - INFO - Epoch(train) [91][540/3757] lr: 1.000e-04 eta: 2:49:20 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 8.9836 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0151 loss: 1.0151 2022/06/30 18:02:03 - mmengine - INFO - Epoch(train) [91][560/3757] lr: 1.000e-04 eta: 2:49:14 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 9.1662 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9760 loss: 0.9760 2022/06/30 18:02:08 - mmengine - INFO - Epoch(train) [91][580/3757] lr: 1.000e-04 eta: 2:49:09 time: 0.448 data_time: 0.256 memory: 6404 grad_norm: 9.7508 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7486 loss: 0.7486 2022/06/30 18:02:14 - mmengine - INFO - Epoch(train) [91][600/3757] lr: 1.000e-04 eta: 2:49:03 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 10.7252 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4396 loss: 1.4396 2022/06/30 18:02:20 - mmengine - INFO - Epoch(train) [91][620/3757] lr: 1.000e-04 eta: 2:48:58 time: 0.249 data_time: 0.015 memory: 6404 grad_norm: 9.7022 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7909 loss: 0.7909 2022/06/30 18:02:25 - mmengine - INFO - Epoch(train) [91][640/3757] lr: 1.000e-04 eta: 2:48:52 time: 0.255 data_time: 0.068 memory: 6404 grad_norm: 9.7871 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9858 loss: 0.9858 2022/06/30 18:02:30 - mmengine - INFO - Epoch(train) [91][660/3757] lr: 1.000e-04 eta: 2:48:47 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 9.7187 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2957 loss: 1.2957 2022/06/30 18:02:35 - mmengine - INFO - Epoch(train) [91][680/3757] lr: 1.000e-04 eta: 2:48:41 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.7227 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9672 loss: 0.9672 2022/06/30 18:02:42 - mmengine - INFO - Epoch(train) [91][700/3757] lr: 1.000e-04 eta: 2:48:36 time: 0.265 data_time: 0.039 memory: 6404 grad_norm: 8.3515 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9256 loss: 0.9256 2022/06/30 18:02:47 - mmengine - INFO - Epoch(train) [91][720/3757] lr: 1.000e-04 eta: 2:48:30 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 5.8125 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1101 loss: 1.1101 2022/06/30 18:02:52 - mmengine - INFO - Epoch(train) [91][740/3757] lr: 1.000e-04 eta: 2:48:25 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.8473 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0564 loss: 1.0564 2022/06/30 18:02:57 - mmengine - INFO - Epoch(train) [91][760/3757] lr: 1.000e-04 eta: 2:48:19 time: 0.252 data_time: 0.018 memory: 6404 grad_norm: 10.5346 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3069 loss: 1.3069 2022/06/30 18:03:03 - mmengine - INFO - Epoch(train) [91][780/3757] lr: 1.000e-04 eta: 2:48:14 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 9.3066 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9435 loss: 0.9435 2022/06/30 18:03:08 - mmengine - INFO - Epoch(train) [91][800/3757] lr: 1.000e-04 eta: 2:48:08 time: 0.260 data_time: 0.009 memory: 6404 grad_norm: 10.4299 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8240 loss: 0.8240 2022/06/30 18:03:13 - mmengine - INFO - Epoch(train) [91][820/3757] lr: 1.000e-04 eta: 2:48:03 time: 0.268 data_time: 0.016 memory: 6404 grad_norm: 8.6701 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9961 loss: 0.9961 2022/06/30 18:03:19 - mmengine - INFO - Epoch(train) [91][840/3757] lr: 1.000e-04 eta: 2:47:57 time: 0.254 data_time: 0.017 memory: 6404 grad_norm: 10.8240 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9609 loss: 0.9609 2022/06/30 18:03:24 - mmengine - INFO - Epoch(train) [91][860/3757] lr: 1.000e-04 eta: 2:47:52 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 9.1258 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9298 loss: 0.9298 2022/06/30 18:03:27 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 18:03:29 - mmengine - INFO - Epoch(train) [91][880/3757] lr: 1.000e-04 eta: 2:47:46 time: 0.258 data_time: 0.023 memory: 6404 grad_norm: 10.0480 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7604 loss: 0.7604 2022/06/30 18:03:35 - mmengine - INFO - Epoch(train) [91][900/3757] lr: 1.000e-04 eta: 2:47:41 time: 0.261 data_time: 0.011 memory: 6404 grad_norm: 10.6785 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6488 loss: 0.6488 2022/06/30 18:03:40 - mmengine - INFO - Epoch(train) [91][920/3757] lr: 1.000e-04 eta: 2:47:35 time: 0.248 data_time: 0.025 memory: 6404 grad_norm: 7.5784 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1717 loss: 1.1717 2022/06/30 18:03:46 - mmengine - INFO - Epoch(train) [91][940/3757] lr: 1.000e-04 eta: 2:47:30 time: 0.683 data_time: 0.009 memory: 6404 grad_norm: 11.4718 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7879 loss: 0.7879 2022/06/30 18:03:52 - mmengine - INFO - Epoch(train) [91][960/3757] lr: 1.000e-04 eta: 2:47:24 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 8.3062 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1755 loss: 1.1755 2022/06/30 18:03:57 - mmengine - INFO - Epoch(train) [91][980/3757] lr: 1.000e-04 eta: 2:47:19 time: 0.270 data_time: 0.009 memory: 6404 grad_norm: 8.5086 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9645 loss: 0.9645 2022/06/30 18:04:02 - mmengine - INFO - Epoch(train) [91][1000/3757] lr: 1.000e-04 eta: 2:47:13 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 9.8446 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8369 loss: 0.8369 2022/06/30 18:04:08 - mmengine - INFO - Epoch(train) [91][1020/3757] lr: 1.000e-04 eta: 2:47:08 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 11.1464 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0040 loss: 1.0040 2022/06/30 18:04:14 - mmengine - INFO - Epoch(train) [91][1040/3757] lr: 1.000e-04 eta: 2:47:02 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 8.6184 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2138 loss: 1.2138 2022/06/30 18:04:20 - mmengine - INFO - Epoch(train) [91][1060/3757] lr: 1.000e-04 eta: 2:46:57 time: 0.270 data_time: 0.007 memory: 6404 grad_norm: 9.7857 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9893 loss: 0.9893 2022/06/30 18:04:25 - mmengine - INFO - Epoch(train) [91][1080/3757] lr: 1.000e-04 eta: 2:46:51 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 9.1592 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6979 loss: 0.6979 2022/06/30 18:04:30 - mmengine - INFO - Epoch(train) [91][1100/3757] lr: 1.000e-04 eta: 2:46:46 time: 0.287 data_time: 0.090 memory: 6404 grad_norm: 9.7579 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2054 loss: 1.2054 2022/06/30 18:04:35 - mmengine - INFO - Epoch(train) [91][1120/3757] lr: 1.000e-04 eta: 2:46:40 time: 0.256 data_time: 0.013 memory: 6404 grad_norm: 8.3918 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4069 loss: 1.4069 2022/06/30 18:04:41 - mmengine - INFO - Epoch(train) [91][1140/3757] lr: 1.000e-04 eta: 2:46:35 time: 0.269 data_time: 0.008 memory: 6404 grad_norm: 7.2398 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8036 loss: 0.8036 2022/06/30 18:04:46 - mmengine - INFO - Epoch(train) [91][1160/3757] lr: 1.000e-04 eta: 2:46:29 time: 0.267 data_time: 0.010 memory: 6404 grad_norm: 10.3199 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9778 loss: 0.9778 2022/06/30 18:04:51 - mmengine - INFO - Epoch(train) [91][1180/3757] lr: 1.000e-04 eta: 2:46:24 time: 0.252 data_time: 0.015 memory: 6404 grad_norm: 9.3597 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2519 loss: 1.2519 2022/06/30 18:04:57 - mmengine - INFO - Epoch(train) [91][1200/3757] lr: 1.000e-04 eta: 2:46:18 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 8.8596 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0652 loss: 1.0652 2022/06/30 18:05:02 - mmengine - INFO - Epoch(train) [91][1220/3757] lr: 1.000e-04 eta: 2:46:13 time: 0.240 data_time: 0.007 memory: 6404 grad_norm: 7.7438 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0533 loss: 1.0533 2022/06/30 18:05:08 - mmengine - INFO - Epoch(train) [91][1240/3757] lr: 1.000e-04 eta: 2:46:07 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 12.5573 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0248 loss: 1.0248 2022/06/30 18:05:13 - mmengine - INFO - Epoch(train) [91][1260/3757] lr: 1.000e-04 eta: 2:46:02 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 8.7022 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9026 loss: 0.9026 2022/06/30 18:05:19 - mmengine - INFO - Epoch(train) [91][1280/3757] lr: 1.000e-04 eta: 2:45:56 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.1633 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0617 loss: 1.0617 2022/06/30 18:05:24 - mmengine - INFO - Epoch(train) [91][1300/3757] lr: 1.000e-04 eta: 2:45:51 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 10.3397 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9424 loss: 0.9424 2022/06/30 18:05:30 - mmengine - INFO - Epoch(train) [91][1320/3757] lr: 1.000e-04 eta: 2:45:45 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 10.0853 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6043 loss: 0.6043 2022/06/30 18:05:35 - mmengine - INFO - Epoch(train) [91][1340/3757] lr: 1.000e-04 eta: 2:45:40 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 8.4698 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1885 loss: 1.1885 2022/06/30 18:05:41 - mmengine - INFO - Epoch(train) [91][1360/3757] lr: 1.000e-04 eta: 2:45:34 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 9.7754 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1415 loss: 1.1415 2022/06/30 18:05:47 - mmengine - INFO - Epoch(train) [91][1380/3757] lr: 1.000e-04 eta: 2:45:29 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 9.8133 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8461 loss: 0.8461 2022/06/30 18:05:52 - mmengine - INFO - Epoch(train) [91][1400/3757] lr: 1.000e-04 eta: 2:45:23 time: 0.271 data_time: 0.013 memory: 6404 grad_norm: 9.9944 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9963 loss: 0.9963 2022/06/30 18:05:58 - mmengine - INFO - Epoch(train) [91][1420/3757] lr: 1.000e-04 eta: 2:45:18 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 9.3472 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0366 loss: 1.0366 2022/06/30 18:06:03 - mmengine - INFO - Epoch(train) [91][1440/3757] lr: 1.000e-04 eta: 2:45:12 time: 0.261 data_time: 0.012 memory: 6404 grad_norm: 8.9524 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7120 loss: 0.7120 2022/06/30 18:06:08 - mmengine - INFO - Epoch(train) [91][1460/3757] lr: 1.000e-04 eta: 2:45:07 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 7.0744 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0594 loss: 1.0594 2022/06/30 18:06:14 - mmengine - INFO - Epoch(train) [91][1480/3757] lr: 1.000e-04 eta: 2:45:01 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 8.3527 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8608 loss: 0.8608 2022/06/30 18:06:19 - mmengine - INFO - Epoch(train) [91][1500/3757] lr: 1.000e-04 eta: 2:44:56 time: 0.262 data_time: 0.035 memory: 6404 grad_norm: 9.5504 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1614 loss: 1.1614 2022/06/30 18:06:24 - mmengine - INFO - Epoch(train) [91][1520/3757] lr: 1.000e-04 eta: 2:44:50 time: 0.253 data_time: 0.018 memory: 6404 grad_norm: 8.5797 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8712 loss: 0.8712 2022/06/30 18:06:30 - mmengine - INFO - Epoch(train) [91][1540/3757] lr: 1.000e-04 eta: 2:44:45 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 10.8965 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3802 loss: 1.3802 2022/06/30 18:06:35 - mmengine - INFO - Epoch(train) [91][1560/3757] lr: 1.000e-04 eta: 2:44:39 time: 0.258 data_time: 0.067 memory: 6404 grad_norm: 9.8175 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8210 loss: 0.8210 2022/06/30 18:06:41 - mmengine - INFO - Epoch(train) [91][1580/3757] lr: 1.000e-04 eta: 2:44:34 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 9.1018 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2001 loss: 1.2001 2022/06/30 18:06:46 - mmengine - INFO - Epoch(train) [91][1600/3757] lr: 1.000e-04 eta: 2:44:28 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 8.6892 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8856 loss: 0.8856 2022/06/30 18:06:52 - mmengine - INFO - Epoch(train) [91][1620/3757] lr: 1.000e-04 eta: 2:44:23 time: 0.247 data_time: 0.052 memory: 6404 grad_norm: 7.9222 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1917 loss: 1.1917 2022/06/30 18:06:57 - mmengine - INFO - Epoch(train) [91][1640/3757] lr: 1.000e-04 eta: 2:44:17 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 10.0620 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4956 loss: 1.4956 2022/06/30 18:07:02 - mmengine - INFO - Epoch(train) [91][1660/3757] lr: 1.000e-04 eta: 2:44:12 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 9.6860 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8061 loss: 0.8061 2022/06/30 18:07:08 - mmengine - INFO - Epoch(train) [91][1680/3757] lr: 1.000e-04 eta: 2:44:06 time: 0.276 data_time: 0.036 memory: 6404 grad_norm: 9.5956 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3539 loss: 1.3539 2022/06/30 18:07:13 - mmengine - INFO - Epoch(train) [91][1700/3757] lr: 1.000e-04 eta: 2:44:01 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 11.3010 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7995 loss: 0.7995 2022/06/30 18:07:19 - mmengine - INFO - Epoch(train) [91][1720/3757] lr: 1.000e-04 eta: 2:43:55 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 7.5407 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1201 loss: 1.1201 2022/06/30 18:07:24 - mmengine - INFO - Epoch(train) [91][1740/3757] lr: 1.000e-04 eta: 2:43:50 time: 0.260 data_time: 0.043 memory: 6404 grad_norm: 8.1584 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8488 loss: 0.8488 2022/06/30 18:07:30 - mmengine - INFO - Epoch(train) [91][1760/3757] lr: 1.000e-04 eta: 2:43:44 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 10.2073 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8591 loss: 0.8591 2022/06/30 18:07:35 - mmengine - INFO - Epoch(train) [91][1780/3757] lr: 1.000e-04 eta: 2:43:39 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 8.0658 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0352 loss: 1.0352 2022/06/30 18:07:41 - mmengine - INFO - Epoch(train) [91][1800/3757] lr: 1.000e-04 eta: 2:43:34 time: 0.651 data_time: 0.459 memory: 6404 grad_norm: 8.0914 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1737 loss: 1.1737 2022/06/30 18:07:47 - mmengine - INFO - Epoch(train) [91][1820/3757] lr: 1.000e-04 eta: 2:43:28 time: 0.370 data_time: 0.007 memory: 6404 grad_norm: 10.9825 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1578 loss: 1.1578 2022/06/30 18:07:52 - mmengine - INFO - Epoch(train) [91][1840/3757] lr: 1.000e-04 eta: 2:43:23 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 8.3316 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0743 loss: 1.0743 2022/06/30 18:07:57 - mmengine - INFO - Epoch(train) [91][1860/3757] lr: 1.000e-04 eta: 2:43:17 time: 0.249 data_time: 0.034 memory: 6404 grad_norm: 8.4295 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0597 loss: 1.0597 2022/06/30 18:08:00 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 18:08:03 - mmengine - INFO - Epoch(train) [91][1880/3757] lr: 1.000e-04 eta: 2:43:12 time: 0.261 data_time: 0.011 memory: 6404 grad_norm: 10.1350 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0505 loss: 1.0505 2022/06/30 18:08:08 - mmengine - INFO - Epoch(train) [91][1900/3757] lr: 1.000e-04 eta: 2:43:06 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 8.3505 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0290 loss: 1.0290 2022/06/30 18:08:13 - mmengine - INFO - Epoch(train) [91][1920/3757] lr: 1.000e-04 eta: 2:43:01 time: 0.267 data_time: 0.044 memory: 6404 grad_norm: 9.4084 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9256 loss: 0.9256 2022/06/30 18:08:19 - mmengine - INFO - Epoch(train) [91][1940/3757] lr: 1.000e-04 eta: 2:42:55 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 8.4265 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8128 loss: 0.8128 2022/06/30 18:08:24 - mmengine - INFO - Epoch(train) [91][1960/3757] lr: 1.000e-04 eta: 2:42:50 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 10.0580 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9091 loss: 0.9091 2022/06/30 18:08:30 - mmengine - INFO - Epoch(train) [91][1980/3757] lr: 1.000e-04 eta: 2:42:44 time: 0.266 data_time: 0.030 memory: 6404 grad_norm: 11.3964 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9237 loss: 0.9237 2022/06/30 18:08:35 - mmengine - INFO - Epoch(train) [91][2000/3757] lr: 1.000e-04 eta: 2:42:38 time: 0.260 data_time: 0.012 memory: 6404 grad_norm: 8.3451 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2722 loss: 1.2722 2022/06/30 18:08:40 - mmengine - INFO - Epoch(train) [91][2020/3757] lr: 1.000e-04 eta: 2:42:33 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 10.9429 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8187 loss: 0.8187 2022/06/30 18:08:45 - mmengine - INFO - Epoch(train) [91][2040/3757] lr: 1.000e-04 eta: 2:42:27 time: 0.254 data_time: 0.021 memory: 6404 grad_norm: 8.5397 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8047 loss: 0.8047 2022/06/30 18:08:51 - mmengine - INFO - Epoch(train) [91][2060/3757] lr: 1.000e-04 eta: 2:42:22 time: 0.260 data_time: 0.016 memory: 6404 grad_norm: 7.7619 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8812 loss: 0.8812 2022/06/30 18:08:56 - mmengine - INFO - Epoch(train) [91][2080/3757] lr: 1.000e-04 eta: 2:42:16 time: 0.255 data_time: 0.012 memory: 6404 grad_norm: 8.1079 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0359 loss: 1.0359 2022/06/30 18:09:01 - mmengine - INFO - Epoch(train) [91][2100/3757] lr: 1.000e-04 eta: 2:42:11 time: 0.258 data_time: 0.021 memory: 6404 grad_norm: 8.5344 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0248 loss: 1.0248 2022/06/30 18:09:07 - mmengine - INFO - Epoch(train) [91][2120/3757] lr: 1.000e-04 eta: 2:42:05 time: 0.269 data_time: 0.008 memory: 6404 grad_norm: 7.7958 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1781 loss: 1.1781 2022/06/30 18:09:13 - mmengine - INFO - Epoch(train) [91][2140/3757] lr: 1.000e-04 eta: 2:42:00 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 9.6109 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9086 loss: 0.9086 2022/06/30 18:09:19 - mmengine - INFO - Epoch(train) [91][2160/3757] lr: 1.000e-04 eta: 2:41:55 time: 0.259 data_time: 0.025 memory: 6404 grad_norm: 8.6044 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9220 loss: 0.9220 2022/06/30 18:09:24 - mmengine - INFO - Epoch(train) [91][2180/3757] lr: 1.000e-04 eta: 2:41:49 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 9.0472 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1763 loss: 1.1763 2022/06/30 18:09:30 - mmengine - INFO - Epoch(train) [91][2200/3757] lr: 1.000e-04 eta: 2:41:44 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 9.4638 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9897 loss: 0.9897 2022/06/30 18:09:35 - mmengine - INFO - Epoch(train) [91][2220/3757] lr: 1.000e-04 eta: 2:41:38 time: 0.270 data_time: 0.036 memory: 6404 grad_norm: 9.1219 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8677 loss: 0.8677 2022/06/30 18:09:40 - mmengine - INFO - Epoch(train) [91][2240/3757] lr: 1.000e-04 eta: 2:41:33 time: 0.253 data_time: 0.021 memory: 6404 grad_norm: 10.0012 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8648 loss: 0.8648 2022/06/30 18:09:46 - mmengine - INFO - Epoch(train) [91][2260/3757] lr: 1.000e-04 eta: 2:41:27 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 6.9727 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1186 loss: 1.1186 2022/06/30 18:09:51 - mmengine - INFO - Epoch(train) [91][2280/3757] lr: 1.000e-04 eta: 2:41:22 time: 0.262 data_time: 0.027 memory: 6404 grad_norm: 8.3937 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0304 loss: 1.0304 2022/06/30 18:09:57 - mmengine - INFO - Epoch(train) [91][2300/3757] lr: 1.000e-04 eta: 2:41:16 time: 0.266 data_time: 0.010 memory: 6404 grad_norm: 8.2420 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8115 loss: 0.8115 2022/06/30 18:10:02 - mmengine - INFO - Epoch(train) [91][2320/3757] lr: 1.000e-04 eta: 2:41:11 time: 0.243 data_time: 0.047 memory: 6404 grad_norm: 9.8842 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1199 loss: 1.1199 2022/06/30 18:10:09 - mmengine - INFO - Epoch(train) [91][2340/3757] lr: 1.000e-04 eta: 2:41:05 time: 0.289 data_time: 0.016 memory: 6404 grad_norm: 9.1569 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9309 loss: 0.9309 2022/06/30 18:10:14 - mmengine - INFO - Epoch(train) [91][2360/3757] lr: 1.000e-04 eta: 2:41:00 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 8.6977 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8781 loss: 0.8781 2022/06/30 18:10:19 - mmengine - INFO - Epoch(train) [91][2380/3757] lr: 1.000e-04 eta: 2:40:54 time: 0.252 data_time: 0.019 memory: 6404 grad_norm: 9.3082 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9728 loss: 0.9728 2022/06/30 18:10:25 - mmengine - INFO - Epoch(train) [91][2400/3757] lr: 1.000e-04 eta: 2:40:49 time: 0.266 data_time: 0.010 memory: 6404 grad_norm: 8.0259 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9168 loss: 0.9168 2022/06/30 18:10:30 - mmengine - INFO - Epoch(train) [91][2420/3757] lr: 1.000e-04 eta: 2:40:43 time: 0.255 data_time: 0.014 memory: 6404 grad_norm: 9.9656 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2523 loss: 1.2523 2022/06/30 18:10:35 - mmengine - INFO - Epoch(train) [91][2440/3757] lr: 1.000e-04 eta: 2:40:38 time: 0.261 data_time: 0.018 memory: 6404 grad_norm: 9.6472 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3469 loss: 1.3469 2022/06/30 18:10:41 - mmengine - INFO - Epoch(train) [91][2460/3757] lr: 1.000e-04 eta: 2:40:32 time: 0.261 data_time: 0.011 memory: 6404 grad_norm: 9.5477 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8946 loss: 0.8946 2022/06/30 18:10:46 - mmengine - INFO - Epoch(train) [91][2480/3757] lr: 1.000e-04 eta: 2:40:27 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 7.0139 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3805 loss: 1.3805 2022/06/30 18:10:52 - mmengine - INFO - Epoch(train) [91][2500/3757] lr: 1.000e-04 eta: 2:40:21 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 7.5084 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3092 loss: 1.3092 2022/06/30 18:10:57 - mmengine - INFO - Epoch(train) [91][2520/3757] lr: 1.000e-04 eta: 2:40:16 time: 0.269 data_time: 0.019 memory: 6404 grad_norm: 10.3160 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9552 loss: 0.9552 2022/06/30 18:11:02 - mmengine - INFO - Epoch(train) [91][2540/3757] lr: 1.000e-04 eta: 2:40:10 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 6.7828 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7343 loss: 0.7343 2022/06/30 18:11:08 - mmengine - INFO - Epoch(train) [91][2560/3757] lr: 1.000e-04 eta: 2:40:05 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 7.4186 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9478 loss: 0.9478 2022/06/30 18:11:13 - mmengine - INFO - Epoch(train) [91][2580/3757] lr: 1.000e-04 eta: 2:39:59 time: 0.268 data_time: 0.008 memory: 6404 grad_norm: 10.3017 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4175 loss: 1.4175 2022/06/30 18:11:19 - mmengine - INFO - Epoch(train) [91][2600/3757] lr: 1.000e-04 eta: 2:39:54 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 8.1450 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9779 loss: 0.9779 2022/06/30 18:11:24 - mmengine - INFO - Epoch(train) [91][2620/3757] lr: 1.000e-04 eta: 2:39:48 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 10.6238 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8658 loss: 0.8658 2022/06/30 18:11:30 - mmengine - INFO - Epoch(train) [91][2640/3757] lr: 1.000e-04 eta: 2:39:43 time: 0.267 data_time: 0.011 memory: 6404 grad_norm: 8.3100 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0956 loss: 1.0956 2022/06/30 18:11:36 - mmengine - INFO - Epoch(train) [91][2660/3757] lr: 1.000e-04 eta: 2:39:37 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 11.3820 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.8585 loss: 0.8585 2022/06/30 18:11:41 - mmengine - INFO - Epoch(train) [91][2680/3757] lr: 1.000e-04 eta: 2:39:32 time: 0.277 data_time: 0.013 memory: 6404 grad_norm: 10.9131 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1004 loss: 1.1004 2022/06/30 18:11:47 - mmengine - INFO - Epoch(train) [91][2700/3757] lr: 1.000e-04 eta: 2:39:26 time: 0.649 data_time: 0.011 memory: 6404 grad_norm: 8.4780 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0516 loss: 1.0516 2022/06/30 18:11:52 - mmengine - INFO - Epoch(train) [91][2720/3757] lr: 1.000e-04 eta: 2:39:21 time: 0.262 data_time: 0.012 memory: 6404 grad_norm: 9.6996 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9388 loss: 0.9388 2022/06/30 18:11:58 - mmengine - INFO - Epoch(train) [91][2740/3757] lr: 1.000e-04 eta: 2:39:15 time: 0.272 data_time: 0.011 memory: 6404 grad_norm: 8.3422 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9534 loss: 0.9534 2022/06/30 18:12:03 - mmengine - INFO - Epoch(train) [91][2760/3757] lr: 1.000e-04 eta: 2:39:10 time: 0.273 data_time: 0.007 memory: 6404 grad_norm: 9.5676 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1361 loss: 1.1361 2022/06/30 18:12:10 - mmengine - INFO - Epoch(train) [91][2780/3757] lr: 1.000e-04 eta: 2:39:04 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 7.7626 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9769 loss: 0.9769 2022/06/30 18:12:15 - mmengine - INFO - Epoch(train) [91][2800/3757] lr: 1.000e-04 eta: 2:38:59 time: 0.248 data_time: 0.013 memory: 6404 grad_norm: 10.1349 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0014 loss: 1.0014 2022/06/30 18:12:20 - mmengine - INFO - Epoch(train) [91][2820/3757] lr: 1.000e-04 eta: 2:38:53 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 9.9665 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0989 loss: 1.0989 2022/06/30 18:12:25 - mmengine - INFO - Epoch(train) [91][2840/3757] lr: 1.000e-04 eta: 2:38:48 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 12.2202 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8224 loss: 0.8224 2022/06/30 18:12:31 - mmengine - INFO - Epoch(train) [91][2860/3757] lr: 1.000e-04 eta: 2:38:42 time: 0.288 data_time: 0.007 memory: 6404 grad_norm: 10.0198 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0173 loss: 1.0173 2022/06/30 18:12:33 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 18:12:36 - mmengine - INFO - Epoch(train) [91][2880/3757] lr: 1.000e-04 eta: 2:38:37 time: 0.252 data_time: 0.017 memory: 6404 grad_norm: 9.8552 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0950 loss: 1.0950 2022/06/30 18:12:41 - mmengine - INFO - Epoch(train) [91][2900/3757] lr: 1.000e-04 eta: 2:38:31 time: 0.260 data_time: 0.009 memory: 6404 grad_norm: 9.7071 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5517 loss: 1.5517 2022/06/30 18:12:47 - mmengine - INFO - Epoch(train) [91][2920/3757] lr: 1.000e-04 eta: 2:38:26 time: 0.434 data_time: 0.011 memory: 6404 grad_norm: 9.7002 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0607 loss: 1.0607 2022/06/30 18:12:53 - mmengine - INFO - Epoch(train) [91][2940/3757] lr: 1.000e-04 eta: 2:38:20 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 8.2959 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1560 loss: 1.1560 2022/06/30 18:12:59 - mmengine - INFO - Epoch(train) [91][2960/3757] lr: 1.000e-04 eta: 2:38:15 time: 0.262 data_time: 0.010 memory: 6404 grad_norm: 10.5668 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9234 loss: 0.9234 2022/06/30 18:13:05 - mmengine - INFO - Epoch(train) [91][2980/3757] lr: 1.000e-04 eta: 2:38:10 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 6.3129 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9550 loss: 0.9550 2022/06/30 18:13:11 - mmengine - INFO - Epoch(train) [91][3000/3757] lr: 1.000e-04 eta: 2:38:04 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 10.8092 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8887 loss: 0.8887 2022/06/30 18:13:16 - mmengine - INFO - Epoch(train) [91][3020/3757] lr: 1.000e-04 eta: 2:37:59 time: 0.290 data_time: 0.008 memory: 6404 grad_norm: 11.1734 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0251 loss: 1.0251 2022/06/30 18:13:21 - mmengine - INFO - Epoch(train) [91][3040/3757] lr: 1.000e-04 eta: 2:37:53 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 8.2280 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0364 loss: 1.0364 2022/06/30 18:13:27 - mmengine - INFO - Epoch(train) [91][3060/3757] lr: 1.000e-04 eta: 2:37:48 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 10.6497 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0104 loss: 1.0104 2022/06/30 18:13:32 - mmengine - INFO - Epoch(train) [91][3080/3757] lr: 1.000e-04 eta: 2:37:42 time: 0.256 data_time: 0.030 memory: 6404 grad_norm: 9.0357 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0993 loss: 1.0993 2022/06/30 18:13:37 - mmengine - INFO - Epoch(train) [91][3100/3757] lr: 1.000e-04 eta: 2:37:37 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 9.2257 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9640 loss: 0.9640 2022/06/30 18:13:43 - mmengine - INFO - Epoch(train) [91][3120/3757] lr: 1.000e-04 eta: 2:37:31 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 7.4449 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9477 loss: 0.9477 2022/06/30 18:13:48 - mmengine - INFO - Epoch(train) [91][3140/3757] lr: 1.000e-04 eta: 2:37:26 time: 0.249 data_time: 0.017 memory: 6404 grad_norm: 9.3383 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8738 loss: 0.8738 2022/06/30 18:13:55 - mmengine - INFO - Epoch(train) [91][3160/3757] lr: 1.000e-04 eta: 2:37:20 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 6.3023 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7883 loss: 0.7883 2022/06/30 18:14:00 - mmengine - INFO - Epoch(train) [91][3180/3757] lr: 1.000e-04 eta: 2:37:15 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 9.6620 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9198 loss: 0.9198 2022/06/30 18:14:05 - mmengine - INFO - Epoch(train) [91][3200/3757] lr: 1.000e-04 eta: 2:37:09 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 9.0053 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9204 loss: 0.9204 2022/06/30 18:14:10 - mmengine - INFO - Epoch(train) [91][3220/3757] lr: 1.000e-04 eta: 2:37:04 time: 0.255 data_time: 0.014 memory: 6404 grad_norm: 9.1500 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2541 loss: 1.2541 2022/06/30 18:14:16 - mmengine - INFO - Epoch(train) [91][3240/3757] lr: 1.000e-04 eta: 2:36:58 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.4499 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0938 loss: 1.0938 2022/06/30 18:14:21 - mmengine - INFO - Epoch(train) [91][3260/3757] lr: 1.000e-04 eta: 2:36:53 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 7.3676 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8810 loss: 0.8810 2022/06/30 18:14:26 - mmengine - INFO - Epoch(train) [91][3280/3757] lr: 1.000e-04 eta: 2:36:47 time: 0.257 data_time: 0.015 memory: 6404 grad_norm: 10.0185 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8979 loss: 0.8979 2022/06/30 18:14:32 - mmengine - INFO - Epoch(train) [91][3300/3757] lr: 1.000e-04 eta: 2:36:42 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 9.0921 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2926 loss: 1.2926 2022/06/30 18:14:38 - mmengine - INFO - Epoch(train) [91][3320/3757] lr: 1.000e-04 eta: 2:36:36 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 8.0654 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0108 loss: 1.0108 2022/06/30 18:14:43 - mmengine - INFO - Epoch(train) [91][3340/3757] lr: 1.000e-04 eta: 2:36:31 time: 0.248 data_time: 0.055 memory: 6404 grad_norm: 8.6154 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2534 loss: 1.2534 2022/06/30 18:14:50 - mmengine - INFO - Epoch(train) [91][3360/3757] lr: 1.000e-04 eta: 2:36:25 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 9.2813 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7586 loss: 0.7586 2022/06/30 18:14:56 - mmengine - INFO - Epoch(train) [91][3380/3757] lr: 1.000e-04 eta: 2:36:20 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 9.5723 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2544 loss: 1.2544 2022/06/30 18:15:01 - mmengine - INFO - Epoch(train) [91][3400/3757] lr: 1.000e-04 eta: 2:36:14 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.3306 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2098 loss: 1.2098 2022/06/30 18:15:06 - mmengine - INFO - Epoch(train) [91][3420/3757] lr: 1.000e-04 eta: 2:36:09 time: 0.256 data_time: 0.013 memory: 6404 grad_norm: 7.4140 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0897 loss: 1.0897 2022/06/30 18:15:12 - mmengine - INFO - Epoch(train) [91][3440/3757] lr: 1.000e-04 eta: 2:36:03 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 10.4415 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9766 loss: 0.9766 2022/06/30 18:15:17 - mmengine - INFO - Epoch(train) [91][3460/3757] lr: 1.000e-04 eta: 2:35:58 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 9.9387 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9773 loss: 0.9773 2022/06/30 18:15:22 - mmengine - INFO - Epoch(train) [91][3480/3757] lr: 1.000e-04 eta: 2:35:52 time: 0.282 data_time: 0.007 memory: 6404 grad_norm: 9.0616 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1253 loss: 1.1253 2022/06/30 18:15:29 - mmengine - INFO - Epoch(train) [91][3500/3757] lr: 1.000e-04 eta: 2:35:47 time: 0.263 data_time: 0.015 memory: 6404 grad_norm: 8.8413 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7552 loss: 0.7552 2022/06/30 18:15:34 - mmengine - INFO - Epoch(train) [91][3520/3757] lr: 1.000e-04 eta: 2:35:41 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 7.5948 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1594 loss: 1.1594 2022/06/30 18:15:39 - mmengine - INFO - Epoch(train) [91][3540/3757] lr: 1.000e-04 eta: 2:35:36 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 10.3655 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.0776 loss: 1.0776 2022/06/30 18:15:44 - mmengine - INFO - Epoch(train) [91][3560/3757] lr: 1.000e-04 eta: 2:35:30 time: 0.261 data_time: 0.019 memory: 6404 grad_norm: 8.4893 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3431 loss: 1.3431 2022/06/30 18:15:50 - mmengine - INFO - Epoch(train) [91][3580/3757] lr: 1.000e-04 eta: 2:35:25 time: 0.243 data_time: 0.019 memory: 6404 grad_norm: 12.2678 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1251 loss: 1.1251 2022/06/30 18:15:56 - mmengine - INFO - Epoch(train) [91][3600/3757] lr: 1.000e-04 eta: 2:35:20 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 10.4451 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6297 loss: 0.6297 2022/06/30 18:16:02 - mmengine - INFO - Epoch(train) [91][3620/3757] lr: 1.000e-04 eta: 2:35:14 time: 0.265 data_time: 0.014 memory: 6404 grad_norm: 10.3750 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0816 loss: 1.0816 2022/06/30 18:16:08 - mmengine - INFO - Epoch(train) [91][3640/3757] lr: 1.000e-04 eta: 2:35:09 time: 0.322 data_time: 0.089 memory: 6404 grad_norm: 8.2036 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2194 loss: 1.2194 2022/06/30 18:16:13 - mmengine - INFO - Epoch(train) [91][3660/3757] lr: 1.000e-04 eta: 2:35:03 time: 0.305 data_time: 0.012 memory: 6404 grad_norm: 10.9220 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9595 loss: 0.9595 2022/06/30 18:16:18 - mmengine - INFO - Epoch(train) [91][3680/3757] lr: 1.000e-04 eta: 2:34:58 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 7.7921 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2222 loss: 1.2222 2022/06/30 18:16:24 - mmengine - INFO - Epoch(train) [91][3700/3757] lr: 1.000e-04 eta: 2:34:52 time: 0.269 data_time: 0.058 memory: 6404 grad_norm: 8.1762 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.1910 loss: 1.1910 2022/06/30 18:16:30 - mmengine - INFO - Epoch(train) [91][3720/3757] lr: 1.000e-04 eta: 2:34:47 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 7.1501 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9533 loss: 0.9533 2022/06/30 18:16:35 - mmengine - INFO - Epoch(train) [91][3740/3757] lr: 1.000e-04 eta: 2:34:41 time: 0.235 data_time: 0.006 memory: 6404 grad_norm: 7.9391 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0624 loss: 1.0624 2022/06/30 18:16:39 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 18:16:47 - mmengine - INFO - Epoch(val) [91][20/310] eta: 0:01:28 time: 0.511 data_time: 0.428 memory: 6404 2022/06/30 18:16:53 - mmengine - INFO - Epoch(val) [91][40/310] eta: 0:01:20 time: 0.084 data_time: 0.007 memory: 1479 2022/06/30 18:16:57 - mmengine - INFO - Epoch(val) [91][60/310] eta: 0:00:28 time: 0.082 data_time: 0.006 memory: 1479 2022/06/30 18:17:03 - mmengine - INFO - Epoch(val) [91][80/310] eta: 0:01:12 time: 0.124 data_time: 0.042 memory: 1479 2022/06/30 18:17:08 - mmengine - INFO - Epoch(val) [91][100/310] eta: 0:00:55 time: 0.084 data_time: 0.009 memory: 1479 2022/06/30 18:17:13 - mmengine - INFO - Epoch(val) [91][120/310] eta: 0:00:45 time: 0.082 data_time: 0.007 memory: 1479 2022/06/30 18:17:19 - mmengine - INFO - Epoch(val) [91][140/310] eta: 0:00:55 time: 1.283 data_time: 1.196 memory: 1479 2022/06/30 18:17:24 - mmengine - INFO - Epoch(val) [91][160/310] eta: 0:00:46 time: 0.492 data_time: 0.416 memory: 1479 2022/06/30 18:17:29 - mmengine - INFO - Epoch(val) [91][180/310] eta: 0:00:30 time: 0.091 data_time: 0.007 memory: 1479 2022/06/30 18:17:35 - mmengine - INFO - Epoch(val) [91][200/310] eta: 0:00:33 time: 1.305 data_time: 1.225 memory: 1479 2022/06/30 18:17:40 - mmengine - INFO - Epoch(val) [91][220/310] eta: 0:00:31 time: 0.089 data_time: 0.005 memory: 1479 2022/06/30 18:17:45 - mmengine - INFO - Epoch(val) [91][240/310] eta: 0:00:19 time: 0.083 data_time: 0.008 memory: 1479 2022/06/30 18:17:50 - mmengine - INFO - Epoch(val) [91][260/310] eta: 0:00:14 time: 0.636 data_time: 0.558 memory: 1479 2022/06/30 18:17:56 - mmengine - INFO - Epoch(val) [91][280/310] eta: 0:00:09 time: 0.083 data_time: 0.005 memory: 1479 2022/06/30 18:18:00 - mmengine - INFO - Epoch(val) [91][300/310] eta: 0:00:02 time: 0.081 data_time: 0.007 memory: 1479 2022/06/30 18:18:03 - mmengine - INFO - Epoch(val) [91][310/310] acc/top1: 0.6770 acc/top5: 0.8716 acc/mean1: 0.6768 2022/06/30 18:18:12 - mmengine - INFO - Epoch(train) [92][20/3757] lr: 1.000e-04 eta: 2:34:31 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 9.8870 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2123 loss: 1.2123 2022/06/30 18:18:18 - mmengine - INFO - Epoch(train) [92][40/3757] lr: 1.000e-04 eta: 2:34:26 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 9.2740 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0587 loss: 1.0587 2022/06/30 18:18:23 - mmengine - INFO - Epoch(train) [92][60/3757] lr: 1.000e-04 eta: 2:34:20 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 10.0028 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0408 loss: 1.0408 2022/06/30 18:18:29 - mmengine - INFO - Epoch(train) [92][80/3757] lr: 1.000e-04 eta: 2:34:15 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 9.4894 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9830 loss: 0.9830 2022/06/30 18:18:34 - mmengine - INFO - Epoch(train) [92][100/3757] lr: 1.000e-04 eta: 2:34:09 time: 0.388 data_time: 0.011 memory: 6404 grad_norm: 7.7564 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9815 loss: 0.9815 2022/06/30 18:18:38 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 18:18:40 - mmengine - INFO - Epoch(train) [92][120/3757] lr: 1.000e-04 eta: 2:34:04 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 7.9876 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7999 loss: 0.7999 2022/06/30 18:18:45 - mmengine - INFO - Epoch(train) [92][140/3757] lr: 1.000e-04 eta: 2:33:58 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 10.0549 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0467 loss: 1.0467 2022/06/30 18:18:51 - mmengine - INFO - Epoch(train) [92][160/3757] lr: 1.000e-04 eta: 2:33:53 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 9.3676 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3667 loss: 1.3667 2022/06/30 18:18:56 - mmengine - INFO - Epoch(train) [92][180/3757] lr: 1.000e-04 eta: 2:33:47 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 7.8748 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1051 loss: 1.1051 2022/06/30 18:19:02 - mmengine - INFO - Epoch(train) [92][200/3757] lr: 1.000e-04 eta: 2:33:42 time: 0.244 data_time: 0.016 memory: 6404 grad_norm: 10.1719 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7993 loss: 0.7993 2022/06/30 18:19:08 - mmengine - INFO - Epoch(train) [92][220/3757] lr: 1.000e-04 eta: 2:33:36 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 10.2291 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0099 loss: 1.0099 2022/06/30 18:19:13 - mmengine - INFO - Epoch(train) [92][240/3757] lr: 1.000e-04 eta: 2:33:31 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 7.6988 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8552 loss: 0.8552 2022/06/30 18:19:19 - mmengine - INFO - Epoch(train) [92][260/3757] lr: 1.000e-04 eta: 2:33:25 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 9.8964 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0692 loss: 1.0692 2022/06/30 18:19:24 - mmengine - INFO - Epoch(train) [92][280/3757] lr: 1.000e-04 eta: 2:33:20 time: 0.235 data_time: 0.012 memory: 6404 grad_norm: 11.0300 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9915 loss: 0.9915 2022/06/30 18:19:30 - mmengine - INFO - Epoch(train) [92][300/3757] lr: 1.000e-04 eta: 2:33:14 time: 0.262 data_time: 0.010 memory: 6404 grad_norm: 8.4633 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8396 loss: 0.8396 2022/06/30 18:19:35 - mmengine - INFO - Epoch(train) [92][320/3757] lr: 1.000e-04 eta: 2:33:09 time: 0.250 data_time: 0.018 memory: 6404 grad_norm: 9.1262 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0951 loss: 1.0951 2022/06/30 18:19:41 - mmengine - INFO - Epoch(train) [92][340/3757] lr: 1.000e-04 eta: 2:33:03 time: 0.245 data_time: 0.015 memory: 6404 grad_norm: 7.6957 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0020 loss: 1.0020 2022/06/30 18:19:47 - mmengine - INFO - Epoch(train) [92][360/3757] lr: 1.000e-04 eta: 2:32:58 time: 0.266 data_time: 0.011 memory: 6404 grad_norm: 7.2735 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2957 loss: 1.2957 2022/06/30 18:19:52 - mmengine - INFO - Epoch(train) [92][380/3757] lr: 1.000e-04 eta: 2:32:52 time: 0.248 data_time: 0.013 memory: 6404 grad_norm: 9.4344 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9331 loss: 0.9331 2022/06/30 18:19:57 - mmengine - INFO - Epoch(train) [92][400/3757] lr: 1.000e-04 eta: 2:32:47 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 10.4503 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1189 loss: 1.1189 2022/06/30 18:20:03 - mmengine - INFO - Epoch(train) [92][420/3757] lr: 1.000e-04 eta: 2:32:41 time: 0.265 data_time: 0.013 memory: 6404 grad_norm: 10.7189 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0517 loss: 1.0517 2022/06/30 18:20:08 - mmengine - INFO - Epoch(train) [92][440/3757] lr: 1.000e-04 eta: 2:32:36 time: 0.260 data_time: 0.023 memory: 6404 grad_norm: 10.1200 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7687 loss: 0.7687 2022/06/30 18:20:14 - mmengine - INFO - Epoch(train) [92][460/3757] lr: 1.000e-04 eta: 2:32:30 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 6.6018 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9740 loss: 0.9740 2022/06/30 18:20:20 - mmengine - INFO - Epoch(train) [92][480/3757] lr: 1.000e-04 eta: 2:32:25 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 7.6257 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8025 loss: 0.8025 2022/06/30 18:20:26 - mmengine - INFO - Epoch(train) [92][500/3757] lr: 1.000e-04 eta: 2:32:20 time: 0.260 data_time: 0.017 memory: 6404 grad_norm: 8.6715 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8134 loss: 0.8134 2022/06/30 18:20:31 - mmengine - INFO - Epoch(train) [92][520/3757] lr: 1.000e-04 eta: 2:32:14 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 6.1933 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0742 loss: 1.0742 2022/06/30 18:20:36 - mmengine - INFO - Epoch(train) [92][540/3757] lr: 1.000e-04 eta: 2:32:09 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 10.1692 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0591 loss: 1.0591 2022/06/30 18:20:42 - mmengine - INFO - Epoch(train) [92][560/3757] lr: 1.000e-04 eta: 2:32:03 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 8.6424 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1122 loss: 1.1122 2022/06/30 18:20:47 - mmengine - INFO - Epoch(train) [92][580/3757] lr: 1.000e-04 eta: 2:31:58 time: 0.257 data_time: 0.020 memory: 6404 grad_norm: 10.3471 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6573 loss: 0.6573 2022/06/30 18:20:52 - mmengine - INFO - Epoch(train) [92][600/3757] lr: 1.000e-04 eta: 2:31:52 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 10.5272 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0372 loss: 1.0372 2022/06/30 18:20:58 - mmengine - INFO - Epoch(train) [92][620/3757] lr: 1.000e-04 eta: 2:31:47 time: 0.379 data_time: 0.011 memory: 6404 grad_norm: 7.6036 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0041 loss: 1.0041 2022/06/30 18:21:03 - mmengine - INFO - Epoch(train) [92][640/3757] lr: 1.000e-04 eta: 2:31:41 time: 0.256 data_time: 0.020 memory: 6404 grad_norm: 9.5920 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6897 loss: 0.6897 2022/06/30 18:21:09 - mmengine - INFO - Epoch(train) [92][660/3757] lr: 1.000e-04 eta: 2:31:36 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 8.6272 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7666 loss: 0.7666 2022/06/30 18:21:14 - mmengine - INFO - Epoch(train) [92][680/3757] lr: 1.000e-04 eta: 2:31:30 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 8.6498 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1681 loss: 1.1681 2022/06/30 18:21:20 - mmengine - INFO - Epoch(train) [92][700/3757] lr: 1.000e-04 eta: 2:31:25 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 9.7866 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9230 loss: 0.9230 2022/06/30 18:21:25 - mmengine - INFO - Epoch(train) [92][720/3757] lr: 1.000e-04 eta: 2:31:19 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 7.2064 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7003 loss: 0.7003 2022/06/30 18:21:32 - mmengine - INFO - Epoch(train) [92][740/3757] lr: 1.000e-04 eta: 2:31:14 time: 0.263 data_time: 0.011 memory: 6404 grad_norm: 7.6103 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7763 loss: 0.7763 2022/06/30 18:21:37 - mmengine - INFO - Epoch(train) [92][760/3757] lr: 1.000e-04 eta: 2:31:08 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 9.3924 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8923 loss: 0.8923 2022/06/30 18:21:43 - mmengine - INFO - Epoch(train) [92][780/3757] lr: 1.000e-04 eta: 2:31:03 time: 0.271 data_time: 0.010 memory: 6404 grad_norm: 10.2837 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1069 loss: 1.1069 2022/06/30 18:21:48 - mmengine - INFO - Epoch(train) [92][800/3757] lr: 1.000e-04 eta: 2:30:57 time: 0.765 data_time: 0.014 memory: 6404 grad_norm: 7.7548 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8948 loss: 0.8948 2022/06/30 18:21:54 - mmengine - INFO - Epoch(train) [92][820/3757] lr: 1.000e-04 eta: 2:30:52 time: 0.255 data_time: 0.021 memory: 6404 grad_norm: 8.8580 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8994 loss: 0.8994 2022/06/30 18:21:59 - mmengine - INFO - Epoch(train) [92][840/3757] lr: 1.000e-04 eta: 2:30:46 time: 0.252 data_time: 0.015 memory: 6404 grad_norm: 9.8376 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0821 loss: 1.0821 2022/06/30 18:22:04 - mmengine - INFO - Epoch(train) [92][860/3757] lr: 1.000e-04 eta: 2:30:41 time: 0.248 data_time: 0.016 memory: 6404 grad_norm: 9.3269 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7241 loss: 0.7241 2022/06/30 18:22:10 - mmengine - INFO - Epoch(train) [92][880/3757] lr: 1.000e-04 eta: 2:30:35 time: 0.250 data_time: 0.019 memory: 6404 grad_norm: 11.0304 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2517 loss: 1.2517 2022/06/30 18:22:15 - mmengine - INFO - Epoch(train) [92][900/3757] lr: 1.000e-04 eta: 2:30:30 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 10.9986 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2376 loss: 1.2376 2022/06/30 18:22:20 - mmengine - INFO - Epoch(train) [92][920/3757] lr: 1.000e-04 eta: 2:30:24 time: 0.264 data_time: 0.017 memory: 6404 grad_norm: 10.2838 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9482 loss: 0.9482 2022/06/30 18:22:25 - mmengine - INFO - Epoch(train) [92][940/3757] lr: 1.000e-04 eta: 2:30:19 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 8.9381 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3523 loss: 1.3523 2022/06/30 18:22:31 - mmengine - INFO - Epoch(train) [92][960/3757] lr: 1.000e-04 eta: 2:30:13 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 8.4531 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7419 loss: 0.7419 2022/06/30 18:22:36 - mmengine - INFO - Epoch(train) [92][980/3757] lr: 1.000e-04 eta: 2:30:08 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 11.0973 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1672 loss: 1.1672 2022/06/30 18:22:42 - mmengine - INFO - Epoch(train) [92][1000/3757] lr: 1.000e-04 eta: 2:30:02 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 9.5660 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9088 loss: 0.9088 2022/06/30 18:22:47 - mmengine - INFO - Epoch(train) [92][1020/3757] lr: 1.000e-04 eta: 2:29:57 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 8.9582 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8492 loss: 0.8492 2022/06/30 18:22:53 - mmengine - INFO - Epoch(train) [92][1040/3757] lr: 1.000e-04 eta: 2:29:51 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 9.6071 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8924 loss: 0.8924 2022/06/30 18:22:58 - mmengine - INFO - Epoch(train) [92][1060/3757] lr: 1.000e-04 eta: 2:29:46 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 8.5721 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3242 loss: 1.3242 2022/06/30 18:23:03 - mmengine - INFO - Epoch(train) [92][1080/3757] lr: 1.000e-04 eta: 2:29:40 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 10.0468 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2000 loss: 1.2000 2022/06/30 18:23:09 - mmengine - INFO - Epoch(train) [92][1100/3757] lr: 1.000e-04 eta: 2:29:35 time: 0.282 data_time: 0.007 memory: 6404 grad_norm: 10.1337 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0620 loss: 1.0620 2022/06/30 18:23:12 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 18:23:14 - mmengine - INFO - Epoch(train) [92][1120/3757] lr: 1.000e-04 eta: 2:29:29 time: 0.251 data_time: 0.014 memory: 6404 grad_norm: 7.9394 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0876 loss: 1.0876 2022/06/30 18:23:20 - mmengine - INFO - Epoch(train) [92][1140/3757] lr: 1.000e-04 eta: 2:29:24 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 8.2291 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0688 loss: 1.0688 2022/06/30 18:23:25 - mmengine - INFO - Epoch(train) [92][1160/3757] lr: 1.000e-04 eta: 2:29:18 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 9.6075 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9459 loss: 0.9459 2022/06/30 18:23:31 - mmengine - INFO - Epoch(train) [92][1180/3757] lr: 1.000e-04 eta: 2:29:13 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 10.0356 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9237 loss: 0.9237 2022/06/30 18:23:36 - mmengine - INFO - Epoch(train) [92][1200/3757] lr: 1.000e-04 eta: 2:29:07 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 11.1021 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3733 loss: 1.3733 2022/06/30 18:23:42 - mmengine - INFO - Epoch(train) [92][1220/3757] lr: 1.000e-04 eta: 2:29:02 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 10.4209 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1158 loss: 1.1158 2022/06/30 18:23:47 - mmengine - INFO - Epoch(train) [92][1240/3757] lr: 1.000e-04 eta: 2:28:56 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 10.7476 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0205 loss: 1.0205 2022/06/30 18:23:53 - mmengine - INFO - Epoch(train) [92][1260/3757] lr: 1.000e-04 eta: 2:28:51 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 8.2712 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1316 loss: 1.1316 2022/06/30 18:23:58 - mmengine - INFO - Epoch(train) [92][1280/3757] lr: 1.000e-04 eta: 2:28:45 time: 0.439 data_time: 0.007 memory: 6404 grad_norm: 9.0581 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9349 loss: 0.9349 2022/06/30 18:24:04 - mmengine - INFO - Epoch(train) [92][1300/3757] lr: 1.000e-04 eta: 2:28:40 time: 0.269 data_time: 0.010 memory: 6404 grad_norm: 9.2001 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8623 loss: 0.8623 2022/06/30 18:24:09 - mmengine - INFO - Epoch(train) [92][1320/3757] lr: 1.000e-04 eta: 2:28:34 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 10.8892 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0326 loss: 1.0326 2022/06/30 18:24:14 - mmengine - INFO - Epoch(train) [92][1340/3757] lr: 1.000e-04 eta: 2:28:29 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 8.0405 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8613 loss: 0.8613 2022/06/30 18:24:20 - mmengine - INFO - Epoch(train) [92][1360/3757] lr: 1.000e-04 eta: 2:28:23 time: 0.275 data_time: 0.008 memory: 6404 grad_norm: 10.1856 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0846 loss: 1.0846 2022/06/30 18:24:25 - mmengine - INFO - Epoch(train) [92][1380/3757] lr: 1.000e-04 eta: 2:28:18 time: 0.270 data_time: 0.008 memory: 6404 grad_norm: 10.2055 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1151 loss: 1.1151 2022/06/30 18:24:31 - mmengine - INFO - Epoch(train) [92][1400/3757] lr: 1.000e-04 eta: 2:28:12 time: 0.278 data_time: 0.007 memory: 6404 grad_norm: 7.2099 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9718 loss: 0.9718 2022/06/30 18:24:36 - mmengine - INFO - Epoch(train) [92][1420/3757] lr: 1.000e-04 eta: 2:28:07 time: 0.276 data_time: 0.007 memory: 6404 grad_norm: 9.7156 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8318 loss: 0.8318 2022/06/30 18:24:41 - mmengine - INFO - Epoch(train) [92][1440/3757] lr: 1.000e-04 eta: 2:28:01 time: 0.280 data_time: 0.012 memory: 6404 grad_norm: 7.9606 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0954 