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 -