loss: 1.0954 2022/06/30 18:24:47 - mmengine - INFO - Epoch(train) [92][1460/3757] lr: 1.000e-04 eta: 2:27:56 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 10.2755 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7755 loss: 0.7755 2022/06/30 18:24:52 - mmengine - INFO - Epoch(train) [92][1480/3757] lr: 1.000e-04 eta: 2:27:50 time: 0.317 data_time: 0.007 memory: 6404 grad_norm: 7.7903 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0166 loss: 1.0166 2022/06/30 18:24:58 - mmengine - INFO - Epoch(train) [92][1500/3757] lr: 1.000e-04 eta: 2:27:45 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 10.3883 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1933 loss: 1.1933 2022/06/30 18:25:03 - mmengine - INFO - Epoch(train) [92][1520/3757] lr: 1.000e-04 eta: 2:27:39 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 9.1938 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0616 loss: 1.0616 2022/06/30 18:25:09 - mmengine - INFO - Epoch(train) [92][1540/3757] lr: 1.000e-04 eta: 2:27:34 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 11.6392 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1298 loss: 1.1298 2022/06/30 18:25:15 - mmengine - INFO - Epoch(train) [92][1560/3757] lr: 1.000e-04 eta: 2:27:28 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 7.8142 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2361 loss: 1.2361 2022/06/30 18:25:20 - mmengine - INFO - Epoch(train) [92][1580/3757] lr: 1.000e-04 eta: 2:27:23 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 9.8475 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8960 loss: 0.8960 2022/06/30 18:25:25 - mmengine - INFO - Epoch(train) [92][1600/3757] lr: 1.000e-04 eta: 2:27:17 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.4920 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8600 loss: 0.8600 2022/06/30 18:25:31 - mmengine - INFO - Epoch(train) [92][1620/3757] lr: 1.000e-04 eta: 2:27:12 time: 0.329 data_time: 0.019 memory: 6404 grad_norm: 8.1472 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1138 loss: 1.1138 2022/06/30 18:25:36 - mmengine - INFO - Epoch(train) [92][1640/3757] lr: 1.000e-04 eta: 2:27:06 time: 0.264 data_time: 0.011 memory: 6404 grad_norm: 9.0890 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0011 loss: 1.0011 2022/06/30 18:25:42 - mmengine - INFO - Epoch(train) [92][1660/3757] lr: 1.000e-04 eta: 2:27:01 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 10.1957 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0069 loss: 1.0069 2022/06/30 18:25:47 - mmengine - INFO - Epoch(train) [92][1680/3757] lr: 1.000e-04 eta: 2:26:55 time: 0.249 data_time: 0.022 memory: 6404 grad_norm: 8.6051 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9289 loss: 0.9289 2022/06/30 18:25:53 - mmengine - INFO - Epoch(train) [92][1700/3757] lr: 1.000e-04 eta: 2:26:50 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 10.3420 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2045 loss: 1.2045 2022/06/30 18:25:58 - mmengine - INFO - Epoch(train) [92][1720/3757] lr: 1.000e-04 eta: 2:26:44 time: 0.298 data_time: 0.012 memory: 6404 grad_norm: 11.6680 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8689 loss: 0.8689 2022/06/30 18:26:03 - mmengine - INFO - Epoch(train) [92][1740/3757] lr: 1.000e-04 eta: 2:26:39 time: 0.281 data_time: 0.013 memory: 6404 grad_norm: 10.8367 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0728 loss: 1.0728 2022/06/30 18:26:09 - mmengine - INFO - Epoch(train) [92][1760/3757] lr: 1.000e-04 eta: 2:26:34 time: 0.259 data_time: 0.014 memory: 6404 grad_norm: 9.1700 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4039 loss: 1.4039 2022/06/30 18:26:14 - mmengine - INFO - Epoch(train) [92][1780/3757] lr: 1.000e-04 eta: 2:26:28 time: 0.276 data_time: 0.008 memory: 6404 grad_norm: 10.5790 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5308 loss: 1.5308 2022/06/30 18:26:20 - mmengine - INFO - Epoch(train) [92][1800/3757] lr: 1.000e-04 eta: 2:26:23 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 9.0607 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0106 loss: 1.0106 2022/06/30 18:26:25 - mmengine - INFO - Epoch(train) [92][1820/3757] lr: 1.000e-04 eta: 2:26:17 time: 0.278 data_time: 0.013 memory: 6404 grad_norm: 7.2164 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8465 loss: 0.8465 2022/06/30 18:26:31 - mmengine - INFO - Epoch(train) [92][1840/3757] lr: 1.000e-04 eta: 2:26:12 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 8.2478 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1354 loss: 1.1354 2022/06/30 18:26:37 - mmengine - INFO - Epoch(train) [92][1860/3757] lr: 1.000e-04 eta: 2:26:06 time: 0.692 data_time: 0.008 memory: 6404 grad_norm: 8.7395 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2078 loss: 1.2078 2022/06/30 18:26:42 - mmengine - INFO - Epoch(train) [92][1880/3757] lr: 1.000e-04 eta: 2:26:01 time: 0.261 data_time: 0.014 memory: 6404 grad_norm: 8.7995 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9357 loss: 0.9357 2022/06/30 18:26:48 - mmengine - INFO - Epoch(train) [92][1900/3757] lr: 1.000e-04 eta: 2:25:55 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 9.2810 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8296 loss: 0.8296 2022/06/30 18:26:54 - mmengine - INFO - Epoch(train) [92][1920/3757] lr: 1.000e-04 eta: 2:25:50 time: 0.379 data_time: 0.012 memory: 6404 grad_norm: 8.0928 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8922 loss: 0.8922 2022/06/30 18:26:59 - mmengine - INFO - Epoch(train) [92][1940/3757] lr: 1.000e-04 eta: 2:25:44 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 8.7294 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9177 loss: 0.9177 2022/06/30 18:27:04 - mmengine - INFO - Epoch(train) [92][1960/3757] lr: 1.000e-04 eta: 2:25:39 time: 0.248 data_time: 0.013 memory: 6404 grad_norm: 7.7860 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1019 loss: 1.1019 2022/06/30 18:27:10 - mmengine - INFO - Epoch(train) [92][1980/3757] lr: 1.000e-04 eta: 2:25:33 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 8.6451 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9113 loss: 0.9113 2022/06/30 18:27:15 - mmengine - INFO - Epoch(train) [92][2000/3757] lr: 1.000e-04 eta: 2:25:28 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 7.7249 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7199 loss: 0.7199 2022/06/30 18:27:21 - mmengine - INFO - Epoch(train) [92][2020/3757] lr: 1.000e-04 eta: 2:25:22 time: 0.259 data_time: 0.025 memory: 6404 grad_norm: 7.9187 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1977 loss: 1.1977 2022/06/30 18:27:26 - mmengine - INFO - Epoch(train) [92][2040/3757] lr: 1.000e-04 eta: 2:25:17 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 8.1076 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8276 loss: 0.8276 2022/06/30 18:27:31 - mmengine - INFO - Epoch(train) [92][2060/3757] lr: 1.000e-04 eta: 2:25:11 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 9.8636 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2252 loss: 1.2252 2022/06/30 18:27:37 - mmengine - INFO - Epoch(train) [92][2080/3757] lr: 1.000e-04 eta: 2:25:06 time: 0.255 data_time: 0.015 memory: 6404 grad_norm: 11.0029 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1286 loss: 1.1286 2022/06/30 18:27:43 - mmengine - INFO - Epoch(train) [92][2100/3757] lr: 1.000e-04 eta: 2:25:00 time: 0.348 data_time: 0.016 memory: 6404 grad_norm: 10.1044 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9827 loss: 0.9827 2022/06/30 18:27:46 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 18:27:48 - mmengine - INFO - Epoch(train) [92][2120/3757] lr: 1.000e-04 eta: 2:24:55 time: 0.269 data_time: 0.020 memory: 6404 grad_norm: 6.2760 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9960 loss: 0.9960 2022/06/30 18:27:53 - mmengine - INFO - Epoch(train) [92][2140/3757] lr: 1.000e-04 eta: 2:24:49 time: 0.265 data_time: 0.012 memory: 6404 grad_norm: 8.8734 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8448 loss: 0.8448 2022/06/30 18:27:59 - mmengine - INFO - Epoch(train) [92][2160/3757] lr: 1.000e-04 eta: 2:24:44 time: 0.357 data_time: 0.014 memory: 6404 grad_norm: 9.2919 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9116 loss: 0.9116 2022/06/30 18:28:04 - mmengine - INFO - Epoch(train) [92][2180/3757] lr: 1.000e-04 eta: 2:24:38 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 12.1031 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8307 loss: 0.8307 2022/06/30 18:28:10 - mmengine - INFO - Epoch(train) [92][2200/3757] lr: 1.000e-04 eta: 2:24:33 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 9.1344 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1918 loss: 1.1918 2022/06/30 18:28:16 - mmengine - INFO - Epoch(train) [92][2220/3757] lr: 1.000e-04 eta: 2:24:27 time: 0.366 data_time: 0.007 memory: 6404 grad_norm: 7.6949 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0161 loss: 1.0161 2022/06/30 18:28:21 - mmengine - INFO - Epoch(train) [92][2240/3757] lr: 1.000e-04 eta: 2:24:22 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 8.1933 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5745 loss: 0.5745 2022/06/30 18:28:27 - mmengine - INFO - Epoch(train) [92][2260/3757] lr: 1.000e-04 eta: 2:24:16 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 8.9830 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9370 loss: 0.9370 2022/06/30 18:28:32 - mmengine - INFO - Epoch(train) [92][2280/3757] lr: 1.000e-04 eta: 2:24:11 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 9.5003 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1548 loss: 1.1548 2022/06/30 18:28:37 - mmengine - INFO - Epoch(train) [92][2300/3757] lr: 1.000e-04 eta: 2:24:05 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 10.4686 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6699 loss: 0.6699 2022/06/30 18:28:43 - mmengine - INFO - Epoch(train) [92][2320/3757] lr: 1.000e-04 eta: 2:24:00 time: 0.255 data_time: 0.017 memory: 6404 grad_norm: 9.0524 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8806 loss: 0.8806 2022/06/30 18:28:49 - mmengine - INFO - Epoch(train) [92][2340/3757] lr: 1.000e-04 eta: 2:23:54 time: 0.419 data_time: 0.007 memory: 6404 grad_norm: 8.4189 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8606 loss: 0.8606 2022/06/30 18:28:54 - mmengine - INFO - Epoch(train) [92][2360/3757] lr: 1.000e-04 eta: 2:23:49 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 8.7821 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9967 loss: 0.9967 2022/06/30 18:28:59 - mmengine - INFO - Epoch(train) [92][2380/3757] lr: 1.000e-04 eta: 2:23:43 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 9.0708 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0395 loss: 1.0395 2022/06/30 18:29:04 - mmengine - INFO - Epoch(train) [92][2400/3757] lr: 1.000e-04 eta: 2:23:38 time: 0.278 data_time: 0.018 memory: 6404 grad_norm: 8.7414 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9209 loss: 0.9209 2022/06/30 18:29:10 - mmengine - INFO - Epoch(train) [92][2420/3757] lr: 1.000e-04 eta: 2:23:32 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 7.9650 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6291 loss: 0.6291 2022/06/30 18:29:15 - mmengine - INFO - Epoch(train) [92][2440/3757] lr: 1.000e-04 eta: 2:23:27 time: 0.270 data_time: 0.010 memory: 6404 grad_norm: 9.3847 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0146 loss: 1.0146 2022/06/30 18:29:21 - mmengine - INFO - Epoch(train) [92][2460/3757] lr: 1.000e-04 eta: 2:23:21 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 8.5528 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9649 loss: 0.9649 2022/06/30 18:29:27 - mmengine - INFO - Epoch(train) [92][2480/3757] lr: 1.000e-04 eta: 2:23:16 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 8.6434 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9575 loss: 0.9575 2022/06/30 18:29:32 - mmengine - INFO - Epoch(train) [92][2500/3757] lr: 1.000e-04 eta: 2:23:10 time: 0.273 data_time: 0.008 memory: 6404 grad_norm: 9.3721 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2098 loss: 1.2098 2022/06/30 18:29:38 - mmengine - INFO - Epoch(train) [92][2520/3757] lr: 1.000e-04 eta: 2:23:05 time: 0.265 data_time: 0.016 memory: 6404 grad_norm: 9.3307 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6795 loss: 0.6795 2022/06/30 18:29:43 - mmengine - INFO - Epoch(train) [92][2540/3757] lr: 1.000e-04 eta: 2:22:59 time: 0.260 data_time: 0.018 memory: 6404 grad_norm: 9.8494 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7594 loss: 0.7594 2022/06/30 18:29:49 - mmengine - INFO - Epoch(train) [92][2560/3757] lr: 1.000e-04 eta: 2:22:54 time: 0.255 data_time: 0.014 memory: 6404 grad_norm: 10.0023 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0290 loss: 1.0290 2022/06/30 18:29:55 - mmengine - INFO - Epoch(train) [92][2580/3757] lr: 1.000e-04 eta: 2:22:48 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 9.3171 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.7480 loss: 0.7480 2022/06/30 18:30:00 - mmengine - INFO - Epoch(train) [92][2600/3757] lr: 1.000e-04 eta: 2:22:43 time: 0.246 data_time: 0.019 memory: 6404 grad_norm: 10.3683 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0031 loss: 1.0031 2022/06/30 18:30:05 - mmengine - INFO - Epoch(train) [92][2620/3757] lr: 1.000e-04 eta: 2:22:37 time: 0.416 data_time: 0.008 memory: 6404 grad_norm: 7.8609 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8921 loss: 0.8921 2022/06/30 18:30:11 - mmengine - INFO - Epoch(train) [92][2640/3757] lr: 1.000e-04 eta: 2:22:32 time: 0.244 data_time: 0.008 memory: 6404 grad_norm: 8.1083 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9276 loss: 0.9276 2022/06/30 18:30:17 - mmengine - INFO - Epoch(train) [92][2660/3757] lr: 1.000e-04 eta: 2:22:27 time: 0.266 data_time: 0.024 memory: 6404 grad_norm: 8.5494 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1108 loss: 1.1108 2022/06/30 18:30:22 - mmengine - INFO - Epoch(train) [92][2680/3757] lr: 1.000e-04 eta: 2:22:21 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 9.1455 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1230 loss: 1.1230 2022/06/30 18:30:28 - mmengine - INFO - Epoch(train) [92][2700/3757] lr: 1.000e-04 eta: 2:22:16 time: 0.271 data_time: 0.007 memory: 6404 grad_norm: 9.6392 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8174 loss: 0.8174 2022/06/30 18:30:34 - mmengine - INFO - Epoch(train) [92][2720/3757] lr: 1.000e-04 eta: 2:22:10 time: 0.286 data_time: 0.007 memory: 6404 grad_norm: 9.8637 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3833 loss: 1.3833 2022/06/30 18:30:39 - mmengine - INFO - Epoch(train) [92][2740/3757] lr: 1.000e-04 eta: 2:22:05 time: 0.473 data_time: 0.032 memory: 6404 grad_norm: 10.8150 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8406 loss: 0.8406 2022/06/30 18:30:44 - mmengine - INFO - Epoch(train) [92][2760/3757] lr: 1.000e-04 eta: 2:21:59 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 7.6098 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0631 loss: 1.0631 2022/06/30 18:30:50 - mmengine - INFO - Epoch(train) [92][2780/3757] lr: 1.000e-04 eta: 2:21:54 time: 0.328 data_time: 0.010 memory: 6404 grad_norm: 10.2043 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9536 loss: 0.9536 2022/06/30 18:30:55 - mmengine - INFO - Epoch(train) [92][2800/3757] lr: 1.000e-04 eta: 2:21:48 time: 0.278 data_time: 0.008 memory: 6404 grad_norm: 9.7286 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1998 loss: 1.1998 2022/06/30 18:31:01 - mmengine - INFO - Epoch(train) [92][2820/3757] lr: 1.000e-04 eta: 2:21:43 time: 0.251 data_time: 0.015 memory: 6404 grad_norm: 8.1448 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9255 loss: 0.9255 2022/06/30 18:31:06 - mmengine - INFO - Epoch(train) [92][2840/3757] lr: 1.000e-04 eta: 2:21:37 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 11.2502 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9150 loss: 0.9150 2022/06/30 18:31:11 - mmengine - INFO - Epoch(train) [92][2860/3757] lr: 1.000e-04 eta: 2:21:32 time: 0.279 data_time: 0.007 memory: 6404 grad_norm: 8.0996 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1586 loss: 1.1586 2022/06/30 18:31:17 - mmengine - INFO - Epoch(train) [92][2880/3757] lr: 1.000e-04 eta: 2:21:26 time: 0.251 data_time: 0.024 memory: 6404 grad_norm: 10.4604 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2024 loss: 1.2024 2022/06/30 18:31:23 - mmengine - INFO - Epoch(train) [92][2900/3757] lr: 1.000e-04 eta: 2:21:21 time: 0.262 data_time: 0.013 memory: 6404 grad_norm: 7.4594 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6538 loss: 0.6538 2022/06/30 18:31:28 - mmengine - INFO - Epoch(train) [92][2920/3757] lr: 1.000e-04 eta: 2:21:15 time: 0.260 data_time: 0.009 memory: 6404 grad_norm: 9.4165 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1370 loss: 1.1370 2022/06/30 18:31:34 - mmengine - INFO - Epoch(train) [92][2940/3757] lr: 1.000e-04 eta: 2:21:10 time: 0.263 data_time: 0.019 memory: 6404 grad_norm: 9.4603 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2178 loss: 1.2178 2022/06/30 18:31:39 - mmengine - INFO - Epoch(train) [92][2960/3757] lr: 1.000e-04 eta: 2:21:04 time: 0.280 data_time: 0.007 memory: 6404 grad_norm: 9.5599 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9601 loss: 0.9601 2022/06/30 18:31:45 - mmengine - INFO - Epoch(train) [92][2980/3757] lr: 1.000e-04 eta: 2:20:59 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 9.7591 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0648 loss: 1.0648 2022/06/30 18:31:50 - mmengine - INFO - Epoch(train) [92][3000/3757] lr: 1.000e-04 eta: 2:20:53 time: 0.267 data_time: 0.011 memory: 6404 grad_norm: 7.6077 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7091 loss: 0.7091 2022/06/30 18:31:56 - mmengine - INFO - Epoch(train) [92][3020/3757] lr: 1.000e-04 eta: 2:20:48 time: 0.266 data_time: 0.008 memory: 6404 grad_norm: 8.5390 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0890 loss: 1.0890 2022/06/30 18:32:01 - mmengine - INFO - Epoch(train) [92][3040/3757] lr: 1.000e-04 eta: 2:20:42 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 11.3570 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0221 loss: 1.0221 2022/06/30 18:32:06 - mmengine - INFO - Epoch(train) [92][3060/3757] lr: 1.000e-04 eta: 2:20:37 time: 0.290 data_time: 0.012 memory: 6404 grad_norm: 9.5678 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6241 loss: 0.6241 2022/06/30 18:32:12 - mmengine - INFO - Epoch(train) [92][3080/3757] lr: 1.000e-04 eta: 2:20:31 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 8.5175 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0384 loss: 1.0384 2022/06/30 18:32:17 - mmengine - INFO - Epoch(train) [92][3100/3757] lr: 1.000e-04 eta: 2:20:26 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 9.7549 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1733 loss: 1.1733 2022/06/30 18:32:21 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 18:32:22 - mmengine - INFO - Epoch(train) [92][3120/3757] lr: 1.000e-04 eta: 2:20:20 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 10.0902 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9531 loss: 0.9531 2022/06/30 18:32:28 - mmengine - INFO - Epoch(train) [92][3140/3757] lr: 1.000e-04 eta: 2:20:15 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 8.8427 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8852 loss: 0.8852 2022/06/30 18:32:34 - mmengine - INFO - Epoch(train) [92][3160/3757] lr: 1.000e-04 eta: 2:20:09 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 10.6762 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1621 loss: 1.1621 2022/06/30 18:32:39 - mmengine - INFO - Epoch(train) [92][3180/3757] lr: 1.000e-04 eta: 2:20:04 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 8.5830 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0622 loss: 1.0622 2022/06/30 18:32:45 - mmengine - INFO - Epoch(train) [92][3200/3757] lr: 1.000e-04 eta: 2:19:58 time: 0.266 data_time: 0.010 memory: 6404 grad_norm: 8.3014 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0640 loss: 1.0640 2022/06/30 18:32:51 - mmengine - INFO - Epoch(train) [92][3220/3757] lr: 1.000e-04 eta: 2:19:53 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 10.0819 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0651 loss: 1.0651 2022/06/30 18:32:56 - mmengine - INFO - Epoch(train) [92][3240/3757] lr: 1.000e-04 eta: 2:19:47 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 10.6944 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9457 loss: 0.9457 2022/06/30 18:33:01 - mmengine - INFO - Epoch(train) [92][3260/3757] lr: 1.000e-04 eta: 2:19:42 time: 0.316 data_time: 0.015 memory: 6404 grad_norm: 8.6146 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9750 loss: 0.9750 2022/06/30 18:33:07 - mmengine - INFO - Epoch(train) [92][3280/3757] lr: 1.000e-04 eta: 2:19:36 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 10.9294 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6725 loss: 0.6725 2022/06/30 18:33:12 - mmengine - INFO - Epoch(train) [92][3300/3757] lr: 1.000e-04 eta: 2:19:31 time: 0.273 data_time: 0.013 memory: 6404 grad_norm: 8.5344 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6430 loss: 0.6430 2022/06/30 18:33:18 - mmengine - INFO - Epoch(train) [92][3320/3757] lr: 1.000e-04 eta: 2:19:25 time: 0.266 data_time: 0.036 memory: 6404 grad_norm: 8.9788 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0804 loss: 1.0804 2022/06/30 18:33:23 - mmengine - INFO - Epoch(train) [92][3340/3757] lr: 1.000e-04 eta: 2:19:20 time: 0.267 data_time: 0.013 memory: 6404 grad_norm: 9.1588 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7659 loss: 0.7659 2022/06/30 18:33:28 - mmengine - INFO - Epoch(train) [92][3360/3757] lr: 1.000e-04 eta: 2:19:14 time: 0.259 data_time: 0.012 memory: 6404 grad_norm: 7.7593 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7152 loss: 0.7152 2022/06/30 18:33:33 - mmengine - INFO - Epoch(train) [92][3380/3757] lr: 1.000e-04 eta: 2:19:09 time: 0.252 data_time: 0.024 memory: 6404 grad_norm: 8.9919 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0196 loss: 1.0196 2022/06/30 18:33:39 - mmengine - INFO - Epoch(train) [92][3400/3757] lr: 1.000e-04 eta: 2:19:03 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 8.6374 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0319 loss: 1.0319 2022/06/30 18:33:44 - mmengine - INFO - Epoch(train) [92][3420/3757] lr: 1.000e-04 eta: 2:18:58 time: 0.269 data_time: 0.013 memory: 6404 grad_norm: 10.7980 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2060 loss: 1.2060 2022/06/30 18:33:50 - mmengine - INFO - Epoch(train) [92][3440/3757] lr: 1.000e-04 eta: 2:18:52 time: 0.265 data_time: 0.021 memory: 6404 grad_norm: 10.6561 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7573 loss: 0.7573 2022/06/30 18:33:55 - mmengine - INFO - Epoch(train) [92][3460/3757] lr: 1.000e-04 eta: 2:18:47 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 8.3502 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9430 loss: 0.9430 2022/06/30 18:34:01 - mmengine - INFO - Epoch(train) [92][3480/3757] lr: 1.000e-04 eta: 2:18:41 time: 0.257 data_time: 0.017 memory: 6404 grad_norm: 8.6698 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2812 loss: 1.2812 2022/06/30 18:34:06 - mmengine - INFO - Epoch(train) [92][3500/3757] lr: 1.000e-04 eta: 2:18:36 time: 0.257 data_time: 0.023 memory: 6404 grad_norm: 11.1535 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8423 loss: 0.8423 2022/06/30 18:34:12 - mmengine - INFO - Epoch(train) [92][3520/3757] lr: 1.000e-04 eta: 2:18:30 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 9.6907 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3025 loss: 1.3025 2022/06/30 18:34:18 - mmengine - INFO - Epoch(train) [92][3540/3757] lr: 1.000e-04 eta: 2:18:25 time: 0.270 data_time: 0.016 memory: 6404 grad_norm: 9.7576 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8585 loss: 0.8585 2022/06/30 18:34:24 - mmengine - INFO - Epoch(train) [92][3560/3757] lr: 1.000e-04 eta: 2:18:20 time: 0.257 data_time: 0.016 memory: 6404 grad_norm: 12.1471 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8906 loss: 0.8906 2022/06/30 18:34:29 - mmengine - INFO - Epoch(train) [92][3580/3757] lr: 1.000e-04 eta: 2:18:14 time: 0.473 data_time: 0.008 memory: 6404 grad_norm: 8.1815 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1041 loss: 1.1041 2022/06/30 18:34:34 - mmengine - INFO - Epoch(train) [92][3600/3757] lr: 1.000e-04 eta: 2:18:09 time: 0.241 data_time: 0.034 memory: 6404 grad_norm: 10.4467 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1782 loss: 1.1782 2022/06/30 18:34:40 - mmengine - INFO - Epoch(train) [92][3620/3757] lr: 1.000e-04 eta: 2:18:03 time: 0.263 data_time: 0.017 memory: 6404 grad_norm: 10.3089 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8718 loss: 0.8718 2022/06/30 18:34:45 - mmengine - INFO - Epoch(train) [92][3640/3757] lr: 1.000e-04 eta: 2:17:58 time: 0.259 data_time: 0.012 memory: 6404 grad_norm: 10.1751 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0523 loss: 1.0523 2022/06/30 18:34:51 - mmengine - INFO - Epoch(train) [92][3660/3757] lr: 1.000e-04 eta: 2:17:52 time: 0.262 data_time: 0.021 memory: 6404 grad_norm: 10.0358 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8357 loss: 0.8357 2022/06/30 18:34:56 - mmengine - INFO - Epoch(train) [92][3680/3757] lr: 1.000e-04 eta: 2:17:47 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 9.2266 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9800 loss: 0.9800 2022/06/30 18:35:01 - mmengine - INFO - Epoch(train) [92][3700/3757] lr: 1.000e-04 eta: 2:17:41 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 10.4835 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1542 loss: 1.1542 2022/06/30 18:35:07 - mmengine - INFO - Epoch(train) [92][3720/3757] lr: 1.000e-04 eta: 2:17:36 time: 0.257 data_time: 0.021 memory: 6404 grad_norm: 9.6622 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0897 loss: 1.0897 2022/06/30 18:35:12 - mmengine - INFO - Epoch(train) [92][3740/3757] lr: 1.000e-04 eta: 2:17:30 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 9.9603 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0634 loss: 1.0634 2022/06/30 18:35:16 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 18:35:24 - mmengine - INFO - Epoch(val) [92][20/310] eta: 0:01:27 time: 0.125 data_time: 0.018 memory: 6404 2022/06/30 18:35:30 - mmengine - INFO - Epoch(val) [92][40/310] eta: 0:01:25 time: 0.396 data_time: 0.321 memory: 1479 2022/06/30 18:35:34 - mmengine - INFO - Epoch(val) [92][60/310] eta: 0:00:29 time: 0.090 data_time: 0.011 memory: 1479 2022/06/30 18:35:40 - mmengine - INFO - Epoch(val) [92][80/310] eta: 0:01:15 time: 0.092 data_time: 0.006 memory: 1479 2022/06/30 18:35:46 - mmengine - INFO - Epoch(val) [92][100/310] eta: 0:01:01 time: 1.103 data_time: 1.026 memory: 1479 2022/06/30 18:35:50 - mmengine - INFO - Epoch(val) [92][120/310] eta: 0:00:37 time: 0.080 data_time: 0.006 memory: 1479 2022/06/30 18:35:56 - mmengine - INFO - Epoch(val) [92][140/310] eta: 0:00:52 time: 0.087 data_time: 0.009 memory: 1479 2022/06/30 18:36:02 - mmengine - INFO - Epoch(val) [92][160/310] eta: 0:00:47 time: 1.665 data_time: 1.572 memory: 1479 2022/06/30 18:36:06 - mmengine - INFO - Epoch(val) [92][180/310] eta: 0:00:41 time: 0.082 data_time: 0.009 memory: 1479 2022/06/30 18:36:12 - mmengine - INFO - Epoch(val) [92][200/310] eta: 0:00:32 time: 0.082 data_time: 0.006 memory: 1479 2022/06/30 18:36:18 - mmengine - INFO - Epoch(val) [92][220/310] eta: 0:00:27 time: 0.685 data_time: 0.600 memory: 1479 2022/06/30 18:36:22 - mmengine - INFO - Epoch(val) [92][240/310] eta: 0:00:21 time: 0.082 data_time: 0.007 memory: 1479 2022/06/30 18:36:28 - mmengine - INFO - Epoch(val) [92][260/310] eta: 0:00:16 time: 0.080 data_time: 0.007 memory: 1479 2022/06/30 18:36:35 - mmengine - INFO - Epoch(val) [92][280/310] eta: 0:00:09 time: 0.680 data_time: 0.591 memory: 1479 2022/06/30 18:36:38 - mmengine - INFO - Epoch(val) [92][300/310] eta: 0:00:02 time: 0.087 data_time: 0.006 memory: 1479 2022/06/30 18:36:40 - mmengine - INFO - Epoch(val) [92][310/310] acc/top1: 0.6761 acc/top5: 0.8718 acc/mean1: 0.6760 2022/06/30 18:36:49 - mmengine - INFO - Epoch(train) [93][20/3757] lr: 1.000e-04 eta: 2:17:20 time: 0.296 data_time: 0.038 memory: 6404 grad_norm: 9.8600 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7564 loss: 0.7564 2022/06/30 18:36:55 - mmengine - INFO - Epoch(train) [93][40/3757] lr: 1.000e-04 eta: 2:17:15 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 10.3177 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9970 loss: 0.9970 2022/06/30 18:37:01 - mmengine - INFO - Epoch(train) [93][60/3757] lr: 1.000e-04 eta: 2:17:09 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 9.5617 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1701 loss: 1.1701 2022/06/30 18:37:06 - mmengine - INFO - Epoch(train) [93][80/3757] lr: 1.000e-04 eta: 2:17:04 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 9.7818 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8495 loss: 0.8495 2022/06/30 18:37:11 - mmengine - INFO - Epoch(train) [93][100/3757] lr: 1.000e-04 eta: 2:16:58 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.0628 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8554 loss: 0.8554 2022/06/30 18:37:17 - mmengine - INFO - Epoch(train) [93][120/3757] lr: 1.000e-04 eta: 2:16:53 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 9.8080 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8969 loss: 0.8969 2022/06/30 18:37:23 - mmengine - INFO - Epoch(train) [93][140/3757] lr: 1.000e-04 eta: 2:16:47 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 9.1693 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0057 loss: 1.0057 2022/06/30 18:37:28 - mmengine - INFO - Epoch(train) [93][160/3757] lr: 1.000e-04 eta: 2:16:42 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 8.7567 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.7847 loss: 0.7847 2022/06/30 18:37:34 - mmengine - INFO - Epoch(train) [93][180/3757] lr: 1.000e-04 eta: 2:16:36 time: 0.255 data_time: 0.012 memory: 6404 grad_norm: 8.1030 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0943 loss: 1.0943 2022/06/30 18:37:39 - mmengine - INFO - Epoch(train) [93][200/3757] lr: 1.000e-04 eta: 2:16:31 time: 0.322 data_time: 0.008 memory: 6404 grad_norm: 9.6877 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0772 loss: 1.0772 2022/06/30 18:37:45 - mmengine - INFO - Epoch(train) [93][220/3757] lr: 1.000e-04 eta: 2:16:25 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.8299 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9726 loss: 0.9726 2022/06/30 18:37:50 - mmengine - INFO - Epoch(train) [93][240/3757] lr: 1.000e-04 eta: 2:16:20 time: 0.273 data_time: 0.012 memory: 6404 grad_norm: 9.0926 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8574 loss: 0.8574 2022/06/30 18:37:56 - mmengine - INFO - Epoch(train) [93][260/3757] lr: 1.000e-04 eta: 2:16:14 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 8.2492 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8447 loss: 0.8447 2022/06/30 18:38:01 - mmengine - INFO - Epoch(train) [93][280/3757] lr: 1.000e-04 eta: 2:16:09 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 8.9203 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0897 loss: 1.0897 2022/06/30 18:38:06 - mmengine - INFO - Epoch(train) [93][300/3757] lr: 1.000e-04 eta: 2:16:03 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 9.5712 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1123 loss: 1.1123 2022/06/30 18:38:11 - mmengine - INFO - Epoch(train) [93][320/3757] lr: 1.000e-04 eta: 2:15:58 time: 0.266 data_time: 0.008 memory: 6404 grad_norm: 8.1354 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9301 loss: 0.9301 2022/06/30 18:38:17 - mmengine - INFO - Epoch(train) [93][340/3757] lr: 1.000e-04 eta: 2:15:52 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 10.0491 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.5522 loss: 0.5522 2022/06/30 18:38:21 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 18:38:22 - mmengine - INFO - Epoch(train) [93][360/3757] lr: 1.000e-04 eta: 2:15:47 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 10.3103 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2670 loss: 1.2670 2022/06/30 18:38:28 - mmengine - INFO - Epoch(train) [93][380/3757] lr: 1.000e-04 eta: 2:15:41 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.0311 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0552 loss: 1.0552 2022/06/30 18:38:34 - mmengine - INFO - Epoch(train) [93][400/3757] lr: 1.000e-04 eta: 2:15:36 time: 0.259 data_time: 0.012 memory: 6404 grad_norm: 10.8956 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1868 loss: 1.1868 2022/06/30 18:38:40 - mmengine - INFO - Epoch(train) [93][420/3757] lr: 1.000e-04 eta: 2:15:30 time: 0.540 data_time: 0.008 memory: 6404 grad_norm: 11.7375 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8200 loss: 0.8200 2022/06/30 18:38:45 - mmengine - INFO - Epoch(train) [93][440/3757] lr: 1.000e-04 eta: 2:15:25 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 9.3066 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9324 loss: 0.9324 2022/06/30 18:38:51 - mmengine - INFO - Epoch(train) [93][460/3757] lr: 1.000e-04 eta: 2:15:19 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 9.6597 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8199 loss: 0.8199 2022/06/30 18:38:56 - mmengine - INFO - Epoch(train) [93][480/3757] lr: 1.000e-04 eta: 2:15:14 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 11.8358 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1006 loss: 1.1006 2022/06/30 18:39:02 - mmengine - INFO - Epoch(train) [93][500/3757] lr: 1.000e-04 eta: 2:15:08 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 10.2059 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8355 loss: 0.8355 2022/06/30 18:39:07 - mmengine - INFO - Epoch(train) [93][520/3757] lr: 1.000e-04 eta: 2:15:03 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 8.6013 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9585 loss: 0.9585 2022/06/30 18:39:12 - mmengine - INFO - Epoch(train) [93][540/3757] lr: 1.000e-04 eta: 2:14:57 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 9.2394 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7823 loss: 0.7823 2022/06/30 18:39:18 - mmengine - INFO - Epoch(train) [93][560/3757] lr: 1.000e-04 eta: 2:14:52 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 11.1218 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0675 loss: 1.0675 2022/06/30 18:39:24 - mmengine - INFO - Epoch(train) [93][580/3757] lr: 1.000e-04 eta: 2:14:46 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 8.1222 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9246 loss: 0.9246 2022/06/30 18:39:29 - mmengine - INFO - Epoch(train) [93][600/3757] lr: 1.000e-04 eta: 2:14:41 time: 0.263 data_time: 0.010 memory: 6404 grad_norm: 9.0663 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9906 loss: 0.9906 2022/06/30 18:39:35 - mmengine - INFO - Epoch(train) [93][620/3757] lr: 1.000e-04 eta: 2:14:35 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 7.9265 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8079 loss: 0.8079 2022/06/30 18:39:40 - mmengine - INFO - Epoch(train) [93][640/3757] lr: 1.000e-04 eta: 2:14:30 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 9.3658 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7532 loss: 0.7532 2022/06/30 18:39:45 - mmengine - INFO - Epoch(train) [93][660/3757] lr: 1.000e-04 eta: 2:14:24 time: 0.253 data_time: 0.015 memory: 6404 grad_norm: 7.5156 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7792 loss: 0.7792 2022/06/30 18:39:51 - mmengine - INFO - Epoch(train) [93][680/3757] lr: 1.000e-04 eta: 2:14:19 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 11.1547 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.8599 loss: 0.8599 2022/06/30 18:39:57 - mmengine - INFO - Epoch(train) [93][700/3757] lr: 1.000e-04 eta: 2:14:13 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 7.6851 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9725 loss: 0.9725 2022/06/30 18:40:03 - mmengine - INFO - Epoch(train) [93][720/3757] lr: 1.000e-04 eta: 2:14:08 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 9.1770 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1486 loss: 1.1486 2022/06/30 18:40:08 - mmengine - INFO - Epoch(train) [93][740/3757] lr: 1.000e-04 eta: 2:14:03 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 9.8256 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2210 loss: 1.2210 2022/06/30 18:40:13 - mmengine - INFO - Epoch(train) [93][760/3757] lr: 1.000e-04 eta: 2:13:57 time: 0.248 data_time: 0.013 memory: 6404 grad_norm: 7.9316 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6159 loss: 0.6159 2022/06/30 18:40:18 - mmengine - INFO - Epoch(train) [93][780/3757] lr: 1.000e-04 eta: 2:13:51 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 8.8707 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7854 loss: 0.7854 2022/06/30 18:40:24 - mmengine - INFO - Epoch(train) [93][800/3757] lr: 1.000e-04 eta: 2:13:46 time: 0.265 data_time: 0.012 memory: 6404 grad_norm: 7.3483 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9092 loss: 0.9092 2022/06/30 18:40:30 - mmengine - INFO - Epoch(train) [93][820/3757] lr: 1.000e-04 eta: 2:13:41 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 10.1283 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1014 loss: 1.1014 2022/06/30 18:40:35 - mmengine - INFO - Epoch(train) [93][840/3757] lr: 1.000e-04 eta: 2:13:35 time: 0.262 data_time: 0.010 memory: 6404 grad_norm: 9.5046 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1228 loss: 1.1228 2022/06/30 18:40:40 - mmengine - INFO - Epoch(train) [93][860/3757] lr: 1.000e-04 eta: 2:13:30 time: 0.252 data_time: 0.015 memory: 6404 grad_norm: 9.8366 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9344 loss: 0.9344 2022/06/30 18:40:45 - mmengine - INFO - Epoch(train) [93][880/3757] lr: 1.000e-04 eta: 2:13:24 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 8.8292 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1232 loss: 1.1232 2022/06/30 18:40:50 - mmengine - INFO - Epoch(train) [93][900/3757] lr: 1.000e-04 eta: 2:13:18 time: 0.258 data_time: 0.024 memory: 6404 grad_norm: 9.1947 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8531 loss: 0.8531 2022/06/30 18:40:56 - mmengine - INFO - Epoch(train) [93][920/3757] lr: 1.000e-04 eta: 2:13:13 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 10.8799 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1149 loss: 1.1149 2022/06/30 18:41:02 - mmengine - INFO - Epoch(train) [93][940/3757] lr: 1.000e-04 eta: 2:13:08 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 8.7569 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0787 loss: 1.0787 2022/06/30 18:41:07 - mmengine - INFO - Epoch(train) [93][960/3757] lr: 1.000e-04 eta: 2:13:02 time: 0.427 data_time: 0.009 memory: 6404 grad_norm: 9.9277 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0878 loss: 1.0878 2022/06/30 18:41:13 - mmengine - INFO - Epoch(train) [93][980/3757] lr: 1.000e-04 eta: 2:12:57 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 9.0474 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9270 loss: 0.9270 2022/06/30 18:41:18 - mmengine - INFO - Epoch(train) [93][1000/3757] lr: 1.000e-04 eta: 2:12:51 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 10.0018 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6930 loss: 0.6930 2022/06/30 18:41:24 - mmengine - INFO - Epoch(train) [93][1020/3757] lr: 1.000e-04 eta: 2:12:46 time: 0.291 data_time: 0.011 memory: 6404 grad_norm: 13.2192 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3782 loss: 1.3782 2022/06/30 18:41:29 - mmengine - INFO - Epoch(train) [93][1040/3757] lr: 1.000e-04 eta: 2:12:40 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.1538 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0029 loss: 1.0029 2022/06/30 18:41:35 - mmengine - INFO - Epoch(train) [93][1060/3757] lr: 1.000e-04 eta: 2:12:35 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 8.8331 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9316 loss: 0.9316 2022/06/30 18:41:41 - mmengine - INFO - Epoch(train) [93][1080/3757] lr: 1.000e-04 eta: 2:12:29 time: 0.270 data_time: 0.007 memory: 6404 grad_norm: 8.8326 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1928 loss: 1.1928 2022/06/30 18:41:46 - mmengine - INFO - Epoch(train) [93][1100/3757] lr: 1.000e-04 eta: 2:12:24 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 9.3404 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2879 loss: 1.2879 2022/06/30 18:41:51 - mmengine - INFO - Epoch(train) [93][1120/3757] lr: 1.000e-04 eta: 2:12:18 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 9.2715 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2491 loss: 1.2491 2022/06/30 18:41:57 - mmengine - INFO - Epoch(train) [93][1140/3757] lr: 1.000e-04 eta: 2:12:13 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 8.9506 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8175 loss: 0.8175 2022/06/30 18:42:04 - mmengine - INFO - Epoch(train) [93][1160/3757] lr: 1.000e-04 eta: 2:12:07 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 10.5256 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0090 loss: 1.0090 2022/06/30 18:42:09 - mmengine - INFO - Epoch(train) [93][1180/3757] lr: 1.000e-04 eta: 2:12:02 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 9.0078 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0631 loss: 1.0631 2022/06/30 18:42:14 - mmengine - INFO - Epoch(train) [93][1200/3757] lr: 1.000e-04 eta: 2:11:56 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 6.9756 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7713 loss: 0.7713 2022/06/30 18:42:19 - mmengine - INFO - Epoch(train) [93][1220/3757] lr: 1.000e-04 eta: 2:11:51 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 9.2027 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2144 loss: 1.2144 2022/06/30 18:42:25 - mmengine - INFO - Epoch(train) [93][1240/3757] lr: 1.000e-04 eta: 2:11:45 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 8.4848 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2273 loss: 1.2273 2022/06/30 18:42:30 - mmengine - INFO - Epoch(train) [93][1260/3757] lr: 1.000e-04 eta: 2:11:40 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 7.0845 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0148 loss: 1.0148 2022/06/30 18:42:35 - mmengine - INFO - Epoch(train) [93][1280/3757] lr: 1.000e-04 eta: 2:11:34 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 9.1704 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1201 loss: 1.1201 2022/06/30 18:42:41 - mmengine - INFO - Epoch(train) [93][1300/3757] lr: 1.000e-04 eta: 2:11:29 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 9.5010 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0756 loss: 1.0756 2022/06/30 18:42:46 - mmengine - INFO - Epoch(train) [93][1320/3757] lr: 1.000e-04 eta: 2:11:23 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.6272 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3941 loss: 1.3941 2022/06/30 18:42:51 - mmengine - INFO - Epoch(train) [93][1340/3757] lr: 1.000e-04 eta: 2:11:18 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 10.2681 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9431 loss: 0.9431 2022/06/30 18:42:56 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 18:42:57 - mmengine - INFO - Epoch(train) [93][1360/3757] lr: 1.000e-04 eta: 2:11:12 time: 0.249 data_time: 0.014 memory: 6404 grad_norm: 9.5417 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.7574 loss: 0.7574 2022/06/30 18:43:02 - mmengine - INFO - Epoch(train) [93][1380/3757] lr: 1.000e-04 eta: 2:11:07 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 10.8382 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0206 loss: 1.0206 2022/06/30 18:43:08 - mmengine - INFO - Epoch(train) [93][1400/3757] lr: 1.000e-04 eta: 2:11:01 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 10.8680 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.0063 loss: 1.0063 2022/06/30 18:43:13 - mmengine - INFO - Epoch(train) [93][1420/3757] lr: 1.000e-04 eta: 2:10:56 time: 0.309 data_time: 0.012 memory: 6404 grad_norm: 8.0472 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1095 loss: 1.1095 2022/06/30 18:43:19 - mmengine - INFO - Epoch(train) [93][1440/3757] lr: 1.000e-04 eta: 2:10:50 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 9.4442 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2399 loss: 1.2399 2022/06/30 18:43:25 - mmengine - INFO - Epoch(train) [93][1460/3757] lr: 1.000e-04 eta: 2:10:45 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 9.4721 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1565 loss: 1.1565 2022/06/30 18:43:31 - mmengine - INFO - Epoch(train) [93][1480/3757] lr: 1.000e-04 eta: 2:10:39 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 8.5207 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1375 loss: 1.1375 2022/06/30 18:43:36 - mmengine - INFO - Epoch(train) [93][1500/3757] lr: 1.000e-04 eta: 2:10:34 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 8.1405 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9086 loss: 0.9086 2022/06/30 18:43:42 - mmengine - INFO - Epoch(train) [93][1520/3757] lr: 1.000e-04 eta: 2:10:28 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 8.7287 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3037 loss: 1.3037 2022/06/30 18:43:47 - mmengine - INFO - Epoch(train) [93][1540/3757] lr: 1.000e-04 eta: 2:10:23 time: 0.256 data_time: 0.013 memory: 6404 grad_norm: 8.2301 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1960 loss: 1.1960 2022/06/30 18:43:53 - mmengine - INFO - Epoch(train) [93][1560/3757] lr: 1.000e-04 eta: 2:10:17 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 8.3599 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9546 loss: 0.9546 2022/06/30 18:43:59 - mmengine - INFO - Epoch(train) [93][1580/3757] lr: 1.000e-04 eta: 2:10:12 time: 0.244 data_time: 0.010 memory: 6404 grad_norm: 7.9561 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7539 loss: 0.7539 2022/06/30 18:44:04 - mmengine - INFO - Epoch(train) [93][1600/3757] lr: 1.000e-04 eta: 2:10:07 time: 0.249 data_time: 0.025 memory: 6404 grad_norm: 11.5599 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8618 loss: 0.8618 2022/06/30 18:44:10 - mmengine - INFO - Epoch(train) [93][1620/3757] lr: 1.000e-04 eta: 2:10:01 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 8.8575 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1883 loss: 1.1883 2022/06/30 18:44:15 - mmengine - INFO - Epoch(train) [93][1640/3757] lr: 1.000e-04 eta: 2:09:56 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 10.0623 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9331 loss: 0.9331 2022/06/30 18:44:21 - mmengine - INFO - Epoch(train) [93][1660/3757] lr: 1.000e-04 eta: 2:09:50 time: 0.256 data_time: 0.013 memory: 6404 grad_norm: 11.0523 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1361 loss: 1.1361 2022/06/30 18:44:26 - mmengine - INFO - Epoch(train) [93][1680/3757] lr: 1.000e-04 eta: 2:09:45 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 9.3217 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0325 loss: 1.0325 2022/06/30 18:44:32 - mmengine - INFO - Epoch(train) [93][1700/3757] lr: 1.000e-04 eta: 2:09:39 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 10.1842 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1284 loss: 1.1284 2022/06/30 18:44:37 - mmengine - INFO - Epoch(train) [93][1720/3757] lr: 1.000e-04 eta: 2:09:34 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 10.0473 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7722 loss: 0.7722 2022/06/30 18:44:42 - mmengine - INFO - Epoch(train) [93][1740/3757] lr: 1.000e-04 eta: 2:09:28 time: 0.262 data_time: 0.009 memory: 6404 grad_norm: 9.9760 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0549 loss: 1.0549 2022/06/30 18:44:48 - mmengine - INFO - Epoch(train) [93][1760/3757] lr: 1.000e-04 eta: 2:09:23 time: 0.261 data_time: 0.063 memory: 6404 grad_norm: 8.7497 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2773 loss: 1.2773 2022/06/30 18:44:53 - mmengine - INFO - Epoch(train) [93][1780/3757] lr: 1.000e-04 eta: 2:09:17 time: 0.262 data_time: 0.012 memory: 6404 grad_norm: 9.4069 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8017 loss: 0.8017 2022/06/30 18:44:59 - mmengine - INFO - Epoch(train) [93][1800/3757] lr: 1.000e-04 eta: 2:09:12 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 9.8641 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0903 loss: 1.0903 2022/06/30 18:45:05 - mmengine - INFO - Epoch(train) [93][1820/3757] lr: 1.000e-04 eta: 2:09:06 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 10.2821 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6643 loss: 0.6643 2022/06/30 18:45:10 - mmengine - INFO - Epoch(train) [93][1840/3757] lr: 1.000e-04 eta: 2:09:01 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 8.4886 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8945 loss: 0.8945 2022/06/30 18:45:15 - mmengine - INFO - Epoch(train) [93][1860/3757] lr: 1.000e-04 eta: 2:08:55 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 10.5907 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9433 loss: 0.9433 2022/06/30 18:45:21 - mmengine - INFO - Epoch(train) [93][1880/3757] lr: 1.000e-04 eta: 2:08:50 time: 0.249 data_time: 0.014 memory: 6404 grad_norm: 8.9257 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1272 loss: 1.1272 2022/06/30 18:45:27 - mmengine - INFO - Epoch(train) [93][1900/3757] lr: 1.000e-04 eta: 2:08:44 time: 0.266 data_time: 0.010 memory: 6404 grad_norm: 6.6799 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1057 loss: 1.1057 2022/06/30 18:45:32 - mmengine - INFO - Epoch(train) [93][1920/3757] lr: 1.000e-04 eta: 2:08:39 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 10.9696 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2264 loss: 1.2264 2022/06/30 18:45:37 - mmengine - INFO - Epoch(train) [93][1940/3757] lr: 1.000e-04 eta: 2:08:33 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 11.1450 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2291 loss: 1.2291 2022/06/30 18:45:43 - mmengine - INFO - Epoch(train) [93][1960/3757] lr: 1.000e-04 eta: 2:08:28 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 8.0981 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9153 loss: 0.9153 2022/06/30 18:45:48 - mmengine - INFO - Epoch(train) [93][1980/3757] lr: 1.000e-04 eta: 2:08:22 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 11.7194 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.8535 loss: 0.8535 2022/06/30 18:45:53 - mmengine - INFO - Epoch(train) [93][2000/3757] lr: 1.000e-04 eta: 2:08:17 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 10.2993 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4401 loss: 1.4401 2022/06/30 18:45:59 - mmengine - INFO - Epoch(train) [93][2020/3757] lr: 1.000e-04 eta: 2:08:11 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 10.1506 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8167 loss: 0.8167 2022/06/30 18:46:05 - mmengine - INFO - Epoch(train) [93][2040/3757] lr: 1.000e-04 eta: 2:08:06 time: 0.259 data_time: 0.027 memory: 6404 grad_norm: 9.3796 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8391 loss: 0.8391 2022/06/30 18:46:11 - mmengine - INFO - Epoch(train) [93][2060/3757] lr: 1.000e-04 eta: 2:08:00 time: 0.271 data_time: 0.007 memory: 6404 grad_norm: 6.4307 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0796 loss: 1.0796 2022/06/30 18:46:16 - mmengine - INFO - Epoch(train) [93][2080/3757] lr: 1.000e-04 eta: 2:07:55 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 8.5478 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8611 loss: 0.8611 2022/06/30 18:46:22 - mmengine - INFO - Epoch(train) [93][2100/3757] lr: 1.000e-04 eta: 2:07:49 time: 0.261 data_time: 0.014 memory: 6404 grad_norm: 9.6149 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9909 loss: 0.9909 2022/06/30 18:46:27 - mmengine - INFO - Epoch(train) [93][2120/3757] lr: 1.000e-04 eta: 2:07:44 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 9.2065 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8395 loss: 0.8395 2022/06/30 18:46:33 - mmengine - INFO - Epoch(train) [93][2140/3757] lr: 1.000e-04 eta: 2:07:38 time: 0.250 data_time: 0.015 memory: 6404 grad_norm: 11.4830 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1642 loss: 1.1642 2022/06/30 18:46:38 - mmengine - INFO - Epoch(train) [93][2160/3757] lr: 1.000e-04 eta: 2:07:33 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 9.8729 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9963 loss: 0.9963 2022/06/30 18:46:44 - mmengine - INFO - Epoch(train) [93][2180/3757] lr: 1.000e-04 eta: 2:07:27 time: 0.304 data_time: 0.015 memory: 6404 grad_norm: 10.4734 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9884 loss: 0.9884 2022/06/30 18:46:49 - mmengine - INFO - Epoch(train) [93][2200/3757] lr: 1.000e-04 eta: 2:07:22 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 9.9648 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7351 loss: 0.7351 2022/06/30 18:46:55 - mmengine - INFO - Epoch(train) [93][2220/3757] lr: 1.000e-04 eta: 2:07:16 time: 0.270 data_time: 0.013 memory: 6404 grad_norm: 10.1699 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8406 loss: 0.8406 2022/06/30 18:47:00 - mmengine - INFO - Epoch(train) [93][2240/3757] lr: 1.000e-04 eta: 2:07:11 time: 0.261 data_time: 0.011 memory: 6404 grad_norm: 8.5699 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0695 loss: 1.0695 2022/06/30 18:47:05 - mmengine - INFO - Epoch(train) [93][2260/3757] lr: 1.000e-04 eta: 2:07:05 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 8.1602 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2967 loss: 1.2967 2022/06/30 18:47:11 - mmengine - INFO - Epoch(train) [93][2280/3757] lr: 1.000e-04 eta: 2:07:00 time: 0.280 data_time: 0.006 memory: 6404 grad_norm: 9.7994 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9028 loss: 0.9028 2022/06/30 18:47:16 - mmengine - INFO - Epoch(train) [93][2300/3757] lr: 1.000e-04 eta: 2:06:54 time: 0.246 data_time: 0.015 memory: 6404 grad_norm: 9.3043 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8041 loss: 0.8041 2022/06/30 18:47:22 - mmengine - INFO - Epoch(train) [93][2320/3757] lr: 1.000e-04 eta: 2:06:49 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 9.4480 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0176 loss: 1.0176 2022/06/30 18:47:27 - mmengine - INFO - Epoch(train) [93][2340/3757] lr: 1.000e-04 eta: 2:06:43 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 9.0668 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9682 loss: 0.9682 2022/06/30 18:47:31 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 18:47:32 - mmengine - INFO - Epoch(train) [93][2360/3757] lr: 1.000e-04 eta: 2:06:38 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 10.1698 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9676 loss: 0.9676 2022/06/30 18:47:37 - mmengine - INFO - Epoch(train) [93][2380/3757] lr: 1.000e-04 eta: 2:06:32 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 11.6818 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9473 loss: 0.9473 2022/06/30 18:47:43 - mmengine - INFO - Epoch(train) [93][2400/3757] lr: 1.000e-04 eta: 2:06:27 time: 0.254 data_time: 0.021 memory: 6404 grad_norm: 6.5923 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9868 loss: 0.9868 2022/06/30 18:47:49 - mmengine - INFO - Epoch(train) [93][2420/3757] lr: 1.000e-04 eta: 2:06:21 time: 0.278 data_time: 0.007 memory: 6404 grad_norm: 7.7711 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8875 loss: 0.8875 2022/06/30 18:47:54 - mmengine - INFO - Epoch(train) [93][2440/3757] lr: 1.000e-04 eta: 2:06:16 time: 0.259 data_time: 0.012 memory: 6404 grad_norm: 8.8415 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1414 loss: 1.1414 2022/06/30 18:47:59 - mmengine - INFO - Epoch(train) [93][2460/3757] lr: 1.000e-04 eta: 2:06:10 time: 0.273 data_time: 0.017 memory: 6404 grad_norm: 9.6885 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.0462 loss: 1.0462 2022/06/30 18:48:05 - mmengine - INFO - Epoch(train) [93][2480/3757] lr: 1.000e-04 eta: 2:06:05 time: 0.252 data_time: 0.006 memory: 6404 grad_norm: 9.8909 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2474 loss: 1.2474 2022/06/30 18:48:11 - mmengine - INFO - Epoch(train) [93][2500/3757] lr: 1.000e-04 eta: 2:05:59 time: 0.440 data_time: 0.012 memory: 6404 grad_norm: 8.8511 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9378 loss: 0.9378 2022/06/30 18:48:16 - mmengine - INFO - Epoch(train) [93][2520/3757] lr: 1.000e-04 eta: 2:05:54 time: 0.260 data_time: 0.018 memory: 6404 grad_norm: 7.9654 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0998 loss: 1.0998 2022/06/30 18:48:22 - mmengine - INFO - Epoch(train) [93][2540/3757] lr: 1.000e-04 eta: 2:05:49 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 10.3305 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0606 loss: 1.0606 2022/06/30 18:48:28 - mmengine - INFO - Epoch(train) [93][2560/3757] lr: 1.000e-04 eta: 2:05:43 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 7.6121 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.5817 loss: 0.5817 2022/06/30 18:48:33 - mmengine - INFO - Epoch(train) [93][2580/3757] lr: 1.000e-04 eta: 2:05:38 time: 0.250 data_time: 0.020 memory: 6404 grad_norm: 10.5448 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1648 loss: 1.1648 2022/06/30 18:48:38 - mmengine - INFO - Epoch(train) [93][2600/3757] lr: 1.000e-04 eta: 2:05:32 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 9.5723 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9087 loss: 0.9087 2022/06/30 18:48:43 - mmengine - INFO - Epoch(train) [93][2620/3757] lr: 1.000e-04 eta: 2:05:27 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 9.9570 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9507 loss: 0.9507 2022/06/30 18:48:49 - mmengine - INFO - Epoch(train) [93][2640/3757] lr: 1.000e-04 eta: 2:05:21 time: 0.460 data_time: 0.024 memory: 6404 grad_norm: 9.0670 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8065 loss: 0.8065 2022/06/30 18:48:54 - mmengine - INFO - Epoch(train) [93][2660/3757] lr: 1.000e-04 eta: 2:05:16 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 9.8391 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8952 loss: 0.8952 2022/06/30 18:49:00 - mmengine - INFO - Epoch(train) [93][2680/3757] lr: 1.000e-04 eta: 2:05:10 time: 0.270 data_time: 0.009 memory: 6404 grad_norm: 8.9201 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0578 loss: 1.0578 2022/06/30 18:49:06 - mmengine - INFO - Epoch(train) [93][2700/3757] lr: 1.000e-04 eta: 2:05:05 time: 0.272 data_time: 0.016 memory: 6404 grad_norm: 9.6171 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2131 loss: 1.2131 2022/06/30 18:49:11 - mmengine - INFO - Epoch(train) [93][2720/3757] lr: 1.000e-04 eta: 2:04:59 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 9.6845 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2039 loss: 1.2039 2022/06/30 18:49:17 - mmengine - INFO - Epoch(train) [93][2740/3757] lr: 1.000e-04 eta: 2:04:54 time: 0.378 data_time: 0.008 memory: 6404 grad_norm: 7.5069 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2197 loss: 1.2197 2022/06/30 18:49:23 - mmengine - INFO - Epoch(train) [93][2760/3757] lr: 1.000e-04 eta: 2:04:48 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 8.3725 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8646 loss: 0.8646 2022/06/30 18:49:28 - mmengine - INFO - Epoch(train) [93][2780/3757] lr: 1.000e-04 eta: 2:04:43 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 10.6160 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3288 loss: 1.3288 2022/06/30 18:49:33 - mmengine - INFO - Epoch(train) [93][2800/3757] lr: 1.000e-04 eta: 2:04:37 time: 0.265 data_time: 0.009 memory: 6404 grad_norm: 8.0721 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8048 loss: 0.8048 2022/06/30 18:49:39 - mmengine - INFO - Epoch(train) [93][2820/3757] lr: 1.000e-04 eta: 2:04:32 time: 0.264 data_time: 0.011 memory: 6404 grad_norm: 10.4846 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3791 loss: 1.3791 2022/06/30 18:49:44 - mmengine - INFO - Epoch(train) [93][2840/3757] lr: 1.000e-04 eta: 2:04:26 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 8.9464 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7115 loss: 0.7115 2022/06/30 18:49:49 - mmengine - INFO - Epoch(train) [93][2860/3757] lr: 1.000e-04 eta: 2:04:21 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 8.5969 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9328 loss: 0.9328 2022/06/30 18:49:55 - mmengine - INFO - Epoch(train) [93][2880/3757] lr: 1.000e-04 eta: 2:04:15 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 9.5119 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0786 loss: 1.0786 2022/06/30 18:50:02 - mmengine - INFO - Epoch(train) [93][2900/3757] lr: 1.000e-04 eta: 2:04:10 time: 0.316 data_time: 0.019 memory: 6404 grad_norm: 8.9731 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9029 loss: 0.9029 2022/06/30 18:50:07 - mmengine - INFO - Epoch(train) [93][2920/3757] lr: 1.000e-04 eta: 2:04:04 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 9.0943 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2108 loss: 1.2108 2022/06/30 18:50:13 - mmengine - INFO - Epoch(train) [93][2940/3757] lr: 1.000e-04 eta: 2:03:59 time: 0.272 data_time: 0.010 memory: 6404 grad_norm: 11.6671 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9269 loss: 0.9269 2022/06/30 18:50:18 - mmengine - INFO - Epoch(train) [93][2960/3757] lr: 1.000e-04 eta: 2:03:53 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.4932 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.5805 loss: 0.5805 2022/06/30 18:50:24 - mmengine - INFO - Epoch(train) [93][2980/3757] lr: 1.000e-04 eta: 2:03:48 time: 0.263 data_time: 0.021 memory: 6404 grad_norm: 10.6563 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1354 loss: 1.1354 2022/06/30 18:50:29 - mmengine - INFO - Epoch(train) [93][3000/3757] lr: 1.000e-04 eta: 2:03:42 time: 0.268 data_time: 0.015 memory: 6404 grad_norm: 7.5913 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0103 loss: 1.0103 2022/06/30 18:50:34 - mmengine - INFO - Epoch(train) [93][3020/3757] lr: 1.000e-04 eta: 2:03:37 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 8.1992 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9570 loss: 0.9570 2022/06/30 18:50:39 - mmengine - INFO - Epoch(train) [93][3040/3757] lr: 1.000e-04 eta: 2:03:31 time: 0.264 data_time: 0.020 memory: 6404 grad_norm: 10.7990 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7953 loss: 0.7953 2022/06/30 18:50:45 - mmengine - INFO - Epoch(train) [93][3060/3757] lr: 1.000e-04 eta: 2:03:26 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 8.8480 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8576 loss: 0.8576 2022/06/30 18:50:50 - mmengine - INFO - Epoch(train) [93][3080/3757] lr: 1.000e-04 eta: 2:03:20 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 9.7936 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.7764 loss: 0.7764 2022/06/30 18:50:55 - mmengine - INFO - Epoch(train) [93][3100/3757] lr: 1.000e-04 eta: 2:03:15 time: 0.271 data_time: 0.070 memory: 6404 grad_norm: 9.9329 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3816 loss: 1.3816 2022/06/30 18:51:01 - mmengine - INFO - Epoch(train) [93][3120/3757] lr: 1.000e-04 eta: 2:03:09 time: 0.376 data_time: 0.007 memory: 6404 grad_norm: 9.4963 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0067 loss: 1.0067 2022/06/30 18:51:07 - mmengine - INFO - Epoch(train) [93][3140/3757] lr: 1.000e-04 eta: 2:03:04 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 9.8684 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2091 loss: 1.2091 2022/06/30 18:51:12 - mmengine - INFO - Epoch(train) [93][3160/3757] lr: 1.000e-04 eta: 2:02:58 time: 0.255 data_time: 0.030 memory: 6404 grad_norm: 8.6823 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0171 loss: 1.0171 2022/06/30 18:51:17 - mmengine - INFO - Epoch(train) [93][3180/3757] lr: 1.000e-04 eta: 2:02:53 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 11.6694 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9186 loss: 0.9186 2022/06/30 18:51:24 - mmengine - INFO - Epoch(train) [93][3200/3757] lr: 1.000e-04 eta: 2:02:47 time: 0.249 data_time: 0.048 memory: 6404 grad_norm: 10.0428 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0669 loss: 1.0669 2022/06/30 18:51:29 - mmengine - INFO - Epoch(train) [93][3220/3757] lr: 1.000e-04 eta: 2:02:42 time: 0.256 data_time: 0.020 memory: 6404 grad_norm: 10.0507 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1262 loss: 1.1262 2022/06/30 18:51:34 - mmengine - INFO - Epoch(train) [93][3240/3757] lr: 1.000e-04 eta: 2:02:36 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 9.0809 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0326 loss: 1.0326 2022/06/30 18:51:39 - mmengine - INFO - Epoch(train) [93][3260/3757] lr: 1.000e-04 eta: 2:02:31 time: 0.253 data_time: 0.019 memory: 6404 grad_norm: 10.4158 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1813 loss: 1.1813 2022/06/30 18:51:45 - mmengine - INFO - Epoch(train) [93][3280/3757] lr: 1.000e-04 eta: 2:02:25 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 10.7582 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1666 loss: 1.1666 2022/06/30 18:51:51 - mmengine - INFO - Epoch(train) [93][3300/3757] lr: 1.000e-04 eta: 2:02:20 time: 0.261 data_time: 0.016 memory: 6404 grad_norm: 9.2947 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0466 loss: 1.0466 2022/06/30 18:51:56 - mmengine - INFO - Epoch(train) [93][3320/3757] lr: 1.000e-04 eta: 2:02:14 time: 0.251 data_time: 0.021 memory: 6404 grad_norm: 9.6052 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1410 loss: 1.1410 2022/06/30 18:52:02 - mmengine - INFO - Epoch(train) [93][3340/3757] lr: 1.000e-04 eta: 2:02:09 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 9.1840 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2302 loss: 1.2302 2022/06/30 18:52:06 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 18:52:07 - mmengine - INFO - Epoch(train) [93][3360/3757] lr: 1.000e-04 eta: 2:02:03 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 10.9290 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9431 loss: 0.9431 2022/06/30 18:52:12 - mmengine - INFO - Epoch(train) [93][3380/3757] lr: 1.000e-04 eta: 2:01:58 time: 0.259 data_time: 0.019 memory: 6404 grad_norm: 9.3874 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9932 loss: 0.9932 2022/06/30 18:52:18 - mmengine - INFO - Epoch(train) [93][3400/3757] lr: 1.000e-04 eta: 2:01:53 time: 0.249 data_time: 0.014 memory: 6404 grad_norm: 9.9061 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9884 loss: 0.9884 2022/06/30 18:52:24 - mmengine - INFO - Epoch(train) [93][3420/3757] lr: 1.000e-04 eta: 2:01:47 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 9.1861 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8055 loss: 0.8055 2022/06/30 18:52:29 - mmengine - INFO - Epoch(train) [93][3440/3757] lr: 1.000e-04 eta: 2:01:42 time: 0.257 data_time: 0.023 memory: 6404 grad_norm: 8.7250 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9269 loss: 0.9269 2022/06/30 18:52:34 - mmengine - INFO - Epoch(train) [93][3460/3757] lr: 1.000e-04 eta: 2:01:36 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 8.3058 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8057 loss: 0.8057 2022/06/30 18:52:40 - mmengine - INFO - Epoch(train) [93][3480/3757] lr: 1.000e-04 eta: 2:01:31 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 7.0534 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1474 loss: 1.1474 2022/06/30 18:52:46 - mmengine - INFO - Epoch(train) [93][3500/3757] lr: 1.000e-04 eta: 2:01:25 time: 0.253 data_time: 0.023 memory: 6404 grad_norm: 10.2017 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8984 loss: 0.8984 2022/06/30 18:52:51 - mmengine - INFO - Epoch(train) [93][3520/3757] lr: 1.000e-04 eta: 2:01:20 time: 0.258 data_time: 0.016 memory: 6404 grad_norm: 8.6662 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8764 loss: 0.8764 2022/06/30 18:52:56 - mmengine - INFO - Epoch(train) [93][3540/3757] lr: 1.000e-04 eta: 2:01:14 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 12.1177 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9676 loss: 0.9676 2022/06/30 18:53:02 - mmengine - INFO - Epoch(train) [93][3560/3757] lr: 1.000e-04 eta: 2:01:09 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 10.6621 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2797 loss: 1.2797 2022/06/30 18:53:07 - mmengine - INFO - Epoch(train) [93][3580/3757] lr: 1.000e-04 eta: 2:01:03 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 11.1665 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1755 loss: 1.1755 2022/06/30 18:53:13 - mmengine - INFO - Epoch(train) [93][3600/3757] lr: 1.000e-04 eta: 2:00:58 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 8.9055 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8637 loss: 0.8637 2022/06/30 18:53:18 - mmengine - INFO - Epoch(train) [93][3620/3757] lr: 1.000e-04 eta: 2:00:52 time: 0.256 data_time: 0.020 memory: 6404 grad_norm: 8.3567 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9765 loss: 0.9765 2022/06/30 18:53:24 - mmengine - INFO - Epoch(train) [93][3640/3757] lr: 1.000e-04 eta: 2:00:47 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 7.4413 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0384 loss: 1.0384 2022/06/30 18:53:29 - mmengine - INFO - Epoch(train) [93][3660/3757] lr: 1.000e-04 eta: 2:00:41 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 8.3935 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8364 loss: 0.8364 2022/06/30 18:53:35 - mmengine - INFO - Epoch(train) [93][3680/3757] lr: 1.000e-04 eta: 2:00:36 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.4009 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0902 loss: 1.0902 2022/06/30 18:53:40 - mmengine - INFO - Epoch(train) [93][3700/3757] lr: 1.000e-04 eta: 2:00:30 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 7.6323 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9148 loss: 0.9148 2022/06/30 18:53:46 - mmengine - INFO - Epoch(train) [93][3720/3757] lr: 1.000e-04 eta: 2:00:25 time: 0.349 data_time: 0.007 memory: 6404 grad_norm: 8.2153 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7963 loss: 0.7963 2022/06/30 18:53:51 - mmengine - INFO - Epoch(train) [93][3740/3757] lr: 1.000e-04 eta: 2:00:19 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 7.7427 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0575 loss: 1.0575 2022/06/30 18:53:55 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 18:54:03 - mmengine - INFO - Epoch(val) [93][20/310] eta: 0:01:27 time: 0.103 data_time: 0.009 memory: 6404 2022/06/30 18:54:08 - mmengine - INFO - Epoch(val) [93][40/310] eta: 0:01:17 time: 0.098 data_time: 0.013 memory: 1479 2022/06/30 18:54:12 - mmengine - INFO - Epoch(val) [93][60/310] eta: 0:00:26 time: 0.100 data_time: 0.006 memory: 1479 2022/06/30 18:54:19 - mmengine - INFO - Epoch(val) [93][80/310] eta: 0:01:12 time: 0.113 data_time: 0.008 memory: 1479 2022/06/30 18:54:24 - mmengine - INFO - Epoch(val) [93][100/310] eta: 0:00:55 time: 0.213 data_time: 0.138 memory: 1479 2022/06/30 18:54:28 - mmengine - INFO - Epoch(val) [93][120/310] eta: 0:00:27 time: 0.087 data_time: 0.008 memory: 1479 2022/06/30 18:54:34 - mmengine - INFO - Epoch(val) [93][140/310] eta: 0:00:54 time: 0.084 data_time: 0.005 memory: 1479 2022/06/30 18:54:40 - mmengine - INFO - Epoch(val) [93][160/310] eta: 0:00:46 time: 1.196 data_time: 1.120 memory: 1479 2022/06/30 18:54:44 - mmengine - INFO - Epoch(val) [93][180/310] eta: 0:00:33 time: 0.098 data_time: 0.016 memory: 1479 2022/06/30 18:54:51 - mmengine - INFO - Epoch(val) [93][200/310] eta: 0:00:34 time: 0.091 data_time: 0.008 memory: 1479 2022/06/30 18:54:56 - mmengine - INFO - Epoch(val) [93][220/310] eta: 0:00:25 time: 0.088 data_time: 0.006 memory: 1479 2022/06/30 18:55:00 - mmengine - INFO - Epoch(val) [93][240/310] eta: 0:00:13 time: 0.085 data_time: 0.005 memory: 1479 2022/06/30 18:55:07 - mmengine - INFO - Epoch(val) [93][260/310] eta: 0:00:16 time: 0.095 data_time: 0.010 memory: 1479 2022/06/30 18:55:13 - mmengine - INFO - Epoch(val) [93][280/310] eta: 0:00:09 time: 0.089 data_time: 0.006 memory: 1479 2022/06/30 18:55:16 - mmengine - INFO - Epoch(val) [93][300/310] eta: 0:00:02 time: 0.085 data_time: 0.006 memory: 1479 2022/06/30 18:55:19 - mmengine - INFO - Epoch(val) [93][310/310] acc/top1: 0.6747 acc/top5: 0.8710 acc/mean1: 0.6746 2022/06/30 18:55:29 - mmengine - INFO - Epoch(train) [94][20/3757] lr: 1.000e-04 eta: 2:00:09 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 10.5350 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9809 loss: 0.9809 2022/06/30 18:55:34 - mmengine - INFO - Epoch(train) [94][40/3757] lr: 1.000e-04 eta: 2:00:04 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 8.3310 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 0.9435 loss: 0.9435 2022/06/30 18:55:40 - mmengine - INFO - Epoch(train) [94][60/3757] lr: 1.000e-04 eta: 1:59:58 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 7.9528 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8518 loss: 0.8518 2022/06/30 18:55:45 - mmengine - INFO - Epoch(train) [94][80/3757] lr: 1.000e-04 eta: 1:59:53 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 7.2443 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3680 loss: 1.3680 2022/06/30 18:55:51 - mmengine - INFO - Epoch(train) [94][100/3757] lr: 1.000e-04 eta: 1:59:47 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 8.1158 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8164 loss: 0.8164 2022/06/30 18:55:56 - mmengine - INFO - Epoch(train) [94][120/3757] lr: 1.000e-04 eta: 1:59:42 time: 0.268 data_time: 0.009 memory: 6404 grad_norm: 9.0829 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9277 loss: 0.9277 2022/06/30 18:56:02 - mmengine - INFO - Epoch(train) [94][140/3757] lr: 1.000e-04 eta: 1:59:36 time: 0.244 data_time: 0.011 memory: 6404 grad_norm: 7.4946 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0809 loss: 1.0809 2022/06/30 18:56:07 - mmengine - INFO - Epoch(train) [94][160/3757] lr: 1.000e-04 eta: 1:59:31 time: 0.273 data_time: 0.011 memory: 6404 grad_norm: 9.8616 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9157 loss: 0.9157 2022/06/30 18:56:13 - mmengine - INFO - Epoch(train) [94][180/3757] lr: 1.000e-04 eta: 1:59:25 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 11.6787 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1201 loss: 1.1201 2022/06/30 18:56:19 - mmengine - INFO - Epoch(train) [94][200/3757] lr: 1.000e-04 eta: 1:59:20 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 10.0900 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1626 loss: 1.1626 2022/06/30 18:56:24 - mmengine - INFO - Epoch(train) [94][220/3757] lr: 1.000e-04 eta: 1:59:14 time: 0.266 data_time: 0.007 memory: 6404 grad_norm: 7.8707 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7598 loss: 0.7598 2022/06/30 18:56:30 - mmengine - INFO - Epoch(train) [94][240/3757] lr: 1.000e-04 eta: 1:59:09 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 9.7288 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9486 loss: 0.9486 2022/06/30 18:56:35 - mmengine - INFO - Epoch(train) [94][260/3757] lr: 1.000e-04 eta: 1:59:03 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 10.1794 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1487 loss: 1.1487 2022/06/30 18:56:41 - mmengine - INFO - Epoch(train) [94][280/3757] lr: 1.000e-04 eta: 1:58:58 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 8.8510 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2190 loss: 1.2190 2022/06/30 18:56:46 - mmengine - INFO - Epoch(train) [94][300/3757] lr: 1.000e-04 eta: 1:58:52 time: 0.246 data_time: 0.009 memory: 6404 grad_norm: 10.0600 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6750 loss: 0.6750 2022/06/30 18:56:52 - mmengine - INFO - Epoch(train) [94][320/3757] lr: 1.000e-04 eta: 1:58:47 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.8420 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9755 loss: 0.9755 2022/06/30 18:56:57 - mmengine - INFO - Epoch(train) [94][340/3757] lr: 1.000e-04 eta: 1:58:41 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 9.5648 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8855 loss: 0.8855 2022/06/30 18:57:03 - mmengine - INFO - Epoch(train) [94][360/3757] lr: 1.000e-04 eta: 1:58:36 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 10.1913 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1090 loss: 1.1090 2022/06/30 18:57:08 - mmengine - INFO - Epoch(train) [94][380/3757] lr: 1.000e-04 eta: 1:58:30 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 10.8549 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9464 loss: 0.9464 2022/06/30 18:57:14 - mmengine - INFO - Epoch(train) [94][400/3757] lr: 1.000e-04 eta: 1:58:25 time: 0.240 data_time: 0.012 memory: 6404 grad_norm: 9.9629 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2376 loss: 1.2376 2022/06/30 18:57:19 - mmengine - INFO - Epoch(train) [94][420/3757] lr: 1.000e-04 eta: 1:58:19 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 9.4979 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8352 loss: 0.8352 2022/06/30 18:57:25 - mmengine - INFO - Epoch(train) [94][440/3757] lr: 1.000e-04 eta: 1:58:14 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 9.8059 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8046 loss: 0.8046 2022/06/30 18:57:30 - mmengine - INFO - Epoch(train) [94][460/3757] lr: 1.000e-04 eta: 1:58:08 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 8.8161 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.7672 loss: 0.7672 2022/06/30 18:57:36 - mmengine - INFO - Epoch(train) [94][480/3757] lr: 1.000e-04 eta: 1:58:03 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 11.0328 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7025 loss: 0.7025 2022/06/30 18:57:41 - mmengine - INFO - Epoch(train) [94][500/3757] lr: 1.000e-04 eta: 1:57:58 time: 0.481 data_time: 0.008 memory: 6404 grad_norm: 9.0025 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0656 loss: 1.0656 2022/06/30 18:57:47 - mmengine - INFO - Epoch(train) [94][520/3757] lr: 1.000e-04 eta: 1:57:52 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.7723 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2944 loss: 1.2944 2022/06/30 18:57:52 - mmengine - INFO - Epoch(train) [94][540/3757] lr: 1.000e-04 eta: 1:57:47 time: 0.246 data_time: 0.012 memory: 6404 grad_norm: 8.1276 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7131 loss: 0.7131 2022/06/30 18:57:58 - mmengine - INFO - Epoch(train) [94][560/3757] lr: 1.000e-04 eta: 1:57:41 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.7387 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8861 loss: 0.8861 2022/06/30 18:58:04 - mmengine - INFO - Epoch(train) [94][580/3757] lr: 1.000e-04 eta: 1:57:36 time: 0.270 data_time: 0.019 memory: 6404 grad_norm: 6.1985 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8648 loss: 0.8648 2022/06/30 18:58:09 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 18:58:09 - mmengine - INFO - Epoch(train) [94][600/3757] lr: 1.000e-04 eta: 1:57:30 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 8.6714 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2574 loss: 1.2574 2022/06/30 18:58:14 - mmengine - INFO - Epoch(train) [94][620/3757] lr: 1.000e-04 eta: 1:57:25 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 9.8872 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8123 loss: 0.8123 2022/06/30 18:58:20 - mmengine - INFO - Epoch(train) [94][640/3757] lr: 1.000e-04 eta: 1:57:19 time: 0.258 data_time: 0.018 memory: 6404 grad_norm: 8.7098 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9805 loss: 0.9805 2022/06/30 18:58:25 - mmengine - INFO - Epoch(train) [94][660/3757] lr: 1.000e-04 eta: 1:57:14 time: 0.246 data_time: 0.018 memory: 6404 grad_norm: 8.3232 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8975 loss: 0.8975 2022/06/30 18:58:31 - mmengine - INFO - Epoch(train) [94][680/3757] lr: 1.000e-04 eta: 1:57:08 time: 0.244 data_time: 0.007 memory: 6404 grad_norm: 7.9952 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8234 loss: 0.8234 2022/06/30 18:58:36 - mmengine - INFO - Epoch(train) [94][700/3757] lr: 1.000e-04 eta: 1:57:03 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 8.7508 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9198 loss: 0.9198 2022/06/30 18:58:41 - mmengine - INFO - Epoch(train) [94][720/3757] lr: 1.000e-04 eta: 1:56:57 time: 0.253 data_time: 0.015 memory: 6404 grad_norm: 9.6632 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8803 loss: 0.8803 2022/06/30 18:58:47 - mmengine - INFO - Epoch(train) [94][740/3757] lr: 1.000e-04 eta: 1:56:52 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 9.2000 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1554 loss: 1.1554 2022/06/30 18:58:52 - mmengine - INFO - Epoch(train) [94][760/3757] lr: 1.000e-04 eta: 1:56:46 time: 0.257 data_time: 0.015 memory: 6404 grad_norm: 8.0825 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8600 loss: 0.8600 2022/06/30 18:58:58 - mmengine - INFO - Epoch(train) [94][780/3757] lr: 1.000e-04 eta: 1:56:41 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 8.0297 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0319 loss: 1.0319 2022/06/30 18:59:03 - mmengine - INFO - Epoch(train) [94][800/3757] lr: 1.000e-04 eta: 1:56:35 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 10.7246 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6570 loss: 0.6570 2022/06/30 18:59:09 - mmengine - INFO - Epoch(train) [94][820/3757] lr: 1.000e-04 eta: 1:56:30 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 8.9978 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9921 loss: 0.9921 2022/06/30 18:59:14 - mmengine - INFO - Epoch(train) [94][840/3757] lr: 1.000e-04 eta: 1:56:24 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 10.3321 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0524 loss: 1.0524 2022/06/30 18:59:20 - mmengine - INFO - Epoch(train) [94][860/3757] lr: 1.000e-04 eta: 1:56:19 time: 0.318 data_time: 0.008 memory: 6404 grad_norm: 9.2141 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6913 loss: 0.6913 2022/06/30 18:59:26 - mmengine - INFO - Epoch(train) [94][880/3757] lr: 1.000e-04 eta: 1:56:13 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 6.8691 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7758 loss: 0.7758 2022/06/30 18:59:31 - mmengine - INFO - Epoch(train) [94][900/3757] lr: 1.000e-04 eta: 1:56:08 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 9.3031 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7442 loss: 0.7442 2022/06/30 18:59:36 - mmengine - INFO - Epoch(train) [94][920/3757] lr: 1.000e-04 eta: 1:56:02 time: 0.483 data_time: 0.007 memory: 6404 grad_norm: 7.4233 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0717 loss: 1.0717 2022/06/30 18:59:42 - mmengine - INFO - Epoch(train) [94][940/3757] lr: 1.000e-04 eta: 1:55:57 time: 0.246 data_time: 0.021 memory: 6404 grad_norm: 8.7399 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9695 loss: 0.9695 2022/06/30 18:59:47 - mmengine - INFO - Epoch(train) [94][960/3757] lr: 1.000e-04 eta: 1:55:51 time: 0.251 data_time: 0.022 memory: 6404 grad_norm: 9.1819 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9454 loss: 0.9454 2022/06/30 18:59:53 - mmengine - INFO - Epoch(train) [94][980/3757] lr: 1.000e-04 eta: 1:55:46 time: 0.277 data_time: 0.008 memory: 6404 grad_norm: 10.0239 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0671 loss: 1.0671 2022/06/30 18:59:58 - mmengine - INFO - Epoch(train) [94][1000/3757] lr: 1.000e-04 eta: 1:55:40 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 8.0226 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0729 loss: 1.0729 2022/06/30 19:00:04 - mmengine - INFO - Epoch(train) [94][1020/3757] lr: 1.000e-04 eta: 1:55:35 time: 0.260 data_time: 0.014 memory: 6404 grad_norm: 8.7650 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6567 loss: 0.6567 2022/06/30 19:00:09 - mmengine - INFO - Epoch(train) [94][1040/3757] lr: 1.000e-04 eta: 1:55:29 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 7.7964 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8860 loss: 0.8860 2022/06/30 19:00:15 - mmengine - INFO - Epoch(train) [94][1060/3757] lr: 1.000e-04 eta: 1:55:24 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 9.3932 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2270 loss: 1.2270 2022/06/30 19:00:20 - mmengine - INFO - Epoch(train) [94][1080/3757] lr: 1.000e-04 eta: 1:55:18 time: 0.248 data_time: 0.024 memory: 6404 grad_norm: 9.8164 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8820 loss: 0.8820 2022/06/30 19:00:26 - mmengine - INFO - Epoch(train) [94][1100/3757] lr: 1.000e-04 eta: 1:55:13 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 10.1492 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8199 loss: 0.8199 2022/06/30 19:00:32 - mmengine - INFO - Epoch(train) [94][1120/3757] lr: 1.000e-04 eta: 1:55:07 time: 0.537 data_time: 0.007 memory: 6404 grad_norm: 8.9668 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0113 loss: 1.0113 2022/06/30 19:00:37 - mmengine - INFO - Epoch(train) [94][1140/3757] lr: 1.000e-04 eta: 1:55:02 time: 0.252 data_time: 0.020 memory: 6404 grad_norm: 10.0855 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0980 loss: 1.0980 2022/06/30 19:00:43 - mmengine - INFO - Epoch(train) [94][1160/3757] lr: 1.000e-04 eta: 1:54:56 time: 0.277 data_time: 0.014 memory: 6404 grad_norm: 9.8269 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7273 loss: 0.7273 2022/06/30 19:00:48 - mmengine - INFO - Epoch(train) [94][1180/3757] lr: 1.000e-04 eta: 1:54:51 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 10.7722 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7511 loss: 0.7511 2022/06/30 19:00:54 - mmengine - INFO - Epoch(train) [94][1200/3757] lr: 1.000e-04 eta: 1:54:45 time: 0.272 data_time: 0.030 memory: 6404 grad_norm: 11.1776 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.8727 loss: 0.8727 2022/06/30 19:00:59 - mmengine - INFO - Epoch(train) [94][1220/3757] lr: 1.000e-04 eta: 1:54:40 time: 0.319 data_time: 0.021 memory: 6404 grad_norm: 11.3901 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1588 loss: 1.1588 2022/06/30 19:01:05 - mmengine - INFO - Epoch(train) [94][1240/3757] lr: 1.000e-04 eta: 1:54:34 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 8.2722 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9854 loss: 0.9854 2022/06/30 19:01:10 - mmengine - INFO - Epoch(train) [94][1260/3757] lr: 1.000e-04 eta: 1:54:29 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 9.0175 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9144 loss: 0.9144 2022/06/30 19:01:16 - mmengine - INFO - Epoch(train) [94][1280/3757] lr: 1.000e-04 eta: 1:54:23 time: 0.430 data_time: 0.056 memory: 6404 grad_norm: 8.8929 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1014 loss: 1.1014 2022/06/30 19:01:21 - mmengine - INFO - Epoch(train) [94][1300/3757] lr: 1.000e-04 eta: 1:54:18 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 9.9487 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1241 loss: 1.1241 2022/06/30 19:01:27 - mmengine - INFO - Epoch(train) [94][1320/3757] lr: 1.000e-04 eta: 1:54:12 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 8.4746 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2370 loss: 1.2370 2022/06/30 19:01:32 - mmengine - INFO - Epoch(train) [94][1340/3757] lr: 1.000e-04 eta: 1:54:07 time: 0.320 data_time: 0.039 memory: 6404 grad_norm: 8.3953 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0156 loss: 1.0156 2022/06/30 19:01:37 - mmengine - INFO - Epoch(train) [94][1360/3757] lr: 1.000e-04 eta: 1:54:02 time: 0.250 data_time: 0.006 memory: 6404 grad_norm: 7.8971 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6960 loss: 0.6960 2022/06/30 19:01:43 - mmengine - INFO - Epoch(train) [94][1380/3757] lr: 1.000e-04 eta: 1:53:56 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 9.9717 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9107 loss: 0.9107 2022/06/30 19:01:48 - mmengine - INFO - Epoch(train) [94][1400/3757] lr: 1.000e-04 eta: 1:53:50 time: 0.298 data_time: 0.010 memory: 6404 grad_norm: 8.4973 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9318 loss: 0.9318 2022/06/30 19:01:53 - mmengine - INFO - Epoch(train) [94][1420/3757] lr: 1.000e-04 eta: 1:53:45 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 9.8558 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9210 loss: 0.9210 2022/06/30 19:01:59 - mmengine - INFO - Epoch(train) [94][1440/3757] lr: 1.000e-04 eta: 1:53:40 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 8.0761 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9930 loss: 0.9930 2022/06/30 19:02:04 - mmengine - INFO - Epoch(train) [94][1460/3757] lr: 1.000e-04 eta: 1:53:34 time: 0.259 data_time: 0.021 memory: 6404 grad_norm: 8.5053 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7334 loss: 0.7334 2022/06/30 19:02:10 - mmengine - INFO - Epoch(train) [94][1480/3757] lr: 1.000e-04 eta: 1:53:29 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 7.5335 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1766 loss: 1.1766 2022/06/30 19:02:15 - mmengine - INFO - Epoch(train) [94][1500/3757] lr: 1.000e-04 eta: 1:53:23 time: 0.252 data_time: 0.019 memory: 6404 grad_norm: 9.7232 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1245 loss: 1.1245 2022/06/30 19:02:20 - mmengine - INFO - Epoch(train) [94][1520/3757] lr: 1.000e-04 eta: 1:53:18 time: 0.484 data_time: 0.011 memory: 6404 grad_norm: 8.4826 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3496 loss: 1.3496 2022/06/30 19:02:26 - mmengine - INFO - Epoch(train) [94][1540/3757] lr: 1.000e-04 eta: 1:53:12 time: 0.275 data_time: 0.011 memory: 6404 grad_norm: 9.4462 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8384 loss: 0.8384 2022/06/30 19:02:31 - mmengine - INFO - Epoch(train) [94][1560/3757] lr: 1.000e-04 eta: 1:53:07 time: 0.265 data_time: 0.011 memory: 6404 grad_norm: 9.8147 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0601 loss: 1.0601 2022/06/30 19:02:37 - mmengine - INFO - Epoch(train) [94][1580/3757] lr: 1.000e-04 eta: 1:53:01 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 10.5645 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3990 loss: 1.3990 2022/06/30 19:02:42 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 19:02:42 - mmengine - INFO - Epoch(train) [94][1600/3757] lr: 1.000e-04 eta: 1:52:56 time: 0.274 data_time: 0.012 memory: 6404 grad_norm: 10.3394 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8060 loss: 0.8060 2022/06/30 19:02:48 - mmengine - INFO - Epoch(train) [94][1620/3757] lr: 1.000e-04 eta: 1:52:50 time: 0.265 data_time: 0.017 memory: 6404 grad_norm: 9.4670 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0057 loss: 1.0057 2022/06/30 19:02:54 - mmengine - INFO - Epoch(train) [94][1640/3757] lr: 1.000e-04 eta: 1:52:45 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 9.8212 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9497 loss: 0.9497 2022/06/30 19:02:59 - mmengine - INFO - Epoch(train) [94][1660/3757] lr: 1.000e-04 eta: 1:52:39 time: 0.273 data_time: 0.074 memory: 6404 grad_norm: 8.5991 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4013 loss: 1.4013 2022/06/30 19:03:04 - mmengine - INFO - Epoch(train) [94][1680/3757] lr: 1.000e-04 eta: 1:52:34 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 8.6085 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3091 loss: 1.3091 2022/06/30 19:03:10 - mmengine - INFO - Epoch(train) [94][1700/3757] lr: 1.000e-04 eta: 1:52:28 time: 0.270 data_time: 0.014 memory: 6404 grad_norm: 8.8330 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8494 loss: 0.8494 2022/06/30 19:03:16 - mmengine - INFO - Epoch(train) [94][1720/3757] lr: 1.000e-04 eta: 1:52:23 time: 0.259 data_time: 0.015 memory: 6404 grad_norm: 9.3373 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9455 loss: 0.9455 2022/06/30 19:03:21 - mmengine - INFO - Epoch(train) [94][1740/3757] lr: 1.000e-04 eta: 1:52:17 time: 0.255 data_time: 0.016 memory: 6404 grad_norm: 9.4882 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8346 loss: 0.8346 2022/06/30 19:03:26 - mmengine - INFO - Epoch(train) [94][1760/3757] lr: 1.000e-04 eta: 1:52:12 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 8.3580 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3418 loss: 1.3418 2022/06/30 19:03:32 - mmengine - INFO - Epoch(train) [94][1780/3757] lr: 1.000e-04 eta: 1:52:06 time: 0.708 data_time: 0.024 memory: 6404 grad_norm: 9.7581 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9921 loss: 0.9921 2022/06/30 19:03:37 - mmengine - INFO - Epoch(train) [94][1800/3757] lr: 1.000e-04 eta: 1:52:01 time: 0.266 data_time: 0.008 memory: 6404 grad_norm: 9.1645 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2967 loss: 1.2967 2022/06/30 19:03:43 - mmengine - INFO - Epoch(train) [94][1820/3757] lr: 1.000e-04 eta: 1:51:55 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 8.0713 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9528 loss: 0.9528 2022/06/30 19:03:48 - mmengine - INFO - Epoch(train) [94][1840/3757] lr: 1.000e-04 eta: 1:51:50 time: 0.306 data_time: 0.015 memory: 6404 grad_norm: 9.5665 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0512 loss: 1.0512 2022/06/30 19:03:54 - mmengine - INFO - Epoch(train) [94][1860/3757] lr: 1.000e-04 eta: 1:51:44 time: 0.247 data_time: 0.010 memory: 6404 grad_norm: 8.1972 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7168 loss: 0.7168 2022/06/30 19:04:00 - mmengine - INFO - Epoch(train) [94][1880/3757] lr: 1.000e-04 eta: 1:51:39 time: 0.259 data_time: 0.013 memory: 6404 grad_norm: 10.0875 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3768 loss: 1.3768 2022/06/30 19:04:05 - mmengine - INFO - Epoch(train) [94][1900/3757] lr: 1.000e-04 eta: 1:51:33 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 9.1014 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7716 loss: 0.7716 2022/06/30 19:04:10 - mmengine - INFO - Epoch(train) [94][1920/3757] lr: 1.000e-04 eta: 1:51:28 time: 0.262 data_time: 0.015 memory: 6404 grad_norm: 7.7282 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9936 loss: 0.9936 2022/06/30 19:04:15 - mmengine - INFO - Epoch(train) [94][1940/3757] lr: 1.000e-04 eta: 1:51:22 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 9.1515 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0626 loss: 1.0626 2022/06/30 19:04:20 - mmengine - INFO - Epoch(train) [94][1960/3757] lr: 1.000e-04 eta: 1:51:17 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 9.0368 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0576 loss: 1.0576 2022/06/30 19:04:26 - mmengine - INFO - Epoch(train) [94][1980/3757] lr: 1.000e-04 eta: 1:51:11 time: 0.260 data_time: 0.013 memory: 6404 grad_norm: 11.0884 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8925 loss: 0.8925 2022/06/30 19:04:31 - mmengine - INFO - Epoch(train) [94][2000/3757] lr: 1.000e-04 eta: 1:51:06 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 8.7440 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1375 loss: 1.1375 2022/06/30 19:04:37 - mmengine - INFO - Epoch(train) [94][2020/3757] lr: 1.000e-04 eta: 1:51:00 time: 0.302 data_time: 0.008 memory: 6404 grad_norm: 10.0138 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1443 loss: 1.1443 2022/06/30 19:04:42 - mmengine - INFO - Epoch(train) [94][2040/3757] lr: 1.000e-04 eta: 1:50:55 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.0665 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3598 loss: 1.3598 2022/06/30 19:04:48 - mmengine - INFO - Epoch(train) [94][2060/3757] lr: 1.000e-04 eta: 1:50:49 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 8.6166 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9569 loss: 0.9569 2022/06/30 19:04:53 - mmengine - INFO - Epoch(train) [94][2080/3757] lr: 1.000e-04 eta: 1:50:44 time: 0.276 data_time: 0.008 memory: 6404 grad_norm: 10.5089 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8473 loss: 0.8473 2022/06/30 19:04:59 - mmengine - INFO - Epoch(train) [94][2100/3757] lr: 1.000e-04 eta: 1:50:38 time: 0.249 data_time: 0.010 memory: 6404 grad_norm: 10.8716 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0863 loss: 1.0863 2022/06/30 19:05:04 - mmengine - INFO - Epoch(train) [94][2120/3757] lr: 1.000e-04 eta: 1:50:33 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 8.8224 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7875 loss: 0.7875 2022/06/30 19:05:09 - mmengine - INFO - Epoch(train) [94][2140/3757] lr: 1.000e-04 eta: 1:50:27 time: 0.341 data_time: 0.008 memory: 6404 grad_norm: 8.4870 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9779 loss: 0.9779 2022/06/30 19:05:15 - mmengine - INFO - Epoch(train) [94][2160/3757] lr: 1.000e-04 eta: 1:50:22 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 8.3067 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9854 loss: 0.9854 2022/06/30 19:05:21 - mmengine - INFO - Epoch(train) [94][2180/3757] lr: 1.000e-04 eta: 1:50:16 time: 0.244 data_time: 0.014 memory: 6404 grad_norm: 8.5301 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0549 loss: 1.0549 2022/06/30 19:05:26 - mmengine - INFO - Epoch(train) [94][2200/3757] lr: 1.000e-04 eta: 1:50:11 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 9.9281 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0051 loss: 1.0051 2022/06/30 19:05:31 - mmengine - INFO - Epoch(train) [94][2220/3757] lr: 1.000e-04 eta: 1:50:05 time: 0.263 data_time: 0.011 memory: 6404 grad_norm: 8.8019 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9639 loss: 0.9639 2022/06/30 19:05:37 - mmengine - INFO - Epoch(train) [94][2240/3757] lr: 1.000e-04 eta: 1:50:00 time: 0.257 data_time: 0.016 memory: 6404 grad_norm: 9.1692 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8414 loss: 0.8414 2022/06/30 19:05:43 - mmengine - INFO - Epoch(train) [94][2260/3757] lr: 1.000e-04 eta: 1:49:54 time: 0.266 data_time: 0.008 memory: 6404 grad_norm: 6.8274 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0367 loss: 1.0367 2022/06/30 19:05:48 - mmengine - INFO - Epoch(train) [94][2280/3757] lr: 1.000e-04 eta: 1:49:49 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 7.6667 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4692 loss: 1.4692 2022/06/30 19:05:54 - mmengine - INFO - Epoch(train) [94][2300/3757] lr: 1.000e-04 eta: 1:49:43 time: 0.261 data_time: 0.017 memory: 6404 grad_norm: 10.7624 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0094 loss: 1.0094 2022/06/30 19:05:59 - mmengine - INFO - Epoch(train) [94][2320/3757] lr: 1.000e-04 eta: 1:49:38 time: 0.353 data_time: 0.007 memory: 6404 grad_norm: 10.1206 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9985 loss: 0.9985 2022/06/30 19:06:04 - mmengine - INFO - Epoch(train) [94][2340/3757] lr: 1.000e-04 eta: 1:49:32 time: 0.272 data_time: 0.007 memory: 6404 grad_norm: 8.4933 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1058 loss: 1.1058 2022/06/30 19:06:10 - mmengine - INFO - Epoch(train) [94][2360/3757] lr: 1.000e-04 eta: 1:49:27 time: 0.264 data_time: 0.021 memory: 6404 grad_norm: 10.4622 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8031 loss: 0.8031 2022/06/30 19:06:16 - mmengine - INFO - Epoch(train) [94][2380/3757] lr: 1.000e-04 eta: 1:49:21 time: 0.284 data_time: 0.008 memory: 6404 grad_norm: 8.5127 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2910 loss: 1.2910 2022/06/30 19:06:21 - mmengine - INFO - Epoch(train) [94][2400/3757] lr: 1.000e-04 eta: 1:49:16 time: 0.277 data_time: 0.009 memory: 6404 grad_norm: 8.8639 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9475 loss: 0.9475 2022/06/30 19:06:26 - mmengine - INFO - Epoch(train) [94][2420/3757] lr: 1.000e-04 eta: 1:49:10 time: 0.252 data_time: 0.023 memory: 6404 grad_norm: 9.5887 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9038 loss: 0.9038 2022/06/30 19:06:32 - mmengine - INFO - Epoch(train) [94][2440/3757] lr: 1.000e-04 eta: 1:49:05 time: 0.498 data_time: 0.011 memory: 6404 grad_norm: 8.1047 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2227 loss: 1.2227 2022/06/30 19:06:37 - mmengine - INFO - Epoch(train) [94][2460/3757] lr: 1.000e-04 eta: 1:49:00 time: 0.256 data_time: 0.018 memory: 6404 grad_norm: 7.7143 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9722 loss: 0.9722 2022/06/30 19:06:43 - mmengine - INFO - Epoch(train) [94][2480/3757] lr: 1.000e-04 eta: 1:48:54 time: 0.255 data_time: 0.023 memory: 6404 grad_norm: 11.7591 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6511 loss: 0.6511 2022/06/30 19:06:48 - mmengine - INFO - Epoch(train) [94][2500/3757] lr: 1.000e-04 eta: 1:48:48 time: 0.267 data_time: 0.011 memory: 6404 grad_norm: 9.3227 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2732 loss: 1.2732 2022/06/30 19:06:53 - mmengine - INFO - Epoch(train) [94][2520/3757] lr: 1.000e-04 eta: 1:48:43 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.5990 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0234 loss: 1.0234 2022/06/30 19:06:59 - mmengine - INFO - Epoch(train) [94][2540/3757] lr: 1.000e-04 eta: 1:48:38 time: 0.241 data_time: 0.032 memory: 6404 grad_norm: 7.9662 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7003 loss: 0.7003 2022/06/30 19:07:04 - mmengine - INFO - Epoch(train) [94][2560/3757] lr: 1.000e-04 eta: 1:48:32 time: 0.270 data_time: 0.015 memory: 6404 grad_norm: 6.2503 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2428 loss: 1.2428 2022/06/30 19:07:09 - mmengine - INFO - Epoch(train) [94][2580/3757] lr: 1.000e-04 eta: 1:48:26 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 8.9106 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3060 loss: 1.3060 2022/06/30 19:07:14 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 19:07:15 - mmengine - INFO - Epoch(train) [94][2600/3757] lr: 1.000e-04 eta: 1:48:21 time: 0.264 data_time: 0.025 memory: 6404 grad_norm: 9.5309 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9449 loss: 0.9449 2022/06/30 19:07:20 - mmengine - INFO - Epoch(train) [94][2620/3757] lr: 1.000e-04 eta: 1:48:16 time: 0.263 data_time: 0.010 memory: 6404 grad_norm: 9.1175 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2208 loss: 1.2208 2022/06/30 19:07:25 - mmengine - INFO - Epoch(train) [94][2640/3757] lr: 1.000e-04 eta: 1:48:10 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 11.8853 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0952 loss: 1.0952 2022/06/30 19:07:32 - mmengine - INFO - Epoch(train) [94][2660/3757] lr: 1.000e-04 eta: 1:48:05 time: 1.003 data_time: 0.813 memory: 6404 grad_norm: 10.5800 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0741 loss: 1.0741 2022/06/30 19:07:38 - mmengine - INFO - Epoch(train) [94][2680/3757] lr: 1.000e-04 eta: 1:47:59 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 8.6969 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1691 loss: 1.1691 2022/06/30 19:07:43 - mmengine - INFO - Epoch(train) [94][2700/3757] lr: 1.000e-04 eta: 1:47:54 time: 0.268 data_time: 0.015 memory: 6404 grad_norm: 9.4888 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7963 loss: 0.7963 2022/06/30 19:07:48 - mmengine - INFO - Epoch(train) [94][2720/3757] lr: 1.000e-04 eta: 1:47:48 time: 0.257 data_time: 0.032 memory: 6404 grad_norm: 9.2619 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0943 loss: 1.0943 2022/06/30 19:07:54 - mmengine - INFO - Epoch(train) [94][2740/3757] lr: 1.000e-04 eta: 1:47:43 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 8.7955 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9811 loss: 0.9811 2022/06/30 19:07:59 - mmengine - INFO - Epoch(train) [94][2760/3757] lr: 1.000e-04 eta: 1:47:37 time: 0.263 data_time: 0.013 memory: 6404 grad_norm: 9.0461 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0265 loss: 1.0265 2022/06/30 19:08:05 - mmengine - INFO - Epoch(train) [94][2780/3757] lr: 1.000e-04 eta: 1:47:32 time: 0.267 data_time: 0.059 memory: 6404 grad_norm: 9.6020 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0197 loss: 1.0197 2022/06/30 19:08:10 - mmengine - INFO - Epoch(train) [94][2800/3757] lr: 1.000e-04 eta: 1:47:26 time: 0.272 data_time: 0.013 memory: 6404 grad_norm: 8.9914 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1147 loss: 1.1147 2022/06/30 19:08:15 - mmengine - INFO - Epoch(train) [94][2820/3757] lr: 1.000e-04 eta: 1:47:21 time: 0.258 data_time: 0.006 memory: 6404 grad_norm: 7.8934 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7967 loss: 0.7967 2022/06/30 19:08:21 - mmengine - INFO - Epoch(train) [94][2840/3757] lr: 1.000e-04 eta: 1:47:15 time: 0.290 data_time: 0.016 memory: 6404 grad_norm: 9.3844 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7040 loss: 0.7040 2022/06/30 19:08:26 - mmengine - INFO - Epoch(train) [94][2860/3757] lr: 1.000e-04 eta: 1:47:10 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 8.4701 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0912 loss: 1.0912 2022/06/30 19:08:31 - mmengine - INFO - Epoch(train) [94][2880/3757] lr: 1.000e-04 eta: 1:47:04 time: 0.263 data_time: 0.040 memory: 6404 grad_norm: 10.6225 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0728 loss: 1.0728 2022/06/30 19:08:36 - mmengine - INFO - Epoch(train) [94][2900/3757] lr: 1.000e-04 eta: 1:46:59 time: 0.263 data_time: 0.016 memory: 6404 grad_norm: 8.2383 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2420 loss: 1.2420 2022/06/30 19:08:42 - mmengine - INFO - Epoch(train) [94][2920/3757] lr: 1.000e-04 eta: 1:46:53 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 9.5525 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.8334 loss: 0.8334 2022/06/30 19:08:47 - mmengine - INFO - Epoch(train) [94][2940/3757] lr: 1.000e-04 eta: 1:46:48 time: 0.329 data_time: 0.016 memory: 6404 grad_norm: 10.7299 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0505 loss: 1.0505 2022/06/30 19:08:53 - mmengine - INFO - Epoch(train) [94][2960/3757] lr: 1.000e-04 eta: 1:46:42 time: 0.331 data_time: 0.064 memory: 6404 grad_norm: 8.7145 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9402 loss: 0.9402 2022/06/30 19:08:58 - mmengine - INFO - Epoch(train) [94][2980/3757] lr: 1.000e-04 eta: 1:46:37 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 11.2949 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0406 loss: 1.0406 2022/06/30 19:09:04 - mmengine - INFO - Epoch(train) [94][3000/3757] lr: 1.000e-04 eta: 1:46:31 time: 0.441 data_time: 0.011 memory: 6404 grad_norm: 7.7349 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8650 loss: 0.8650 2022/06/30 19:09:09 - mmengine - INFO - Epoch(train) [94][3020/3757] lr: 1.000e-04 eta: 1:46:26 time: 0.255 data_time: 0.020 memory: 6404 grad_norm: 12.0275 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 0.9690 loss: 0.9690 2022/06/30 19:09:15 - mmengine - INFO - Epoch(train) [94][3040/3757] lr: 1.000e-04 eta: 1:46:20 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 10.4218 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8256 loss: 0.8256 2022/06/30 19:09:21 - mmengine - INFO - Epoch(train) [94][3060/3757] lr: 1.000e-04 eta: 1:46:15 time: 0.279 data_time: 0.035 memory: 6404 grad_norm: 8.9565 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9753 loss: 0.9753 2022/06/30 19:09:26 - mmengine - INFO - Epoch(train) [94][3080/3757] lr: 1.000e-04 eta: 1:46:09 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 8.2311 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8071 loss: 0.8071 2022/06/30 19:09:32 - mmengine - INFO - Epoch(train) [94][3100/3757] lr: 1.000e-04 eta: 1:46:04 time: 0.266 data_time: 0.012 memory: 6404 grad_norm: 11.0429 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2508 loss: 1.2508 2022/06/30 19:09:37 - mmengine - INFO - Epoch(train) [94][3120/3757] lr: 1.000e-04 eta: 1:45:58 time: 0.266 data_time: 0.008 memory: 6404 grad_norm: 10.3136 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1557 loss: 1.1557 2022/06/30 19:09:43 - mmengine - INFO - Epoch(train) [94][3140/3757] lr: 1.000e-04 eta: 1:45:53 time: 0.257 data_time: 0.021 memory: 6404 grad_norm: 6.8402 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0528 loss: 1.0528 2022/06/30 19:09:48 - mmengine - INFO - Epoch(train) [94][3160/3757] lr: 1.000e-04 eta: 1:45:47 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 7.8804 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2861 loss: 1.2861 2022/06/30 19:09:54 - mmengine - INFO - Epoch(train) [94][3180/3757] lr: 1.000e-04 eta: 1:45:42 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 10.3202 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1432 loss: 1.1432 2022/06/30 19:09:59 - mmengine - INFO - Epoch(train) [94][3200/3757] lr: 1.000e-04 eta: 1:45:36 time: 0.253 data_time: 0.053 memory: 6404 grad_norm: 9.6240 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9158 loss: 0.9158 2022/06/30 19:10:05 - mmengine - INFO - Epoch(train) [94][3220/3757] lr: 1.000e-04 eta: 1:45:31 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 9.3486 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0086 loss: 1.0086 2022/06/30 19:10:10 - mmengine - INFO - Epoch(train) [94][3240/3757] lr: 1.000e-04 eta: 1:45:25 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.7098 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8368 loss: 0.8368 2022/06/30 19:10:16 - mmengine - INFO - Epoch(train) [94][3260/3757] lr: 1.000e-04 eta: 1:45:20 time: 0.252 data_time: 0.057 memory: 6404 grad_norm: 8.9952 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8812 loss: 0.8812 2022/06/30 19:10:21 - mmengine - INFO - Epoch(train) [94][3280/3757] lr: 1.000e-04 eta: 1:45:14 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 10.0140 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7478 loss: 0.7478 2022/06/30 19:10:27 - mmengine - INFO - Epoch(train) [94][3300/3757] lr: 1.000e-04 eta: 1:45:09 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 7.9069 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1609 loss: 1.1609 2022/06/30 19:10:33 - mmengine - INFO - Epoch(train) [94][3320/3757] lr: 1.000e-04 eta: 1:45:03 time: 0.816 data_time: 0.028 memory: 6404 grad_norm: 10.7021 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9156 loss: 0.9156 2022/06/30 19:10:38 - mmengine - INFO - Epoch(train) [94][3340/3757] lr: 1.000e-04 eta: 1:44:58 time: 0.257 data_time: 0.016 memory: 6404 grad_norm: 9.7282 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0723 loss: 1.0723 2022/06/30 19:10:44 - mmengine - INFO - Epoch(train) [94][3360/3757] lr: 1.000e-04 eta: 1:44:52 time: 0.490 data_time: 0.011 memory: 6404 grad_norm: 9.4194 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8900 loss: 0.8900 2022/06/30 19:10:49 - mmengine - INFO - Epoch(train) [94][3380/3757] lr: 1.000e-04 eta: 1:44:47 time: 0.266 data_time: 0.011 memory: 6404 grad_norm: 9.1689 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1189 loss: 1.1189 2022/06/30 19:10:55 - mmengine - INFO - Epoch(train) [94][3400/3757] lr: 1.000e-04 eta: 1:44:42 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 10.5632 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8464 loss: 0.8464 2022/06/30 19:11:00 - mmengine - INFO - Epoch(train) [94][3420/3757] lr: 1.000e-04 eta: 1:44:36 time: 0.351 data_time: 0.007 memory: 6404 grad_norm: 7.7190 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8427 loss: 0.8427 2022/06/30 19:11:06 - mmengine - INFO - Epoch(train) [94][3440/3757] lr: 1.000e-04 eta: 1:44:31 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 10.8841 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9933 loss: 0.9933 2022/06/30 19:11:11 - mmengine - INFO - Epoch(train) [94][3460/3757] lr: 1.000e-04 eta: 1:44:25 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 9.3432 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0689 loss: 1.0689 2022/06/30 19:11:16 - mmengine - INFO - Epoch(train) [94][3480/3757] lr: 1.000e-04 eta: 1:44:20 time: 0.318 data_time: 0.008 memory: 6404 grad_norm: 10.0983 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2381 loss: 1.2381 2022/06/30 19:11:22 - mmengine - INFO - Epoch(train) [94][3500/3757] lr: 1.000e-04 eta: 1:44:14 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 9.5211 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9406 loss: 0.9406 2022/06/30 19:11:28 - mmengine - INFO - Epoch(train) [94][3520/3757] lr: 1.000e-04 eta: 1:44:09 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 8.4505 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1331 loss: 1.1331 2022/06/30 19:11:34 - mmengine - INFO - Epoch(train) [94][3540/3757] lr: 1.000e-04 eta: 1:44:03 time: 0.286 data_time: 0.008 memory: 6404 grad_norm: 8.8578 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7323 loss: 0.7323 2022/06/30 19:11:39 - mmengine - INFO - Epoch(train) [94][3560/3757] lr: 1.000e-04 eta: 1:43:58 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 8.9865 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1307 loss: 1.1307 2022/06/30 19:11:44 - mmengine - INFO - Epoch(train) [94][3580/3757] lr: 1.000e-04 eta: 1:43:52 time: 0.258 data_time: 0.044 memory: 6404 grad_norm: 8.9390 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9900 loss: 0.9900 2022/06/30 19:11:49 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 19:11:50 - mmengine - INFO - Epoch(train) [94][3600/3757] lr: 1.000e-04 eta: 1:43:47 time: 0.518 data_time: 0.019 memory: 6404 grad_norm: 9.6181 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1614 loss: 1.1614 2022/06/30 19:11:56 - mmengine - INFO - Epoch(train) [94][3620/3757] lr: 1.000e-04 eta: 1:43:41 time: 0.298 data_time: 0.007 memory: 6404 grad_norm: 10.1473 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8574 loss: 0.8574 2022/06/30 19:12:01 - mmengine - INFO - Epoch(train) [94][3640/3757] lr: 1.000e-04 eta: 1:43:36 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 9.5228 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1859 loss: 1.1859 2022/06/30 19:12:07 - mmengine - INFO - Epoch(train) [94][3660/3757] lr: 1.000e-04 eta: 1:43:30 time: 0.273 data_time: 0.039 memory: 6404 grad_norm: 7.8265 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1817 loss: 1.1817 2022/06/30 19:12:12 - mmengine - INFO - Epoch(train) [94][3680/3757] lr: 1.000e-04 eta: 1:43:25 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 8.7191 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1912 loss: 1.1912 2022/06/30 19:12:18 - mmengine - INFO - Epoch(train) [94][3700/3757] lr: 1.000e-04 eta: 1:43:19 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 9.6957 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8320 loss: 0.8320 2022/06/30 19:12:23 - mmengine - INFO - Epoch(train) [94][3720/3757] lr: 1.000e-04 eta: 1:43:14 time: 0.265 data_time: 0.011 memory: 6404 grad_norm: 8.7184 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4056 loss: 1.4056 2022/06/30 19:12:29 - mmengine - INFO - Epoch(train) [94][3740/3757] lr: 1.000e-04 eta: 1:43:08 time: 0.263 data_time: 0.023 memory: 6404 grad_norm: 8.6292 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2417 loss: 1.2417 2022/06/30 19:12:33 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 19:12:40 - mmengine - INFO - Epoch(val) [94][20/310] eta: 0:01:27 time: 0.097 data_time: 0.019 memory: 6404 2022/06/30 19:12:45 - mmengine - INFO - Epoch(val) [94][40/310] eta: 0:01:12 time: 0.147 data_time: 0.070 memory: 1479 2022/06/30 19:12:49 - mmengine - INFO - Epoch(val) [94][60/310] eta: 0:00:22 time: 0.091 data_time: 0.008 memory: 1479 2022/06/30 19:12:55 - mmengine - INFO - Epoch(val) [94][80/310] eta: 0:01:13 time: 0.092 data_time: 0.009 memory: 1479 2022/06/30 19:13:02 - mmengine - INFO - Epoch(val) [94][100/310] eta: 0:01:05 time: 0.094 data_time: 0.011 memory: 1479 2022/06/30 19:13:05 - mmengine - INFO - Epoch(val) [94][120/310] eta: 0:00:16 time: 0.094 data_time: 0.005 memory: 1479 2022/06/30 19:13:11 - mmengine - INFO - Epoch(val) [94][140/310] eta: 0:00:55 time: 0.082 data_time: 0.006 memory: 1479 2022/06/30 19:13:18 - mmengine - INFO - Epoch(val) [94][160/310] eta: 0:00:47 time: 1.625 data_time: 1.545 memory: 1479 2022/06/30 19:13:22 - mmengine - INFO - Epoch(val) [94][180/310] eta: 0:00:37 time: 0.100 data_time: 0.014 memory: 1479 2022/06/30 19:13:28 - mmengine - INFO - Epoch(val) [94][200/310] eta: 0:00:34 time: 0.082 data_time: 0.007 memory: 1479 2022/06/30 19:13:34 - mmengine - INFO - Epoch(val) [94][220/310] eta: 0:00:26 time: 0.641 data_time: 0.555 memory: 1479 2022/06/30 19:13:37 - mmengine - INFO - Epoch(val) [94][240/310] eta: 0:00:18 time: 0.078 data_time: 0.005 memory: 1479 2022/06/30 19:13:43 - mmengine - INFO - Epoch(val) [94][260/310] eta: 0:00:16 time: 0.086 data_time: 0.007 memory: 1479 2022/06/30 19:13:50 - mmengine - INFO - Epoch(val) [94][280/310] eta: 0:00:09 time: 0.717 data_time: 0.633 memory: 1479 2022/06/30 19:13:54 - mmengine - INFO - Epoch(val) [94][300/310] eta: 0:00:03 time: 0.091 data_time: 0.007 memory: 1479 2022/06/30 19:13:56 - mmengine - INFO - Epoch(val) [94][310/310] acc/top1: 0.6763 acc/top5: 0.8723 acc/mean1: 0.6762 2022/06/30 19:14:06 - mmengine - INFO - Epoch(train) [95][20/3757] lr: 1.000e-04 eta: 1:42:58 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 9.0409 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9700 loss: 0.9700 2022/06/30 19:14:12 - mmengine - INFO - Epoch(train) [95][40/3757] lr: 1.000e-04 eta: 1:42:53 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.7027 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7379 loss: 0.7379 2022/06/30 19:14:17 - mmengine - INFO - Epoch(train) [95][60/3757] lr: 1.000e-04 eta: 1:42:47 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 8.9653 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7487 loss: 0.7487 2022/06/30 19:14:23 - mmengine - INFO - Epoch(train) [95][80/3757] lr: 1.000e-04 eta: 1:42:42 time: 0.283 data_time: 0.007 memory: 6404 grad_norm: 9.0581 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9047 loss: 0.9047 2022/06/30 19:14:28 - mmengine - INFO - Epoch(train) [95][100/3757] lr: 1.000e-04 eta: 1:42:36 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.1551 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0897 loss: 1.0897 2022/06/30 19:14:33 - mmengine - INFO - Epoch(train) [95][120/3757] lr: 1.000e-04 eta: 1:42:31 time: 0.478 data_time: 0.011 memory: 6404 grad_norm: 7.3412 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8458 loss: 0.8458 2022/06/30 19:14:38 - mmengine - INFO - Epoch(train) [95][140/3757] lr: 1.000e-04 eta: 1:42:25 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 9.1630 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0482 loss: 1.0482 2022/06/30 19:14:44 - mmengine - INFO - Epoch(train) [95][160/3757] lr: 1.000e-04 eta: 1:42:20 time: 0.265 data_time: 0.011 memory: 6404 grad_norm: 11.5384 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1493 loss: 1.1493 2022/06/30 19:14:49 - mmengine - INFO - Epoch(train) [95][180/3757] lr: 1.000e-04 eta: 1:42:14 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 9.5978 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1539 loss: 1.1539 2022/06/30 19:14:55 - mmengine - INFO - Epoch(train) [95][200/3757] lr: 1.000e-04 eta: 1:42:09 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 7.9958 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8984 loss: 0.8984 2022/06/30 19:15:00 - mmengine - INFO - Epoch(train) [95][220/3757] lr: 1.000e-04 eta: 1:42:03 time: 0.267 data_time: 0.009 memory: 6404 grad_norm: 9.1727 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1048 loss: 1.1048 2022/06/30 19:15:06 - mmengine - INFO - Epoch(train) [95][240/3757] lr: 1.000e-04 eta: 1:41:58 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 9.8224 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8867 loss: 0.8867 2022/06/30 19:15:11 - mmengine - INFO - Epoch(train) [95][260/3757] lr: 1.000e-04 eta: 1:41:52 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 9.1952 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2858 loss: 1.2858 2022/06/30 19:15:17 - mmengine - INFO - Epoch(train) [95][280/3757] lr: 1.000e-04 eta: 1:41:47 time: 0.264 data_time: 0.010 memory: 6404 grad_norm: 10.5912 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4235 loss: 1.4235 2022/06/30 19:15:23 - mmengine - INFO - Epoch(train) [95][300/3757] lr: 1.000e-04 eta: 1:41:41 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 9.4820 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0150 loss: 1.0150 2022/06/30 19:15:28 - mmengine - INFO - Epoch(train) [95][320/3757] lr: 1.000e-04 eta: 1:41:36 time: 0.263 data_time: 0.012 memory: 6404 grad_norm: 10.7974 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1391 loss: 1.1391 2022/06/30 19:15:33 - mmengine - INFO - Epoch(train) [95][340/3757] lr: 1.000e-04 eta: 1:41:30 time: 0.285 data_time: 0.059 memory: 6404 grad_norm: 10.9103 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0668 loss: 1.0668 2022/06/30 19:15:38 - mmengine - INFO - Epoch(train) [95][360/3757] lr: 1.000e-04 eta: 1:41:25 time: 0.257 data_time: 0.016 memory: 6404 grad_norm: 8.6142 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9817 loss: 0.9817 2022/06/30 19:15:44 - mmengine - INFO - Epoch(train) [95][380/3757] lr: 1.000e-04 eta: 1:41:19 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 9.2315 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7930 loss: 0.7930 2022/06/30 19:15:49 - mmengine - INFO - Epoch(train) [95][400/3757] lr: 1.000e-04 eta: 1:41:14 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 10.2438 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8180 loss: 0.8180 2022/06/30 19:15:55 - mmengine - INFO - Epoch(train) [95][420/3757] lr: 1.000e-04 eta: 1:41:08 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 9.8216 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1984 loss: 1.1984 2022/06/30 19:16:01 - mmengine - INFO - Epoch(train) [95][440/3757] lr: 1.000e-04 eta: 1:41:03 time: 0.243 data_time: 0.009 memory: 6404 grad_norm: 9.2116 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3965 loss: 1.3965 2022/06/30 19:16:07 - mmengine - INFO - Epoch(train) [95][460/3757] lr: 1.000e-04 eta: 1:40:57 time: 0.301 data_time: 0.008 memory: 6404 grad_norm: 8.8529 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0127 loss: 1.0127 2022/06/30 19:16:12 - mmengine - INFO - Epoch(train) [95][480/3757] lr: 1.000e-04 eta: 1:40:52 time: 0.253 data_time: 0.017 memory: 6404 grad_norm: 10.7098 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1551 loss: 1.1551 2022/06/30 19:16:17 - mmengine - INFO - Epoch(train) [95][500/3757] lr: 1.000e-04 eta: 1:40:46 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 11.0798 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9908 loss: 0.9908 2022/06/30 19:16:23 - mmengine - INFO - Epoch(train) [95][520/3757] lr: 1.000e-04 eta: 1:40:41 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 10.1158 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1702 loss: 1.1702 2022/06/30 19:16:28 - mmengine - INFO - Epoch(train) [95][540/3757] lr: 1.000e-04 eta: 1:40:35 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 10.4300 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9063 loss: 0.9063 2022/06/30 19:16:34 - mmengine - INFO - Epoch(train) [95][560/3757] lr: 1.000e-04 eta: 1:40:30 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 9.3198 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0252 loss: 1.0252 2022/06/30 19:16:39 - mmengine - INFO - Epoch(train) [95][580/3757] lr: 1.000e-04 eta: 1:40:24 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 8.8620 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7275 loss: 0.7275 2022/06/30 19:16:44 - mmengine - INFO - Epoch(train) [95][600/3757] lr: 1.000e-04 eta: 1:40:19 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 10.3660 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0135 loss: 1.0135 2022/06/30 19:16:49 - mmengine - INFO - Epoch(train) [95][620/3757] lr: 1.000e-04 eta: 1:40:13 time: 0.259 data_time: 0.023 memory: 6404 grad_norm: 9.1270 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0292 loss: 1.0292 2022/06/30 19:16:55 - mmengine - INFO - Epoch(train) [95][640/3757] lr: 1.000e-04 eta: 1:40:08 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 11.3923 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9004 loss: 0.9004 2022/06/30 19:17:00 - mmengine - INFO - Epoch(train) [95][660/3757] lr: 1.000e-04 eta: 1:40:02 time: 0.263 data_time: 0.015 memory: 6404 grad_norm: 8.7882 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1311 loss: 1.1311 2022/06/30 19:17:06 - mmengine - INFO - Epoch(train) [95][680/3757] lr: 1.000e-04 eta: 1:39:57 time: 0.254 data_time: 0.018 memory: 6404 grad_norm: 9.9996 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8953 loss: 0.8953 2022/06/30 19:17:12 - mmengine - INFO - Epoch(train) [95][700/3757] lr: 1.000e-04 eta: 1:39:52 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 10.2274 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2273 loss: 1.2273 2022/06/30 19:17:17 - mmengine - INFO - Epoch(train) [95][720/3757] lr: 1.000e-04 eta: 1:39:46 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 6.8377 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1792 loss: 1.1792 2022/06/30 19:17:22 - mmengine - INFO - Epoch(train) [95][740/3757] lr: 1.000e-04 eta: 1:39:41 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 8.5262 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1089 loss: 1.1089 2022/06/30 19:17:28 - mmengine - INFO - Epoch(train) [95][760/3757] lr: 1.000e-04 eta: 1:39:35 time: 0.266 data_time: 0.008 memory: 6404 grad_norm: 8.8778 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6772 loss: 0.6772 2022/06/30 19:17:33 - mmengine - INFO - Epoch(train) [95][780/3757] lr: 1.000e-04 eta: 1:39:30 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 8.8002 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1548 loss: 1.1548 2022/06/30 19:17:38 - mmengine - INFO - Epoch(train) [95][800/3757] lr: 1.000e-04 eta: 1:39:24 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.3165 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0347 loss: 1.0347 2022/06/30 19:17:44 - mmengine - INFO - Epoch(train) [95][820/3757] lr: 1.000e-04 eta: 1:39:19 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.5359 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1592 loss: 1.1592 2022/06/30 19:17:49 - mmengine - INFO - Epoch(train) [95][840/3757] lr: 1.000e-04 eta: 1:39:13 time: 0.266 data_time: 0.012 memory: 6404 grad_norm: 8.0906 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9629 loss: 0.9629 2022/06/30 19:17:50 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 19:17:55 - mmengine - INFO - Epoch(train) [95][860/3757] lr: 1.000e-04 eta: 1:39:08 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 9.0420 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8916 loss: 0.8916 2022/06/30 19:18:00 - mmengine - INFO - Epoch(train) [95][880/3757] lr: 1.000e-04 eta: 1:39:02 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 6.8507 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2757 loss: 1.2757 2022/06/30 19:18:06 - mmengine - INFO - Epoch(train) [95][900/3757] lr: 1.000e-04 eta: 1:38:57 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 7.7389 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0190 loss: 1.0190 2022/06/30 19:18:12 - mmengine - INFO - Epoch(train) [95][920/3757] lr: 1.000e-04 eta: 1:38:51 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.6970 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9038 loss: 0.9038 2022/06/30 19:18:17 - mmengine - INFO - Epoch(train) [95][940/3757] lr: 1.000e-04 eta: 1:38:46 time: 0.270 data_time: 0.010 memory: 6404 grad_norm: 9.2099 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8608 loss: 0.8608 2022/06/30 19:18:22 - mmengine - INFO - Epoch(train) [95][960/3757] lr: 1.000e-04 eta: 1:38:40 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 10.8851 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7249 loss: 0.7249 2022/06/30 19:18:28 - mmengine - INFO - Epoch(train) [95][980/3757] lr: 1.000e-04 eta: 1:38:35 time: 0.394 data_time: 0.008 memory: 6404 grad_norm: 8.7984 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8840 loss: 0.8840 2022/06/30 19:18:33 - mmengine - INFO - Epoch(train) [95][1000/3757] lr: 1.000e-04 eta: 1:38:29 time: 0.262 data_time: 0.009 memory: 6404 grad_norm: 10.1274 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8579 loss: 0.8579 2022/06/30 19:18:39 - mmengine - INFO - Epoch(train) [95][1020/3757] lr: 1.000e-04 eta: 1:38:24 time: 0.267 data_time: 0.010 memory: 6404 grad_norm: 9.3490 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1120 loss: 1.1120 2022/06/30 19:18:44 - mmengine - INFO - Epoch(train) [95][1040/3757] lr: 1.000e-04 eta: 1:38:18 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 9.9452 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1784 loss: 1.1784 2022/06/30 19:18:50 - mmengine - INFO - Epoch(train) [95][1060/3757] lr: 1.000e-04 eta: 1:38:13 time: 0.289 data_time: 0.008 memory: 6404 grad_norm: 8.8417 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6113 loss: 0.6113 2022/06/30 19:18:55 - mmengine - INFO - Epoch(train) [95][1080/3757] lr: 1.000e-04 eta: 1:38:07 time: 0.275 data_time: 0.007 memory: 6404 grad_norm: 9.9976 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0236 loss: 1.0236 2022/06/30 19:19:01 - mmengine - INFO - Epoch(train) [95][1100/3757] lr: 1.000e-04 eta: 1:38:02 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 8.8788 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1567 loss: 1.1567 2022/06/30 19:19:06 - mmengine - INFO - Epoch(train) [95][1120/3757] lr: 1.000e-04 eta: 1:37:56 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 9.8839 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9297 loss: 0.9297 2022/06/30 19:19:12 - mmengine - INFO - Epoch(train) [95][1140/3757] lr: 1.000e-04 eta: 1:37:51 time: 0.271 data_time: 0.007 memory: 6404 grad_norm: 9.8462 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7343 loss: 0.7343 2022/06/30 19:19:18 - mmengine - INFO - Epoch(train) [95][1160/3757] lr: 1.000e-04 eta: 1:37:45 time: 0.273 data_time: 0.011 memory: 6404 grad_norm: 7.7620 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6799 loss: 0.6799 2022/06/30 19:19:23 - mmengine - INFO - Epoch(train) [95][1180/3757] lr: 1.000e-04 eta: 1:37:40 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 7.8522 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2501 loss: 1.2501 2022/06/30 19:19:28 - mmengine - INFO - Epoch(train) [95][1200/3757] lr: 1.000e-04 eta: 1:37:34 time: 0.269 data_time: 0.013 memory: 6404 grad_norm: 10.1779 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9451 loss: 0.9451 2022/06/30 19:19:34 - mmengine - INFO - Epoch(train) [95][1220/3757] lr: 1.000e-04 eta: 1:37:29 time: 0.413 data_time: 0.025 memory: 6404 grad_norm: 8.6507 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0218 loss: 1.0218 2022/06/30 19:19:39 - mmengine - INFO - Epoch(train) [95][1240/3757] lr: 1.000e-04 eta: 1:37:23 time: 0.267 data_time: 0.014 memory: 6404 grad_norm: 7.8804 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2750 loss: 1.2750 2022/06/30 19:19:45 - mmengine - INFO - Epoch(train) [95][1260/3757] lr: 1.000e-04 eta: 1:37:18 time: 0.491 data_time: 0.009 memory: 6404 grad_norm: 8.7041 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8522 loss: 0.8522 2022/06/30 19:19:50 - mmengine - INFO - Epoch(train) [95][1280/3757] lr: 1.000e-04 eta: 1:37:12 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 9.7787 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9285 loss: 0.9285 2022/06/30 19:19:56 - mmengine - INFO - Epoch(train) [95][1300/3757] lr: 1.000e-04 eta: 1:37:07 time: 0.263 data_time: 0.015 memory: 6404 grad_norm: 10.0784 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8217 loss: 0.8217 2022/06/30 19:20:01 - mmengine - INFO - Epoch(train) [95][1320/3757] lr: 1.000e-04 eta: 1:37:01 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 8.4004 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0318 loss: 1.0318 2022/06/30 19:20:07 - mmengine - INFO - Epoch(train) [95][1340/3757] lr: 1.000e-04 eta: 1:36:56 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 10.3354 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9937 loss: 0.9937 2022/06/30 19:20:12 - mmengine - INFO - Epoch(train) [95][1360/3757] lr: 1.000e-04 eta: 1:36:50 time: 0.251 data_time: 0.024 memory: 6404 grad_norm: 8.2907 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0593 loss: 1.0593 2022/06/30 19:20:18 - mmengine - INFO - Epoch(train) [95][1380/3757] lr: 1.000e-04 eta: 1:36:45 time: 0.241 data_time: 0.016 memory: 6404 grad_norm: 10.4600 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.3655 loss: 1.3655 2022/06/30 19:20:24 - mmengine - INFO - Epoch(train) [95][1400/3757] lr: 1.000e-04 eta: 1:36:39 time: 0.307 data_time: 0.007 memory: 6404 grad_norm: 9.4057 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1203 loss: 1.1203 2022/06/30 19:20:29 - mmengine - INFO - Epoch(train) [95][1420/3757] lr: 1.000e-04 eta: 1:36:34 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 9.7445 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6842 loss: 0.6842 2022/06/30 19:20:35 - mmengine - INFO - Epoch(train) [95][1440/3757] lr: 1.000e-04 eta: 1:36:28 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 9.5253 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1916 loss: 1.1916 2022/06/30 19:20:40 - mmengine - INFO - Epoch(train) [95][1460/3757] lr: 1.000e-04 eta: 1:36:23 time: 0.280 data_time: 0.007 memory: 6404 grad_norm: 11.1019 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7046 loss: 0.7046 2022/06/30 19:20:45 - mmengine - INFO - Epoch(train) [95][1480/3757] lr: 1.000e-04 eta: 1:36:17 time: 0.254 data_time: 0.021 memory: 6404 grad_norm: 10.1912 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8589 loss: 0.8589 2022/06/30 19:20:51 - mmengine - INFO - Epoch(train) [95][1500/3757] lr: 1.000e-04 eta: 1:36:12 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 11.1819 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0470 loss: 1.0470 2022/06/30 19:20:56 - mmengine - INFO - Epoch(train) [95][1520/3757] lr: 1.000e-04 eta: 1:36:06 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 9.8953 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1131 loss: 1.1131 2022/06/30 19:21:01 - mmengine - INFO - Epoch(train) [95][1540/3757] lr: 1.000e-04 eta: 1:36:01 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 10.0145 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6897 loss: 0.6897 2022/06/30 19:21:07 - mmengine - INFO - Epoch(train) [95][1560/3757] lr: 1.000e-04 eta: 1:35:56 time: 0.244 data_time: 0.009 memory: 6404 grad_norm: 10.5129 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0098 loss: 1.0098 2022/06/30 19:21:12 - mmengine - INFO - Epoch(train) [95][1580/3757] lr: 1.000e-04 eta: 1:35:50 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 11.0508 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6414 loss: 0.6414 2022/06/30 19:21:18 - mmengine - INFO - Epoch(train) [95][1600/3757] lr: 1.000e-04 eta: 1:35:45 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 9.5531 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.8540 loss: 0.8540 2022/06/30 19:21:24 - mmengine - INFO - Epoch(train) [95][1620/3757] lr: 1.000e-04 eta: 1:35:39 time: 0.456 data_time: 0.010 memory: 6404 grad_norm: 9.0236 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7534 loss: 0.7534 2022/06/30 19:21:29 - mmengine - INFO - Epoch(train) [95][1640/3757] lr: 1.000e-04 eta: 1:35:34 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 9.1259 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0180 loss: 1.0180 2022/06/30 19:21:35 - mmengine - INFO - Epoch(train) [95][1660/3757] lr: 1.000e-04 eta: 1:35:28 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 7.8221 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8210 loss: 0.8210 2022/06/30 19:21:40 - mmengine - INFO - Epoch(train) [95][1680/3757] lr: 1.000e-04 eta: 1:35:23 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 9.9679 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0137 loss: 1.0137 2022/06/30 19:21:45 - mmengine - INFO - Epoch(train) [95][1700/3757] lr: 1.000e-04 eta: 1:35:17 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 7.5829 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1933 loss: 1.1933 2022/06/30 19:21:51 - mmengine - INFO - Epoch(train) [95][1720/3757] lr: 1.000e-04 eta: 1:35:12 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 9.8456 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8426 loss: 0.8426 2022/06/30 19:21:56 - mmengine - INFO - Epoch(train) [95][1740/3757] lr: 1.000e-04 eta: 1:35:06 time: 0.240 data_time: 0.011 memory: 6404 grad_norm: 7.3216 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0204 loss: 1.0204 2022/06/30 19:22:01 - mmengine - INFO - Epoch(train) [95][1760/3757] lr: 1.000e-04 eta: 1:35:01 time: 0.266 data_time: 0.009 memory: 6404 grad_norm: 9.8294 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9777 loss: 0.9777 2022/06/30 19:22:07 - mmengine - INFO - Epoch(train) [95][1780/3757] lr: 1.000e-04 eta: 1:34:55 time: 0.252 data_time: 0.017 memory: 6404 grad_norm: 9.4714 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8211 loss: 0.8211 2022/06/30 19:22:12 - mmengine - INFO - Epoch(train) [95][1800/3757] lr: 1.000e-04 eta: 1:34:50 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 10.7528 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9326 loss: 0.9326 2022/06/30 19:22:17 - mmengine - INFO - Epoch(train) [95][1820/3757] lr: 1.000e-04 eta: 1:34:44 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 9.7058 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2626 loss: 1.2626 2022/06/30 19:22:23 - mmengine - INFO - Epoch(train) [95][1840/3757] lr: 1.000e-04 eta: 1:34:39 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 6.9022 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0133 loss: 1.0133 2022/06/30 19:22:24 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 19:22:29 - mmengine - INFO - Epoch(train) [95][1860/3757] lr: 1.000e-04 eta: 1:34:33 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 10.2146 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8565 loss: 0.8565 2022/06/30 19:22:34 - mmengine - INFO - Epoch(train) [95][1880/3757] lr: 1.000e-04 eta: 1:34:28 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 10.7027 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8853 loss: 0.8853 2022/06/30 19:22:40 - mmengine - INFO - Epoch(train) [95][1900/3757] lr: 1.000e-04 eta: 1:34:22 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 8.9479 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7923 loss: 0.7923 2022/06/30 19:22:45 - mmengine - INFO - Epoch(train) [95][1920/3757] lr: 1.000e-04 eta: 1:34:17 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 8.7398 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0512 loss: 1.0512 2022/06/30 19:22:51 - mmengine - INFO - Epoch(train) [95][1940/3757] lr: 1.000e-04 eta: 1:34:11 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 10.1850 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9116 loss: 0.9116 2022/06/30 19:22:56 - mmengine - INFO - Epoch(train) [95][1960/3757] lr: 1.000e-04 eta: 1:34:06 time: 0.263 data_time: 0.008 memory: 6404 grad_norm: 10.2065 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9859 loss: 0.9859 2022/06/30 19:23:02 - mmengine - INFO - Epoch(train) [95][1980/3757] lr: 1.000e-04 eta: 1:34:00 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 10.5042 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0609 loss: 1.0609 2022/06/30 19:23:08 - mmengine - INFO - Epoch(train) [95][2000/3757] lr: 1.000e-04 eta: 1:33:55 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 8.9774 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1987 loss: 1.1987 2022/06/30 19:23:13 - mmengine - INFO - Epoch(train) [95][2020/3757] lr: 1.000e-04 eta: 1:33:49 time: 0.262 data_time: 0.010 memory: 6404 grad_norm: 9.0412 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1251 loss: 1.1251 2022/06/30 19:23:19 - mmengine - INFO - Epoch(train) [95][2040/3757] lr: 1.000e-04 eta: 1:33:44 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 8.3636 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9418 loss: 0.9418 2022/06/30 19:23:25 - mmengine - INFO - Epoch(train) [95][2060/3757] lr: 1.000e-04 eta: 1:33:38 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 9.5478 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0140 loss: 1.0140 2022/06/30 19:23:30 - mmengine - INFO - Epoch(train) [95][2080/3757] lr: 1.000e-04 eta: 1:33:33 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 10.8889 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2463 loss: 1.2463 2022/06/30 19:23:36 - mmengine - INFO - Epoch(train) [95][2100/3757] lr: 1.000e-04 eta: 1:33:27 time: 0.261 data_time: 0.017 memory: 6404 grad_norm: 8.1594 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8751 loss: 0.8751 2022/06/30 19:23:41 - mmengine - INFO - Epoch(train) [95][2120/3757] lr: 1.000e-04 eta: 1:33:22 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 10.4764 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1851 loss: 1.1851 2022/06/30 19:23:46 - mmengine - INFO - Epoch(train) [95][2140/3757] lr: 1.000e-04 eta: 1:33:16 time: 0.262 data_time: 0.017 memory: 6404 grad_norm: 9.2270 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0407 loss: 1.0407 2022/06/30 19:23:52 - mmengine - INFO - Epoch(train) [95][2160/3757] lr: 1.000e-04 eta: 1:33:11 time: 0.304 data_time: 0.017 memory: 6404 grad_norm: 7.8692 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9528 loss: 0.9528 2022/06/30 19:23:57 - mmengine - INFO - Epoch(train) [95][2180/3757] lr: 1.000e-04 eta: 1:33:05 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 9.1316 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9534 loss: 0.9534 2022/06/30 19:24:02 - mmengine - INFO - Epoch(train) [95][2200/3757] lr: 1.000e-04 eta: 1:33:00 time: 0.260 data_time: 0.016 memory: 6404 grad_norm: 9.4701 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9526 loss: 0.9526 2022/06/30 19:24:08 - mmengine - INFO - Epoch(train) [95][2220/3757] lr: 1.000e-04 eta: 1:32:54 time: 0.261 data_time: 0.018 memory: 6404 grad_norm: 11.5184 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8288 loss: 0.8288 2022/06/30 19:24:13 - mmengine - INFO - Epoch(train) [95][2240/3757] lr: 1.000e-04 eta: 1:32:49 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 7.1346 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1596 loss: 1.1596 2022/06/30 19:24:18 - mmengine - INFO - Epoch(train) [95][2260/3757] lr: 1.000e-04 eta: 1:32:43 time: 0.242 data_time: 0.012 memory: 6404 grad_norm: 7.7009 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8806 loss: 0.8806 2022/06/30 19:24:23 - mmengine - INFO - Epoch(train) [95][2280/3757] lr: 1.000e-04 eta: 1:32:38 time: 0.251 data_time: 0.015 memory: 6404 grad_norm: 8.0427 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1904 loss: 1.1904 2022/06/30 19:24:29 - mmengine - INFO - Epoch(train) [95][2300/3757] lr: 1.000e-04 eta: 1:32:32 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.2022 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7447 loss: 0.7447 2022/06/30 19:24:34 - mmengine - INFO - Epoch(train) [95][2320/3757] lr: 1.000e-04 eta: 1:32:27 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 9.5618 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0427 loss: 1.0427 2022/06/30 19:24:40 - mmengine - INFO - Epoch(train) [95][2340/3757] lr: 1.000e-04 eta: 1:32:21 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 9.7196 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9822 loss: 0.9822 2022/06/30 19:24:46 - mmengine - INFO - Epoch(train) [95][2360/3757] lr: 1.000e-04 eta: 1:32:16 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 8.1409 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1092 loss: 1.1092 2022/06/30 19:24:51 - mmengine - INFO - Epoch(train) [95][2380/3757] lr: 1.000e-04 eta: 1:32:10 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 8.1806 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0769 loss: 1.0769 2022/06/30 19:24:56 - mmengine - INFO - Epoch(train) [95][2400/3757] lr: 1.000e-04 eta: 1:32:05 time: 0.254 data_time: 0.015 memory: 6404 grad_norm: 8.8136 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9014 loss: 0.9014 2022/06/30 19:25:02 - mmengine - INFO - Epoch(train) [95][2420/3757] lr: 1.000e-04 eta: 1:31:59 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 9.2122 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0610 loss: 1.0610 2022/06/30 19:25:07 - mmengine - INFO - Epoch(train) [95][2440/3757] lr: 1.000e-04 eta: 1:31:54 time: 0.535 data_time: 0.008 memory: 6404 grad_norm: 8.7639 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8379 loss: 0.8379 2022/06/30 19:25:13 - mmengine - INFO - Epoch(train) [95][2460/3757] lr: 1.000e-04 eta: 1:31:49 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 8.2254 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8693 loss: 0.8693 2022/06/30 19:25:19 - mmengine - INFO - Epoch(train) [95][2480/3757] lr: 1.000e-04 eta: 1:31:43 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 7.5570 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0738 loss: 1.0738 2022/06/30 19:25:24 - mmengine - INFO - Epoch(train) [95][2500/3757] lr: 1.000e-04 eta: 1:31:38 time: 0.491 data_time: 0.006 memory: 6404 grad_norm: 7.9813 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0582 loss: 1.0582 2022/06/30 19:25:30 - mmengine - INFO - Epoch(train) [95][2520/3757] lr: 1.000e-04 eta: 1:31:32 time: 0.255 data_time: 0.014 memory: 6404 grad_norm: 8.0525 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7815 loss: 0.7815 2022/06/30 19:25:35 - mmengine - INFO - Epoch(train) [95][2540/3757] lr: 1.000e-04 eta: 1:31:27 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 9.2626 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2040 loss: 1.2040 2022/06/30 19:25:40 - mmengine - INFO - Epoch(train) [95][2560/3757] lr: 1.000e-04 eta: 1:31:21 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 9.2618 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8773 loss: 0.8773 2022/06/30 19:25:46 - mmengine - INFO - Epoch(train) [95][2580/3757] lr: 1.000e-04 eta: 1:31:16 time: 0.259 data_time: 0.013 memory: 6404 grad_norm: 9.0004 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1461 loss: 1.1461 2022/06/30 19:25:51 - mmengine - INFO - Epoch(train) [95][2600/3757] lr: 1.000e-04 eta: 1:31:10 time: 0.289 data_time: 0.007 memory: 6404 grad_norm: 10.9676 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8467 loss: 0.8467 2022/06/30 19:25:57 - mmengine - INFO - Epoch(train) [95][2620/3757] lr: 1.000e-04 eta: 1:31:05 time: 0.562 data_time: 0.009 memory: 6404 grad_norm: 10.1620 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5524 loss: 0.5524 2022/06/30 19:26:03 - mmengine - INFO - Epoch(train) [95][2640/3757] lr: 1.000e-04 eta: 1:30:59 time: 0.254 data_time: 0.016 memory: 6404 grad_norm: 8.3634 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9825 loss: 0.9825 2022/06/30 19:26:08 - mmengine - INFO - Epoch(train) [95][2660/3757] lr: 1.000e-04 eta: 1:30:54 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 8.9274 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0575 loss: 1.0575 2022/06/30 19:26:13 - mmengine - INFO - Epoch(train) [95][2680/3757] lr: 1.000e-04 eta: 1:30:48 time: 0.267 data_time: 0.012 memory: 6404 grad_norm: 9.3272 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0467 loss: 1.0467 2022/06/30 19:26:19 - mmengine - INFO - Epoch(train) [95][2700/3757] lr: 1.000e-04 eta: 1:30:43 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 9.5189 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8678 loss: 0.8678 2022/06/30 19:26:25 - mmengine - INFO - Epoch(train) [95][2720/3757] lr: 1.000e-04 eta: 1:30:37 time: 0.738 data_time: 0.007 memory: 6404 grad_norm: 11.0681 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0482 loss: 1.0482 2022/06/30 19:26:30 - mmengine - INFO - Epoch(train) [95][2740/3757] lr: 1.000e-04 eta: 1:30:32 time: 0.246 data_time: 0.020 memory: 6404 grad_norm: 10.5795 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6420 loss: 0.6420 2022/06/30 19:26:35 - mmengine - INFO - Epoch(train) [95][2760/3757] lr: 1.000e-04 eta: 1:30:26 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 8.5644 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9308 loss: 0.9308 2022/06/30 19:26:41 - mmengine - INFO - Epoch(train) [95][2780/3757] lr: 1.000e-04 eta: 1:30:21 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 9.6965 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9849 loss: 0.9849 2022/06/30 19:26:46 - mmengine - INFO - Epoch(train) [95][2800/3757] lr: 1.000e-04 eta: 1:30:15 time: 0.306 data_time: 0.025 memory: 6404 grad_norm: 8.2356 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0372 loss: 1.0372 2022/06/30 19:26:51 - mmengine - INFO - Epoch(train) [95][2820/3757] lr: 1.000e-04 eta: 1:30:10 time: 0.255 data_time: 0.015 memory: 6404 grad_norm: 8.5200 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3578 loss: 1.3578 2022/06/30 19:26:57 - mmengine - INFO - Epoch(train) [95][2840/3757] lr: 1.000e-04 eta: 1:30:04 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 9.2693 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.7313 loss: 0.7313 2022/06/30 19:26:57 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 19:27:02 - mmengine - INFO - Epoch(train) [95][2860/3757] lr: 1.000e-04 eta: 1:29:59 time: 0.268 data_time: 0.017 memory: 6404 grad_norm: 8.4586 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7738 loss: 0.7738 2022/06/30 19:27:08 - mmengine - INFO - Epoch(train) [95][2880/3757] lr: 1.000e-04 eta: 1:29:53 time: 0.278 data_time: 0.010 memory: 6404 grad_norm: 9.2537 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9919 loss: 0.9919 2022/06/30 19:27:14 - mmengine - INFO - Epoch(train) [95][2900/3757] lr: 1.000e-04 eta: 1:29:48 time: 0.293 data_time: 0.009 memory: 6404 grad_norm: 9.5971 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0227 loss: 1.0227 2022/06/30 19:27:19 - mmengine - INFO - Epoch(train) [95][2920/3757] lr: 1.000e-04 eta: 1:29:42 time: 0.292 data_time: 0.022 memory: 6404 grad_norm: 8.6068 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0093 loss: 1.0093 2022/06/30 19:27:25 - mmengine - INFO - Epoch(train) [95][2940/3757] lr: 1.000e-04 eta: 1:29:37 time: 0.304 data_time: 0.019 memory: 6404 grad_norm: 8.5567 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0120 loss: 1.0120 2022/06/30 19:27:30 - mmengine - INFO - Epoch(train) [95][2960/3757] lr: 1.000e-04 eta: 1:29:31 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 8.1899 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1411 loss: 1.1411 2022/06/30 19:27:36 - mmengine - INFO - Epoch(train) [95][2980/3757] lr: 1.000e-04 eta: 1:29:26 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 9.7210 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0271 loss: 1.0271 2022/06/30 19:27:41 - mmengine - INFO - Epoch(train) [95][3000/3757] lr: 1.000e-04 eta: 1:29:20 time: 0.309 data_time: 0.009 memory: 6404 grad_norm: 9.5289 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0503 loss: 1.0503 2022/06/30 19:27:47 - mmengine - INFO - Epoch(train) [95][3020/3757] lr: 1.000e-04 eta: 1:29:15 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 10.0665 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9833 loss: 0.9833 2022/06/30 19:27:52 - mmengine - INFO - Epoch(train) [95][3040/3757] lr: 1.000e-04 eta: 1:29:09 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 11.4544 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1873 loss: 1.1873 2022/06/30 19:27:58 - mmengine - INFO - Epoch(train) [95][3060/3757] lr: 1.000e-04 eta: 1:29:04 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 9.5778 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1629 loss: 1.1629 2022/06/30 19:28:03 - mmengine - INFO - Epoch(train) [95][3080/3757] lr: 1.000e-04 eta: 1:28:58 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 8.9355 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7977 loss: 0.7977 2022/06/30 19:28:09 - mmengine - INFO - Epoch(train) [95][3100/3757] lr: 1.000e-04 eta: 1:28:53 time: 0.253 data_time: 0.006 memory: 6404 grad_norm: 9.3575 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9814 loss: 0.9814 2022/06/30 19:28:14 - mmengine - INFO - Epoch(train) [95][3120/3757] lr: 1.000e-04 eta: 1:28:47 time: 0.262 data_time: 0.016 memory: 6404 grad_norm: 8.8173 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9184 loss: 0.9184 2022/06/30 19:28:19 - mmengine - INFO - Epoch(train) [95][3140/3757] lr: 1.000e-04 eta: 1:28:42 time: 0.261 data_time: 0.009 memory: 6404 grad_norm: 8.7472 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3643 loss: 1.3643 2022/06/30 19:28:25 - mmengine - INFO - Epoch(train) [95][3160/3757] lr: 1.000e-04 eta: 1:28:36 time: 0.291 data_time: 0.062 memory: 6404 grad_norm: 9.5482 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0018 loss: 1.0018 2022/06/30 19:28:30 - mmengine - INFO - Epoch(train) [95][3180/3757] lr: 1.000e-04 eta: 1:28:31 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 10.6747 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8558 loss: 0.8558 2022/06/30 19:28:35 - mmengine - INFO - Epoch(train) [95][3200/3757] lr: 1.000e-04 eta: 1:28:25 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.4859 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0386 loss: 1.0386 2022/06/30 19:28:41 - mmengine - INFO - Epoch(train) [95][3220/3757] lr: 1.000e-04 eta: 1:28:20 time: 0.428 data_time: 0.015 memory: 6404 grad_norm: 7.8250 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7724 loss: 0.7724 2022/06/30 19:28:47 - mmengine - INFO - Epoch(train) [95][3240/3757] lr: 1.000e-04 eta: 1:28:14 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 10.0028 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0994 loss: 1.0994 2022/06/30 19:28:52 - mmengine - INFO - Epoch(train) [95][3260/3757] lr: 1.000e-04 eta: 1:28:09 time: 0.260 data_time: 0.012 memory: 6404 grad_norm: 9.4660 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8198 loss: 0.8198 2022/06/30 19:28:57 - mmengine - INFO - Epoch(train) [95][3280/3757] lr: 1.000e-04 eta: 1:28:03 time: 0.257 data_time: 0.016 memory: 6404 grad_norm: 9.0118 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0560 loss: 1.0560 2022/06/30 19:29:02 - mmengine - INFO - Epoch(train) [95][3300/3757] lr: 1.000e-04 eta: 1:27:58 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 8.5691 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1083 loss: 1.1083 2022/06/30 19:29:08 - mmengine - INFO - Epoch(train) [95][3320/3757] lr: 1.000e-04 eta: 1:27:52 time: 0.364 data_time: 0.009 memory: 6404 grad_norm: 11.7837 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.0388 loss: 1.0388 2022/06/30 19:29:14 - mmengine - INFO - Epoch(train) [95][3340/3757] lr: 1.000e-04 eta: 1:27:47 time: 0.255 data_time: 0.019 memory: 6404 grad_norm: 7.5754 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1914 loss: 1.1914 2022/06/30 19:29:19 - mmengine - INFO - Epoch(train) [95][3360/3757] lr: 1.000e-04 eta: 1:27:42 time: 0.255 data_time: 0.012 memory: 6404 grad_norm: 8.6557 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8269 loss: 0.8269 2022/06/30 19:29:26 - mmengine - INFO - Epoch(train) [95][3380/3757] lr: 1.000e-04 eta: 1:27:36 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 8.0525 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7181 loss: 0.7181 2022/06/30 19:29:31 - mmengine - INFO - Epoch(train) [95][3400/3757] lr: 1.000e-04 eta: 1:27:31 time: 0.290 data_time: 0.011 memory: 6404 grad_norm: 10.0944 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9485 loss: 0.9485 2022/06/30 19:29:37 - mmengine - INFO - Epoch(train) [95][3420/3757] lr: 1.000e-04 eta: 1:27:25 time: 0.259 data_time: 0.016 memory: 6404 grad_norm: 9.6146 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0103 loss: 1.0103 2022/06/30 19:29:42 - mmengine - INFO - Epoch(train) [95][3440/3757] lr: 1.000e-04 eta: 1:27:20 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 7.8655 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0971 loss: 1.0971 2022/06/30 19:29:47 - mmengine - INFO - Epoch(train) [95][3460/3757] lr: 1.000e-04 eta: 1:27:14 time: 0.247 data_time: 0.007 memory: 6404 grad_norm: 9.4614 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0228 loss: 1.0228 2022/06/30 19:29:52 - mmengine - INFO - Epoch(train) [95][3480/3757] lr: 1.000e-04 eta: 1:27:09 time: 0.257 data_time: 0.016 memory: 6404 grad_norm: 8.3180 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0487 loss: 1.0487 2022/06/30 19:29:58 - mmengine - INFO - Epoch(train) [95][3500/3757] lr: 1.000e-04 eta: 1:27:03 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 11.4816 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0502 loss: 1.0502 2022/06/30 19:30:03 - mmengine - INFO - Epoch(train) [95][3520/3757] lr: 1.000e-04 eta: 1:26:58 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 10.3499 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9844 loss: 0.9844 2022/06/30 19:30:09 - mmengine - INFO - Epoch(train) [95][3540/3757] lr: 1.000e-04 eta: 1:26:52 time: 0.259 data_time: 0.013 memory: 6404 grad_norm: 10.8698 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8362 loss: 0.8362 2022/06/30 19:30:15 - mmengine - INFO - Epoch(train) [95][3560/3757] lr: 1.000e-04 eta: 1:26:47 time: 0.260 data_time: 0.009 memory: 6404 grad_norm: 9.6736 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3831 loss: 1.3831 2022/06/30 19:30:21 - mmengine - INFO - Epoch(train) [95][3580/3757] lr: 1.000e-04 eta: 1:26:41 time: 0.280 data_time: 0.007 memory: 6404 grad_norm: 9.0866 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9333 loss: 0.9333 2022/06/30 19:30:26 - mmengine - INFO - Epoch(train) [95][3600/3757] lr: 1.000e-04 eta: 1:26:36 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 9.1493 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7792 loss: 0.7792 2022/06/30 19:30:32 - mmengine - INFO - Epoch(train) [95][3620/3757] lr: 1.000e-04 eta: 1:26:30 time: 0.254 data_time: 0.054 memory: 6404 grad_norm: 9.6868 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2564 loss: 1.2564 2022/06/30 19:30:37 - mmengine - INFO - Epoch(train) [95][3640/3757] lr: 1.000e-04 eta: 1:26:25 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 7.0802 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9553 loss: 0.9553 2022/06/30 19:30:43 - mmengine - INFO - Epoch(train) [95][3660/3757] lr: 1.000e-04 eta: 1:26:19 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 9.5491 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0283 loss: 1.0283 2022/06/30 19:30:49 - mmengine - INFO - Epoch(train) [95][3680/3757] lr: 1.000e-04 eta: 1:26:14 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 9.4990 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0670 loss: 1.0670 2022/06/30 19:30:54 - mmengine - INFO - Epoch(train) [95][3700/3757] lr: 1.000e-04 eta: 1:26:08 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 9.4655 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1013 loss: 1.1013 2022/06/30 19:30:59 - mmengine - INFO - Epoch(train) [95][3720/3757] lr: 1.000e-04 eta: 1:26:03 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 10.3531 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5920 loss: 0.5920 2022/06/30 19:31:05 - mmengine - INFO - Epoch(train) [95][3740/3757] lr: 1.000e-04 eta: 1:25:57 time: 0.292 data_time: 0.045 memory: 6404 grad_norm: 8.8378 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0758 loss: 1.0758 2022/06/30 19:31:09 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 19:31:09 - mmengine - INFO - Saving checkpoint at 95 epochs 2022/06/30 19:31:20 - mmengine - INFO - Epoch(val) [95][20/310] eta: 0:01:31 time: 0.080 data_time: 0.006 memory: 6404 2022/06/30 19:31:26 - mmengine - INFO - Epoch(val) [95][40/310] eta: 0:01:15 time: 0.100 data_time: 0.015 memory: 1479 2022/06/30 19:31:30 - mmengine - INFO - Epoch(val) [95][60/310] eta: 0:00:29 time: 0.080 data_time: 0.005 memory: 1479 2022/06/30 19:31:36 - mmengine - INFO - Epoch(val) [95][80/310] eta: 0:01:10 time: 0.082 data_time: 0.006 memory: 1479 2022/06/30 19:31:42 - mmengine - INFO - Epoch(val) [95][100/310] eta: 0:01:05 time: 0.429 data_time: 0.347 memory: 1479 2022/06/30 19:31:46 - mmengine - INFO - Epoch(val) [95][120/310] eta: 0:00:32 time: 0.078 data_time: 0.005 memory: 1479 2022/06/30 19:31:52 - mmengine - INFO - Epoch(val) [95][140/310] eta: 0:00:51 time: 0.085 data_time: 0.007 memory: 1479 2022/06/30 19:31:58 - mmengine - INFO - Epoch(val) [95][160/310] eta: 0:00:48 time: 1.569 data_time: 1.480 memory: 1479 2022/06/30 19:32:02 - mmengine - INFO - Epoch(val) [95][180/310] eta: 0:00:34 time: 0.090 data_time: 0.007 memory: 1479 2022/06/30 19:32:08 - mmengine - INFO - Epoch(val) [95][200/310] eta: 0:00:31 time: 0.088 data_time: 0.008 memory: 1479 2022/06/30 19:32:14 - mmengine - INFO - Epoch(val) [95][220/310] eta: 0:00:26 time: 0.095 data_time: 0.008 memory: 1479 2022/06/30 19:32:18 - mmengine - INFO - Epoch(val) [95][240/310] eta: 0:00:17 time: 0.079 data_time: 0.005 memory: 1479 2022/06/30 19:32:24 - mmengine - INFO - Epoch(val) [95][260/310] eta: 0:00:15 time: 0.080 data_time: 0.006 memory: 1479 2022/06/30 19:32:30 - mmengine - INFO - Epoch(val) [95][280/310] eta: 0:00:08 time: 0.099 data_time: 0.005 memory: 1479 2022/06/30 19:32:31 - mmengine - INFO - Epoch(val) [95][300/310] eta: 0:00:01 time: 0.076 data_time: 0.004 memory: 1479 2022/06/30 19:32:34 - mmengine - INFO - Epoch(val) [95][310/310] acc/top1: 0.6737 acc/top5: 0.8714 acc/mean1: 0.6736 2022/06/30 19:32:43 - mmengine - INFO - Epoch(train) [96][20/3757] lr: 1.000e-04 eta: 1:25:47 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 9.5904 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1904 loss: 1.1904 2022/06/30 19:32:48 - mmengine - INFO - Epoch(train) [96][40/3757] lr: 1.000e-04 eta: 1:25:42 time: 0.248 data_time: 0.006 memory: 6404 grad_norm: 9.6739 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2021 loss: 1.2021 2022/06/30 19:32:54 - mmengine - INFO - Epoch(train) [96][60/3757] lr: 1.000e-04 eta: 1:25:36 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 9.7383 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0561 loss: 1.0561 2022/06/30 19:33:00 - mmengine - INFO - Epoch(train) [96][80/3757] lr: 1.000e-04 eta: 1:25:31 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 8.5305 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7593 loss: 0.7593 2022/06/30 19:33:01 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 19:33:05 - mmengine - INFO - Epoch(train) [96][100/3757] lr: 1.000e-04 eta: 1:25:25 time: 0.296 data_time: 0.013 memory: 6404 grad_norm: 9.1293 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0387 loss: 1.0387 2022/06/30 19:33:10 - mmengine - INFO - Epoch(train) [96][120/3757] lr: 1.000e-04 eta: 1:25:20 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 11.5522 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0972 loss: 1.0972 2022/06/30 19:33:16 - mmengine - INFO - Epoch(train) [96][140/3757] lr: 1.000e-04 eta: 1:25:14 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 7.4530 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7752 loss: 0.7752 2022/06/30 19:33:22 - mmengine - INFO - Epoch(train) [96][160/3757] lr: 1.000e-04 eta: 1:25:09 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 9.2531 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0225 loss: 1.0225 2022/06/30 19:33:27 - mmengine - INFO - Epoch(train) [96][180/3757] lr: 1.000e-04 eta: 1:25:03 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 9.0106 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2160 loss: 1.2160 2022/06/30 19:33:33 - mmengine - INFO - Epoch(train) [96][200/3757] lr: 1.000e-04 eta: 1:24:58 time: 0.261 data_time: 0.009 memory: 6404 grad_norm: 9.3217 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3946 loss: 1.3946 2022/06/30 19:33:38 - mmengine - INFO - Epoch(train) [96][220/3757] lr: 1.000e-04 eta: 1:24:52 time: 0.261 data_time: 0.009 memory: 6404 grad_norm: 10.8351 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0418 loss: 1.0418 2022/06/30 19:33:44 - mmengine - INFO - Epoch(train) [96][240/3757] lr: 1.000e-04 eta: 1:24:47 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 8.5109 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0238 loss: 1.0238 2022/06/30 19:33:49 - mmengine - INFO - Epoch(train) [96][260/3757] lr: 1.000e-04 eta: 1:24:41 time: 0.268 data_time: 0.008 memory: 6404 grad_norm: 7.5758 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7749 loss: 0.7749 2022/06/30 19:33:55 - mmengine - INFO - Epoch(train) [96][280/3757] lr: 1.000e-04 eta: 1:24:36 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 8.1613 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7796 loss: 0.7796 2022/06/30 19:34:00 - mmengine - INFO - Epoch(train) [96][300/3757] lr: 1.000e-04 eta: 1:24:30 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 10.1266 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0342 loss: 1.0342 2022/06/30 19:34:06 - mmengine - INFO - Epoch(train) [96][320/3757] lr: 1.000e-04 eta: 1:24:25 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 7.3309 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9850 loss: 0.9850 2022/06/30 19:34:11 - mmengine - INFO - Epoch(train) [96][340/3757] lr: 1.000e-04 eta: 1:24:20 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 10.3895 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9792 loss: 0.9792 2022/06/30 19:34:17 - mmengine - INFO - Epoch(train) [96][360/3757] lr: 1.000e-04 eta: 1:24:14 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 9.4016 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9106 loss: 0.9106 2022/06/30 19:34:22 - mmengine - INFO - Epoch(train) [96][380/3757] lr: 1.000e-04 eta: 1:24:09 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 9.7990 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9618 loss: 0.9618 2022/06/30 19:34:28 - mmengine - INFO - Epoch(train) [96][400/3757] lr: 1.000e-04 eta: 1:24:03 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.2956 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8880 loss: 0.8880 2022/06/30 19:34:33 - mmengine - INFO - Epoch(train) [96][420/3757] lr: 1.000e-04 eta: 1:23:58 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 9.6768 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0405 loss: 1.0405 2022/06/30 19:34:39 - mmengine - INFO - Epoch(train) [96][440/3757] lr: 1.000e-04 eta: 1:23:52 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 8.1283 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9582 loss: 0.9582 2022/06/30 19:34:44 - mmengine - INFO - Epoch(train) [96][460/3757] lr: 1.000e-04 eta: 1:23:47 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.4993 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7302 loss: 0.7302 2022/06/30 19:34:50 - mmengine - INFO - Epoch(train) [96][480/3757] lr: 1.000e-04 eta: 1:23:41 time: 0.274 data_time: 0.008 memory: 6404 grad_norm: 10.1317 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0035 loss: 1.0035 2022/06/30 19:34:55 - mmengine - INFO - Epoch(train) [96][500/3757] lr: 1.000e-04 eta: 1:23:36 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 10.8888 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8780 loss: 0.8780 2022/06/30 19:35:01 - mmengine - INFO - Epoch(train) [96][520/3757] lr: 1.000e-04 eta: 1:23:30 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.6925 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3024 loss: 1.3024 2022/06/30 19:35:06 - mmengine - INFO - Epoch(train) [96][540/3757] lr: 1.000e-04 eta: 1:23:25 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 10.4761 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.7461 loss: 0.7461 2022/06/30 19:35:12 - mmengine - INFO - Epoch(train) [96][560/3757] lr: 1.000e-04 eta: 1:23:19 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 10.4030 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9221 loss: 0.9221 2022/06/30 19:35:17 - mmengine - INFO - Epoch(train) [96][580/3757] lr: 1.000e-04 eta: 1:23:14 time: 0.245 data_time: 0.006 memory: 6404 grad_norm: 10.0238 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9736 loss: 0.9736 2022/06/30 19:35:22 - mmengine - INFO - Epoch(train) [96][600/3757] lr: 1.000e-04 eta: 1:23:08 time: 0.258 data_time: 0.015 memory: 6404 grad_norm: 9.6205 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0780 loss: 1.0780 2022/06/30 19:35:28 - mmengine - INFO - Epoch(train) [96][620/3757] lr: 1.000e-04 eta: 1:23:03 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 9.5067 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7826 loss: 0.7826 2022/06/30 19:35:33 - mmengine - INFO - Epoch(train) [96][640/3757] lr: 1.000e-04 eta: 1:22:57 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 8.9709 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0665 loss: 1.0665 2022/06/30 19:35:39 - mmengine - INFO - Epoch(train) [96][660/3757] lr: 1.000e-04 eta: 1:22:52 time: 0.261 data_time: 0.015 memory: 6404 grad_norm: 9.7954 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1781 loss: 1.1781 2022/06/30 19:35:44 - mmengine - INFO - Epoch(train) [96][680/3757] lr: 1.000e-04 eta: 1:22:46 time: 0.263 data_time: 0.007 memory: 6404 grad_norm: 7.8382 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8858 loss: 0.8858 2022/06/30 19:35:50 - mmengine - INFO - Epoch(train) [96][700/3757] lr: 1.000e-04 eta: 1:22:41 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 9.7335 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9835 loss: 0.9835 2022/06/30 19:35:56 - mmengine - INFO - Epoch(train) [96][720/3757] lr: 1.000e-04 eta: 1:22:35 time: 0.259 data_time: 0.015 memory: 6404 grad_norm: 9.7135 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7663 loss: 0.7663 2022/06/30 19:36:01 - mmengine - INFO - Epoch(train) [96][740/3757] lr: 1.000e-04 eta: 1:22:30 time: 0.263 data_time: 0.010 memory: 6404 grad_norm: 9.0679 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8069 loss: 0.8069 2022/06/30 19:36:06 - mmengine - INFO - Epoch(train) [96][760/3757] lr: 1.000e-04 eta: 1:22:24 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 10.3978 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8329 loss: 0.8329 2022/06/30 19:36:11 - mmengine - INFO - Epoch(train) [96][780/3757] lr: 1.000e-04 eta: 1:22:19 time: 0.270 data_time: 0.018 memory: 6404 grad_norm: 9.9691 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2903 loss: 1.2903 2022/06/30 19:36:17 - mmengine - INFO - Epoch(train) [96][800/3757] lr: 1.000e-04 eta: 1:22:13 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 9.9019 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8852 loss: 0.8852 2022/06/30 19:36:23 - mmengine - INFO - Epoch(train) [96][820/3757] lr: 1.000e-04 eta: 1:22:08 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 7.4349 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1294 loss: 1.1294 2022/06/30 19:36:28 - mmengine - INFO - Epoch(train) [96][840/3757] lr: 1.000e-04 eta: 1:22:02 time: 0.252 data_time: 0.031 memory: 6404 grad_norm: 11.1125 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7005 loss: 0.7005 2022/06/30 19:36:34 - mmengine - INFO - Epoch(train) [96][860/3757] lr: 1.000e-04 eta: 1:21:57 time: 0.271 data_time: 0.007 memory: 6404 grad_norm: 10.1277 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0076 loss: 1.0076 2022/06/30 19:36:39 - mmengine - INFO - Epoch(train) [96][880/3757] lr: 1.000e-04 eta: 1:21:51 time: 0.257 data_time: 0.031 memory: 6404 grad_norm: 10.7753 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8834 loss: 0.8834 2022/06/30 19:36:45 - mmengine - INFO - Epoch(train) [96][900/3757] lr: 1.000e-04 eta: 1:21:46 time: 0.442 data_time: 0.011 memory: 6404 grad_norm: 11.8564 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1292 loss: 1.1292 2022/06/30 19:36:51 - mmengine - INFO - Epoch(train) [96][920/3757] lr: 1.000e-04 eta: 1:21:40 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 9.8620 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0463 loss: 1.0463 2022/06/30 19:36:56 - mmengine - INFO - Epoch(train) [96][940/3757] lr: 1.000e-04 eta: 1:21:35 time: 0.310 data_time: 0.007 memory: 6404 grad_norm: 7.9338 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0458 loss: 1.0458 2022/06/30 19:37:01 - mmengine - INFO - Epoch(train) [96][960/3757] lr: 1.000e-04 eta: 1:21:29 time: 0.255 data_time: 0.015 memory: 6404 grad_norm: 10.7065 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8259 loss: 0.8259 2022/06/30 19:37:07 - mmengine - INFO - Epoch(train) [96][980/3757] lr: 1.000e-04 eta: 1:21:24 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 10.0084 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7681 loss: 0.7681 2022/06/30 19:37:12 - mmengine - INFO - Epoch(train) [96][1000/3757] lr: 1.000e-04 eta: 1:21:18 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 11.3871 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8872 loss: 0.8872 2022/06/30 19:37:17 - mmengine - INFO - Epoch(train) [96][1020/3757] lr: 1.000e-04 eta: 1:21:13 time: 0.248 data_time: 0.017 memory: 6404 grad_norm: 7.7444 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9695 loss: 0.9695 2022/06/30 19:37:23 - mmengine - INFO - Epoch(train) [96][1040/3757] lr: 1.000e-04 eta: 1:21:07 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 8.0357 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0598 loss: 1.0598 2022/06/30 19:37:28 - mmengine - INFO - Epoch(train) [96][1060/3757] lr: 1.000e-04 eta: 1:21:02 time: 0.255 data_time: 0.016 memory: 6404 grad_norm: 10.6924 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1087 loss: 1.1087 2022/06/30 19:37:33 - mmengine - INFO - Epoch(train) [96][1080/3757] lr: 1.000e-04 eta: 1:20:56 time: 0.255 data_time: 0.017 memory: 6404 grad_norm: 9.6337 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8042 loss: 0.8042 2022/06/30 19:37:35 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 19:37:38 - mmengine - INFO - Epoch(train) [96][1100/3757] lr: 1.000e-04 eta: 1:20:51 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 9.6583 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1862 loss: 1.1862 2022/06/30 19:37:44 - mmengine - INFO - Epoch(train) [96][1120/3757] lr: 1.000e-04 eta: 1:20:45 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 8.4874 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1523 loss: 1.1523 2022/06/30 19:37:49 - mmengine - INFO - Epoch(train) [96][1140/3757] lr: 1.000e-04 eta: 1:20:40 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 8.2765 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9353 loss: 0.9353 2022/06/30 19:37:55 - mmengine - INFO - Epoch(train) [96][1160/3757] lr: 1.000e-04 eta: 1:20:34 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 10.6121 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1166 loss: 1.1166 2022/06/30 19:38:00 - mmengine - INFO - Epoch(train) [96][1180/3757] lr: 1.000e-04 eta: 1:20:29 time: 0.259 data_time: 0.017 memory: 6404 grad_norm: 9.8320 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9467 loss: 0.9467 2022/06/30 19:38:07 - mmengine - INFO - Epoch(train) [96][1200/3757] lr: 1.000e-04 eta: 1:20:24 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 10.3586 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1206 loss: 1.1206 2022/06/30 19:38:12 - mmengine - INFO - Epoch(train) [96][1220/3757] lr: 1.000e-04 eta: 1:20:18 time: 0.262 data_time: 0.009 memory: 6404 grad_norm: 9.2161 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9318 loss: 0.9318 2022/06/30 19:38:17 - mmengine - INFO - Epoch(train) [96][1240/3757] lr: 1.000e-04 eta: 1:20:13 time: 0.257 data_time: 0.049 memory: 6404 grad_norm: 7.6152 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8412 loss: 0.8412 2022/06/30 19:38:23 - mmengine - INFO - Epoch(train) [96][1260/3757] lr: 1.000e-04 eta: 1:20:07 time: 0.253 data_time: 0.015 memory: 6404 grad_norm: 10.9654 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6022 loss: 0.6022 2022/06/30 19:38:29 - mmengine - INFO - Epoch(train) [96][1280/3757] lr: 1.000e-04 eta: 1:20:02 time: 0.256 data_time: 0.013 memory: 6404 grad_norm: 9.6661 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8464 loss: 0.8464 2022/06/30 19:38:34 - mmengine - INFO - Epoch(train) [96][1300/3757] lr: 1.000e-04 eta: 1:19:56 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 9.4280 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1493 loss: 1.1493 2022/06/30 19:38:40 - mmengine - INFO - Epoch(train) [96][1320/3757] lr: 1.000e-04 eta: 1:19:51 time: 0.312 data_time: 0.012 memory: 6404 grad_norm: 9.9460 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9459 loss: 0.9459 2022/06/30 19:38:45 - mmengine - INFO - Epoch(train) [96][1340/3757] lr: 1.000e-04 eta: 1:19:45 time: 0.272 data_time: 0.050 memory: 6404 grad_norm: 8.8945 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9396 loss: 0.9396 2022/06/30 19:38:50 - mmengine - INFO - Epoch(train) [96][1360/3757] lr: 1.000e-04 eta: 1:19:40 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 7.1421 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8678 loss: 0.8678 2022/06/30 19:38:56 - mmengine - INFO - Epoch(train) [96][1380/3757] lr: 1.000e-04 eta: 1:19:34 time: 0.265 data_time: 0.067 memory: 6404 grad_norm: 9.8210 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7974 loss: 0.7974 2022/06/30 19:39:01 - mmengine - INFO - Epoch(train) [96][1400/3757] lr: 1.000e-04 eta: 1:19:29 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 9.8754 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8682 loss: 0.8682 2022/06/30 19:39:06 - mmengine - INFO - Epoch(train) [96][1420/3757] lr: 1.000e-04 eta: 1:19:23 time: 0.245 data_time: 0.020 memory: 6404 grad_norm: 12.2672 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8019 loss: 0.8019 2022/06/30 19:39:12 - mmengine - INFO - Epoch(train) [96][1440/3757] lr: 1.000e-04 eta: 1:19:18 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 9.1278 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0166 loss: 1.0166 2022/06/30 19:39:17 - mmengine - INFO - Epoch(train) [96][1460/3757] lr: 1.000e-04 eta: 1:19:12 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 11.2723 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2235 loss: 1.2235 2022/06/30 19:39:22 - mmengine - INFO - Epoch(train) [96][1480/3757] lr: 1.000e-04 eta: 1:19:07 time: 0.259 data_time: 0.014 memory: 6404 grad_norm: 7.6129 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1557 loss: 1.1557 2022/06/30 19:39:27 - mmengine - INFO - Epoch(train) [96][1500/3757] lr: 1.000e-04 eta: 1:19:01 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 9.1178 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0238 loss: 1.0238 2022/06/30 19:39:33 - mmengine - INFO - Epoch(train) [96][1520/3757] lr: 1.000e-04 eta: 1:18:56 time: 0.267 data_time: 0.009 memory: 6404 grad_norm: 8.5163 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0432 loss: 1.0432 2022/06/30 19:39:38 - mmengine - INFO - Epoch(train) [96][1540/3757] lr: 1.000e-04 eta: 1:18:50 time: 0.256 data_time: 0.017 memory: 6404 grad_norm: 8.4302 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0355 loss: 1.0355 2022/06/30 19:39:44 - mmengine - INFO - Epoch(train) [96][1560/3757] lr: 1.000e-04 eta: 1:18:45 time: 0.277 data_time: 0.016 memory: 6404 grad_norm: 9.3740 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6718 loss: 0.6718 2022/06/30 19:39:49 - mmengine - INFO - Epoch(train) [96][1580/3757] lr: 1.000e-04 eta: 1:18:39 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 7.8391 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1737 loss: 1.1737 2022/06/30 19:39:54 - mmengine - INFO - Epoch(train) [96][1600/3757] lr: 1.000e-04 eta: 1:18:34 time: 0.253 data_time: 0.020 memory: 6404 grad_norm: 8.4709 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0119 loss: 1.0119 2022/06/30 19:40:00 - mmengine - INFO - Epoch(train) [96][1620/3757] lr: 1.000e-04 eta: 1:18:28 time: 0.263 data_time: 0.011 memory: 6404 grad_norm: 8.8133 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0716 loss: 1.0716 2022/06/30 19:40:08 - mmengine - INFO - Epoch(train) [96][1640/3757] lr: 1.000e-04 eta: 1:18:23 time: 0.330 data_time: 0.009 memory: 6404 grad_norm: 9.0361 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6818 loss: 0.6818 2022/06/30 19:40:13 - mmengine - INFO - Epoch(train) [96][1660/3757] lr: 1.000e-04 eta: 1:18:17 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 8.2108 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7848 loss: 0.7848 2022/06/30 19:40:18 - mmengine - INFO - Epoch(train) [96][1680/3757] lr: 1.000e-04 eta: 1:18:12 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 8.0409 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0919 loss: 1.0919 2022/06/30 19:40:23 - mmengine - INFO - Epoch(train) [96][1700/3757] lr: 1.000e-04 eta: 1:18:06 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 8.7494 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8021 loss: 0.8021 2022/06/30 19:40:29 - mmengine - INFO - Epoch(train) [96][1720/3757] lr: 1.000e-04 eta: 1:18:01 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 10.4142 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8342 loss: 0.8342 2022/06/30 19:40:34 - mmengine - INFO - Epoch(train) [96][1740/3757] lr: 1.000e-04 eta: 1:17:55 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 10.5244 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0915 loss: 1.0915 2022/06/30 19:40:40 - mmengine - INFO - Epoch(train) [96][1760/3757] lr: 1.000e-04 eta: 1:17:50 time: 0.299 data_time: 0.011 memory: 6404 grad_norm: 9.0232 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7628 loss: 0.7628 2022/06/30 19:40:45 - mmengine - INFO - Epoch(train) [96][1780/3757] lr: 1.000e-04 eta: 1:17:44 time: 0.263 data_time: 0.012 memory: 6404 grad_norm: 11.5771 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8854 loss: 0.8854 2022/06/30 19:40:50 - mmengine - INFO - Epoch(train) [96][1800/3757] lr: 1.000e-04 eta: 1:17:39 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 10.5573 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9356 loss: 0.9356 2022/06/30 19:40:56 - mmengine - INFO - Epoch(train) [96][1820/3757] lr: 1.000e-04 eta: 1:17:33 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 8.7203 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8380 loss: 0.8380 2022/06/30 19:41:01 - mmengine - INFO - Epoch(train) [96][1840/3757] lr: 1.000e-04 eta: 1:17:28 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 9.3589 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8666 loss: 0.8666 2022/06/30 19:41:07 - mmengine - INFO - Epoch(train) [96][1860/3757] lr: 1.000e-04 eta: 1:17:22 time: 0.255 data_time: 0.006 memory: 6404 grad_norm: 7.9966 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6838 loss: 0.6838 2022/06/30 19:41:12 - mmengine - INFO - Epoch(train) [96][1880/3757] lr: 1.000e-04 eta: 1:17:17 time: 0.260 data_time: 0.015 memory: 6404 grad_norm: 10.3617 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8477 loss: 0.8477 2022/06/30 19:41:17 - mmengine - INFO - Epoch(train) [96][1900/3757] lr: 1.000e-04 eta: 1:17:11 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 9.5689 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9774 loss: 0.9774 2022/06/30 19:41:23 - mmengine - INFO - Epoch(train) [96][1920/3757] lr: 1.000e-04 eta: 1:17:06 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 7.6911 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8578 loss: 0.8578 2022/06/30 19:41:28 - mmengine - INFO - Epoch(train) [96][1940/3757] lr: 1.000e-04 eta: 1:17:00 time: 0.258 data_time: 0.017 memory: 6404 grad_norm: 9.9447 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7884 loss: 0.7884 2022/06/30 19:41:33 - mmengine - INFO - Epoch(train) [96][1960/3757] lr: 1.000e-04 eta: 1:16:55 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 9.0930 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2152 loss: 1.2152 2022/06/30 19:41:39 - mmengine - INFO - Epoch(train) [96][1980/3757] lr: 1.000e-04 eta: 1:16:49 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 9.7497 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0636 loss: 1.0636 2022/06/30 19:41:44 - mmengine - INFO - Epoch(train) [96][2000/3757] lr: 1.000e-04 eta: 1:16:44 time: 0.262 data_time: 0.024 memory: 6404 grad_norm: 9.4576 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9320 loss: 0.9320 2022/06/30 19:41:49 - mmengine - INFO - Epoch(train) [96][2020/3757] lr: 1.000e-04 eta: 1:16:38 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 9.5995 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8970 loss: 0.8970 2022/06/30 19:41:55 - mmengine - INFO - Epoch(train) [96][2040/3757] lr: 1.000e-04 eta: 1:16:33 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 11.1553 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1793 loss: 1.1793 2022/06/30 19:42:01 - mmengine - INFO - Epoch(train) [96][2060/3757] lr: 1.000e-04 eta: 1:16:27 time: 0.267 data_time: 0.014 memory: 6404 grad_norm: 6.9211 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9853 loss: 0.9853 2022/06/30 19:42:06 - mmengine - INFO - Epoch(train) [96][2080/3757] lr: 1.000e-04 eta: 1:16:22 time: 0.280 data_time: 0.007 memory: 6404 grad_norm: 7.9421 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0635 loss: 1.0635 2022/06/30 19:42:08 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 19:42:12 - mmengine - INFO - Epoch(train) [96][2100/3757] lr: 1.000e-04 eta: 1:16:16 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 8.8761 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.0511 loss: 1.0511 2022/06/30 19:42:17 - mmengine - INFO - Epoch(train) [96][2120/3757] lr: 1.000e-04 eta: 1:16:11 time: 0.254 data_time: 0.018 memory: 6404 grad_norm: 8.6337 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3735 loss: 1.3735 2022/06/30 19:42:22 - mmengine - INFO - Epoch(train) [96][2140/3757] lr: 1.000e-04 eta: 1:16:05 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 10.8513 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9095 loss: 0.9095 2022/06/30 19:42:28 - mmengine - INFO - Epoch(train) [96][2160/3757] lr: 1.000e-04 eta: 1:16:00 time: 0.437 data_time: 0.008 memory: 6404 grad_norm: 7.5478 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3114 loss: 1.3114 2022/06/30 19:42:34 - mmengine - INFO - Epoch(train) [96][2180/3757] lr: 1.000e-04 eta: 1:15:55 time: 0.261 data_time: 0.014 memory: 6404 grad_norm: 8.6111 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0074 loss: 1.0074 2022/06/30 19:42:40 - mmengine - INFO - Epoch(train) [96][2200/3757] lr: 1.000e-04 eta: 1:15:49 time: 0.242 data_time: 0.009 memory: 6404 grad_norm: 9.5036 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9947 loss: 0.9947 2022/06/30 19:42:45 - mmengine - INFO - Epoch(train) [96][2220/3757] lr: 1.000e-04 eta: 1:15:44 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 8.1673 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0848 loss: 1.0848 2022/06/30 19:42:51 - mmengine - INFO - Epoch(train) [96][2240/3757] lr: 1.000e-04 eta: 1:15:38 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 9.6645 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9034 loss: 0.9034 2022/06/30 19:42:56 - mmengine - INFO - Epoch(train) [96][2260/3757] lr: 1.000e-04 eta: 1:15:33 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 9.5227 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8873 loss: 0.8873 2022/06/30 19:43:02 - mmengine - INFO - Epoch(train) [96][2280/3757] lr: 1.000e-04 eta: 1:15:27 time: 0.263 data_time: 0.012 memory: 6404 grad_norm: 10.2392 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6260 loss: 0.6260 2022/06/30 19:43:07 - mmengine - INFO - Epoch(train) [96][2300/3757] lr: 1.000e-04 eta: 1:15:22 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 8.5899 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7699 loss: 0.7699 2022/06/30 19:43:12 - mmengine - INFO - Epoch(train) [96][2320/3757] lr: 1.000e-04 eta: 1:15:16 time: 0.274 data_time: 0.008 memory: 6404 grad_norm: 9.3107 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9689 loss: 0.9689 2022/06/30 19:43:18 - mmengine - INFO - Epoch(train) [96][2340/3757] lr: 1.000e-04 eta: 1:15:11 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 8.4971 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8339 loss: 0.8339 2022/06/30 19:43:23 - mmengine - INFO - Epoch(train) [96][2360/3757] lr: 1.000e-04 eta: 1:15:05 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 7.9616 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2122 loss: 1.2122 2022/06/30 19:43:29 - mmengine - INFO - Epoch(train) [96][2380/3757] lr: 1.000e-04 eta: 1:15:00 time: 0.270 data_time: 0.007 memory: 6404 grad_norm: 8.4012 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1516 loss: 1.1516 2022/06/30 19:43:34 - mmengine - INFO - Epoch(train) [96][2400/3757] lr: 1.000e-04 eta: 1:14:54 time: 0.264 data_time: 0.011 memory: 6404 grad_norm: 9.2253 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6955 loss: 0.6955 2022/06/30 19:43:40 - mmengine - INFO - Epoch(train) [96][2420/3757] lr: 1.000e-04 eta: 1:14:49 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 8.0592 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2371 loss: 1.2371 2022/06/30 19:43:46 - mmengine - INFO - Epoch(train) [96][2440/3757] lr: 1.000e-04 eta: 1:14:43 time: 0.381 data_time: 0.007 memory: 6404 grad_norm: 11.3005 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8826 loss: 0.8826 2022/06/30 19:43:51 - mmengine - INFO - Epoch(train) [96][2460/3757] lr: 1.000e-04 eta: 1:14:38 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 11.9192 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0499 loss: 1.0499 2022/06/30 19:43:57 - mmengine - INFO - Epoch(train) [96][2480/3757] lr: 1.000e-04 eta: 1:14:32 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 9.6743 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8889 loss: 0.8889 2022/06/30 19:44:02 - mmengine - INFO - Epoch(train) [96][2500/3757] lr: 1.000e-04 eta: 1:14:27 time: 0.269 data_time: 0.007 memory: 6404 grad_norm: 8.6841 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8389 loss: 0.8389 2022/06/30 19:44:08 - mmengine - INFO - Epoch(train) [96][2520/3757] lr: 1.000e-04 eta: 1:14:21 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 9.5614 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0844 loss: 1.0844 2022/06/30 19:44:13 - mmengine - INFO - Epoch(train) [96][2540/3757] lr: 1.000e-04 eta: 1:14:16 time: 0.243 data_time: 0.007 memory: 6404 grad_norm: 7.9147 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0719 loss: 1.0719 2022/06/30 19:44:19 - mmengine - INFO - Epoch(train) [96][2560/3757] lr: 1.000e-04 eta: 1:14:10 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 9.9805 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8331 loss: 0.8331 2022/06/30 19:44:24 - mmengine - INFO - Epoch(train) [96][2580/3757] lr: 1.000e-04 eta: 1:14:05 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 11.5751 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2589 loss: 1.2589 2022/06/30 19:44:30 - mmengine - INFO - Epoch(train) [96][2600/3757] lr: 1.000e-04 eta: 1:13:59 time: 0.270 data_time: 0.009 memory: 6404 grad_norm: 10.3786 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7709 loss: 0.7709 2022/06/30 19:44:36 - mmengine - INFO - Epoch(train) [96][2620/3757] lr: 1.000e-04 eta: 1:13:54 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 11.0515 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0529 loss: 1.0529 2022/06/30 19:44:41 - mmengine - INFO - Epoch(train) [96][2640/3757] lr: 1.000e-04 eta: 1:13:48 time: 0.267 data_time: 0.014 memory: 6404 grad_norm: 8.3281 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1901 loss: 1.1901 2022/06/30 19:44:47 - mmengine - INFO - Epoch(train) [96][2660/3757] lr: 1.000e-04 eta: 1:13:43 time: 0.267 data_time: 0.009 memory: 6404 grad_norm: 9.7262 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1038 loss: 1.1038 2022/06/30 19:44:52 - mmengine - INFO - Epoch(train) [96][2680/3757] lr: 1.000e-04 eta: 1:13:37 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.4622 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0438 loss: 1.0438 2022/06/30 19:44:57 - mmengine - INFO - Epoch(train) [96][2700/3757] lr: 1.000e-04 eta: 1:13:32 time: 0.280 data_time: 0.008 memory: 6404 grad_norm: 10.3061 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0192 loss: 1.0192 2022/06/30 19:45:03 - mmengine - INFO - Epoch(train) [96][2720/3757] lr: 1.000e-04 eta: 1:13:26 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 8.6538 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.7758 loss: 0.7758 2022/06/30 19:45:09 - mmengine - INFO - Epoch(train) [96][2740/3757] lr: 1.000e-04 eta: 1:13:21 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 9.6218 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1741 loss: 1.1741 2022/06/30 19:45:14 - mmengine - INFO - Epoch(train) [96][2760/3757] lr: 1.000e-04 eta: 1:13:15 time: 0.266 data_time: 0.011 memory: 6404 grad_norm: 7.5646 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6118 loss: 0.6118 2022/06/30 19:45:20 - mmengine - INFO - Epoch(train) [96][2780/3757] lr: 1.000e-04 eta: 1:13:10 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 9.1294 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8354 loss: 0.8354 2022/06/30 19:45:25 - mmengine - INFO - Epoch(train) [96][2800/3757] lr: 1.000e-04 eta: 1:13:04 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 10.2143 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8811 loss: 0.8811 2022/06/30 19:45:31 - mmengine - INFO - Epoch(train) [96][2820/3757] lr: 1.000e-04 eta: 1:12:59 time: 0.270 data_time: 0.009 memory: 6404 grad_norm: 9.4957 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0643 loss: 1.0643 2022/06/30 19:45:36 - mmengine - INFO - Epoch(train) [96][2840/3757] lr: 1.000e-04 eta: 1:12:53 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 8.7102 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0772 loss: 1.0772 2022/06/30 19:45:41 - mmengine - INFO - Epoch(train) [96][2860/3757] lr: 1.000e-04 eta: 1:12:48 time: 0.249 data_time: 0.013 memory: 6404 grad_norm: 8.0761 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1706 loss: 1.1706 2022/06/30 19:45:46 - mmengine - INFO - Epoch(train) [96][2880/3757] lr: 1.000e-04 eta: 1:12:42 time: 0.262 data_time: 0.027 memory: 6404 grad_norm: 8.7342 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8912 loss: 0.8912 2022/06/30 19:45:52 - mmengine - INFO - Epoch(train) [96][2900/3757] lr: 1.000e-04 eta: 1:12:37 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 9.7623 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8302 loss: 0.8302 2022/06/30 19:45:57 - mmengine - INFO - Epoch(train) [96][2920/3757] lr: 1.000e-04 eta: 1:12:31 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 7.7349 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0717 loss: 1.0717 2022/06/30 19:46:03 - mmengine - INFO - Epoch(train) [96][2940/3757] lr: 1.000e-04 eta: 1:12:26 time: 0.541 data_time: 0.343 memory: 6404 grad_norm: 8.9544 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7793 loss: 0.7793 2022/06/30 19:46:08 - mmengine - INFO - Epoch(train) [96][2960/3757] lr: 1.000e-04 eta: 1:12:21 time: 0.245 data_time: 0.009 memory: 6404 grad_norm: 7.4555 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9733 loss: 0.9733 2022/06/30 19:46:14 - mmengine - INFO - Epoch(train) [96][2980/3757] lr: 1.000e-04 eta: 1:12:15 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 8.9841 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9886 loss: 0.9886 2022/06/30 19:46:20 - mmengine - INFO - Epoch(train) [96][3000/3757] lr: 1.000e-04 eta: 1:12:10 time: 0.262 data_time: 0.034 memory: 6404 grad_norm: 10.8514 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9645 loss: 0.9645 2022/06/30 19:46:25 - mmengine - INFO - Epoch(train) [96][3020/3757] lr: 1.000e-04 eta: 1:12:04 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 10.0000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9903 loss: 0.9903 2022/06/30 19:46:31 - mmengine - INFO - Epoch(train) [96][3040/3757] lr: 1.000e-04 eta: 1:11:59 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.7861 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0666 loss: 1.0666 2022/06/30 19:46:36 - mmengine - INFO - Epoch(train) [96][3060/3757] lr: 1.000e-04 eta: 1:11:53 time: 0.258 data_time: 0.022 memory: 6404 grad_norm: 10.6596 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.0462 loss: 1.0462 2022/06/30 19:46:42 - mmengine - INFO - Epoch(train) [96][3080/3757] lr: 1.000e-04 eta: 1:11:48 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 8.3139 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7884 loss: 0.7884 2022/06/30 19:46:43 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 19:46:48 - mmengine - INFO - Epoch(train) [96][3100/3757] lr: 1.000e-04 eta: 1:11:42 time: 0.247 data_time: 0.006 memory: 6404 grad_norm: 8.4025 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4549 loss: 1.4549 2022/06/30 19:46:53 - mmengine - INFO - Epoch(train) [96][3120/3757] lr: 1.000e-04 eta: 1:11:37 time: 0.267 data_time: 0.015 memory: 6404 grad_norm: 8.7826 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4922 loss: 1.4922 2022/06/30 19:46:59 - mmengine - INFO - Epoch(train) [96][3140/3757] lr: 1.000e-04 eta: 1:11:31 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 10.2991 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9624 loss: 0.9624 2022/06/30 19:47:04 - mmengine - INFO - Epoch(train) [96][3160/3757] lr: 1.000e-04 eta: 1:11:26 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 9.9951 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9682 loss: 0.9682 2022/06/30 19:47:10 - mmengine - INFO - Epoch(train) [96][3180/3757] lr: 1.000e-04 eta: 1:11:20 time: 0.247 data_time: 0.011 memory: 6404 grad_norm: 8.3388 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0005 loss: 1.0005 2022/06/30 19:47:15 - mmengine - INFO - Epoch(train) [96][3200/3757] lr: 1.000e-04 eta: 1:11:15 time: 0.302 data_time: 0.015 memory: 6404 grad_norm: 8.0922 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1961 loss: 1.1961 2022/06/30 19:47:21 - mmengine - INFO - Epoch(train) [96][3220/3757] lr: 1.000e-04 eta: 1:11:09 time: 0.264 data_time: 0.012 memory: 6404 grad_norm: 9.4352 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2417 loss: 1.2417 2022/06/30 19:47:26 - mmengine - INFO - Epoch(train) [96][3240/3757] lr: 1.000e-04 eta: 1:11:04 time: 0.272 data_time: 0.008 memory: 6404 grad_norm: 10.4924 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0985 loss: 1.0985 2022/06/30 19:47:31 - mmengine - INFO - Epoch(train) [96][3260/3757] lr: 1.000e-04 eta: 1:10:58 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 10.0009 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5534 loss: 0.5534 2022/06/30 19:47:37 - mmengine - INFO - Epoch(train) [96][3280/3757] lr: 1.000e-04 eta: 1:10:53 time: 0.243 data_time: 0.015 memory: 6404 grad_norm: 8.9038 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7157 loss: 0.7157 2022/06/30 19:47:42 - mmengine - INFO - Epoch(train) [96][3300/3757] lr: 1.000e-04 eta: 1:10:47 time: 0.562 data_time: 0.008 memory: 6404 grad_norm: 10.4577 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9846 loss: 0.9846 2022/06/30 19:47:49 - mmengine - INFO - Epoch(train) [96][3320/3757] lr: 1.000e-04 eta: 1:10:42 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 9.9785 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0556 loss: 1.0556 2022/06/30 19:47:54 - mmengine - INFO - Epoch(train) [96][3340/3757] lr: 1.000e-04 eta: 1:10:36 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 9.3882 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2658 loss: 1.2658 2022/06/30 19:47:59 - mmengine - INFO - Epoch(train) [96][3360/3757] lr: 1.000e-04 eta: 1:10:31 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 7.0370 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0175 loss: 1.0175 2022/06/30 19:48:05 - mmengine - INFO - Epoch(train) [96][3380/3757] lr: 1.000e-04 eta: 1:10:25 time: 0.248 data_time: 0.014 memory: 6404 grad_norm: 7.0865 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9446 loss: 0.9446 2022/06/30 19:48:10 - mmengine - INFO - Epoch(train) [96][3400/3757] lr: 1.000e-04 eta: 1:10:20 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 9.6906 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1319 loss: 1.1319 2022/06/30 19:48:15 - mmengine - INFO - Epoch(train) [96][3420/3757] lr: 1.000e-04 eta: 1:10:14 time: 0.416 data_time: 0.011 memory: 6404 grad_norm: 10.5539 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2192 loss: 1.2192 2022/06/30 19:48:21 - mmengine - INFO - Epoch(train) [96][3440/3757] lr: 1.000e-04 eta: 1:10:09 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 7.9495 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8203 loss: 0.8203 2022/06/30 19:48:27 - mmengine - INFO - Epoch(train) [96][3460/3757] lr: 1.000e-04 eta: 1:10:03 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 10.3805 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7019 loss: 0.7019 2022/06/30 19:48:32 - mmengine - INFO - Epoch(train) [96][3480/3757] lr: 1.000e-04 eta: 1:09:58 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 8.1105 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9142 loss: 0.9142 2022/06/30 19:48:38 - mmengine - INFO - Epoch(train) [96][3500/3757] lr: 1.000e-04 eta: 1:09:52 time: 0.263 data_time: 0.014 memory: 6404 grad_norm: 8.8326 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0040 loss: 1.0040 2022/06/30 19:48:43 - mmengine - INFO - Epoch(train) [96][3520/3757] lr: 1.000e-04 eta: 1:09:47 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 10.3479 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6503 loss: 0.6503 2022/06/30 19:48:49 - mmengine - INFO - Epoch(train) [96][3540/3757] lr: 1.000e-04 eta: 1:09:41 time: 0.259 data_time: 0.012 memory: 6404 grad_norm: 9.7938 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8057 loss: 0.8057 2022/06/30 19:48:54 - mmengine - INFO - Epoch(train) [96][3560/3757] lr: 1.000e-04 eta: 1:09:36 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 10.3818 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0638 loss: 1.0638 2022/06/30 19:48:59 - mmengine - INFO - Epoch(train) [96][3580/3757] lr: 1.000e-04 eta: 1:09:30 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 9.9475 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1799 loss: 1.1799 2022/06/30 19:49:05 - mmengine - INFO - Epoch(train) [96][3600/3757] lr: 1.000e-04 eta: 1:09:25 time: 0.268 data_time: 0.008 memory: 6404 grad_norm: 7.7941 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9783 loss: 0.9783 2022/06/30 19:49:11 - mmengine - INFO - Epoch(train) [96][3620/3757] lr: 1.000e-04 eta: 1:09:20 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 10.0579 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8353 loss: 0.8353 2022/06/30 19:49:16 - mmengine - INFO - Epoch(train) [96][3640/3757] lr: 1.000e-04 eta: 1:09:14 time: 0.271 data_time: 0.015 memory: 6404 grad_norm: 9.6381 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8725 loss: 0.8725 2022/06/30 19:49:22 - mmengine - INFO - Epoch(train) [96][3660/3757] lr: 1.000e-04 eta: 1:09:09 time: 0.264 data_time: 0.012 memory: 6404 grad_norm: 10.5604 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8086 loss: 0.8086 2022/06/30 19:49:27 - mmengine - INFO - Epoch(train) [96][3680/3757] lr: 1.000e-04 eta: 1:09:03 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 9.8643 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9332 loss: 0.9332 2022/06/30 19:49:33 - mmengine - INFO - Epoch(train) [96][3700/3757] lr: 1.000e-04 eta: 1:08:58 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 12.0597 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8706 loss: 0.8706 2022/06/30 19:49:38 - mmengine - INFO - Epoch(train) [96][3720/3757] lr: 1.000e-04 eta: 1:08:52 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 9.1669 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0670 loss: 1.0670 2022/06/30 19:49:43 - mmengine - INFO - Epoch(train) [96][3740/3757] lr: 1.000e-04 eta: 1:08:47 time: 0.260 data_time: 0.012 memory: 6404 grad_norm: 8.7236 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9338 loss: 0.9338 2022/06/30 19:49:48 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 19:49:55 - mmengine - INFO - Epoch(val) [96][20/310] eta: 0:01:32 time: 0.098 data_time: 0.008 memory: 6404 2022/06/30 19:50:01 - mmengine - INFO - Epoch(val) [96][40/310] eta: 0:01:22 time: 0.297 data_time: 0.222 memory: 1479 2022/06/30 19:50:05 - mmengine - INFO - Epoch(val) [96][60/310] eta: 0:00:29 time: 0.098 data_time: 0.009 memory: 1479 2022/06/30 19:50:11 - mmengine - INFO - Epoch(val) [96][80/310] eta: 0:01:13 time: 0.098 data_time: 0.011 memory: 1479 2022/06/30 19:50:17 - mmengine - INFO - Epoch(val) [96][100/310] eta: 0:01:02 time: 0.722 data_time: 0.638 memory: 1479 2022/06/30 19:50:21 - mmengine - INFO - Epoch(val) [96][120/310] eta: 0:00:28 time: 0.086 data_time: 0.007 memory: 1479 2022/06/30 19:50:27 - mmengine - INFO - Epoch(val) [96][140/310] eta: 0:00:53 time: 0.101 data_time: 0.007 memory: 1479 2022/06/30 19:50:34 - mmengine - INFO - Epoch(val) [96][160/310] eta: 0:00:47 time: 1.404 data_time: 1.327 memory: 1479 2022/06/30 19:50:38 - mmengine - INFO - Epoch(val) [96][180/310] eta: 0:00:31 time: 0.077 data_time: 0.005 memory: 1479 2022/06/30 19:50:44 - mmengine - INFO - Epoch(val) [96][200/310] eta: 0:00:32 time: 0.080 data_time: 0.006 memory: 1479 2022/06/30 19:50:50 - mmengine - INFO - Epoch(val) [96][220/310] eta: 0:00:24 time: 0.932 data_time: 0.839 memory: 1479 2022/06/30 19:50:53 - mmengine - INFO - Epoch(val) [96][240/310] eta: 0:00:18 time: 0.081 data_time: 0.007 memory: 1479 2022/06/30 19:50:59 - mmengine - INFO - Epoch(val) [96][260/310] eta: 0:00:16 time: 0.086 data_time: 0.007 memory: 1479 2022/06/30 19:51:05 - mmengine - INFO - Epoch(val) [96][280/310] eta: 0:00:08 time: 0.860 data_time: 0.777 memory: 1479 2022/06/30 19:51:09 - mmengine - INFO - Epoch(val) [96][300/310] eta: 0:00:02 time: 0.084 data_time: 0.005 memory: 1479 2022/06/30 19:51:12 - mmengine - INFO - Epoch(val) [96][310/310] acc/top1: 0.6737 acc/top5: 0.8723 acc/mean1: 0.6736 2022/06/30 19:51:20 - mmengine - INFO - Epoch(train) [97][20/3757] lr: 1.000e-04 eta: 1:08:36 time: 0.264 data_time: 0.015 memory: 6404 grad_norm: 7.7462 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9646 loss: 0.9646 2022/06/30 19:51:27 - mmengine - INFO - Epoch(train) [97][40/3757] lr: 1.000e-04 eta: 1:08:31 time: 0.830 data_time: 0.015 memory: 6404 grad_norm: 8.7069 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1274 loss: 1.1274 2022/06/30 19:51:33 - mmengine - INFO - Epoch(train) [97][60/3757] lr: 1.000e-04 eta: 1:08:26 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 7.2865 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1594 loss: 1.1594 2022/06/30 19:51:38 - mmengine - INFO - Epoch(train) [97][80/3757] lr: 1.000e-04 eta: 1:08:20 time: 0.262 data_time: 0.010 memory: 6404 grad_norm: 7.8835 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6294 loss: 0.6294 2022/06/30 19:51:43 - mmengine - INFO - Epoch(train) [97][100/3757] lr: 1.000e-04 eta: 1:08:15 time: 0.255 data_time: 0.015 memory: 6404 grad_norm: 9.8353 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9832 loss: 0.9832 2022/06/30 19:51:49 - mmengine - INFO - Epoch(train) [97][120/3757] lr: 1.000e-04 eta: 1:08:09 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 8.6569 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2827 loss: 1.2827 2022/06/30 19:51:54 - mmengine - INFO - Epoch(train) [97][140/3757] lr: 1.000e-04 eta: 1:08:04 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 7.8462 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8519 loss: 0.8519 2022/06/30 19:52:00 - mmengine - INFO - Epoch(train) [97][160/3757] lr: 1.000e-04 eta: 1:07:58 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 10.3846 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0023 loss: 1.0023 2022/06/30 19:52:06 - mmengine - INFO - Epoch(train) [97][180/3757] lr: 1.000e-04 eta: 1:07:53 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 8.9321 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0678 loss: 1.0678 2022/06/30 19:52:12 - mmengine - INFO - Epoch(train) [97][200/3757] lr: 1.000e-04 eta: 1:07:47 time: 0.266 data_time: 0.009 memory: 6404 grad_norm: 9.4665 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8520 loss: 0.8520 2022/06/30 19:52:17 - mmengine - INFO - Epoch(train) [97][220/3757] lr: 1.000e-04 eta: 1:07:42 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 9.1509 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0547 loss: 1.0547 2022/06/30 19:52:22 - mmengine - INFO - Epoch(train) [97][240/3757] lr: 1.000e-04 eta: 1:07:36 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 8.5542 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9198 loss: 0.9198 2022/06/30 19:52:28 - mmengine - INFO - Epoch(train) [97][260/3757] lr: 1.000e-04 eta: 1:07:31 time: 0.262 data_time: 0.016 memory: 6404 grad_norm: 7.3921 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9901 loss: 0.9901 2022/06/30 19:52:33 - mmengine - INFO - Epoch(train) [97][280/3757] lr: 1.000e-04 eta: 1:07:25 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 8.2912 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8358 loss: 0.8358 2022/06/30 19:52:39 - mmengine - INFO - Epoch(train) [97][300/3757] lr: 1.000e-04 eta: 1:07:20 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 10.5696 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8398 loss: 0.8398 2022/06/30 19:52:44 - mmengine - INFO - Epoch(train) [97][320/3757] lr: 1.000e-04 eta: 1:07:14 time: 0.262 data_time: 0.012 memory: 6404 grad_norm: 10.0797 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1647 loss: 1.1647 2022/06/30 19:52:46 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 19:52:50 - mmengine - INFO - Epoch(train) [97][340/3757] lr: 1.000e-04 eta: 1:07:09 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 9.5721 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1223 loss: 1.1223 2022/06/30 19:52:55 - mmengine - INFO - Epoch(train) [97][360/3757] lr: 1.000e-04 eta: 1:07:03 time: 0.250 data_time: 0.010 memory: 6404 grad_norm: 9.0182 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7297 loss: 0.7297 2022/06/30 19:53:00 - mmengine - INFO - Epoch(train) [97][380/3757] lr: 1.000e-04 eta: 1:06:58 time: 0.269 data_time: 0.013 memory: 6404 grad_norm: 8.3600 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8261 loss: 0.8261 2022/06/30 19:53:05 - mmengine - INFO - Epoch(train) [97][400/3757] lr: 1.000e-04 eta: 1:06:52 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 10.5496 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7713 loss: 0.7713 2022/06/30 19:53:11 - mmengine - INFO - Epoch(train) [97][420/3757] lr: 1.000e-04 eta: 1:06:47 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 8.7110 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1542 loss: 1.1542 2022/06/30 19:53:16 - mmengine - INFO - Epoch(train) [97][440/3757] lr: 1.000e-04 eta: 1:06:41 time: 0.265 data_time: 0.011 memory: 6404 grad_norm: 10.1172 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0259 loss: 1.0259 2022/06/30 19:53:22 - mmengine - INFO - Epoch(train) [97][460/3757] lr: 1.000e-04 eta: 1:06:36 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 10.4292 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0530 loss: 1.0530 2022/06/30 19:53:28 - mmengine - INFO - Epoch(train) [97][480/3757] lr: 1.000e-04 eta: 1:06:30 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 10.1685 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6993 loss: 0.6993 2022/06/30 19:53:33 - mmengine - INFO - Epoch(train) [97][500/3757] lr: 1.000e-04 eta: 1:06:25 time: 0.261 data_time: 0.013 memory: 6404 grad_norm: 11.1572 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9349 loss: 0.9349 2022/06/30 19:53:39 - mmengine - INFO - Epoch(train) [97][520/3757] lr: 1.000e-04 eta: 1:06:19 time: 0.279 data_time: 0.007 memory: 6404 grad_norm: 8.6133 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6470 loss: 0.6470 2022/06/30 19:53:44 - mmengine - INFO - Epoch(train) [97][540/3757] lr: 1.000e-04 eta: 1:06:14 time: 0.259 data_time: 0.012 memory: 6404 grad_norm: 9.9829 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8216 loss: 0.8216 2022/06/30 19:53:49 - mmengine - INFO - Epoch(train) [97][560/3757] lr: 1.000e-04 eta: 1:06:08 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 11.8213 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 0.8974 loss: 0.8974 2022/06/30 19:53:55 - mmengine - INFO - Epoch(train) [97][580/3757] lr: 1.000e-04 eta: 1:06:03 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 10.5611 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8602 loss: 0.8602 2022/06/30 19:54:00 - mmengine - INFO - Epoch(train) [97][600/3757] lr: 1.000e-04 eta: 1:05:57 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 8.1786 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8308 loss: 0.8308 2022/06/30 19:54:06 - mmengine - INFO - Epoch(train) [97][620/3757] lr: 1.000e-04 eta: 1:05:52 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 9.2321 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1208 loss: 1.1208 2022/06/30 19:54:12 - mmengine - INFO - Epoch(train) [97][640/3757] lr: 1.000e-04 eta: 1:05:46 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 8.5403 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5663 loss: 1.5663 2022/06/30 19:54:17 - mmengine - INFO - Epoch(train) [97][660/3757] lr: 1.000e-04 eta: 1:05:41 time: 0.318 data_time: 0.019 memory: 6404 grad_norm: 9.6750 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6589 loss: 0.6589 2022/06/30 19:54:22 - mmengine - INFO - Epoch(train) [97][680/3757] lr: 1.000e-04 eta: 1:05:35 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 11.2482 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0208 loss: 1.0208 2022/06/30 19:54:28 - mmengine - INFO - Epoch(train) [97][700/3757] lr: 1.000e-04 eta: 1:05:30 time: 0.275 data_time: 0.084 memory: 6404 grad_norm: 8.5733 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8065 loss: 0.8065 2022/06/30 19:54:33 - mmengine - INFO - Epoch(train) [97][720/3757] lr: 1.000e-04 eta: 1:05:24 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 9.7078 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2310 loss: 1.2310 2022/06/30 19:54:39 - mmengine - INFO - Epoch(train) [97][740/3757] lr: 1.000e-04 eta: 1:05:19 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 8.6640 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7779 loss: 0.7779 2022/06/30 19:54:44 - mmengine - INFO - Epoch(train) [97][760/3757] lr: 1.000e-04 eta: 1:05:13 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 10.6064 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8735 loss: 0.8735 2022/06/30 19:54:50 - mmengine - INFO - Epoch(train) [97][780/3757] lr: 1.000e-04 eta: 1:05:08 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 8.2523 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8899 loss: 0.8899 2022/06/30 19:54:56 - mmengine - INFO - Epoch(train) [97][800/3757] lr: 1.000e-04 eta: 1:05:03 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 10.4515 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8221 loss: 0.8221 2022/06/30 19:55:01 - mmengine - INFO - Epoch(train) [97][820/3757] lr: 1.000e-04 eta: 1:04:57 time: 0.247 data_time: 0.013 memory: 6404 grad_norm: 9.9059 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9644 loss: 0.9644 2022/06/30 19:55:06 - mmengine - INFO - Epoch(train) [97][840/3757] lr: 1.000e-04 eta: 1:04:52 time: 0.264 data_time: 0.010 memory: 6404 grad_norm: 10.0869 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8668 loss: 0.8668 2022/06/30 19:55:12 - mmengine - INFO - Epoch(train) [97][860/3757] lr: 1.000e-04 eta: 1:04:46 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 10.0730 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9465 loss: 0.9465 2022/06/30 19:55:18 - mmengine - INFO - Epoch(train) [97][880/3757] lr: 1.000e-04 eta: 1:04:41 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 9.5422 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4809 loss: 1.4809 2022/06/30 19:55:23 - mmengine - INFO - Epoch(train) [97][900/3757] lr: 1.000e-04 eta: 1:04:35 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 10.2174 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9816 loss: 0.9816 2022/06/30 19:55:31 - mmengine - INFO - Epoch(train) [97][920/3757] lr: 1.000e-04 eta: 1:04:30 time: 0.256 data_time: 0.017 memory: 6404 grad_norm: 9.5643 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0664 loss: 1.0664 2022/06/30 19:55:36 - mmengine - INFO - Epoch(train) [97][940/3757] lr: 1.000e-04 eta: 1:04:24 time: 0.275 data_time: 0.007 memory: 6404 grad_norm: 9.9174 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9527 loss: 0.9527 2022/06/30 19:55:42 - mmengine - INFO - Epoch(train) [97][960/3757] lr: 1.000e-04 eta: 1:04:19 time: 0.258 data_time: 0.013 memory: 6404 grad_norm: 8.4223 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9570 loss: 0.9570 2022/06/30 19:55:47 - mmengine - INFO - Epoch(train) [97][980/3757] lr: 1.000e-04 eta: 1:04:13 time: 0.278 data_time: 0.006 memory: 6404 grad_norm: 10.6477 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8931 loss: 0.8931 2022/06/30 19:55:52 - mmengine - INFO - Epoch(train) [97][1000/3757] lr: 1.000e-04 eta: 1:04:08 time: 0.256 data_time: 0.018 memory: 6404 grad_norm: 8.2341 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2487 loss: 1.2487 2022/06/30 19:55:58 - mmengine - INFO - Epoch(train) [97][1020/3757] lr: 1.000e-04 eta: 1:04:02 time: 0.244 data_time: 0.017 memory: 6404 grad_norm: 11.3018 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1840 loss: 1.1840 2022/06/30 19:56:03 - mmengine - INFO - Epoch(train) [97][1040/3757] lr: 1.000e-04 eta: 1:03:57 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 8.2565 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7633 loss: 0.7633 2022/06/30 19:56:08 - mmengine - INFO - Epoch(train) [97][1060/3757] lr: 1.000e-04 eta: 1:03:51 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 7.4247 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9883 loss: 0.9883 2022/06/30 19:56:13 - mmengine - INFO - Epoch(train) [97][1080/3757] lr: 1.000e-04 eta: 1:03:46 time: 0.248 data_time: 0.023 memory: 6404 grad_norm: 9.1648 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1868 loss: 1.1868 2022/06/30 19:56:19 - mmengine - INFO - Epoch(train) [97][1100/3757] lr: 1.000e-04 eta: 1:03:40 time: 0.267 data_time: 0.009 memory: 6404 grad_norm: 9.3865 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8724 loss: 0.8724 2022/06/30 19:56:24 - mmengine - INFO - Epoch(train) [97][1120/3757] lr: 1.000e-04 eta: 1:03:35 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 9.8424 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1961 loss: 1.1961 2022/06/30 19:56:30 - mmengine - INFO - Epoch(train) [97][1140/3757] lr: 1.000e-04 eta: 1:03:29 time: 0.253 data_time: 0.027 memory: 6404 grad_norm: 9.5123 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9345 loss: 0.9345 2022/06/30 19:56:35 - mmengine - INFO - Epoch(train) [97][1160/3757] lr: 1.000e-04 eta: 1:03:24 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 7.5480 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7215 loss: 0.7215 2022/06/30 19:56:41 - mmengine - INFO - Epoch(train) [97][1180/3757] lr: 1.000e-04 eta: 1:03:18 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 8.0288 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9035 loss: 0.9035 2022/06/30 19:56:46 - mmengine - INFO - Epoch(train) [97][1200/3757] lr: 1.000e-04 eta: 1:03:13 time: 0.264 data_time: 0.018 memory: 6404 grad_norm: 7.9453 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1659 loss: 1.1659 2022/06/30 19:56:51 - mmengine - INFO - Epoch(train) [97][1220/3757] lr: 1.000e-04 eta: 1:03:07 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 8.3696 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1165 loss: 1.1165 2022/06/30 19:56:57 - mmengine - INFO - Epoch(train) [97][1240/3757] lr: 1.000e-04 eta: 1:03:02 time: 0.390 data_time: 0.007 memory: 6404 grad_norm: 6.8267 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9330 loss: 0.9330 2022/06/30 19:57:03 - mmengine - INFO - Epoch(train) [97][1260/3757] lr: 1.000e-04 eta: 1:02:56 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 10.0829 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0060 loss: 1.0060 2022/06/30 19:57:08 - mmengine - INFO - Epoch(train) [97][1280/3757] lr: 1.000e-04 eta: 1:02:51 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 8.8750 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2961 loss: 1.2961 2022/06/30 19:57:13 - mmengine - INFO - Epoch(train) [97][1300/3757] lr: 1.000e-04 eta: 1:02:45 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 8.5787 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9984 loss: 0.9984 2022/06/30 19:57:19 - mmengine - INFO - Epoch(train) [97][1320/3757] lr: 1.000e-04 eta: 1:02:40 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 10.3335 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9482 loss: 0.9482 2022/06/30 19:57:22 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 19:57:25 - mmengine - INFO - Epoch(train) [97][1340/3757] lr: 1.000e-04 eta: 1:02:34 time: 0.247 data_time: 0.013 memory: 6404 grad_norm: 8.6576 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1158 loss: 1.1158 2022/06/30 19:57:31 - mmengine - INFO - Epoch(train) [97][1360/3757] lr: 1.000e-04 eta: 1:02:29 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 9.8754 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5060 loss: 1.5060 2022/06/30 19:57:36 - mmengine - INFO - Epoch(train) [97][1380/3757] lr: 1.000e-04 eta: 1:02:23 time: 0.252 data_time: 0.016 memory: 6404 grad_norm: 9.2093 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6122 loss: 0.6122 2022/06/30 19:57:42 - mmengine - INFO - Epoch(train) [97][1400/3757] lr: 1.000e-04 eta: 1:02:18 time: 0.277 data_time: 0.008 memory: 6404 grad_norm: 9.2154 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9723 loss: 0.9723 2022/06/30 19:57:47 - mmengine - INFO - Epoch(train) [97][1420/3757] lr: 1.000e-04 eta: 1:02:12 time: 0.319 data_time: 0.009 memory: 6404 grad_norm: 10.2287 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8638 loss: 0.8638 2022/06/30 19:57:52 - mmengine - INFO - Epoch(train) [97][1440/3757] lr: 1.000e-04 eta: 1:02:07 time: 0.262 data_time: 0.016 memory: 6404 grad_norm: 9.8266 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9065 loss: 0.9065 2022/06/30 19:57:58 - mmengine - INFO - Epoch(train) [97][1460/3757] lr: 1.000e-04 eta: 1:02:01 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 10.0351 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9224 loss: 0.9224 2022/06/30 19:58:03 - mmengine - INFO - Epoch(train) [97][1480/3757] lr: 1.000e-04 eta: 1:01:56 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 9.5735 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.3362 loss: 1.3362 2022/06/30 19:58:08 - mmengine - INFO - Epoch(train) [97][1500/3757] lr: 1.000e-04 eta: 1:01:50 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 9.1402 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0705 loss: 1.0705 2022/06/30 19:58:14 - mmengine - INFO - Epoch(train) [97][1520/3757] lr: 1.000e-04 eta: 1:01:45 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 9.7246 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8102 loss: 0.8102 2022/06/30 19:58:19 - mmengine - INFO - Epoch(train) [97][1540/3757] lr: 1.000e-04 eta: 1:01:40 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 7.7511 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7883 loss: 0.7883 2022/06/30 19:58:25 - mmengine - INFO - Epoch(train) [97][1560/3757] lr: 1.000e-04 eta: 1:01:34 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 8.7483 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8155 loss: 0.8155 2022/06/30 19:58:31 - mmengine - INFO - Epoch(train) [97][1580/3757] lr: 1.000e-04 eta: 1:01:29 time: 0.273 data_time: 0.009 memory: 6404 grad_norm: 8.6167 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6648 loss: 0.6648 2022/06/30 19:58:36 - mmengine - INFO - Epoch(train) [97][1600/3757] lr: 1.000e-04 eta: 1:01:23 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 11.0333 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9614 loss: 0.9614 2022/06/30 19:58:42 - mmengine - INFO - Epoch(train) [97][1620/3757] lr: 1.000e-04 eta: 1:01:18 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 10.4083 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0026 loss: 1.0026 2022/06/30 19:58:47 - mmengine - INFO - Epoch(train) [97][1640/3757] lr: 1.000e-04 eta: 1:01:12 time: 0.542 data_time: 0.044 memory: 6404 grad_norm: 8.7459 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3591 loss: 1.3591 2022/06/30 19:58:53 - mmengine - INFO - Epoch(train) [97][1660/3757] lr: 1.000e-04 eta: 1:01:07 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 9.2989 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3306 loss: 1.3306 2022/06/30 19:58:58 - mmengine - INFO - Epoch(train) [97][1680/3757] lr: 1.000e-04 eta: 1:01:01 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 8.2203 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1446 loss: 1.1446 2022/06/30 19:59:04 - mmengine - INFO - Epoch(train) [97][1700/3757] lr: 1.000e-04 eta: 1:00:56 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 8.3948 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9635 loss: 0.9635 2022/06/30 19:59:09 - mmengine - INFO - Epoch(train) [97][1720/3757] lr: 1.000e-04 eta: 1:00:50 time: 0.263 data_time: 0.006 memory: 6404 grad_norm: 7.7355 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9799 loss: 0.9799 2022/06/30 19:59:14 - mmengine - INFO - Epoch(train) [97][1740/3757] lr: 1.000e-04 eta: 1:00:45 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 9.6159 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0929 loss: 1.0929 2022/06/30 19:59:20 - mmengine - INFO - Epoch(train) [97][1760/3757] lr: 1.000e-04 eta: 1:00:39 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 9.7433 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3262 loss: 1.3262 2022/06/30 19:59:26 - mmengine - INFO - Epoch(train) [97][1780/3757] lr: 1.000e-04 eta: 1:00:34 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 8.2400 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1870 loss: 1.1870 2022/06/30 19:59:32 - mmengine - INFO - Epoch(train) [97][1800/3757] lr: 1.000e-04 eta: 1:00:28 time: 0.267 data_time: 0.012 memory: 6404 grad_norm: 9.5510 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2124 loss: 1.2124 2022/06/30 19:59:37 - mmengine - INFO - Epoch(train) [97][1820/3757] lr: 1.000e-04 eta: 1:00:23 time: 0.262 data_time: 0.009 memory: 6404 grad_norm: 8.9952 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9894 loss: 0.9894 2022/06/30 19:59:42 - mmengine - INFO - Epoch(train) [97][1840/3757] lr: 1.000e-04 eta: 1:00:17 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 9.0142 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1331 loss: 1.1331 2022/06/30 19:59:48 - mmengine - INFO - Epoch(train) [97][1860/3757] lr: 1.000e-04 eta: 1:00:12 time: 0.270 data_time: 0.018 memory: 6404 grad_norm: 8.8229 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0747 loss: 1.0747 2022/06/30 19:59:53 - mmengine - INFO - Epoch(train) [97][1880/3757] lr: 1.000e-04 eta: 1:00:06 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 9.3295 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.8355 loss: 0.8355 2022/06/30 19:59:59 - mmengine - INFO - Epoch(train) [97][1900/3757] lr: 1.000e-04 eta: 1:00:01 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 10.2011 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1730 loss: 1.1730 2022/06/30 20:00:04 - mmengine - INFO - Epoch(train) [97][1920/3757] lr: 1.000e-04 eta: 0:59:55 time: 0.266 data_time: 0.009 memory: 6404 grad_norm: 8.3878 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9410 loss: 0.9410 2022/06/30 20:00:09 - mmengine - INFO - Epoch(train) [97][1940/3757] lr: 1.000e-04 eta: 0:59:50 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 10.7552 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0243 loss: 1.0243 2022/06/30 20:00:15 - mmengine - INFO - Epoch(train) [97][1960/3757] lr: 1.000e-04 eta: 0:59:44 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 8.8764 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8242 loss: 0.8242 2022/06/30 20:00:20 - mmengine - INFO - Epoch(train) [97][1980/3757] lr: 1.000e-04 eta: 0:59:39 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 7.0411 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1312 loss: 1.1312 2022/06/30 20:00:26 - mmengine - INFO - Epoch(train) [97][2000/3757] lr: 1.000e-04 eta: 0:59:33 time: 0.262 data_time: 0.010 memory: 6404 grad_norm: 8.9913 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7516 loss: 0.7516 2022/06/30 20:00:32 - mmengine - INFO - Epoch(train) [97][2020/3757] lr: 1.000e-04 eta: 0:59:28 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 9.6137 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8249 loss: 0.8249 2022/06/30 20:00:38 - mmengine - INFO - Epoch(train) [97][2040/3757] lr: 1.000e-04 eta: 0:59:22 time: 0.759 data_time: 0.012 memory: 6404 grad_norm: 8.5482 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5554 loss: 0.5554 2022/06/30 20:00:43 - mmengine - INFO - Epoch(train) [97][2060/3757] lr: 1.000e-04 eta: 0:59:17 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 9.8084 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3529 loss: 1.3529 2022/06/30 20:00:49 - mmengine - INFO - Epoch(train) [97][2080/3757] lr: 1.000e-04 eta: 0:59:11 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.0331 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8716 loss: 0.8716 2022/06/30 20:00:54 - mmengine - INFO - Epoch(train) [97][2100/3757] lr: 1.000e-04 eta: 0:59:06 time: 0.263 data_time: 0.016 memory: 6404 grad_norm: 9.3671 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9623 loss: 0.9623 2022/06/30 20:00:59 - mmengine - INFO - Epoch(train) [97][2120/3757] lr: 1.000e-04 eta: 0:59:00 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 10.0372 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1057 loss: 1.1057 2022/06/30 20:01:05 - mmengine - INFO - Epoch(train) [97][2140/3757] lr: 1.000e-04 eta: 0:58:55 time: 0.245 data_time: 0.007 memory: 6404 grad_norm: 9.2458 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2211 loss: 1.2211 2022/06/30 20:01:10 - mmengine - INFO - Epoch(train) [97][2160/3757] lr: 1.000e-04 eta: 0:58:49 time: 0.257 data_time: 0.026 memory: 6404 grad_norm: 8.8670 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3623 loss: 1.3623 2022/06/30 20:01:15 - mmengine - INFO - Epoch(train) [97][2180/3757] lr: 1.000e-04 eta: 0:58:44 time: 0.262 data_time: 0.016 memory: 6404 grad_norm: 8.4961 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0441 loss: 1.0441 2022/06/30 20:01:21 - mmengine - INFO - Epoch(train) [97][2200/3757] lr: 1.000e-04 eta: 0:58:38 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 10.8522 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2025 loss: 1.2025 2022/06/30 20:01:26 - mmengine - INFO - Epoch(train) [97][2220/3757] lr: 1.000e-04 eta: 0:58:33 time: 0.261 data_time: 0.013 memory: 6404 grad_norm: 8.8693 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7530 loss: 0.7530 2022/06/30 20:01:31 - mmengine - INFO - Epoch(train) [97][2240/3757] lr: 1.000e-04 eta: 0:58:27 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 7.1238 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8946 loss: 0.8946 2022/06/30 20:01:37 - mmengine - INFO - Epoch(train) [97][2260/3757] lr: 1.000e-04 eta: 0:58:22 time: 0.247 data_time: 0.016 memory: 6404 grad_norm: 8.4519 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2954 loss: 1.2954 2022/06/30 20:01:42 - mmengine - INFO - Epoch(train) [97][2280/3757] lr: 1.000e-04 eta: 0:58:16 time: 0.245 data_time: 0.014 memory: 6404 grad_norm: 8.5435 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7671 loss: 0.7671 2022/06/30 20:01:48 - mmengine - INFO - Epoch(train) [97][2300/3757] lr: 1.000e-04 eta: 0:58:11 time: 0.280 data_time: 0.009 memory: 6404 grad_norm: 10.8605 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8242 loss: 0.8242 2022/06/30 20:01:53 - mmengine - INFO - Epoch(train) [97][2320/3757] lr: 1.000e-04 eta: 0:58:06 time: 0.273 data_time: 0.008 memory: 6404 grad_norm: 9.4269 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0941 loss: 1.0941 2022/06/30 20:01:56 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 20:01:59 - mmengine - INFO - Epoch(train) [97][2340/3757] lr: 1.000e-04 eta: 0:58:00 time: 0.261 data_time: 0.014 memory: 6404 grad_norm: 10.2305 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6690 loss: 0.6690 2022/06/30 20:02:05 - mmengine - INFO - Epoch(train) [97][2360/3757] lr: 1.000e-04 eta: 0:57:55 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 8.8938 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8472 loss: 0.8472 2022/06/30 20:02:11 - mmengine - INFO - Epoch(train) [97][2380/3757] lr: 1.000e-04 eta: 0:57:49 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 7.7251 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5731 loss: 0.5731 2022/06/30 20:02:16 - mmengine - INFO - Epoch(train) [97][2400/3757] lr: 1.000e-04 eta: 0:57:44 time: 0.261 data_time: 0.014 memory: 6404 grad_norm: 8.4171 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8226 loss: 0.8226 2022/06/30 20:02:21 - mmengine - INFO - Epoch(train) [97][2420/3757] lr: 1.000e-04 eta: 0:57:38 time: 0.259 data_time: 0.011 memory: 6404 grad_norm: 8.3141 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3100 loss: 1.3100 2022/06/30 20:02:26 - mmengine - INFO - Epoch(train) [97][2440/3757] lr: 1.000e-04 eta: 0:57:33 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 10.8384 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4955 loss: 1.4955 2022/06/30 20:02:32 - mmengine - INFO - Epoch(train) [97][2460/3757] lr: 1.000e-04 eta: 0:57:27 time: 0.268 data_time: 0.008 memory: 6404 grad_norm: 8.4104 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9137 loss: 0.9137 2022/06/30 20:02:38 - mmengine - INFO - Epoch(train) [97][2480/3757] lr: 1.000e-04 eta: 0:57:22 time: 0.365 data_time: 0.074 memory: 6404 grad_norm: 7.5379 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0964 loss: 1.0964 2022/06/30 20:02:43 - mmengine - INFO - Epoch(train) [97][2500/3757] lr: 1.000e-04 eta: 0:57:16 time: 0.285 data_time: 0.007 memory: 6404 grad_norm: 7.5379 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0325 loss: 1.0325 2022/06/30 20:02:49 - mmengine - INFO - Epoch(train) [97][2520/3757] lr: 1.000e-04 eta: 0:57:11 time: 0.257 data_time: 0.016 memory: 6404 grad_norm: 7.9293 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9977 loss: 0.9977 2022/06/30 20:02:54 - mmengine - INFO - Epoch(train) [97][2540/3757] lr: 1.000e-04 eta: 0:57:05 time: 0.252 data_time: 0.024 memory: 6404 grad_norm: 10.2678 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6862 loss: 0.6862 2022/06/30 20:02:59 - mmengine - INFO - Epoch(train) [97][2560/3757] lr: 1.000e-04 eta: 0:57:00 time: 0.265 data_time: 0.011 memory: 6404 grad_norm: 9.6528 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8280 loss: 0.8280 2022/06/30 20:03:05 - mmengine - INFO - Epoch(train) [97][2580/3757] lr: 1.000e-04 eta: 0:56:54 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 9.4627 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1071 loss: 1.1071 2022/06/30 20:03:11 - mmengine - INFO - Epoch(train) [97][2600/3757] lr: 1.000e-04 eta: 0:56:49 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 8.3467 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9176 loss: 0.9176 2022/06/30 20:03:16 - mmengine - INFO - Epoch(train) [97][2620/3757] lr: 1.000e-04 eta: 0:56:43 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 9.9222 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0386 loss: 1.0386 2022/06/30 20:03:21 - mmengine - INFO - Epoch(train) [97][2640/3757] lr: 1.000e-04 eta: 0:56:38 time: 0.251 data_time: 0.015 memory: 6404 grad_norm: 8.7593 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0067 loss: 1.0067 2022/06/30 20:03:27 - mmengine - INFO - Epoch(train) [97][2660/3757] lr: 1.000e-04 eta: 0:56:32 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 7.4721 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1666 loss: 1.1666 2022/06/30 20:03:32 - mmengine - INFO - Epoch(train) [97][2680/3757] lr: 1.000e-04 eta: 0:56:27 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 10.4710 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8487 loss: 0.8487 2022/06/30 20:03:38 - mmengine - INFO - Epoch(train) [97][2700/3757] lr: 1.000e-04 eta: 0:56:21 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 10.0370 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8795 loss: 0.8795 2022/06/30 20:03:43 - mmengine - INFO - Epoch(train) [97][2720/3757] lr: 1.000e-04 eta: 0:56:16 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 9.8791 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9685 loss: 0.9685 2022/06/30 20:03:49 - mmengine - INFO - Epoch(train) [97][2740/3757] lr: 1.000e-04 eta: 0:56:10 time: 0.263 data_time: 0.012 memory: 6404 grad_norm: 9.5458 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3246 loss: 1.3246 2022/06/30 20:03:54 - mmengine - INFO - Epoch(train) [97][2760/3757] lr: 1.000e-04 eta: 0:56:05 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 9.5736 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9702 loss: 0.9702 2022/06/30 20:04:00 - mmengine - INFO - Epoch(train) [97][2780/3757] lr: 1.000e-04 eta: 0:55:59 time: 0.247 data_time: 0.012 memory: 6404 grad_norm: 8.9247 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0123 loss: 1.0123 2022/06/30 20:04:05 - mmengine - INFO - Epoch(train) [97][2800/3757] lr: 1.000e-04 eta: 0:55:54 time: 0.265 data_time: 0.007 memory: 6404 grad_norm: 12.1988 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0676 loss: 1.0676 2022/06/30 20:04:10 - mmengine - INFO - Epoch(train) [97][2820/3757] lr: 1.000e-04 eta: 0:55:48 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 10.1915 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0239 loss: 1.0239 2022/06/30 20:04:16 - mmengine - INFO - Epoch(train) [97][2840/3757] lr: 1.000e-04 eta: 0:55:43 time: 0.265 data_time: 0.012 memory: 6404 grad_norm: 7.9558 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2038 loss: 1.2038 2022/06/30 20:04:22 - mmengine - INFO - Epoch(train) [97][2860/3757] lr: 1.000e-04 eta: 0:55:37 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.9440 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2631 loss: 1.2631 2022/06/30 20:04:27 - mmengine - INFO - Epoch(train) [97][2880/3757] lr: 1.000e-04 eta: 0:55:32 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 10.4016 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8116 loss: 0.8116 2022/06/30 20:04:32 - mmengine - INFO - Epoch(train) [97][2900/3757] lr: 1.000e-04 eta: 0:55:26 time: 0.259 data_time: 0.017 memory: 6404 grad_norm: 10.5406 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9878 loss: 0.9878 2022/06/30 20:04:38 - mmengine - INFO - Epoch(train) [97][2920/3757] lr: 1.000e-04 eta: 0:55:21 time: 0.363 data_time: 0.008 memory: 6404 grad_norm: 9.8542 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1918 loss: 1.1918 2022/06/30 20:04:43 - mmengine - INFO - Epoch(train) [97][2940/3757] lr: 1.000e-04 eta: 0:55:15 time: 0.262 data_time: 0.013 memory: 6404 grad_norm: 9.8418 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0277 loss: 1.0277 2022/06/30 20:04:49 - mmengine - INFO - Epoch(train) [97][2960/3757] lr: 1.000e-04 eta: 0:55:10 time: 0.256 data_time: 0.018 memory: 6404 grad_norm: 11.0147 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1551 loss: 1.1551 2022/06/30 20:04:54 - mmengine - INFO - Epoch(train) [97][2980/3757] lr: 1.000e-04 eta: 0:55:04 time: 0.267 data_time: 0.014 memory: 6404 grad_norm: 8.8658 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2352 loss: 1.2352 2022/06/30 20:05:00 - mmengine - INFO - Epoch(train) [97][3000/3757] lr: 1.000e-04 eta: 0:54:59 time: 0.248 data_time: 0.022 memory: 6404 grad_norm: 9.3554 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9070 loss: 0.9070 2022/06/30 20:05:05 - mmengine - INFO - Epoch(train) [97][3020/3757] lr: 1.000e-04 eta: 0:54:53 time: 0.248 data_time: 0.026 memory: 6404 grad_norm: 8.2615 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8859 loss: 0.8859 2022/06/30 20:05:10 - mmengine - INFO - Epoch(train) [97][3040/3757] lr: 1.000e-04 eta: 0:54:48 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 9.8910 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1692 loss: 1.1692 2022/06/30 20:05:16 - mmengine - INFO - Epoch(train) [97][3060/3757] lr: 1.000e-04 eta: 0:54:42 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 8.7875 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6409 loss: 0.6409 2022/06/30 20:05:21 - mmengine - INFO - Epoch(train) [97][3080/3757] lr: 1.000e-04 eta: 0:54:37 time: 0.291 data_time: 0.090 memory: 6404 grad_norm: 10.4453 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8204 loss: 0.8204 2022/06/30 20:05:26 - mmengine - INFO - Epoch(train) [97][3100/3757] lr: 1.000e-04 eta: 0:54:31 time: 0.398 data_time: 0.011 memory: 6404 grad_norm: 10.4458 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8241 loss: 0.8241 2022/06/30 20:05:32 - mmengine - INFO - Epoch(train) [97][3120/3757] lr: 1.000e-04 eta: 0:54:26 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 7.7211 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9977 loss: 0.9977 2022/06/30 20:05:38 - mmengine - INFO - Epoch(train) [97][3140/3757] lr: 1.000e-04 eta: 0:54:21 time: 0.251 data_time: 0.021 memory: 6404 grad_norm: 9.4743 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2048 loss: 1.2048 2022/06/30 20:05:43 - mmengine - INFO - Epoch(train) [97][3160/3757] lr: 1.000e-04 eta: 0:54:15 time: 0.259 data_time: 0.018 memory: 6404 grad_norm: 10.0794 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7440 loss: 0.7440 2022/06/30 20:05:50 - mmengine - INFO - Epoch(train) [97][3180/3757] lr: 1.000e-04 eta: 0:54:10 time: 0.256 data_time: 0.013 memory: 6404 grad_norm: 10.3089 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1929 loss: 1.1929 2022/06/30 20:05:55 - mmengine - INFO - Epoch(train) [97][3200/3757] lr: 1.000e-04 eta: 0:54:04 time: 0.259 data_time: 0.024 memory: 6404 grad_norm: 8.7435 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9395 loss: 0.9395 2022/06/30 20:06:01 - mmengine - INFO - Epoch(train) [97][3220/3757] lr: 1.000e-04 eta: 0:53:59 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 9.1659 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0790 loss: 1.0790 2022/06/30 20:06:06 - mmengine - INFO - Epoch(train) [97][3240/3757] lr: 1.000e-04 eta: 0:53:53 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 7.4648 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7824 loss: 0.7824 2022/06/30 20:06:12 - mmengine - INFO - Epoch(train) [97][3260/3757] lr: 1.000e-04 eta: 0:53:48 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 10.3270 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0162 loss: 1.0162 2022/06/30 20:06:17 - mmengine - INFO - Epoch(train) [97][3280/3757] lr: 1.000e-04 eta: 0:53:42 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 9.5317 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9392 loss: 0.9392 2022/06/30 20:06:22 - mmengine - INFO - Epoch(train) [97][3300/3757] lr: 1.000e-04 eta: 0:53:37 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 10.9219 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8749 loss: 0.8749 2022/06/30 20:06:28 - mmengine - INFO - Epoch(train) [97][3320/3757] lr: 1.000e-04 eta: 0:53:31 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 7.5626 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8990 loss: 0.8990 2022/06/30 20:06:31 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 20:06:34 - mmengine - INFO - Epoch(train) [97][3340/3757] lr: 1.000e-04 eta: 0:53:26 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 9.0800 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9646 loss: 0.9646 2022/06/30 20:06:39 - mmengine - INFO - Epoch(train) [97][3360/3757] lr: 1.000e-04 eta: 0:53:20 time: 0.254 data_time: 0.017 memory: 6404 grad_norm: 6.9381 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9457 loss: 0.9457 2022/06/30 20:06:44 - mmengine - INFO - Epoch(train) [97][3380/3757] lr: 1.000e-04 eta: 0:53:15 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 8.2171 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.7966 loss: 0.7966 2022/06/30 20:06:50 - mmengine - INFO - Epoch(train) [97][3400/3757] lr: 1.000e-04 eta: 0:53:09 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 11.0378 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2238 loss: 1.2238 2022/06/30 20:06:55 - mmengine - INFO - Epoch(train) [97][3420/3757] lr: 1.000e-04 eta: 0:53:04 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.8677 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1974 loss: 1.1974 2022/06/30 20:07:00 - mmengine - INFO - Epoch(train) [97][3440/3757] lr: 1.000e-04 eta: 0:52:58 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 8.8599 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1175 loss: 1.1175 2022/06/30 20:07:06 - mmengine - INFO - Epoch(train) [97][3460/3757] lr: 1.000e-04 eta: 0:52:53 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 9.7539 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2313 loss: 1.2313 2022/06/30 20:07:11 - mmengine - INFO - Epoch(train) [97][3480/3757] lr: 1.000e-04 eta: 0:52:47 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.1342 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7517 loss: 0.7517 2022/06/30 20:07:17 - mmengine - INFO - Epoch(train) [97][3500/3757] lr: 1.000e-04 eta: 0:52:42 time: 0.245 data_time: 0.032 memory: 6404 grad_norm: 9.8226 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7876 loss: 0.7876 2022/06/30 20:07:23 - mmengine - INFO - Epoch(train) [97][3520/3757] lr: 1.000e-04 eta: 0:52:36 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 9.5248 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9441 loss: 0.9441 2022/06/30 20:07:28 - mmengine - INFO - Epoch(train) [97][3540/3757] lr: 1.000e-04 eta: 0:52:31 time: 0.686 data_time: 0.011 memory: 6404 grad_norm: 9.1263 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9000 loss: 0.9000 2022/06/30 20:07:34 - mmengine - INFO - Epoch(train) [97][3560/3757] lr: 1.000e-04 eta: 0:52:25 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 9.3690 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1629 loss: 1.1629 2022/06/30 20:07:39 - mmengine - INFO - Epoch(train) [97][3580/3757] lr: 1.000e-04 eta: 0:52:20 time: 0.261 data_time: 0.013 memory: 6404 grad_norm: 7.5083 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9264 loss: 0.9264 2022/06/30 20:07:45 - mmengine - INFO - Epoch(train) [97][3600/3757] lr: 1.000e-04 eta: 0:52:14 time: 0.276 data_time: 0.008 memory: 6404 grad_norm: 9.2495 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9789 loss: 0.9789 2022/06/30 20:07:51 - mmengine - INFO - Epoch(train) [97][3620/3757] lr: 1.000e-04 eta: 0:52:09 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 10.5372 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7690 loss: 0.7690 2022/06/30 20:07:56 - mmengine - INFO - Epoch(train) [97][3640/3757] lr: 1.000e-04 eta: 0:52:03 time: 0.269 data_time: 0.011 memory: 6404 grad_norm: 9.8786 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2329 loss: 1.2329 2022/06/30 20:08:01 - mmengine - INFO - Epoch(train) [97][3660/3757] lr: 1.000e-04 eta: 0:51:58 time: 0.253 data_time: 0.015 memory: 6404 grad_norm: 10.5354 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9194 loss: 0.9194 2022/06/30 20:08:07 - mmengine - INFO - Epoch(train) [97][3680/3757] lr: 1.000e-04 eta: 0:51:52 time: 0.280 data_time: 0.007 memory: 6404 grad_norm: 11.4478 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8614 loss: 0.8614 2022/06/30 20:08:12 - mmengine - INFO - Epoch(train) [97][3700/3757] lr: 1.000e-04 eta: 0:51:47 time: 0.255 data_time: 0.017 memory: 6404 grad_norm: 9.1559 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1457 loss: 1.1457 2022/06/30 20:08:18 - mmengine - INFO - Epoch(train) [97][3720/3757] lr: 1.000e-04 eta: 0:51:41 time: 0.266 data_time: 0.009 memory: 6404 grad_norm: 9.1813 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0716 loss: 1.0716 2022/06/30 20:08:23 - mmengine - INFO - Epoch(train) [97][3740/3757] lr: 1.000e-04 eta: 0:51:36 time: 0.276 data_time: 0.028 memory: 6404 grad_norm: 9.7989 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8317 loss: 0.8317 2022/06/30 20:08:27 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 20:08:35 - mmengine - INFO - Epoch(val) [97][20/310] eta: 0:01:21 time: 0.095 data_time: 0.007 memory: 6404 2022/06/30 20:08:40 - mmengine - INFO - Epoch(val) [97][40/310] eta: 0:01:15 time: 0.089 data_time: 0.009 memory: 1479 2022/06/30 20:08:44 - mmengine - INFO - Epoch(val) [97][60/310] eta: 0:00:26 time: 0.100 data_time: 0.007 memory: 1479 2022/06/30 20:08:50 - mmengine - INFO - Epoch(val) [97][80/310] eta: 0:01:13 time: 0.091 data_time: 0.006 memory: 1479 2022/06/30 20:08:56 - mmengine - INFO - Epoch(val) [97][100/310] eta: 0:00:47 time: 0.082 data_time: 0.005 memory: 1479 2022/06/30 20:09:00 - mmengine - INFO - Epoch(val) [97][120/310] eta: 0:00:29 time: 0.089 data_time: 0.007 memory: 1479 2022/06/30 20:09:06 - mmengine - INFO - Epoch(val) [97][140/310] eta: 0:00:50 time: 0.089 data_time: 0.009 memory: 1479 2022/06/30 20:09:12 - mmengine - INFO - Epoch(val) [97][160/310] eta: 0:00:35 time: 0.085 data_time: 0.009 memory: 1479 2022/06/30 20:09:17 - mmengine - INFO - Epoch(val) [97][180/310] eta: 0:00:24 time: 0.088 data_time: 0.005 memory: 1479 2022/06/30 20:09:23 - mmengine - INFO - Epoch(val) [97][200/310] eta: 0:00:32 time: 0.086 data_time: 0.007 memory: 1479 2022/06/30 20:09:28 - mmengine - INFO - Epoch(val) [97][220/310] eta: 0:00:19 time: 0.080 data_time: 0.005 memory: 1479 2022/06/30 20:09:32 - mmengine - INFO - Epoch(val) [97][240/310] eta: 0:00:13 time: 0.084 data_time: 0.006 memory: 1479 2022/06/30 20:09:38 - mmengine - INFO - Epoch(val) [97][260/310] eta: 0:00:15 time: 0.180 data_time: 0.007 memory: 1479 2022/06/30 20:09:44 - mmengine - INFO - Epoch(val) [97][280/310] eta: 0:00:08 time: 0.085 data_time: 0.005 memory: 1479 2022/06/30 20:09:48 - mmengine - INFO - Epoch(val) [97][300/310] eta: 0:00:01 time: 0.088 data_time: 0.009 memory: 1479 2022/06/30 20:09:52 - mmengine - INFO - Epoch(val) [97][310/310] acc/top1: 0.6758 acc/top5: 0.8713 acc/mean1: 0.6757 2022/06/30 20:10:01 - mmengine - INFO - Epoch(train) [98][20/3757] lr: 1.000e-04 eta: 0:51:26 time: 0.266 data_time: 0.010 memory: 6404 grad_norm: 11.1892 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2844 loss: 1.2844 2022/06/30 20:10:06 - mmengine - INFO - Epoch(train) [98][40/3757] lr: 1.000e-04 eta: 0:51:20 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 8.1160 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9894 loss: 0.9894 2022/06/30 20:10:12 - mmengine - INFO - Epoch(train) [98][60/3757] lr: 1.000e-04 eta: 0:51:15 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 9.5308 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2574 loss: 1.2574 2022/06/30 20:10:17 - mmengine - INFO - Epoch(train) [98][80/3757] lr: 1.000e-04 eta: 0:51:09 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 8.1609 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9233 loss: 0.9233 2022/06/30 20:10:24 - mmengine - INFO - Epoch(train) [98][100/3757] lr: 1.000e-04 eta: 0:51:04 time: 0.506 data_time: 0.314 memory: 6404 grad_norm: 9.6383 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9705 loss: 0.9705 2022/06/30 20:10:29 - mmengine - INFO - Epoch(train) [98][120/3757] lr: 1.000e-04 eta: 0:50:58 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 10.3552 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8561 loss: 0.8561 2022/06/30 20:10:35 - mmengine - INFO - Epoch(train) [98][140/3757] lr: 1.000e-04 eta: 0:50:53 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 10.2452 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9309 loss: 0.9309 2022/06/30 20:10:40 - mmengine - INFO - Epoch(train) [98][160/3757] lr: 1.000e-04 eta: 0:50:47 time: 0.246 data_time: 0.013 memory: 6404 grad_norm: 8.9775 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0607 loss: 1.0607 2022/06/30 20:10:45 - mmengine - INFO - Epoch(train) [98][180/3757] lr: 1.000e-04 eta: 0:50:42 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 8.9696 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7315 loss: 0.7315 2022/06/30 20:10:52 - mmengine - INFO - Epoch(train) [98][200/3757] lr: 1.000e-04 eta: 0:50:37 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 9.5847 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9814 loss: 0.9814 2022/06/30 20:10:57 - mmengine - INFO - Epoch(train) [98][220/3757] lr: 1.000e-04 eta: 0:50:31 time: 0.279 data_time: 0.008 memory: 6404 grad_norm: 11.2085 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7116 loss: 0.7116 2022/06/30 20:11:02 - mmengine - INFO - Epoch(train) [98][240/3757] lr: 1.000e-04 eta: 0:50:26 time: 0.255 data_time: 0.010 memory: 6404 grad_norm: 9.9407 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0465 loss: 1.0465 2022/06/30 20:11:09 - mmengine - INFO - Epoch(train) [98][260/3757] lr: 1.000e-04 eta: 0:50:20 time: 0.369 data_time: 0.009 memory: 6404 grad_norm: 10.0708 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7575 loss: 0.7575 2022/06/30 20:11:14 - mmengine - INFO - Epoch(train) [98][280/3757] lr: 1.000e-04 eta: 0:50:15 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 8.8704 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8115 loss: 0.8115 2022/06/30 20:11:19 - mmengine - INFO - Epoch(train) [98][300/3757] lr: 1.000e-04 eta: 0:50:09 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 9.0109 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8494 loss: 0.8494 2022/06/30 20:11:25 - mmengine - INFO - Epoch(train) [98][320/3757] lr: 1.000e-04 eta: 0:50:04 time: 0.255 data_time: 0.019 memory: 6404 grad_norm: 9.6742 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1438 loss: 1.1438 2022/06/30 20:11:30 - mmengine - INFO - Epoch(train) [98][340/3757] lr: 1.000e-04 eta: 0:49:58 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 10.3165 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6227 loss: 0.6227 2022/06/30 20:11:35 - mmengine - INFO - Epoch(train) [98][360/3757] lr: 1.000e-04 eta: 0:49:53 time: 0.264 data_time: 0.023 memory: 6404 grad_norm: 8.9006 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9674 loss: 0.9674 2022/06/30 20:11:41 - mmengine - INFO - Epoch(train) [98][380/3757] lr: 1.000e-04 eta: 0:49:47 time: 0.265 data_time: 0.011 memory: 6404 grad_norm: 8.5926 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0259 loss: 1.0259 2022/06/30 20:11:46 - mmengine - INFO - Epoch(train) [98][400/3757] lr: 1.000e-04 eta: 0:49:42 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 7.4576 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9891 loss: 0.9891 2022/06/30 20:11:51 - mmengine - INFO - Epoch(train) [98][420/3757] lr: 1.000e-04 eta: 0:49:36 time: 0.263 data_time: 0.028 memory: 6404 grad_norm: 8.7766 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3159 loss: 1.3159 2022/06/30 20:11:57 - mmengine - INFO - Epoch(train) [98][440/3757] lr: 1.000e-04 eta: 0:49:31 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 9.4910 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1220 loss: 1.1220 2022/06/30 20:12:02 - mmengine - INFO - Epoch(train) [98][460/3757] lr: 1.000e-04 eta: 0:49:25 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 10.2869 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8266 loss: 0.8266 2022/06/30 20:12:08 - mmengine - INFO - Epoch(train) [98][480/3757] lr: 1.000e-04 eta: 0:49:20 time: 0.257 data_time: 0.017 memory: 6404 grad_norm: 7.3461 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8095 loss: 0.8095 2022/06/30 20:12:14 - mmengine - INFO - Epoch(train) [98][500/3757] lr: 1.000e-04 eta: 0:49:14 time: 0.274 data_time: 0.008 memory: 6404 grad_norm: 9.2696 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2213 loss: 1.2213 2022/06/30 20:12:20 - mmengine - INFO - Epoch(train) [98][520/3757] lr: 1.000e-04 eta: 0:49:09 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 9.7911 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4456 loss: 1.4456 2022/06/30 20:12:25 - mmengine - INFO - Epoch(train) [98][540/3757] lr: 1.000e-04 eta: 0:49:03 time: 0.258 data_time: 0.016 memory: 6404 grad_norm: 8.8186 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9544 loss: 0.9544 2022/06/30 20:12:30 - mmengine - INFO - Epoch(train) [98][560/3757] lr: 1.000e-04 eta: 0:48:58 time: 0.261 data_time: 0.009 memory: 6404 grad_norm: 10.2330 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2714 loss: 1.2714 2022/06/30 20:12:33 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 20:12:36 - mmengine - INFO - Epoch(train) [98][580/3757] lr: 1.000e-04 eta: 0:48:52 time: 0.270 data_time: 0.009 memory: 6404 grad_norm: 8.3554 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8409 loss: 0.8409 2022/06/30 20:12:41 - mmengine - INFO - Epoch(train) [98][600/3757] lr: 1.000e-04 eta: 0:48:47 time: 0.259 data_time: 0.025 memory: 6404 grad_norm: 10.3461 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6507 loss: 0.6507 2022/06/30 20:12:47 - mmengine - INFO - Epoch(train) [98][620/3757] lr: 1.000e-04 eta: 0:48:41 time: 0.261 data_time: 0.015 memory: 6404 grad_norm: 9.3370 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1940 loss: 1.1940 2022/06/30 20:12:52 - mmengine - INFO - Epoch(train) [98][640/3757] lr: 1.000e-04 eta: 0:48:36 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 9.6009 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0569 loss: 1.0569 2022/06/30 20:12:57 - mmengine - INFO - Epoch(train) [98][660/3757] lr: 1.000e-04 eta: 0:48:30 time: 0.267 data_time: 0.020 memory: 6404 grad_norm: 9.1359 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9754 loss: 0.9754 2022/06/30 20:13:03 - mmengine - INFO - Epoch(train) [98][680/3757] lr: 1.000e-04 eta: 0:48:25 time: 0.257 data_time: 0.015 memory: 6404 grad_norm: 10.2782 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9190 loss: 0.9190 2022/06/30 20:13:08 - mmengine - INFO - Epoch(train) [98][700/3757] lr: 1.000e-04 eta: 0:48:19 time: 0.264 data_time: 0.012 memory: 6404 grad_norm: 9.5024 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7753 loss: 0.7753 2022/06/30 20:13:13 - mmengine - INFO - Epoch(train) [98][720/3757] lr: 1.000e-04 eta: 0:48:14 time: 0.253 data_time: 0.023 memory: 6404 grad_norm: 7.7484 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9461 loss: 0.9461 2022/06/30 20:13:19 - mmengine - INFO - Epoch(train) [98][740/3757] lr: 1.000e-04 eta: 0:48:08 time: 0.923 data_time: 0.015 memory: 6404 grad_norm: 8.9203 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9001 loss: 0.9001 2022/06/30 20:13:25 - mmengine - INFO - Epoch(train) [98][760/3757] lr: 1.000e-04 eta: 0:48:03 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 9.3393 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8349 loss: 0.8349 2022/06/30 20:13:30 - mmengine - INFO - Epoch(train) [98][780/3757] lr: 1.000e-04 eta: 0:47:57 time: 0.253 data_time: 0.035 memory: 6404 grad_norm: 9.3553 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6462 loss: 0.6462 2022/06/30 20:13:35 - mmengine - INFO - Epoch(train) [98][800/3757] lr: 1.000e-04 eta: 0:47:52 time: 0.250 data_time: 0.013 memory: 6404 grad_norm: 8.9987 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8217 loss: 0.8217 2022/06/30 20:13:41 - mmengine - INFO - Epoch(train) [98][820/3757] lr: 1.000e-04 eta: 0:47:46 time: 0.267 data_time: 0.011 memory: 6404 grad_norm: 9.0289 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2136 loss: 1.2136 2022/06/30 20:13:46 - mmengine - INFO - Epoch(train) [98][840/3757] lr: 1.000e-04 eta: 0:47:41 time: 0.266 data_time: 0.026 memory: 6404 grad_norm: 9.6265 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1523 loss: 1.1523 2022/06/30 20:13:52 - mmengine - INFO - Epoch(train) [98][860/3757] lr: 1.000e-04 eta: 0:47:35 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 9.8145 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7302 loss: 0.7302 2022/06/30 20:13:57 - mmengine - INFO - Epoch(train) [98][880/3757] lr: 1.000e-04 eta: 0:47:30 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 9.7093 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2716 loss: 1.2716 2022/06/30 20:14:03 - mmengine - INFO - Epoch(train) [98][900/3757] lr: 1.000e-04 eta: 0:47:24 time: 0.258 data_time: 0.025 memory: 6404 grad_norm: 8.8353 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0650 loss: 1.0650 2022/06/30 20:14:09 - mmengine - INFO - Epoch(train) [98][920/3757] lr: 1.000e-04 eta: 0:47:19 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 8.6257 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8400 loss: 0.8400 2022/06/30 20:14:14 - mmengine - INFO - Epoch(train) [98][940/3757] lr: 1.000e-04 eta: 0:47:13 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 7.8036 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1056 loss: 1.1056 2022/06/30 20:14:21 - mmengine - INFO - Epoch(train) [98][960/3757] lr: 1.000e-04 eta: 0:47:08 time: 0.268 data_time: 0.028 memory: 6404 grad_norm: 9.6588 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1186 loss: 1.1186 2022/06/30 20:14:26 - mmengine - INFO - Epoch(train) [98][980/3757] lr: 1.000e-04 eta: 0:47:03 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 10.3960 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3368 loss: 1.3368 2022/06/30 20:14:31 - mmengine - INFO - Epoch(train) [98][1000/3757] lr: 1.000e-04 eta: 0:46:57 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 8.1079 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1498 loss: 1.1498 2022/06/30 20:14:36 - mmengine - INFO - Epoch(train) [98][1020/3757] lr: 1.000e-04 eta: 0:46:52 time: 0.264 data_time: 0.026 memory: 6404 grad_norm: 11.2377 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8422 loss: 0.8422 2022/06/30 20:14:42 - mmengine - INFO - Epoch(train) [98][1040/3757] lr: 1.000e-04 eta: 0:46:46 time: 0.250 data_time: 0.015 memory: 6404 grad_norm: 8.9508 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8844 loss: 0.8844 2022/06/30 20:14:47 - mmengine - INFO - Epoch(train) [98][1060/3757] lr: 1.000e-04 eta: 0:46:41 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 12.0501 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1332 loss: 1.1332 2022/06/30 20:14:52 - mmengine - INFO - Epoch(train) [98][1080/3757] lr: 1.000e-04 eta: 0:46:35 time: 0.257 data_time: 0.037 memory: 6404 grad_norm: 11.0335 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8354 loss: 0.8354 2022/06/30 20:14:58 - mmengine - INFO - Epoch(train) [98][1100/3757] lr: 1.000e-04 eta: 0:46:30 time: 0.267 data_time: 0.015 memory: 6404 grad_norm: 7.8498 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8865 loss: 0.8865 2022/06/30 20:15:03 - mmengine - INFO - Epoch(train) [98][1120/3757] lr: 1.000e-04 eta: 0:46:24 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 10.2298 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8590 loss: 0.8590 2022/06/30 20:15:09 - mmengine - INFO - Epoch(train) [98][1140/3757] lr: 1.000e-04 eta: 0:46:19 time: 0.258 data_time: 0.020 memory: 6404 grad_norm: 10.9396 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7571 loss: 0.7571 2022/06/30 20:15:15 - mmengine - INFO - Epoch(train) [98][1160/3757] lr: 1.000e-04 eta: 0:46:13 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 9.6521 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0651 loss: 1.0651 2022/06/30 20:15:21 - mmengine - INFO - Epoch(train) [98][1180/3757] lr: 1.000e-04 eta: 0:46:08 time: 0.267 data_time: 0.013 memory: 6404 grad_norm: 8.6561 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8542 loss: 0.8542 2022/06/30 20:15:26 - mmengine - INFO - Epoch(train) [98][1200/3757] lr: 1.000e-04 eta: 0:46:02 time: 0.277 data_time: 0.020 memory: 6404 grad_norm: 8.9748 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7225 loss: 0.7225 2022/06/30 20:15:31 - mmengine - INFO - Epoch(train) [98][1220/3757] lr: 1.000e-04 eta: 0:45:57 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 10.2084 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1324 loss: 1.1324 2022/06/30 20:15:37 - mmengine - INFO - Epoch(train) [98][1240/3757] lr: 1.000e-04 eta: 0:45:51 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 8.3258 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9152 loss: 0.9152 2022/06/30 20:15:43 - mmengine - INFO - Epoch(train) [98][1260/3757] lr: 1.000e-04 eta: 0:45:46 time: 0.295 data_time: 0.011 memory: 6404 grad_norm: 8.8233 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9102 loss: 0.9102 2022/06/30 20:15:48 - mmengine - INFO - Epoch(train) [98][1280/3757] lr: 1.000e-04 eta: 0:45:40 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 8.8631 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1715 loss: 1.1715 2022/06/30 20:15:53 - mmengine - INFO - Epoch(train) [98][1300/3757] lr: 1.000e-04 eta: 0:45:35 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 9.1185 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9155 loss: 0.9155 2022/06/30 20:15:58 - mmengine - INFO - Epoch(train) [98][1320/3757] lr: 1.000e-04 eta: 0:45:29 time: 0.265 data_time: 0.045 memory: 6404 grad_norm: 9.5950 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0623 loss: 1.0623 2022/06/30 20:16:05 - mmengine - INFO - Epoch(train) [98][1340/3757] lr: 1.000e-04 eta: 0:45:24 time: 0.265 data_time: 0.012 memory: 6404 grad_norm: 9.0135 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9983 loss: 0.9983 2022/06/30 20:16:10 - mmengine - INFO - Epoch(train) [98][1360/3757] lr: 1.000e-04 eta: 0:45:18 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 9.6261 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8458 loss: 0.8458 2022/06/30 20:16:15 - mmengine - INFO - Epoch(train) [98][1380/3757] lr: 1.000e-04 eta: 0:45:13 time: 0.260 data_time: 0.014 memory: 6404 grad_norm: 9.3016 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6798 loss: 0.6798 2022/06/30 20:16:21 - mmengine - INFO - Epoch(train) [98][1400/3757] lr: 1.000e-04 eta: 0:45:07 time: 0.246 data_time: 0.011 memory: 6404 grad_norm: 7.4661 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0461 loss: 1.0461 2022/06/30 20:16:26 - mmengine - INFO - Epoch(train) [98][1420/3757] lr: 1.000e-04 eta: 0:45:02 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 8.4495 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7864 loss: 0.7864 2022/06/30 20:16:31 - mmengine - INFO - Epoch(train) [98][1440/3757] lr: 1.000e-04 eta: 0:44:56 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 10.8204 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9776 loss: 0.9776 2022/06/30 20:16:36 - mmengine - INFO - Epoch(train) [98][1460/3757] lr: 1.000e-04 eta: 0:44:51 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 9.8323 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8876 loss: 0.8876 2022/06/30 20:16:42 - mmengine - INFO - Epoch(train) [98][1480/3757] lr: 1.000e-04 eta: 0:44:45 time: 0.272 data_time: 0.013 memory: 6404 grad_norm: 9.5743 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1413 loss: 1.1413 2022/06/30 20:16:48 - mmengine - INFO - Epoch(train) [98][1500/3757] lr: 1.000e-04 eta: 0:44:40 time: 0.262 data_time: 0.014 memory: 6404 grad_norm: 9.0168 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0178 loss: 1.0178 2022/06/30 20:16:53 - mmengine - INFO - Epoch(train) [98][1520/3757] lr: 1.000e-04 eta: 0:44:34 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 9.9541 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5559 loss: 1.5559 2022/06/30 20:16:59 - mmengine - INFO - Epoch(train) [98][1540/3757] lr: 1.000e-04 eta: 0:44:29 time: 0.267 data_time: 0.011 memory: 6404 grad_norm: 8.5607 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4286 loss: 1.4286 2022/06/30 20:17:04 - mmengine - INFO - Epoch(train) [98][1560/3757] lr: 1.000e-04 eta: 0:44:23 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 8.5512 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1281 loss: 1.1281 2022/06/30 20:17:07 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 20:17:10 - mmengine - INFO - Epoch(train) [98][1580/3757] lr: 1.000e-04 eta: 0:44:18 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 10.0068 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8489 loss: 0.8489 2022/06/30 20:17:15 - mmengine - INFO - Epoch(train) [98][1600/3757] lr: 1.000e-04 eta: 0:44:12 time: 0.254 data_time: 0.011 memory: 6404 grad_norm: 9.7346 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9126 loss: 0.9126 2022/06/30 20:17:21 - mmengine - INFO - Epoch(train) [98][1620/3757] lr: 1.000e-04 eta: 0:44:07 time: 0.240 data_time: 0.009 memory: 6404 grad_norm: 9.8279 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7313 loss: 0.7313 2022/06/30 20:17:26 - mmengine - INFO - Epoch(train) [98][1640/3757] lr: 1.000e-04 eta: 0:44:01 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.7005 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0214 loss: 1.0214 2022/06/30 20:17:31 - mmengine - INFO - Epoch(train) [98][1660/3757] lr: 1.000e-04 eta: 0:43:56 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 10.0755 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0150 loss: 1.0150 2022/06/30 20:17:37 - mmengine - INFO - Epoch(train) [98][1680/3757] lr: 1.000e-04 eta: 0:43:50 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.9936 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9064 loss: 0.9064 2022/06/30 20:17:42 - mmengine - INFO - Epoch(train) [98][1700/3757] lr: 1.000e-04 eta: 0:43:45 time: 0.263 data_time: 0.008 memory: 6404 grad_norm: 8.3706 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9734 loss: 0.9734 2022/06/30 20:17:48 - mmengine - INFO - Epoch(train) [98][1720/3757] lr: 1.000e-04 eta: 0:43:39 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 10.5610 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7018 loss: 0.7018 2022/06/30 20:17:54 - mmengine - INFO - Epoch(train) [98][1740/3757] lr: 1.000e-04 eta: 0:43:34 time: 0.257 data_time: 0.015 memory: 6404 grad_norm: 9.7654 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0145 loss: 1.0145 2022/06/30 20:17:59 - mmengine - INFO - Epoch(train) [98][1760/3757] lr: 1.000e-04 eta: 0:43:28 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 7.2680 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1004 loss: 1.1004 2022/06/30 20:18:05 - mmengine - INFO - Epoch(train) [98][1780/3757] lr: 1.000e-04 eta: 0:43:23 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 6.9160 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9944 loss: 0.9944 2022/06/30 20:18:10 - mmengine - INFO - Epoch(train) [98][1800/3757] lr: 1.000e-04 eta: 0:43:18 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 8.3510 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2380 loss: 1.2380 2022/06/30 20:18:16 - mmengine - INFO - Epoch(train) [98][1820/3757] lr: 1.000e-04 eta: 0:43:12 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 9.5985 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8558 loss: 0.8558 2022/06/30 20:18:22 - mmengine - INFO - Epoch(train) [98][1840/3757] lr: 1.000e-04 eta: 0:43:07 time: 0.254 data_time: 0.014 memory: 6404 grad_norm: 8.5997 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0969 loss: 1.0969 2022/06/30 20:18:27 - mmengine - INFO - Epoch(train) [98][1860/3757] lr: 1.000e-04 eta: 0:43:01 time: 0.270 data_time: 0.007 memory: 6404 grad_norm: 9.7226 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7941 loss: 0.7941 2022/06/30 20:18:33 - mmengine - INFO - Epoch(train) [98][1880/3757] lr: 1.000e-04 eta: 0:42:56 time: 0.258 data_time: 0.009 memory: 6404 grad_norm: 9.2168 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7712 loss: 0.7712 2022/06/30 20:18:38 - mmengine - INFO - Epoch(train) [98][1900/3757] lr: 1.000e-04 eta: 0:42:50 time: 0.260 data_time: 0.012 memory: 6404 grad_norm: 10.8638 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9432 loss: 0.9432 2022/06/30 20:18:44 - mmengine - INFO - Epoch(train) [98][1920/3757] lr: 1.000e-04 eta: 0:42:45 time: 0.258 data_time: 0.015 memory: 6404 grad_norm: 10.0397 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1713 loss: 1.1713 2022/06/30 20:18:49 - mmengine - INFO - Epoch(train) [98][1940/3757] lr: 1.000e-04 eta: 0:42:39 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 9.6848 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0295 loss: 1.0295 2022/06/30 20:18:54 - mmengine - INFO - Epoch(train) [98][1960/3757] lr: 1.000e-04 eta: 0:42:34 time: 0.253 data_time: 0.013 memory: 6404 grad_norm: 8.8545 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2064 loss: 1.2064 2022/06/30 20:19:01 - mmengine - INFO - Epoch(train) [98][1980/3757] lr: 1.000e-04 eta: 0:42:28 time: 0.261 data_time: 0.011 memory: 6404 grad_norm: 9.7749 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0611 loss: 1.0611 2022/06/30 20:19:06 - mmengine - INFO - Epoch(train) [98][2000/3757] lr: 1.000e-04 eta: 0:42:23 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 6.7695 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0037 loss: 1.0037 2022/06/30 20:19:11 - mmengine - INFO - Epoch(train) [98][2020/3757] lr: 1.000e-04 eta: 0:42:17 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 10.7319 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8496 loss: 0.8496 2022/06/30 20:19:17 - mmengine - INFO - Epoch(train) [98][2040/3757] lr: 1.000e-04 eta: 0:42:12 time: 0.299 data_time: 0.011 memory: 6404 grad_norm: 8.6851 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8342 loss: 0.8342 2022/06/30 20:19:23 - mmengine - INFO - Epoch(train) [98][2060/3757] lr: 1.000e-04 eta: 0:42:06 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 9.9132 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3387 loss: 1.3387 2022/06/30 20:19:28 - mmengine - INFO - Epoch(train) [98][2080/3757] lr: 1.000e-04 eta: 0:42:01 time: 0.256 data_time: 0.015 memory: 6404 grad_norm: 8.2066 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8623 loss: 0.8623 2022/06/30 20:19:33 - mmengine - INFO - Epoch(train) [98][2100/3757] lr: 1.000e-04 eta: 0:41:55 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 6.2274 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1426 loss: 1.1426 2022/06/30 20:19:39 - mmengine - INFO - Epoch(train) [98][2120/3757] lr: 1.000e-04 eta: 0:41:50 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 8.3605 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0250 loss: 1.0250 2022/06/30 20:19:45 - mmengine - INFO - Epoch(train) [98][2140/3757] lr: 1.000e-04 eta: 0:41:44 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 7.5885 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8268 loss: 0.8268 2022/06/30 20:19:50 - mmengine - INFO - Epoch(train) [98][2160/3757] lr: 1.000e-04 eta: 0:41:39 time: 0.257 data_time: 0.015 memory: 6404 grad_norm: 8.4534 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0917 loss: 1.0917 2022/06/30 20:19:55 - mmengine - INFO - Epoch(train) [98][2180/3757] lr: 1.000e-04 eta: 0:41:33 time: 0.259 data_time: 0.015 memory: 6404 grad_norm: 8.6123 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0039 loss: 1.0039 2022/06/30 20:20:01 - mmengine - INFO - Epoch(train) [98][2200/3757] lr: 1.000e-04 eta: 0:41:28 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 9.3764 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0527 loss: 1.0527 2022/06/30 20:20:06 - mmengine - INFO - Epoch(train) [98][2220/3757] lr: 1.000e-04 eta: 0:41:22 time: 0.258 data_time: 0.012 memory: 6404 grad_norm: 8.5934 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8445 loss: 0.8445 2022/06/30 20:20:12 - mmengine - INFO - Epoch(train) [98][2240/3757] lr: 1.000e-04 eta: 0:41:17 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 7.7755 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8462 loss: 0.8462 2022/06/30 20:20:17 - mmengine - INFO - Epoch(train) [98][2260/3757] lr: 1.000e-04 eta: 0:41:11 time: 0.243 data_time: 0.011 memory: 6404 grad_norm: 9.9392 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8340 loss: 0.8340 2022/06/30 20:20:22 - mmengine - INFO - Epoch(train) [98][2280/3757] lr: 1.000e-04 eta: 0:41:06 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 9.4875 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8830 loss: 0.8830 2022/06/30 20:20:28 - mmengine - INFO - Epoch(train) [98][2300/3757] lr: 1.000e-04 eta: 0:41:00 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 8.4237 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0793 loss: 1.0793 2022/06/30 20:20:33 - mmengine - INFO - Epoch(train) [98][2320/3757] lr: 1.000e-04 eta: 0:40:55 time: 0.273 data_time: 0.007 memory: 6404 grad_norm: 8.4580 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8708 loss: 0.8708 2022/06/30 20:20:39 - mmengine - INFO - Epoch(train) [98][2340/3757] lr: 1.000e-04 eta: 0:40:49 time: 0.265 data_time: 0.016 memory: 6404 grad_norm: 9.5349 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0990 loss: 1.0990 2022/06/30 20:20:46 - mmengine - INFO - Epoch(train) [98][2360/3757] lr: 1.000e-04 eta: 0:40:44 time: 0.259 data_time: 0.024 memory: 6404 grad_norm: 8.9367 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1274 loss: 1.1274 2022/06/30 20:20:51 - mmengine - INFO - Epoch(train) [98][2380/3757] lr: 1.000e-04 eta: 0:40:38 time: 0.260 data_time: 0.012 memory: 6404 grad_norm: 9.1150 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9429 loss: 0.9429 2022/06/30 20:20:56 - mmengine - INFO - Epoch(train) [98][2400/3757] lr: 1.000e-04 eta: 0:40:33 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 9.9353 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.8340 loss: 0.8340 2022/06/30 20:21:02 - mmengine - INFO - Epoch(train) [98][2420/3757] lr: 1.000e-04 eta: 0:40:27 time: 0.283 data_time: 0.012 memory: 6404 grad_norm: 7.7607 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2210 loss: 1.2210 2022/06/30 20:21:08 - mmengine - INFO - Epoch(train) [98][2440/3757] lr: 1.000e-04 eta: 0:40:22 time: 0.255 data_time: 0.013 memory: 6404 grad_norm: 9.2096 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9694 loss: 0.9694 2022/06/30 20:21:13 - mmengine - INFO - Epoch(train) [98][2460/3757] lr: 1.000e-04 eta: 0:40:17 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 7.7891 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0665 loss: 1.0665 2022/06/30 20:21:18 - mmengine - INFO - Epoch(train) [98][2480/3757] lr: 1.000e-04 eta: 0:40:11 time: 0.250 data_time: 0.012 memory: 6404 grad_norm: 8.9563 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9710 loss: 0.9710 2022/06/30 20:21:24 - mmengine - INFO - Epoch(train) [98][2500/3757] lr: 1.000e-04 eta: 0:40:06 time: 0.249 data_time: 0.016 memory: 6404 grad_norm: 7.8863 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0425 loss: 1.0425 2022/06/30 20:21:29 - mmengine - INFO - Epoch(train) [98][2520/3757] lr: 1.000e-04 eta: 0:40:00 time: 0.258 data_time: 0.019 memory: 6404 grad_norm: 8.9573 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0087 loss: 1.0087 2022/06/30 20:21:34 - mmengine - INFO - Epoch(train) [98][2540/3757] lr: 1.000e-04 eta: 0:39:55 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 7.8241 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8177 loss: 0.8177 2022/06/30 20:21:40 - mmengine - INFO - Epoch(train) [98][2560/3757] lr: 1.000e-04 eta: 0:39:49 time: 0.372 data_time: 0.142 memory: 6404 grad_norm: 9.2844 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9571 loss: 0.9571 2022/06/30 20:21:43 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 20:21:45 - mmengine - INFO - Epoch(train) [98][2580/3757] lr: 1.000e-04 eta: 0:39:44 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 9.3393 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1920 loss: 1.1920 2022/06/30 20:21:51 - mmengine - INFO - Epoch(train) [98][2600/3757] lr: 1.000e-04 eta: 0:39:38 time: 0.245 data_time: 0.016 memory: 6404 grad_norm: 9.4804 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7486 loss: 0.7486 2022/06/30 20:21:57 - mmengine - INFO - Epoch(train) [98][2620/3757] lr: 1.000e-04 eta: 0:39:33 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 8.9268 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9179 loss: 0.9179 2022/06/30 20:22:02 - mmengine - INFO - Epoch(train) [98][2640/3757] lr: 1.000e-04 eta: 0:39:27 time: 0.278 data_time: 0.009 memory: 6404 grad_norm: 8.8621 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8935 loss: 0.8935 2022/06/30 20:22:08 - mmengine - INFO - Epoch(train) [98][2660/3757] lr: 1.000e-04 eta: 0:39:22 time: 0.251 data_time: 0.015 memory: 6404 grad_norm: 11.1993 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0917 loss: 1.0917 2022/06/30 20:22:14 - mmengine - INFO - Epoch(train) [98][2680/3757] lr: 1.000e-04 eta: 0:39:16 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 10.4816 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8221 loss: 0.8221 2022/06/30 20:22:19 - mmengine - INFO - Epoch(train) [98][2700/3757] lr: 1.000e-04 eta: 0:39:11 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 9.2275 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0088 loss: 1.0088 2022/06/30 20:22:24 - mmengine - INFO - Epoch(train) [98][2720/3757] lr: 1.000e-04 eta: 0:39:05 time: 0.266 data_time: 0.074 memory: 6404 grad_norm: 10.9734 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0964 loss: 1.0964 2022/06/30 20:22:30 - mmengine - INFO - Epoch(train) [98][2740/3757] lr: 1.000e-04 eta: 0:39:00 time: 0.390 data_time: 0.010 memory: 6404 grad_norm: 7.3452 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9704 loss: 0.9704 2022/06/30 20:22:35 - mmengine - INFO - Epoch(train) [98][2760/3757] lr: 1.000e-04 eta: 0:38:54 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 9.1926 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9807 loss: 0.9807 2022/06/30 20:22:40 - mmengine - INFO - Epoch(train) [98][2780/3757] lr: 1.000e-04 eta: 0:38:49 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 9.5922 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8307 loss: 0.8307 2022/06/30 20:22:45 - mmengine - INFO - Epoch(train) [98][2800/3757] lr: 1.000e-04 eta: 0:38:43 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 9.5121 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8621 loss: 0.8621 2022/06/30 20:22:51 - mmengine - INFO - Epoch(train) [98][2820/3757] lr: 1.000e-04 eta: 0:38:38 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 10.8193 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9292 loss: 0.9292 2022/06/30 20:22:57 - mmengine - INFO - Epoch(train) [98][2840/3757] lr: 1.000e-04 eta: 0:38:32 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 8.6413 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0068 loss: 1.0068 2022/06/30 20:23:03 - mmengine - INFO - Epoch(train) [98][2860/3757] lr: 1.000e-04 eta: 0:38:27 time: 0.255 data_time: 0.021 memory: 6404 grad_norm: 9.3334 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0664 loss: 1.0664 2022/06/30 20:23:08 - mmengine - INFO - Epoch(train) [98][2880/3757] lr: 1.000e-04 eta: 0:38:21 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 9.3600 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2084 loss: 1.2084 2022/06/30 20:23:14 - mmengine - INFO - Epoch(train) [98][2900/3757] lr: 1.000e-04 eta: 0:38:16 time: 0.265 data_time: 0.013 memory: 6404 grad_norm: 7.6133 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8000 loss: 0.8000 2022/06/30 20:23:19 - mmengine - INFO - Epoch(train) [98][2920/3757] lr: 1.000e-04 eta: 0:38:10 time: 0.291 data_time: 0.053 memory: 6404 grad_norm: 9.2705 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9524 loss: 0.9524 2022/06/30 20:23:25 - mmengine - INFO - Epoch(train) [98][2940/3757] lr: 1.000e-04 eta: 0:38:05 time: 0.267 data_time: 0.008 memory: 6404 grad_norm: 7.6358 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1342 loss: 1.1342 2022/06/30 20:23:30 - mmengine - INFO - Epoch(train) [98][2960/3757] lr: 1.000e-04 eta: 0:37:59 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 9.8164 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7853 loss: 0.7853 2022/06/30 20:23:36 - mmengine - INFO - Epoch(train) [98][2980/3757] lr: 1.000e-04 eta: 0:37:54 time: 0.267 data_time: 0.011 memory: 6404 grad_norm: 9.3448 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0588 loss: 1.0588 2022/06/30 20:23:41 - mmengine - INFO - Epoch(train) [98][3000/3757] lr: 1.000e-04 eta: 0:37:48 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 9.9626 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8785 loss: 0.8785 2022/06/30 20:23:46 - mmengine - INFO - Epoch(train) [98][3020/3757] lr: 1.000e-04 eta: 0:37:43 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.1831 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8470 loss: 0.8470 2022/06/30 20:23:52 - mmengine - INFO - Epoch(train) [98][3040/3757] lr: 1.000e-04 eta: 0:37:37 time: 0.262 data_time: 0.021 memory: 6404 grad_norm: 9.4747 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8794 loss: 0.8794 2022/06/30 20:23:58 - mmengine - INFO - Epoch(train) [98][3060/3757] lr: 1.000e-04 eta: 0:37:32 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 8.5177 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1288 loss: 1.1288 2022/06/30 20:24:03 - mmengine - INFO - Epoch(train) [98][3080/3757] lr: 1.000e-04 eta: 0:37:26 time: 0.266 data_time: 0.010 memory: 6404 grad_norm: 7.7707 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7764 loss: 0.7764 2022/06/30 20:24:09 - mmengine - INFO - Epoch(train) [98][3100/3757] lr: 1.000e-04 eta: 0:37:21 time: 0.260 data_time: 0.022 memory: 6404 grad_norm: 9.0396 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0273 loss: 1.0273 2022/06/30 20:24:14 - mmengine - INFO - Epoch(train) [98][3120/3757] lr: 1.000e-04 eta: 0:37:15 time: 0.249 data_time: 0.016 memory: 6404 grad_norm: 9.1285 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9776 loss: 0.9776 2022/06/30 20:24:20 - mmengine - INFO - Epoch(train) [98][3140/3757] lr: 1.000e-04 eta: 0:37:10 time: 0.282 data_time: 0.087 memory: 6404 grad_norm: 8.5898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3223 loss: 1.3223 2022/06/30 20:24:26 - mmengine - INFO - Epoch(train) [98][3160/3757] lr: 1.000e-04 eta: 0:37:04 time: 0.248 data_time: 0.010 memory: 6404 grad_norm: 7.3931 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8798 loss: 0.8798 2022/06/30 20:24:31 - mmengine - INFO - Epoch(train) [98][3180/3757] lr: 1.000e-04 eta: 0:36:59 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 9.2945 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1386 loss: 1.1386 2022/06/30 20:24:36 - mmengine - INFO - Epoch(train) [98][3200/3757] lr: 1.000e-04 eta: 0:36:53 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 9.1059 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9135 loss: 0.9135 2022/06/30 20:24:41 - mmengine - INFO - Epoch(train) [98][3220/3757] lr: 1.000e-04 eta: 0:36:48 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 9.1673 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7729 loss: 0.7729 2022/06/30 20:24:47 - mmengine - INFO - Epoch(train) [98][3240/3757] lr: 1.000e-04 eta: 0:36:43 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 10.0727 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9588 loss: 0.9588 2022/06/30 20:24:52 - mmengine - INFO - Epoch(train) [98][3260/3757] lr: 1.000e-04 eta: 0:36:37 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 10.8314 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6970 loss: 0.6970 2022/06/30 20:24:57 - mmengine - INFO - Epoch(train) [98][3280/3757] lr: 1.000e-04 eta: 0:36:32 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 11.1777 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1096 loss: 1.1096 2022/06/30 20:25:03 - mmengine - INFO - Epoch(train) [98][3300/3757] lr: 1.000e-04 eta: 0:36:26 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 10.4252 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0333 loss: 1.0333 2022/06/30 20:25:09 - mmengine - INFO - Epoch(train) [98][3320/3757] lr: 1.000e-04 eta: 0:36:21 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.2879 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9136 loss: 0.9136 2022/06/30 20:25:14 - mmengine - INFO - Epoch(train) [98][3340/3757] lr: 1.000e-04 eta: 0:36:15 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 9.2609 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3418 loss: 1.3418 2022/06/30 20:25:20 - mmengine - INFO - Epoch(train) [98][3360/3757] lr: 1.000e-04 eta: 0:36:10 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 9.8917 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9966 loss: 0.9966 2022/06/30 20:25:25 - mmengine - INFO - Epoch(train) [98][3380/3757] lr: 1.000e-04 eta: 0:36:04 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 9.8493 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8093 loss: 0.8093 2022/06/30 20:25:30 - mmengine - INFO - Epoch(train) [98][3400/3757] lr: 1.000e-04 eta: 0:35:59 time: 0.267 data_time: 0.012 memory: 6404 grad_norm: 9.1772 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0036 loss: 1.0036 2022/06/30 20:25:36 - mmengine - INFO - Epoch(train) [98][3420/3757] lr: 1.000e-04 eta: 0:35:53 time: 0.251 data_time: 0.006 memory: 6404 grad_norm: 9.8909 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9059 loss: 0.9059 2022/06/30 20:25:42 - mmengine - INFO - Epoch(train) [98][3440/3757] lr: 1.000e-04 eta: 0:35:48 time: 0.258 data_time: 0.011 memory: 6404 grad_norm: 9.3533 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2500 loss: 1.2500 2022/06/30 20:25:48 - mmengine - INFO - Epoch(train) [98][3460/3757] lr: 1.000e-04 eta: 0:35:42 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 9.4823 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1540 loss: 1.1540 2022/06/30 20:25:53 - mmengine - INFO - Epoch(train) [98][3480/3757] lr: 1.000e-04 eta: 0:35:37 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 9.6668 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9163 loss: 0.9163 2022/06/30 20:25:58 - mmengine - INFO - Epoch(train) [98][3500/3757] lr: 1.000e-04 eta: 0:35:31 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 9.8655 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7370 loss: 0.7370 2022/06/30 20:26:04 - mmengine - INFO - Epoch(train) [98][3520/3757] lr: 1.000e-04 eta: 0:35:26 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 9.0511 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7956 loss: 0.7956 2022/06/30 20:26:09 - mmengine - INFO - Epoch(train) [98][3540/3757] lr: 1.000e-04 eta: 0:35:20 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 6.9193 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7223 loss: 0.7223 2022/06/30 20:26:15 - mmengine - INFO - Epoch(train) [98][3560/3757] lr: 1.000e-04 eta: 0:35:15 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 14.2049 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2711 loss: 1.2711 2022/06/30 20:26:18 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 20:26:20 - mmengine - INFO - Epoch(train) [98][3580/3757] lr: 1.000e-04 eta: 0:35:09 time: 0.604 data_time: 0.008 memory: 6404 grad_norm: 8.6631 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0598 loss: 1.0598 2022/06/30 20:26:26 - mmengine - INFO - Epoch(train) [98][3600/3757] lr: 1.000e-04 eta: 0:35:04 time: 0.271 data_time: 0.008 memory: 6404 grad_norm: 9.7312 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8713 loss: 0.8713 2022/06/30 20:26:31 - mmengine - INFO - Epoch(train) [98][3620/3757] lr: 1.000e-04 eta: 0:34:58 time: 0.252 data_time: 0.015 memory: 6404 grad_norm: 7.2046 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7723 loss: 0.7723 2022/06/30 20:26:36 - mmengine - INFO - Epoch(train) [98][3640/3757] lr: 1.000e-04 eta: 0:34:53 time: 0.268 data_time: 0.007 memory: 6404 grad_norm: 10.9074 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7649 loss: 0.7649 2022/06/30 20:26:42 - mmengine - INFO - Epoch(train) [98][3660/3757] lr: 1.000e-04 eta: 0:34:47 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 9.2446 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4743 loss: 1.4743 2022/06/30 20:26:47 - mmengine - INFO - Epoch(train) [98][3680/3757] lr: 1.000e-04 eta: 0:34:42 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 9.6247 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2293 loss: 1.2293 2022/06/30 20:26:53 - mmengine - INFO - Epoch(train) [98][3700/3757] lr: 1.000e-04 eta: 0:34:36 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 11.2624 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0891 loss: 1.0891 2022/06/30 20:26:58 - mmengine - INFO - Epoch(train) [98][3720/3757] lr: 1.000e-04 eta: 0:34:31 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 9.9225 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0096 loss: 1.0096 2022/06/30 20:27:03 - mmengine - INFO - Epoch(train) [98][3740/3757] lr: 1.000e-04 eta: 0:34:25 time: 0.254 data_time: 0.012 memory: 6404 grad_norm: 9.5776 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2436 loss: 1.2436 2022/06/30 20:27:08 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 20:27:15 - mmengine - INFO - Epoch(val) [98][20/310] eta: 0:01:30 time: 0.104 data_time: 0.016 memory: 6404 2022/06/30 20:27:21 - mmengine - INFO - Epoch(val) [98][40/310] eta: 0:01:21 time: 0.092 data_time: 0.015 memory: 1479 2022/06/30 20:27:25 - mmengine - INFO - Epoch(val) [98][60/310] eta: 0:00:23 time: 0.090 data_time: 0.008 memory: 1479 2022/06/30 20:27:31 - mmengine - INFO - Epoch(val) [98][80/310] eta: 0:01:12 time: 0.082 data_time: 0.005 memory: 1479 2022/06/30 20:27:37 - mmengine - INFO - Epoch(val) [98][100/310] eta: 0:01:01 time: 0.727 data_time: 0.644 memory: 1479 2022/06/30 20:27:41 - mmengine - INFO - Epoch(val) [98][120/310] eta: 0:00:35 time: 0.083 data_time: 0.007 memory: 1479 2022/06/30 20:27:47 - mmengine - INFO - Epoch(val) [98][140/310] eta: 0:00:53 time: 0.080 data_time: 0.005 memory: 1479 2022/06/30 20:27:53 - mmengine - INFO - Epoch(val) [98][160/310] eta: 0:00:47 time: 1.768 data_time: 1.685 memory: 1479 2022/06/30 20:27:57 - mmengine - INFO - Epoch(val) [98][180/310] eta: 0:00:34 time: 0.084 data_time: 0.006 memory: 1479 2022/06/30 20:28:03 - mmengine - INFO - Epoch(val) [98][200/310] eta: 0:00:33 time: 0.085 data_time: 0.011 memory: 1479 2022/06/30 20:28:08 - mmengine - INFO - Epoch(val) [98][220/310] eta: 0:00:26 time: 1.046 data_time: 0.962 memory: 1479 2022/06/30 20:28:12 - mmengine - INFO - Epoch(val) [98][240/310] eta: 0:00:16 time: 0.081 data_time: 0.006 memory: 1479 2022/06/30 20:28:18 - mmengine - INFO - Epoch(val) [98][260/310] eta: 0:00:15 time: 0.079 data_time: 0.006 memory: 1479 2022/06/30 20:28:24 - mmengine - INFO - Epoch(val) [98][280/310] eta: 0:00:08 time: 0.964 data_time: 0.876 memory: 1479 2022/06/30 20:28:28 - mmengine - INFO - Epoch(val) [98][300/310] eta: 0:00:02 time: 0.084 data_time: 0.008 memory: 1479 2022/06/30 20:28:30 - mmengine - INFO - Epoch(val) [98][310/310] acc/top1: 0.6763 acc/top5: 0.8714 acc/mean1: 0.6762 2022/06/30 20:28:39 - mmengine - INFO - Epoch(train) [99][20/3757] lr: 1.000e-04 eta: 0:34:15 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 9.2660 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.6358 loss: 0.6358 2022/06/30 20:28:45 - mmengine - INFO - Epoch(train) [99][40/3757] lr: 1.000e-04 eta: 0:34:10 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 10.9275 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 0.8648 loss: 0.8648 2022/06/30 20:28:51 - mmengine - INFO - Epoch(train) [99][60/3757] lr: 1.000e-04 eta: 0:34:04 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 8.8311 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1009 loss: 1.1009 2022/06/30 20:28:56 - mmengine - INFO - Epoch(train) [99][80/3757] lr: 1.000e-04 eta: 0:33:59 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 8.5526 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8178 loss: 0.8178 2022/06/30 20:29:01 - mmengine - INFO - Epoch(train) [99][100/3757] lr: 1.000e-04 eta: 0:33:53 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 9.3854 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7967 loss: 0.7967 2022/06/30 20:29:07 - mmengine - INFO - Epoch(train) [99][120/3757] lr: 1.000e-04 eta: 0:33:48 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 11.3820 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8069 loss: 0.8069 2022/06/30 20:29:12 - mmengine - INFO - Epoch(train) [99][140/3757] lr: 1.000e-04 eta: 0:33:42 time: 0.259 data_time: 0.010 memory: 6404 grad_norm: 10.1240 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1858 loss: 1.1858 2022/06/30 20:29:18 - mmengine - INFO - Epoch(train) [99][160/3757] lr: 1.000e-04 eta: 0:33:37 time: 0.249 data_time: 0.024 memory: 6404 grad_norm: 10.3041 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0315 loss: 1.0315 2022/06/30 20:29:23 - mmengine - INFO - Epoch(train) [99][180/3757] lr: 1.000e-04 eta: 0:33:31 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 6.8461 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1040 loss: 1.1040 2022/06/30 20:29:29 - mmengine - INFO - Epoch(train) [99][200/3757] lr: 1.000e-04 eta: 0:33:26 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 9.5674 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2776 loss: 1.2776 2022/06/30 20:29:35 - mmengine - INFO - Epoch(train) [99][220/3757] lr: 1.000e-04 eta: 0:33:20 time: 0.244 data_time: 0.021 memory: 6404 grad_norm: 11.1901 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8516 loss: 0.8516 2022/06/30 20:29:40 - mmengine - INFO - Epoch(train) [99][240/3757] lr: 1.000e-04 eta: 0:33:15 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 9.9603 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8438 loss: 0.8438 2022/06/30 20:29:46 - mmengine - INFO - Epoch(train) [99][260/3757] lr: 1.000e-04 eta: 0:33:09 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 7.7368 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0331 loss: 1.0331 2022/06/30 20:29:51 - mmengine - INFO - Epoch(train) [99][280/3757] lr: 1.000e-04 eta: 0:33:04 time: 0.250 data_time: 0.011 memory: 6404 grad_norm: 10.5083 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0728 loss: 1.0728 2022/06/30 20:29:57 - mmengine - INFO - Epoch(train) [99][300/3757] lr: 1.000e-04 eta: 0:32:58 time: 0.266 data_time: 0.006 memory: 6404 grad_norm: 8.8236 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1305 loss: 1.1305 2022/06/30 20:30:02 - mmengine - INFO - Epoch(train) [99][320/3757] lr: 1.000e-04 eta: 0:32:53 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 8.3994 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8493 loss: 0.8493 2022/06/30 20:30:08 - mmengine - INFO - Epoch(train) [99][340/3757] lr: 1.000e-04 eta: 0:32:47 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 10.4720 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9815 loss: 0.9815 2022/06/30 20:30:14 - mmengine - INFO - Epoch(train) [99][360/3757] lr: 1.000e-04 eta: 0:32:42 time: 0.260 data_time: 0.012 memory: 6404 grad_norm: 10.5363 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0756 loss: 1.0756 2022/06/30 20:30:19 - mmengine - INFO - Epoch(train) [99][380/3757] lr: 1.000e-04 eta: 0:32:36 time: 0.302 data_time: 0.007 memory: 6404 grad_norm: 10.8807 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9916 loss: 0.9916 2022/06/30 20:30:24 - mmengine - INFO - Epoch(train) [99][400/3757] lr: 1.000e-04 eta: 0:32:31 time: 0.255 data_time: 0.012 memory: 6404 grad_norm: 8.2493 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9216 loss: 0.9216 2022/06/30 20:30:30 - mmengine - INFO - Epoch(train) [99][420/3757] lr: 1.000e-04 eta: 0:32:25 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 10.0134 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4981 loss: 1.4981 2022/06/30 20:30:35 - mmengine - INFO - Epoch(train) [99][440/3757] lr: 1.000e-04 eta: 0:32:20 time: 0.259 data_time: 0.015 memory: 6404 grad_norm: 8.6225 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7725 loss: 0.7725 2022/06/30 20:30:41 - mmengine - INFO - Epoch(train) [99][460/3757] lr: 1.000e-04 eta: 0:32:15 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 10.6353 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0057 loss: 1.0057 2022/06/30 20:30:46 - mmengine - INFO - Epoch(train) [99][480/3757] lr: 1.000e-04 eta: 0:32:09 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 10.1285 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1551 loss: 1.1551 2022/06/30 20:30:52 - mmengine - INFO - Epoch(train) [99][500/3757] lr: 1.000e-04 eta: 0:32:04 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 10.3745 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1250 loss: 1.1250 2022/06/30 20:30:57 - mmengine - INFO - Epoch(train) [99][520/3757] lr: 1.000e-04 eta: 0:31:58 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 8.8247 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0753 loss: 1.0753 2022/06/30 20:31:02 - mmengine - INFO - Epoch(train) [99][540/3757] lr: 1.000e-04 eta: 0:31:53 time: 0.278 data_time: 0.012 memory: 6404 grad_norm: 7.9235 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9531 loss: 0.9531 2022/06/30 20:31:07 - mmengine - INFO - Epoch(train) [99][560/3757] lr: 1.000e-04 eta: 0:31:47 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 7.8922 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8110 loss: 0.8110 2022/06/30 20:31:13 - mmengine - INFO - Epoch(train) [99][580/3757] lr: 1.000e-04 eta: 0:31:42 time: 0.249 data_time: 0.011 memory: 6404 grad_norm: 9.7648 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0078 loss: 1.0078 2022/06/30 20:31:18 - mmengine - INFO - Epoch(train) [99][600/3757] lr: 1.000e-04 eta: 0:31:36 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 7.5847 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8434 loss: 0.8434 2022/06/30 20:31:24 - mmengine - INFO - Epoch(train) [99][620/3757] lr: 1.000e-04 eta: 0:31:31 time: 0.415 data_time: 0.008 memory: 6404 grad_norm: 9.6098 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0375 loss: 1.0375 2022/06/30 20:31:29 - mmengine - INFO - Epoch(train) [99][640/3757] lr: 1.000e-04 eta: 0:31:25 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 9.3130 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2381 loss: 1.2381 2022/06/30 20:31:35 - mmengine - INFO - Epoch(train) [99][660/3757] lr: 1.000e-04 eta: 0:31:20 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 10.1295 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7625 loss: 0.7625 2022/06/30 20:31:41 - mmengine - INFO - Epoch(train) [99][680/3757] lr: 1.000e-04 eta: 0:31:14 time: 0.258 data_time: 0.008 memory: 6404 grad_norm: 9.6500 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7489 loss: 0.7489 2022/06/30 20:31:46 - mmengine - INFO - Epoch(train) [99][700/3757] lr: 1.000e-04 eta: 0:31:09 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 8.2669 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8820 loss: 0.8820 2022/06/30 20:31:52 - mmengine - INFO - Epoch(train) [99][720/3757] lr: 1.000e-04 eta: 0:31:03 time: 0.258 data_time: 0.010 memory: 6404 grad_norm: 7.4543 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4650 loss: 1.4650 2022/06/30 20:31:58 - mmengine - INFO - Epoch(train) [99][740/3757] lr: 1.000e-04 eta: 0:30:58 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 9.8220 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2399 loss: 1.2399 2022/06/30 20:32:03 - mmengine - INFO - Epoch(train) [99][760/3757] lr: 1.000e-04 eta: 0:30:52 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 9.1100 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9482 loss: 0.9482 2022/06/30 20:32:08 - mmengine - INFO - Epoch(train) [99][780/3757] lr: 1.000e-04 eta: 0:30:47 time: 0.258 data_time: 0.024 memory: 6404 grad_norm: 8.8633 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8908 loss: 0.8908 2022/06/30 20:32:14 - mmengine - INFO - Epoch(train) [99][800/3757] lr: 1.000e-04 eta: 0:30:41 time: 0.267 data_time: 0.044 memory: 6404 grad_norm: 8.6639 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3337 loss: 1.3337 2022/06/30 20:32:17 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 20:32:19 - mmengine - INFO - Epoch(train) [99][820/3757] lr: 1.000e-04 eta: 0:30:36 time: 0.246 data_time: 0.016 memory: 6404 grad_norm: 9.7258 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0003 loss: 1.0003 2022/06/30 20:32:24 - mmengine - INFO - Epoch(train) [99][840/3757] lr: 1.000e-04 eta: 0:30:30 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 8.3203 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9939 loss: 0.9939 2022/06/30 20:32:29 - mmengine - INFO - Epoch(train) [99][860/3757] lr: 1.000e-04 eta: 0:30:25 time: 0.362 data_time: 0.013 memory: 6404 grad_norm: 9.6289 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0442 loss: 1.0442 2022/06/30 20:32:35 - mmengine - INFO - Epoch(train) [99][880/3757] lr: 1.000e-04 eta: 0:30:19 time: 0.266 data_time: 0.012 memory: 6404 grad_norm: 10.1431 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7605 loss: 0.7605 2022/06/30 20:32:40 - mmengine - INFO - Epoch(train) [99][900/3757] lr: 1.000e-04 eta: 0:30:14 time: 0.271 data_time: 0.014 memory: 6404 grad_norm: 10.3165 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0705 loss: 1.0705 2022/06/30 20:32:46 - mmengine - INFO - Epoch(train) [99][920/3757] lr: 1.000e-04 eta: 0:30:08 time: 0.379 data_time: 0.007 memory: 6404 grad_norm: 7.7550 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8758 loss: 0.8758 2022/06/30 20:32:52 - mmengine - INFO - Epoch(train) [99][940/3757] lr: 1.000e-04 eta: 0:30:03 time: 0.264 data_time: 0.007 memory: 6404 grad_norm: 8.4395 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8753 loss: 0.8753 2022/06/30 20:32:57 - mmengine - INFO - Epoch(train) [99][960/3757] lr: 1.000e-04 eta: 0:29:57 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 9.8467 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1745 loss: 1.1745 2022/06/30 20:33:02 - mmengine - INFO - Epoch(train) [99][980/3757] lr: 1.000e-04 eta: 0:29:52 time: 0.270 data_time: 0.009 memory: 6404 grad_norm: 9.2777 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7780 loss: 0.7780 2022/06/30 20:33:08 - mmengine - INFO - Epoch(train) [99][1000/3757] lr: 1.000e-04 eta: 0:29:46 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 10.0119 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0821 loss: 1.0821 2022/06/30 20:33:14 - mmengine - INFO - Epoch(train) [99][1020/3757] lr: 1.000e-04 eta: 0:29:41 time: 0.255 data_time: 0.015 memory: 6404 grad_norm: 10.6685 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9411 loss: 0.9411 2022/06/30 20:33:19 - mmengine - INFO - Epoch(train) [99][1040/3757] lr: 1.000e-04 eta: 0:29:35 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 8.8576 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1137 loss: 1.1137 2022/06/30 20:33:24 - mmengine - INFO - Epoch(train) [99][1060/3757] lr: 1.000e-04 eta: 0:29:30 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 8.6365 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7731 loss: 0.7731 2022/06/30 20:33:30 - mmengine - INFO - Epoch(train) [99][1080/3757] lr: 1.000e-04 eta: 0:29:24 time: 0.276 data_time: 0.009 memory: 6404 grad_norm: 10.9105 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6175 loss: 0.6175 2022/06/30 20:33:36 - mmengine - INFO - Epoch(train) [99][1100/3757] lr: 1.000e-04 eta: 0:29:19 time: 0.240 data_time: 0.012 memory: 6404 grad_norm: 8.7031 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0189 loss: 1.0189 2022/06/30 20:33:41 - mmengine - INFO - Epoch(train) [99][1120/3757] lr: 1.000e-04 eta: 0:29:13 time: 0.253 data_time: 0.012 memory: 6404 grad_norm: 9.2939 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2316 loss: 1.2316 2022/06/30 20:33:47 - mmengine - INFO - Epoch(train) [99][1140/3757] lr: 1.000e-04 eta: 0:29:08 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 8.1678 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1164 loss: 1.1164 2022/06/30 20:33:52 - mmengine - INFO - Epoch(train) [99][1160/3757] lr: 1.000e-04 eta: 0:29:02 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 9.8659 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9393 loss: 0.9393 2022/06/30 20:33:58 - mmengine - INFO - Epoch(train) [99][1180/3757] lr: 1.000e-04 eta: 0:28:57 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 8.7582 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6756 loss: 0.6756 2022/06/30 20:34:03 - mmengine - INFO - Epoch(train) [99][1200/3757] lr: 1.000e-04 eta: 0:28:51 time: 0.261 data_time: 0.008 memory: 6404 grad_norm: 10.5846 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0882 loss: 1.0882 2022/06/30 20:34:09 - mmengine - INFO - Epoch(train) [99][1220/3757] lr: 1.000e-04 eta: 0:28:46 time: 0.256 data_time: 0.010 memory: 6404 grad_norm: 8.9943 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0341 loss: 1.0341 2022/06/30 20:34:15 - mmengine - INFO - Epoch(train) [99][1240/3757] lr: 1.000e-04 eta: 0:28:41 time: 0.276 data_time: 0.010 memory: 6404 grad_norm: 10.9136 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8614 loss: 0.8614 2022/06/30 20:34:20 - mmengine - INFO - Epoch(train) [99][1260/3757] lr: 1.000e-04 eta: 0:28:35 time: 0.254 data_time: 0.008 memory: 6404 grad_norm: 9.8776 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2636 loss: 1.2636 2022/06/30 20:34:25 - mmengine - INFO - Epoch(train) [99][1280/3757] lr: 1.000e-04 eta: 0:28:30 time: 0.250 data_time: 0.009 memory: 6404 grad_norm: 11.7163 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9428 loss: 0.9428 2022/06/30 20:34:30 - mmengine - INFO - Epoch(train) [99][1300/3757] lr: 1.000e-04 eta: 0:28:24 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 11.3502 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0309 loss: 1.0309 2022/06/30 20:34:36 - mmengine - INFO - Epoch(train) [99][1320/3757] lr: 1.000e-04 eta: 0:28:19 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 9.9680 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1982 loss: 1.1982 2022/06/30 20:34:41 - mmengine - INFO - Epoch(train) [99][1340/3757] lr: 1.000e-04 eta: 0:28:13 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 7.8309 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3398 loss: 1.3398 2022/06/30 20:34:46 - mmengine - INFO - Epoch(train) [99][1360/3757] lr: 1.000e-04 eta: 0:28:08 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 10.2538 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0684 loss: 1.0684 2022/06/30 20:34:52 - mmengine - INFO - Epoch(train) [99][1380/3757] lr: 1.000e-04 eta: 0:28:02 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 9.5601 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8270 loss: 0.8270 2022/06/30 20:34:57 - mmengine - INFO - Epoch(train) [99][1400/3757] lr: 1.000e-04 eta: 0:27:57 time: 0.262 data_time: 0.012 memory: 6404 grad_norm: 8.3518 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8480 loss: 0.8480 2022/06/30 20:35:03 - mmengine - INFO - Epoch(train) [99][1420/3757] lr: 1.000e-04 eta: 0:27:51 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 8.0385 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0966 loss: 1.0966 2022/06/30 20:35:08 - mmengine - INFO - Epoch(train) [99][1440/3757] lr: 1.000e-04 eta: 0:27:46 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 9.9258 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0324 loss: 1.0324 2022/06/30 20:35:14 - mmengine - INFO - Epoch(train) [99][1460/3757] lr: 1.000e-04 eta: 0:27:40 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 8.2084 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8973 loss: 0.8973 2022/06/30 20:35:19 - mmengine - INFO - Epoch(train) [99][1480/3757] lr: 1.000e-04 eta: 0:27:35 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 7.7549 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9417 loss: 0.9417 2022/06/30 20:35:25 - mmengine - INFO - Epoch(train) [99][1500/3757] lr: 1.000e-04 eta: 0:27:29 time: 0.263 data_time: 0.009 memory: 6404 grad_norm: 7.5037 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0500 loss: 1.0500 2022/06/30 20:35:31 - mmengine - INFO - Epoch(train) [99][1520/3757] lr: 1.000e-04 eta: 0:27:24 time: 0.327 data_time: 0.017 memory: 6404 grad_norm: 8.0924 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7678 loss: 0.7678 2022/06/30 20:35:37 - mmengine - INFO - Epoch(train) [99][1540/3757] lr: 1.000e-04 eta: 0:27:18 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 8.9764 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8406 loss: 0.8406 2022/06/30 20:35:42 - mmengine - INFO - Epoch(train) [99][1560/3757] lr: 1.000e-04 eta: 0:27:13 time: 0.243 data_time: 0.012 memory: 6404 grad_norm: 8.9425 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3058 loss: 1.3058 2022/06/30 20:35:48 - mmengine - INFO - Epoch(train) [99][1580/3757] lr: 1.000e-04 eta: 0:27:07 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 8.0399 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9541 loss: 0.9541 2022/06/30 20:35:54 - mmengine - INFO - Epoch(train) [99][1600/3757] lr: 1.000e-04 eta: 0:27:02 time: 0.249 data_time: 0.008 memory: 6404 grad_norm: 10.1124 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8672 loss: 0.8672 2022/06/30 20:35:59 - mmengine - INFO - Epoch(train) [99][1620/3757] lr: 1.000e-04 eta: 0:26:56 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 8.7842 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1465 loss: 1.1465 2022/06/30 20:36:05 - mmengine - INFO - Epoch(train) [99][1640/3757] lr: 1.000e-04 eta: 0:26:51 time: 0.273 data_time: 0.012 memory: 6404 grad_norm: 8.5349 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0339 loss: 1.0339 2022/06/30 20:36:10 - mmengine - INFO - Epoch(train) [99][1660/3757] lr: 1.000e-04 eta: 0:26:45 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 8.9778 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8868 loss: 0.8868 2022/06/30 20:36:16 - mmengine - INFO - Epoch(train) [99][1680/3757] lr: 1.000e-04 eta: 0:26:40 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 8.7611 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0823 loss: 1.0823 2022/06/30 20:36:22 - mmengine - INFO - Epoch(train) [99][1700/3757] lr: 1.000e-04 eta: 0:26:34 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 9.1659 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9650 loss: 0.9650 2022/06/30 20:36:27 - mmengine - INFO - Epoch(train) [99][1720/3757] lr: 1.000e-04 eta: 0:26:29 time: 0.271 data_time: 0.012 memory: 6404 grad_norm: 7.9752 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0980 loss: 1.0980 2022/06/30 20:36:33 - mmengine - INFO - Epoch(train) [99][1740/3757] lr: 1.000e-04 eta: 0:26:23 time: 0.253 data_time: 0.014 memory: 6404 grad_norm: 9.4744 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9532 loss: 0.9532 2022/06/30 20:36:38 - mmengine - INFO - Epoch(train) [99][1760/3757] lr: 1.000e-04 eta: 0:26:18 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 10.0894 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0158 loss: 1.0158 2022/06/30 20:36:43 - mmengine - INFO - Epoch(train) [99][1780/3757] lr: 1.000e-04 eta: 0:26:12 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 8.6567 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8730 loss: 0.8730 2022/06/30 20:36:49 - mmengine - INFO - Epoch(train) [99][1800/3757] lr: 1.000e-04 eta: 0:26:07 time: 0.257 data_time: 0.006 memory: 6404 grad_norm: 10.0520 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9811 loss: 0.9811 2022/06/30 20:36:53 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 20:36:54 - mmengine - INFO - Epoch(train) [99][1820/3757] lr: 1.000e-04 eta: 0:26:01 time: 0.262 data_time: 0.015 memory: 6404 grad_norm: 8.9252 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8811 loss: 0.8811 2022/06/30 20:36:59 - mmengine - INFO - Epoch(train) [99][1840/3757] lr: 1.000e-04 eta: 0:25:56 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 9.6391 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0690 loss: 1.0690 2022/06/30 20:37:05 - mmengine - INFO - Epoch(train) [99][1860/3757] lr: 1.000e-04 eta: 0:25:50 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 8.5985 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8998 loss: 0.8998 2022/06/30 20:37:10 - mmengine - INFO - Epoch(train) [99][1880/3757] lr: 1.000e-04 eta: 0:25:45 time: 0.254 data_time: 0.019 memory: 6404 grad_norm: 10.8033 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8337 loss: 0.8337 2022/06/30 20:37:16 - mmengine - INFO - Epoch(train) [99][1900/3757] lr: 1.000e-04 eta: 0:25:39 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 9.7287 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1647 loss: 1.1647 2022/06/30 20:37:21 - mmengine - INFO - Epoch(train) [99][1920/3757] lr: 1.000e-04 eta: 0:25:34 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 8.6204 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7301 loss: 0.7301 2022/06/30 20:37:27 - mmengine - INFO - Epoch(train) [99][1940/3757] lr: 1.000e-04 eta: 0:25:28 time: 0.258 data_time: 0.015 memory: 6404 grad_norm: 9.6206 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7937 loss: 0.7937 2022/06/30 20:37:33 - mmengine - INFO - Epoch(train) [99][1960/3757] lr: 1.000e-04 eta: 0:25:23 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.5702 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9293 loss: 0.9293 2022/06/30 20:37:38 - mmengine - INFO - Epoch(train) [99][1980/3757] lr: 1.000e-04 eta: 0:25:18 time: 0.246 data_time: 0.007 memory: 6404 grad_norm: 8.9619 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7613 loss: 0.7613 2022/06/30 20:37:43 - mmengine - INFO - Epoch(train) [99][2000/3757] lr: 1.000e-04 eta: 0:25:12 time: 0.260 data_time: 0.026 memory: 6404 grad_norm: 8.8855 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8540 loss: 0.8540 2022/06/30 20:37:48 - mmengine - INFO - Epoch(train) [99][2020/3757] lr: 1.000e-04 eta: 0:25:07 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 9.2051 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1275 loss: 1.1275 2022/06/30 20:37:54 - mmengine - INFO - Epoch(train) [99][2040/3757] lr: 1.000e-04 eta: 0:25:01 time: 0.280 data_time: 0.007 memory: 6404 grad_norm: 9.2193 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0106 loss: 1.0106 2022/06/30 20:38:00 - mmengine - INFO - Epoch(train) [99][2060/3757] lr: 1.000e-04 eta: 0:24:56 time: 0.245 data_time: 0.051 memory: 6404 grad_norm: 9.2716 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7062 loss: 0.7062 2022/06/30 20:38:05 - mmengine - INFO - Epoch(train) [99][2080/3757] lr: 1.000e-04 eta: 0:24:50 time: 0.278 data_time: 0.008 memory: 6404 grad_norm: 7.8894 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5772 loss: 0.5772 2022/06/30 20:38:10 - mmengine - INFO - Epoch(train) [99][2100/3757] lr: 1.000e-04 eta: 0:24:45 time: 0.253 data_time: 0.017 memory: 6404 grad_norm: 9.0583 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1131 loss: 1.1131 2022/06/30 20:38:16 - mmengine - INFO - Epoch(train) [99][2120/3757] lr: 1.000e-04 eta: 0:24:39 time: 0.254 data_time: 0.020 memory: 6404 grad_norm: 11.2030 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8743 loss: 0.8743 2022/06/30 20:38:22 - mmengine - INFO - Epoch(train) [99][2140/3757] lr: 1.000e-04 eta: 0:24:34 time: 0.271 data_time: 0.020 memory: 6404 grad_norm: 9.6658 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7317 loss: 0.7317 2022/06/30 20:38:27 - mmengine - INFO - Epoch(train) [99][2160/3757] lr: 1.000e-04 eta: 0:24:28 time: 0.259 data_time: 0.017 memory: 6404 grad_norm: 9.0127 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2171 loss: 1.2171 2022/06/30 20:38:33 - mmengine - INFO - Epoch(train) [99][2180/3757] lr: 1.000e-04 eta: 0:24:23 time: 0.252 data_time: 0.053 memory: 6404 grad_norm: 9.4541 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0793 loss: 1.0793 2022/06/30 20:38:39 - mmengine - INFO - Epoch(train) [99][2200/3757] lr: 1.000e-04 eta: 0:24:17 time: 0.275 data_time: 0.018 memory: 6404 grad_norm: 9.8303 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8674 loss: 0.8674 2022/06/30 20:38:44 - mmengine - INFO - Epoch(train) [99][2220/3757] lr: 1.000e-04 eta: 0:24:12 time: 0.250 data_time: 0.008 memory: 6404 grad_norm: 8.5813 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7291 loss: 0.7291 2022/06/30 20:38:49 - mmengine - INFO - Epoch(train) [99][2240/3757] lr: 1.000e-04 eta: 0:24:06 time: 0.257 data_time: 0.022 memory: 6404 grad_norm: 9.8116 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7885 loss: 0.7885 2022/06/30 20:38:56 - mmengine - INFO - Epoch(train) [99][2260/3757] lr: 1.000e-04 eta: 0:24:01 time: 0.264 data_time: 0.024 memory: 6404 grad_norm: 8.8891 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9398 loss: 0.9398 2022/06/30 20:39:01 - mmengine - INFO - Epoch(train) [99][2280/3757] lr: 1.000e-04 eta: 0:23:55 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 9.0862 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0750 loss: 1.0750 2022/06/30 20:39:07 - mmengine - INFO - Epoch(train) [99][2300/3757] lr: 1.000e-04 eta: 0:23:50 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 9.1466 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8145 loss: 0.8145 2022/06/30 20:39:12 - mmengine - INFO - Epoch(train) [99][2320/3757] lr: 1.000e-04 eta: 0:23:44 time: 0.251 data_time: 0.016 memory: 6404 grad_norm: 7.7692 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0378 loss: 1.0378 2022/06/30 20:39:18 - mmengine - INFO - Epoch(train) [99][2340/3757] lr: 1.000e-04 eta: 0:23:39 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 10.7452 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1190 loss: 1.1190 2022/06/30 20:39:23 - mmengine - INFO - Epoch(train) [99][2360/3757] lr: 1.000e-04 eta: 0:23:33 time: 0.264 data_time: 0.015 memory: 6404 grad_norm: 9.2917 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1380 loss: 1.1380 2022/06/30 20:39:28 - mmengine - INFO - Epoch(train) [99][2380/3757] lr: 1.000e-04 eta: 0:23:28 time: 0.257 data_time: 0.008 memory: 6404 grad_norm: 11.2019 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3280 loss: 1.3280 2022/06/30 20:39:33 - mmengine - INFO - Epoch(train) [99][2400/3757] lr: 1.000e-04 eta: 0:23:22 time: 0.263 data_time: 0.009 memory: 6404 grad_norm: 10.2614 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9588 loss: 0.9588 2022/06/30 20:39:38 - mmengine - INFO - Epoch(train) [99][2420/3757] lr: 1.000e-04 eta: 0:23:17 time: 0.256 data_time: 0.017 memory: 6404 grad_norm: 8.0787 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0012 loss: 1.0012 2022/06/30 20:39:44 - mmengine - INFO - Epoch(train) [99][2440/3757] lr: 1.000e-04 eta: 0:23:11 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 9.6472 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9504 loss: 0.9504 2022/06/30 20:39:49 - mmengine - INFO - Epoch(train) [99][2460/3757] lr: 1.000e-04 eta: 0:23:06 time: 0.251 data_time: 0.009 memory: 6404 grad_norm: 8.0714 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0842 loss: 1.0842 2022/06/30 20:39:55 - mmengine - INFO - Epoch(train) [99][2480/3757] lr: 1.000e-04 eta: 0:23:00 time: 0.256 data_time: 0.020 memory: 6404 grad_norm: 9.6892 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9708 loss: 0.9708 2022/06/30 20:40:00 - mmengine - INFO - Epoch(train) [99][2500/3757] lr: 1.000e-04 eta: 0:22:55 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 11.5149 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8867 loss: 0.8867 2022/06/30 20:40:06 - mmengine - INFO - Epoch(train) [99][2520/3757] lr: 1.000e-04 eta: 0:22:49 time: 0.252 data_time: 0.013 memory: 6404 grad_norm: 9.8289 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2225 loss: 1.2225 2022/06/30 20:40:12 - mmengine - INFO - Epoch(train) [99][2540/3757] lr: 1.000e-04 eta: 0:22:44 time: 0.262 data_time: 0.012 memory: 6404 grad_norm: 8.6763 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0341 loss: 1.0341 2022/06/30 20:40:17 - mmengine - INFO - Epoch(train) [99][2560/3757] lr: 1.000e-04 eta: 0:22:38 time: 0.262 data_time: 0.008 memory: 6404 grad_norm: 11.4108 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2410 loss: 1.2410 2022/06/30 20:40:23 - mmengine - INFO - Epoch(train) [99][2580/3757] lr: 1.000e-04 eta: 0:22:33 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 9.0303 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1855 loss: 1.1855 2022/06/30 20:40:28 - mmengine - INFO - Epoch(train) [99][2600/3757] lr: 1.000e-04 eta: 0:22:27 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 9.6851 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0674 loss: 1.0674 2022/06/30 20:40:34 - mmengine - INFO - Epoch(train) [99][2620/3757] lr: 1.000e-04 eta: 0:22:22 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 6.8117 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9641 loss: 0.9641 2022/06/30 20:40:40 - mmengine - INFO - Epoch(train) [99][2640/3757] lr: 1.000e-04 eta: 0:22:16 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 6.9352 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2143 loss: 1.2143 2022/06/30 20:40:45 - mmengine - INFO - Epoch(train) [99][2660/3757] lr: 1.000e-04 eta: 0:22:11 time: 0.260 data_time: 0.016 memory: 6404 grad_norm: 8.5270 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8536 loss: 0.8536 2022/06/30 20:40:50 - mmengine - INFO - Epoch(train) [99][2680/3757] lr: 1.000e-04 eta: 0:22:06 time: 0.255 data_time: 0.009 memory: 6404 grad_norm: 8.6774 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7577 loss: 0.7577 2022/06/30 20:40:55 - mmengine - INFO - Epoch(train) [99][2700/3757] lr: 1.000e-04 eta: 0:22:00 time: 0.253 data_time: 0.017 memory: 6404 grad_norm: 8.2396 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0694 loss: 1.0694 2022/06/30 20:41:01 - mmengine - INFO - Epoch(train) [99][2720/3757] lr: 1.000e-04 eta: 0:21:55 time: 0.259 data_time: 0.014 memory: 6404 grad_norm: 7.7952 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9829 loss: 0.9829 2022/06/30 20:41:07 - mmengine - INFO - Epoch(train) [99][2740/3757] lr: 1.000e-04 eta: 0:21:49 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 8.7891 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9253 loss: 0.9253 2022/06/30 20:41:12 - mmengine - INFO - Epoch(train) [99][2760/3757] lr: 1.000e-04 eta: 0:21:44 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 9.8581 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9228 loss: 0.9228 2022/06/30 20:41:18 - mmengine - INFO - Epoch(train) [99][2780/3757] lr: 1.000e-04 eta: 0:21:38 time: 0.254 data_time: 0.013 memory: 6404 grad_norm: 10.4017 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2159 loss: 1.2159 2022/06/30 20:41:23 - mmengine - INFO - Epoch(train) [99][2800/3757] lr: 1.000e-04 eta: 0:21:33 time: 0.253 data_time: 0.010 memory: 6404 grad_norm: 11.0056 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3789 loss: 1.3789 2022/06/30 20:41:27 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 20:41:29 - mmengine - INFO - Epoch(train) [99][2820/3757] lr: 1.000e-04 eta: 0:21:27 time: 0.261 data_time: 0.017 memory: 6404 grad_norm: 6.4433 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2029 loss: 1.2029 2022/06/30 20:41:35 - mmengine - INFO - Epoch(train) [99][2840/3757] lr: 1.000e-04 eta: 0:21:22 time: 0.257 data_time: 0.016 memory: 6404 grad_norm: 9.8751 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6854 loss: 0.6854 2022/06/30 20:41:40 - mmengine - INFO - Epoch(train) [99][2860/3757] lr: 1.000e-04 eta: 0:21:16 time: 0.248 data_time: 0.007 memory: 6404 grad_norm: 8.1538 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0820 loss: 1.0820 2022/06/30 20:41:46 - mmengine - INFO - Epoch(train) [99][2880/3757] lr: 1.000e-04 eta: 0:21:11 time: 0.245 data_time: 0.027 memory: 6404 grad_norm: 8.9500 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0440 loss: 1.0440 2022/06/30 20:41:51 - mmengine - INFO - Epoch(train) [99][2900/3757] lr: 1.000e-04 eta: 0:21:05 time: 0.245 data_time: 0.019 memory: 6404 grad_norm: 9.6171 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8878 loss: 0.8878 2022/06/30 20:41:56 - mmengine - INFO - Epoch(train) [99][2920/3757] lr: 1.000e-04 eta: 0:21:00 time: 0.272 data_time: 0.011 memory: 6404 grad_norm: 8.9630 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8766 loss: 0.8766 2022/06/30 20:42:02 - mmengine - INFO - Epoch(train) [99][2940/3757] lr: 1.000e-04 eta: 0:20:54 time: 0.264 data_time: 0.032 memory: 6404 grad_norm: 8.7987 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7867 loss: 0.7867 2022/06/30 20:42:07 - mmengine - INFO - Epoch(train) [99][2960/3757] lr: 1.000e-04 eta: 0:20:49 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 8.4174 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.7247 loss: 0.7247 2022/06/30 20:42:13 - mmengine - INFO - Epoch(train) [99][2980/3757] lr: 1.000e-04 eta: 0:20:43 time: 0.246 data_time: 0.008 memory: 6404 grad_norm: 11.1346 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2287 loss: 1.2287 2022/06/30 20:42:18 - mmengine - INFO - Epoch(train) [99][3000/3757] lr: 1.000e-04 eta: 0:20:38 time: 0.256 data_time: 0.020 memory: 6404 grad_norm: 7.3880 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1801 loss: 1.1801 2022/06/30 20:42:24 - mmengine - INFO - Epoch(train) [99][3020/3757] lr: 1.000e-04 eta: 0:20:32 time: 0.240 data_time: 0.025 memory: 6404 grad_norm: 9.9504 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9703 loss: 0.9703 2022/06/30 20:42:29 - mmengine - INFO - Epoch(train) [99][3040/3757] lr: 1.000e-04 eta: 0:20:27 time: 0.257 data_time: 0.014 memory: 6404 grad_norm: 9.3571 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4491 loss: 1.4491 2022/06/30 20:42:35 - mmengine - INFO - Epoch(train) [99][3060/3757] lr: 1.000e-04 eta: 0:20:21 time: 0.256 data_time: 0.012 memory: 6404 grad_norm: 7.0545 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1908 loss: 1.1908 2022/06/30 20:42:40 - mmengine - INFO - Epoch(train) [99][3080/3757] lr: 1.000e-04 eta: 0:20:16 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 8.0956 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0486 loss: 1.0486 2022/06/30 20:42:46 - mmengine - INFO - Epoch(train) [99][3100/3757] lr: 1.000e-04 eta: 0:20:10 time: 0.250 data_time: 0.007 memory: 6404 grad_norm: 8.8740 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8387 loss: 0.8387 2022/06/30 20:42:51 - mmengine - INFO - Epoch(train) [99][3120/3757] lr: 1.000e-04 eta: 0:20:05 time: 0.299 data_time: 0.012 memory: 6404 grad_norm: 10.5858 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7989 loss: 0.7989 2022/06/30 20:42:57 - mmengine - INFO - Epoch(train) [99][3140/3757] lr: 1.000e-04 eta: 0:19:59 time: 0.255 data_time: 0.014 memory: 6404 grad_norm: 8.7483 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7624 loss: 0.7624 2022/06/30 20:43:03 - mmengine - INFO - Epoch(train) [99][3160/3757] lr: 1.000e-04 eta: 0:19:54 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 7.4255 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9618 loss: 0.9618 2022/06/30 20:43:08 - mmengine - INFO - Epoch(train) [99][3180/3757] lr: 1.000e-04 eta: 0:19:48 time: 0.261 data_time: 0.009 memory: 6404 grad_norm: 10.4279 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3603 loss: 1.3603 2022/06/30 20:43:14 - mmengine - INFO - Epoch(train) [99][3200/3757] lr: 1.000e-04 eta: 0:19:43 time: 0.265 data_time: 0.009 memory: 6404 grad_norm: 9.5407 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3167 loss: 1.3167 2022/06/30 20:43:19 - mmengine - INFO - Epoch(train) [99][3220/3757] lr: 1.000e-04 eta: 0:19:37 time: 0.252 data_time: 0.017 memory: 6404 grad_norm: 8.1214 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8712 loss: 0.8712 2022/06/30 20:43:25 - mmengine - INFO - Epoch(train) [99][3240/3757] lr: 1.000e-04 eta: 0:19:32 time: 0.246 data_time: 0.010 memory: 6404 grad_norm: 7.1080 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0091 loss: 1.0091 2022/06/30 20:43:30 - mmengine - INFO - Epoch(train) [99][3260/3757] lr: 1.000e-04 eta: 0:19:26 time: 0.257 data_time: 0.009 memory: 6404 grad_norm: 7.2506 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7909 loss: 0.7909 2022/06/30 20:43:35 - mmengine - INFO - Epoch(train) [99][3280/3757] lr: 1.000e-04 eta: 0:19:21 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 7.8482 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0780 loss: 1.0780 2022/06/30 20:43:41 - mmengine - INFO - Epoch(train) [99][3300/3757] lr: 1.000e-04 eta: 0:19:15 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 9.5171 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0907 loss: 1.0907 2022/06/30 20:43:47 - mmengine - INFO - Epoch(train) [99][3320/3757] lr: 1.000e-04 eta: 0:19:10 time: 0.248 data_time: 0.026 memory: 6404 grad_norm: 8.4463 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0186 loss: 1.0186 2022/06/30 20:43:52 - mmengine - INFO - Epoch(train) [99][3340/3757] lr: 1.000e-04 eta: 0:19:04 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.7364 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8122 loss: 0.8122 2022/06/30 20:43:57 - mmengine - INFO - Epoch(train) [99][3360/3757] lr: 1.000e-04 eta: 0:18:59 time: 0.261 data_time: 0.011 memory: 6404 grad_norm: 10.8009 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7601 loss: 0.7601 2022/06/30 20:44:03 - mmengine - INFO - Epoch(train) [99][3380/3757] lr: 1.000e-04 eta: 0:18:53 time: 0.252 data_time: 0.024 memory: 6404 grad_norm: 7.2481 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8477 loss: 0.8477 2022/06/30 20:44:08 - mmengine - INFO - Epoch(train) [99][3400/3757] lr: 1.000e-04 eta: 0:18:48 time: 0.261 data_time: 0.010 memory: 6404 grad_norm: 9.5427 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9897 loss: 0.9897 2022/06/30 20:44:14 - mmengine - INFO - Epoch(train) [99][3420/3757] lr: 1.000e-04 eta: 0:18:43 time: 0.260 data_time: 0.009 memory: 6404 grad_norm: 8.9791 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9409 loss: 0.9409 2022/06/30 20:44:19 - mmengine - INFO - Epoch(train) [99][3440/3757] lr: 1.000e-04 eta: 0:18:37 time: 0.255 data_time: 0.056 memory: 6404 grad_norm: 8.1060 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1354 loss: 1.1354 2022/06/30 20:44:24 - mmengine - INFO - Epoch(train) [99][3460/3757] lr: 1.000e-04 eta: 0:18:32 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 8.4674 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7018 loss: 0.7018 2022/06/30 20:44:30 - mmengine - INFO - Epoch(train) [99][3480/3757] lr: 1.000e-04 eta: 0:18:26 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 9.7937 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8931 loss: 0.8931 2022/06/30 20:44:35 - mmengine - INFO - Epoch(train) [99][3500/3757] lr: 1.000e-04 eta: 0:18:21 time: 0.255 data_time: 0.067 memory: 6404 grad_norm: 9.6761 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8913 loss: 0.8913 2022/06/30 20:44:41 - mmengine - INFO - Epoch(train) [99][3520/3757] lr: 1.000e-04 eta: 0:18:15 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 9.3181 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8008 loss: 0.8008 2022/06/30 20:44:46 - mmengine - INFO - Epoch(train) [99][3540/3757] lr: 1.000e-04 eta: 0:18:10 time: 0.262 data_time: 0.013 memory: 6404 grad_norm: 9.6155 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8438 loss: 0.8438 2022/06/30 20:44:52 - mmengine - INFO - Epoch(train) [99][3560/3757] lr: 1.000e-04 eta: 0:18:04 time: 0.380 data_time: 0.084 memory: 6404 grad_norm: 8.9084 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8842 loss: 0.8842 2022/06/30 20:44:57 - mmengine - INFO - Epoch(train) [99][3580/3757] lr: 1.000e-04 eta: 0:17:59 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 9.2525 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8435 loss: 0.8435 2022/06/30 20:45:02 - mmengine - INFO - Epoch(train) [99][3600/3757] lr: 1.000e-04 eta: 0:17:53 time: 0.252 data_time: 0.014 memory: 6404 grad_norm: 8.6147 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7779 loss: 0.7779 2022/06/30 20:45:08 - mmengine - INFO - Epoch(train) [99][3620/3757] lr: 1.000e-04 eta: 0:17:48 time: 0.253 data_time: 0.017 memory: 6404 grad_norm: 9.8992 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9049 loss: 0.9049 2022/06/30 20:45:14 - mmengine - INFO - Epoch(train) [99][3640/3757] lr: 1.000e-04 eta: 0:17:42 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 7.7582 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8542 loss: 0.8542 2022/06/30 20:45:19 - mmengine - INFO - Epoch(train) [99][3660/3757] lr: 1.000e-04 eta: 0:17:37 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 8.4934 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1223 loss: 1.1223 2022/06/30 20:45:25 - mmengine - INFO - Epoch(train) [99][3680/3757] lr: 1.000e-04 eta: 0:17:31 time: 0.320 data_time: 0.039 memory: 6404 grad_norm: 10.4674 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9633 loss: 0.9633 2022/06/30 20:45:30 - mmengine - INFO - Epoch(train) [99][3700/3757] lr: 1.000e-04 eta: 0:17:26 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 11.1005 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8853 loss: 0.8853 2022/06/30 20:45:35 - mmengine - INFO - Epoch(train) [99][3720/3757] lr: 1.000e-04 eta: 0:17:20 time: 0.247 data_time: 0.009 memory: 6404 grad_norm: 9.2782 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8931 loss: 0.8931 2022/06/30 20:45:40 - mmengine - INFO - Epoch(train) [99][3740/3757] lr: 1.000e-04 eta: 0:17:15 time: 0.250 data_time: 0.023 memory: 6404 grad_norm: 6.9197 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8394 loss: 0.8394 2022/06/30 20:45:45 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 20:45:52 - mmengine - INFO - Epoch(val) [99][20/310] eta: 0:01:28 time: 0.105 data_time: 0.009 memory: 6404 2022/06/30 20:45:58 - mmengine - INFO - Epoch(val) [99][40/310] eta: 0:01:17 time: 0.084 data_time: 0.007 memory: 1479 2022/06/30 20:46:01 - mmengine - INFO - Epoch(val) [99][60/310] eta: 0:00:24 time: 0.100 data_time: 0.009 memory: 1479 2022/06/30 20:46:08 - mmengine - INFO - Epoch(val) [99][80/310] eta: 0:01:14 time: 0.429 data_time: 0.346 memory: 1479 2022/06/30 20:46:14 - mmengine - INFO - Epoch(val) [99][100/310] eta: 0:01:02 time: 0.753 data_time: 0.678 memory: 1479 2022/06/30 20:46:17 - mmengine - INFO - Epoch(val) [99][120/310] eta: 0:00:32 time: 0.085 data_time: 0.005 memory: 1479 2022/06/30 20:46:24 - mmengine - INFO - Epoch(val) [99][140/310] eta: 0:00:57 time: 0.086 data_time: 0.010 memory: 1479 2022/06/30 20:46:30 - mmengine - INFO - Epoch(val) [99][160/310] eta: 0:00:47 time: 1.289 data_time: 1.203 memory: 1479 2022/06/30 20:46:34 - mmengine - INFO - Epoch(val) [99][180/310] eta: 0:00:35 time: 0.083 data_time: 0.007 memory: 1479 2022/06/30 20:46:40 - mmengine - INFO - Epoch(val) [99][200/310] eta: 0:00:33 time: 0.081 data_time: 0.007 memory: 1479 2022/06/30 20:46:46 - mmengine - INFO - Epoch(val) [99][220/310] eta: 0:00:30 time: 0.093 data_time: 0.008 memory: 1479 2022/06/30 20:46:50 - mmengine - INFO - Epoch(val) [99][240/310] eta: 0:00:21 time: 0.081 data_time: 0.005 memory: 1479 2022/06/30 20:46:56 - mmengine - INFO - Epoch(val) [99][260/310] eta: 0:00:15 time: 0.081 data_time: 0.005 memory: 1479 2022/06/30 20:47:02 - mmengine - INFO - Epoch(val) [99][280/310] eta: 0:00:10 time: 0.096 data_time: 0.007 memory: 1479 2022/06/30 20:47:05 - mmengine - INFO - Epoch(val) [99][300/310] eta: 0:00:02 time: 0.094 data_time: 0.010 memory: 1479 2022/06/30 20:47:08 - mmengine - INFO - Epoch(val) [99][310/310] acc/top1: 0.6749 acc/top5: 0.8706 acc/mean1: 0.6748 2022/06/30 20:47:17 - mmengine - INFO - Epoch(train) [100][20/3757] lr: 1.000e-04 eta: 0:17:05 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 9.8952 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7992 loss: 0.7992 2022/06/30 20:47:23 - mmengine - INFO - Epoch(train) [100][40/3757] lr: 1.000e-04 eta: 0:16:59 time: 0.251 data_time: 0.007 memory: 6404 grad_norm: 9.0617 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7138 loss: 0.7138 2022/06/30 20:47:28 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 20:47:28 - mmengine - INFO - Epoch(train) [100][60/3757] lr: 1.000e-04 eta: 0:16:54 time: 0.285 data_time: 0.009 memory: 6404 grad_norm: 9.7622 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8726 loss: 0.8726 2022/06/30 20:47:34 - mmengine - INFO - Epoch(train) [100][80/3757] lr: 1.000e-04 eta: 0:16:48 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 9.1608 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8347 loss: 0.8347 2022/06/30 20:47:40 - mmengine - INFO - Epoch(train) [100][100/3757] lr: 1.000e-04 eta: 0:16:43 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 9.1619 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8691 loss: 0.8691 2022/06/30 20:47:45 - mmengine - INFO - Epoch(train) [100][120/3757] lr: 1.000e-04 eta: 0:16:37 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 9.1147 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0559 loss: 1.0559 2022/06/30 20:47:50 - mmengine - INFO - Epoch(train) [100][140/3757] lr: 1.000e-04 eta: 0:16:32 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 10.7598 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2951 loss: 1.2951 2022/06/30 20:47:56 - mmengine - INFO - Epoch(train) [100][160/3757] lr: 1.000e-04 eta: 0:16:26 time: 0.271 data_time: 0.008 memory: 6404 grad_norm: 8.6440 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1638 loss: 1.1638 2022/06/30 20:48:01 - mmengine - INFO - Epoch(train) [100][180/3757] lr: 1.000e-04 eta: 0:16:21 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 10.5772 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0688 loss: 1.0688 2022/06/30 20:48:07 - mmengine - INFO - Epoch(train) [100][200/3757] lr: 1.000e-04 eta: 0:16:15 time: 0.260 data_time: 0.010 memory: 6404 grad_norm: 10.3113 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7904 loss: 0.7904 2022/06/30 20:48:13 - mmengine - INFO - Epoch(train) [100][220/3757] lr: 1.000e-04 eta: 0:16:10 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 9.2749 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1193 loss: 1.1193 2022/06/30 20:48:18 - mmengine - INFO - Epoch(train) [100][240/3757] lr: 1.000e-04 eta: 0:16:04 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 9.3282 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8457 loss: 0.8457 2022/06/30 20:48:24 - mmengine - INFO - Epoch(train) [100][260/3757] lr: 1.000e-04 eta: 0:15:59 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.3144 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9025 loss: 0.9025 2022/06/30 20:48:29 - mmengine - INFO - Epoch(train) [100][280/3757] lr: 1.000e-04 eta: 0:15:53 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 9.2397 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2360 loss: 1.2360 2022/06/30 20:48:34 - mmengine - INFO - Epoch(train) [100][300/3757] lr: 1.000e-04 eta: 0:15:48 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 9.0706 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0660 loss: 1.0660 2022/06/30 20:48:39 - mmengine - INFO - Epoch(train) [100][320/3757] lr: 1.000e-04 eta: 0:15:42 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 7.6365 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9915 loss: 0.9915 2022/06/30 20:48:45 - mmengine - INFO - Epoch(train) [100][340/3757] lr: 1.000e-04 eta: 0:15:37 time: 0.264 data_time: 0.008 memory: 6404 grad_norm: 9.2343 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9631 loss: 0.9631 2022/06/30 20:48:50 - mmengine - INFO - Epoch(train) [100][360/3757] lr: 1.000e-04 eta: 0:15:31 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 8.1689 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9039 loss: 0.9039 2022/06/30 20:48:55 - mmengine - INFO - Epoch(train) [100][380/3757] lr: 1.000e-04 eta: 0:15:26 time: 0.254 data_time: 0.007 memory: 6404 grad_norm: 9.4744 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0355 loss: 1.0355 2022/06/30 20:49:00 - mmengine - INFO - Epoch(train) [100][400/3757] lr: 1.000e-04 eta: 0:15:20 time: 0.262 data_time: 0.011 memory: 6404 grad_norm: 9.0799 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0035 loss: 1.0035 2022/06/30 20:49:06 - mmengine - INFO - Epoch(train) [100][420/3757] lr: 1.000e-04 eta: 0:15:15 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 8.9764 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8570 loss: 0.8570 2022/06/30 20:49:11 - mmengine - INFO - Epoch(train) [100][440/3757] lr: 1.000e-04 eta: 0:15:09 time: 0.260 data_time: 0.009 memory: 6404 grad_norm: 9.7231 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8549 loss: 0.8549 2022/06/30 20:49:17 - mmengine - INFO - Epoch(train) [100][460/3757] lr: 1.000e-04 eta: 0:15:04 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 7.8477 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7424 loss: 0.7424 2022/06/30 20:49:23 - mmengine - INFO - Epoch(train) [100][480/3757] lr: 1.000e-04 eta: 0:14:58 time: 0.605 data_time: 0.021 memory: 6404 grad_norm: 10.4104 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6793 loss: 0.6793 2022/06/30 20:49:28 - mmengine - INFO - Epoch(train) [100][500/3757] lr: 1.000e-04 eta: 0:14:53 time: 0.268 data_time: 0.008 memory: 6404 grad_norm: 9.2122 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1329 loss: 1.1329 2022/06/30 20:49:33 - mmengine - INFO - Epoch(train) [100][520/3757] lr: 1.000e-04 eta: 0:14:47 time: 0.255 data_time: 0.007 memory: 6404 grad_norm: 8.6714 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6038 loss: 0.6038 2022/06/30 20:49:39 - mmengine - INFO - Epoch(train) [100][540/3757] lr: 1.000e-04 eta: 0:14:42 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 9.5874 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0858 loss: 1.0858 2022/06/30 20:49:44 - mmengine - INFO - Epoch(train) [100][560/3757] lr: 1.000e-04 eta: 0:14:36 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 8.3561 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9675 loss: 0.9675 2022/06/30 20:49:50 - mmengine - INFO - Epoch(train) [100][580/3757] lr: 1.000e-04 eta: 0:14:31 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 7.7511 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7504 loss: 0.7504 2022/06/30 20:49:55 - mmengine - INFO - Epoch(train) [100][600/3757] lr: 1.000e-04 eta: 0:14:25 time: 0.252 data_time: 0.011 memory: 6404 grad_norm: 8.8067 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0115 loss: 1.0115 2022/06/30 20:50:00 - mmengine - INFO - Epoch(train) [100][620/3757] lr: 1.000e-04 eta: 0:14:20 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 11.4125 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0576 loss: 1.0576 2022/06/30 20:50:06 - mmengine - INFO - Epoch(train) [100][640/3757] lr: 1.000e-04 eta: 0:14:14 time: 0.248 data_time: 0.008 memory: 6404 grad_norm: 9.0594 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9358 loss: 0.9358 2022/06/30 20:50:12 - mmengine - INFO - Epoch(train) [100][660/3757] lr: 1.000e-04 eta: 0:14:09 time: 0.257 data_time: 0.057 memory: 6404 grad_norm: 8.0385 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9798 loss: 0.9798 2022/06/30 20:50:17 - mmengine - INFO - Epoch(train) [100][680/3757] lr: 1.000e-04 eta: 0:14:04 time: 0.277 data_time: 0.011 memory: 6404 grad_norm: 11.4071 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0003 loss: 1.0003 2022/06/30 20:50:23 - mmengine - INFO - Epoch(train) [100][700/3757] lr: 1.000e-04 eta: 0:13:58 time: 0.260 data_time: 0.009 memory: 6404 grad_norm: 8.4561 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1446 loss: 1.1446 2022/06/30 20:50:28 - mmengine - INFO - Epoch(train) [100][720/3757] lr: 1.000e-04 eta: 0:13:53 time: 0.261 data_time: 0.020 memory: 6404 grad_norm: 11.0159 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1525 loss: 1.1525 2022/06/30 20:50:34 - mmengine - INFO - Epoch(train) [100][740/3757] lr: 1.000e-04 eta: 0:13:47 time: 0.252 data_time: 0.009 memory: 6404 grad_norm: 11.0103 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0533 loss: 1.0533 2022/06/30 20:50:39 - mmengine - INFO - Epoch(train) [100][760/3757] lr: 1.000e-04 eta: 0:13:42 time: 0.255 data_time: 0.019 memory: 6404 grad_norm: 8.8655 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0513 loss: 1.0513 2022/06/30 20:50:45 - mmengine - INFO - Epoch(train) [100][780/3757] lr: 1.000e-04 eta: 0:13:36 time: 0.265 data_time: 0.011 memory: 6404 grad_norm: 10.7507 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0760 loss: 1.0760 2022/06/30 20:50:50 - mmengine - INFO - Epoch(train) [100][800/3757] lr: 1.000e-04 eta: 0:13:31 time: 0.251 data_time: 0.010 memory: 6404 grad_norm: 8.5655 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1521 loss: 1.1521 2022/06/30 20:50:55 - mmengine - INFO - Epoch(train) [100][820/3757] lr: 1.000e-04 eta: 0:13:25 time: 0.254 data_time: 0.017 memory: 6404 grad_norm: 10.8972 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0548 loss: 1.0548 2022/06/30 20:51:01 - mmengine - INFO - Epoch(train) [100][840/3757] lr: 1.000e-04 eta: 0:13:20 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 7.2944 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8806 loss: 0.8806 2022/06/30 20:51:07 - mmengine - INFO - Epoch(train) [100][860/3757] lr: 1.000e-04 eta: 0:13:14 time: 0.252 data_time: 0.008 memory: 6404 grad_norm: 8.8585 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9478 loss: 0.9478 2022/06/30 20:51:13 - mmengine - INFO - Epoch(train) [100][880/3757] lr: 1.000e-04 eta: 0:13:09 time: 0.253 data_time: 0.016 memory: 6404 grad_norm: 6.4853 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7853 loss: 0.7853 2022/06/30 20:51:18 - mmengine - INFO - Epoch(train) [100][900/3757] lr: 1.000e-04 eta: 0:13:03 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 10.3421 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8580 loss: 0.8580 2022/06/30 20:51:23 - mmengine - INFO - Epoch(train) [100][920/3757] lr: 1.000e-04 eta: 0:12:58 time: 0.263 data_time: 0.017 memory: 6404 grad_norm: 8.5019 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9934 loss: 0.9934 2022/06/30 20:51:29 - mmengine - INFO - Epoch(train) [100][940/3757] lr: 1.000e-04 eta: 0:12:52 time: 0.247 data_time: 0.008 memory: 6404 grad_norm: 7.7784 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9494 loss: 0.9494 2022/06/30 20:51:34 - mmengine - INFO - Epoch(train) [100][960/3757] lr: 1.000e-04 eta: 0:12:47 time: 0.260 data_time: 0.011 memory: 6404 grad_norm: 9.9975 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3039 loss: 1.3039 2022/06/30 20:51:39 - mmengine - INFO - Epoch(train) [100][980/3757] lr: 1.000e-04 eta: 0:12:41 time: 0.258 data_time: 0.022 memory: 6404 grad_norm: 11.5022 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1436 loss: 1.1436 2022/06/30 20:51:45 - mmengine - INFO - Epoch(train) [100][1000/3757] lr: 1.000e-04 eta: 0:12:36 time: 0.248 data_time: 0.011 memory: 6404 grad_norm: 9.9446 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8417 loss: 0.8417 2022/06/30 20:51:50 - mmengine - INFO - Epoch(train) [100][1020/3757] lr: 1.000e-04 eta: 0:12:30 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 10.4337 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9906 loss: 0.9906 2022/06/30 20:51:55 - mmengine - INFO - Epoch(train) [100][1040/3757] lr: 1.000e-04 eta: 0:12:25 time: 0.251 data_time: 0.012 memory: 6404 grad_norm: 7.4819 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5946 loss: 0.5946 2022/06/30 20:52:00 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 20:52:01 - mmengine - INFO - Epoch(train) [100][1060/3757] lr: 1.000e-04 eta: 0:12:19 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 8.8690 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0542 loss: 1.0542 2022/06/30 20:52:06 - mmengine - INFO - Epoch(train) [100][1080/3757] lr: 1.000e-04 eta: 0:12:14 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 9.3995 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1905 loss: 1.1905 2022/06/30 20:52:12 - mmengine - INFO - Epoch(train) [100][1100/3757] lr: 1.000e-04 eta: 0:12:08 time: 0.281 data_time: 0.019 memory: 6404 grad_norm: 9.3904 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9478 loss: 0.9478 2022/06/30 20:52:17 - mmengine - INFO - Epoch(train) [100][1120/3757] lr: 1.000e-04 eta: 0:12:03 time: 0.251 data_time: 0.013 memory: 6404 grad_norm: 9.0793 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1102 loss: 1.1102 2022/06/30 20:52:23 - mmengine - INFO - Epoch(train) [100][1140/3757] lr: 1.000e-04 eta: 0:11:57 time: 0.253 data_time: 0.007 memory: 6404 grad_norm: 10.0778 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9562 loss: 0.9562 2022/06/30 20:52:29 - mmengine - INFO - Epoch(train) [100][1160/3757] lr: 1.000e-04 eta: 0:11:52 time: 0.275 data_time: 0.018 memory: 6404 grad_norm: 8.8518 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2665 loss: 1.2665 2022/06/30 20:52:34 - mmengine - INFO - Epoch(train) [100][1180/3757] lr: 1.000e-04 eta: 0:11:46 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 9.7962 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3431 loss: 1.3431 2022/06/30 20:52:40 - mmengine - INFO - Epoch(train) [100][1200/3757] lr: 1.000e-04 eta: 0:11:41 time: 0.256 data_time: 0.006 memory: 6404 grad_norm: 8.4869 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1239 loss: 1.1239 2022/06/30 20:52:46 - mmengine - INFO - Epoch(train) [100][1220/3757] lr: 1.000e-04 eta: 0:11:35 time: 0.301 data_time: 0.067 memory: 6404 grad_norm: 9.7327 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7861 loss: 0.7861 2022/06/30 20:52:51 - mmengine - INFO - Epoch(train) [100][1240/3757] lr: 1.000e-04 eta: 0:11:30 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 9.3994 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0528 loss: 1.0528 2022/06/30 20:52:57 - mmengine - INFO - Epoch(train) [100][1260/3757] lr: 1.000e-04 eta: 0:11:24 time: 0.255 data_time: 0.011 memory: 6404 grad_norm: 8.5698 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0501 loss: 1.0501 2022/06/30 20:53:02 - mmengine - INFO - Epoch(train) [100][1280/3757] lr: 1.000e-04 eta: 0:11:19 time: 0.284 data_time: 0.043 memory: 6404 grad_norm: 7.7296 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0202 loss: 1.0202 2022/06/30 20:53:07 - mmengine - INFO - Epoch(train) [100][1300/3757] lr: 1.000e-04 eta: 0:11:13 time: 0.237 data_time: 0.013 memory: 6404 grad_norm: 10.6962 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0280 loss: 1.0280 2022/06/30 20:53:12 - mmengine - INFO - Epoch(train) [100][1320/3757] lr: 1.000e-04 eta: 0:11:08 time: 0.273 data_time: 0.011 memory: 6404 grad_norm: 9.1432 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7011 loss: 0.7011 2022/06/30 20:53:18 - mmengine - INFO - Epoch(train) [100][1340/3757] lr: 1.000e-04 eta: 0:11:02 time: 0.268 data_time: 0.020 memory: 6404 grad_norm: 8.6808 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9417 loss: 0.9417 2022/06/30 20:53:23 - mmengine - INFO - Epoch(train) [100][1360/3757] lr: 1.000e-04 eta: 0:10:57 time: 0.268 data_time: 0.023 memory: 6404 grad_norm: 8.5564 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9412 loss: 0.9412 2022/06/30 20:53:29 - mmengine - INFO - Epoch(train) [100][1380/3757] lr: 1.000e-04 eta: 0:10:52 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 9.9465 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2644 loss: 1.2644 2022/06/30 20:53:34 - mmengine - INFO - Epoch(train) [100][1400/3757] lr: 1.000e-04 eta: 0:10:46 time: 0.253 data_time: 0.023 memory: 6404 grad_norm: 8.7249 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6755 loss: 0.6755 2022/06/30 20:53:39 - mmengine - INFO - Epoch(train) [100][1420/3757] lr: 1.000e-04 eta: 0:10:41 time: 0.269 data_time: 0.025 memory: 6404 grad_norm: 10.3442 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2199 loss: 1.2199 2022/06/30 20:53:45 - mmengine - INFO - Epoch(train) [100][1440/3757] lr: 1.000e-04 eta: 0:10:35 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 5.9893 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6210 loss: 0.6210 2022/06/30 20:53:50 - mmengine - INFO - Epoch(train) [100][1460/3757] lr: 1.000e-04 eta: 0:10:30 time: 0.271 data_time: 0.007 memory: 6404 grad_norm: 10.4831 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9606 loss: 0.9606 2022/06/30 20:53:56 - mmengine - INFO - Epoch(train) [100][1480/3757] lr: 1.000e-04 eta: 0:10:24 time: 0.256 data_time: 0.027 memory: 6404 grad_norm: 10.0507 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0439 loss: 1.0439 2022/06/30 20:54:02 - mmengine - INFO - Epoch(train) [100][1500/3757] lr: 1.000e-04 eta: 0:10:19 time: 0.249 data_time: 0.007 memory: 6404 grad_norm: 10.1598 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9569 loss: 0.9569 2022/06/30 20:54:08 - mmengine - INFO - Epoch(train) [100][1520/3757] lr: 1.000e-04 eta: 0:10:13 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 8.9927 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9040 loss: 0.9040 2022/06/30 20:54:13 - mmengine - INFO - Epoch(train) [100][1540/3757] lr: 1.000e-04 eta: 0:10:08 time: 0.250 data_time: 0.030 memory: 6404 grad_norm: 9.7421 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8065 loss: 0.8065 2022/06/30 20:54:18 - mmengine - INFO - Epoch(train) [100][1560/3757] lr: 1.000e-04 eta: 0:10:02 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 6.8485 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2102 loss: 1.2102 2022/06/30 20:54:24 - mmengine - INFO - Epoch(train) [100][1580/3757] lr: 1.000e-04 eta: 0:09:57 time: 0.273 data_time: 0.008 memory: 6404 grad_norm: 9.1845 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0017 loss: 1.0017 2022/06/30 20:54:29 - mmengine - INFO - Epoch(train) [100][1600/3757] lr: 1.000e-04 eta: 0:09:51 time: 0.252 data_time: 0.037 memory: 6404 grad_norm: 9.1796 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8454 loss: 0.8454 2022/06/30 20:54:34 - mmengine - INFO - Epoch(train) [100][1620/3757] lr: 1.000e-04 eta: 0:09:46 time: 0.262 data_time: 0.007 memory: 6404 grad_norm: 9.9926 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9137 loss: 0.9137 2022/06/30 20:54:40 - mmengine - INFO - Epoch(train) [100][1640/3757] lr: 1.000e-04 eta: 0:09:40 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 8.2010 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9606 loss: 0.9606 2022/06/30 20:54:46 - mmengine - INFO - Epoch(train) [100][1660/3757] lr: 1.000e-04 eta: 0:09:35 time: 0.272 data_time: 0.072 memory: 6404 grad_norm: 7.9775 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2555 loss: 1.2555 2022/06/30 20:54:51 - mmengine - INFO - Epoch(train) [100][1680/3757] lr: 1.000e-04 eta: 0:09:29 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 8.4327 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9824 loss: 0.9824 2022/06/30 20:54:56 - mmengine - INFO - Epoch(train) [100][1700/3757] lr: 1.000e-04 eta: 0:09:24 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 9.0794 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1132 loss: 1.1132 2022/06/30 20:55:02 - mmengine - INFO - Epoch(train) [100][1720/3757] lr: 1.000e-04 eta: 0:09:18 time: 0.258 data_time: 0.022 memory: 6404 grad_norm: 9.7586 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0336 loss: 1.0336 2022/06/30 20:55:07 - mmengine - INFO - Epoch(train) [100][1740/3757] lr: 1.000e-04 eta: 0:09:13 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 10.1094 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1485 loss: 1.1485 2022/06/30 20:55:13 - mmengine - INFO - Epoch(train) [100][1760/3757] lr: 1.000e-04 eta: 0:09:07 time: 0.459 data_time: 0.008 memory: 6404 grad_norm: 11.2373 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2047 loss: 1.2047 2022/06/30 20:55:18 - mmengine - INFO - Epoch(train) [100][1780/3757] lr: 1.000e-04 eta: 0:09:02 time: 0.260 data_time: 0.022 memory: 6404 grad_norm: 6.8435 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7848 loss: 0.7848 2022/06/30 20:55:25 - mmengine - INFO - Epoch(train) [100][1800/3757] lr: 1.000e-04 eta: 0:08:56 time: 0.256 data_time: 0.019 memory: 6404 grad_norm: 8.3882 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7346 loss: 0.7346 2022/06/30 20:55:30 - mmengine - INFO - Epoch(train) [100][1820/3757] lr: 1.000e-04 eta: 0:08:51 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 8.3938 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8182 loss: 0.8182 2022/06/30 20:55:35 - mmengine - INFO - Epoch(train) [100][1840/3757] lr: 1.000e-04 eta: 0:08:45 time: 0.314 data_time: 0.011 memory: 6404 grad_norm: 10.7619 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0012 loss: 1.0012 2022/06/30 20:55:41 - mmengine - INFO - Epoch(train) [100][1860/3757] lr: 1.000e-04 eta: 0:08:40 time: 0.278 data_time: 0.011 memory: 6404 grad_norm: 9.2098 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8557 loss: 0.8557 2022/06/30 20:55:46 - mmengine - INFO - Epoch(train) [100][1880/3757] lr: 1.000e-04 eta: 0:08:34 time: 0.256 data_time: 0.009 memory: 6404 grad_norm: 9.5637 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1319 loss: 1.1319 2022/06/30 20:55:51 - mmengine - INFO - Epoch(train) [100][1900/3757] lr: 1.000e-04 eta: 0:08:29 time: 0.301 data_time: 0.015 memory: 6404 grad_norm: 9.1621 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9342 loss: 0.9342 2022/06/30 20:55:57 - mmengine - INFO - Epoch(train) [100][1920/3757] lr: 1.000e-04 eta: 0:08:23 time: 0.260 data_time: 0.007 memory: 6404 grad_norm: 7.6050 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7435 loss: 0.7435 2022/06/30 20:56:02 - mmengine - INFO - Epoch(train) [100][1940/3757] lr: 1.000e-04 eta: 0:08:18 time: 0.269 data_time: 0.009 memory: 6404 grad_norm: 8.1978 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9494 loss: 0.9494 2022/06/30 20:56:07 - mmengine - INFO - Epoch(train) [100][1960/3757] lr: 1.000e-04 eta: 0:08:12 time: 0.253 data_time: 0.020 memory: 6404 grad_norm: 8.4736 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0891 loss: 1.0891 2022/06/30 20:56:13 - mmengine - INFO - Epoch(train) [100][1980/3757] lr: 1.000e-04 eta: 0:08:07 time: 0.257 data_time: 0.010 memory: 6404 grad_norm: 12.1757 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1007 loss: 1.1007 2022/06/30 20:56:18 - mmengine - INFO - Epoch(train) [100][2000/3757] lr: 1.000e-04 eta: 0:08:01 time: 0.259 data_time: 0.009 memory: 6404 grad_norm: 9.6532 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.8664 loss: 0.8664 2022/06/30 20:56:24 - mmengine - INFO - Epoch(train) [100][2020/3757] lr: 1.000e-04 eta: 0:07:56 time: 0.272 data_time: 0.049 memory: 6404 grad_norm: 8.9657 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8000 loss: 0.8000 2022/06/30 20:56:29 - mmengine - INFO - Epoch(train) [100][2040/3757] lr: 1.000e-04 eta: 0:07:50 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 9.4830 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8114 loss: 0.8114 2022/06/30 20:56:33 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 20:56:34 - mmengine - INFO - Epoch(train) [100][2060/3757] lr: 1.000e-04 eta: 0:07:45 time: 0.254 data_time: 0.009 memory: 6404 grad_norm: 9.5554 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9161 loss: 0.9161 2022/06/30 20:56:39 - mmengine - INFO - Epoch(train) [100][2080/3757] lr: 1.000e-04 eta: 0:07:39 time: 0.265 data_time: 0.008 memory: 6404 grad_norm: 9.8577 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0371 loss: 1.0371 2022/06/30 20:56:46 - mmengine - INFO - Epoch(train) [100][2100/3757] lr: 1.000e-04 eta: 0:07:34 time: 0.256 data_time: 0.007 memory: 6404 grad_norm: 11.4001 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8540 loss: 0.8540 2022/06/30 20:56:51 - mmengine - INFO - Epoch(train) [100][2120/3757] lr: 1.000e-04 eta: 0:07:29 time: 0.251 data_time: 0.008 memory: 6404 grad_norm: 8.9287 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4308 loss: 1.4308 2022/06/30 20:56:56 - mmengine - INFO - Epoch(train) [100][2140/3757] lr: 1.000e-04 eta: 0:07:23 time: 0.256 data_time: 0.014 memory: 6404 grad_norm: 8.3581 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6359 loss: 0.6359 2022/06/30 20:57:02 - mmengine - INFO - Epoch(train) [100][2160/3757] lr: 1.000e-04 eta: 0:07:18 time: 0.258 data_time: 0.007 memory: 6404 grad_norm: 11.3924 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1182 loss: 1.1182 2022/06/30 20:57:07 - mmengine - INFO - Epoch(train) [100][2180/3757] lr: 1.000e-04 eta: 0:07:12 time: 0.263 data_time: 0.054 memory: 6404 grad_norm: 9.6611 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.6815 loss: 0.6815 2022/06/30 20:57:13 - mmengine - INFO - Epoch(train) [100][2200/3757] lr: 1.000e-04 eta: 0:07:07 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 8.8179 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9595 loss: 0.9595 2022/06/30 20:57:18 - mmengine - INFO - Epoch(train) [100][2220/3757] lr: 1.000e-04 eta: 0:07:01 time: 0.259 data_time: 0.012 memory: 6404 grad_norm: 8.7598 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8526 loss: 0.8526 2022/06/30 20:57:24 - mmengine - INFO - Epoch(train) [100][2240/3757] lr: 1.000e-04 eta: 0:06:56 time: 0.250 data_time: 0.023 memory: 6404 grad_norm: 10.4296 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2702 loss: 1.2702 2022/06/30 20:57:29 - mmengine - INFO - Epoch(train) [100][2260/3757] lr: 1.000e-04 eta: 0:06:50 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 9.8094 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8047 loss: 0.8047 2022/06/30 20:57:34 - mmengine - INFO - Epoch(train) [100][2280/3757] lr: 1.000e-04 eta: 0:06:45 time: 0.294 data_time: 0.013 memory: 6404 grad_norm: 9.8281 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1211 loss: 1.1211 2022/06/30 20:57:40 - mmengine - INFO - Epoch(train) [100][2300/3757] lr: 1.000e-04 eta: 0:06:39 time: 0.250 data_time: 0.056 memory: 6404 grad_norm: 9.6228 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9008 loss: 0.9008 2022/06/30 20:57:45 - mmengine - INFO - Epoch(train) [100][2320/3757] lr: 1.000e-04 eta: 0:06:34 time: 0.264 data_time: 0.013 memory: 6404 grad_norm: 9.4419 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0122 loss: 1.0122 2022/06/30 20:57:50 - mmengine - INFO - Epoch(train) [100][2340/3757] lr: 1.000e-04 eta: 0:06:28 time: 0.259 data_time: 0.007 memory: 6404 grad_norm: 8.6588 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8623 loss: 0.8623 2022/06/30 20:57:56 - mmengine - INFO - Epoch(train) [100][2360/3757] lr: 1.000e-04 eta: 0:06:23 time: 0.243 data_time: 0.020 memory: 6404 grad_norm: 8.1359 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9626 loss: 0.9626 2022/06/30 20:58:02 - mmengine - INFO - Epoch(train) [100][2380/3757] lr: 1.000e-04 eta: 0:06:17 time: 0.255 data_time: 0.023 memory: 6404 grad_norm: 8.6681 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8480 loss: 0.8480 2022/06/30 20:58:08 - mmengine - INFO - Epoch(train) [100][2400/3757] lr: 1.000e-04 eta: 0:06:12 time: 0.261 data_time: 0.007 memory: 6404 grad_norm: 8.7714 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9256 loss: 0.9256 2022/06/30 20:58:13 - mmengine - INFO - Epoch(train) [100][2420/3757] lr: 1.000e-04 eta: 0:06:06 time: 0.266 data_time: 0.020 memory: 6404 grad_norm: 10.5782 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0287 loss: 1.0287 2022/06/30 20:58:18 - mmengine - INFO - Epoch(train) [100][2440/3757] lr: 1.000e-04 eta: 0:06:01 time: 0.252 data_time: 0.034 memory: 6404 grad_norm: 9.2804 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8006 loss: 0.8006 2022/06/30 20:58:24 - mmengine - INFO - Epoch(train) [100][2460/3757] lr: 1.000e-04 eta: 0:05:55 time: 0.316 data_time: 0.010 memory: 6404 grad_norm: 10.5851 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7471 loss: 0.7471 2022/06/30 20:58:29 - mmengine - INFO - Epoch(train) [100][2480/3757] lr: 1.000e-04 eta: 0:05:50 time: 0.266 data_time: 0.024 memory: 6404 grad_norm: 9.3725 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0994 loss: 1.0994 2022/06/30 20:58:34 - mmengine - INFO - Epoch(train) [100][2500/3757] lr: 1.000e-04 eta: 0:05:44 time: 0.266 data_time: 0.014 memory: 6404 grad_norm: 10.0841 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1287 loss: 1.1287 2022/06/30 20:58:39 - mmengine - INFO - Epoch(train) [100][2520/3757] lr: 1.000e-04 eta: 0:05:39 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 9.5249 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9509 loss: 0.9509 2022/06/30 20:58:45 - mmengine - INFO - Epoch(train) [100][2540/3757] lr: 1.000e-04 eta: 0:05:33 time: 0.603 data_time: 0.412 memory: 6404 grad_norm: 9.2678 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2901 loss: 1.2901 2022/06/30 20:58:50 - mmengine - INFO - Epoch(train) [100][2560/3757] lr: 1.000e-04 eta: 0:05:28 time: 0.251 data_time: 0.011 memory: 6404 grad_norm: 9.2011 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7385 loss: 0.7385 2022/06/30 20:58:56 - mmengine - INFO - Epoch(train) [100][2580/3757] lr: 1.000e-04 eta: 0:05:22 time: 0.275 data_time: 0.008 memory: 6404 grad_norm: 9.0201 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9542 loss: 0.9542 2022/06/30 20:59:01 - mmengine - INFO - Epoch(train) [100][2600/3757] lr: 1.000e-04 eta: 0:05:17 time: 0.262 data_time: 0.023 memory: 6404 grad_norm: 9.9332 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9981 loss: 0.9981 2022/06/30 20:59:07 - mmengine - INFO - Epoch(train) [100][2620/3757] lr: 1.000e-04 eta: 0:05:11 time: 0.243 data_time: 0.008 memory: 6404 grad_norm: 10.0943 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8775 loss: 0.8775 2022/06/30 20:59:12 - mmengine - INFO - Epoch(train) [100][2640/3757] lr: 1.000e-04 eta: 0:05:06 time: 0.257 data_time: 0.011 memory: 6404 grad_norm: 11.4548 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9814 loss: 0.9814 2022/06/30 20:59:18 - mmengine - INFO - Epoch(train) [100][2660/3757] lr: 1.000e-04 eta: 0:05:00 time: 0.257 data_time: 0.022 memory: 6404 grad_norm: 9.3026 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1387 loss: 1.1387 2022/06/30 20:59:24 - mmengine - INFO - Epoch(train) [100][2680/3757] lr: 1.000e-04 eta: 0:04:55 time: 0.253 data_time: 0.011 memory: 6404 grad_norm: 9.0009 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9365 loss: 0.9365 2022/06/30 20:59:29 - mmengine - INFO - Epoch(train) [100][2700/3757] lr: 1.000e-04 eta: 0:04:49 time: 0.263 data_time: 0.009 memory: 6404 grad_norm: 10.0318 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7866 loss: 0.7866 2022/06/30 20:59:34 - mmengine - INFO - Epoch(train) [100][2720/3757] lr: 1.000e-04 eta: 0:04:44 time: 0.251 data_time: 0.015 memory: 6404 grad_norm: 8.8101 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0076 loss: 1.0076 2022/06/30 20:59:40 - mmengine - INFO - Epoch(train) [100][2740/3757] lr: 1.000e-04 eta: 0:04:38 time: 0.257 data_time: 0.012 memory: 6404 grad_norm: 11.4036 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0016 loss: 1.0016 2022/06/30 20:59:46 - mmengine - INFO - Epoch(train) [100][2760/3757] lr: 1.000e-04 eta: 0:04:33 time: 0.267 data_time: 0.007 memory: 6404 grad_norm: 9.9581 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7681 loss: 0.7681 2022/06/30 20:59:51 - mmengine - INFO - Epoch(train) [100][2780/3757] lr: 1.000e-04 eta: 0:04:27 time: 0.252 data_time: 0.020 memory: 6404 grad_norm: 7.6942 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1413 loss: 1.1413 2022/06/30 20:59:57 - mmengine - INFO - Epoch(train) [100][2800/3757] lr: 1.000e-04 eta: 0:04:22 time: 0.254 data_time: 0.010 memory: 6404 grad_norm: 9.5651 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8571 loss: 0.8571 2022/06/30 21:00:03 - mmengine - INFO - Epoch(train) [100][2820/3757] lr: 1.000e-04 eta: 0:04:17 time: 0.252 data_time: 0.007 memory: 6404 grad_norm: 10.8196 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6534 loss: 0.6534 2022/06/30 21:00:08 - mmengine - INFO - Epoch(train) [100][2840/3757] lr: 1.000e-04 eta: 0:04:11 time: 0.256 data_time: 0.011 memory: 6404 grad_norm: 9.4136 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8057 loss: 0.8057 2022/06/30 21:00:13 - mmengine - INFO - Epoch(train) [100][2860/3757] lr: 1.000e-04 eta: 0:04:06 time: 0.344 data_time: 0.008 memory: 6404 grad_norm: 10.0051 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1642 loss: 1.1642 2022/06/30 21:00:19 - mmengine - INFO - Epoch(train) [100][2880/3757] lr: 1.000e-04 eta: 0:04:00 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 9.0509 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9866 loss: 0.9866 2022/06/30 21:00:25 - mmengine - INFO - Epoch(train) [100][2900/3757] lr: 1.000e-04 eta: 0:03:55 time: 0.249 data_time: 0.012 memory: 6404 grad_norm: 7.7869 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2638 loss: 1.2638 2022/06/30 21:00:30 - mmengine - INFO - Epoch(train) [100][2920/3757] lr: 1.000e-04 eta: 0:03:49 time: 0.287 data_time: 0.008 memory: 6404 grad_norm: 11.0470 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9197 loss: 0.9197 2022/06/30 21:00:36 - mmengine - INFO - Epoch(train) [100][2940/3757] lr: 1.000e-04 eta: 0:03:44 time: 0.234 data_time: 0.006 memory: 6404 grad_norm: 8.8199 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9567 loss: 0.9567 2022/06/30 21:00:41 - mmengine - INFO - Epoch(train) [100][2960/3757] lr: 1.000e-04 eta: 0:03:38 time: 0.245 data_time: 0.011 memory: 6404 grad_norm: 9.6874 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2912 loss: 1.2912 2022/06/30 21:00:47 - mmengine - INFO - Epoch(train) [100][2980/3757] lr: 1.000e-04 eta: 0:03:33 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 7.4930 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8632 loss: 0.8632 2022/06/30 21:00:52 - mmengine - INFO - Epoch(train) [100][3000/3757] lr: 1.000e-04 eta: 0:03:27 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 7.7131 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9196 loss: 0.9196 2022/06/30 21:00:57 - mmengine - INFO - Epoch(train) [100][3020/3757] lr: 1.000e-04 eta: 0:03:22 time: 0.259 data_time: 0.008 memory: 6404 grad_norm: 7.6320 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2451 loss: 1.2451 2022/06/30 21:01:03 - mmengine - INFO - Epoch(train) [100][3040/3757] lr: 1.000e-04 eta: 0:03:16 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 7.8416 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9300 loss: 0.9300 2022/06/30 21:01:08 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 21:01:09 - mmengine - INFO - Epoch(train) [100][3060/3757] lr: 1.000e-04 eta: 0:03:11 time: 0.275 data_time: 0.008 memory: 6404 grad_norm: 10.4532 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1379 loss: 1.1379 2022/06/30 21:01:15 - mmengine - INFO - Epoch(train) [100][3080/3757] lr: 1.000e-04 eta: 0:03:05 time: 0.252 data_time: 0.012 memory: 6404 grad_norm: 9.6459 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9522 loss: 0.9522 2022/06/30 21:01:20 - mmengine - INFO - Epoch(train) [100][3100/3757] lr: 1.000e-04 eta: 0:03:00 time: 0.255 data_time: 0.008 memory: 6404 grad_norm: 7.8295 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9731 loss: 0.9731 2022/06/30 21:01:25 - mmengine - INFO - Epoch(train) [100][3120/3757] lr: 1.000e-04 eta: 0:02:54 time: 0.249 data_time: 0.016 memory: 6404 grad_norm: 11.3713 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8751 loss: 0.8751 2022/06/30 21:01:30 - mmengine - INFO - Epoch(train) [100][3140/3757] lr: 1.000e-04 eta: 0:02:49 time: 0.253 data_time: 0.008 memory: 6404 grad_norm: 9.5766 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7017 loss: 0.7017 2022/06/30 21:01:36 - mmengine - INFO - Epoch(train) [100][3160/3757] lr: 1.000e-04 eta: 0:02:43 time: 0.249 data_time: 0.009 memory: 6404 grad_norm: 9.7455 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1198 loss: 1.1198 2022/06/30 21:01:42 - mmengine - INFO - Epoch(train) [100][3180/3757] lr: 1.000e-04 eta: 0:02:38 time: 0.257 data_time: 0.007 memory: 6404 grad_norm: 9.3212 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0020 loss: 1.0020 2022/06/30 21:01:47 - mmengine - INFO - Epoch(train) [100][3200/3757] lr: 1.000e-04 eta: 0:02:32 time: 0.263 data_time: 0.010 memory: 6404 grad_norm: 8.5789 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3787 loss: 1.3787 2022/06/30 21:01:53 - mmengine - INFO - Epoch(train) [100][3220/3757] lr: 1.000e-04 eta: 0:02:27 time: 0.250 data_time: 0.014 memory: 6404 grad_norm: 9.6999 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0325 loss: 1.0325 2022/06/30 21:01:58 - mmengine - INFO - Epoch(train) [100][3240/3757] lr: 1.000e-04 eta: 0:02:21 time: 0.260 data_time: 0.008 memory: 6404 grad_norm: 9.2626 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2104 loss: 1.2104 2022/06/30 21:02:03 - mmengine - INFO - Epoch(train) [100][3260/3757] lr: 1.000e-04 eta: 0:02:16 time: 0.297 data_time: 0.009 memory: 6404 grad_norm: 9.9373 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8282 loss: 0.8282 2022/06/30 21:02:09 - mmengine - INFO - Epoch(train) [100][3280/3757] lr: 1.000e-04 eta: 0:02:10 time: 0.264 data_time: 0.017 memory: 6404 grad_norm: 10.9422 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9784 loss: 0.9784 2022/06/30 21:02:15 - mmengine - INFO - Epoch(train) [100][3300/3757] lr: 1.000e-04 eta: 0:02:05 time: 0.248 data_time: 0.009 memory: 6404 grad_norm: 8.8903 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1684 loss: 1.1684 2022/06/30 21:02:20 - mmengine - INFO - Epoch(train) [100][3320/3757] lr: 1.000e-04 eta: 0:01:59 time: 0.355 data_time: 0.012 memory: 6404 grad_norm: 7.5699 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8177 loss: 0.8177 2022/06/30 21:02:25 - mmengine - INFO - Epoch(train) [100][3340/3757] lr: 1.000e-04 eta: 0:01:54 time: 0.249 data_time: 0.021 memory: 6404 grad_norm: 8.9728 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1166 loss: 1.1166 2022/06/30 21:02:31 - mmengine - INFO - Epoch(train) [100][3360/3757] lr: 1.000e-04 eta: 0:01:48 time: 0.258 data_time: 0.014 memory: 6404 grad_norm: 6.5243 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3790 loss: 1.3790 2022/06/30 21:02:37 - mmengine - INFO - Epoch(train) [100][3380/3757] lr: 1.000e-04 eta: 0:01:43 time: 0.253 data_time: 0.009 memory: 6404 grad_norm: 8.4801 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8955 loss: 0.8955 2022/06/30 21:02:42 - mmengine - INFO - Epoch(train) [100][3400/3757] lr: 1.000e-04 eta: 0:01:37 time: 0.269 data_time: 0.008 memory: 6404 grad_norm: 8.8444 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0012 loss: 1.0012 2022/06/30 21:02:47 - mmengine - INFO - Epoch(train) [100][3420/3757] lr: 1.000e-04 eta: 0:01:32 time: 0.252 data_time: 0.010 memory: 6404 grad_norm: 8.8966 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3578 loss: 1.3578 2022/06/30 21:02:53 - mmengine - INFO - Epoch(train) [100][3440/3757] lr: 1.000e-04 eta: 0:01:26 time: 0.273 data_time: 0.009 memory: 6404 grad_norm: 8.9721 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8586 loss: 0.8586 2022/06/30 21:02:58 - mmengine - INFO - Epoch(train) [100][3460/3757] lr: 1.000e-04 eta: 0:01:21 time: 0.263 data_time: 0.016 memory: 6404 grad_norm: 8.8553 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1252 loss: 1.1252 2022/06/30 21:03:04 - mmengine - INFO - Epoch(train) [100][3480/3757] lr: 1.000e-04 eta: 0:01:15 time: 0.490 data_time: 0.014 memory: 6404 grad_norm: 10.1809 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1440 loss: 1.1440 2022/06/30 21:03:10 - mmengine - INFO - Epoch(train) [100][3500/3757] lr: 1.000e-04 eta: 0:01:10 time: 0.257 data_time: 0.013 memory: 6404 grad_norm: 8.5432 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2232 loss: 1.2232 2022/06/30 21:03:15 - mmengine - INFO - Epoch(train) [100][3520/3757] lr: 1.000e-04 eta: 0:01:05 time: 0.262 data_time: 0.015 memory: 6404 grad_norm: 8.7670 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8604 loss: 0.8604 2022/06/30 21:03:21 - mmengine - INFO - Epoch(train) [100][3540/3757] lr: 1.000e-04 eta: 0:00:59 time: 0.256 data_time: 0.008 memory: 6404 grad_norm: 10.9765 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8745 loss: 0.8745 2022/06/30 21:03:26 - mmengine - INFO - Epoch(train) [100][3560/3757] lr: 1.000e-04 eta: 0:00:54 time: 0.263 data_time: 0.013 memory: 6404 grad_norm: 9.7305 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.5948 loss: 0.5948 2022/06/30 21:03:31 - mmengine - INFO - Epoch(train) [100][3580/3757] lr: 1.000e-04 eta: 0:00:48 time: 0.263 data_time: 0.008 memory: 6404 grad_norm: 9.9776 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5291 loss: 1.5291 2022/06/30 21:03:37 - mmengine - INFO - Epoch(train) [100][3600/3757] lr: 1.000e-04 eta: 0:00:43 time: 0.270 data_time: 0.019 memory: 6404 grad_norm: 9.0622 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2322 loss: 1.2322 2022/06/30 21:03:43 - mmengine - INFO - Epoch(train) [100][3620/3757] lr: 1.000e-04 eta: 0:00:37 time: 0.255 data_time: 0.016 memory: 6404 grad_norm: 7.1253 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7769 loss: 0.7769 2022/06/30 21:03:48 - mmengine - INFO - Epoch(train) [100][3640/3757] lr: 1.000e-04 eta: 0:00:32 time: 0.269 data_time: 0.008 memory: 6404 grad_norm: 9.3629 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7896 loss: 0.7896 2022/06/30 21:03:54 - mmengine - INFO - Epoch(train) [100][3660/3757] lr: 1.000e-04 eta: 0:00:26 time: 0.277 data_time: 0.016 memory: 6404 grad_norm: 9.3893 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1736 loss: 1.1736 2022/06/30 21:03:59 - mmengine - INFO - Epoch(train) [100][3680/3757] lr: 1.000e-04 eta: 0:00:21 time: 0.272 data_time: 0.008 memory: 6404 grad_norm: 9.6838 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6384 loss: 0.6384 2022/06/30 21:04:05 - mmengine - INFO - Epoch(train) [100][3700/3757] lr: 1.000e-04 eta: 0:00:15 time: 0.275 data_time: 0.009 memory: 6404 grad_norm: 9.1211 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8358 loss: 0.8358 2022/06/30 21:04:10 - mmengine - INFO - Epoch(train) [100][3720/3757] lr: 1.000e-04 eta: 0:00:10 time: 0.290 data_time: 0.010 memory: 6404 grad_norm: 9.1482 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9783 loss: 0.9783 2022/06/30 21:04:16 - mmengine - INFO - Epoch(train) [100][3740/3757] lr: 1.000e-04 eta: 0:00:04 time: 0.270 data_time: 0.007 memory: 6404 grad_norm: 9.7189 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6974 loss: 0.6974 2022/06/30 21:04:20 - mmengine - INFO - Exp name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20220629_135933 2022/06/30 21:04:20 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/06/30 21:04:31 - mmengine - INFO - Epoch(val) [100][20/310] eta: 0:01:24 time: 0.081 data_time: 0.005 memory: 6404 2022/06/30 21:04:37 - mmengine - INFO - Epoch(val) [100][40/310] eta: 0:01:29 time: 0.096 data_time: 0.006 memory: 1479 2022/06/30 21:04:41 - mmengine - INFO - Epoch(val) [100][60/310] eta: 0:00:29 time: 0.077 data_time: 0.005 memory: 1479 2022/06/30 21:04:47 - mmengine - INFO - Epoch(val) [100][80/310] eta: 0:01:09 time: 0.082 data_time: 0.007 memory: 1479 2022/06/30 21:04:53 - mmengine - INFO - Epoch(val) [100][100/310] eta: 0:00:58 time: 0.096 data_time: 0.011 memory: 1479 2022/06/30 21:04:57 - mmengine - INFO - Epoch(val) [100][120/310] eta: 0:00:32 time: 0.085 data_time: 0.009 memory: 1479 2022/06/30 21:05:03 - mmengine - INFO - Epoch(val) [100][140/310] eta: 0:00:51 time: 0.077 data_time: 0.005 memory: 1479 2022/06/30 21:05:09 - mmengine - INFO - Epoch(val) [100][160/310] eta: 0:00:46 time: 0.099 data_time: 0.010 memory: 1479 2022/06/30 21:05:13 - mmengine - INFO - Epoch(val) [100][180/310] eta: 0:00:33 time: 0.079 data_time: 0.006 memory: 1479 2022/06/30 21:05:19 - mmengine - INFO - Epoch(val) [100][200/310] eta: 0:00:29 time: 0.077 data_time: 0.005 memory: 1479 2022/06/30 21:05:25 - mmengine - INFO - Epoch(val) [100][220/310] eta: 0:00:28 time: 0.087 data_time: 0.006 memory: 1479 2022/06/30 21:05:29 - mmengine - INFO - Epoch(val) [100][240/310] eta: 0:00:16 time: 0.083 data_time: 0.006 memory: 1479 2022/06/30 21:05:35 - mmengine - INFO - Epoch(val) [100][260/310] eta: 0:00:14 time: 0.086 data_time: 0.007 memory: 1479 2022/06/30 21:05:41 - mmengine - INFO - Epoch(val) [100][280/310] eta: 0:00:09 time: 0.100 data_time: 0.011 memory: 1479 2022/06/30 21:05:43 - mmengine - INFO - Epoch(val) [100][300/310] eta: 0:00:01 time: 0.075 data_time: 0.005 memory: 1479 2022/06/30 21:05:45 - mmengine - INFO - Epoch(val) [100][310/310] acc/top1: 0.6752 acc/top5: 0.8729 acc/mean1: 0.6751